From af84a53832671dd7acb388eb2298c7a660a47b83 Mon Sep 17 00:00:00 2001
From: Vincent van Hees <v.vanhees@accelting.com>
Date: Wed, 11 Dec 2024 16:20:08 +0100
Subject: [PATCH] rebuild vignette in preparation for GitHub only 3.1-8 release

---
 docs/404.html                                 |    6 +-
 docs/CODE_OF_CONDUCT.html                     |    4 +-
 docs/CONTRIBUTING.html                        |    4 +-
 docs/LICENSE-text.html                        |    4 +-
 docs/RELEASE_CYCLE.html                       |    4 +-
 docs/articles/Cookbook.html                   |    6 +-
 docs/articles/CutPoints.html                  |    6 +-
 docs/articles/ExternalFunction.html           |    6 +-
 docs/articles/GGIR.html                       |    6 +-
 docs/articles/GGIRParameters.html             |  286 +-
 docs/articles/GGIRoutput.html                 |  491 +-
 docs/articles/HouseHoldCoanalysis.html        |    6 +-
 docs/articles/TutorialDaySegmentAnalyses.html |    6 +-
 docs/articles/chapter0_Contributing.html      |    6 +-
 docs/articles/chapter0_GetStarted.html        |    6 +-
 docs/articles/chapter0_Installation.html      |    6 +-
 docs/articles/chapter0_Support.html           |    6 +-
 docs/articles/chapter10_SleepAnalysis.html    |   14 +-
 .../chapter11_DescribingDataCutPoints.html    |    6 +-
 docs/articles/chapter12_TimeUseAnalysis.html  |   74 +-
 docs/articles/chapter13_CircadianRhythm.html  |    6 +-
 .../chapter14_BehaviouralFragmentation.html   |    6 +-
 docs/articles/chapter1_WhatIsGGIR.html        |    6 +-
 docs/articles/chapter2_Pipeline.html          |    6 +-
 docs/articles/chapter3_QualityAssessment.html |    6 +-
 docs/articles/chapter4_AccMetrics.html        |    6 +-
 docs/articles/chapter5_StudyProtocol.html     |    6 +-
 docs/articles/chapter6_DataImputation.html    |    6 +-
 ...er7_DescribingDataWithoutKnowingSleep.html |    6 +-
 .../chapter8_SleepFundamentalsSibs.html       |    6 +-
 .../chapter9_SleepFundamentalsGuiders.html    |   23 +-
 docs/articles/chapterInProgress.html          |    6 +-
 docs/articles/index.html                      |    4 +-
 docs/articles/readmyacccsv.html               |   37 +-
 docs/authors.html                             |    8 +-
 docs/deps/data-deps.txt                       |    4 +-
 docs/deps/font-awesome-6.5.2/css/all.css      | 8028 +++++++++++++++++
 docs/deps/font-awesome-6.5.2/css/all.min.css  |    9 +
 docs/deps/font-awesome-6.5.2/css/v4-shims.css | 2194 +++++
 .../font-awesome-6.5.2/css/v4-shims.min.css   |    6 +
 .../webfonts/fa-brands-400.ttf                |  Bin 0 -> 209128 bytes
 .../webfonts/fa-brands-400.woff2              |  Bin 0 -> 117852 bytes
 .../webfonts/fa-regular-400.ttf               |  Bin 0 -> 67860 bytes
 .../webfonts/fa-regular-400.woff2             |  Bin 0 -> 25392 bytes
 .../webfonts/fa-solid-900.ttf                 |  Bin 0 -> 420332 bytes
 .../webfonts/fa-solid-900.woff2               |  Bin 0 -> 156400 bytes
 .../webfonts/fa-v4compatibility.ttf           |  Bin 0 -> 10832 bytes
 .../webfonts/fa-v4compatibility.woff2         |  Bin 0 -> 4792 bytes
 docs/index.html                               |    6 +-
 docs/news/index.html                          |   14 +-
 docs/pkgdown.yml                              |    2 +-
 docs/search.json                              |    2 +-
 docs/sitemap.xml                              |    2 +
 53 files changed, 10959 insertions(+), 399 deletions(-)
 create mode 100644 docs/deps/font-awesome-6.5.2/css/all.css
 create mode 100644 docs/deps/font-awesome-6.5.2/css/all.min.css
 create mode 100644 docs/deps/font-awesome-6.5.2/css/v4-shims.css
 create mode 100644 docs/deps/font-awesome-6.5.2/css/v4-shims.min.css
 create mode 100644 docs/deps/font-awesome-6.5.2/webfonts/fa-brands-400.ttf
 create mode 100644 docs/deps/font-awesome-6.5.2/webfonts/fa-brands-400.woff2
 create mode 100644 docs/deps/font-awesome-6.5.2/webfonts/fa-regular-400.ttf
 create mode 100644 docs/deps/font-awesome-6.5.2/webfonts/fa-regular-400.woff2
 create mode 100644 docs/deps/font-awesome-6.5.2/webfonts/fa-solid-900.ttf
 create mode 100644 docs/deps/font-awesome-6.5.2/webfonts/fa-solid-900.woff2
 create mode 100644 docs/deps/font-awesome-6.5.2/webfonts/fa-v4compatibility.ttf
 create mode 100644 docs/deps/font-awesome-6.5.2/webfonts/fa-v4compatibility.woff2

diff --git a/docs/404.html b/docs/404.html
index 3d469ca59..0ca86fc83 100644
--- a/docs/404.html
+++ b/docs/404.html
@@ -8,8 +8,8 @@
 <title>Page not found (404) • GGIR</title>
 <script src="https://wadpac.github.io/GGIR/deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="https://wadpac.github.io/GGIR/deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="https://wadpac.github.io/GGIR/deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="https://wadpac.github.io/GGIR/deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="https://wadpac.github.io/GGIR/deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="https://wadpac.github.io/GGIR/deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="https://wadpac.github.io/GGIR/deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="https://wadpac.github.io/GGIR/deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="https://wadpac.github.io/GGIR/deps/headroom-0.11.0/headroom.min.js"></script><script src="https://wadpac.github.io/GGIR/deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="https://wadpac.github.io/GGIR/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="https://wadpac.github.io/GGIR/deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="https://wadpac.github.io/GGIR/deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="https://wadpac.github.io/GGIR/deps/search-1.0.0/fuse.min.js"></script><script src="https://wadpac.github.io/GGIR/deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="https://wadpac.github.io/GGIR/pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="https://wadpac.github.io/GGIR/index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/CODE_OF_CONDUCT.html b/docs/CODE_OF_CONDUCT.html
index 12953167c..e3484cf49 100644
--- a/docs/CODE_OF_CONDUCT.html
+++ b/docs/CODE_OF_CONDUCT.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • GGIR</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • GGIR</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/CONTRIBUTING.html b/docs/CONTRIBUTING.html
index 0405182c3..851ef424b 100644
--- a/docs/CONTRIBUTING.html
+++ b/docs/CONTRIBUTING.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributing guidelines • GGIR</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributing guidelines"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributing guidelines • GGIR</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributing guidelines"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html
index 536ebb866..7610b6ad1 100644
--- a/docs/LICENSE-text.html
+++ b/docs/LICENSE-text.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • GGIR</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="License"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • GGIR</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="License"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/RELEASE_CYCLE.html b/docs/RELEASE_CYCLE.html
index 941fb53bc..da0643713 100644
--- a/docs/RELEASE_CYCLE.html
+++ b/docs/RELEASE_CYCLE.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Version numbering • GGIR</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Version numbering"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Version numbering • GGIR</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Version numbering"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/Cookbook.html b/docs/articles/Cookbook.html
index d9d28b894..01e1f5ec2 100644
--- a/docs/articles/Cookbook.html
+++ b/docs/articles/Cookbook.html
@@ -8,8 +8,8 @@
 <title>Cookbook • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cookbook">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/CutPoints.html b/docs/articles/CutPoints.html
index eeced9e69..163df22e3 100644
--- a/docs/articles/CutPoints.html
+++ b/docs/articles/CutPoints.html
@@ -8,8 +8,8 @@
 <title>Published cut-points and how to use them in GGIR • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Published cut-points and how to use them in GGIR">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/ExternalFunction.html b/docs/articles/ExternalFunction.html
index 2bffae0bf..159f58567 100644
--- a/docs/articles/ExternalFunction.html
+++ b/docs/articles/ExternalFunction.html
@@ -8,8 +8,8 @@
 <title>Embedding external functions in GGIR • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Embedding external functions in GGIR">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/GGIR.html b/docs/articles/GGIR.html
index cdb57ee4f..b97699816 100644
--- a/docs/articles/GGIR.html
+++ b/docs/articles/GGIR.html
@@ -8,8 +8,8 @@
 <title>Accelerometer data processing with GGIR • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Accelerometer data processing with GGIR">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/GGIRParameters.html b/docs/articles/GGIRParameters.html
index 7ab2cab0e..63e8d4ae3 100644
--- a/docs/articles/GGIRParameters.html
+++ b/docs/articles/GGIRParameters.html
@@ -8,8 +8,8 @@
 <title>GGIR configuration parameters • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="GGIR configuration parameters">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -634,6 +634,16 @@ <h2 id="input-argumentsparameters-overview">Input arguments/parameters overview<
 <td>params_cleaning</td>
 </tr>
 <tr class="even">
+<td>nonwearFiltermaxHours</td>
+<td>2</td>
+<td>params_cleaning</td>
+</tr>
+<tr class="odd">
+<td>nonwearFilterWindow</td>
+<td>2</td>
+<td>params_cleaning</td>
+</tr>
+<tr class="even">
 <td>L5M5window</td>
 <td>2</td>
 <td>params_247</td>
@@ -864,50 +874,60 @@ <h2 id="input-argumentsparameters-overview">Input arguments/parameters overview<
 <td>params_sleep</td>
 </tr>
 <tr class="even">
+<td>possible_nap_gap</td>
+<td>5</td>
+<td>params_sleep</td>
+</tr>
+<tr class="odd">
 <td>do.visual</td>
 <td>4</td>
 <td>params_output</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>outliers.only</td>
 <td>4</td>
 <td>params_output</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>excludefirstlast</td>
 <td>4</td>
 <td>params_cleaning</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>criterror</td>
 <td>4</td>
 <td>params_output</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>includenightcrit</td>
 <td>4</td>
 <td>params_cleaning</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>relyonguider</td>
 <td>4</td>
 <td>params_sleep</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>relyonsleeplog</td>
 <td>4</td>
 <td>deprecated</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>sleepefficiency.metric</td>
 <td>4</td>
 <td>params_sleep</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>def.noc.sleep</td>
 <td>4</td>
 <td>params_sleep</td>
 </tr>
+<tr class="even">
+<td>sib_must_fully_overlap_with_TimeInBed</td>
+<td>4</td>
+<td>params_sleep</td>
+</tr>
 <tr class="odd">
 <td>data_cleaning_file</td>
 <td>4, 5</td>
@@ -2211,6 +2231,40 @@ <h4 class="unnumbered" id="includenightcrit-part5">includenightcrit.part5<a clas
 which is only used in GGIR part 4 and applies to the entire 24 hour
 window from noon to noon or 6pm to 6pm.</p>
 </div>
+<div class="section level4">
+<h4 class="unnumbered" id="nonwearfiltermaxhours">nonwearFiltermaxHours<a class="anchor" aria-label="anchor" href="#nonwearfiltermaxhours"></a>
+</h4>
+<p>Numeric (default = NULL). If not NULL, ignore detected nonwear
+periods that last shorter than nonwearFiltermaxHours during a window as
+defined by parameter NonwearFilterWindow. If NonwearFilterWindow is not
+provided (set to NULL as is the default) check whether qwindow is
+defined as activity diary file and whether it has timestamps that allow
+for defining a time in bed, SPT or lightsoff window. For this the code
+looks for column names in the diary with the terms inbed, sleeponset, or
+lightsout to define the start of the window. Further, to define the end
+of the window the code looks for columns outbed, wakeup, or lightsoff.
+If yes, it uses the largest of the windows that can be defined with
+these timestamps. If not, use midnight-6am as fall back setting. You may
+realise that these columns are the same as the advanced format for the
+sleelog accepted by GGIR part 4. So, if you already have an advanced
+format sleeplog for part 4 then you can provide this as value for the
+qwindow parameter. If you want to use qwindow to guide the nonwear
+filtering as described in here but do not want GGIR to use it for day
+segment analysis in part 2 or 5 then make sure the diary filename
+includes the word “onlyfilter” or “filteronly” to tell GGIR to only use
+qwindow for nonwear filtering. The main purpose of this functionality is
+to offer the option to ignore short lasting nonwear episodes during the
+night when there is suspicion that these are falsely detect, e.g. in
+individuals with extended motionless sleep periods caused by
+medication.</p>
+</div>
+<div class="section level4">
+<h4 class="unnumbered" id="nonwearfilterwindow">nonwearFilterWindow<a class="anchor" aria-label="anchor" href="#nonwearfilterwindow"></a>
+</h4>
+<p>Numeric (default = NULL). Vector of length 2 to specify the start and
+end hour of the night to be used for the functionality as described
+above for NonwearFiltermaxHours.</p>
+</div>
 </div>
 <div class="section level3">
 <h3 id="sleep-parameters">Sleep Parameters<a class="anchor" aria-label="anchor" href="#sleep-parameters"></a>
@@ -2356,26 +2410,45 @@ <h4 class="unnumbered" id="sleepwindowtype">sleepwindowType<a class="anchor" ari
 <div class="section level4">
 <h4 class="unnumbered" id="possible_nap_window">possible_nap_window<a class="anchor" aria-label="anchor" href="#possible_nap_window"></a>
 </h4>
-<p>Numeric (default = c(9, 18)). Numeric vector of length two with range
-in clock hours during which naps are assumed to take place, e.g.,
-possible_nap_window = c(9, 18). Currently used in the context of an
-explorative nap classification algortihm that was trained in 3.5 year
-olds.</p>
+<p>Numeric (default = NULL). Numeric vector of length two with range in
+clock hours during which naps are assumed to take place, e.g.,
+possible_nap_window = c(9, 18). The nap classification is only applied
+if both possible_nap_window and possible_nap_dur are both specified.
+More documentation to follow in 2025 when development work has
+completed.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="possible_nap_dur">possible_nap_dur<a class="anchor" aria-label="anchor" href="#possible_nap_dur"></a>
 </h4>
-<p>Numeric (default = c(15, 240)). Numeric vector of length two with
-range in duration (minutes) of a nap, e.g., possible_nap_dur = c(15,
-240). Currently used in the context of an explorative nap classification
-algortihm that was trained in 3.5 year olds.</p>
+<p>Numeric (default = NULL). Numeric vector of length two with range in
+duration (minutes) of a nap, e.g., possible_nap_dur = c(15, 240). The
+nap classification is only applied if both possible_nap_window and
+possible_nap_dur are both specified. More documentation to follow in
+2025 when development work has completed.</p>
+</div>
+<div class="section level4">
+<h4 class="unnumbered" id="possible_nap_gap">possible_nap_gap<a class="anchor" aria-label="anchor" href="#possible_nap_gap"></a>
+</h4>
+<p>Numeric (default = 0). Time gap expressed in seconds that is allowed
+between the sustained inactivity bouts that form the naps.</p>
+</div>
+<div class="section level4">
+<h4 class="unnumbered" id="possible_nap_edge_acc">possible_nap_edge_acc<a class="anchor" aria-label="anchor" href="#possible_nap_edge_acc"></a>
+</h4>
+<p>Numeric (default = Inf). Maximum acceleration before or after the SIB
+for the nap to be considered. By default this will allow all possible
+naps.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="nap_model">nap_model<a class="anchor" aria-label="anchor" href="#nap_model"></a>
 </h4>
 <p>Character (default = NULL). To specify classification model.
 Currently the only option is “hip3yr”, which corresponds to a model
-trained with hip data in 3-3.5 olds trained with parent diary data.</p>
+trained with hip data in 3-3.5 olds trained with parent diary data. This
+functionality is currently superseded by nap detection which is
+triggered by possible_nap_window and possible_nap_dur. Leave nap_model
+as NULL when using the new functionality. More documentation to follow
+in 2025 when development work has completed.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="sleepefficiency-metric">sleepefficiency.metric<a class="anchor" aria-label="anchor" href="#sleepefficiency-metric"></a>
@@ -2386,14 +2459,7 @@ <h4 class="unnumbered" id="sleepefficiency-metric">sleepefficiency.metric<a clas
 during the SPT window divided by detected duration in sleep period time
 plus sleep latency (where sleep latency refers to the difference between
 time in bed and sleep onset). sleepefficiency.metric is only considered
-when argument sleepwindowType = “TimeInBed”</p>
-</div>
-<div class="section level4">
-<h4 class="unnumbered" id="possible_nap_edge_acc">possible_nap_edge_acc<a class="anchor" aria-label="anchor" href="#possible_nap_edge_acc"></a>
-</h4>
-<p>Numeric (default = Inf). Maximum acceleration before or after the SIB
-for the nap to be considered. By default this will allow all possible
-naps.</p>
+when parameter sleepwindowType = “TimeInBed”</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="hdcza_threshold">HDCZA_threshold<a class="anchor" aria-label="anchor" href="#hdcza_threshold"></a>
@@ -2409,6 +2475,18 @@ <h4 class="unnumbered" id="hdcza_threshold">HDCZA_threshold<a class="anchor" ari
 e.g. c(10, 15), that will be used as percentile and multiplier for the
 above mentioned 6th step.</p>
 </div>
+<div class="section level4">
+<h4 class="unnumbered" id="sib_must_fully_overlap_with_timeinbed">sib_must_fully_overlap_with_TimeInBed<a class="anchor" aria-label="anchor" href="#sib_must_fully_overlap_with_timeinbed"></a>
+</h4>
+<p>Boolean (default = c(TRUE, TRUE)). To indicate whether sib must fully
+overlap with TimeInBed to be considered sleep for the start and end of
+time in bed, respectively. Only considered when parameter
+sleepwindowType = “TimeInBed”. Note that negative sleep latency, if any,
+will be reported in the night summary report (part4_nightsummary_sleep
+csv files) but these negative sleep latency and corresponding sleep
+efficiency values when calculating the person summary aggregate as
+stored in the person level report (part4_summary_sleep csv files).</p>
+</div>
 </div>
 <div class="section level3">
 <h3 id="physical-activity-parameters">Physical activity Parameters<a class="anchor" aria-label="anchor" href="#physical-activity-parameters"></a>
@@ -2535,8 +2613,10 @@ <h4 class="unnumbered" id="frag-metrics">frag.metrics<a class="anchor" aria-labe
 <div class="section level4">
 <h4 class="unnumbered" id="part6_threshold_combi">part6_threshold_combi<a class="anchor" aria-label="anchor" href="#part6_threshold_combi"></a>
 </h4>
-<p>Character (default = “40_100_120”) to indicate the threshold
-combination derived in part 5 to be used for part 6</p>
+<p>Character (default = NULL) to indicate the threshold combination
+derived in part 5 to be used for part 6. For example, “40_100_120”. If
+left in default value GGIR will use the first threshold value from
+parameters threshold.lig, threshold.mod, and threshold.vig.</p>
 </div>
 </div>
 <div class="section level3">
@@ -2558,22 +2638,26 @@ <h4 class="unnumbered" id="qwindow">qwindow<a class="anchor" aria-label="anchor"
 row per recording, first column is recording ID, which needs to match
 with the ID GGIR extracts from the accelerometer file. Followed by date
 column in format “23-04-2017”, where date format is specified by
-argument qwindow_dateformat (below). Use the character combination date,
-Date or DATE in the column name. This is followed by one or multiple
-columns with start times for the activity types in that day format in
-hours:minutes:seconds. The header of the column will be used as label
-for each activity type. Insert a new date column before continuing with
-activity types for next day. Leave missing values empty. If an activity
-log is used then individuals who do not appear in the activity log will
-still be processed with value qwindow = c(0, 24). Dates with no activity
-log data can be skipped, no need to have a column with the date followed
-by a column with the next date. If times in the activity diary are not
-multiple of the short window size (epoch length), the next epoch is
-considered (e.g., with epoch of 5 seconds, 8:00:02 will be redefined as
-8:00:05 in the activity log). When using the qwindow functionality in
-combination with GGIR part 5 then make sure to check that arguments
-segmentWEARcrit.part5 and segmentDAYSPTcrit.part5 are specified to your
-research needs.</p>
+parameter qwindow_dateformat (below). Use the character combination
+date, Date or DATE in the column name. This is followed by one or
+multiple columns with start times for the activity types in that day
+format in hours:minutes:seconds. The header of the column will be used
+as label for each activity type. Insert a new date column before
+continuing with activity types for next day. Leave missing values empty.
+If an activity log is used then individuals who do not appear in the
+activity log will still be processed with value qwindow = c(0, 24).
+Dates with no activity log data can be skipped, no need to have a column
+with the date followed by a column with the next date. If times in the
+activity diary are not multiple of the short window size (epoch length),
+the next epoch is considered (e.g., with epoch of 5 seconds, 8:00:02
+will be redefined as 8:00:05 in the activity log). When using the
+qwindow functionality in combination with GGIR part 5 then make sure to
+check that parameters segmentWEARcrit.part5 and segmentDAYSPTcrit.part5
+are specified to your research needs. When using an activity diary be
+aware that any column name including the words “impute” or “uncertain”
+will be ignored. This means you can, for you own convenience, add
+columns to log which timestamps have been manually imputed or are
+considered uncertain.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="qlevels">qlevels<a class="anchor" aria-label="anchor" href="#qlevels"></a>
@@ -2582,7 +2666,7 @@ <h4 class="unnumbered" id="qlevels">qlevels<a class="anchor" aria-label="anchor"
 to be extracted. These need to be expressed as a fraction of 1, e.g.,
 c(0.1, 0.5, 0.75). There is no limit to the number of percentiles. If
 left empty then percentiles will not be extracted. Distribution will be
-derived from short epoch metric data. Argument qlevels can for example
+derived from short epoch metric data. Parameter qlevels can for example
 be used for the MX-metrics (e.g. Rowlands et al) as discussed in the
 ://cran.r-project.org/package=GGIR/vignettes/GGIR.htmlmain package
 vignette</p>
@@ -2610,7 +2694,7 @@ <h4 class="unnumbered" id="ivis_windowsize_minutes">IVIS_windowsize_minutes<a cl
 <div class="section level4">
 <h4 class="unnumbered" id="ivis_epochsize_seconds">IVIS_epochsize_seconds<a class="anchor" aria-label="anchor" href="#ivis_epochsize_seconds"></a>
 </h4>
-<p>This argument has been deprecated.</p>
+<p>Numeric (default = NULL). This parameter has been deprecated.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="ivis-activity-metric">IVIS.activity.metric<a class="anchor" aria-label="anchor" href="#ivis-activity-metric"></a>
@@ -2652,7 +2736,7 @@ <h4 class="unnumbered" id="iglevels">iglevels<a class="anchor" aria-label="ancho
 </h4>
 <p>Numeric (default = NULL). Levels for acceleration value frequency
 distribution in mused for intensity gradient calculation (according to
-the method by Rowlands 2018). By default this is argument is empty and
+the method by Rowlands 2018). By default this is parameter is empty and
 the intensity gradient calculation is not done. The user can either
 provide a single value (any) to make the intensity gradient use the bins
 iglevels = c(seq(0,4000,by=25), 8000) or the user could specify their
@@ -2688,9 +2772,9 @@ <h4 class="unnumbered" id="lux_day_segments">LUX_day_segments<a class="anchor" a
 <div class="section level4">
 <h4 class="unnumbered" id="l5m5window">L5M5window<a class="anchor" aria-label="anchor" href="#l5m5window"></a>
 </h4>
-<p>Argument deprecated after version 1.5-24. This argument used to
+<p>Has been deprecated after version 1.5-24. This parameter used to
 define the start and end time, in 24 hour clock hours, over which L5M5
-needs to be calculated. Now this is done with argument qwindow.</p>
+needs to be calculated. Now this is done with parameter qwindow.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="cosinor">cosinor<a class="anchor" aria-label="anchor" href="#cosinor"></a>
@@ -2735,6 +2819,14 @@ <h4 class="unnumbered" id="part6dfa">part6DFA<a class="anchor" aria-label="ancho
 Fluctuation Analysis. Turned off by default because it can be time
 consuming.</p>
 </div>
+<div class="section level4">
+<h4 class="unnumbered" id="clevels">clevels<a class="anchor" aria-label="anchor" href="#clevels"></a>
+</h4>
+<p>Not fully operational yet, to be actived in 2025. Numeric vector
+(default = c(30, 150)) with length 2 to indicate cadence ranges used
+when summarising step counts, if available. When set to NULL, step
+counts will not be summarised in part 5 output.</p>
+</div>
 </div>
 <div class="section level3">
 <h3 id="output-parameters">Output Parameters<a class="anchor" aria-label="anchor" href="#output-parameters"></a>
@@ -2788,32 +2880,32 @@ <h4 class="unnumbered" id="timewindow">timewindow<a class="anchor" aria-label="a
 <h4 class="unnumbered" id="viewingwindow">viewingwindow<a class="anchor" aria-label="anchor" href="#viewingwindow"></a>
 </h4>
 <p>Numeric (default = 1). Centre the day as displayed around noon
-(viewingwindow = 1) or around midnight (viewingwindow = 2) in the visual
-report generated with visualreport = TRUE.</p>
+(viewingwindow = 1) or around midnight (viewingwindow = 2) in the
+“Report_” visual report generated with visualreport = TRUE.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="dofirstpage">dofirstpage<a class="anchor" aria-label="anchor" href="#dofirstpage"></a>
 </h4>
 <p>Boolean (default = TRUE). To indicate whether a first page with
 histograms summarizing the whole measurement should be added in the file
-summary reports generated with visualreport = TRUE.</p>
+summary reports named “Report_” generated with visualreport = TRUE.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="visualreport">visualreport<a class="anchor" aria-label="anchor" href="#visualreport"></a>
 </h4>
-<p>Boolean (default = TRUE). If TRUE, then generate visual report based
-on combined output from g.part2 and g.part4. Please note that the visual
-report was initially developed to provide something to show to study
-participants and not for data quality checking purposes. Over time we
-have improved the visual report to also be useful for QC-ing the data.
-However, some of the scorings as shown in the visual report are created
-for the visual report only and may not reflect the scorings in the main
-GGIR analyses as reported in the quantitative csv-reports. Most of our
-effort in the past 10 years has gone into making sure that the
-csv-report are correct, while the visualreport has mostly been a side
-project. This is unfortunate and we hope to find funding in the future
-to design a new report specifically for the purpose of QC-ing the
-analyses done by GGIR.</p>
+<p>Boolean (default = TRUE). If TRUE, store two visualreports in
+outputfolder ‘results/file summary reports’ with names starting with
+“Report_…” and “Time_report…”. The report “Report_…” has been in GGIR
+for years and is based on combined output GGIR part 2 and 4. It was
+initially only a quick development attempt to have something to show to
+study participants. This report is not designed for data quality
+checking purposes as it makes not attempt to exactly visualise the
+classifications made in part 5. Given the number of inaccuracies this
+report will eventually be deprecated from GGIR. To turn off the old
+report use old_visualreport = FALSE. “Time_report”, is a new report as
+of GGIR 3.1-8 and is specifically aimed at supporting data quality
+checks as it shows the time series data as generated and used in GGIR
+part 5. .</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="week_weekend_aggregate-part5">week_weekend_aggregate.part5<a class="anchor" aria-label="anchor" href="#week_weekend_aggregate-part5"></a>
@@ -2835,8 +2927,8 @@ <h4 class="unnumbered" id="outliers-only">outliers.only<a class="anchor" aria-la
 <p>Boolean (default = FALSE). In g.part4: Only used if do.visual = TRUE.
 If FALSE, all available nights are included in the visual representation
 of the data and sleeplog. If TRUE, then only nights with a difference in
-onset or waking time larger than the variable of argument criterror will
-be included.</p>
+onset or waking time larger than the variable of parameter criterror
+will be included.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="criterror">criterror<a class="anchor" aria-label="anchor" href="#criterror"></a>
@@ -2863,7 +2955,7 @@ <h4 class="unnumbered" id="do-sibreport">do.sibreport<a class="anchor" aria-labe
 and when an advanced sleep diary is available in part 4 then part 5 will
 use this to generate summary statistics on the overlap between
 self-reported nonwear and napping with SIB. Here, SIB can be filter
-based on argument possible_nap_edge_acc and the first value of
+based on parameter possible_nap_edge_acc and the first value of
 possible_nap_dur</p>
 </div>
 <div class="section level4">
@@ -2875,34 +2967,64 @@ <h4 class="unnumbered" id="do-part2-pdf">do.part2.pdf<a class="anchor" aria-labe
 <div class="section level4">
 <h4 class="unnumbered" id="sep_reports">sep_reports<a class="anchor" aria-label="anchor" href="#sep_reports"></a>
 </h4>
-<p>Character (default = “,”). Value used as sep argument in
+<p>Character (default = “,”). Value used as sep parameter in
 [data.table]fwrite for writing csv reports.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="sep_config">sep_config<a class="anchor" aria-label="anchor" href="#sep_config"></a>
 </h4>
-<p>Character (default = “,”). Value used as sep argument in
+<p>Character (default = “,”). Value used as sep parameter in
 [data.table]fwrite for writing csv config file.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="dec_reports">dec_reports<a class="anchor" aria-label="anchor" href="#dec_reports"></a>
 </h4>
-<p>Character (default = “.”). Value used as dec argument in
+<p>Character (default = “.”). Value used as dec parameter in
 [data.table]fwrite for writing csv reports.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="dec_config">dec_config<a class="anchor" aria-label="anchor" href="#dec_config"></a>
 </h4>
-<p>Character (default = “.”). Value used as dec argument in
+<p>Character (default = “.”). Value used as dec parameter in
 [data.table]fwrite for writing csv config file.</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="visualreport_without_invalid">visualreport_without_invalid<a class="anchor" aria-label="anchor" href="#visualreport_without_invalid"></a>
 </h4>
 <p>Boolean (default = TRUE). If TRUE, then reports generated with
-visualreport = TRUE only show the windows with sufficiently valid data
-according to includedaycrit when viewingwindow = 1 or includenightcrit
-when viewingwindow = 2</p>
+visualreport = TRUE named “Report_” only show the windows with
+sufficiently valid data according to includedaycrit when viewingwindow =
+1 or includenightcrit when viewingwindow = 2</p>
+</div>
+<div class="section level4">
+<h4 class="unnumbered" id="old_visualreport">old_visualreport<a class="anchor" aria-label="anchor" href="#old_visualreport"></a>
+</h4>
+<p>Boolean (default = TRUE). If TRUE, then generate old visual report in
+addition to new visualreport. The old visualreport will eventually be
+deprecated</p>
+</div>
+<div class="section level4">
+<h4 class="unnumbered" id="visualreport_hrsperrow">visualreport_hrsPerRow<a class="anchor" aria-label="anchor" href="#visualreport_hrsperrow"></a>
+</h4>
+<p>Numeric (default = 36). Width of the plots in the new visualreport
+(named “Time_report…”) expressed in hours. Expected to be in the range
+24-48. If more than 24 then the extra time overlaps with the beginning
+of the next plot.</p>
+</div>
+<div class="section level4">
+<h4 class="unnumbered" id="visualreport_focus">visualreport_focus<a class="anchor" aria-label="anchor" href="#visualreport_focus"></a>
+</h4>
+<p>Character (default = “day”) Whether new visual report (names start
+with “Time_report…”) focuss on day or night. If set ot “night” the focus
+will be on the night.</p>
+</div>
+<div class="section level4">
+<h4 class="unnumbered" id="visualreport_validcrit">visualreport_validcrit<a class="anchor" aria-label="anchor" href="#visualreport_validcrit"></a>
+</h4>
+<p>Numeric (default = 0). Value between 0 and 1 representing the
+fraction of data in a plot that is expected to be valid. If this
+criteria is not met the row is skipped. Only used in new visual report
+(names start with “Time_report…”).</p>
 </div>
 <div class="section level4">
 <h4 class="unnumbered" id="require_complete_lastnight_part5">require_complete_lastnight_part5<a class="anchor" aria-label="anchor" href="#require_complete_lastnight_part5"></a>
@@ -2914,6 +3036,14 @@ <h4 class="unnumbered" id="require_complete_lastnight_part5">require_complete_la
 and starts on a date that is on or one day before the recording end
 date. This to avoid risk that recording end biases the sleep estimates
 for the last night.</p>
+</div>
+<div class="section level4">
+<h4 class="unnumbered" id="method_research_vars">method_research_vars<a class="anchor" aria-label="anchor" href="#method_research_vars"></a>
+</h4>
+<p>Character (default = NULL). Vector with names of methodological
+variable categories to store in the csv output files. Currently on “nap”
+is available which affects the part5 output. The variables are intended
+for methodological research only and are by default turned off.</p>
 <p><img src="GGIR-MASTERLOGO-RGB.png" alt="GGIR logo" width="60%" style="border: 0; padding:20px"></p>
 </div>
 </div>
diff --git a/docs/articles/GGIRoutput.html b/docs/articles/GGIRoutput.html
index caf51fca9..42ce168ed 100644
--- a/docs/articles/GGIRoutput.html
+++ b/docs/articles/GGIRoutput.html
@@ -8,8 +8,8 @@
 <title>GGIR output • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="GGIR output">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -218,6 +218,18 @@ <h3 id="person-level-summary-csv">Person level summary (csv)<a class="anchor" ar
 duration is 7 days</td>
 </tr>
 <tr class="even">
+<td>nonwear_hours_filtered</td>
+<td>Total number of nonwear hours filtered, only stored when using
+parameter <code>nonwearFiltermaxHours</code>
+</td>
+</tr>
+<tr class="odd">
+<td>nonwear_events_filtered</td>
+<td>Total number of nonwear events filtered, only stored when using
+parameter <code>nonwearFiltermaxHours</code>
+</td>
+</tr>
+<tr class="even">
 <td>calib_err</td>
 <td>Calibration error (static estimate) Estimated based on all
 ‘non-movement’ periods in the measurement after applying the
@@ -229,6 +241,109 @@ <h3 id="person-level-summary-csv">Person level summary (csv)<a class="anchor" ar
 calibration error minimisation</td>
 </tr>
 <tr class="even">
+<td>n hours ignored at start of meas (if data_masking_strategy=1, 3 or
+5)</td>
+<td>number of hours ignored at the start of the measurement (if
+data_masking_strategy = 1) or at the start of the
+<code>ndayswindow</code> (if data_masking_strategy = 3 or 5) A log of
+decision made in part2.R</td>
+</tr>
+<tr class="odd">
+<td>n hours ignored at end of meas (if data_masking_strategy=1, 3 or
+5)</td>
+<td>number of hours ignored at the end of the measurement (if
+data_masking_strategy = 1) or at the end of the <code>ndayswindow</code>
+(if data_masking_strategy = 3 or 5). A log of decision made in
+part2.R</td>
+</tr>
+<tr class="even">
+<td>n days of measurement after which all data is ignored (if
+data_masking_strategy=1)</td>
+<td>number of days of measurement after which all data is ignored (if
+data_masking_strategy = 1, 3 or 5) A log of decision made in
+part2.R</td>
+</tr>
+<tr class="odd">
+<td>epoch size to which acceleration was averaged (seconds)</td>
+<td>A log of decision made in part1.R</td>
+</tr>
+<tr class="even">
+<td>pdffilenumb</td>
+<td>Indicator of in which pdf-file the plot was stored</td>
+</tr>
+<tr class="odd">
+<td>pdfpagecount</td>
+<td>Indicator of in which pdf-page the plot was stored</td>
+</tr>
+<tr class="even">
+<td>data_masking_strategy</td>
+<td>A log of the decision made when calling g.impute: value=1 mean
+ignore specific hours; value=2 mean ignore all data before the first
+midnight and after the last midnight</td>
+</tr>
+</tbody>
+</table>
+<div class="section level4">
+<h4 id="letter-codes-to-indicate-aggregation-type">Letter codes to indicate aggregation type<a class="anchor" aria-label="anchor" href="#letter-codes-to-indicate-aggregation-type"></a>
+</h4>
+<table class="table">
+<colgroup>
+<col width="36%">
+<col width="63%">
+</colgroup>
+<thead><tr class="header">
+<th>(Part of) variable name</th>
+<th>Description</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td><code>AD_</code></td>
+<td>All days (plain average of all available days, no weighting). The
+variable was calculated per day and then averaged over all the available
+days</td>
+</tr>
+<tr class="even">
+<td><code>WE_</code></td>
+<td>Weekend days (plain average of all available days, no weighting).
+The variable was calculated per day and then averaged over weekend days
+only</td>
+</tr>
+<tr class="odd">
+<td><code>WD_</code></td>
+<td>Week days (plain average of all available days, no weighting). The
+variable was calculated per day and then averaged over week days
+only</td>
+</tr>
+<tr class="even">
+<td><code>WWE_</code></td>
+<td>Weekend days (weighted average) The variable was calculated per day
+and then averaged over weekend days. Double weekend days are averaged.
+This is only relevant for experiments that last for more than seven
+days.</td>
+</tr>
+<tr class="odd">
+<td><code>WWD_</code></td>
+<td>Week days (weighted average) The variable was calculated per day and
+then averaged over week days. Double week days were averaged. This is
+only relevant for experiments that last for more than seven days)</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="section level4">
+<h4 id="distribution-of-acceleration">Distribution of acceleration<a class="anchor" aria-label="anchor" href="#distribution-of-acceleration"></a>
+</h4>
+<table class="table">
+<colgroup>
+<col width="36%">
+<col width="63%">
+</colgroup>
+<thead><tr class="header">
+<th>(Part of) variable name</th>
+<th>Description</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
 <td>ENMO_fullRecordingMean</td>
 <td>ENMO is the main summary measure of acceleration. The value
 presented is the average ENMO over all the available data normalised per
@@ -240,7 +355,7 @@ <h3 id="person-level-summary-csv">Person level summary (csv)<a class="anchor" ar
 calculated overmeasurement days with sufficient valid hours of
 data.</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>ENMO</td>
 <td>(only available if set to true in part1.R) ENMO is the main summary
 measure of acceleration. The value presented is the average ENMO over
@@ -251,64 +366,111 @@ <h3 id="person-level-summary-csv">Person level summary (csv)<a class="anchor" ar
 Hees PLoSONE April 2013</a> for a detailed description and comparison of
 these techniques.</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>pX_A_mg_0-24h_fullRecording</td>
 <td>This variable represents the Xth percentile in the distribution of
 short epoch metric value A of the average day. The average day may not
 be ideal for describing the distribution. Therefore, the code also
 extracts the following variable.</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>AD_pX_A_mg_0-24h</td>
 <td>This variable represents the Xth percentile in the distribution of
 short epoch metric value A per day averaged across all days.</td>
 </tr>
+<tr class="odd">
+<td>WWD_MVPA_E5S_T100_ENMO</td>
+<td>Time spent in moderate-to-vigorous based on 5 second epoch size and
+an ENMO metric threshold of 100</td>
+</tr>
 <tr class="even">
+<td><code>WWE_MVPA_E5S_B1M80%_T100_ENMO</code></td>
+<td>Time spent in moderate-to-vigorous based on a bout criteria of at
+least 1 minute where 80% or more of the 5 second epochs are expected to
+meet the threshold criteria of of 100 mg based on acceleration metric
+ENMO (threshold is specified with parameter
+<code>mvpathreshold</code>)</td>
+</tr>
+<tr class="odd">
+<td><code>WE_[100, 150)_mg_0-24h_ENMO</code></td>
+<td>Time spent between (and including) 100 mg and 150 (excluding 150
+itself) between 0 and 24 hours (the full day) using metric ENMO data
+exclusion data_masking_strategy (value=1, ignore specific hours;
+value=2, ignore all data before the first midnight and after the last
+midnight)</td>
+</tr>
+<tr class="even">
+<td><code>_MVPA_E5S_B1M80_T100</code></td>
+<td>MVPA calculated based on 5 second epoch setting bout duration 1
+Minute and inclusion criterion of more than 80 percent.</td>
+</tr>
+<tr class="odd">
+<td><code>_ENMO_mg</code></td>
+<td>ENMO or other metric was first calculated per day and then average
+according to AD, WD, WWE, WWD</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="section level4">
+<h4 id="circadian-rhythm-mxlx-iv-and-is">Circadian rhythm: MXLX, IV, and IS<a class="anchor" aria-label="anchor" href="#circadian-rhythm-mxlx-iv-and-is"></a>
+</h4>
+<table class="table">
+<colgroup>
+<col width="36%">
+<col width="63%">
+</colgroup>
+<thead><tr class="header">
+<th>(Part of) variable name</th>
+<th>Description</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
 <td>L5_A_mg_0-24</td>
 <td>Average of metric A during the least active five* hours in the day
 that is the lowest rolling average value of metric A. (* window size is
 modifiable by argument <code>winhr</code>)</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>M5_A_mg_0-24</td>
 <td>Average of metric A during the most active five* hours in the day
 that is the lowest rolling average value of metric A. (* window size is
 modifiable by argument <code>winhr</code>)</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>L5hr_A_mg_0-24</td>
 <td>Starting time in hours and fractions of hours of L5_A_mg_0-24, where
 hours below 12 are incremented with 24 to create a continuous scale
 throughout the night (e.g. 36 = 6am) in line with numeric timeing of
 sleep variables in GGIR part 4 output.</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>M5hr_A_mg_0-24</td>
 <td>Starting time in hours and fractions of hours of M5_A_mg_0-24</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>ig_gradient_ENMO_0 -24hr_fullRecording</td>
 <td>Intensity gradient calculated over the full recording.</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>1to6am_ENMO_mg</td>
 <td>Average metric value ENMO between 1am and 6am</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>N valid WEdays</td>
 <td>Number of valid weekend days</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>N valid WKdays</td>
 <td>Number of valid week days</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>IS</td>
 <td>inter daily stability. The movement count that is derived for this
 was an attempt to follow the original approach by Eus J. W. Van Someren
 (Chronobiology International. 1999. Volume 16, issue 4).</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>IV</td>
 <td>intra daily variability. In contrast to the original paper, we
 ignore the epoch transitions between the end of a day and the beginning
@@ -317,118 +479,48 @@ <h3 id="person-level-summary-csv">Person level summary (csv)<a class="anchor" ar
 movement count that is derived for this was an attempt to follow the
 original approach.</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>IVIS_windowsize_minutes</td>
 <td>Sizes of the windows based on which IV and IS are calculated (note
 that this is modifiable)</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>IVIS_epochsize_seconds</td>
 <td>Argument has been deprecated</td>
 </tr>
-<tr class="even">
-<td><code>AD_</code></td>
-<td>All days (plain average of all available days, no weighting). The
-variable was calculated per day and then averaged over all the available
-days</td>
-</tr>
 <tr class="odd">
-<td><code>WE_</code></td>
-<td>Weekend days (plain average of all available days, no weighting).
-The variable was calculated per day and then averaged over weekend days
-only</td>
-</tr>
-<tr class="even">
-<td><code>WD_</code></td>
-<td>Week days (plain average of all available days, no weighting). The
-variable was calculated per day and then averaged over week days
-only</td>
-</tr>
-<tr class="odd">
-<td><code>WWE_</code></td>
-<td>Weekend days (weighted average) The variable was calculated per day
-and then averaged over weekend days. Double weekend days are averaged.
-This is only relevant for experiments that last for more than seven
-days.</td>
-</tr>
-<tr class="even">
-<td><code>WWD_</code></td>
-<td>Week days (weighted average) The variable was calculated per day and
-then averaged over week days. Double week days were averaged. This is
-only relevant for experiments that last for more than seven days)</td>
-</tr>
-<tr class="odd">
-<td>WWD_MVPA_E5S_T100_ENMO</td>
-<td>Time spent in moderate-to-vigorous based on 5 second epoch size and
-an ENMO metric threshold of 100</td>
-</tr>
-<tr class="even">
-<td><code>WWE_MVPA_E5S_B1M80%_T100_ENMO</code></td>
-<td>Time spent in moderate-to-vigorous based on a bout criteria of at
-least 1 minute where 80% or more of the 5 second epochs are expected to
-meet the threshold criteria of of 100 mg based on acceleration metric
-ENMO (threshold is specified with parameter
-<code>mvpathreshold</code>)</td>
-</tr>
-<tr class="odd">
-<td><code>WE_[100, 150)_mg_0-24h_ENMO</code></td>
-<td>Time spent between (and including) 100 mg and 150 (excluding 150
-itself) between 0 and 24 hours (the full day) using metric ENMO data
-exclusion data_masking_strategy (value=1, ignore specific hours;
-value=2, ignore all data before the first midnight and after the last
-midnight)</td>
-</tr>
-<tr class="even">
-<td><code>_MVPA_E5S_B1M80_T100</code></td>
-<td>MVPA calculated based on 5 second epoch setting bout duration 1
-Minute and inclusion criterion of more than 80 percent.</td>
-</tr>
-<tr class="odd">
-<td><code>_ENMO_mg</code></td>
-<td>ENMO or other metric was first calculated per day and then average
-according to AD, WD, WWE, WWD</td>
-</tr>
-<tr class="even">
-<td>data exclusion data_masking_strategy</td>
-<td>A log of the decision made when calling g.impute: value=1 mean
-ignore specific hours; value=2 mean ignore all data before the first
-midnight and after the last midnight</td>
-</tr>
-<tr class="odd">
-<td>n hours ignored at start of meas (if data_masking_strategy=1, 3 or
-5)</td>
-<td>number of hours ignored at the start of the measurement (if
-data_masking_strategy = 1) or at the start of the
-<code>ndayswindow</code> (if data_masking_strategy = 3 or 5) A log of
-decision made in part2.R</td>
-</tr>
-<tr class="even">
-<td>n hours ignored at end of meas (if data_masking_strategy=1, 3 or
-5)</td>
-<td>number of hours ignored at the end of the measurement (if
-data_masking_strategy = 1) or at the end of the <code>ndayswindow</code>
-(if data_masking_strategy = 3 or 5). A log of decision made in
-part2.R</td>
-</tr>
-<tr class="odd">
-<td>n hours ignored at end of meas (if data_masking_strategy = 1, 3 or
-5)</td>
-<td>number of days of measurement after which all data is ignored (if
-data_masking_strategy = 1, 3 or 5) A log of decision made in
-part2.R</td>
+<td>phi</td>
+<td>Indicator of auto-correlation in acceleration time series over
+multiple days, see <a href="https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html">chapter
+13</a> for details.</td>
 </tr>
 <tr class="even">
-<td>epoch size to which acceleration was averaged (seconds)</td>
-<td>A log of decision made in part1.R</td>
+<td>SSP</td>
+<td>Method for describing time series, see <a href="https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html">chapter
+13</a> for details.</td>
 </tr>
 <tr class="odd">
-<td>pdffilenumb</td>
-<td>Indicator of in which pdf-file the plot was stored</td>
-</tr>
-<tr class="even">
-<td>pdfpagecount</td>
-<td>Indicator of in which pdf-page the plot was stored</td>
+<td>ABI</td>
+<td>ABI measures how the activity over the observed period is balanced,
+see <a href="https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html">chapter
+13</a> for details.</td>
 </tr>
+</tbody>
+</table>
+</div>
+<div class="section level4">
+<h4 id="circadian-rhythm-cosinor">Circadian rhythm: Cosinor<a class="anchor" aria-label="anchor" href="#circadian-rhythm-cosinor"></a>
+</h4>
+<table class="table">
+<colgroup>
+<col width="36%">
+<col width="63%">
+</colgroup>
+<thead><tr class="header">
+<th>(Part of) variable name</th>
+<th>Description</th>
+</tr></thead>
+<tbody>
 <tr class="odd">
 <td><code>cosinor_</code></td>
 <td>Cosinor analysis estimates such as mes, amp, acrophase, and
@@ -551,26 +643,10 @@ <h3 id="person-level-summary-csv">Person level summary (csv)<a class="anchor" ar
 log transformed acceleration signal. Higher values indicate better
 goodness of fit.</td>
 </tr>
-<tr class="odd">
-<td>phi</td>
-<td>Indicator of auto-correlation in acceleration time series over
-multiple days, see <a href="https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html">chapter
-13</a> for details.</td>
-</tr>
-<tr class="even">
-<td>SSP</td>
-<td>Method for describing time series, see <a href="https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html">chapter
-13</a> for details.</td>
-</tr>
-<tr class="odd">
-<td>ABI</td>
-<td>ABI measures how the activity over the observed period is balanced,
-see <a href="https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html">chapter
-13</a> for details.</td>
-</tr>
 </tbody>
 </table>
 </div>
+</div>
 <div class="section level3">
 <h3 id="day-level-summary-csv">Day level summary (csv)<a class="anchor" aria-label="anchor" href="#day-level-summary-csv"></a>
 </h3>
@@ -1372,106 +1448,116 @@ <h3 id="day-level-summary-csv-1">Day level summary (csv)<a class="anchor" aria-l
 window. The conventional approach is the approach used in part 4.</td>
 </tr>
 <tr class="odd">
-<td>L5TIME</td>
-<td>Timing of least active 5hrs, expressed as timestamp in the day</td>
-</tr>
-<tr class="even">
-<td>M5TIME</td>
-<td>Timing of most active 5hrs</td>
-</tr>
-<tr class="odd">
-<td>L5TIME_num, M5TIME_num</td>
-<td>Timing of least/most active 5hrs, expressed as hours in the day.
-Note that L5/M5 timing variables are difficult to average across days
-because 23:00 and 1:00 would average to noon and not to midnight. So,
-caution is needed when interpreting person averages.</td>
-</tr>
-<tr class="even">
-<td>L5VALUE</td>
-<td>Acceleration value for least active 5hrs</td>
-</tr>
-<tr class="odd">
-<td>M5VALUE</td>
-<td>Acceleration value for most active 5hrs</td>
-</tr>
-<tr class="even">
 <td><code>ig_</code></td>
 <td>All variables related to intensity gradient analysis</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td><code>_gradient</code></td>
 <td>Gradient from intensity gradient analysis proposed by <a href="https://journals.lww.com/acsm-msse/Fulltext/2018/06000/Beyond_Cut_%20Points__Accelerometer_Metrics_that.25.aspx" class="external-link">Rowlands
 et al. 2018</a> for the waking hours window (<code>_day_</code>) and for
 the full window (<code>_day_spt_</code>)</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td><code>_intercept</code></td>
 <td>Intercept from intensity gradient analysis proposed by <a href="https://journals.lww.com/acsm-msse/Fulltext/2018/06000/Beyond_Cut_%20Points__Accelerometer_Metrics_that.25.aspx" class="external-link">Rowlands
 et al. 2018</a> for the waking hours window (<code>_day_</code>) and for
 the full window (<code>_day_spt_</code>)</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td><code>_rsquared</code></td>
 <td>r squared from intensity gradient analysis proposed by <a href="https://journals.lww.com/acsm-msse/Fulltext/2018/06000/Beyond_Cut_%20Points__Accelerometer_Metrics_that.25.aspx" class="external-link">Rowlands
 et al. 2018</a> for the waking hours window (<code>_day_</code>) and for
 the full window (<code>_day_spt_</code>)</td>
 </tr>
-<tr class="even">
+</tbody>
+</table>
+<div class="section level4">
+<h4 id="fragmentation">Fragmentation<a class="anchor" aria-label="anchor" href="#fragmentation"></a>
+</h4>
+<table class="table">
+<colgroup>
+<col width="36%">
+<col width="63%">
+</colgroup>
+<thead><tr class="header">
+<th>(Term in) variable name</th>
+<th>Description</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
 <td><code>FRAG_</code></td>
 <td>All variables related to behavioural fragmentation analysis</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td><code>TP_</code></td>
 <td>Transition probability</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>PA2IN</td>
 <td>Physical activity fragments followed by inactivity fragments</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>IN2PA</td>
 <td>Physical inactivity fragments followed by activity fragments</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>Nfrag</td>
 <td>Number of fragments</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td>IN2LIPA</td>
 <td>Inactivity fragments followed by LIPA</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>IN2MVPA</td>
 <td>Inactivity fragments followed by MVPA</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td><code>mean_dur</code></td>
 <td>mean duration of a fragment category</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td><code>Gini_dur</code></td>
 <td>Gini index</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td><code>CoV_dur</code></td>
 <td>Coefficient of Variation</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td>alpha</td>
 <td>Power law exponent</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td><code>x0.5</code></td>
 <td>Derived from power law exponent alpha, see <a href="https://doi.org/10.1016/j.gaitpost.2009.09.002" class="external-link">Chastin et al. 201
 0</a>
 </td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td><code>W0.5</code></td>
 <td>Derived from power law exponent alpha, see <a href="https://doi.org/10.1016/j.gaitpost.2009.09.002" class="external-link">Chastin et al. 201
 0</a>
 </td>
 </tr>
+</tbody>
+</table>
+</div>
+<div class="section level4">
+<h4 id="old-napping-behaviour-variables-to-be-deprecated">Old napping behaviour variables (to be deprecated)<a class="anchor" aria-label="anchor" href="#old-napping-behaviour-variables-to-be-deprecated"></a>
+</h4>
+<p>These variables will be deprecated as napping, if detection is turned
+on, is now a behavioural category just like all other behaviours.</p>
+<table class="table">
+<colgroup>
+<col width="36%">
+<col width="63%">
+</colgroup>
+<thead><tr class="header">
+<th>(Term in) variable name</th>
+<th>Description</th>
+</tr></thead>
+<tbody>
 <tr class="odd">
 <td>nap_count</td>
 <td>Total number of naps, only calculated when argument do.sibreport =
@@ -1497,16 +1583,16 @@ <h3 id="day-level-summary-csv-1">Day level summary (csv)<a class="anchor" aria-l
 the sibreport for this specific day</td>
 </tr>
 <tr class="odd">
-<td>nbouts_day_X</td>
+<td>nbouts_X</td>
 <td>Only created if <code>do.sibreport = TRUE</code>. Number of bouts in
-a day of X where X can be sib (sustained inactivity bout), srnap
-(self-reported nap) or srnonw (self-reported nonwear)</td>
+a day of X where X can be a detected nap (denap), srnap (self-reported
+nap) or srnonw (self-reported nonwear)</td>
 </tr>
 <tr class="even">
 <td>noverl_X</td>
 <td>Only created if <code>do.sibreport = TRUE</code>. Number of
-overlapping bouts in a day of X where X can be sib_srnap, sib_srnonw,
-srnap_sib, or srnonw_sib</td>
+overlapping bouts in a day of X where X can be denap_srnap,
+denap_srnonw, srnap_denap, or srnonw_denap</td>
 </tr>
 <tr class="odd">
 <td>frag_mean_dur_X_day</td>
@@ -1514,26 +1600,27 @@ <h3 id="day-level-summary-csv-1">Day level summary (csv)<a class="anchor" aria-l
 per day, where X can be sib, srnap or srnonw</td>
 </tr>
 <tr class="even">
-<td>dur_day_X_min</td>
+<td>dur_X_min</td>
 <td>Only created if <code>do.sibreport = TRUE</code>. Total duration in
-minutes of X per day, where X can be sib, srnap or srnonw</td>
+minutes of X per day, where X can be detect nap (denap), srnap or
+srnonw</td>
 </tr>
 <tr class="odd">
 <td>mdur_X_overl_Y</td>
 <td>Only created if <code>do.sibreport = TRUE</code>. Mean duration of
-the overlap between X and Y, which are combinations of sib, srnap or
+the overlap between X and Y, which are combinations of denap, srnap or
 srnonw</td>
 </tr>
 <tr class="even">
 <td>tdur_X_overl_Y</td>
 <td>Only created if <code>do.sibreport = TRUE</code>. Total duration in
-minutes of the overlap between X and Y, which are combinations of sib,
+minutes of the overlap between X and Y, which are combinations of denap,
 srnap or srnonw</td>
 </tr>
 <tr class="odd">
 <td>perc_X_overl_Y</td>
 <td>Only created if <code>do.sibreport = TRUE</code>. Percentage of
-overlap between X and Y, which are combinations of sib, srnap or
+overlap between X and Y, which are combinations of denap, srnap or
 srnonw</td>
 </tr>
 </tbody>
@@ -1555,6 +1642,7 @@ <h3 id="day-level-summary-csv-1">Day level summary (csv)<a class="anchor" aria-l
 <code>boutcriter.mvpa</code>, <code>boutcriter.in</code>, and
 <code>boutcriter.lig</code>.</p>
 </div>
+</div>
 <div class="section level3">
 <h3 id="person-level-summary-csv-1">Person level summary (csv)<a class="anchor" aria-label="anchor" href="#person-level-summary-csv-1"></a>
 </h3>
@@ -1615,6 +1703,49 @@ <h3 id="person-level-summary-csv-1">Person level summary (csv)<a class="anchor"
 </tbody>
 </table>
 </div>
+</div>
+<div class="section level2">
+<h2 id="ggir-part-6">GGIR Part 6<a class="anchor" aria-label="anchor" href="#ggir-part-6"></a>
+</h2>
+<p>Part 6 only stores a person level summary (csv). Most column names
+overlap with part 5, but are now derived based on the for the full time
+series only, whereas part 5 only presents these variables per day window
+which is then aggregated at person level.</p>
+<table class="table">
+<colgroup>
+<col width="36%">
+<col width="63%">
+</colgroup>
+<thead><tr class="header">
+<th>Variable name</th>
+<th>Description</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td>L5TIME</td>
+<td>Timing of least active 5hrs, expressed as timestamp in the day</td>
+</tr>
+<tr class="even">
+<td>M5TIME</td>
+<td>Timing of most active 5hrs</td>
+</tr>
+<tr class="odd">
+<td>L5TIME_num, M5TIME_num</td>
+<td>Timing of least/most active 5hrs, expressed as hours in the day.
+Note that L5/M5 timing variables are difficult to average across days
+because 23:00 and 1:00 would average to noon and not to midnight. So,
+caution is needed when interpreting person averages.</td>
+</tr>
+<tr class="even">
+<td>L5VALUE</td>
+<td>Acceleration value for least active 5hrs</td>
+</tr>
+<tr class="odd">
+<td>M5VALUE</td>
+<td>Acceleration value for most active 5hrs</td>
+</tr>
+</tbody>
+</table>
 </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
diff --git a/docs/articles/HouseHoldCoanalysis.html b/docs/articles/HouseHoldCoanalysis.html
index 6f79fef25..8af31452c 100644
--- a/docs/articles/HouseHoldCoanalysis.html
+++ b/docs/articles/HouseHoldCoanalysis.html
@@ -8,8 +8,8 @@
 <title>Household Co-Analysis • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Household Co-Analysis">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/TutorialDaySegmentAnalyses.html b/docs/articles/TutorialDaySegmentAnalyses.html
index c5cafb756..e150c4b47 100644
--- a/docs/articles/TutorialDaySegmentAnalyses.html
+++ b/docs/articles/TutorialDaySegmentAnalyses.html
@@ -8,8 +8,8 @@
 <title>Day segment analyses with GGIR • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Day segment analyses with GGIR">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter0_Contributing.html b/docs/articles/chapter0_Contributing.html
index ffcc727ea..631acdac2 100644
--- a/docs/articles/chapter0_Contributing.html
+++ b/docs/articles/chapter0_Contributing.html
@@ -8,8 +8,8 @@
 <title>Contributing • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Contributing">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter0_GetStarted.html b/docs/articles/chapter0_GetStarted.html
index 9f696b8e5..52258d027 100644
--- a/docs/articles/chapter0_GetStarted.html
+++ b/docs/articles/chapter0_GetStarted.html
@@ -8,8 +8,8 @@
 <title>Get started: the GGIR R package • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get started: the GGIR R package">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter0_Installation.html b/docs/articles/chapter0_Installation.html
index c7c9f5a1a..bad5e6d82 100644
--- a/docs/articles/chapter0_Installation.html
+++ b/docs/articles/chapter0_Installation.html
@@ -8,8 +8,8 @@
 <title>Installation of the GGIR R Package • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Installation of the GGIR R Package">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter0_Support.html b/docs/articles/chapter0_Support.html
index b1c0546da..20bfb90eb 100644
--- a/docs/articles/chapter0_Support.html
+++ b/docs/articles/chapter0_Support.html
@@ -8,8 +8,8 @@
 <title>How can I get service and support? • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="How can I get service and support?">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter10_SleepAnalysis.html b/docs/articles/chapter10_SleepAnalysis.html
index 53405487b..7a9e8916b 100644
--- a/docs/articles/chapter10_SleepAnalysis.html
+++ b/docs/articles/chapter10_SleepAnalysis.html
@@ -8,8 +8,8 @@
 <title>10. Sleep Analysis • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="10. Sleep Analysis">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -148,6 +148,14 @@ <h3 id="sleep-period-time-spt-window-or-time-in-bed">Sleep Period Time (SPT) win
 <p>If you use as guider a sleeplog that reflects the Time in Bed you
 will need to set parameter <code>sleepwindowType = "TimeInBed"</code> to
 tell GGIR to follow scenario 2.</p>
+<p>However, there is parameter
+<code>sib_must_fully_overlap_with_TimeInBed</code> to suprres the
+requirement of <code>sleepwindowType = "TimeInBed"</code> that any SIB
+fully overlaps with “TimeInBed”. For example, if you want SIB to only be
+counted as sleep if they fully overlap with TimeInBed but prefer to rely
+on SIB to define the end of the night regardless of overlap with
+TimeInBed set
+<code>sib_must_fully_overlap_with_TimeInBed = c(TRUE, FALSE)</code>.</p>
 </div>
 <div class="section level3">
 <h3 id="quality-assurance">Quality assurance<a class="anchor" aria-label="anchor" href="#quality-assurance"></a>
diff --git a/docs/articles/chapter11_DescribingDataCutPoints.html b/docs/articles/chapter11_DescribingDataCutPoints.html
index 7562108bf..701b3c096 100644
--- a/docs/articles/chapter11_DescribingDataCutPoints.html
+++ b/docs/articles/chapter11_DescribingDataCutPoints.html
@@ -8,8 +8,8 @@
 <title>11. Physical Activity Fundamentals: Describing the data with cut-points • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="11. Physical Activity Fundamentals: Describing the data with cut-points">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter12_TimeUseAnalysis.html b/docs/articles/chapter12_TimeUseAnalysis.html
index 44baec6dd..895743f53 100644
--- a/docs/articles/chapter12_TimeUseAnalysis.html
+++ b/docs/articles/chapter12_TimeUseAnalysis.html
@@ -8,8 +8,8 @@
 <title>12. Time-use Analysis • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="12. Time-use Analysis">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -236,6 +236,13 @@ <h2 id="metrics-calculated-per-window-and-per-segment">Metrics calculated per wi
 the fragmentation of LIPA and MVPA combined relative to Inactive
 time.</li>
 </ul>
+<p>On a side note - If you multiply Acceleration by Duration for a given
+class, and by that combine the information from both variables, you
+would arrive at a volume measure of behaviour. This is similar to the
+construct of calories over time. I think this would be a much richer way
+of describing the data as opposed to the conventional approach that only
+looks at either time spent per behavioural class or average acceleration
+in an entire day.</p>
 <div class="section level3">
 <h3 id="complementary-variables">Complementary variables<a class="anchor" aria-label="anchor" href="#complementary-variables"></a>
 </h3>
@@ -364,27 +371,24 @@ <h3 id="exporting-time-series">Exporting time series<a class="anchor" aria-label
 classes as reported in the part 5 report.</td>
 </tr>
 <tr class="even">
-<td>invalid_fullwindow</td>
-<td>Percentage of the window (see above) that represents invalid data,
-included to ease filtering the timeseries based on whether windows are
-valid or not.</td>
+<td>sibdetection</td>
+<td>1 if sustained inactivity bout was detect, 2 if nap was
+detected</td>
 </tr>
 <tr class="odd">
-<td>invalid_sleepperiod</td>
-<td>Percentage of SPT within the current window that represents invalid
-data.</td>
+<td>lightpeak</td>
+<td>If lux sensor data is available in the data file then it was
+summarised at an epoch length defined by the second value of parameter
+<code>windowsizes</code> (defaults to 900 seconds = 15 minutes), to add
+this value to the time series it is interpolated, so the original time
+resolution is not necessarily reflected in this column.</td>
 </tr>
 <tr class="even">
-<td>invalid_wakinghours</td>
-<td>Percentage of waking hours within the current window that represents
-invalid data.</td>
+<td>selfreported</td>
+<td>Factor to indicator what behaviour was reported via sleep diary, if
+no behaviour was reported value is NA</td>
 </tr>
 <tr class="odd">
-<td>timestamp</td>
-<td>Time stamp derived from converting the column timenum, only
-available if <code>save_ms5raw_format = TRUE</code>.</td>
-</tr>
-<tr class="even">
 <td>angle</td>
 <td>anglez by default. If <code>sensor.location = "hip"</code> or
 <code>HASPT.algo = "HorAngle"</code> then angle represents the angle for
@@ -392,13 +396,14 @@ <h3 id="exporting-time-series">Exporting time series<a class="anchor" aria-label
 estimated if no angle was provided. If more angles were extracted in
 part 1 then these will be add with their letter appended.</td>
 </tr>
+<tr class="even">
+<td>step_count</td>
+<td>Only stored when external algortihm for step detection is used.</td>
+</tr>
 <tr class="odd">
-<td>lightpeak</td>
-<td>If lux sensor data is available in the data file then it was
-summarised at an epoch length defined by the second value of parameter
-<code>windowsizes</code> (defaults to 900 seconds = 15 minutes), to add
-this value to the time series it is interpolated, so the original time
-resolution is not necessarily reflected in this column.</td>
+<td>diaryImputationCode</td>
+<td>Code stored in the advanced format sleeplog that will be shown in
+the visualisation.</td>
 </tr>
 <tr class="even">
 <td>temperature</td>
@@ -408,6 +413,27 @@ <h3 id="exporting-time-series">Exporting time series<a class="anchor" aria-label
 this value to the time series it is interpolated, so the original time
 resolution is not necessarily reflected in this column.</td>
 </tr>
+<tr class="odd">
+<td>invalid_fullwindow</td>
+<td>Percentage of the window (see above) that represents invalid data,
+included to ease filtering the timeseries based on whether windows are
+valid or not.</td>
+</tr>
+<tr class="even">
+<td>invalid_sleepperiod</td>
+<td>Percentage of SPT within the current window that represents invalid
+data.</td>
+</tr>
+<tr class="odd">
+<td>invalid_wakinghours</td>
+<td>Percentage of waking hours within the current window that represents
+invalid data.</td>
+</tr>
+<tr class="even">
+<td>timestamp</td>
+<td>Time stamp derived from converting the column timenum, only
+available if <code>save_ms5raw_format = TRUE</code>.</td>
+</tr>
 </tbody>
 </table>
 </div>
diff --git a/docs/articles/chapter13_CircadianRhythm.html b/docs/articles/chapter13_CircadianRhythm.html
index 14c868f26..3040a2888 100644
--- a/docs/articles/chapter13_CircadianRhythm.html
+++ b/docs/articles/chapter13_CircadianRhythm.html
@@ -8,8 +8,8 @@
 <title>13. Circadian Rhythm Analysis • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="13. Circadian Rhythm Analysis">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter14_BehaviouralFragmentation.html b/docs/articles/chapter14_BehaviouralFragmentation.html
index 11d7e18c9..6ea71bd8b 100644
--- a/docs/articles/chapter14_BehaviouralFragmentation.html
+++ b/docs/articles/chapter14_BehaviouralFragmentation.html
@@ -8,8 +8,8 @@
 <title>14. Behavioural fragmentation • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="14. Behavioural fragmentation">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter1_WhatIsGGIR.html b/docs/articles/chapter1_WhatIsGGIR.html
index 9cfb303a0..da327c2a0 100644
--- a/docs/articles/chapter1_WhatIsGGIR.html
+++ b/docs/articles/chapter1_WhatIsGGIR.html
@@ -8,8 +8,8 @@
 <title>1. What is GGIR • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="1. What is GGIR">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter2_Pipeline.html b/docs/articles/chapter2_Pipeline.html
index eafd9e33f..660662cdd 100644
--- a/docs/articles/chapter2_Pipeline.html
+++ b/docs/articles/chapter2_Pipeline.html
@@ -8,8 +8,8 @@
 <title>2. The GGIR pipeline • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="2. The GGIR pipeline">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter3_QualityAssessment.html b/docs/articles/chapter3_QualityAssessment.html
index 276c487ea..fa863507b 100644
--- a/docs/articles/chapter3_QualityAssessment.html
+++ b/docs/articles/chapter3_QualityAssessment.html
@@ -8,8 +8,8 @@
 <title>3. Data Quality Assurance • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="3. Data Quality Assurance">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter4_AccMetrics.html b/docs/articles/chapter4_AccMetrics.html
index 8e4a2a442..71925bdd0 100644
--- a/docs/articles/chapter4_AccMetrics.html
+++ b/docs/articles/chapter4_AccMetrics.html
@@ -8,8 +8,8 @@
 <title>4. From Raw Data to Acceleration Metrics • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="4. From Raw Data to Acceleration Metrics">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter5_StudyProtocol.html b/docs/articles/chapter5_StudyProtocol.html
index 0650200f8..863cff3f6 100644
--- a/docs/articles/chapter5_StudyProtocol.html
+++ b/docs/articles/chapter5_StudyProtocol.html
@@ -8,8 +8,8 @@
 <title>5. Accounting for Study Protocol • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="5. Accounting for Study Protocol">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter6_DataImputation.html b/docs/articles/chapter6_DataImputation.html
index 23ca378a9..24699b921 100644
--- a/docs/articles/chapter6_DataImputation.html
+++ b/docs/articles/chapter6_DataImputation.html
@@ -8,8 +8,8 @@
 <title>6. How GGIR Deals with Invalid Data • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="6. How GGIR Deals with Invalid Data">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter7_DescribingDataWithoutKnowingSleep.html b/docs/articles/chapter7_DescribingDataWithoutKnowingSleep.html
index 0e5c0c454..7f866672e 100644
--- a/docs/articles/chapter7_DescribingDataWithoutKnowingSleep.html
+++ b/docs/articles/chapter7_DescribingDataWithoutKnowingSleep.html
@@ -8,8 +8,8 @@
 <title>7. Describing the Data Without Knowing Sleep • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="7. Describing the Data Without Knowing Sleep">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter8_SleepFundamentalsSibs.html b/docs/articles/chapter8_SleepFundamentalsSibs.html
index 6ac5ce779..fff196e0c 100644
--- a/docs/articles/chapter8_SleepFundamentalsSibs.html
+++ b/docs/articles/chapter8_SleepFundamentalsSibs.html
@@ -8,8 +8,8 @@
 <title>8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB) • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/chapter9_SleepFundamentalsGuiders.html b/docs/articles/chapter9_SleepFundamentalsGuiders.html
index a2b698212..4ead3af59 100644
--- a/docs/articles/chapter9_SleepFundamentalsGuiders.html
+++ b/docs/articles/chapter9_SleepFundamentalsGuiders.html
@@ -8,8 +8,8 @@
 <title>9. Sleep Fundamentals: Guiding sleep detection • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="9. Sleep Fundamentals: Guiding sleep detection">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -333,12 +333,13 @@ <h4 id="advanced-sleep-log">Advanced sleep log<a class="anchor" aria-label="anch
 in it. The advanced sleep log format is recognised by GGIR by looking
 out for the occurrence of at least two column names with the word “date”
 in their name. Wakeup times are recognised with the words “wakeup” in
-the column name. Sleeponset, to bed or in bed times are recognised as
-the columns with any of the following character combinations in their
-name: “onset”, “inbed”, “tobed”, or “lightsout”. Napping times are
-recognised by columns with the word “nap” in their name. Nonwear times
-are recognised by columns with the word “nonwear” in their
-name.</p></li>
+the column name. Sleeponset times are recognised as columns with the
+word “onset” in the column name. Time of going to bed is recognised by
+column names “lightsout”, “inbed”, “tobed”, or “bedstart”. Time of
+getting up is recognised by column names “lightson”, “outbed”, or
+“bedend”. Napping times are recognised by columns with the word “nap” in
+their name. Nonwear times are recognised by columns with the word
+“nonwear” in their name.</p></li>
 <li><p>GGIR guesses the data format by looping over common date formats.
 If the date falls within 30 days of the start date of the accelerometer
 recording then the date format is assumed to be found. It starts with
@@ -487,7 +488,9 @@ <h2 id="dealing-with-expected-or-detect-nonwear-time-segments">Dealing with expe
 <li><p>If we want the guider to consider invalid segments as no movement
 period set parameter <code>HASPT.ignore.invalid = NA</code>. This
 approach may be helpful for studies where the accelerometer is often not
-worn during the night.</p></li>
+worn during the night. If this is used, the guider name in the output
+will be shown with “+invalid” at the end, e.g. “HDCZA+invalid”, to
+reflect that the guider was enhanced.</p></li>
 </ol>
 </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/articles/chapterInProgress.html b/docs/articles/chapterInProgress.html
index 68475fa0c..88b56ee5f 100644
--- a/docs/articles/chapterInProgress.html
+++ b/docs/articles/chapterInProgress.html
@@ -8,8 +8,8 @@
 <title>The GGIR package • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="The GGIR package">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/index.html b/docs/articles/index.html
index 86939f442..2ee90e4ad 100644
--- a/docs/articles/index.html
+++ b/docs/articles/index.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • GGIR</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • GGIR</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/articles/readmyacccsv.html b/docs/articles/readmyacccsv.html
index b52045089..cdd148145 100644
--- a/docs/articles/readmyacccsv.html
+++ b/docs/articles/readmyacccsv.html
@@ -8,8 +8,8 @@
 <title>Reading csv files with raw data in GGIR • GGIR</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Reading csv files with raw data in GGIR">
 <script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script>
 </head>
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -150,7 +150,7 @@ <h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#i
 <p>Internally GGIR loads csv files with accelerometer data and
 standardises the output format to make the data compatible with other
 GGIR functions. Data format standardisation includes unit of
-measurement, timestamp, header format, and column locations.</p>
+measurement, timestamp, file header format, and column locations.</p>
 </div>
 <div class="section level2">
 <h2 id="the-read-myacc-csv-function">The read.myacc.csv function<a class="anchor" aria-label="anchor" href="#the-read-myacc-csv-function"></a>
@@ -219,23 +219,33 @@ <h4 id="header">Arguments for files containing a header<a class="anchor" aria-la
 </h4>
 <ul>
 <li>
-<code>rmc.firstrow.header</code> - First row (number) of the header.
-Leave blank (default) if the file does not have a header.</li>
+<code>rmc.firstrow.header</code> - First row (number) of the file
+header. Leave blank (default) if the file does not have a file header.
+Not to be confused with a one row column header, a file header typically
+takes up several rows and has one or two columns. If the header has two
+columns, the first column is assumed to be the header item names and the
+second column is assumed to have the header item values. If the header
+has one column then it is assumed that each value contains both the name
+and the value of the item.</li>
 <li>
 <code>rmc.header.length</code> - If file has header, specify header
 length (numeric).</li>
 <li>
 <code>rmc.headername.sf</code> - If file has a header, row name
-(character) under which the sample frequency can be found.</li>
+(character) under which the sample frequency can be found,
+e.g. “sample_rate”.</li>
 <li>
 <code>rmc.headername.sn</code> - If file has a header, row name
-(character) under which the serial number can be found.</li>
+(character) under which the serial number can be found,
+e.g. “serial_number”.</li>
 <li>
 <code>rmc.headername.recordingid</code> - If file has a header, row
-name (character) under which the recording ID can be found.</li>
+name (character) under which the recording ID can be found,
+e.g. “ID”.</li>
 <li>
 <code>rmc.header.structure</code> - Character used to split the
-header name from the header value, e.g. “:” or ” “.</li>
+header name from the header value, e.g. “:” if a header value would look
+like “ID: 123” or ” ” if the ehader value would be like “ID 123”.</li>
 </ul>
 </div>
 <div class="section level4">
@@ -407,13 +417,13 @@ <h2 id="usage-of-the-read-myacc-csv-function">Usage of the read.myacc.csv functi
 <p>This file contains timestamps in the column 1 (formatted as “%d/%m/%Y
 %H:%M:%OS”), the acceleration signals (in <em>g</em>’s) for the x, y,
 and z axis in the columns 2, 3, and 4, respectively, and temperature
-information in Celsius in the column 5. Also, this file has no
+information in Celsius in the column 5. Also, this file has no file
 header.</p>
 <p>Before we can use this with GGIR, we first test read this file using
 the <code>read.myacc.csv</code> function directly.</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/wadpac/GGIR/" class="external-link">GGIR</a></span><span class="op">)</span></span>
-<span><span class="fu"><a href="../reference/read.myacc.csv.html">read.myacc.csv</a></span><span class="op">(</span>rmc.file <span class="op">=</span> <span class="st">"C:/mystudy/mydata/datafile.csv"</span>,</span>
+<span><span class="va">data</span> <span class="op">=</span> <span class="fu"><a href="../reference/read.myacc.csv.html">read.myacc.csv</a></span><span class="op">(</span>rmc.file <span class="op">=</span> <span class="st">"C:/mystudy/mydata/datafile.csv"</span>,</span>
 <span>               rmc.nrow <span class="op">=</span> <span class="cn">Inf</span>,</span>
 <span>               rmc.skip <span class="op">=</span> <span class="fl">0</span>,</span>
 <span>               rmc.dec <span class="op">=</span> <span class="st">"."</span>,</span>
@@ -427,6 +437,9 @@ <h2 id="usage-of-the-read-myacc-csv-function">Usage of the read.myacc.csv functi
 <span>               rmc.format.time <span class="op">=</span> <span class="st">"%d/%m/%Y %H:%M:%OS"</span>,</span>
 <span>               desiredtz <span class="op">=</span> <span class="st">"Europe/London"</span>,</span>
 <span>               rmc.sf <span class="op">=</span> <span class="fl">100</span><span class="op">)</span></span></code></pre></div>
+<p>The object data is a list with a data.frame name data and a header.
+The time column in the data.frame represents timestamps expressed in
+seconds since 1-1-1970.</p>
 <div class="section level3">
 <h3 id="example-using-the-shell-function">Example using the shell function<a class="anchor" aria-label="anchor" href="#example-using-the-shell-function"></a>
 </h3>
diff --git a/docs/authors.html b/docs/authors.html
index 9530589f0..021e252e8 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • GGIR</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • GGIR</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -162,13 +162,13 @@ <h2 id="citation">Citation</h2>
 
       <p>van Hees V, Migueles J, Fang Z, Zhao J, Heywood J, Mirkes E, Sabia S (2024).
 <em>GGIR: Raw Accelerometer Data Analysis</em>.
-<a href="https://doi.org/10.5281/zenodo.1051064" class="external-link">doi:10.5281/zenodo.1051064</a>, R package version 3.1-7, <a href="https://CRAN.R-project.org/package=GGIR" class="external-link">https://CRAN.R-project.org/package=GGIR</a>.
+<a href="https://doi.org/10.5281/zenodo.1051064" class="external-link">doi:10.5281/zenodo.1051064</a>, R package version 3.1-8, <a href="https://CRAN.R-project.org/package=GGIR" class="external-link">https://CRAN.R-project.org/package=GGIR</a>.
 </p>
       <pre>@Manual{,
   title = {{GGIR}: Raw Accelerometer Data Analysis},
   author = {Vincent T {van Hees} and Jairo H Migueles and Zhou Fang and Jing Hua Zhao and Joe Heywood and Evgeny Mirkes and Severine Sabia},
   year = {2024},
-  note = {R package version 3.1-7},
+  note = {R package version 3.1-8},
   doi = {10.5281/zenodo.1051064},
   url = {https://CRAN.R-project.org/package=GGIR},
 }</pre>
diff --git a/docs/deps/data-deps.txt b/docs/deps/data-deps.txt
index 8aa49e210..ca4dfd9c5 100644
--- a/docs/deps/data-deps.txt
+++ b/docs/deps/data-deps.txt
@@ -2,8 +2,8 @@
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet" />
 <script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script>
-<link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet" />
-<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet" />
+<link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet" />
+<link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet" />
 <script src="deps/headroom-0.11.0/headroom.min.js"></script>
 <script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script>
 <script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script>
diff --git a/docs/deps/font-awesome-6.5.2/css/all.css b/docs/deps/font-awesome-6.5.2/css/all.css
new file mode 100644
index 000000000..151dd57cb
--- /dev/null
+++ b/docs/deps/font-awesome-6.5.2/css/all.css
@@ -0,0 +1,8028 @@
+/*!
+ * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2024 Fonticons, Inc.
+ */
+.fa {
+  font-family: var(--fa-style-family, "Font Awesome 6 Free");
+  font-weight: var(--fa-style, 900); }
+
+.fa,
+.fa-classic,
+.fa-sharp,
+.fas,
+.fa-solid,
+.far,
+.fa-regular,
+.fab,
+.fa-brands {
+  -moz-osx-font-smoothing: grayscale;
+  -webkit-font-smoothing: antialiased;
+  display: var(--fa-display, inline-block);
+  font-style: normal;
+  font-variant: normal;
+  line-height: 1;
+  text-rendering: auto; }
+
+.fas,
+.fa-classic,
+.fa-solid,
+.far,
+.fa-regular {
+  font-family: 'Font Awesome 6 Free'; }
+
+.fab,
+.fa-brands {
+  font-family: 'Font Awesome 6 Brands'; }
+
+.fa-1x {
+  font-size: 1em; }
+
+.fa-2x {
+  font-size: 2em; }
+
+.fa-3x {
+  font-size: 3em; }
+
+.fa-4x {
+  font-size: 4em; }
+
+.fa-5x {
+  font-size: 5em; }
+
+.fa-6x {
+  font-size: 6em; }
+
+.fa-7x {
+  font-size: 7em; }
+
+.fa-8x {
+  font-size: 8em; }
+
+.fa-9x {
+  font-size: 9em; }
+
+.fa-10x {
+  font-size: 10em; }
+
+.fa-2xs {
+  font-size: 0.625em;
+  line-height: 0.1em;
+  vertical-align: 0.225em; }
+
+.fa-xs {
+  font-size: 0.75em;
+  line-height: 0.08333em;
+  vertical-align: 0.125em; }
+
+.fa-sm {
+  font-size: 0.875em;
+  line-height: 0.07143em;
+  vertical-align: 0.05357em; }
+
+.fa-lg {
+  font-size: 1.25em;
+  line-height: 0.05em;
+  vertical-align: -0.075em; }
+
+.fa-xl {
+  font-size: 1.5em;
+  line-height: 0.04167em;
+  vertical-align: -0.125em; }
+
+.fa-2xl {
+  font-size: 2em;
+  line-height: 0.03125em;
+  vertical-align: -0.1875em; }
+
+.fa-fw {
+  text-align: center;
+  width: 1.25em; }
+
+.fa-ul {
+  list-style-type: none;
+  margin-left: var(--fa-li-margin, 2.5em);
+  padding-left: 0; }
+  .fa-ul > li {
+    position: relative; }
+
+.fa-li {
+  left: calc(var(--fa-li-width, 2em) * -1);
+  position: absolute;
+  text-align: center;
+  width: var(--fa-li-width, 2em);
+  line-height: inherit; }
+
+.fa-border {
+  border-color: var(--fa-border-color, #eee);
+  border-radius: var(--fa-border-radius, 0.1em);
+  border-style: var(--fa-border-style, solid);
+  border-width: var(--fa-border-width, 0.08em);
+  padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); }
+
+.fa-pull-left {
+  float: left;
+  margin-right: var(--fa-pull-margin, 0.3em); }
+
+.fa-pull-right {
+  float: right;
+  margin-left: var(--fa-pull-margin, 0.3em); }
+
+.fa-beat {
+  -webkit-animation-name: fa-beat;
+          animation-name: fa-beat;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-bounce {
+  -webkit-animation-name: fa-bounce;
+          animation-name: fa-bounce;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); }
+
+.fa-fade {
+  -webkit-animation-name: fa-fade;
+          animation-name: fa-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-beat-fade {
+  -webkit-animation-name: fa-beat-fade;
+          animation-name: fa-beat-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-flip {
+  -webkit-animation-name: fa-flip;
+          animation-name: fa-flip;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-shake {
+  -webkit-animation-name: fa-shake;
+          animation-name: fa-shake;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 2s);
+          animation-duration: var(--fa-animation-duration, 2s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin-reverse {
+  --fa-animation-direction: reverse; }
+
+.fa-pulse,
+.fa-spin-pulse {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, steps(8));
+          animation-timing-function: var(--fa-animation-timing, steps(8)); }
+
+@media (prefers-reduced-motion: reduce) {
+  .fa-beat,
+  .fa-bounce,
+  .fa-fade,
+  .fa-beat-fade,
+  .fa-flip,
+  .fa-pulse,
+  .fa-shake,
+  .fa-spin,
+  .fa-spin-pulse {
+    -webkit-animation-delay: -1ms;
+            animation-delay: -1ms;
+    -webkit-animation-duration: 1ms;
+            animation-duration: 1ms;
+    -webkit-animation-iteration-count: 1;
+            animation-iteration-count: 1;
+    -webkit-transition-delay: 0s;
+            transition-delay: 0s;
+    -webkit-transition-duration: 0s;
+            transition-duration: 0s; } }
+
+@-webkit-keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@-webkit-keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@-webkit-keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@-webkit-keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@-webkit-keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@-webkit-keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@-webkit-keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+@keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+.fa-rotate-90 {
+  -webkit-transform: rotate(90deg);
+          transform: rotate(90deg); }
+
+.fa-rotate-180 {
+  -webkit-transform: rotate(180deg);
+          transform: rotate(180deg); }
+
+.fa-rotate-270 {
+  -webkit-transform: rotate(270deg);
+          transform: rotate(270deg); }
+
+.fa-flip-horizontal {
+  -webkit-transform: scale(-1, 1);
+          transform: scale(-1, 1); }
+
+.fa-flip-vertical {
+  -webkit-transform: scale(1, -1);
+          transform: scale(1, -1); }
+
+.fa-flip-both,
+.fa-flip-horizontal.fa-flip-vertical {
+  -webkit-transform: scale(-1, -1);
+          transform: scale(-1, -1); }
+
+.fa-rotate-by {
+  -webkit-transform: rotate(var(--fa-rotate-angle, 0));
+          transform: rotate(var(--fa-rotate-angle, 0)); }
+
+.fa-stack {
+  display: inline-block;
+  height: 2em;
+  line-height: 2em;
+  position: relative;
+  vertical-align: middle;
+  width: 2.5em; }
+
+.fa-stack-1x,
+.fa-stack-2x {
+  left: 0;
+  position: absolute;
+  text-align: center;
+  width: 100%;
+  z-index: var(--fa-stack-z-index, auto); }
+
+.fa-stack-1x {
+  line-height: inherit; }
+
+.fa-stack-2x {
+  font-size: 2em; }
+
+.fa-inverse {
+  color: var(--fa-inverse, #fff); }
+
+/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
+readers do not read off random characters that represent icons */
+
+.fa-0::before {
+  content: "\30"; }
+
+.fa-1::before {
+  content: "\31"; }
+
+.fa-2::before {
+  content: "\32"; }
+
+.fa-3::before {
+  content: "\33"; }
+
+.fa-4::before {
+  content: "\34"; }
+
+.fa-5::before {
+  content: "\35"; }
+
+.fa-6::before {
+  content: "\36"; }
+
+.fa-7::before {
+  content: "\37"; }
+
+.fa-8::before {
+  content: "\38"; }
+
+.fa-9::before {
+  content: "\39"; }
+
+.fa-fill-drip::before {
+  content: "\f576"; }
+
+.fa-arrows-to-circle::before {
+  content: "\e4bd"; }
+
+.fa-circle-chevron-right::before {
+  content: "\f138"; }
+
+.fa-chevron-circle-right::before {
+  content: "\f138"; }
+
+.fa-at::before {
+  content: "\40"; }
+
+.fa-trash-can::before {
+  content: "\f2ed"; }
+
+.fa-trash-alt::before {
+  content: "\f2ed"; }
+
+.fa-text-height::before {
+  content: "\f034"; }
+
+.fa-user-xmark::before {
+  content: "\f235"; }
+
+.fa-user-times::before {
+  content: "\f235"; }
+
+.fa-stethoscope::before {
+  content: "\f0f1"; }
+
+.fa-message::before {
+  content: "\f27a"; }
+
+.fa-comment-alt::before {
+  content: "\f27a"; }
+
+.fa-info::before {
+  content: "\f129"; }
+
+.fa-down-left-and-up-right-to-center::before {
+  content: "\f422"; }
+
+.fa-compress-alt::before {
+  content: "\f422"; }
+
+.fa-explosion::before {
+  content: "\e4e9"; }
+
+.fa-file-lines::before {
+  content: "\f15c"; }
+
+.fa-file-alt::before {
+  content: "\f15c"; }
+
+.fa-file-text::before {
+  content: "\f15c"; }
+
+.fa-wave-square::before {
+  content: "\f83e"; }
+
+.fa-ring::before {
+  content: "\f70b"; }
+
+.fa-building-un::before {
+  content: "\e4d9"; }
+
+.fa-dice-three::before {
+  content: "\f527"; }
+
+.fa-calendar-days::before {
+  content: "\f073"; }
+
+.fa-calendar-alt::before {
+  content: "\f073"; }
+
+.fa-anchor-circle-check::before {
+  content: "\e4aa"; }
+
+.fa-building-circle-arrow-right::before {
+  content: "\e4d1"; }
+
+.fa-volleyball::before {
+  content: "\f45f"; }
+
+.fa-volleyball-ball::before {
+  content: "\f45f"; }
+
+.fa-arrows-up-to-line::before {
+  content: "\e4c2"; }
+
+.fa-sort-down::before {
+  content: "\f0dd"; }
+
+.fa-sort-desc::before {
+  content: "\f0dd"; }
+
+.fa-circle-minus::before {
+  content: "\f056"; }
+
+.fa-minus-circle::before {
+  content: "\f056"; }
+
+.fa-door-open::before {
+  content: "\f52b"; }
+
+.fa-right-from-bracket::before {
+  content: "\f2f5"; }
+
+.fa-sign-out-alt::before {
+  content: "\f2f5"; }
+
+.fa-atom::before {
+  content: "\f5d2"; }
+
+.fa-soap::before {
+  content: "\e06e"; }
+
+.fa-icons::before {
+  content: "\f86d"; }
+
+.fa-heart-music-camera-bolt::before {
+  content: "\f86d"; }
+
+.fa-microphone-lines-slash::before {
+  content: "\f539"; }
+
+.fa-microphone-alt-slash::before {
+  content: "\f539"; }
+
+.fa-bridge-circle-check::before {
+  content: "\e4c9"; }
+
+.fa-pump-medical::before {
+  content: "\e06a"; }
+
+.fa-fingerprint::before {
+  content: "\f577"; }
+
+.fa-hand-point-right::before {
+  content: "\f0a4"; }
+
+.fa-magnifying-glass-location::before {
+  content: "\f689"; }
+
+.fa-search-location::before {
+  content: "\f689"; }
+
+.fa-forward-step::before {
+  content: "\f051"; }
+
+.fa-step-forward::before {
+  content: "\f051"; }
+
+.fa-face-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-flag-checkered::before {
+  content: "\f11e"; }
+
+.fa-football::before {
+  content: "\f44e"; }
+
+.fa-football-ball::before {
+  content: "\f44e"; }
+
+.fa-school-circle-exclamation::before {
+  content: "\e56c"; }
+
+.fa-crop::before {
+  content: "\f125"; }
+
+.fa-angles-down::before {
+  content: "\f103"; }
+
+.fa-angle-double-down::before {
+  content: "\f103"; }
+
+.fa-users-rectangle::before {
+  content: "\e594"; }
+
+.fa-people-roof::before {
+  content: "\e537"; }
+
+.fa-people-line::before {
+  content: "\e534"; }
+
+.fa-beer-mug-empty::before {
+  content: "\f0fc"; }
+
+.fa-beer::before {
+  content: "\f0fc"; }
+
+.fa-diagram-predecessor::before {
+  content: "\e477"; }
+
+.fa-arrow-up-long::before {
+  content: "\f176"; }
+
+.fa-long-arrow-up::before {
+  content: "\f176"; }
+
+.fa-fire-flame-simple::before {
+  content: "\f46a"; }
+
+.fa-burn::before {
+  content: "\f46a"; }
+
+.fa-person::before {
+  content: "\f183"; }
+
+.fa-male::before {
+  content: "\f183"; }
+
+.fa-laptop::before {
+  content: "\f109"; }
+
+.fa-file-csv::before {
+  content: "\f6dd"; }
+
+.fa-menorah::before {
+  content: "\f676"; }
+
+.fa-truck-plane::before {
+  content: "\e58f"; }
+
+.fa-record-vinyl::before {
+  content: "\f8d9"; }
+
+.fa-face-grin-stars::before {
+  content: "\f587"; }
+
+.fa-grin-stars::before {
+  content: "\f587"; }
+
+.fa-bong::before {
+  content: "\f55c"; }
+
+.fa-spaghetti-monster-flying::before {
+  content: "\f67b"; }
+
+.fa-pastafarianism::before {
+  content: "\f67b"; }
+
+.fa-arrow-down-up-across-line::before {
+  content: "\e4af"; }
+
+.fa-spoon::before {
+  content: "\f2e5"; }
+
+.fa-utensil-spoon::before {
+  content: "\f2e5"; }
+
+.fa-jar-wheat::before {
+  content: "\e517"; }
+
+.fa-envelopes-bulk::before {
+  content: "\f674"; }
+
+.fa-mail-bulk::before {
+  content: "\f674"; }
+
+.fa-file-circle-exclamation::before {
+  content: "\e4eb"; }
+
+.fa-circle-h::before {
+  content: "\f47e"; }
+
+.fa-hospital-symbol::before {
+  content: "\f47e"; }
+
+.fa-pager::before {
+  content: "\f815"; }
+
+.fa-address-book::before {
+  content: "\f2b9"; }
+
+.fa-contact-book::before {
+  content: "\f2b9"; }
+
+.fa-strikethrough::before {
+  content: "\f0cc"; }
+
+.fa-k::before {
+  content: "\4b"; }
+
+.fa-landmark-flag::before {
+  content: "\e51c"; }
+
+.fa-pencil::before {
+  content: "\f303"; }
+
+.fa-pencil-alt::before {
+  content: "\f303"; }
+
+.fa-backward::before {
+  content: "\f04a"; }
+
+.fa-caret-right::before {
+  content: "\f0da"; }
+
+.fa-comments::before {
+  content: "\f086"; }
+
+.fa-paste::before {
+  content: "\f0ea"; }
+
+.fa-file-clipboard::before {
+  content: "\f0ea"; }
+
+.fa-code-pull-request::before {
+  content: "\e13c"; }
+
+.fa-clipboard-list::before {
+  content: "\f46d"; }
+
+.fa-truck-ramp-box::before {
+  content: "\f4de"; }
+
+.fa-truck-loading::before {
+  content: "\f4de"; }
+
+.fa-user-check::before {
+  content: "\f4fc"; }
+
+.fa-vial-virus::before {
+  content: "\e597"; }
+
+.fa-sheet-plastic::before {
+  content: "\e571"; }
+
+.fa-blog::before {
+  content: "\f781"; }
+
+.fa-user-ninja::before {
+  content: "\f504"; }
+
+.fa-person-arrow-up-from-line::before {
+  content: "\e539"; }
+
+.fa-scroll-torah::before {
+  content: "\f6a0"; }
+
+.fa-torah::before {
+  content: "\f6a0"; }
+
+.fa-broom-ball::before {
+  content: "\f458"; }
+
+.fa-quidditch::before {
+  content: "\f458"; }
+
+.fa-quidditch-broom-ball::before {
+  content: "\f458"; }
+
+.fa-toggle-off::before {
+  content: "\f204"; }
+
+.fa-box-archive::before {
+  content: "\f187"; }
+
+.fa-archive::before {
+  content: "\f187"; }
+
+.fa-person-drowning::before {
+  content: "\e545"; }
+
+.fa-arrow-down-9-1::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-desc::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-down-alt::before {
+  content: "\f886"; }
+
+.fa-face-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-spray-can::before {
+  content: "\f5bd"; }
+
+.fa-truck-monster::before {
+  content: "\f63b"; }
+
+.fa-w::before {
+  content: "\57"; }
+
+.fa-earth-africa::before {
+  content: "\f57c"; }
+
+.fa-globe-africa::before {
+  content: "\f57c"; }
+
+.fa-rainbow::before {
+  content: "\f75b"; }
+
+.fa-circle-notch::before {
+  content: "\f1ce"; }
+
+.fa-tablet-screen-button::before {
+  content: "\f3fa"; }
+
+.fa-tablet-alt::before {
+  content: "\f3fa"; }
+
+.fa-paw::before {
+  content: "\f1b0"; }
+
+.fa-cloud::before {
+  content: "\f0c2"; }
+
+.fa-trowel-bricks::before {
+  content: "\e58a"; }
+
+.fa-face-flushed::before {
+  content: "\f579"; }
+
+.fa-flushed::before {
+  content: "\f579"; }
+
+.fa-hospital-user::before {
+  content: "\f80d"; }
+
+.fa-tent-arrow-left-right::before {
+  content: "\e57f"; }
+
+.fa-gavel::before {
+  content: "\f0e3"; }
+
+.fa-legal::before {
+  content: "\f0e3"; }
+
+.fa-binoculars::before {
+  content: "\f1e5"; }
+
+.fa-microphone-slash::before {
+  content: "\f131"; }
+
+.fa-box-tissue::before {
+  content: "\e05b"; }
+
+.fa-motorcycle::before {
+  content: "\f21c"; }
+
+.fa-bell-concierge::before {
+  content: "\f562"; }
+
+.fa-concierge-bell::before {
+  content: "\f562"; }
+
+.fa-pen-ruler::before {
+  content: "\f5ae"; }
+
+.fa-pencil-ruler::before {
+  content: "\f5ae"; }
+
+.fa-people-arrows::before {
+  content: "\e068"; }
+
+.fa-people-arrows-left-right::before {
+  content: "\e068"; }
+
+.fa-mars-and-venus-burst::before {
+  content: "\e523"; }
+
+.fa-square-caret-right::before {
+  content: "\f152"; }
+
+.fa-caret-square-right::before {
+  content: "\f152"; }
+
+.fa-scissors::before {
+  content: "\f0c4"; }
+
+.fa-cut::before {
+  content: "\f0c4"; }
+
+.fa-sun-plant-wilt::before {
+  content: "\e57a"; }
+
+.fa-toilets-portable::before {
+  content: "\e584"; }
+
+.fa-hockey-puck::before {
+  content: "\f453"; }
+
+.fa-table::before {
+  content: "\f0ce"; }
+
+.fa-magnifying-glass-arrow-right::before {
+  content: "\e521"; }
+
+.fa-tachograph-digital::before {
+  content: "\f566"; }
+
+.fa-digital-tachograph::before {
+  content: "\f566"; }
+
+.fa-users-slash::before {
+  content: "\e073"; }
+
+.fa-clover::before {
+  content: "\e139"; }
+
+.fa-reply::before {
+  content: "\f3e5"; }
+
+.fa-mail-reply::before {
+  content: "\f3e5"; }
+
+.fa-star-and-crescent::before {
+  content: "\f699"; }
+
+.fa-house-fire::before {
+  content: "\e50c"; }
+
+.fa-square-minus::before {
+  content: "\f146"; }
+
+.fa-minus-square::before {
+  content: "\f146"; }
+
+.fa-helicopter::before {
+  content: "\f533"; }
+
+.fa-compass::before {
+  content: "\f14e"; }
+
+.fa-square-caret-down::before {
+  content: "\f150"; }
+
+.fa-caret-square-down::before {
+  content: "\f150"; }
+
+.fa-file-circle-question::before {
+  content: "\e4ef"; }
+
+.fa-laptop-code::before {
+  content: "\f5fc"; }
+
+.fa-swatchbook::before {
+  content: "\f5c3"; }
+
+.fa-prescription-bottle::before {
+  content: "\f485"; }
+
+.fa-bars::before {
+  content: "\f0c9"; }
+
+.fa-navicon::before {
+  content: "\f0c9"; }
+
+.fa-people-group::before {
+  content: "\e533"; }
+
+.fa-hourglass-end::before {
+  content: "\f253"; }
+
+.fa-hourglass-3::before {
+  content: "\f253"; }
+
+.fa-heart-crack::before {
+  content: "\f7a9"; }
+
+.fa-heart-broken::before {
+  content: "\f7a9"; }
+
+.fa-square-up-right::before {
+  content: "\f360"; }
+
+.fa-external-link-square-alt::before {
+  content: "\f360"; }
+
+.fa-face-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-film::before {
+  content: "\f008"; }
+
+.fa-ruler-horizontal::before {
+  content: "\f547"; }
+
+.fa-people-robbery::before {
+  content: "\e536"; }
+
+.fa-lightbulb::before {
+  content: "\f0eb"; }
+
+.fa-caret-left::before {
+  content: "\f0d9"; }
+
+.fa-circle-exclamation::before {
+  content: "\f06a"; }
+
+.fa-exclamation-circle::before {
+  content: "\f06a"; }
+
+.fa-school-circle-xmark::before {
+  content: "\e56d"; }
+
+.fa-arrow-right-from-bracket::before {
+  content: "\f08b"; }
+
+.fa-sign-out::before {
+  content: "\f08b"; }
+
+.fa-circle-chevron-down::before {
+  content: "\f13a"; }
+
+.fa-chevron-circle-down::before {
+  content: "\f13a"; }
+
+.fa-unlock-keyhole::before {
+  content: "\f13e"; }
+
+.fa-unlock-alt::before {
+  content: "\f13e"; }
+
+.fa-cloud-showers-heavy::before {
+  content: "\f740"; }
+
+.fa-headphones-simple::before {
+  content: "\f58f"; }
+
+.fa-headphones-alt::before {
+  content: "\f58f"; }
+
+.fa-sitemap::before {
+  content: "\f0e8"; }
+
+.fa-circle-dollar-to-slot::before {
+  content: "\f4b9"; }
+
+.fa-donate::before {
+  content: "\f4b9"; }
+
+.fa-memory::before {
+  content: "\f538"; }
+
+.fa-road-spikes::before {
+  content: "\e568"; }
+
+.fa-fire-burner::before {
+  content: "\e4f1"; }
+
+.fa-flag::before {
+  content: "\f024"; }
+
+.fa-hanukiah::before {
+  content: "\f6e6"; }
+
+.fa-feather::before {
+  content: "\f52d"; }
+
+.fa-volume-low::before {
+  content: "\f027"; }
+
+.fa-volume-down::before {
+  content: "\f027"; }
+
+.fa-comment-slash::before {
+  content: "\f4b3"; }
+
+.fa-cloud-sun-rain::before {
+  content: "\f743"; }
+
+.fa-compress::before {
+  content: "\f066"; }
+
+.fa-wheat-awn::before {
+  content: "\e2cd"; }
+
+.fa-wheat-alt::before {
+  content: "\e2cd"; }
+
+.fa-ankh::before {
+  content: "\f644"; }
+
+.fa-hands-holding-child::before {
+  content: "\e4fa"; }
+
+.fa-asterisk::before {
+  content: "\2a"; }
+
+.fa-square-check::before {
+  content: "\f14a"; }
+
+.fa-check-square::before {
+  content: "\f14a"; }
+
+.fa-peseta-sign::before {
+  content: "\e221"; }
+
+.fa-heading::before {
+  content: "\f1dc"; }
+
+.fa-header::before {
+  content: "\f1dc"; }
+
+.fa-ghost::before {
+  content: "\f6e2"; }
+
+.fa-list::before {
+  content: "\f03a"; }
+
+.fa-list-squares::before {
+  content: "\f03a"; }
+
+.fa-square-phone-flip::before {
+  content: "\f87b"; }
+
+.fa-phone-square-alt::before {
+  content: "\f87b"; }
+
+.fa-cart-plus::before {
+  content: "\f217"; }
+
+.fa-gamepad::before {
+  content: "\f11b"; }
+
+.fa-circle-dot::before {
+  content: "\f192"; }
+
+.fa-dot-circle::before {
+  content: "\f192"; }
+
+.fa-face-dizzy::before {
+  content: "\f567"; }
+
+.fa-dizzy::before {
+  content: "\f567"; }
+
+.fa-egg::before {
+  content: "\f7fb"; }
+
+.fa-house-medical-circle-xmark::before {
+  content: "\e513"; }
+
+.fa-campground::before {
+  content: "\f6bb"; }
+
+.fa-folder-plus::before {
+  content: "\f65e"; }
+
+.fa-futbol::before {
+  content: "\f1e3"; }
+
+.fa-futbol-ball::before {
+  content: "\f1e3"; }
+
+.fa-soccer-ball::before {
+  content: "\f1e3"; }
+
+.fa-paintbrush::before {
+  content: "\f1fc"; }
+
+.fa-paint-brush::before {
+  content: "\f1fc"; }
+
+.fa-lock::before {
+  content: "\f023"; }
+
+.fa-gas-pump::before {
+  content: "\f52f"; }
+
+.fa-hot-tub-person::before {
+  content: "\f593"; }
+
+.fa-hot-tub::before {
+  content: "\f593"; }
+
+.fa-map-location::before {
+  content: "\f59f"; }
+
+.fa-map-marked::before {
+  content: "\f59f"; }
+
+.fa-house-flood-water::before {
+  content: "\e50e"; }
+
+.fa-tree::before {
+  content: "\f1bb"; }
+
+.fa-bridge-lock::before {
+  content: "\e4cc"; }
+
+.fa-sack-dollar::before {
+  content: "\f81d"; }
+
+.fa-pen-to-square::before {
+  content: "\f044"; }
+
+.fa-edit::before {
+  content: "\f044"; }
+
+.fa-car-side::before {
+  content: "\f5e4"; }
+
+.fa-share-nodes::before {
+  content: "\f1e0"; }
+
+.fa-share-alt::before {
+  content: "\f1e0"; }
+
+.fa-heart-circle-minus::before {
+  content: "\e4ff"; }
+
+.fa-hourglass-half::before {
+  content: "\f252"; }
+
+.fa-hourglass-2::before {
+  content: "\f252"; }
+
+.fa-microscope::before {
+  content: "\f610"; }
+
+.fa-sink::before {
+  content: "\e06d"; }
+
+.fa-bag-shopping::before {
+  content: "\f290"; }
+
+.fa-shopping-bag::before {
+  content: "\f290"; }
+
+.fa-arrow-down-z-a::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-desc::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-down-alt::before {
+  content: "\f881"; }
+
+.fa-mitten::before {
+  content: "\f7b5"; }
+
+.fa-person-rays::before {
+  content: "\e54d"; }
+
+.fa-users::before {
+  content: "\f0c0"; }
+
+.fa-eye-slash::before {
+  content: "\f070"; }
+
+.fa-flask-vial::before {
+  content: "\e4f3"; }
+
+.fa-hand::before {
+  content: "\f256"; }
+
+.fa-hand-paper::before {
+  content: "\f256"; }
+
+.fa-om::before {
+  content: "\f679"; }
+
+.fa-worm::before {
+  content: "\e599"; }
+
+.fa-house-circle-xmark::before {
+  content: "\e50b"; }
+
+.fa-plug::before {
+  content: "\f1e6"; }
+
+.fa-chevron-up::before {
+  content: "\f077"; }
+
+.fa-hand-spock::before {
+  content: "\f259"; }
+
+.fa-stopwatch::before {
+  content: "\f2f2"; }
+
+.fa-face-kiss::before {
+  content: "\f596"; }
+
+.fa-kiss::before {
+  content: "\f596"; }
+
+.fa-bridge-circle-xmark::before {
+  content: "\e4cb"; }
+
+.fa-face-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-chess-bishop::before {
+  content: "\f43a"; }
+
+.fa-face-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-ear-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deafness::before {
+  content: "\f2a4"; }
+
+.fa-hard-of-hearing::before {
+  content: "\f2a4"; }
+
+.fa-road-circle-check::before {
+  content: "\e564"; }
+
+.fa-dice-five::before {
+  content: "\f523"; }
+
+.fa-square-rss::before {
+  content: "\f143"; }
+
+.fa-rss-square::before {
+  content: "\f143"; }
+
+.fa-land-mine-on::before {
+  content: "\e51b"; }
+
+.fa-i-cursor::before {
+  content: "\f246"; }
+
+.fa-stamp::before {
+  content: "\f5bf"; }
+
+.fa-stairs::before {
+  content: "\e289"; }
+
+.fa-i::before {
+  content: "\49"; }
+
+.fa-hryvnia-sign::before {
+  content: "\f6f2"; }
+
+.fa-hryvnia::before {
+  content: "\f6f2"; }
+
+.fa-pills::before {
+  content: "\f484"; }
+
+.fa-face-grin-wide::before {
+  content: "\f581"; }
+
+.fa-grin-alt::before {
+  content: "\f581"; }
+
+.fa-tooth::before {
+  content: "\f5c9"; }
+
+.fa-v::before {
+  content: "\56"; }
+
+.fa-bangladeshi-taka-sign::before {
+  content: "\e2e6"; }
+
+.fa-bicycle::before {
+  content: "\f206"; }
+
+.fa-staff-snake::before {
+  content: "\e579"; }
+
+.fa-rod-asclepius::before {
+  content: "\e579"; }
+
+.fa-rod-snake::before {
+  content: "\e579"; }
+
+.fa-staff-aesculapius::before {
+  content: "\e579"; }
+
+.fa-head-side-cough-slash::before {
+  content: "\e062"; }
+
+.fa-truck-medical::before {
+  content: "\f0f9"; }
+
+.fa-ambulance::before {
+  content: "\f0f9"; }
+
+.fa-wheat-awn-circle-exclamation::before {
+  content: "\e598"; }
+
+.fa-snowman::before {
+  content: "\f7d0"; }
+
+.fa-mortar-pestle::before {
+  content: "\f5a7"; }
+
+.fa-road-barrier::before {
+  content: "\e562"; }
+
+.fa-school::before {
+  content: "\f549"; }
+
+.fa-igloo::before {
+  content: "\f7ae"; }
+
+.fa-joint::before {
+  content: "\f595"; }
+
+.fa-angle-right::before {
+  content: "\f105"; }
+
+.fa-horse::before {
+  content: "\f6f0"; }
+
+.fa-q::before {
+  content: "\51"; }
+
+.fa-g::before {
+  content: "\47"; }
+
+.fa-notes-medical::before {
+  content: "\f481"; }
+
+.fa-temperature-half::before {
+  content: "\f2c9"; }
+
+.fa-temperature-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-half::before {
+  content: "\f2c9"; }
+
+.fa-dong-sign::before {
+  content: "\e169"; }
+
+.fa-capsules::before {
+  content: "\f46b"; }
+
+.fa-poo-storm::before {
+  content: "\f75a"; }
+
+.fa-poo-bolt::before {
+  content: "\f75a"; }
+
+.fa-face-frown-open::before {
+  content: "\f57a"; }
+
+.fa-frown-open::before {
+  content: "\f57a"; }
+
+.fa-hand-point-up::before {
+  content: "\f0a6"; }
+
+.fa-money-bill::before {
+  content: "\f0d6"; }
+
+.fa-bookmark::before {
+  content: "\f02e"; }
+
+.fa-align-justify::before {
+  content: "\f039"; }
+
+.fa-umbrella-beach::before {
+  content: "\f5ca"; }
+
+.fa-helmet-un::before {
+  content: "\e503"; }
+
+.fa-bullseye::before {
+  content: "\f140"; }
+
+.fa-bacon::before {
+  content: "\f7e5"; }
+
+.fa-hand-point-down::before {
+  content: "\f0a7"; }
+
+.fa-arrow-up-from-bracket::before {
+  content: "\e09a"; }
+
+.fa-folder::before {
+  content: "\f07b"; }
+
+.fa-folder-blank::before {
+  content: "\f07b"; }
+
+.fa-file-waveform::before {
+  content: "\f478"; }
+
+.fa-file-medical-alt::before {
+  content: "\f478"; }
+
+.fa-radiation::before {
+  content: "\f7b9"; }
+
+.fa-chart-simple::before {
+  content: "\e473"; }
+
+.fa-mars-stroke::before {
+  content: "\f229"; }
+
+.fa-vial::before {
+  content: "\f492"; }
+
+.fa-gauge::before {
+  content: "\f624"; }
+
+.fa-dashboard::before {
+  content: "\f624"; }
+
+.fa-gauge-med::before {
+  content: "\f624"; }
+
+.fa-tachometer-alt-average::before {
+  content: "\f624"; }
+
+.fa-wand-magic-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-magic-wand-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-e::before {
+  content: "\45"; }
+
+.fa-pen-clip::before {
+  content: "\f305"; }
+
+.fa-pen-alt::before {
+  content: "\f305"; }
+
+.fa-bridge-circle-exclamation::before {
+  content: "\e4ca"; }
+
+.fa-user::before {
+  content: "\f007"; }
+
+.fa-school-circle-check::before {
+  content: "\e56b"; }
+
+.fa-dumpster::before {
+  content: "\f793"; }
+
+.fa-van-shuttle::before {
+  content: "\f5b6"; }
+
+.fa-shuttle-van::before {
+  content: "\f5b6"; }
+
+.fa-building-user::before {
+  content: "\e4da"; }
+
+.fa-square-caret-left::before {
+  content: "\f191"; }
+
+.fa-caret-square-left::before {
+  content: "\f191"; }
+
+.fa-highlighter::before {
+  content: "\f591"; }
+
+.fa-key::before {
+  content: "\f084"; }
+
+.fa-bullhorn::before {
+  content: "\f0a1"; }
+
+.fa-globe::before {
+  content: "\f0ac"; }
+
+.fa-synagogue::before {
+  content: "\f69b"; }
+
+.fa-person-half-dress::before {
+  content: "\e548"; }
+
+.fa-road-bridge::before {
+  content: "\e563"; }
+
+.fa-location-arrow::before {
+  content: "\f124"; }
+
+.fa-c::before {
+  content: "\43"; }
+
+.fa-tablet-button::before {
+  content: "\f10a"; }
+
+.fa-building-lock::before {
+  content: "\e4d6"; }
+
+.fa-pizza-slice::before {
+  content: "\f818"; }
+
+.fa-money-bill-wave::before {
+  content: "\f53a"; }
+
+.fa-chart-area::before {
+  content: "\f1fe"; }
+
+.fa-area-chart::before {
+  content: "\f1fe"; }
+
+.fa-house-flag::before {
+  content: "\e50d"; }
+
+.fa-person-circle-minus::before {
+  content: "\e540"; }
+
+.fa-ban::before {
+  content: "\f05e"; }
+
+.fa-cancel::before {
+  content: "\f05e"; }
+
+.fa-camera-rotate::before {
+  content: "\e0d8"; }
+
+.fa-spray-can-sparkles::before {
+  content: "\f5d0"; }
+
+.fa-air-freshener::before {
+  content: "\f5d0"; }
+
+.fa-star::before {
+  content: "\f005"; }
+
+.fa-repeat::before {
+  content: "\f363"; }
+
+.fa-cross::before {
+  content: "\f654"; }
+
+.fa-box::before {
+  content: "\f466"; }
+
+.fa-venus-mars::before {
+  content: "\f228"; }
+
+.fa-arrow-pointer::before {
+  content: "\f245"; }
+
+.fa-mouse-pointer::before {
+  content: "\f245"; }
+
+.fa-maximize::before {
+  content: "\f31e"; }
+
+.fa-expand-arrows-alt::before {
+  content: "\f31e"; }
+
+.fa-charging-station::before {
+  content: "\f5e7"; }
+
+.fa-shapes::before {
+  content: "\f61f"; }
+
+.fa-triangle-circle-square::before {
+  content: "\f61f"; }
+
+.fa-shuffle::before {
+  content: "\f074"; }
+
+.fa-random::before {
+  content: "\f074"; }
+
+.fa-person-running::before {
+  content: "\f70c"; }
+
+.fa-running::before {
+  content: "\f70c"; }
+
+.fa-mobile-retro::before {
+  content: "\e527"; }
+
+.fa-grip-lines-vertical::before {
+  content: "\f7a5"; }
+
+.fa-spider::before {
+  content: "\f717"; }
+
+.fa-hands-bound::before {
+  content: "\e4f9"; }
+
+.fa-file-invoice-dollar::before {
+  content: "\f571"; }
+
+.fa-plane-circle-exclamation::before {
+  content: "\e556"; }
+
+.fa-x-ray::before {
+  content: "\f497"; }
+
+.fa-spell-check::before {
+  content: "\f891"; }
+
+.fa-slash::before {
+  content: "\f715"; }
+
+.fa-computer-mouse::before {
+  content: "\f8cc"; }
+
+.fa-mouse::before {
+  content: "\f8cc"; }
+
+.fa-arrow-right-to-bracket::before {
+  content: "\f090"; }
+
+.fa-sign-in::before {
+  content: "\f090"; }
+
+.fa-shop-slash::before {
+  content: "\e070"; }
+
+.fa-store-alt-slash::before {
+  content: "\e070"; }
+
+.fa-server::before {
+  content: "\f233"; }
+
+.fa-virus-covid-slash::before {
+  content: "\e4a9"; }
+
+.fa-shop-lock::before {
+  content: "\e4a5"; }
+
+.fa-hourglass-start::before {
+  content: "\f251"; }
+
+.fa-hourglass-1::before {
+  content: "\f251"; }
+
+.fa-blender-phone::before {
+  content: "\f6b6"; }
+
+.fa-building-wheat::before {
+  content: "\e4db"; }
+
+.fa-person-breastfeeding::before {
+  content: "\e53a"; }
+
+.fa-right-to-bracket::before {
+  content: "\f2f6"; }
+
+.fa-sign-in-alt::before {
+  content: "\f2f6"; }
+
+.fa-venus::before {
+  content: "\f221"; }
+
+.fa-passport::before {
+  content: "\f5ab"; }
+
+.fa-heart-pulse::before {
+  content: "\f21e"; }
+
+.fa-heartbeat::before {
+  content: "\f21e"; }
+
+.fa-people-carry-box::before {
+  content: "\f4ce"; }
+
+.fa-people-carry::before {
+  content: "\f4ce"; }
+
+.fa-temperature-high::before {
+  content: "\f769"; }
+
+.fa-microchip::before {
+  content: "\f2db"; }
+
+.fa-crown::before {
+  content: "\f521"; }
+
+.fa-weight-hanging::before {
+  content: "\f5cd"; }
+
+.fa-xmarks-lines::before {
+  content: "\e59a"; }
+
+.fa-file-prescription::before {
+  content: "\f572"; }
+
+.fa-weight-scale::before {
+  content: "\f496"; }
+
+.fa-weight::before {
+  content: "\f496"; }
+
+.fa-user-group::before {
+  content: "\f500"; }
+
+.fa-user-friends::before {
+  content: "\f500"; }
+
+.fa-arrow-up-a-z::before {
+  content: "\f15e"; }
+
+.fa-sort-alpha-up::before {
+  content: "\f15e"; }
+
+.fa-chess-knight::before {
+  content: "\f441"; }
+
+.fa-face-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-wheelchair::before {
+  content: "\f193"; }
+
+.fa-circle-arrow-up::before {
+  content: "\f0aa"; }
+
+.fa-arrow-circle-up::before {
+  content: "\f0aa"; }
+
+.fa-toggle-on::before {
+  content: "\f205"; }
+
+.fa-person-walking::before {
+  content: "\f554"; }
+
+.fa-walking::before {
+  content: "\f554"; }
+
+.fa-l::before {
+  content: "\4c"; }
+
+.fa-fire::before {
+  content: "\f06d"; }
+
+.fa-bed-pulse::before {
+  content: "\f487"; }
+
+.fa-procedures::before {
+  content: "\f487"; }
+
+.fa-shuttle-space::before {
+  content: "\f197"; }
+
+.fa-space-shuttle::before {
+  content: "\f197"; }
+
+.fa-face-laugh::before {
+  content: "\f599"; }
+
+.fa-laugh::before {
+  content: "\f599"; }
+
+.fa-folder-open::before {
+  content: "\f07c"; }
+
+.fa-heart-circle-plus::before {
+  content: "\e500"; }
+
+.fa-code-fork::before {
+  content: "\e13b"; }
+
+.fa-city::before {
+  content: "\f64f"; }
+
+.fa-microphone-lines::before {
+  content: "\f3c9"; }
+
+.fa-microphone-alt::before {
+  content: "\f3c9"; }
+
+.fa-pepper-hot::before {
+  content: "\f816"; }
+
+.fa-unlock::before {
+  content: "\f09c"; }
+
+.fa-colon-sign::before {
+  content: "\e140"; }
+
+.fa-headset::before {
+  content: "\f590"; }
+
+.fa-store-slash::before {
+  content: "\e071"; }
+
+.fa-road-circle-xmark::before {
+  content: "\e566"; }
+
+.fa-user-minus::before {
+  content: "\f503"; }
+
+.fa-mars-stroke-up::before {
+  content: "\f22a"; }
+
+.fa-mars-stroke-v::before {
+  content: "\f22a"; }
+
+.fa-champagne-glasses::before {
+  content: "\f79f"; }
+
+.fa-glass-cheers::before {
+  content: "\f79f"; }
+
+.fa-clipboard::before {
+  content: "\f328"; }
+
+.fa-house-circle-exclamation::before {
+  content: "\e50a"; }
+
+.fa-file-arrow-up::before {
+  content: "\f574"; }
+
+.fa-file-upload::before {
+  content: "\f574"; }
+
+.fa-wifi::before {
+  content: "\f1eb"; }
+
+.fa-wifi-3::before {
+  content: "\f1eb"; }
+
+.fa-wifi-strong::before {
+  content: "\f1eb"; }
+
+.fa-bath::before {
+  content: "\f2cd"; }
+
+.fa-bathtub::before {
+  content: "\f2cd"; }
+
+.fa-underline::before {
+  content: "\f0cd"; }
+
+.fa-user-pen::before {
+  content: "\f4ff"; }
+
+.fa-user-edit::before {
+  content: "\f4ff"; }
+
+.fa-signature::before {
+  content: "\f5b7"; }
+
+.fa-stroopwafel::before {
+  content: "\f551"; }
+
+.fa-bold::before {
+  content: "\f032"; }
+
+.fa-anchor-lock::before {
+  content: "\e4ad"; }
+
+.fa-building-ngo::before {
+  content: "\e4d7"; }
+
+.fa-manat-sign::before {
+  content: "\e1d5"; }
+
+.fa-not-equal::before {
+  content: "\f53e"; }
+
+.fa-border-top-left::before {
+  content: "\f853"; }
+
+.fa-border-style::before {
+  content: "\f853"; }
+
+.fa-map-location-dot::before {
+  content: "\f5a0"; }
+
+.fa-map-marked-alt::before {
+  content: "\f5a0"; }
+
+.fa-jedi::before {
+  content: "\f669"; }
+
+.fa-square-poll-vertical::before {
+  content: "\f681"; }
+
+.fa-poll::before {
+  content: "\f681"; }
+
+.fa-mug-hot::before {
+  content: "\f7b6"; }
+
+.fa-car-battery::before {
+  content: "\f5df"; }
+
+.fa-battery-car::before {
+  content: "\f5df"; }
+
+.fa-gift::before {
+  content: "\f06b"; }
+
+.fa-dice-two::before {
+  content: "\f528"; }
+
+.fa-chess-queen::before {
+  content: "\f445"; }
+
+.fa-glasses::before {
+  content: "\f530"; }
+
+.fa-chess-board::before {
+  content: "\f43c"; }
+
+.fa-building-circle-check::before {
+  content: "\e4d2"; }
+
+.fa-person-chalkboard::before {
+  content: "\e53d"; }
+
+.fa-mars-stroke-right::before {
+  content: "\f22b"; }
+
+.fa-mars-stroke-h::before {
+  content: "\f22b"; }
+
+.fa-hand-back-fist::before {
+  content: "\f255"; }
+
+.fa-hand-rock::before {
+  content: "\f255"; }
+
+.fa-square-caret-up::before {
+  content: "\f151"; }
+
+.fa-caret-square-up::before {
+  content: "\f151"; }
+
+.fa-cloud-showers-water::before {
+  content: "\e4e4"; }
+
+.fa-chart-bar::before {
+  content: "\f080"; }
+
+.fa-bar-chart::before {
+  content: "\f080"; }
+
+.fa-hands-bubbles::before {
+  content: "\e05e"; }
+
+.fa-hands-wash::before {
+  content: "\e05e"; }
+
+.fa-less-than-equal::before {
+  content: "\f537"; }
+
+.fa-train::before {
+  content: "\f238"; }
+
+.fa-eye-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-crow::before {
+  content: "\f520"; }
+
+.fa-sailboat::before {
+  content: "\e445"; }
+
+.fa-window-restore::before {
+  content: "\f2d2"; }
+
+.fa-square-plus::before {
+  content: "\f0fe"; }
+
+.fa-plus-square::before {
+  content: "\f0fe"; }
+
+.fa-torii-gate::before {
+  content: "\f6a1"; }
+
+.fa-frog::before {
+  content: "\f52e"; }
+
+.fa-bucket::before {
+  content: "\e4cf"; }
+
+.fa-image::before {
+  content: "\f03e"; }
+
+.fa-microphone::before {
+  content: "\f130"; }
+
+.fa-cow::before {
+  content: "\f6c8"; }
+
+.fa-caret-up::before {
+  content: "\f0d8"; }
+
+.fa-screwdriver::before {
+  content: "\f54a"; }
+
+.fa-folder-closed::before {
+  content: "\e185"; }
+
+.fa-house-tsunami::before {
+  content: "\e515"; }
+
+.fa-square-nfi::before {
+  content: "\e576"; }
+
+.fa-arrow-up-from-ground-water::before {
+  content: "\e4b5"; }
+
+.fa-martini-glass::before {
+  content: "\f57b"; }
+
+.fa-glass-martini-alt::before {
+  content: "\f57b"; }
+
+.fa-rotate-left::before {
+  content: "\f2ea"; }
+
+.fa-rotate-back::before {
+  content: "\f2ea"; }
+
+.fa-rotate-backward::before {
+  content: "\f2ea"; }
+
+.fa-undo-alt::before {
+  content: "\f2ea"; }
+
+.fa-table-columns::before {
+  content: "\f0db"; }
+
+.fa-columns::before {
+  content: "\f0db"; }
+
+.fa-lemon::before {
+  content: "\f094"; }
+
+.fa-head-side-mask::before {
+  content: "\e063"; }
+
+.fa-handshake::before {
+  content: "\f2b5"; }
+
+.fa-gem::before {
+  content: "\f3a5"; }
+
+.fa-dolly::before {
+  content: "\f472"; }
+
+.fa-dolly-box::before {
+  content: "\f472"; }
+
+.fa-smoking::before {
+  content: "\f48d"; }
+
+.fa-minimize::before {
+  content: "\f78c"; }
+
+.fa-compress-arrows-alt::before {
+  content: "\f78c"; }
+
+.fa-monument::before {
+  content: "\f5a6"; }
+
+.fa-snowplow::before {
+  content: "\f7d2"; }
+
+.fa-angles-right::before {
+  content: "\f101"; }
+
+.fa-angle-double-right::before {
+  content: "\f101"; }
+
+.fa-cannabis::before {
+  content: "\f55f"; }
+
+.fa-circle-play::before {
+  content: "\f144"; }
+
+.fa-play-circle::before {
+  content: "\f144"; }
+
+.fa-tablets::before {
+  content: "\f490"; }
+
+.fa-ethernet::before {
+  content: "\f796"; }
+
+.fa-euro-sign::before {
+  content: "\f153"; }
+
+.fa-eur::before {
+  content: "\f153"; }
+
+.fa-euro::before {
+  content: "\f153"; }
+
+.fa-chair::before {
+  content: "\f6c0"; }
+
+.fa-circle-check::before {
+  content: "\f058"; }
+
+.fa-check-circle::before {
+  content: "\f058"; }
+
+.fa-circle-stop::before {
+  content: "\f28d"; }
+
+.fa-stop-circle::before {
+  content: "\f28d"; }
+
+.fa-compass-drafting::before {
+  content: "\f568"; }
+
+.fa-drafting-compass::before {
+  content: "\f568"; }
+
+.fa-plate-wheat::before {
+  content: "\e55a"; }
+
+.fa-icicles::before {
+  content: "\f7ad"; }
+
+.fa-person-shelter::before {
+  content: "\e54f"; }
+
+.fa-neuter::before {
+  content: "\f22c"; }
+
+.fa-id-badge::before {
+  content: "\f2c1"; }
+
+.fa-marker::before {
+  content: "\f5a1"; }
+
+.fa-face-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-helicopter-symbol::before {
+  content: "\e502"; }
+
+.fa-universal-access::before {
+  content: "\f29a"; }
+
+.fa-circle-chevron-up::before {
+  content: "\f139"; }
+
+.fa-chevron-circle-up::before {
+  content: "\f139"; }
+
+.fa-lari-sign::before {
+  content: "\e1c8"; }
+
+.fa-volcano::before {
+  content: "\f770"; }
+
+.fa-person-walking-dashed-line-arrow-right::before {
+  content: "\e553"; }
+
+.fa-sterling-sign::before {
+  content: "\f154"; }
+
+.fa-gbp::before {
+  content: "\f154"; }
+
+.fa-pound-sign::before {
+  content: "\f154"; }
+
+.fa-viruses::before {
+  content: "\e076"; }
+
+.fa-square-person-confined::before {
+  content: "\e577"; }
+
+.fa-user-tie::before {
+  content: "\f508"; }
+
+.fa-arrow-down-long::before {
+  content: "\f175"; }
+
+.fa-long-arrow-down::before {
+  content: "\f175"; }
+
+.fa-tent-arrow-down-to-line::before {
+  content: "\e57e"; }
+
+.fa-certificate::before {
+  content: "\f0a3"; }
+
+.fa-reply-all::before {
+  content: "\f122"; }
+
+.fa-mail-reply-all::before {
+  content: "\f122"; }
+
+.fa-suitcase::before {
+  content: "\f0f2"; }
+
+.fa-person-skating::before {
+  content: "\f7c5"; }
+
+.fa-skating::before {
+  content: "\f7c5"; }
+
+.fa-filter-circle-dollar::before {
+  content: "\f662"; }
+
+.fa-funnel-dollar::before {
+  content: "\f662"; }
+
+.fa-camera-retro::before {
+  content: "\f083"; }
+
+.fa-circle-arrow-down::before {
+  content: "\f0ab"; }
+
+.fa-arrow-circle-down::before {
+  content: "\f0ab"; }
+
+.fa-file-import::before {
+  content: "\f56f"; }
+
+.fa-arrow-right-to-file::before {
+  content: "\f56f"; }
+
+.fa-square-arrow-up-right::before {
+  content: "\f14c"; }
+
+.fa-external-link-square::before {
+  content: "\f14c"; }
+
+.fa-box-open::before {
+  content: "\f49e"; }
+
+.fa-scroll::before {
+  content: "\f70e"; }
+
+.fa-spa::before {
+  content: "\f5bb"; }
+
+.fa-location-pin-lock::before {
+  content: "\e51f"; }
+
+.fa-pause::before {
+  content: "\f04c"; }
+
+.fa-hill-avalanche::before {
+  content: "\e507"; }
+
+.fa-temperature-empty::before {
+  content: "\f2cb"; }
+
+.fa-temperature-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-empty::before {
+  content: "\f2cb"; }
+
+.fa-bomb::before {
+  content: "\f1e2"; }
+
+.fa-registered::before {
+  content: "\f25d"; }
+
+.fa-address-card::before {
+  content: "\f2bb"; }
+
+.fa-contact-card::before {
+  content: "\f2bb"; }
+
+.fa-vcard::before {
+  content: "\f2bb"; }
+
+.fa-scale-unbalanced-flip::before {
+  content: "\f516"; }
+
+.fa-balance-scale-right::before {
+  content: "\f516"; }
+
+.fa-subscript::before {
+  content: "\f12c"; }
+
+.fa-diamond-turn-right::before {
+  content: "\f5eb"; }
+
+.fa-directions::before {
+  content: "\f5eb"; }
+
+.fa-burst::before {
+  content: "\e4dc"; }
+
+.fa-house-laptop::before {
+  content: "\e066"; }
+
+.fa-laptop-house::before {
+  content: "\e066"; }
+
+.fa-face-tired::before {
+  content: "\f5c8"; }
+
+.fa-tired::before {
+  content: "\f5c8"; }
+
+.fa-money-bills::before {
+  content: "\e1f3"; }
+
+.fa-smog::before {
+  content: "\f75f"; }
+
+.fa-crutch::before {
+  content: "\f7f7"; }
+
+.fa-cloud-arrow-up::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload-alt::before {
+  content: "\f0ee"; }
+
+.fa-palette::before {
+  content: "\f53f"; }
+
+.fa-arrows-turn-right::before {
+  content: "\e4c0"; }
+
+.fa-vest::before {
+  content: "\e085"; }
+
+.fa-ferry::before {
+  content: "\e4ea"; }
+
+.fa-arrows-down-to-people::before {
+  content: "\e4b9"; }
+
+.fa-seedling::before {
+  content: "\f4d8"; }
+
+.fa-sprout::before {
+  content: "\f4d8"; }
+
+.fa-left-right::before {
+  content: "\f337"; }
+
+.fa-arrows-alt-h::before {
+  content: "\f337"; }
+
+.fa-boxes-packing::before {
+  content: "\e4c7"; }
+
+.fa-circle-arrow-left::before {
+  content: "\f0a8"; }
+
+.fa-arrow-circle-left::before {
+  content: "\f0a8"; }
+
+.fa-group-arrows-rotate::before {
+  content: "\e4f6"; }
+
+.fa-bowl-food::before {
+  content: "\e4c6"; }
+
+.fa-candy-cane::before {
+  content: "\f786"; }
+
+.fa-arrow-down-wide-short::before {
+  content: "\f160"; }
+
+.fa-sort-amount-asc::before {
+  content: "\f160"; }
+
+.fa-sort-amount-down::before {
+  content: "\f160"; }
+
+.fa-cloud-bolt::before {
+  content: "\f76c"; }
+
+.fa-thunderstorm::before {
+  content: "\f76c"; }
+
+.fa-text-slash::before {
+  content: "\f87d"; }
+
+.fa-remove-format::before {
+  content: "\f87d"; }
+
+.fa-face-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-file-word::before {
+  content: "\f1c2"; }
+
+.fa-file-powerpoint::before {
+  content: "\f1c4"; }
+
+.fa-arrows-left-right::before {
+  content: "\f07e"; }
+
+.fa-arrows-h::before {
+  content: "\f07e"; }
+
+.fa-house-lock::before {
+  content: "\e510"; }
+
+.fa-cloud-arrow-down::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download-alt::before {
+  content: "\f0ed"; }
+
+.fa-children::before {
+  content: "\e4e1"; }
+
+.fa-chalkboard::before {
+  content: "\f51b"; }
+
+.fa-blackboard::before {
+  content: "\f51b"; }
+
+.fa-user-large-slash::before {
+  content: "\f4fa"; }
+
+.fa-user-alt-slash::before {
+  content: "\f4fa"; }
+
+.fa-envelope-open::before {
+  content: "\f2b6"; }
+
+.fa-handshake-simple-slash::before {
+  content: "\e05f"; }
+
+.fa-handshake-alt-slash::before {
+  content: "\e05f"; }
+
+.fa-mattress-pillow::before {
+  content: "\e525"; }
+
+.fa-guarani-sign::before {
+  content: "\e19a"; }
+
+.fa-arrows-rotate::before {
+  content: "\f021"; }
+
+.fa-refresh::before {
+  content: "\f021"; }
+
+.fa-sync::before {
+  content: "\f021"; }
+
+.fa-fire-extinguisher::before {
+  content: "\f134"; }
+
+.fa-cruzeiro-sign::before {
+  content: "\e152"; }
+
+.fa-greater-than-equal::before {
+  content: "\f532"; }
+
+.fa-shield-halved::before {
+  content: "\f3ed"; }
+
+.fa-shield-alt::before {
+  content: "\f3ed"; }
+
+.fa-book-atlas::before {
+  content: "\f558"; }
+
+.fa-atlas::before {
+  content: "\f558"; }
+
+.fa-virus::before {
+  content: "\e074"; }
+
+.fa-envelope-circle-check::before {
+  content: "\e4e8"; }
+
+.fa-layer-group::before {
+  content: "\f5fd"; }
+
+.fa-arrows-to-dot::before {
+  content: "\e4be"; }
+
+.fa-archway::before {
+  content: "\f557"; }
+
+.fa-heart-circle-check::before {
+  content: "\e4fd"; }
+
+.fa-house-chimney-crack::before {
+  content: "\f6f1"; }
+
+.fa-house-damage::before {
+  content: "\f6f1"; }
+
+.fa-file-zipper::before {
+  content: "\f1c6"; }
+
+.fa-file-archive::before {
+  content: "\f1c6"; }
+
+.fa-square::before {
+  content: "\f0c8"; }
+
+.fa-martini-glass-empty::before {
+  content: "\f000"; }
+
+.fa-glass-martini::before {
+  content: "\f000"; }
+
+.fa-couch::before {
+  content: "\f4b8"; }
+
+.fa-cedi-sign::before {
+  content: "\e0df"; }
+
+.fa-italic::before {
+  content: "\f033"; }
+
+.fa-table-cells-column-lock::before {
+  content: "\e678"; }
+
+.fa-church::before {
+  content: "\f51d"; }
+
+.fa-comments-dollar::before {
+  content: "\f653"; }
+
+.fa-democrat::before {
+  content: "\f747"; }
+
+.fa-z::before {
+  content: "\5a"; }
+
+.fa-person-skiing::before {
+  content: "\f7c9"; }
+
+.fa-skiing::before {
+  content: "\f7c9"; }
+
+.fa-road-lock::before {
+  content: "\e567"; }
+
+.fa-a::before {
+  content: "\41"; }
+
+.fa-temperature-arrow-down::before {
+  content: "\e03f"; }
+
+.fa-temperature-down::before {
+  content: "\e03f"; }
+
+.fa-feather-pointed::before {
+  content: "\f56b"; }
+
+.fa-feather-alt::before {
+  content: "\f56b"; }
+
+.fa-p::before {
+  content: "\50"; }
+
+.fa-snowflake::before {
+  content: "\f2dc"; }
+
+.fa-newspaper::before {
+  content: "\f1ea"; }
+
+.fa-rectangle-ad::before {
+  content: "\f641"; }
+
+.fa-ad::before {
+  content: "\f641"; }
+
+.fa-circle-arrow-right::before {
+  content: "\f0a9"; }
+
+.fa-arrow-circle-right::before {
+  content: "\f0a9"; }
+
+.fa-filter-circle-xmark::before {
+  content: "\e17b"; }
+
+.fa-locust::before {
+  content: "\e520"; }
+
+.fa-sort::before {
+  content: "\f0dc"; }
+
+.fa-unsorted::before {
+  content: "\f0dc"; }
+
+.fa-list-ol::before {
+  content: "\f0cb"; }
+
+.fa-list-1-2::before {
+  content: "\f0cb"; }
+
+.fa-list-numeric::before {
+  content: "\f0cb"; }
+
+.fa-person-dress-burst::before {
+  content: "\e544"; }
+
+.fa-money-check-dollar::before {
+  content: "\f53d"; }
+
+.fa-money-check-alt::before {
+  content: "\f53d"; }
+
+.fa-vector-square::before {
+  content: "\f5cb"; }
+
+.fa-bread-slice::before {
+  content: "\f7ec"; }
+
+.fa-language::before {
+  content: "\f1ab"; }
+
+.fa-face-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-filter::before {
+  content: "\f0b0"; }
+
+.fa-question::before {
+  content: "\3f"; }
+
+.fa-file-signature::before {
+  content: "\f573"; }
+
+.fa-up-down-left-right::before {
+  content: "\f0b2"; }
+
+.fa-arrows-alt::before {
+  content: "\f0b2"; }
+
+.fa-house-chimney-user::before {
+  content: "\e065"; }
+
+.fa-hand-holding-heart::before {
+  content: "\f4be"; }
+
+.fa-puzzle-piece::before {
+  content: "\f12e"; }
+
+.fa-money-check::before {
+  content: "\f53c"; }
+
+.fa-star-half-stroke::before {
+  content: "\f5c0"; }
+
+.fa-star-half-alt::before {
+  content: "\f5c0"; }
+
+.fa-code::before {
+  content: "\f121"; }
+
+.fa-whiskey-glass::before {
+  content: "\f7a0"; }
+
+.fa-glass-whiskey::before {
+  content: "\f7a0"; }
+
+.fa-building-circle-exclamation::before {
+  content: "\e4d3"; }
+
+.fa-magnifying-glass-chart::before {
+  content: "\e522"; }
+
+.fa-arrow-up-right-from-square::before {
+  content: "\f08e"; }
+
+.fa-external-link::before {
+  content: "\f08e"; }
+
+.fa-cubes-stacked::before {
+  content: "\e4e6"; }
+
+.fa-won-sign::before {
+  content: "\f159"; }
+
+.fa-krw::before {
+  content: "\f159"; }
+
+.fa-won::before {
+  content: "\f159"; }
+
+.fa-virus-covid::before {
+  content: "\e4a8"; }
+
+.fa-austral-sign::before {
+  content: "\e0a9"; }
+
+.fa-f::before {
+  content: "\46"; }
+
+.fa-leaf::before {
+  content: "\f06c"; }
+
+.fa-road::before {
+  content: "\f018"; }
+
+.fa-taxi::before {
+  content: "\f1ba"; }
+
+.fa-cab::before {
+  content: "\f1ba"; }
+
+.fa-person-circle-plus::before {
+  content: "\e541"; }
+
+.fa-chart-pie::before {
+  content: "\f200"; }
+
+.fa-pie-chart::before {
+  content: "\f200"; }
+
+.fa-bolt-lightning::before {
+  content: "\e0b7"; }
+
+.fa-sack-xmark::before {
+  content: "\e56a"; }
+
+.fa-file-excel::before {
+  content: "\f1c3"; }
+
+.fa-file-contract::before {
+  content: "\f56c"; }
+
+.fa-fish-fins::before {
+  content: "\e4f2"; }
+
+.fa-building-flag::before {
+  content: "\e4d5"; }
+
+.fa-face-grin-beam::before {
+  content: "\f582"; }
+
+.fa-grin-beam::before {
+  content: "\f582"; }
+
+.fa-object-ungroup::before {
+  content: "\f248"; }
+
+.fa-poop::before {
+  content: "\f619"; }
+
+.fa-location-pin::before {
+  content: "\f041"; }
+
+.fa-map-marker::before {
+  content: "\f041"; }
+
+.fa-kaaba::before {
+  content: "\f66b"; }
+
+.fa-toilet-paper::before {
+  content: "\f71e"; }
+
+.fa-helmet-safety::before {
+  content: "\f807"; }
+
+.fa-hard-hat::before {
+  content: "\f807"; }
+
+.fa-hat-hard::before {
+  content: "\f807"; }
+
+.fa-eject::before {
+  content: "\f052"; }
+
+.fa-circle-right::before {
+  content: "\f35a"; }
+
+.fa-arrow-alt-circle-right::before {
+  content: "\f35a"; }
+
+.fa-plane-circle-check::before {
+  content: "\e555"; }
+
+.fa-face-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-meh-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-object-group::before {
+  content: "\f247"; }
+
+.fa-chart-line::before {
+  content: "\f201"; }
+
+.fa-line-chart::before {
+  content: "\f201"; }
+
+.fa-mask-ventilator::before {
+  content: "\e524"; }
+
+.fa-arrow-right::before {
+  content: "\f061"; }
+
+.fa-signs-post::before {
+  content: "\f277"; }
+
+.fa-map-signs::before {
+  content: "\f277"; }
+
+.fa-cash-register::before {
+  content: "\f788"; }
+
+.fa-person-circle-question::before {
+  content: "\e542"; }
+
+.fa-h::before {
+  content: "\48"; }
+
+.fa-tarp::before {
+  content: "\e57b"; }
+
+.fa-screwdriver-wrench::before {
+  content: "\f7d9"; }
+
+.fa-tools::before {
+  content: "\f7d9"; }
+
+.fa-arrows-to-eye::before {
+  content: "\e4bf"; }
+
+.fa-plug-circle-bolt::before {
+  content: "\e55b"; }
+
+.fa-heart::before {
+  content: "\f004"; }
+
+.fa-mars-and-venus::before {
+  content: "\f224"; }
+
+.fa-house-user::before {
+  content: "\e1b0"; }
+
+.fa-home-user::before {
+  content: "\e1b0"; }
+
+.fa-dumpster-fire::before {
+  content: "\f794"; }
+
+.fa-house-crack::before {
+  content: "\e3b1"; }
+
+.fa-martini-glass-citrus::before {
+  content: "\f561"; }
+
+.fa-cocktail::before {
+  content: "\f561"; }
+
+.fa-face-surprise::before {
+  content: "\f5c2"; }
+
+.fa-surprise::before {
+  content: "\f5c2"; }
+
+.fa-bottle-water::before {
+  content: "\e4c5"; }
+
+.fa-circle-pause::before {
+  content: "\f28b"; }
+
+.fa-pause-circle::before {
+  content: "\f28b"; }
+
+.fa-toilet-paper-slash::before {
+  content: "\e072"; }
+
+.fa-apple-whole::before {
+  content: "\f5d1"; }
+
+.fa-apple-alt::before {
+  content: "\f5d1"; }
+
+.fa-kitchen-set::before {
+  content: "\e51a"; }
+
+.fa-r::before {
+  content: "\52"; }
+
+.fa-temperature-quarter::before {
+  content: "\f2ca"; }
+
+.fa-temperature-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-quarter::before {
+  content: "\f2ca"; }
+
+.fa-cube::before {
+  content: "\f1b2"; }
+
+.fa-bitcoin-sign::before {
+  content: "\e0b4"; }
+
+.fa-shield-dog::before {
+  content: "\e573"; }
+
+.fa-solar-panel::before {
+  content: "\f5ba"; }
+
+.fa-lock-open::before {
+  content: "\f3c1"; }
+
+.fa-elevator::before {
+  content: "\e16d"; }
+
+.fa-money-bill-transfer::before {
+  content: "\e528"; }
+
+.fa-money-bill-trend-up::before {
+  content: "\e529"; }
+
+.fa-house-flood-water-circle-arrow-right::before {
+  content: "\e50f"; }
+
+.fa-square-poll-horizontal::before {
+  content: "\f682"; }
+
+.fa-poll-h::before {
+  content: "\f682"; }
+
+.fa-circle::before {
+  content: "\f111"; }
+
+.fa-backward-fast::before {
+  content: "\f049"; }
+
+.fa-fast-backward::before {
+  content: "\f049"; }
+
+.fa-recycle::before {
+  content: "\f1b8"; }
+
+.fa-user-astronaut::before {
+  content: "\f4fb"; }
+
+.fa-plane-slash::before {
+  content: "\e069"; }
+
+.fa-trademark::before {
+  content: "\f25c"; }
+
+.fa-basketball::before {
+  content: "\f434"; }
+
+.fa-basketball-ball::before {
+  content: "\f434"; }
+
+.fa-satellite-dish::before {
+  content: "\f7c0"; }
+
+.fa-circle-up::before {
+  content: "\f35b"; }
+
+.fa-arrow-alt-circle-up::before {
+  content: "\f35b"; }
+
+.fa-mobile-screen-button::before {
+  content: "\f3cd"; }
+
+.fa-mobile-alt::before {
+  content: "\f3cd"; }
+
+.fa-volume-high::before {
+  content: "\f028"; }
+
+.fa-volume-up::before {
+  content: "\f028"; }
+
+.fa-users-rays::before {
+  content: "\e593"; }
+
+.fa-wallet::before {
+  content: "\f555"; }
+
+.fa-clipboard-check::before {
+  content: "\f46c"; }
+
+.fa-file-audio::before {
+  content: "\f1c7"; }
+
+.fa-burger::before {
+  content: "\f805"; }
+
+.fa-hamburger::before {
+  content: "\f805"; }
+
+.fa-wrench::before {
+  content: "\f0ad"; }
+
+.fa-bugs::before {
+  content: "\e4d0"; }
+
+.fa-rupee-sign::before {
+  content: "\f156"; }
+
+.fa-rupee::before {
+  content: "\f156"; }
+
+.fa-file-image::before {
+  content: "\f1c5"; }
+
+.fa-circle-question::before {
+  content: "\f059"; }
+
+.fa-question-circle::before {
+  content: "\f059"; }
+
+.fa-plane-departure::before {
+  content: "\f5b0"; }
+
+.fa-handshake-slash::before {
+  content: "\e060"; }
+
+.fa-book-bookmark::before {
+  content: "\e0bb"; }
+
+.fa-code-branch::before {
+  content: "\f126"; }
+
+.fa-hat-cowboy::before {
+  content: "\f8c0"; }
+
+.fa-bridge::before {
+  content: "\e4c8"; }
+
+.fa-phone-flip::before {
+  content: "\f879"; }
+
+.fa-phone-alt::before {
+  content: "\f879"; }
+
+.fa-truck-front::before {
+  content: "\e2b7"; }
+
+.fa-cat::before {
+  content: "\f6be"; }
+
+.fa-anchor-circle-exclamation::before {
+  content: "\e4ab"; }
+
+.fa-truck-field::before {
+  content: "\e58d"; }
+
+.fa-route::before {
+  content: "\f4d7"; }
+
+.fa-clipboard-question::before {
+  content: "\e4e3"; }
+
+.fa-panorama::before {
+  content: "\e209"; }
+
+.fa-comment-medical::before {
+  content: "\f7f5"; }
+
+.fa-teeth-open::before {
+  content: "\f62f"; }
+
+.fa-file-circle-minus::before {
+  content: "\e4ed"; }
+
+.fa-tags::before {
+  content: "\f02c"; }
+
+.fa-wine-glass::before {
+  content: "\f4e3"; }
+
+.fa-forward-fast::before {
+  content: "\f050"; }
+
+.fa-fast-forward::before {
+  content: "\f050"; }
+
+.fa-face-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-square-parking::before {
+  content: "\f540"; }
+
+.fa-parking::before {
+  content: "\f540"; }
+
+.fa-house-signal::before {
+  content: "\e012"; }
+
+.fa-bars-progress::before {
+  content: "\f828"; }
+
+.fa-tasks-alt::before {
+  content: "\f828"; }
+
+.fa-faucet-drip::before {
+  content: "\e006"; }
+
+.fa-cart-flatbed::before {
+  content: "\f474"; }
+
+.fa-dolly-flatbed::before {
+  content: "\f474"; }
+
+.fa-ban-smoking::before {
+  content: "\f54d"; }
+
+.fa-smoking-ban::before {
+  content: "\f54d"; }
+
+.fa-terminal::before {
+  content: "\f120"; }
+
+.fa-mobile-button::before {
+  content: "\f10b"; }
+
+.fa-house-medical-flag::before {
+  content: "\e514"; }
+
+.fa-basket-shopping::before {
+  content: "\f291"; }
+
+.fa-shopping-basket::before {
+  content: "\f291"; }
+
+.fa-tape::before {
+  content: "\f4db"; }
+
+.fa-bus-simple::before {
+  content: "\f55e"; }
+
+.fa-bus-alt::before {
+  content: "\f55e"; }
+
+.fa-eye::before {
+  content: "\f06e"; }
+
+.fa-face-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-audio-description::before {
+  content: "\f29e"; }
+
+.fa-person-military-to-person::before {
+  content: "\e54c"; }
+
+.fa-file-shield::before {
+  content: "\e4f0"; }
+
+.fa-user-slash::before {
+  content: "\f506"; }
+
+.fa-pen::before {
+  content: "\f304"; }
+
+.fa-tower-observation::before {
+  content: "\e586"; }
+
+.fa-file-code::before {
+  content: "\f1c9"; }
+
+.fa-signal::before {
+  content: "\f012"; }
+
+.fa-signal-5::before {
+  content: "\f012"; }
+
+.fa-signal-perfect::before {
+  content: "\f012"; }
+
+.fa-bus::before {
+  content: "\f207"; }
+
+.fa-heart-circle-xmark::before {
+  content: "\e501"; }
+
+.fa-house-chimney::before {
+  content: "\e3af"; }
+
+.fa-home-lg::before {
+  content: "\e3af"; }
+
+.fa-window-maximize::before {
+  content: "\f2d0"; }
+
+.fa-face-frown::before {
+  content: "\f119"; }
+
+.fa-frown::before {
+  content: "\f119"; }
+
+.fa-prescription::before {
+  content: "\f5b1"; }
+
+.fa-shop::before {
+  content: "\f54f"; }
+
+.fa-store-alt::before {
+  content: "\f54f"; }
+
+.fa-floppy-disk::before {
+  content: "\f0c7"; }
+
+.fa-save::before {
+  content: "\f0c7"; }
+
+.fa-vihara::before {
+  content: "\f6a7"; }
+
+.fa-scale-unbalanced::before {
+  content: "\f515"; }
+
+.fa-balance-scale-left::before {
+  content: "\f515"; }
+
+.fa-sort-up::before {
+  content: "\f0de"; }
+
+.fa-sort-asc::before {
+  content: "\f0de"; }
+
+.fa-comment-dots::before {
+  content: "\f4ad"; }
+
+.fa-commenting::before {
+  content: "\f4ad"; }
+
+.fa-plant-wilt::before {
+  content: "\e5aa"; }
+
+.fa-diamond::before {
+  content: "\f219"; }
+
+.fa-face-grin-squint::before {
+  content: "\f585"; }
+
+.fa-grin-squint::before {
+  content: "\f585"; }
+
+.fa-hand-holding-dollar::before {
+  content: "\f4c0"; }
+
+.fa-hand-holding-usd::before {
+  content: "\f4c0"; }
+
+.fa-bacterium::before {
+  content: "\e05a"; }
+
+.fa-hand-pointer::before {
+  content: "\f25a"; }
+
+.fa-drum-steelpan::before {
+  content: "\f56a"; }
+
+.fa-hand-scissors::before {
+  content: "\f257"; }
+
+.fa-hands-praying::before {
+  content: "\f684"; }
+
+.fa-praying-hands::before {
+  content: "\f684"; }
+
+.fa-arrow-rotate-right::before {
+  content: "\f01e"; }
+
+.fa-arrow-right-rotate::before {
+  content: "\f01e"; }
+
+.fa-arrow-rotate-forward::before {
+  content: "\f01e"; }
+
+.fa-redo::before {
+  content: "\f01e"; }
+
+.fa-biohazard::before {
+  content: "\f780"; }
+
+.fa-location-crosshairs::before {
+  content: "\f601"; }
+
+.fa-location::before {
+  content: "\f601"; }
+
+.fa-mars-double::before {
+  content: "\f227"; }
+
+.fa-child-dress::before {
+  content: "\e59c"; }
+
+.fa-users-between-lines::before {
+  content: "\e591"; }
+
+.fa-lungs-virus::before {
+  content: "\e067"; }
+
+.fa-face-grin-tears::before {
+  content: "\f588"; }
+
+.fa-grin-tears::before {
+  content: "\f588"; }
+
+.fa-phone::before {
+  content: "\f095"; }
+
+.fa-calendar-xmark::before {
+  content: "\f273"; }
+
+.fa-calendar-times::before {
+  content: "\f273"; }
+
+.fa-child-reaching::before {
+  content: "\e59d"; }
+
+.fa-head-side-virus::before {
+  content: "\e064"; }
+
+.fa-user-gear::before {
+  content: "\f4fe"; }
+
+.fa-user-cog::before {
+  content: "\f4fe"; }
+
+.fa-arrow-up-1-9::before {
+  content: "\f163"; }
+
+.fa-sort-numeric-up::before {
+  content: "\f163"; }
+
+.fa-door-closed::before {
+  content: "\f52a"; }
+
+.fa-shield-virus::before {
+  content: "\e06c"; }
+
+.fa-dice-six::before {
+  content: "\f526"; }
+
+.fa-mosquito-net::before {
+  content: "\e52c"; }
+
+.fa-bridge-water::before {
+  content: "\e4ce"; }
+
+.fa-person-booth::before {
+  content: "\f756"; }
+
+.fa-text-width::before {
+  content: "\f035"; }
+
+.fa-hat-wizard::before {
+  content: "\f6e8"; }
+
+.fa-pen-fancy::before {
+  content: "\f5ac"; }
+
+.fa-person-digging::before {
+  content: "\f85e"; }
+
+.fa-digging::before {
+  content: "\f85e"; }
+
+.fa-trash::before {
+  content: "\f1f8"; }
+
+.fa-gauge-simple::before {
+  content: "\f629"; }
+
+.fa-gauge-simple-med::before {
+  content: "\f629"; }
+
+.fa-tachometer-average::before {
+  content: "\f629"; }
+
+.fa-book-medical::before {
+  content: "\f7e6"; }
+
+.fa-poo::before {
+  content: "\f2fe"; }
+
+.fa-quote-right::before {
+  content: "\f10e"; }
+
+.fa-quote-right-alt::before {
+  content: "\f10e"; }
+
+.fa-shirt::before {
+  content: "\f553"; }
+
+.fa-t-shirt::before {
+  content: "\f553"; }
+
+.fa-tshirt::before {
+  content: "\f553"; }
+
+.fa-cubes::before {
+  content: "\f1b3"; }
+
+.fa-divide::before {
+  content: "\f529"; }
+
+.fa-tenge-sign::before {
+  content: "\f7d7"; }
+
+.fa-tenge::before {
+  content: "\f7d7"; }
+
+.fa-headphones::before {
+  content: "\f025"; }
+
+.fa-hands-holding::before {
+  content: "\f4c2"; }
+
+.fa-hands-clapping::before {
+  content: "\e1a8"; }
+
+.fa-republican::before {
+  content: "\f75e"; }
+
+.fa-arrow-left::before {
+  content: "\f060"; }
+
+.fa-person-circle-xmark::before {
+  content: "\e543"; }
+
+.fa-ruler::before {
+  content: "\f545"; }
+
+.fa-align-left::before {
+  content: "\f036"; }
+
+.fa-dice-d6::before {
+  content: "\f6d1"; }
+
+.fa-restroom::before {
+  content: "\f7bd"; }
+
+.fa-j::before {
+  content: "\4a"; }
+
+.fa-users-viewfinder::before {
+  content: "\e595"; }
+
+.fa-file-video::before {
+  content: "\f1c8"; }
+
+.fa-up-right-from-square::before {
+  content: "\f35d"; }
+
+.fa-external-link-alt::before {
+  content: "\f35d"; }
+
+.fa-table-cells::before {
+  content: "\f00a"; }
+
+.fa-th::before {
+  content: "\f00a"; }
+
+.fa-file-pdf::before {
+  content: "\f1c1"; }
+
+.fa-book-bible::before {
+  content: "\f647"; }
+
+.fa-bible::before {
+  content: "\f647"; }
+
+.fa-o::before {
+  content: "\4f"; }
+
+.fa-suitcase-medical::before {
+  content: "\f0fa"; }
+
+.fa-medkit::before {
+  content: "\f0fa"; }
+
+.fa-user-secret::before {
+  content: "\f21b"; }
+
+.fa-otter::before {
+  content: "\f700"; }
+
+.fa-person-dress::before {
+  content: "\f182"; }
+
+.fa-female::before {
+  content: "\f182"; }
+
+.fa-comment-dollar::before {
+  content: "\f651"; }
+
+.fa-business-time::before {
+  content: "\f64a"; }
+
+.fa-briefcase-clock::before {
+  content: "\f64a"; }
+
+.fa-table-cells-large::before {
+  content: "\f009"; }
+
+.fa-th-large::before {
+  content: "\f009"; }
+
+.fa-book-tanakh::before {
+  content: "\f827"; }
+
+.fa-tanakh::before {
+  content: "\f827"; }
+
+.fa-phone-volume::before {
+  content: "\f2a0"; }
+
+.fa-volume-control-phone::before {
+  content: "\f2a0"; }
+
+.fa-hat-cowboy-side::before {
+  content: "\f8c1"; }
+
+.fa-clipboard-user::before {
+  content: "\f7f3"; }
+
+.fa-child::before {
+  content: "\f1ae"; }
+
+.fa-lira-sign::before {
+  content: "\f195"; }
+
+.fa-satellite::before {
+  content: "\f7bf"; }
+
+.fa-plane-lock::before {
+  content: "\e558"; }
+
+.fa-tag::before {
+  content: "\f02b"; }
+
+.fa-comment::before {
+  content: "\f075"; }
+
+.fa-cake-candles::before {
+  content: "\f1fd"; }
+
+.fa-birthday-cake::before {
+  content: "\f1fd"; }
+
+.fa-cake::before {
+  content: "\f1fd"; }
+
+.fa-envelope::before {
+  content: "\f0e0"; }
+
+.fa-angles-up::before {
+  content: "\f102"; }
+
+.fa-angle-double-up::before {
+  content: "\f102"; }
+
+.fa-paperclip::before {
+  content: "\f0c6"; }
+
+.fa-arrow-right-to-city::before {
+  content: "\e4b3"; }
+
+.fa-ribbon::before {
+  content: "\f4d6"; }
+
+.fa-lungs::before {
+  content: "\f604"; }
+
+.fa-arrow-up-9-1::before {
+  content: "\f887"; }
+
+.fa-sort-numeric-up-alt::before {
+  content: "\f887"; }
+
+.fa-litecoin-sign::before {
+  content: "\e1d3"; }
+
+.fa-border-none::before {
+  content: "\f850"; }
+
+.fa-circle-nodes::before {
+  content: "\e4e2"; }
+
+.fa-parachute-box::before {
+  content: "\f4cd"; }
+
+.fa-indent::before {
+  content: "\f03c"; }
+
+.fa-truck-field-un::before {
+  content: "\e58e"; }
+
+.fa-hourglass::before {
+  content: "\f254"; }
+
+.fa-hourglass-empty::before {
+  content: "\f254"; }
+
+.fa-mountain::before {
+  content: "\f6fc"; }
+
+.fa-user-doctor::before {
+  content: "\f0f0"; }
+
+.fa-user-md::before {
+  content: "\f0f0"; }
+
+.fa-circle-info::before {
+  content: "\f05a"; }
+
+.fa-info-circle::before {
+  content: "\f05a"; }
+
+.fa-cloud-meatball::before {
+  content: "\f73b"; }
+
+.fa-camera::before {
+  content: "\f030"; }
+
+.fa-camera-alt::before {
+  content: "\f030"; }
+
+.fa-square-virus::before {
+  content: "\e578"; }
+
+.fa-meteor::before {
+  content: "\f753"; }
+
+.fa-car-on::before {
+  content: "\e4dd"; }
+
+.fa-sleigh::before {
+  content: "\f7cc"; }
+
+.fa-arrow-down-1-9::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-asc::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-down::before {
+  content: "\f162"; }
+
+.fa-hand-holding-droplet::before {
+  content: "\f4c1"; }
+
+.fa-hand-holding-water::before {
+  content: "\f4c1"; }
+
+.fa-water::before {
+  content: "\f773"; }
+
+.fa-calendar-check::before {
+  content: "\f274"; }
+
+.fa-braille::before {
+  content: "\f2a1"; }
+
+.fa-prescription-bottle-medical::before {
+  content: "\f486"; }
+
+.fa-prescription-bottle-alt::before {
+  content: "\f486"; }
+
+.fa-landmark::before {
+  content: "\f66f"; }
+
+.fa-truck::before {
+  content: "\f0d1"; }
+
+.fa-crosshairs::before {
+  content: "\f05b"; }
+
+.fa-person-cane::before {
+  content: "\e53c"; }
+
+.fa-tent::before {
+  content: "\e57d"; }
+
+.fa-vest-patches::before {
+  content: "\e086"; }
+
+.fa-check-double::before {
+  content: "\f560"; }
+
+.fa-arrow-down-a-z::before {
+  content: "\f15d"; }
+
+.fa-sort-alpha-asc::before {
+  content: "\f15d"; }
+
+.fa-sort-alpha-down::before {
+  content: "\f15d"; }
+
+.fa-money-bill-wheat::before {
+  content: "\e52a"; }
+
+.fa-cookie::before {
+  content: "\f563"; }
+
+.fa-arrow-rotate-left::before {
+  content: "\f0e2"; }
+
+.fa-arrow-left-rotate::before {
+  content: "\f0e2"; }
+
+.fa-arrow-rotate-back::before {
+  content: "\f0e2"; }
+
+.fa-arrow-rotate-backward::before {
+  content: "\f0e2"; }
+
+.fa-undo::before {
+  content: "\f0e2"; }
+
+.fa-hard-drive::before {
+  content: "\f0a0"; }
+
+.fa-hdd::before {
+  content: "\f0a0"; }
+
+.fa-face-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-dumbbell::before {
+  content: "\f44b"; }
+
+.fa-rectangle-list::before {
+  content: "\f022"; }
+
+.fa-list-alt::before {
+  content: "\f022"; }
+
+.fa-tarp-droplet::before {
+  content: "\e57c"; }
+
+.fa-house-medical-circle-check::before {
+  content: "\e511"; }
+
+.fa-person-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-calendar-plus::before {
+  content: "\f271"; }
+
+.fa-plane-arrival::before {
+  content: "\f5af"; }
+
+.fa-circle-left::before {
+  content: "\f359"; }
+
+.fa-arrow-alt-circle-left::before {
+  content: "\f359"; }
+
+.fa-train-subway::before {
+  content: "\f239"; }
+
+.fa-subway::before {
+  content: "\f239"; }
+
+.fa-chart-gantt::before {
+  content: "\e0e4"; }
+
+.fa-indian-rupee-sign::before {
+  content: "\e1bc"; }
+
+.fa-indian-rupee::before {
+  content: "\e1bc"; }
+
+.fa-inr::before {
+  content: "\e1bc"; }
+
+.fa-crop-simple::before {
+  content: "\f565"; }
+
+.fa-crop-alt::before {
+  content: "\f565"; }
+
+.fa-money-bill-1::before {
+  content: "\f3d1"; }
+
+.fa-money-bill-alt::before {
+  content: "\f3d1"; }
+
+.fa-left-long::before {
+  content: "\f30a"; }
+
+.fa-long-arrow-alt-left::before {
+  content: "\f30a"; }
+
+.fa-dna::before {
+  content: "\f471"; }
+
+.fa-virus-slash::before {
+  content: "\e075"; }
+
+.fa-minus::before {
+  content: "\f068"; }
+
+.fa-subtract::before {
+  content: "\f068"; }
+
+.fa-chess::before {
+  content: "\f439"; }
+
+.fa-arrow-left-long::before {
+  content: "\f177"; }
+
+.fa-long-arrow-left::before {
+  content: "\f177"; }
+
+.fa-plug-circle-check::before {
+  content: "\e55c"; }
+
+.fa-street-view::before {
+  content: "\f21d"; }
+
+.fa-franc-sign::before {
+  content: "\e18f"; }
+
+.fa-volume-off::before {
+  content: "\f026"; }
+
+.fa-hands-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-hands-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-gear::before {
+  content: "\f013"; }
+
+.fa-cog::before {
+  content: "\f013"; }
+
+.fa-droplet-slash::before {
+  content: "\f5c7"; }
+
+.fa-tint-slash::before {
+  content: "\f5c7"; }
+
+.fa-mosque::before {
+  content: "\f678"; }
+
+.fa-mosquito::before {
+  content: "\e52b"; }
+
+.fa-star-of-david::before {
+  content: "\f69a"; }
+
+.fa-person-military-rifle::before {
+  content: "\e54b"; }
+
+.fa-cart-shopping::before {
+  content: "\f07a"; }
+
+.fa-shopping-cart::before {
+  content: "\f07a"; }
+
+.fa-vials::before {
+  content: "\f493"; }
+
+.fa-plug-circle-plus::before {
+  content: "\e55f"; }
+
+.fa-place-of-worship::before {
+  content: "\f67f"; }
+
+.fa-grip-vertical::before {
+  content: "\f58e"; }
+
+.fa-arrow-turn-up::before {
+  content: "\f148"; }
+
+.fa-level-up::before {
+  content: "\f148"; }
+
+.fa-u::before {
+  content: "\55"; }
+
+.fa-square-root-variable::before {
+  content: "\f698"; }
+
+.fa-square-root-alt::before {
+  content: "\f698"; }
+
+.fa-clock::before {
+  content: "\f017"; }
+
+.fa-clock-four::before {
+  content: "\f017"; }
+
+.fa-backward-step::before {
+  content: "\f048"; }
+
+.fa-step-backward::before {
+  content: "\f048"; }
+
+.fa-pallet::before {
+  content: "\f482"; }
+
+.fa-faucet::before {
+  content: "\e005"; }
+
+.fa-baseball-bat-ball::before {
+  content: "\f432"; }
+
+.fa-s::before {
+  content: "\53"; }
+
+.fa-timeline::before {
+  content: "\e29c"; }
+
+.fa-keyboard::before {
+  content: "\f11c"; }
+
+.fa-caret-down::before {
+  content: "\f0d7"; }
+
+.fa-house-chimney-medical::before {
+  content: "\f7f2"; }
+
+.fa-clinic-medical::before {
+  content: "\f7f2"; }
+
+.fa-temperature-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-temperature-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-mobile-screen::before {
+  content: "\f3cf"; }
+
+.fa-mobile-android-alt::before {
+  content: "\f3cf"; }
+
+.fa-plane-up::before {
+  content: "\e22d"; }
+
+.fa-piggy-bank::before {
+  content: "\f4d3"; }
+
+.fa-battery-half::before {
+  content: "\f242"; }
+
+.fa-battery-3::before {
+  content: "\f242"; }
+
+.fa-mountain-city::before {
+  content: "\e52e"; }
+
+.fa-coins::before {
+  content: "\f51e"; }
+
+.fa-khanda::before {
+  content: "\f66d"; }
+
+.fa-sliders::before {
+  content: "\f1de"; }
+
+.fa-sliders-h::before {
+  content: "\f1de"; }
+
+.fa-folder-tree::before {
+  content: "\f802"; }
+
+.fa-network-wired::before {
+  content: "\f6ff"; }
+
+.fa-map-pin::before {
+  content: "\f276"; }
+
+.fa-hamsa::before {
+  content: "\f665"; }
+
+.fa-cent-sign::before {
+  content: "\e3f5"; }
+
+.fa-flask::before {
+  content: "\f0c3"; }
+
+.fa-person-pregnant::before {
+  content: "\e31e"; }
+
+.fa-wand-sparkles::before {
+  content: "\f72b"; }
+
+.fa-ellipsis-vertical::before {
+  content: "\f142"; }
+
+.fa-ellipsis-v::before {
+  content: "\f142"; }
+
+.fa-ticket::before {
+  content: "\f145"; }
+
+.fa-power-off::before {
+  content: "\f011"; }
+
+.fa-right-long::before {
+  content: "\f30b"; }
+
+.fa-long-arrow-alt-right::before {
+  content: "\f30b"; }
+
+.fa-flag-usa::before {
+  content: "\f74d"; }
+
+.fa-laptop-file::before {
+  content: "\e51d"; }
+
+.fa-tty::before {
+  content: "\f1e4"; }
+
+.fa-teletype::before {
+  content: "\f1e4"; }
+
+.fa-diagram-next::before {
+  content: "\e476"; }
+
+.fa-person-rifle::before {
+  content: "\e54e"; }
+
+.fa-house-medical-circle-exclamation::before {
+  content: "\e512"; }
+
+.fa-closed-captioning::before {
+  content: "\f20a"; }
+
+.fa-person-hiking::before {
+  content: "\f6ec"; }
+
+.fa-hiking::before {
+  content: "\f6ec"; }
+
+.fa-venus-double::before {
+  content: "\f226"; }
+
+.fa-images::before {
+  content: "\f302"; }
+
+.fa-calculator::before {
+  content: "\f1ec"; }
+
+.fa-people-pulling::before {
+  content: "\e535"; }
+
+.fa-n::before {
+  content: "\4e"; }
+
+.fa-cable-car::before {
+  content: "\f7da"; }
+
+.fa-tram::before {
+  content: "\f7da"; }
+
+.fa-cloud-rain::before {
+  content: "\f73d"; }
+
+.fa-building-circle-xmark::before {
+  content: "\e4d4"; }
+
+.fa-ship::before {
+  content: "\f21a"; }
+
+.fa-arrows-down-to-line::before {
+  content: "\e4b8"; }
+
+.fa-download::before {
+  content: "\f019"; }
+
+.fa-face-grin::before {
+  content: "\f580"; }
+
+.fa-grin::before {
+  content: "\f580"; }
+
+.fa-delete-left::before {
+  content: "\f55a"; }
+
+.fa-backspace::before {
+  content: "\f55a"; }
+
+.fa-eye-dropper::before {
+  content: "\f1fb"; }
+
+.fa-eye-dropper-empty::before {
+  content: "\f1fb"; }
+
+.fa-eyedropper::before {
+  content: "\f1fb"; }
+
+.fa-file-circle-check::before {
+  content: "\e5a0"; }
+
+.fa-forward::before {
+  content: "\f04e"; }
+
+.fa-mobile::before {
+  content: "\f3ce"; }
+
+.fa-mobile-android::before {
+  content: "\f3ce"; }
+
+.fa-mobile-phone::before {
+  content: "\f3ce"; }
+
+.fa-face-meh::before {
+  content: "\f11a"; }
+
+.fa-meh::before {
+  content: "\f11a"; }
+
+.fa-align-center::before {
+  content: "\f037"; }
+
+.fa-book-skull::before {
+  content: "\f6b7"; }
+
+.fa-book-dead::before {
+  content: "\f6b7"; }
+
+.fa-id-card::before {
+  content: "\f2c2"; }
+
+.fa-drivers-license::before {
+  content: "\f2c2"; }
+
+.fa-outdent::before {
+  content: "\f03b"; }
+
+.fa-dedent::before {
+  content: "\f03b"; }
+
+.fa-heart-circle-exclamation::before {
+  content: "\e4fe"; }
+
+.fa-house::before {
+  content: "\f015"; }
+
+.fa-home::before {
+  content: "\f015"; }
+
+.fa-home-alt::before {
+  content: "\f015"; }
+
+.fa-home-lg-alt::before {
+  content: "\f015"; }
+
+.fa-calendar-week::before {
+  content: "\f784"; }
+
+.fa-laptop-medical::before {
+  content: "\f812"; }
+
+.fa-b::before {
+  content: "\42"; }
+
+.fa-file-medical::before {
+  content: "\f477"; }
+
+.fa-dice-one::before {
+  content: "\f525"; }
+
+.fa-kiwi-bird::before {
+  content: "\f535"; }
+
+.fa-arrow-right-arrow-left::before {
+  content: "\f0ec"; }
+
+.fa-exchange::before {
+  content: "\f0ec"; }
+
+.fa-rotate-right::before {
+  content: "\f2f9"; }
+
+.fa-redo-alt::before {
+  content: "\f2f9"; }
+
+.fa-rotate-forward::before {
+  content: "\f2f9"; }
+
+.fa-utensils::before {
+  content: "\f2e7"; }
+
+.fa-cutlery::before {
+  content: "\f2e7"; }
+
+.fa-arrow-up-wide-short::before {
+  content: "\f161"; }
+
+.fa-sort-amount-up::before {
+  content: "\f161"; }
+
+.fa-mill-sign::before {
+  content: "\e1ed"; }
+
+.fa-bowl-rice::before {
+  content: "\e2eb"; }
+
+.fa-skull::before {
+  content: "\f54c"; }
+
+.fa-tower-broadcast::before {
+  content: "\f519"; }
+
+.fa-broadcast-tower::before {
+  content: "\f519"; }
+
+.fa-truck-pickup::before {
+  content: "\f63c"; }
+
+.fa-up-long::before {
+  content: "\f30c"; }
+
+.fa-long-arrow-alt-up::before {
+  content: "\f30c"; }
+
+.fa-stop::before {
+  content: "\f04d"; }
+
+.fa-code-merge::before {
+  content: "\f387"; }
+
+.fa-upload::before {
+  content: "\f093"; }
+
+.fa-hurricane::before {
+  content: "\f751"; }
+
+.fa-mound::before {
+  content: "\e52d"; }
+
+.fa-toilet-portable::before {
+  content: "\e583"; }
+
+.fa-compact-disc::before {
+  content: "\f51f"; }
+
+.fa-file-arrow-down::before {
+  content: "\f56d"; }
+
+.fa-file-download::before {
+  content: "\f56d"; }
+
+.fa-caravan::before {
+  content: "\f8ff"; }
+
+.fa-shield-cat::before {
+  content: "\e572"; }
+
+.fa-bolt::before {
+  content: "\f0e7"; }
+
+.fa-zap::before {
+  content: "\f0e7"; }
+
+.fa-glass-water::before {
+  content: "\e4f4"; }
+
+.fa-oil-well::before {
+  content: "\e532"; }
+
+.fa-vault::before {
+  content: "\e2c5"; }
+
+.fa-mars::before {
+  content: "\f222"; }
+
+.fa-toilet::before {
+  content: "\f7d8"; }
+
+.fa-plane-circle-xmark::before {
+  content: "\e557"; }
+
+.fa-yen-sign::before {
+  content: "\f157"; }
+
+.fa-cny::before {
+  content: "\f157"; }
+
+.fa-jpy::before {
+  content: "\f157"; }
+
+.fa-rmb::before {
+  content: "\f157"; }
+
+.fa-yen::before {
+  content: "\f157"; }
+
+.fa-ruble-sign::before {
+  content: "\f158"; }
+
+.fa-rouble::before {
+  content: "\f158"; }
+
+.fa-rub::before {
+  content: "\f158"; }
+
+.fa-ruble::before {
+  content: "\f158"; }
+
+.fa-sun::before {
+  content: "\f185"; }
+
+.fa-guitar::before {
+  content: "\f7a6"; }
+
+.fa-face-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-horse-head::before {
+  content: "\f7ab"; }
+
+.fa-bore-hole::before {
+  content: "\e4c3"; }
+
+.fa-industry::before {
+  content: "\f275"; }
+
+.fa-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrow-alt-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrows-turn-to-dots::before {
+  content: "\e4c1"; }
+
+.fa-florin-sign::before {
+  content: "\e184"; }
+
+.fa-arrow-down-short-wide::before {
+  content: "\f884"; }
+
+.fa-sort-amount-desc::before {
+  content: "\f884"; }
+
+.fa-sort-amount-down-alt::before {
+  content: "\f884"; }
+
+.fa-less-than::before {
+  content: "\3c"; }
+
+.fa-angle-down::before {
+  content: "\f107"; }
+
+.fa-car-tunnel::before {
+  content: "\e4de"; }
+
+.fa-head-side-cough::before {
+  content: "\e061"; }
+
+.fa-grip-lines::before {
+  content: "\f7a4"; }
+
+.fa-thumbs-down::before {
+  content: "\f165"; }
+
+.fa-user-lock::before {
+  content: "\f502"; }
+
+.fa-arrow-right-long::before {
+  content: "\f178"; }
+
+.fa-long-arrow-right::before {
+  content: "\f178"; }
+
+.fa-anchor-circle-xmark::before {
+  content: "\e4ac"; }
+
+.fa-ellipsis::before {
+  content: "\f141"; }
+
+.fa-ellipsis-h::before {
+  content: "\f141"; }
+
+.fa-chess-pawn::before {
+  content: "\f443"; }
+
+.fa-kit-medical::before {
+  content: "\f479"; }
+
+.fa-first-aid::before {
+  content: "\f479"; }
+
+.fa-person-through-window::before {
+  content: "\e5a9"; }
+
+.fa-toolbox::before {
+  content: "\f552"; }
+
+.fa-hands-holding-circle::before {
+  content: "\e4fb"; }
+
+.fa-bug::before {
+  content: "\f188"; }
+
+.fa-credit-card::before {
+  content: "\f09d"; }
+
+.fa-credit-card-alt::before {
+  content: "\f09d"; }
+
+.fa-car::before {
+  content: "\f1b9"; }
+
+.fa-automobile::before {
+  content: "\f1b9"; }
+
+.fa-hand-holding-hand::before {
+  content: "\e4f7"; }
+
+.fa-book-open-reader::before {
+  content: "\f5da"; }
+
+.fa-book-reader::before {
+  content: "\f5da"; }
+
+.fa-mountain-sun::before {
+  content: "\e52f"; }
+
+.fa-arrows-left-right-to-line::before {
+  content: "\e4ba"; }
+
+.fa-dice-d20::before {
+  content: "\f6cf"; }
+
+.fa-truck-droplet::before {
+  content: "\e58c"; }
+
+.fa-file-circle-xmark::before {
+  content: "\e5a1"; }
+
+.fa-temperature-arrow-up::before {
+  content: "\e040"; }
+
+.fa-temperature-up::before {
+  content: "\e040"; }
+
+.fa-medal::before {
+  content: "\f5a2"; }
+
+.fa-bed::before {
+  content: "\f236"; }
+
+.fa-square-h::before {
+  content: "\f0fd"; }
+
+.fa-h-square::before {
+  content: "\f0fd"; }
+
+.fa-podcast::before {
+  content: "\f2ce"; }
+
+.fa-temperature-full::before {
+  content: "\f2c7"; }
+
+.fa-temperature-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-full::before {
+  content: "\f2c7"; }
+
+.fa-bell::before {
+  content: "\f0f3"; }
+
+.fa-superscript::before {
+  content: "\f12b"; }
+
+.fa-plug-circle-xmark::before {
+  content: "\e560"; }
+
+.fa-star-of-life::before {
+  content: "\f621"; }
+
+.fa-phone-slash::before {
+  content: "\f3dd"; }
+
+.fa-paint-roller::before {
+  content: "\f5aa"; }
+
+.fa-handshake-angle::before {
+  content: "\f4c4"; }
+
+.fa-hands-helping::before {
+  content: "\f4c4"; }
+
+.fa-location-dot::before {
+  content: "\f3c5"; }
+
+.fa-map-marker-alt::before {
+  content: "\f3c5"; }
+
+.fa-file::before {
+  content: "\f15b"; }
+
+.fa-greater-than::before {
+  content: "\3e"; }
+
+.fa-person-swimming::before {
+  content: "\f5c4"; }
+
+.fa-swimmer::before {
+  content: "\f5c4"; }
+
+.fa-arrow-down::before {
+  content: "\f063"; }
+
+.fa-droplet::before {
+  content: "\f043"; }
+
+.fa-tint::before {
+  content: "\f043"; }
+
+.fa-eraser::before {
+  content: "\f12d"; }
+
+.fa-earth-americas::before {
+  content: "\f57d"; }
+
+.fa-earth::before {
+  content: "\f57d"; }
+
+.fa-earth-america::before {
+  content: "\f57d"; }
+
+.fa-globe-americas::before {
+  content: "\f57d"; }
+
+.fa-person-burst::before {
+  content: "\e53b"; }
+
+.fa-dove::before {
+  content: "\f4ba"; }
+
+.fa-battery-empty::before {
+  content: "\f244"; }
+
+.fa-battery-0::before {
+  content: "\f244"; }
+
+.fa-socks::before {
+  content: "\f696"; }
+
+.fa-inbox::before {
+  content: "\f01c"; }
+
+.fa-section::before {
+  content: "\e447"; }
+
+.fa-gauge-high::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt-fast::before {
+  content: "\f625"; }
+
+.fa-envelope-open-text::before {
+  content: "\f658"; }
+
+.fa-hospital::before {
+  content: "\f0f8"; }
+
+.fa-hospital-alt::before {
+  content: "\f0f8"; }
+
+.fa-hospital-wide::before {
+  content: "\f0f8"; }
+
+.fa-wine-bottle::before {
+  content: "\f72f"; }
+
+.fa-chess-rook::before {
+  content: "\f447"; }
+
+.fa-bars-staggered::before {
+  content: "\f550"; }
+
+.fa-reorder::before {
+  content: "\f550"; }
+
+.fa-stream::before {
+  content: "\f550"; }
+
+.fa-dharmachakra::before {
+  content: "\f655"; }
+
+.fa-hotdog::before {
+  content: "\f80f"; }
+
+.fa-person-walking-with-cane::before {
+  content: "\f29d"; }
+
+.fa-blind::before {
+  content: "\f29d"; }
+
+.fa-drum::before {
+  content: "\f569"; }
+
+.fa-ice-cream::before {
+  content: "\f810"; }
+
+.fa-heart-circle-bolt::before {
+  content: "\e4fc"; }
+
+.fa-fax::before {
+  content: "\f1ac"; }
+
+.fa-paragraph::before {
+  content: "\f1dd"; }
+
+.fa-check-to-slot::before {
+  content: "\f772"; }
+
+.fa-vote-yea::before {
+  content: "\f772"; }
+
+.fa-star-half::before {
+  content: "\f089"; }
+
+.fa-boxes-stacked::before {
+  content: "\f468"; }
+
+.fa-boxes::before {
+  content: "\f468"; }
+
+.fa-boxes-alt::before {
+  content: "\f468"; }
+
+.fa-link::before {
+  content: "\f0c1"; }
+
+.fa-chain::before {
+  content: "\f0c1"; }
+
+.fa-ear-listen::before {
+  content: "\f2a2"; }
+
+.fa-assistive-listening-systems::before {
+  content: "\f2a2"; }
+
+.fa-tree-city::before {
+  content: "\e587"; }
+
+.fa-play::before {
+  content: "\f04b"; }
+
+.fa-font::before {
+  content: "\f031"; }
+
+.fa-table-cells-row-lock::before {
+  content: "\e67a"; }
+
+.fa-rupiah-sign::before {
+  content: "\e23d"; }
+
+.fa-magnifying-glass::before {
+  content: "\f002"; }
+
+.fa-search::before {
+  content: "\f002"; }
+
+.fa-table-tennis-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-ping-pong-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-table-tennis::before {
+  content: "\f45d"; }
+
+.fa-person-dots-from-line::before {
+  content: "\f470"; }
+
+.fa-diagnoses::before {
+  content: "\f470"; }
+
+.fa-trash-can-arrow-up::before {
+  content: "\f82a"; }
+
+.fa-trash-restore-alt::before {
+  content: "\f82a"; }
+
+.fa-naira-sign::before {
+  content: "\e1f6"; }
+
+.fa-cart-arrow-down::before {
+  content: "\f218"; }
+
+.fa-walkie-talkie::before {
+  content: "\f8ef"; }
+
+.fa-file-pen::before {
+  content: "\f31c"; }
+
+.fa-file-edit::before {
+  content: "\f31c"; }
+
+.fa-receipt::before {
+  content: "\f543"; }
+
+.fa-square-pen::before {
+  content: "\f14b"; }
+
+.fa-pen-square::before {
+  content: "\f14b"; }
+
+.fa-pencil-square::before {
+  content: "\f14b"; }
+
+.fa-suitcase-rolling::before {
+  content: "\f5c1"; }
+
+.fa-person-circle-exclamation::before {
+  content: "\e53f"; }
+
+.fa-chevron-down::before {
+  content: "\f078"; }
+
+.fa-battery-full::before {
+  content: "\f240"; }
+
+.fa-battery::before {
+  content: "\f240"; }
+
+.fa-battery-5::before {
+  content: "\f240"; }
+
+.fa-skull-crossbones::before {
+  content: "\f714"; }
+
+.fa-code-compare::before {
+  content: "\e13a"; }
+
+.fa-list-ul::before {
+  content: "\f0ca"; }
+
+.fa-list-dots::before {
+  content: "\f0ca"; }
+
+.fa-school-lock::before {
+  content: "\e56f"; }
+
+.fa-tower-cell::before {
+  content: "\e585"; }
+
+.fa-down-long::before {
+  content: "\f309"; }
+
+.fa-long-arrow-alt-down::before {
+  content: "\f309"; }
+
+.fa-ranking-star::before {
+  content: "\e561"; }
+
+.fa-chess-king::before {
+  content: "\f43f"; }
+
+.fa-person-harassing::before {
+  content: "\e549"; }
+
+.fa-brazilian-real-sign::before {
+  content: "\e46c"; }
+
+.fa-landmark-dome::before {
+  content: "\f752"; }
+
+.fa-landmark-alt::before {
+  content: "\f752"; }
+
+.fa-arrow-up::before {
+  content: "\f062"; }
+
+.fa-tv::before {
+  content: "\f26c"; }
+
+.fa-television::before {
+  content: "\f26c"; }
+
+.fa-tv-alt::before {
+  content: "\f26c"; }
+
+.fa-shrimp::before {
+  content: "\e448"; }
+
+.fa-list-check::before {
+  content: "\f0ae"; }
+
+.fa-tasks::before {
+  content: "\f0ae"; }
+
+.fa-jug-detergent::before {
+  content: "\e519"; }
+
+.fa-circle-user::before {
+  content: "\f2bd"; }
+
+.fa-user-circle::before {
+  content: "\f2bd"; }
+
+.fa-user-shield::before {
+  content: "\f505"; }
+
+.fa-wind::before {
+  content: "\f72e"; }
+
+.fa-car-burst::before {
+  content: "\f5e1"; }
+
+.fa-car-crash::before {
+  content: "\f5e1"; }
+
+.fa-y::before {
+  content: "\59"; }
+
+.fa-person-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-truck-fast::before {
+  content: "\f48b"; }
+
+.fa-shipping-fast::before {
+  content: "\f48b"; }
+
+.fa-fish::before {
+  content: "\f578"; }
+
+.fa-user-graduate::before {
+  content: "\f501"; }
+
+.fa-circle-half-stroke::before {
+  content: "\f042"; }
+
+.fa-adjust::before {
+  content: "\f042"; }
+
+.fa-clapperboard::before {
+  content: "\e131"; }
+
+.fa-circle-radiation::before {
+  content: "\f7ba"; }
+
+.fa-radiation-alt::before {
+  content: "\f7ba"; }
+
+.fa-baseball::before {
+  content: "\f433"; }
+
+.fa-baseball-ball::before {
+  content: "\f433"; }
+
+.fa-jet-fighter-up::before {
+  content: "\e518"; }
+
+.fa-diagram-project::before {
+  content: "\f542"; }
+
+.fa-project-diagram::before {
+  content: "\f542"; }
+
+.fa-copy::before {
+  content: "\f0c5"; }
+
+.fa-volume-xmark::before {
+  content: "\f6a9"; }
+
+.fa-volume-mute::before {
+  content: "\f6a9"; }
+
+.fa-volume-times::before {
+  content: "\f6a9"; }
+
+.fa-hand-sparkles::before {
+  content: "\e05d"; }
+
+.fa-grip::before {
+  content: "\f58d"; }
+
+.fa-grip-horizontal::before {
+  content: "\f58d"; }
+
+.fa-share-from-square::before {
+  content: "\f14d"; }
+
+.fa-share-square::before {
+  content: "\f14d"; }
+
+.fa-child-combatant::before {
+  content: "\e4e0"; }
+
+.fa-child-rifle::before {
+  content: "\e4e0"; }
+
+.fa-gun::before {
+  content: "\e19b"; }
+
+.fa-square-phone::before {
+  content: "\f098"; }
+
+.fa-phone-square::before {
+  content: "\f098"; }
+
+.fa-plus::before {
+  content: "\2b"; }
+
+.fa-add::before {
+  content: "\2b"; }
+
+.fa-expand::before {
+  content: "\f065"; }
+
+.fa-computer::before {
+  content: "\e4e5"; }
+
+.fa-xmark::before {
+  content: "\f00d"; }
+
+.fa-close::before {
+  content: "\f00d"; }
+
+.fa-multiply::before {
+  content: "\f00d"; }
+
+.fa-remove::before {
+  content: "\f00d"; }
+
+.fa-times::before {
+  content: "\f00d"; }
+
+.fa-arrows-up-down-left-right::before {
+  content: "\f047"; }
+
+.fa-arrows::before {
+  content: "\f047"; }
+
+.fa-chalkboard-user::before {
+  content: "\f51c"; }
+
+.fa-chalkboard-teacher::before {
+  content: "\f51c"; }
+
+.fa-peso-sign::before {
+  content: "\e222"; }
+
+.fa-building-shield::before {
+  content: "\e4d8"; }
+
+.fa-baby::before {
+  content: "\f77c"; }
+
+.fa-users-line::before {
+  content: "\e592"; }
+
+.fa-quote-left::before {
+  content: "\f10d"; }
+
+.fa-quote-left-alt::before {
+  content: "\f10d"; }
+
+.fa-tractor::before {
+  content: "\f722"; }
+
+.fa-trash-arrow-up::before {
+  content: "\f829"; }
+
+.fa-trash-restore::before {
+  content: "\f829"; }
+
+.fa-arrow-down-up-lock::before {
+  content: "\e4b0"; }
+
+.fa-lines-leaning::before {
+  content: "\e51e"; }
+
+.fa-ruler-combined::before {
+  content: "\f546"; }
+
+.fa-copyright::before {
+  content: "\f1f9"; }
+
+.fa-equals::before {
+  content: "\3d"; }
+
+.fa-blender::before {
+  content: "\f517"; }
+
+.fa-teeth::before {
+  content: "\f62e"; }
+
+.fa-shekel-sign::before {
+  content: "\f20b"; }
+
+.fa-ils::before {
+  content: "\f20b"; }
+
+.fa-shekel::before {
+  content: "\f20b"; }
+
+.fa-sheqel::before {
+  content: "\f20b"; }
+
+.fa-sheqel-sign::before {
+  content: "\f20b"; }
+
+.fa-map::before {
+  content: "\f279"; }
+
+.fa-rocket::before {
+  content: "\f135"; }
+
+.fa-photo-film::before {
+  content: "\f87c"; }
+
+.fa-photo-video::before {
+  content: "\f87c"; }
+
+.fa-folder-minus::before {
+  content: "\f65d"; }
+
+.fa-store::before {
+  content: "\f54e"; }
+
+.fa-arrow-trend-up::before {
+  content: "\e098"; }
+
+.fa-plug-circle-minus::before {
+  content: "\e55e"; }
+
+.fa-sign-hanging::before {
+  content: "\f4d9"; }
+
+.fa-sign::before {
+  content: "\f4d9"; }
+
+.fa-bezier-curve::before {
+  content: "\f55b"; }
+
+.fa-bell-slash::before {
+  content: "\f1f6"; }
+
+.fa-tablet::before {
+  content: "\f3fb"; }
+
+.fa-tablet-android::before {
+  content: "\f3fb"; }
+
+.fa-school-flag::before {
+  content: "\e56e"; }
+
+.fa-fill::before {
+  content: "\f575"; }
+
+.fa-angle-up::before {
+  content: "\f106"; }
+
+.fa-drumstick-bite::before {
+  content: "\f6d7"; }
+
+.fa-holly-berry::before {
+  content: "\f7aa"; }
+
+.fa-chevron-left::before {
+  content: "\f053"; }
+
+.fa-bacteria::before {
+  content: "\e059"; }
+
+.fa-hand-lizard::before {
+  content: "\f258"; }
+
+.fa-notdef::before {
+  content: "\e1fe"; }
+
+.fa-disease::before {
+  content: "\f7fa"; }
+
+.fa-briefcase-medical::before {
+  content: "\f469"; }
+
+.fa-genderless::before {
+  content: "\f22d"; }
+
+.fa-chevron-right::before {
+  content: "\f054"; }
+
+.fa-retweet::before {
+  content: "\f079"; }
+
+.fa-car-rear::before {
+  content: "\f5de"; }
+
+.fa-car-alt::before {
+  content: "\f5de"; }
+
+.fa-pump-soap::before {
+  content: "\e06b"; }
+
+.fa-video-slash::before {
+  content: "\f4e2"; }
+
+.fa-battery-quarter::before {
+  content: "\f243"; }
+
+.fa-battery-2::before {
+  content: "\f243"; }
+
+.fa-radio::before {
+  content: "\f8d7"; }
+
+.fa-baby-carriage::before {
+  content: "\f77d"; }
+
+.fa-carriage-baby::before {
+  content: "\f77d"; }
+
+.fa-traffic-light::before {
+  content: "\f637"; }
+
+.fa-thermometer::before {
+  content: "\f491"; }
+
+.fa-vr-cardboard::before {
+  content: "\f729"; }
+
+.fa-hand-middle-finger::before {
+  content: "\f806"; }
+
+.fa-percent::before {
+  content: "\25"; }
+
+.fa-percentage::before {
+  content: "\25"; }
+
+.fa-truck-moving::before {
+  content: "\f4df"; }
+
+.fa-glass-water-droplet::before {
+  content: "\e4f5"; }
+
+.fa-display::before {
+  content: "\e163"; }
+
+.fa-face-smile::before {
+  content: "\f118"; }
+
+.fa-smile::before {
+  content: "\f118"; }
+
+.fa-thumbtack::before {
+  content: "\f08d"; }
+
+.fa-thumb-tack::before {
+  content: "\f08d"; }
+
+.fa-trophy::before {
+  content: "\f091"; }
+
+.fa-person-praying::before {
+  content: "\f683"; }
+
+.fa-pray::before {
+  content: "\f683"; }
+
+.fa-hammer::before {
+  content: "\f6e3"; }
+
+.fa-hand-peace::before {
+  content: "\f25b"; }
+
+.fa-rotate::before {
+  content: "\f2f1"; }
+
+.fa-sync-alt::before {
+  content: "\f2f1"; }
+
+.fa-spinner::before {
+  content: "\f110"; }
+
+.fa-robot::before {
+  content: "\f544"; }
+
+.fa-peace::before {
+  content: "\f67c"; }
+
+.fa-gears::before {
+  content: "\f085"; }
+
+.fa-cogs::before {
+  content: "\f085"; }
+
+.fa-warehouse::before {
+  content: "\f494"; }
+
+.fa-arrow-up-right-dots::before {
+  content: "\e4b7"; }
+
+.fa-splotch::before {
+  content: "\f5bc"; }
+
+.fa-face-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-dice-four::before {
+  content: "\f524"; }
+
+.fa-sim-card::before {
+  content: "\f7c4"; }
+
+.fa-transgender::before {
+  content: "\f225"; }
+
+.fa-transgender-alt::before {
+  content: "\f225"; }
+
+.fa-mercury::before {
+  content: "\f223"; }
+
+.fa-arrow-turn-down::before {
+  content: "\f149"; }
+
+.fa-level-down::before {
+  content: "\f149"; }
+
+.fa-person-falling-burst::before {
+  content: "\e547"; }
+
+.fa-award::before {
+  content: "\f559"; }
+
+.fa-ticket-simple::before {
+  content: "\f3ff"; }
+
+.fa-ticket-alt::before {
+  content: "\f3ff"; }
+
+.fa-building::before {
+  content: "\f1ad"; }
+
+.fa-angles-left::before {
+  content: "\f100"; }
+
+.fa-angle-double-left::before {
+  content: "\f100"; }
+
+.fa-qrcode::before {
+  content: "\f029"; }
+
+.fa-clock-rotate-left::before {
+  content: "\f1da"; }
+
+.fa-history::before {
+  content: "\f1da"; }
+
+.fa-face-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-file-export::before {
+  content: "\f56e"; }
+
+.fa-arrow-right-from-file::before {
+  content: "\f56e"; }
+
+.fa-shield::before {
+  content: "\f132"; }
+
+.fa-shield-blank::before {
+  content: "\f132"; }
+
+.fa-arrow-up-short-wide::before {
+  content: "\f885"; }
+
+.fa-sort-amount-up-alt::before {
+  content: "\f885"; }
+
+.fa-house-medical::before {
+  content: "\e3b2"; }
+
+.fa-golf-ball-tee::before {
+  content: "\f450"; }
+
+.fa-golf-ball::before {
+  content: "\f450"; }
+
+.fa-circle-chevron-left::before {
+  content: "\f137"; }
+
+.fa-chevron-circle-left::before {
+  content: "\f137"; }
+
+.fa-house-chimney-window::before {
+  content: "\e00d"; }
+
+.fa-pen-nib::before {
+  content: "\f5ad"; }
+
+.fa-tent-arrow-turn-left::before {
+  content: "\e580"; }
+
+.fa-tents::before {
+  content: "\e582"; }
+
+.fa-wand-magic::before {
+  content: "\f0d0"; }
+
+.fa-magic::before {
+  content: "\f0d0"; }
+
+.fa-dog::before {
+  content: "\f6d3"; }
+
+.fa-carrot::before {
+  content: "\f787"; }
+
+.fa-moon::before {
+  content: "\f186"; }
+
+.fa-wine-glass-empty::before {
+  content: "\f5ce"; }
+
+.fa-wine-glass-alt::before {
+  content: "\f5ce"; }
+
+.fa-cheese::before {
+  content: "\f7ef"; }
+
+.fa-yin-yang::before {
+  content: "\f6ad"; }
+
+.fa-music::before {
+  content: "\f001"; }
+
+.fa-code-commit::before {
+  content: "\f386"; }
+
+.fa-temperature-low::before {
+  content: "\f76b"; }
+
+.fa-person-biking::before {
+  content: "\f84a"; }
+
+.fa-biking::before {
+  content: "\f84a"; }
+
+.fa-broom::before {
+  content: "\f51a"; }
+
+.fa-shield-heart::before {
+  content: "\e574"; }
+
+.fa-gopuram::before {
+  content: "\f664"; }
+
+.fa-earth-oceania::before {
+  content: "\e47b"; }
+
+.fa-globe-oceania::before {
+  content: "\e47b"; }
+
+.fa-square-xmark::before {
+  content: "\f2d3"; }
+
+.fa-times-square::before {
+  content: "\f2d3"; }
+
+.fa-xmark-square::before {
+  content: "\f2d3"; }
+
+.fa-hashtag::before {
+  content: "\23"; }
+
+.fa-up-right-and-down-left-from-center::before {
+  content: "\f424"; }
+
+.fa-expand-alt::before {
+  content: "\f424"; }
+
+.fa-oil-can::before {
+  content: "\f613"; }
+
+.fa-t::before {
+  content: "\54"; }
+
+.fa-hippo::before {
+  content: "\f6ed"; }
+
+.fa-chart-column::before {
+  content: "\e0e3"; }
+
+.fa-infinity::before {
+  content: "\f534"; }
+
+.fa-vial-circle-check::before {
+  content: "\e596"; }
+
+.fa-person-arrow-down-to-line::before {
+  content: "\e538"; }
+
+.fa-voicemail::before {
+  content: "\f897"; }
+
+.fa-fan::before {
+  content: "\f863"; }
+
+.fa-person-walking-luggage::before {
+  content: "\e554"; }
+
+.fa-up-down::before {
+  content: "\f338"; }
+
+.fa-arrows-alt-v::before {
+  content: "\f338"; }
+
+.fa-cloud-moon-rain::before {
+  content: "\f73c"; }
+
+.fa-calendar::before {
+  content: "\f133"; }
+
+.fa-trailer::before {
+  content: "\e041"; }
+
+.fa-bahai::before {
+  content: "\f666"; }
+
+.fa-haykal::before {
+  content: "\f666"; }
+
+.fa-sd-card::before {
+  content: "\f7c2"; }
+
+.fa-dragon::before {
+  content: "\f6d5"; }
+
+.fa-shoe-prints::before {
+  content: "\f54b"; }
+
+.fa-circle-plus::before {
+  content: "\f055"; }
+
+.fa-plus-circle::before {
+  content: "\f055"; }
+
+.fa-face-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-hand-holding::before {
+  content: "\f4bd"; }
+
+.fa-plug-circle-exclamation::before {
+  content: "\e55d"; }
+
+.fa-link-slash::before {
+  content: "\f127"; }
+
+.fa-chain-broken::before {
+  content: "\f127"; }
+
+.fa-chain-slash::before {
+  content: "\f127"; }
+
+.fa-unlink::before {
+  content: "\f127"; }
+
+.fa-clone::before {
+  content: "\f24d"; }
+
+.fa-person-walking-arrow-loop-left::before {
+  content: "\e551"; }
+
+.fa-arrow-up-z-a::before {
+  content: "\f882"; }
+
+.fa-sort-alpha-up-alt::before {
+  content: "\f882"; }
+
+.fa-fire-flame-curved::before {
+  content: "\f7e4"; }
+
+.fa-fire-alt::before {
+  content: "\f7e4"; }
+
+.fa-tornado::before {
+  content: "\f76f"; }
+
+.fa-file-circle-plus::before {
+  content: "\e494"; }
+
+.fa-book-quran::before {
+  content: "\f687"; }
+
+.fa-quran::before {
+  content: "\f687"; }
+
+.fa-anchor::before {
+  content: "\f13d"; }
+
+.fa-border-all::before {
+  content: "\f84c"; }
+
+.fa-face-angry::before {
+  content: "\f556"; }
+
+.fa-angry::before {
+  content: "\f556"; }
+
+.fa-cookie-bite::before {
+  content: "\f564"; }
+
+.fa-arrow-trend-down::before {
+  content: "\e097"; }
+
+.fa-rss::before {
+  content: "\f09e"; }
+
+.fa-feed::before {
+  content: "\f09e"; }
+
+.fa-draw-polygon::before {
+  content: "\f5ee"; }
+
+.fa-scale-balanced::before {
+  content: "\f24e"; }
+
+.fa-balance-scale::before {
+  content: "\f24e"; }
+
+.fa-gauge-simple-high::before {
+  content: "\f62a"; }
+
+.fa-tachometer::before {
+  content: "\f62a"; }
+
+.fa-tachometer-fast::before {
+  content: "\f62a"; }
+
+.fa-shower::before {
+  content: "\f2cc"; }
+
+.fa-desktop::before {
+  content: "\f390"; }
+
+.fa-desktop-alt::before {
+  content: "\f390"; }
+
+.fa-m::before {
+  content: "\4d"; }
+
+.fa-table-list::before {
+  content: "\f00b"; }
+
+.fa-th-list::before {
+  content: "\f00b"; }
+
+.fa-comment-sms::before {
+  content: "\f7cd"; }
+
+.fa-sms::before {
+  content: "\f7cd"; }
+
+.fa-book::before {
+  content: "\f02d"; }
+
+.fa-user-plus::before {
+  content: "\f234"; }
+
+.fa-check::before {
+  content: "\f00c"; }
+
+.fa-battery-three-quarters::before {
+  content: "\f241"; }
+
+.fa-battery-4::before {
+  content: "\f241"; }
+
+.fa-house-circle-check::before {
+  content: "\e509"; }
+
+.fa-angle-left::before {
+  content: "\f104"; }
+
+.fa-diagram-successor::before {
+  content: "\e47a"; }
+
+.fa-truck-arrow-right::before {
+  content: "\e58b"; }
+
+.fa-arrows-split-up-and-left::before {
+  content: "\e4bc"; }
+
+.fa-hand-fist::before {
+  content: "\f6de"; }
+
+.fa-fist-raised::before {
+  content: "\f6de"; }
+
+.fa-cloud-moon::before {
+  content: "\f6c3"; }
+
+.fa-briefcase::before {
+  content: "\f0b1"; }
+
+.fa-person-falling::before {
+  content: "\e546"; }
+
+.fa-image-portrait::before {
+  content: "\f3e0"; }
+
+.fa-portrait::before {
+  content: "\f3e0"; }
+
+.fa-user-tag::before {
+  content: "\f507"; }
+
+.fa-rug::before {
+  content: "\e569"; }
+
+.fa-earth-europe::before {
+  content: "\f7a2"; }
+
+.fa-globe-europe::before {
+  content: "\f7a2"; }
+
+.fa-cart-flatbed-suitcase::before {
+  content: "\f59d"; }
+
+.fa-luggage-cart::before {
+  content: "\f59d"; }
+
+.fa-rectangle-xmark::before {
+  content: "\f410"; }
+
+.fa-rectangle-times::before {
+  content: "\f410"; }
+
+.fa-times-rectangle::before {
+  content: "\f410"; }
+
+.fa-window-close::before {
+  content: "\f410"; }
+
+.fa-baht-sign::before {
+  content: "\e0ac"; }
+
+.fa-book-open::before {
+  content: "\f518"; }
+
+.fa-book-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-handcuffs::before {
+  content: "\e4f8"; }
+
+.fa-triangle-exclamation::before {
+  content: "\f071"; }
+
+.fa-exclamation-triangle::before {
+  content: "\f071"; }
+
+.fa-warning::before {
+  content: "\f071"; }
+
+.fa-database::before {
+  content: "\f1c0"; }
+
+.fa-share::before {
+  content: "\f064"; }
+
+.fa-mail-forward::before {
+  content: "\f064"; }
+
+.fa-bottle-droplet::before {
+  content: "\e4c4"; }
+
+.fa-mask-face::before {
+  content: "\e1d7"; }
+
+.fa-hill-rockslide::before {
+  content: "\e508"; }
+
+.fa-right-left::before {
+  content: "\f362"; }
+
+.fa-exchange-alt::before {
+  content: "\f362"; }
+
+.fa-paper-plane::before {
+  content: "\f1d8"; }
+
+.fa-road-circle-exclamation::before {
+  content: "\e565"; }
+
+.fa-dungeon::before {
+  content: "\f6d9"; }
+
+.fa-align-right::before {
+  content: "\f038"; }
+
+.fa-money-bill-1-wave::before {
+  content: "\f53b"; }
+
+.fa-money-bill-wave-alt::before {
+  content: "\f53b"; }
+
+.fa-life-ring::before {
+  content: "\f1cd"; }
+
+.fa-hands::before {
+  content: "\f2a7"; }
+
+.fa-sign-language::before {
+  content: "\f2a7"; }
+
+.fa-signing::before {
+  content: "\f2a7"; }
+
+.fa-calendar-day::before {
+  content: "\f783"; }
+
+.fa-water-ladder::before {
+  content: "\f5c5"; }
+
+.fa-ladder-water::before {
+  content: "\f5c5"; }
+
+.fa-swimming-pool::before {
+  content: "\f5c5"; }
+
+.fa-arrows-up-down::before {
+  content: "\f07d"; }
+
+.fa-arrows-v::before {
+  content: "\f07d"; }
+
+.fa-face-grimace::before {
+  content: "\f57f"; }
+
+.fa-grimace::before {
+  content: "\f57f"; }
+
+.fa-wheelchair-move::before {
+  content: "\e2ce"; }
+
+.fa-wheelchair-alt::before {
+  content: "\e2ce"; }
+
+.fa-turn-down::before {
+  content: "\f3be"; }
+
+.fa-level-down-alt::before {
+  content: "\f3be"; }
+
+.fa-person-walking-arrow-right::before {
+  content: "\e552"; }
+
+.fa-square-envelope::before {
+  content: "\f199"; }
+
+.fa-envelope-square::before {
+  content: "\f199"; }
+
+.fa-dice::before {
+  content: "\f522"; }
+
+.fa-bowling-ball::before {
+  content: "\f436"; }
+
+.fa-brain::before {
+  content: "\f5dc"; }
+
+.fa-bandage::before {
+  content: "\f462"; }
+
+.fa-band-aid::before {
+  content: "\f462"; }
+
+.fa-calendar-minus::before {
+  content: "\f272"; }
+
+.fa-circle-xmark::before {
+  content: "\f057"; }
+
+.fa-times-circle::before {
+  content: "\f057"; }
+
+.fa-xmark-circle::before {
+  content: "\f057"; }
+
+.fa-gifts::before {
+  content: "\f79c"; }
+
+.fa-hotel::before {
+  content: "\f594"; }
+
+.fa-earth-asia::before {
+  content: "\f57e"; }
+
+.fa-globe-asia::before {
+  content: "\f57e"; }
+
+.fa-id-card-clip::before {
+  content: "\f47f"; }
+
+.fa-id-card-alt::before {
+  content: "\f47f"; }
+
+.fa-magnifying-glass-plus::before {
+  content: "\f00e"; }
+
+.fa-search-plus::before {
+  content: "\f00e"; }
+
+.fa-thumbs-up::before {
+  content: "\f164"; }
+
+.fa-user-clock::before {
+  content: "\f4fd"; }
+
+.fa-hand-dots::before {
+  content: "\f461"; }
+
+.fa-allergies::before {
+  content: "\f461"; }
+
+.fa-file-invoice::before {
+  content: "\f570"; }
+
+.fa-window-minimize::before {
+  content: "\f2d1"; }
+
+.fa-mug-saucer::before {
+  content: "\f0f4"; }
+
+.fa-coffee::before {
+  content: "\f0f4"; }
+
+.fa-brush::before {
+  content: "\f55d"; }
+
+.fa-mask::before {
+  content: "\f6fa"; }
+
+.fa-magnifying-glass-minus::before {
+  content: "\f010"; }
+
+.fa-search-minus::before {
+  content: "\f010"; }
+
+.fa-ruler-vertical::before {
+  content: "\f548"; }
+
+.fa-user-large::before {
+  content: "\f406"; }
+
+.fa-user-alt::before {
+  content: "\f406"; }
+
+.fa-train-tram::before {
+  content: "\e5b4"; }
+
+.fa-user-nurse::before {
+  content: "\f82f"; }
+
+.fa-syringe::before {
+  content: "\f48e"; }
+
+.fa-cloud-sun::before {
+  content: "\f6c4"; }
+
+.fa-stopwatch-20::before {
+  content: "\e06f"; }
+
+.fa-square-full::before {
+  content: "\f45c"; }
+
+.fa-magnet::before {
+  content: "\f076"; }
+
+.fa-jar::before {
+  content: "\e516"; }
+
+.fa-note-sticky::before {
+  content: "\f249"; }
+
+.fa-sticky-note::before {
+  content: "\f249"; }
+
+.fa-bug-slash::before {
+  content: "\e490"; }
+
+.fa-arrow-up-from-water-pump::before {
+  content: "\e4b6"; }
+
+.fa-bone::before {
+  content: "\f5d7"; }
+
+.fa-user-injured::before {
+  content: "\f728"; }
+
+.fa-face-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-plane::before {
+  content: "\f072"; }
+
+.fa-tent-arrows-down::before {
+  content: "\e581"; }
+
+.fa-exclamation::before {
+  content: "\21"; }
+
+.fa-arrows-spin::before {
+  content: "\e4bb"; }
+
+.fa-print::before {
+  content: "\f02f"; }
+
+.fa-turkish-lira-sign::before {
+  content: "\e2bb"; }
+
+.fa-try::before {
+  content: "\e2bb"; }
+
+.fa-turkish-lira::before {
+  content: "\e2bb"; }
+
+.fa-dollar-sign::before {
+  content: "\24"; }
+
+.fa-dollar::before {
+  content: "\24"; }
+
+.fa-usd::before {
+  content: "\24"; }
+
+.fa-x::before {
+  content: "\58"; }
+
+.fa-magnifying-glass-dollar::before {
+  content: "\f688"; }
+
+.fa-search-dollar::before {
+  content: "\f688"; }
+
+.fa-users-gear::before {
+  content: "\f509"; }
+
+.fa-users-cog::before {
+  content: "\f509"; }
+
+.fa-person-military-pointing::before {
+  content: "\e54a"; }
+
+.fa-building-columns::before {
+  content: "\f19c"; }
+
+.fa-bank::before {
+  content: "\f19c"; }
+
+.fa-institution::before {
+  content: "\f19c"; }
+
+.fa-museum::before {
+  content: "\f19c"; }
+
+.fa-university::before {
+  content: "\f19c"; }
+
+.fa-umbrella::before {
+  content: "\f0e9"; }
+
+.fa-trowel::before {
+  content: "\e589"; }
+
+.fa-d::before {
+  content: "\44"; }
+
+.fa-stapler::before {
+  content: "\e5af"; }
+
+.fa-masks-theater::before {
+  content: "\f630"; }
+
+.fa-theater-masks::before {
+  content: "\f630"; }
+
+.fa-kip-sign::before {
+  content: "\e1c4"; }
+
+.fa-hand-point-left::before {
+  content: "\f0a5"; }
+
+.fa-handshake-simple::before {
+  content: "\f4c6"; }
+
+.fa-handshake-alt::before {
+  content: "\f4c6"; }
+
+.fa-jet-fighter::before {
+  content: "\f0fb"; }
+
+.fa-fighter-jet::before {
+  content: "\f0fb"; }
+
+.fa-square-share-nodes::before {
+  content: "\f1e1"; }
+
+.fa-share-alt-square::before {
+  content: "\f1e1"; }
+
+.fa-barcode::before {
+  content: "\f02a"; }
+
+.fa-plus-minus::before {
+  content: "\e43c"; }
+
+.fa-video::before {
+  content: "\f03d"; }
+
+.fa-video-camera::before {
+  content: "\f03d"; }
+
+.fa-graduation-cap::before {
+  content: "\f19d"; }
+
+.fa-mortar-board::before {
+  content: "\f19d"; }
+
+.fa-hand-holding-medical::before {
+  content: "\e05c"; }
+
+.fa-person-circle-check::before {
+  content: "\e53e"; }
+
+.fa-turn-up::before {
+  content: "\f3bf"; }
+
+.fa-level-up-alt::before {
+  content: "\f3bf"; }
+
+.sr-only,
+.fa-sr-only {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+
+.sr-only-focusable:not(:focus),
+.fa-sr-only-focusable:not(:focus) {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+:root, :host {
+  --fa-style-family-brands: 'Font Awesome 6 Brands';
+  --fa-font-brands: normal 400 1em/1 'Font Awesome 6 Brands'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Brands';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+.fab,
+.fa-brands {
+  font-weight: 400; }
+
+.fa-monero:before {
+  content: "\f3d0"; }
+
+.fa-hooli:before {
+  content: "\f427"; }
+
+.fa-yelp:before {
+  content: "\f1e9"; }
+
+.fa-cc-visa:before {
+  content: "\f1f0"; }
+
+.fa-lastfm:before {
+  content: "\f202"; }
+
+.fa-shopware:before {
+  content: "\f5b5"; }
+
+.fa-creative-commons-nc:before {
+  content: "\f4e8"; }
+
+.fa-aws:before {
+  content: "\f375"; }
+
+.fa-redhat:before {
+  content: "\f7bc"; }
+
+.fa-yoast:before {
+  content: "\f2b1"; }
+
+.fa-cloudflare:before {
+  content: "\e07d"; }
+
+.fa-ups:before {
+  content: "\f7e0"; }
+
+.fa-pixiv:before {
+  content: "\e640"; }
+
+.fa-wpexplorer:before {
+  content: "\f2de"; }
+
+.fa-dyalog:before {
+  content: "\f399"; }
+
+.fa-bity:before {
+  content: "\f37a"; }
+
+.fa-stackpath:before {
+  content: "\f842"; }
+
+.fa-buysellads:before {
+  content: "\f20d"; }
+
+.fa-first-order:before {
+  content: "\f2b0"; }
+
+.fa-modx:before {
+  content: "\f285"; }
+
+.fa-guilded:before {
+  content: "\e07e"; }
+
+.fa-vnv:before {
+  content: "\f40b"; }
+
+.fa-square-js:before {
+  content: "\f3b9"; }
+
+.fa-js-square:before {
+  content: "\f3b9"; }
+
+.fa-microsoft:before {
+  content: "\f3ca"; }
+
+.fa-qq:before {
+  content: "\f1d6"; }
+
+.fa-orcid:before {
+  content: "\f8d2"; }
+
+.fa-java:before {
+  content: "\f4e4"; }
+
+.fa-invision:before {
+  content: "\f7b0"; }
+
+.fa-creative-commons-pd-alt:before {
+  content: "\f4ed"; }
+
+.fa-centercode:before {
+  content: "\f380"; }
+
+.fa-glide-g:before {
+  content: "\f2a6"; }
+
+.fa-drupal:before {
+  content: "\f1a9"; }
+
+.fa-jxl:before {
+  content: "\e67b"; }
+
+.fa-hire-a-helper:before {
+  content: "\f3b0"; }
+
+.fa-creative-commons-by:before {
+  content: "\f4e7"; }
+
+.fa-unity:before {
+  content: "\e049"; }
+
+.fa-whmcs:before {
+  content: "\f40d"; }
+
+.fa-rocketchat:before {
+  content: "\f3e8"; }
+
+.fa-vk:before {
+  content: "\f189"; }
+
+.fa-untappd:before {
+  content: "\f405"; }
+
+.fa-mailchimp:before {
+  content: "\f59e"; }
+
+.fa-css3-alt:before {
+  content: "\f38b"; }
+
+.fa-square-reddit:before {
+  content: "\f1a2"; }
+
+.fa-reddit-square:before {
+  content: "\f1a2"; }
+
+.fa-vimeo-v:before {
+  content: "\f27d"; }
+
+.fa-contao:before {
+  content: "\f26d"; }
+
+.fa-square-font-awesome:before {
+  content: "\e5ad"; }
+
+.fa-deskpro:before {
+  content: "\f38f"; }
+
+.fa-brave:before {
+  content: "\e63c"; }
+
+.fa-sistrix:before {
+  content: "\f3ee"; }
+
+.fa-square-instagram:before {
+  content: "\e055"; }
+
+.fa-instagram-square:before {
+  content: "\e055"; }
+
+.fa-battle-net:before {
+  content: "\f835"; }
+
+.fa-the-red-yeti:before {
+  content: "\f69d"; }
+
+.fa-square-hacker-news:before {
+  content: "\f3af"; }
+
+.fa-hacker-news-square:before {
+  content: "\f3af"; }
+
+.fa-edge:before {
+  content: "\f282"; }
+
+.fa-threads:before {
+  content: "\e618"; }
+
+.fa-napster:before {
+  content: "\f3d2"; }
+
+.fa-square-snapchat:before {
+  content: "\f2ad"; }
+
+.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa-google-plus-g:before {
+  content: "\f0d5"; }
+
+.fa-artstation:before {
+  content: "\f77a"; }
+
+.fa-markdown:before {
+  content: "\f60f"; }
+
+.fa-sourcetree:before {
+  content: "\f7d3"; }
+
+.fa-google-plus:before {
+  content: "\f2b3"; }
+
+.fa-diaspora:before {
+  content: "\f791"; }
+
+.fa-foursquare:before {
+  content: "\f180"; }
+
+.fa-stack-overflow:before {
+  content: "\f16c"; }
+
+.fa-github-alt:before {
+  content: "\f113"; }
+
+.fa-phoenix-squadron:before {
+  content: "\f511"; }
+
+.fa-pagelines:before {
+  content: "\f18c"; }
+
+.fa-algolia:before {
+  content: "\f36c"; }
+
+.fa-red-river:before {
+  content: "\f3e3"; }
+
+.fa-creative-commons-sa:before {
+  content: "\f4ef"; }
+
+.fa-safari:before {
+  content: "\f267"; }
+
+.fa-google:before {
+  content: "\f1a0"; }
+
+.fa-square-font-awesome-stroke:before {
+  content: "\f35c"; }
+
+.fa-font-awesome-alt:before {
+  content: "\f35c"; }
+
+.fa-atlassian:before {
+  content: "\f77b"; }
+
+.fa-linkedin-in:before {
+  content: "\f0e1"; }
+
+.fa-digital-ocean:before {
+  content: "\f391"; }
+
+.fa-nimblr:before {
+  content: "\f5a8"; }
+
+.fa-chromecast:before {
+  content: "\f838"; }
+
+.fa-evernote:before {
+  content: "\f839"; }
+
+.fa-hacker-news:before {
+  content: "\f1d4"; }
+
+.fa-creative-commons-sampling:before {
+  content: "\f4f0"; }
+
+.fa-adversal:before {
+  content: "\f36a"; }
+
+.fa-creative-commons:before {
+  content: "\f25e"; }
+
+.fa-watchman-monitoring:before {
+  content: "\e087"; }
+
+.fa-fonticons:before {
+  content: "\f280"; }
+
+.fa-weixin:before {
+  content: "\f1d7"; }
+
+.fa-shirtsinbulk:before {
+  content: "\f214"; }
+
+.fa-codepen:before {
+  content: "\f1cb"; }
+
+.fa-git-alt:before {
+  content: "\f841"; }
+
+.fa-lyft:before {
+  content: "\f3c3"; }
+
+.fa-rev:before {
+  content: "\f5b2"; }
+
+.fa-windows:before {
+  content: "\f17a"; }
+
+.fa-wizards-of-the-coast:before {
+  content: "\f730"; }
+
+.fa-square-viadeo:before {
+  content: "\f2aa"; }
+
+.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa-meetup:before {
+  content: "\f2e0"; }
+
+.fa-centos:before {
+  content: "\f789"; }
+
+.fa-adn:before {
+  content: "\f170"; }
+
+.fa-cloudsmith:before {
+  content: "\f384"; }
+
+.fa-opensuse:before {
+  content: "\e62b"; }
+
+.fa-pied-piper-alt:before {
+  content: "\f1a8"; }
+
+.fa-square-dribbble:before {
+  content: "\f397"; }
+
+.fa-dribbble-square:before {
+  content: "\f397"; }
+
+.fa-codiepie:before {
+  content: "\f284"; }
+
+.fa-node:before {
+  content: "\f419"; }
+
+.fa-mix:before {
+  content: "\f3cb"; }
+
+.fa-steam:before {
+  content: "\f1b6"; }
+
+.fa-cc-apple-pay:before {
+  content: "\f416"; }
+
+.fa-scribd:before {
+  content: "\f28a"; }
+
+.fa-debian:before {
+  content: "\e60b"; }
+
+.fa-openid:before {
+  content: "\f19b"; }
+
+.fa-instalod:before {
+  content: "\e081"; }
+
+.fa-expeditedssl:before {
+  content: "\f23e"; }
+
+.fa-sellcast:before {
+  content: "\f2da"; }
+
+.fa-square-twitter:before {
+  content: "\f081"; }
+
+.fa-twitter-square:before {
+  content: "\f081"; }
+
+.fa-r-project:before {
+  content: "\f4f7"; }
+
+.fa-delicious:before {
+  content: "\f1a5"; }
+
+.fa-freebsd:before {
+  content: "\f3a4"; }
+
+.fa-vuejs:before {
+  content: "\f41f"; }
+
+.fa-accusoft:before {
+  content: "\f369"; }
+
+.fa-ioxhost:before {
+  content: "\f208"; }
+
+.fa-fonticons-fi:before {
+  content: "\f3a2"; }
+
+.fa-app-store:before {
+  content: "\f36f"; }
+
+.fa-cc-mastercard:before {
+  content: "\f1f1"; }
+
+.fa-itunes-note:before {
+  content: "\f3b5"; }
+
+.fa-golang:before {
+  content: "\e40f"; }
+
+.fa-kickstarter:before {
+  content: "\f3bb"; }
+
+.fa-square-kickstarter:before {
+  content: "\f3bb"; }
+
+.fa-grav:before {
+  content: "\f2d6"; }
+
+.fa-weibo:before {
+  content: "\f18a"; }
+
+.fa-uncharted:before {
+  content: "\e084"; }
+
+.fa-firstdraft:before {
+  content: "\f3a1"; }
+
+.fa-square-youtube:before {
+  content: "\f431"; }
+
+.fa-youtube-square:before {
+  content: "\f431"; }
+
+.fa-wikipedia-w:before {
+  content: "\f266"; }
+
+.fa-wpressr:before {
+  content: "\f3e4"; }
+
+.fa-rendact:before {
+  content: "\f3e4"; }
+
+.fa-angellist:before {
+  content: "\f209"; }
+
+.fa-galactic-republic:before {
+  content: "\f50c"; }
+
+.fa-nfc-directional:before {
+  content: "\e530"; }
+
+.fa-skype:before {
+  content: "\f17e"; }
+
+.fa-joget:before {
+  content: "\f3b7"; }
+
+.fa-fedora:before {
+  content: "\f798"; }
+
+.fa-stripe-s:before {
+  content: "\f42a"; }
+
+.fa-meta:before {
+  content: "\e49b"; }
+
+.fa-laravel:before {
+  content: "\f3bd"; }
+
+.fa-hotjar:before {
+  content: "\f3b1"; }
+
+.fa-bluetooth-b:before {
+  content: "\f294"; }
+
+.fa-square-letterboxd:before {
+  content: "\e62e"; }
+
+.fa-sticker-mule:before {
+  content: "\f3f7"; }
+
+.fa-creative-commons-zero:before {
+  content: "\f4f3"; }
+
+.fa-hips:before {
+  content: "\f452"; }
+
+.fa-behance:before {
+  content: "\f1b4"; }
+
+.fa-reddit:before {
+  content: "\f1a1"; }
+
+.fa-discord:before {
+  content: "\f392"; }
+
+.fa-chrome:before {
+  content: "\f268"; }
+
+.fa-app-store-ios:before {
+  content: "\f370"; }
+
+.fa-cc-discover:before {
+  content: "\f1f2"; }
+
+.fa-wpbeginner:before {
+  content: "\f297"; }
+
+.fa-confluence:before {
+  content: "\f78d"; }
+
+.fa-shoelace:before {
+  content: "\e60c"; }
+
+.fa-mdb:before {
+  content: "\f8ca"; }
+
+.fa-dochub:before {
+  content: "\f394"; }
+
+.fa-accessible-icon:before {
+  content: "\f368"; }
+
+.fa-ebay:before {
+  content: "\f4f4"; }
+
+.fa-amazon:before {
+  content: "\f270"; }
+
+.fa-unsplash:before {
+  content: "\e07c"; }
+
+.fa-yarn:before {
+  content: "\f7e3"; }
+
+.fa-square-steam:before {
+  content: "\f1b7"; }
+
+.fa-steam-square:before {
+  content: "\f1b7"; }
+
+.fa-500px:before {
+  content: "\f26e"; }
+
+.fa-square-vimeo:before {
+  content: "\f194"; }
+
+.fa-vimeo-square:before {
+  content: "\f194"; }
+
+.fa-asymmetrik:before {
+  content: "\f372"; }
+
+.fa-font-awesome:before {
+  content: "\f2b4"; }
+
+.fa-font-awesome-flag:before {
+  content: "\f2b4"; }
+
+.fa-font-awesome-logo-full:before {
+  content: "\f2b4"; }
+
+.fa-gratipay:before {
+  content: "\f184"; }
+
+.fa-apple:before {
+  content: "\f179"; }
+
+.fa-hive:before {
+  content: "\e07f"; }
+
+.fa-gitkraken:before {
+  content: "\f3a6"; }
+
+.fa-keybase:before {
+  content: "\f4f5"; }
+
+.fa-apple-pay:before {
+  content: "\f415"; }
+
+.fa-padlet:before {
+  content: "\e4a0"; }
+
+.fa-amazon-pay:before {
+  content: "\f42c"; }
+
+.fa-square-github:before {
+  content: "\f092"; }
+
+.fa-github-square:before {
+  content: "\f092"; }
+
+.fa-stumbleupon:before {
+  content: "\f1a4"; }
+
+.fa-fedex:before {
+  content: "\f797"; }
+
+.fa-phoenix-framework:before {
+  content: "\f3dc"; }
+
+.fa-shopify:before {
+  content: "\e057"; }
+
+.fa-neos:before {
+  content: "\f612"; }
+
+.fa-square-threads:before {
+  content: "\e619"; }
+
+.fa-hackerrank:before {
+  content: "\f5f7"; }
+
+.fa-researchgate:before {
+  content: "\f4f8"; }
+
+.fa-swift:before {
+  content: "\f8e1"; }
+
+.fa-angular:before {
+  content: "\f420"; }
+
+.fa-speakap:before {
+  content: "\f3f3"; }
+
+.fa-angrycreative:before {
+  content: "\f36e"; }
+
+.fa-y-combinator:before {
+  content: "\f23b"; }
+
+.fa-empire:before {
+  content: "\f1d1"; }
+
+.fa-envira:before {
+  content: "\f299"; }
+
+.fa-google-scholar:before {
+  content: "\e63b"; }
+
+.fa-square-gitlab:before {
+  content: "\e5ae"; }
+
+.fa-gitlab-square:before {
+  content: "\e5ae"; }
+
+.fa-studiovinari:before {
+  content: "\f3f8"; }
+
+.fa-pied-piper:before {
+  content: "\f2ae"; }
+
+.fa-wordpress:before {
+  content: "\f19a"; }
+
+.fa-product-hunt:before {
+  content: "\f288"; }
+
+.fa-firefox:before {
+  content: "\f269"; }
+
+.fa-linode:before {
+  content: "\f2b8"; }
+
+.fa-goodreads:before {
+  content: "\f3a8"; }
+
+.fa-square-odnoklassniki:before {
+  content: "\f264"; }
+
+.fa-odnoklassniki-square:before {
+  content: "\f264"; }
+
+.fa-jsfiddle:before {
+  content: "\f1cc"; }
+
+.fa-sith:before {
+  content: "\f512"; }
+
+.fa-themeisle:before {
+  content: "\f2b2"; }
+
+.fa-page4:before {
+  content: "\f3d7"; }
+
+.fa-hashnode:before {
+  content: "\e499"; }
+
+.fa-react:before {
+  content: "\f41b"; }
+
+.fa-cc-paypal:before {
+  content: "\f1f4"; }
+
+.fa-squarespace:before {
+  content: "\f5be"; }
+
+.fa-cc-stripe:before {
+  content: "\f1f5"; }
+
+.fa-creative-commons-share:before {
+  content: "\f4f2"; }
+
+.fa-bitcoin:before {
+  content: "\f379"; }
+
+.fa-keycdn:before {
+  content: "\f3ba"; }
+
+.fa-opera:before {
+  content: "\f26a"; }
+
+.fa-itch-io:before {
+  content: "\f83a"; }
+
+.fa-umbraco:before {
+  content: "\f8e8"; }
+
+.fa-galactic-senate:before {
+  content: "\f50d"; }
+
+.fa-ubuntu:before {
+  content: "\f7df"; }
+
+.fa-draft2digital:before {
+  content: "\f396"; }
+
+.fa-stripe:before {
+  content: "\f429"; }
+
+.fa-houzz:before {
+  content: "\f27c"; }
+
+.fa-gg:before {
+  content: "\f260"; }
+
+.fa-dhl:before {
+  content: "\f790"; }
+
+.fa-square-pinterest:before {
+  content: "\f0d3"; }
+
+.fa-pinterest-square:before {
+  content: "\f0d3"; }
+
+.fa-xing:before {
+  content: "\f168"; }
+
+.fa-blackberry:before {
+  content: "\f37b"; }
+
+.fa-creative-commons-pd:before {
+  content: "\f4ec"; }
+
+.fa-playstation:before {
+  content: "\f3df"; }
+
+.fa-quinscape:before {
+  content: "\f459"; }
+
+.fa-less:before {
+  content: "\f41d"; }
+
+.fa-blogger-b:before {
+  content: "\f37d"; }
+
+.fa-opencart:before {
+  content: "\f23d"; }
+
+.fa-vine:before {
+  content: "\f1ca"; }
+
+.fa-signal-messenger:before {
+  content: "\e663"; }
+
+.fa-paypal:before {
+  content: "\f1ed"; }
+
+.fa-gitlab:before {
+  content: "\f296"; }
+
+.fa-typo3:before {
+  content: "\f42b"; }
+
+.fa-reddit-alien:before {
+  content: "\f281"; }
+
+.fa-yahoo:before {
+  content: "\f19e"; }
+
+.fa-dailymotion:before {
+  content: "\e052"; }
+
+.fa-affiliatetheme:before {
+  content: "\f36b"; }
+
+.fa-pied-piper-pp:before {
+  content: "\f1a7"; }
+
+.fa-bootstrap:before {
+  content: "\f836"; }
+
+.fa-odnoklassniki:before {
+  content: "\f263"; }
+
+.fa-nfc-symbol:before {
+  content: "\e531"; }
+
+.fa-mintbit:before {
+  content: "\e62f"; }
+
+.fa-ethereum:before {
+  content: "\f42e"; }
+
+.fa-speaker-deck:before {
+  content: "\f83c"; }
+
+.fa-creative-commons-nc-eu:before {
+  content: "\f4e9"; }
+
+.fa-patreon:before {
+  content: "\f3d9"; }
+
+.fa-avianex:before {
+  content: "\f374"; }
+
+.fa-ello:before {
+  content: "\f5f1"; }
+
+.fa-gofore:before {
+  content: "\f3a7"; }
+
+.fa-bimobject:before {
+  content: "\f378"; }
+
+.fa-brave-reverse:before {
+  content: "\e63d"; }
+
+.fa-facebook-f:before {
+  content: "\f39e"; }
+
+.fa-square-google-plus:before {
+  content: "\f0d4"; }
+
+.fa-google-plus-square:before {
+  content: "\f0d4"; }
+
+.fa-web-awesome:before {
+  content: "\e682"; }
+
+.fa-mandalorian:before {
+  content: "\f50f"; }
+
+.fa-first-order-alt:before {
+  content: "\f50a"; }
+
+.fa-osi:before {
+  content: "\f41a"; }
+
+.fa-google-wallet:before {
+  content: "\f1ee"; }
+
+.fa-d-and-d-beyond:before {
+  content: "\f6ca"; }
+
+.fa-periscope:before {
+  content: "\f3da"; }
+
+.fa-fulcrum:before {
+  content: "\f50b"; }
+
+.fa-cloudscale:before {
+  content: "\f383"; }
+
+.fa-forumbee:before {
+  content: "\f211"; }
+
+.fa-mizuni:before {
+  content: "\f3cc"; }
+
+.fa-schlix:before {
+  content: "\f3ea"; }
+
+.fa-square-xing:before {
+  content: "\f169"; }
+
+.fa-xing-square:before {
+  content: "\f169"; }
+
+.fa-bandcamp:before {
+  content: "\f2d5"; }
+
+.fa-wpforms:before {
+  content: "\f298"; }
+
+.fa-cloudversify:before {
+  content: "\f385"; }
+
+.fa-usps:before {
+  content: "\f7e1"; }
+
+.fa-megaport:before {
+  content: "\f5a3"; }
+
+.fa-magento:before {
+  content: "\f3c4"; }
+
+.fa-spotify:before {
+  content: "\f1bc"; }
+
+.fa-optin-monster:before {
+  content: "\f23c"; }
+
+.fa-fly:before {
+  content: "\f417"; }
+
+.fa-aviato:before {
+  content: "\f421"; }
+
+.fa-itunes:before {
+  content: "\f3b4"; }
+
+.fa-cuttlefish:before {
+  content: "\f38c"; }
+
+.fa-blogger:before {
+  content: "\f37c"; }
+
+.fa-flickr:before {
+  content: "\f16e"; }
+
+.fa-viber:before {
+  content: "\f409"; }
+
+.fa-soundcloud:before {
+  content: "\f1be"; }
+
+.fa-digg:before {
+  content: "\f1a6"; }
+
+.fa-tencent-weibo:before {
+  content: "\f1d5"; }
+
+.fa-letterboxd:before {
+  content: "\e62d"; }
+
+.fa-symfony:before {
+  content: "\f83d"; }
+
+.fa-maxcdn:before {
+  content: "\f136"; }
+
+.fa-etsy:before {
+  content: "\f2d7"; }
+
+.fa-facebook-messenger:before {
+  content: "\f39f"; }
+
+.fa-audible:before {
+  content: "\f373"; }
+
+.fa-think-peaks:before {
+  content: "\f731"; }
+
+.fa-bilibili:before {
+  content: "\e3d9"; }
+
+.fa-erlang:before {
+  content: "\f39d"; }
+
+.fa-x-twitter:before {
+  content: "\e61b"; }
+
+.fa-cotton-bureau:before {
+  content: "\f89e"; }
+
+.fa-dashcube:before {
+  content: "\f210"; }
+
+.fa-42-group:before {
+  content: "\e080"; }
+
+.fa-innosoft:before {
+  content: "\e080"; }
+
+.fa-stack-exchange:before {
+  content: "\f18d"; }
+
+.fa-elementor:before {
+  content: "\f430"; }
+
+.fa-square-pied-piper:before {
+  content: "\e01e"; }
+
+.fa-pied-piper-square:before {
+  content: "\e01e"; }
+
+.fa-creative-commons-nd:before {
+  content: "\f4eb"; }
+
+.fa-palfed:before {
+  content: "\f3d8"; }
+
+.fa-superpowers:before {
+  content: "\f2dd"; }
+
+.fa-resolving:before {
+  content: "\f3e7"; }
+
+.fa-xbox:before {
+  content: "\f412"; }
+
+.fa-square-web-awesome-stroke:before {
+  content: "\e684"; }
+
+.fa-searchengin:before {
+  content: "\f3eb"; }
+
+.fa-tiktok:before {
+  content: "\e07b"; }
+
+.fa-square-facebook:before {
+  content: "\f082"; }
+
+.fa-facebook-square:before {
+  content: "\f082"; }
+
+.fa-renren:before {
+  content: "\f18b"; }
+
+.fa-linux:before {
+  content: "\f17c"; }
+
+.fa-glide:before {
+  content: "\f2a5"; }
+
+.fa-linkedin:before {
+  content: "\f08c"; }
+
+.fa-hubspot:before {
+  content: "\f3b2"; }
+
+.fa-deploydog:before {
+  content: "\f38e"; }
+
+.fa-twitch:before {
+  content: "\f1e8"; }
+
+.fa-ravelry:before {
+  content: "\f2d9"; }
+
+.fa-mixer:before {
+  content: "\e056"; }
+
+.fa-square-lastfm:before {
+  content: "\f203"; }
+
+.fa-lastfm-square:before {
+  content: "\f203"; }
+
+.fa-vimeo:before {
+  content: "\f40a"; }
+
+.fa-mendeley:before {
+  content: "\f7b3"; }
+
+.fa-uniregistry:before {
+  content: "\f404"; }
+
+.fa-figma:before {
+  content: "\f799"; }
+
+.fa-creative-commons-remix:before {
+  content: "\f4ee"; }
+
+.fa-cc-amazon-pay:before {
+  content: "\f42d"; }
+
+.fa-dropbox:before {
+  content: "\f16b"; }
+
+.fa-instagram:before {
+  content: "\f16d"; }
+
+.fa-cmplid:before {
+  content: "\e360"; }
+
+.fa-upwork:before {
+  content: "\e641"; }
+
+.fa-facebook:before {
+  content: "\f09a"; }
+
+.fa-gripfire:before {
+  content: "\f3ac"; }
+
+.fa-jedi-order:before {
+  content: "\f50e"; }
+
+.fa-uikit:before {
+  content: "\f403"; }
+
+.fa-fort-awesome-alt:before {
+  content: "\f3a3"; }
+
+.fa-phabricator:before {
+  content: "\f3db"; }
+
+.fa-ussunnah:before {
+  content: "\f407"; }
+
+.fa-earlybirds:before {
+  content: "\f39a"; }
+
+.fa-trade-federation:before {
+  content: "\f513"; }
+
+.fa-autoprefixer:before {
+  content: "\f41c"; }
+
+.fa-whatsapp:before {
+  content: "\f232"; }
+
+.fa-square-upwork:before {
+  content: "\e67c"; }
+
+.fa-slideshare:before {
+  content: "\f1e7"; }
+
+.fa-google-play:before {
+  content: "\f3ab"; }
+
+.fa-viadeo:before {
+  content: "\f2a9"; }
+
+.fa-line:before {
+  content: "\f3c0"; }
+
+.fa-google-drive:before {
+  content: "\f3aa"; }
+
+.fa-servicestack:before {
+  content: "\f3ec"; }
+
+.fa-simplybuilt:before {
+  content: "\f215"; }
+
+.fa-bitbucket:before {
+  content: "\f171"; }
+
+.fa-imdb:before {
+  content: "\f2d8"; }
+
+.fa-deezer:before {
+  content: "\e077"; }
+
+.fa-raspberry-pi:before {
+  content: "\f7bb"; }
+
+.fa-jira:before {
+  content: "\f7b1"; }
+
+.fa-docker:before {
+  content: "\f395"; }
+
+.fa-screenpal:before {
+  content: "\e570"; }
+
+.fa-bluetooth:before {
+  content: "\f293"; }
+
+.fa-gitter:before {
+  content: "\f426"; }
+
+.fa-d-and-d:before {
+  content: "\f38d"; }
+
+.fa-microblog:before {
+  content: "\e01a"; }
+
+.fa-cc-diners-club:before {
+  content: "\f24c"; }
+
+.fa-gg-circle:before {
+  content: "\f261"; }
+
+.fa-pied-piper-hat:before {
+  content: "\f4e5"; }
+
+.fa-kickstarter-k:before {
+  content: "\f3bc"; }
+
+.fa-yandex:before {
+  content: "\f413"; }
+
+.fa-readme:before {
+  content: "\f4d5"; }
+
+.fa-html5:before {
+  content: "\f13b"; }
+
+.fa-sellsy:before {
+  content: "\f213"; }
+
+.fa-square-web-awesome:before {
+  content: "\e683"; }
+
+.fa-sass:before {
+  content: "\f41e"; }
+
+.fa-wirsindhandwerk:before {
+  content: "\e2d0"; }
+
+.fa-wsh:before {
+  content: "\e2d0"; }
+
+.fa-buromobelexperte:before {
+  content: "\f37f"; }
+
+.fa-salesforce:before {
+  content: "\f83b"; }
+
+.fa-octopus-deploy:before {
+  content: "\e082"; }
+
+.fa-medapps:before {
+  content: "\f3c6"; }
+
+.fa-ns8:before {
+  content: "\f3d5"; }
+
+.fa-pinterest-p:before {
+  content: "\f231"; }
+
+.fa-apper:before {
+  content: "\f371"; }
+
+.fa-fort-awesome:before {
+  content: "\f286"; }
+
+.fa-waze:before {
+  content: "\f83f"; }
+
+.fa-bluesky:before {
+  content: "\e671"; }
+
+.fa-cc-jcb:before {
+  content: "\f24b"; }
+
+.fa-snapchat:before {
+  content: "\f2ab"; }
+
+.fa-snapchat-ghost:before {
+  content: "\f2ab"; }
+
+.fa-fantasy-flight-games:before {
+  content: "\f6dc"; }
+
+.fa-rust:before {
+  content: "\e07a"; }
+
+.fa-wix:before {
+  content: "\f5cf"; }
+
+.fa-square-behance:before {
+  content: "\f1b5"; }
+
+.fa-behance-square:before {
+  content: "\f1b5"; }
+
+.fa-supple:before {
+  content: "\f3f9"; }
+
+.fa-webflow:before {
+  content: "\e65c"; }
+
+.fa-rebel:before {
+  content: "\f1d0"; }
+
+.fa-css3:before {
+  content: "\f13c"; }
+
+.fa-staylinked:before {
+  content: "\f3f5"; }
+
+.fa-kaggle:before {
+  content: "\f5fa"; }
+
+.fa-space-awesome:before {
+  content: "\e5ac"; }
+
+.fa-deviantart:before {
+  content: "\f1bd"; }
+
+.fa-cpanel:before {
+  content: "\f388"; }
+
+.fa-goodreads-g:before {
+  content: "\f3a9"; }
+
+.fa-square-git:before {
+  content: "\f1d2"; }
+
+.fa-git-square:before {
+  content: "\f1d2"; }
+
+.fa-square-tumblr:before {
+  content: "\f174"; }
+
+.fa-tumblr-square:before {
+  content: "\f174"; }
+
+.fa-trello:before {
+  content: "\f181"; }
+
+.fa-creative-commons-nc-jp:before {
+  content: "\f4ea"; }
+
+.fa-get-pocket:before {
+  content: "\f265"; }
+
+.fa-perbyte:before {
+  content: "\e083"; }
+
+.fa-grunt:before {
+  content: "\f3ad"; }
+
+.fa-weebly:before {
+  content: "\f5cc"; }
+
+.fa-connectdevelop:before {
+  content: "\f20e"; }
+
+.fa-leanpub:before {
+  content: "\f212"; }
+
+.fa-black-tie:before {
+  content: "\f27e"; }
+
+.fa-themeco:before {
+  content: "\f5c6"; }
+
+.fa-python:before {
+  content: "\f3e2"; }
+
+.fa-android:before {
+  content: "\f17b"; }
+
+.fa-bots:before {
+  content: "\e340"; }
+
+.fa-free-code-camp:before {
+  content: "\f2c5"; }
+
+.fa-hornbill:before {
+  content: "\f592"; }
+
+.fa-js:before {
+  content: "\f3b8"; }
+
+.fa-ideal:before {
+  content: "\e013"; }
+
+.fa-git:before {
+  content: "\f1d3"; }
+
+.fa-dev:before {
+  content: "\f6cc"; }
+
+.fa-sketch:before {
+  content: "\f7c6"; }
+
+.fa-yandex-international:before {
+  content: "\f414"; }
+
+.fa-cc-amex:before {
+  content: "\f1f3"; }
+
+.fa-uber:before {
+  content: "\f402"; }
+
+.fa-github:before {
+  content: "\f09b"; }
+
+.fa-php:before {
+  content: "\f457"; }
+
+.fa-alipay:before {
+  content: "\f642"; }
+
+.fa-youtube:before {
+  content: "\f167"; }
+
+.fa-skyatlas:before {
+  content: "\f216"; }
+
+.fa-firefox-browser:before {
+  content: "\e007"; }
+
+.fa-replyd:before {
+  content: "\f3e6"; }
+
+.fa-suse:before {
+  content: "\f7d6"; }
+
+.fa-jenkins:before {
+  content: "\f3b6"; }
+
+.fa-twitter:before {
+  content: "\f099"; }
+
+.fa-rockrms:before {
+  content: "\f3e9"; }
+
+.fa-pinterest:before {
+  content: "\f0d2"; }
+
+.fa-buffer:before {
+  content: "\f837"; }
+
+.fa-npm:before {
+  content: "\f3d4"; }
+
+.fa-yammer:before {
+  content: "\f840"; }
+
+.fa-btc:before {
+  content: "\f15a"; }
+
+.fa-dribbble:before {
+  content: "\f17d"; }
+
+.fa-stumbleupon-circle:before {
+  content: "\f1a3"; }
+
+.fa-internet-explorer:before {
+  content: "\f26b"; }
+
+.fa-stubber:before {
+  content: "\e5c7"; }
+
+.fa-telegram:before {
+  content: "\f2c6"; }
+
+.fa-telegram-plane:before {
+  content: "\f2c6"; }
+
+.fa-old-republic:before {
+  content: "\f510"; }
+
+.fa-odysee:before {
+  content: "\e5c6"; }
+
+.fa-square-whatsapp:before {
+  content: "\f40c"; }
+
+.fa-whatsapp-square:before {
+  content: "\f40c"; }
+
+.fa-node-js:before {
+  content: "\f3d3"; }
+
+.fa-edge-legacy:before {
+  content: "\e078"; }
+
+.fa-slack:before {
+  content: "\f198"; }
+
+.fa-slack-hash:before {
+  content: "\f198"; }
+
+.fa-medrt:before {
+  content: "\f3c8"; }
+
+.fa-usb:before {
+  content: "\f287"; }
+
+.fa-tumblr:before {
+  content: "\f173"; }
+
+.fa-vaadin:before {
+  content: "\f408"; }
+
+.fa-quora:before {
+  content: "\f2c4"; }
+
+.fa-square-x-twitter:before {
+  content: "\e61a"; }
+
+.fa-reacteurope:before {
+  content: "\f75d"; }
+
+.fa-medium:before {
+  content: "\f23a"; }
+
+.fa-medium-m:before {
+  content: "\f23a"; }
+
+.fa-amilia:before {
+  content: "\f36d"; }
+
+.fa-mixcloud:before {
+  content: "\f289"; }
+
+.fa-flipboard:before {
+  content: "\f44d"; }
+
+.fa-viacoin:before {
+  content: "\f237"; }
+
+.fa-critical-role:before {
+  content: "\f6c9"; }
+
+.fa-sitrox:before {
+  content: "\e44a"; }
+
+.fa-discourse:before {
+  content: "\f393"; }
+
+.fa-joomla:before {
+  content: "\f1aa"; }
+
+.fa-mastodon:before {
+  content: "\f4f6"; }
+
+.fa-airbnb:before {
+  content: "\f834"; }
+
+.fa-wolf-pack-battalion:before {
+  content: "\f514"; }
+
+.fa-buy-n-large:before {
+  content: "\f8a6"; }
+
+.fa-gulp:before {
+  content: "\f3ae"; }
+
+.fa-creative-commons-sampling-plus:before {
+  content: "\f4f1"; }
+
+.fa-strava:before {
+  content: "\f428"; }
+
+.fa-ember:before {
+  content: "\f423"; }
+
+.fa-canadian-maple-leaf:before {
+  content: "\f785"; }
+
+.fa-teamspeak:before {
+  content: "\f4f9"; }
+
+.fa-pushed:before {
+  content: "\f3e1"; }
+
+.fa-wordpress-simple:before {
+  content: "\f411"; }
+
+.fa-nutritionix:before {
+  content: "\f3d6"; }
+
+.fa-wodu:before {
+  content: "\e088"; }
+
+.fa-google-pay:before {
+  content: "\e079"; }
+
+.fa-intercom:before {
+  content: "\f7af"; }
+
+.fa-zhihu:before {
+  content: "\f63f"; }
+
+.fa-korvue:before {
+  content: "\f42f"; }
+
+.fa-pix:before {
+  content: "\e43a"; }
+
+.fa-steam-symbol:before {
+  content: "\f3f6"; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-regular: normal 400 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+.far,
+.fa-regular {
+  font-weight: 400; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-solid: normal 900 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 900;
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+.fas,
+.fa-solid {
+  font-weight: 900; }
+@font-face {
+  font-family: 'Font Awesome 5 Brands';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 900;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-v4compatibility.woff2") format("woff2"), url("../webfonts/fa-v4compatibility.ttf") format("truetype"); }
diff --git a/docs/deps/font-awesome-6.5.2/css/all.min.css b/docs/deps/font-awesome-6.5.2/css/all.min.css
new file mode 100644
index 000000000..269bceeae
--- /dev/null
+++ b/docs/deps/font-awesome-6.5.2/css/all.min.css
@@ -0,0 +1,9 @@
+/*!
+ * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2024 Fonticons, Inc.
+ */
+.fa{font-family:var(--fa-style-family,"Font Awesome 6 Free");font-weight:var(--fa-style,900)}.fa,.fa-brands,.fa-classic,.fa-regular,.fa-sharp,.fa-solid,.fab,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:var(--fa-display,inline-block);font-style:normal;font-variant:normal;line-height:1;text-rendering:auto}.fa-classic,.fa-regular,.fa-solid,.far,.fas{font-family:"Font Awesome 6 Free"}.fa-brands,.fab{font-family:"Font Awesome 6 Brands"}.fa-1x{font-size:1em}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-6x{font-size:6em}.fa-7x{font-size:7em}.fa-8x{font-size:8em}.fa-9x{font-size:9em}.fa-10x{font-size:10em}.fa-2xs{font-size:.625em;line-height:.1em;vertical-align:.225em}.fa-xs{font-size:.75em;line-height:.08333em;vertical-align:.125em}.fa-sm{font-size:.875em;line-height:.07143em;vertical-align:.05357em}.fa-lg{font-size:1.25em;line-height:.05em;vertical-align:-.075em}.fa-xl{font-size:1.5em;line-height:.04167em;vertical-align:-.125em}.fa-2xl{font-size:2em;line-height:.03125em;vertical-align:-.1875em}.fa-fw{text-align:center;width:1.25em}.fa-ul{list-style-type:none;margin-left:var(--fa-li-margin,2.5em);padding-left:0}.fa-ul>li{position:relative}.fa-li{left:calc(var(--fa-li-width, 2em)*-1);position:absolute;text-align:center;width:var(--fa-li-width,2em);line-height:inherit}.fa-border{border-radius:var(--fa-border-radius,.1em);border:var(--fa-border-width,.08em) var(--fa-border-style,solid) var(--fa-border-color,#eee);padding:var(--fa-border-padding,.2em .25em .15em)}.fa-pull-left{float:left;margin-right:var(--fa-pull-margin,.3em)}.fa-pull-right{float:right;margin-left:var(--fa-pull-margin,.3em)}.fa-beat{-webkit-animation-name:fa-beat;animation-name:fa-beat;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-bounce{-webkit-animation-name:fa-bounce;animation-name:fa-bounce;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1))}.fa-fade{-webkit-animation-name:fa-fade;animation-name:fa-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-beat-fade,.fa-fade{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s)}.fa-beat-fade{-webkit-animation-name:fa-beat-fade;animation-name:fa-beat-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-flip{-webkit-animation-name:fa-flip;animation-name:fa-flip;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-shake{-webkit-animation-name:fa-shake;animation-name:fa-shake;-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-shake,.fa-spin{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal)}.fa-spin{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-duration:var(--fa-animation-duration,2s);animation-duration:var(--fa-animation-duration,2s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-spin-reverse{--fa-animation-direction:reverse}.fa-pulse,.fa-spin-pulse{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,steps(8));animation-timing-function:var(--fa-animation-timing,steps(8))}@media (prefers-reduced-motion:reduce){.fa-beat,.fa-beat-fade,.fa-bounce,.fa-fade,.fa-flip,.fa-pulse,.fa-shake,.fa-spin,.fa-spin-pulse{-webkit-animation-delay:-1ms;animation-delay:-1ms;-webkit-animation-duration:1ms;animation-duration:1ms;-webkit-animation-iteration-count:1;animation-iteration-count:1;-webkit-transition-delay:0s;transition-delay:0s;-webkit-transition-duration:0s;transition-duration:0s}}@-webkit-keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@-webkit-keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@-webkit-keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@-webkit-keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@-webkit-keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@-webkit-keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}@keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}.fa-rotate-90{-webkit-transform:rotate(90deg);transform:rotate(90deg)}.fa-rotate-180{-webkit-transform:rotate(180deg);transform:rotate(180deg)}.fa-rotate-270{-webkit-transform:rotate(270deg);transform:rotate(270deg)}.fa-flip-horizontal{-webkit-transform:scaleX(-1);transform:scaleX(-1)}.fa-flip-vertical{-webkit-transform:scaleY(-1);transform:scaleY(-1)}.fa-flip-both,.fa-flip-horizontal.fa-flip-vertical{-webkit-transform:scale(-1);transform:scale(-1)}.fa-rotate-by{-webkit-transform:rotate(var(--fa-rotate-angle,0));transform:rotate(var(--fa-rotate-angle,0))}.fa-stack{display:inline-block;height:2em;line-height:2em;position:relative;vertical-align:middle;width:2.5em}.fa-stack-1x,.fa-stack-2x{left:0;position:absolute;text-align:center;width:100%;z-index:var(--fa-stack-z-index,auto)}.fa-stack-1x{line-height:inherit}.fa-stack-2x{font-size:2em}.fa-inverse{color:var(--fa-inverse,#fff)}
+
+.fa-0:before{content:"\30"}.fa-1:before{content:"\31"}.fa-2:before{content:"\32"}.fa-3:before{content:"\33"}.fa-4:before{content:"\34"}.fa-5:before{content:"\35"}.fa-6:before{content:"\36"}.fa-7:before{content:"\37"}.fa-8:before{content:"\38"}.fa-9:before{content:"\39"}.fa-fill-drip:before{content:"\f576"}.fa-arrows-to-circle:before{content:"\e4bd"}.fa-chevron-circle-right:before,.fa-circle-chevron-right:before{content:"\f138"}.fa-at:before{content:"\40"}.fa-trash-alt:before,.fa-trash-can:before{content:"\f2ed"}.fa-text-height:before{content:"\f034"}.fa-user-times:before,.fa-user-xmark:before{content:"\f235"}.fa-stethoscope:before{content:"\f0f1"}.fa-comment-alt:before,.fa-message:before{content:"\f27a"}.fa-info:before{content:"\f129"}.fa-compress-alt:before,.fa-down-left-and-up-right-to-center:before{content:"\f422"}.fa-explosion:before{content:"\e4e9"}.fa-file-alt:before,.fa-file-lines:before,.fa-file-text:before{content:"\f15c"}.fa-wave-square:before{content:"\f83e"}.fa-ring:before{content:"\f70b"}.fa-building-un:before{content:"\e4d9"}.fa-dice-three:before{content:"\f527"}.fa-calendar-alt:before,.fa-calendar-days:before{content:"\f073"}.fa-anchor-circle-check:before{content:"\e4aa"}.fa-building-circle-arrow-right:before{content:"\e4d1"}.fa-volleyball-ball:before,.fa-volleyball:before{content:"\f45f"}.fa-arrows-up-to-line:before{content:"\e4c2"}.fa-sort-desc:before,.fa-sort-down:before{content:"\f0dd"}.fa-circle-minus:before,.fa-minus-circle:before{content:"\f056"}.fa-door-open:before{content:"\f52b"}.fa-right-from-bracket:before,.fa-sign-out-alt:before{content:"\f2f5"}.fa-atom:before{content:"\f5d2"}.fa-soap:before{content:"\e06e"}.fa-heart-music-camera-bolt:before,.fa-icons:before{content:"\f86d"}.fa-microphone-alt-slash:before,.fa-microphone-lines-slash:before{content:"\f539"}.fa-bridge-circle-check:before{content:"\e4c9"}.fa-pump-medical:before{content:"\e06a"}.fa-fingerprint:before{content:"\f577"}.fa-hand-point-right:before{content:"\f0a4"}.fa-magnifying-glass-location:before,.fa-search-location:before{content:"\f689"}.fa-forward-step:before,.fa-step-forward:before{content:"\f051"}.fa-face-smile-beam:before,.fa-smile-beam:before{content:"\f5b8"}.fa-flag-checkered:before{content:"\f11e"}.fa-football-ball:before,.fa-football:before{content:"\f44e"}.fa-school-circle-exclamation:before{content:"\e56c"}.fa-crop:before{content:"\f125"}.fa-angle-double-down:before,.fa-angles-down:before{content:"\f103"}.fa-users-rectangle:before{content:"\e594"}.fa-people-roof:before{content:"\e537"}.fa-people-line:before{content:"\e534"}.fa-beer-mug-empty:before,.fa-beer:before{content:"\f0fc"}.fa-diagram-predecessor:before{content:"\e477"}.fa-arrow-up-long:before,.fa-long-arrow-up:before{content:"\f176"}.fa-burn:before,.fa-fire-flame-simple:before{content:"\f46a"}.fa-male:before,.fa-person:before{content:"\f183"}.fa-laptop:before{content:"\f109"}.fa-file-csv:before{content:"\f6dd"}.fa-menorah:before{content:"\f676"}.fa-truck-plane:before{content:"\e58f"}.fa-record-vinyl:before{content:"\f8d9"}.fa-face-grin-stars:before,.fa-grin-stars:before{content:"\f587"}.fa-bong:before{content:"\f55c"}.fa-pastafarianism:before,.fa-spaghetti-monster-flying:before{content:"\f67b"}.fa-arrow-down-up-across-line:before{content:"\e4af"}.fa-spoon:before,.fa-utensil-spoon:before{content:"\f2e5"}.fa-jar-wheat:before{content:"\e517"}.fa-envelopes-bulk:before,.fa-mail-bulk:before{content:"\f674"}.fa-file-circle-exclamation:before{content:"\e4eb"}.fa-circle-h:before,.fa-hospital-symbol:before{content:"\f47e"}.fa-pager:before{content:"\f815"}.fa-address-book:before,.fa-contact-book:before{content:"\f2b9"}.fa-strikethrough:before{content:"\f0cc"}.fa-k:before{content:"\4b"}.fa-landmark-flag:before{content:"\e51c"}.fa-pencil-alt:before,.fa-pencil:before{content:"\f303"}.fa-backward:before{content:"\f04a"}.fa-caret-right:before{content:"\f0da"}.fa-comments:before{content:"\f086"}.fa-file-clipboard:before,.fa-paste:before{content:"\f0ea"}.fa-code-pull-request:before{content:"\e13c"}.fa-clipboard-list:before{content:"\f46d"}.fa-truck-loading:before,.fa-truck-ramp-box:before{content:"\f4de"}.fa-user-check:before{content:"\f4fc"}.fa-vial-virus:before{content:"\e597"}.fa-sheet-plastic:before{content:"\e571"}.fa-blog:before{content:"\f781"}.fa-user-ninja:before{content:"\f504"}.fa-person-arrow-up-from-line:before{content:"\e539"}.fa-scroll-torah:before,.fa-torah:before{content:"\f6a0"}.fa-broom-ball:before,.fa-quidditch-broom-ball:before,.fa-quidditch:before{content:"\f458"}.fa-toggle-off:before{content:"\f204"}.fa-archive:before,.fa-box-archive:before{content:"\f187"}.fa-person-drowning:before{content:"\e545"}.fa-arrow-down-9-1:before,.fa-sort-numeric-desc:before,.fa-sort-numeric-down-alt:before{content:"\f886"}.fa-face-grin-tongue-squint:before,.fa-grin-tongue-squint:before{content:"\f58a"}.fa-spray-can:before{content:"\f5bd"}.fa-truck-monster:before{content:"\f63b"}.fa-w:before{content:"\57"}.fa-earth-africa:before,.fa-globe-africa:before{content:"\f57c"}.fa-rainbow:before{content:"\f75b"}.fa-circle-notch:before{content:"\f1ce"}.fa-tablet-alt:before,.fa-tablet-screen-button:before{content:"\f3fa"}.fa-paw:before{content:"\f1b0"}.fa-cloud:before{content:"\f0c2"}.fa-trowel-bricks:before{content:"\e58a"}.fa-face-flushed:before,.fa-flushed:before{content:"\f579"}.fa-hospital-user:before{content:"\f80d"}.fa-tent-arrow-left-right:before{content:"\e57f"}.fa-gavel:before,.fa-legal:before{content:"\f0e3"}.fa-binoculars:before{content:"\f1e5"}.fa-microphone-slash:before{content:"\f131"}.fa-box-tissue:before{content:"\e05b"}.fa-motorcycle:before{content:"\f21c"}.fa-bell-concierge:before,.fa-concierge-bell:before{content:"\f562"}.fa-pen-ruler:before,.fa-pencil-ruler:before{content:"\f5ae"}.fa-people-arrows-left-right:before,.fa-people-arrows:before{content:"\e068"}.fa-mars-and-venus-burst:before{content:"\e523"}.fa-caret-square-right:before,.fa-square-caret-right:before{content:"\f152"}.fa-cut:before,.fa-scissors:before{content:"\f0c4"}.fa-sun-plant-wilt:before{content:"\e57a"}.fa-toilets-portable:before{content:"\e584"}.fa-hockey-puck:before{content:"\f453"}.fa-table:before{content:"\f0ce"}.fa-magnifying-glass-arrow-right:before{content:"\e521"}.fa-digital-tachograph:before,.fa-tachograph-digital:before{content:"\f566"}.fa-users-slash:before{content:"\e073"}.fa-clover:before{content:"\e139"}.fa-mail-reply:before,.fa-reply:before{content:"\f3e5"}.fa-star-and-crescent:before{content:"\f699"}.fa-house-fire:before{content:"\e50c"}.fa-minus-square:before,.fa-square-minus:before{content:"\f146"}.fa-helicopter:before{content:"\f533"}.fa-compass:before{content:"\f14e"}.fa-caret-square-down:before,.fa-square-caret-down:before{content:"\f150"}.fa-file-circle-question:before{content:"\e4ef"}.fa-laptop-code:before{content:"\f5fc"}.fa-swatchbook:before{content:"\f5c3"}.fa-prescription-bottle:before{content:"\f485"}.fa-bars:before,.fa-navicon:before{content:"\f0c9"}.fa-people-group:before{content:"\e533"}.fa-hourglass-3:before,.fa-hourglass-end:before{content:"\f253"}.fa-heart-broken:before,.fa-heart-crack:before{content:"\f7a9"}.fa-external-link-square-alt:before,.fa-square-up-right:before{content:"\f360"}.fa-face-kiss-beam:before,.fa-kiss-beam:before{content:"\f597"}.fa-film:before{content:"\f008"}.fa-ruler-horizontal:before{content:"\f547"}.fa-people-robbery:before{content:"\e536"}.fa-lightbulb:before{content:"\f0eb"}.fa-caret-left:before{content:"\f0d9"}.fa-circle-exclamation:before,.fa-exclamation-circle:before{content:"\f06a"}.fa-school-circle-xmark:before{content:"\e56d"}.fa-arrow-right-from-bracket:before,.fa-sign-out:before{content:"\f08b"}.fa-chevron-circle-down:before,.fa-circle-chevron-down:before{content:"\f13a"}.fa-unlock-alt:before,.fa-unlock-keyhole:before{content:"\f13e"}.fa-cloud-showers-heavy:before{content:"\f740"}.fa-headphones-alt:before,.fa-headphones-simple:before{content:"\f58f"}.fa-sitemap:before{content:"\f0e8"}.fa-circle-dollar-to-slot:before,.fa-donate:before{content:"\f4b9"}.fa-memory:before{content:"\f538"}.fa-road-spikes:before{content:"\e568"}.fa-fire-burner:before{content:"\e4f1"}.fa-flag:before{content:"\f024"}.fa-hanukiah:before{content:"\f6e6"}.fa-feather:before{content:"\f52d"}.fa-volume-down:before,.fa-volume-low:before{content:"\f027"}.fa-comment-slash:before{content:"\f4b3"}.fa-cloud-sun-rain:before{content:"\f743"}.fa-compress:before{content:"\f066"}.fa-wheat-alt:before,.fa-wheat-awn:before{content:"\e2cd"}.fa-ankh:before{content:"\f644"}.fa-hands-holding-child:before{content:"\e4fa"}.fa-asterisk:before{content:"\2a"}.fa-check-square:before,.fa-square-check:before{content:"\f14a"}.fa-peseta-sign:before{content:"\e221"}.fa-header:before,.fa-heading:before{content:"\f1dc"}.fa-ghost:before{content:"\f6e2"}.fa-list-squares:before,.fa-list:before{content:"\f03a"}.fa-phone-square-alt:before,.fa-square-phone-flip:before{content:"\f87b"}.fa-cart-plus:before{content:"\f217"}.fa-gamepad:before{content:"\f11b"}.fa-circle-dot:before,.fa-dot-circle:before{content:"\f192"}.fa-dizzy:before,.fa-face-dizzy:before{content:"\f567"}.fa-egg:before{content:"\f7fb"}.fa-house-medical-circle-xmark:before{content:"\e513"}.fa-campground:before{content:"\f6bb"}.fa-folder-plus:before{content:"\f65e"}.fa-futbol-ball:before,.fa-futbol:before,.fa-soccer-ball:before{content:"\f1e3"}.fa-paint-brush:before,.fa-paintbrush:before{content:"\f1fc"}.fa-lock:before{content:"\f023"}.fa-gas-pump:before{content:"\f52f"}.fa-hot-tub-person:before,.fa-hot-tub:before{content:"\f593"}.fa-map-location:before,.fa-map-marked:before{content:"\f59f"}.fa-house-flood-water:before{content:"\e50e"}.fa-tree:before{content:"\f1bb"}.fa-bridge-lock:before{content:"\e4cc"}.fa-sack-dollar:before{content:"\f81d"}.fa-edit:before,.fa-pen-to-square:before{content:"\f044"}.fa-car-side:before{content:"\f5e4"}.fa-share-alt:before,.fa-share-nodes:before{content:"\f1e0"}.fa-heart-circle-minus:before{content:"\e4ff"}.fa-hourglass-2:before,.fa-hourglass-half:before{content:"\f252"}.fa-microscope:before{content:"\f610"}.fa-sink:before{content:"\e06d"}.fa-bag-shopping:before,.fa-shopping-bag:before{content:"\f290"}.fa-arrow-down-z-a:before,.fa-sort-alpha-desc:before,.fa-sort-alpha-down-alt:before{content:"\f881"}.fa-mitten:before{content:"\f7b5"}.fa-person-rays:before{content:"\e54d"}.fa-users:before{content:"\f0c0"}.fa-eye-slash:before{content:"\f070"}.fa-flask-vial:before{content:"\e4f3"}.fa-hand-paper:before,.fa-hand:before{content:"\f256"}.fa-om:before{content:"\f679"}.fa-worm:before{content:"\e599"}.fa-house-circle-xmark:before{content:"\e50b"}.fa-plug:before{content:"\f1e6"}.fa-chevron-up:before{content:"\f077"}.fa-hand-spock:before{content:"\f259"}.fa-stopwatch:before{content:"\f2f2"}.fa-face-kiss:before,.fa-kiss:before{content:"\f596"}.fa-bridge-circle-xmark:before{content:"\e4cb"}.fa-face-grin-tongue:before,.fa-grin-tongue:before{content:"\f589"}.fa-chess-bishop:before{content:"\f43a"}.fa-face-grin-wink:before,.fa-grin-wink:before{content:"\f58c"}.fa-deaf:before,.fa-deafness:before,.fa-ear-deaf:before,.fa-hard-of-hearing:before{content:"\f2a4"}.fa-road-circle-check:before{content:"\e564"}.fa-dice-five:before{content:"\f523"}.fa-rss-square:before,.fa-square-rss:before{content:"\f143"}.fa-land-mine-on:before{content:"\e51b"}.fa-i-cursor:before{content:"\f246"}.fa-stamp:before{content:"\f5bf"}.fa-stairs:before{content:"\e289"}.fa-i:before{content:"\49"}.fa-hryvnia-sign:before,.fa-hryvnia:before{content:"\f6f2"}.fa-pills:before{content:"\f484"}.fa-face-grin-wide:before,.fa-grin-alt:before{content:"\f581"}.fa-tooth:before{content:"\f5c9"}.fa-v:before{content:"\56"}.fa-bangladeshi-taka-sign:before{content:"\e2e6"}.fa-bicycle:before{content:"\f206"}.fa-rod-asclepius:before,.fa-rod-snake:before,.fa-staff-aesculapius:before,.fa-staff-snake:before{content:"\e579"}.fa-head-side-cough-slash:before{content:"\e062"}.fa-ambulance:before,.fa-truck-medical:before{content:"\f0f9"}.fa-wheat-awn-circle-exclamation:before{content:"\e598"}.fa-snowman:before{content:"\f7d0"}.fa-mortar-pestle:before{content:"\f5a7"}.fa-road-barrier:before{content:"\e562"}.fa-school:before{content:"\f549"}.fa-igloo:before{content:"\f7ae"}.fa-joint:before{content:"\f595"}.fa-angle-right:before{content:"\f105"}.fa-horse:before{content:"\f6f0"}.fa-q:before{content:"\51"}.fa-g:before{content:"\47"}.fa-notes-medical:before{content:"\f481"}.fa-temperature-2:before,.fa-temperature-half:before,.fa-thermometer-2:before,.fa-thermometer-half:before{content:"\f2c9"}.fa-dong-sign:before{content:"\e169"}.fa-capsules:before{content:"\f46b"}.fa-poo-bolt:before,.fa-poo-storm:before{content:"\f75a"}.fa-face-frown-open:before,.fa-frown-open:before{content:"\f57a"}.fa-hand-point-up:before{content:"\f0a6"}.fa-money-bill:before{content:"\f0d6"}.fa-bookmark:before{content:"\f02e"}.fa-align-justify:before{content:"\f039"}.fa-umbrella-beach:before{content:"\f5ca"}.fa-helmet-un:before{content:"\e503"}.fa-bullseye:before{content:"\f140"}.fa-bacon:before{content:"\f7e5"}.fa-hand-point-down:before{content:"\f0a7"}.fa-arrow-up-from-bracket:before{content:"\e09a"}.fa-folder-blank:before,.fa-folder:before{content:"\f07b"}.fa-file-medical-alt:before,.fa-file-waveform:before{content:"\f478"}.fa-radiation:before{content:"\f7b9"}.fa-chart-simple:before{content:"\e473"}.fa-mars-stroke:before{content:"\f229"}.fa-vial:before{content:"\f492"}.fa-dashboard:before,.fa-gauge-med:before,.fa-gauge:before,.fa-tachometer-alt-average:before{content:"\f624"}.fa-magic-wand-sparkles:before,.fa-wand-magic-sparkles:before{content:"\e2ca"}.fa-e:before{content:"\45"}.fa-pen-alt:before,.fa-pen-clip:before{content:"\f305"}.fa-bridge-circle-exclamation:before{content:"\e4ca"}.fa-user:before{content:"\f007"}.fa-school-circle-check:before{content:"\e56b"}.fa-dumpster:before{content:"\f793"}.fa-shuttle-van:before,.fa-van-shuttle:before{content:"\f5b6"}.fa-building-user:before{content:"\e4da"}.fa-caret-square-left:before,.fa-square-caret-left:before{content:"\f191"}.fa-highlighter:before{content:"\f591"}.fa-key:before{content:"\f084"}.fa-bullhorn:before{content:"\f0a1"}.fa-globe:before{content:"\f0ac"}.fa-synagogue:before{content:"\f69b"}.fa-person-half-dress:before{content:"\e548"}.fa-road-bridge:before{content:"\e563"}.fa-location-arrow:before{content:"\f124"}.fa-c:before{content:"\43"}.fa-tablet-button:before{content:"\f10a"}.fa-building-lock:before{content:"\e4d6"}.fa-pizza-slice:before{content:"\f818"}.fa-money-bill-wave:before{content:"\f53a"}.fa-area-chart:before,.fa-chart-area:before{content:"\f1fe"}.fa-house-flag:before{content:"\e50d"}.fa-person-circle-minus:before{content:"\e540"}.fa-ban:before,.fa-cancel:before{content:"\f05e"}.fa-camera-rotate:before{content:"\e0d8"}.fa-air-freshener:before,.fa-spray-can-sparkles:before{content:"\f5d0"}.fa-star:before{content:"\f005"}.fa-repeat:before{content:"\f363"}.fa-cross:before{content:"\f654"}.fa-box:before{content:"\f466"}.fa-venus-mars:before{content:"\f228"}.fa-arrow-pointer:before,.fa-mouse-pointer:before{content:"\f245"}.fa-expand-arrows-alt:before,.fa-maximize:before{content:"\f31e"}.fa-charging-station:before{content:"\f5e7"}.fa-shapes:before,.fa-triangle-circle-square:before{content:"\f61f"}.fa-random:before,.fa-shuffle:before{content:"\f074"}.fa-person-running:before,.fa-running:before{content:"\f70c"}.fa-mobile-retro:before{content:"\e527"}.fa-grip-lines-vertical:before{content:"\f7a5"}.fa-spider:before{content:"\f717"}.fa-hands-bound:before{content:"\e4f9"}.fa-file-invoice-dollar:before{content:"\f571"}.fa-plane-circle-exclamation:before{content:"\e556"}.fa-x-ray:before{content:"\f497"}.fa-spell-check:before{content:"\f891"}.fa-slash:before{content:"\f715"}.fa-computer-mouse:before,.fa-mouse:before{content:"\f8cc"}.fa-arrow-right-to-bracket:before,.fa-sign-in:before{content:"\f090"}.fa-shop-slash:before,.fa-store-alt-slash:before{content:"\e070"}.fa-server:before{content:"\f233"}.fa-virus-covid-slash:before{content:"\e4a9"}.fa-shop-lock:before{content:"\e4a5"}.fa-hourglass-1:before,.fa-hourglass-start:before{content:"\f251"}.fa-blender-phone:before{content:"\f6b6"}.fa-building-wheat:before{content:"\e4db"}.fa-person-breastfeeding:before{content:"\e53a"}.fa-right-to-bracket:before,.fa-sign-in-alt:before{content:"\f2f6"}.fa-venus:before{content:"\f221"}.fa-passport:before{content:"\f5ab"}.fa-heart-pulse:before,.fa-heartbeat:before{content:"\f21e"}.fa-people-carry-box:before,.fa-people-carry:before{content:"\f4ce"}.fa-temperature-high:before{content:"\f769"}.fa-microchip:before{content:"\f2db"}.fa-crown:before{content:"\f521"}.fa-weight-hanging:before{content:"\f5cd"}.fa-xmarks-lines:before{content:"\e59a"}.fa-file-prescription:before{content:"\f572"}.fa-weight-scale:before,.fa-weight:before{content:"\f496"}.fa-user-friends:before,.fa-user-group:before{content:"\f500"}.fa-arrow-up-a-z:before,.fa-sort-alpha-up:before{content:"\f15e"}.fa-chess-knight:before{content:"\f441"}.fa-face-laugh-squint:before,.fa-laugh-squint:before{content:"\f59b"}.fa-wheelchair:before{content:"\f193"}.fa-arrow-circle-up:before,.fa-circle-arrow-up:before{content:"\f0aa"}.fa-toggle-on:before{content:"\f205"}.fa-person-walking:before,.fa-walking:before{content:"\f554"}.fa-l:before{content:"\4c"}.fa-fire:before{content:"\f06d"}.fa-bed-pulse:before,.fa-procedures:before{content:"\f487"}.fa-shuttle-space:before,.fa-space-shuttle:before{content:"\f197"}.fa-face-laugh:before,.fa-laugh:before{content:"\f599"}.fa-folder-open:before{content:"\f07c"}.fa-heart-circle-plus:before{content:"\e500"}.fa-code-fork:before{content:"\e13b"}.fa-city:before{content:"\f64f"}.fa-microphone-alt:before,.fa-microphone-lines:before{content:"\f3c9"}.fa-pepper-hot:before{content:"\f816"}.fa-unlock:before{content:"\f09c"}.fa-colon-sign:before{content:"\e140"}.fa-headset:before{content:"\f590"}.fa-store-slash:before{content:"\e071"}.fa-road-circle-xmark:before{content:"\e566"}.fa-user-minus:before{content:"\f503"}.fa-mars-stroke-up:before,.fa-mars-stroke-v:before{content:"\f22a"}.fa-champagne-glasses:before,.fa-glass-cheers:before{content:"\f79f"}.fa-clipboard:before{content:"\f328"}.fa-house-circle-exclamation:before{content:"\e50a"}.fa-file-arrow-up:before,.fa-file-upload:before{content:"\f574"}.fa-wifi-3:before,.fa-wifi-strong:before,.fa-wifi:before{content:"\f1eb"}.fa-bath:before,.fa-bathtub:before{content:"\f2cd"}.fa-underline:before{content:"\f0cd"}.fa-user-edit:before,.fa-user-pen:before{content:"\f4ff"}.fa-signature:before{content:"\f5b7"}.fa-stroopwafel:before{content:"\f551"}.fa-bold:before{content:"\f032"}.fa-anchor-lock:before{content:"\e4ad"}.fa-building-ngo:before{content:"\e4d7"}.fa-manat-sign:before{content:"\e1d5"}.fa-not-equal:before{content:"\f53e"}.fa-border-style:before,.fa-border-top-left:before{content:"\f853"}.fa-map-location-dot:before,.fa-map-marked-alt:before{content:"\f5a0"}.fa-jedi:before{content:"\f669"}.fa-poll:before,.fa-square-poll-vertical:before{content:"\f681"}.fa-mug-hot:before{content:"\f7b6"}.fa-battery-car:before,.fa-car-battery:before{content:"\f5df"}.fa-gift:before{content:"\f06b"}.fa-dice-two:before{content:"\f528"}.fa-chess-queen:before{content:"\f445"}.fa-glasses:before{content:"\f530"}.fa-chess-board:before{content:"\f43c"}.fa-building-circle-check:before{content:"\e4d2"}.fa-person-chalkboard:before{content:"\e53d"}.fa-mars-stroke-h:before,.fa-mars-stroke-right:before{content:"\f22b"}.fa-hand-back-fist:before,.fa-hand-rock:before{content:"\f255"}.fa-caret-square-up:before,.fa-square-caret-up:before{content:"\f151"}.fa-cloud-showers-water:before{content:"\e4e4"}.fa-bar-chart:before,.fa-chart-bar:before{content:"\f080"}.fa-hands-bubbles:before,.fa-hands-wash:before{content:"\e05e"}.fa-less-than-equal:before{content:"\f537"}.fa-train:before{content:"\f238"}.fa-eye-low-vision:before,.fa-low-vision:before{content:"\f2a8"}.fa-crow:before{content:"\f520"}.fa-sailboat:before{content:"\e445"}.fa-window-restore:before{content:"\f2d2"}.fa-plus-square:before,.fa-square-plus:before{content:"\f0fe"}.fa-torii-gate:before{content:"\f6a1"}.fa-frog:before{content:"\f52e"}.fa-bucket:before{content:"\e4cf"}.fa-image:before{content:"\f03e"}.fa-microphone:before{content:"\f130"}.fa-cow:before{content:"\f6c8"}.fa-caret-up:before{content:"\f0d8"}.fa-screwdriver:before{content:"\f54a"}.fa-folder-closed:before{content:"\e185"}.fa-house-tsunami:before{content:"\e515"}.fa-square-nfi:before{content:"\e576"}.fa-arrow-up-from-ground-water:before{content:"\e4b5"}.fa-glass-martini-alt:before,.fa-martini-glass:before{content:"\f57b"}.fa-rotate-back:before,.fa-rotate-backward:before,.fa-rotate-left:before,.fa-undo-alt:before{content:"\f2ea"}.fa-columns:before,.fa-table-columns:before{content:"\f0db"}.fa-lemon:before{content:"\f094"}.fa-head-side-mask:before{content:"\e063"}.fa-handshake:before{content:"\f2b5"}.fa-gem:before{content:"\f3a5"}.fa-dolly-box:before,.fa-dolly:before{content:"\f472"}.fa-smoking:before{content:"\f48d"}.fa-compress-arrows-alt:before,.fa-minimize:before{content:"\f78c"}.fa-monument:before{content:"\f5a6"}.fa-snowplow:before{content:"\f7d2"}.fa-angle-double-right:before,.fa-angles-right:before{content:"\f101"}.fa-cannabis:before{content:"\f55f"}.fa-circle-play:before,.fa-play-circle:before{content:"\f144"}.fa-tablets:before{content:"\f490"}.fa-ethernet:before{content:"\f796"}.fa-eur:before,.fa-euro-sign:before,.fa-euro:before{content:"\f153"}.fa-chair:before{content:"\f6c0"}.fa-check-circle:before,.fa-circle-check:before{content:"\f058"}.fa-circle-stop:before,.fa-stop-circle:before{content:"\f28d"}.fa-compass-drafting:before,.fa-drafting-compass:before{content:"\f568"}.fa-plate-wheat:before{content:"\e55a"}.fa-icicles:before{content:"\f7ad"}.fa-person-shelter:before{content:"\e54f"}.fa-neuter:before{content:"\f22c"}.fa-id-badge:before{content:"\f2c1"}.fa-marker:before{content:"\f5a1"}.fa-face-laugh-beam:before,.fa-laugh-beam:before{content:"\f59a"}.fa-helicopter-symbol:before{content:"\e502"}.fa-universal-access:before{content:"\f29a"}.fa-chevron-circle-up:before,.fa-circle-chevron-up:before{content:"\f139"}.fa-lari-sign:before{content:"\e1c8"}.fa-volcano:before{content:"\f770"}.fa-person-walking-dashed-line-arrow-right:before{content:"\e553"}.fa-gbp:before,.fa-pound-sign:before,.fa-sterling-sign:before{content:"\f154"}.fa-viruses:before{content:"\e076"}.fa-square-person-confined:before{content:"\e577"}.fa-user-tie:before{content:"\f508"}.fa-arrow-down-long:before,.fa-long-arrow-down:before{content:"\f175"}.fa-tent-arrow-down-to-line:before{content:"\e57e"}.fa-certificate:before{content:"\f0a3"}.fa-mail-reply-all:before,.fa-reply-all:before{content:"\f122"}.fa-suitcase:before{content:"\f0f2"}.fa-person-skating:before,.fa-skating:before{content:"\f7c5"}.fa-filter-circle-dollar:before,.fa-funnel-dollar:before{content:"\f662"}.fa-camera-retro:before{content:"\f083"}.fa-arrow-circle-down:before,.fa-circle-arrow-down:before{content:"\f0ab"}.fa-arrow-right-to-file:before,.fa-file-import:before{content:"\f56f"}.fa-external-link-square:before,.fa-square-arrow-up-right:before{content:"\f14c"}.fa-box-open:before{content:"\f49e"}.fa-scroll:before{content:"\f70e"}.fa-spa:before{content:"\f5bb"}.fa-location-pin-lock:before{content:"\e51f"}.fa-pause:before{content:"\f04c"}.fa-hill-avalanche:before{content:"\e507"}.fa-temperature-0:before,.fa-temperature-empty:before,.fa-thermometer-0:before,.fa-thermometer-empty:before{content:"\f2cb"}.fa-bomb:before{content:"\f1e2"}.fa-registered:before{content:"\f25d"}.fa-address-card:before,.fa-contact-card:before,.fa-vcard:before{content:"\f2bb"}.fa-balance-scale-right:before,.fa-scale-unbalanced-flip:before{content:"\f516"}.fa-subscript:before{content:"\f12c"}.fa-diamond-turn-right:before,.fa-directions:before{content:"\f5eb"}.fa-burst:before{content:"\e4dc"}.fa-house-laptop:before,.fa-laptop-house:before{content:"\e066"}.fa-face-tired:before,.fa-tired:before{content:"\f5c8"}.fa-money-bills:before{content:"\e1f3"}.fa-smog:before{content:"\f75f"}.fa-crutch:before{content:"\f7f7"}.fa-cloud-arrow-up:before,.fa-cloud-upload-alt:before,.fa-cloud-upload:before{content:"\f0ee"}.fa-palette:before{content:"\f53f"}.fa-arrows-turn-right:before{content:"\e4c0"}.fa-vest:before{content:"\e085"}.fa-ferry:before{content:"\e4ea"}.fa-arrows-down-to-people:before{content:"\e4b9"}.fa-seedling:before,.fa-sprout:before{content:"\f4d8"}.fa-arrows-alt-h:before,.fa-left-right:before{content:"\f337"}.fa-boxes-packing:before{content:"\e4c7"}.fa-arrow-circle-left:before,.fa-circle-arrow-left:before{content:"\f0a8"}.fa-group-arrows-rotate:before{content:"\e4f6"}.fa-bowl-food:before{content:"\e4c6"}.fa-candy-cane:before{content:"\f786"}.fa-arrow-down-wide-short:before,.fa-sort-amount-asc:before,.fa-sort-amount-down:before{content:"\f160"}.fa-cloud-bolt:before,.fa-thunderstorm:before{content:"\f76c"}.fa-remove-format:before,.fa-text-slash:before{content:"\f87d"}.fa-face-smile-wink:before,.fa-smile-wink:before{content:"\f4da"}.fa-file-word:before{content:"\f1c2"}.fa-file-powerpoint:before{content:"\f1c4"}.fa-arrows-h:before,.fa-arrows-left-right:before{content:"\f07e"}.fa-house-lock:before{content:"\e510"}.fa-cloud-arrow-down:before,.fa-cloud-download-alt:before,.fa-cloud-download:before{content:"\f0ed"}.fa-children:before{content:"\e4e1"}.fa-blackboard:before,.fa-chalkboard:before{content:"\f51b"}.fa-user-alt-slash:before,.fa-user-large-slash:before{content:"\f4fa"}.fa-envelope-open:before{content:"\f2b6"}.fa-handshake-alt-slash:before,.fa-handshake-simple-slash:before{content:"\e05f"}.fa-mattress-pillow:before{content:"\e525"}.fa-guarani-sign:before{content:"\e19a"}.fa-arrows-rotate:before,.fa-refresh:before,.fa-sync:before{content:"\f021"}.fa-fire-extinguisher:before{content:"\f134"}.fa-cruzeiro-sign:before{content:"\e152"}.fa-greater-than-equal:before{content:"\f532"}.fa-shield-alt:before,.fa-shield-halved:before{content:"\f3ed"}.fa-atlas:before,.fa-book-atlas:before{content:"\f558"}.fa-virus:before{content:"\e074"}.fa-envelope-circle-check:before{content:"\e4e8"}.fa-layer-group:before{content:"\f5fd"}.fa-arrows-to-dot:before{content:"\e4be"}.fa-archway:before{content:"\f557"}.fa-heart-circle-check:before{content:"\e4fd"}.fa-house-chimney-crack:before,.fa-house-damage:before{content:"\f6f1"}.fa-file-archive:before,.fa-file-zipper:before{content:"\f1c6"}.fa-square:before{content:"\f0c8"}.fa-glass-martini:before,.fa-martini-glass-empty:before{content:"\f000"}.fa-couch:before{content:"\f4b8"}.fa-cedi-sign:before{content:"\e0df"}.fa-italic:before{content:"\f033"}.fa-table-cells-column-lock:before{content:"\e678"}.fa-church:before{content:"\f51d"}.fa-comments-dollar:before{content:"\f653"}.fa-democrat:before{content:"\f747"}.fa-z:before{content:"\5a"}.fa-person-skiing:before,.fa-skiing:before{content:"\f7c9"}.fa-road-lock:before{content:"\e567"}.fa-a:before{content:"\41"}.fa-temperature-arrow-down:before,.fa-temperature-down:before{content:"\e03f"}.fa-feather-alt:before,.fa-feather-pointed:before{content:"\f56b"}.fa-p:before{content:"\50"}.fa-snowflake:before{content:"\f2dc"}.fa-newspaper:before{content:"\f1ea"}.fa-ad:before,.fa-rectangle-ad:before{content:"\f641"}.fa-arrow-circle-right:before,.fa-circle-arrow-right:before{content:"\f0a9"}.fa-filter-circle-xmark:before{content:"\e17b"}.fa-locust:before{content:"\e520"}.fa-sort:before,.fa-unsorted:before{content:"\f0dc"}.fa-list-1-2:before,.fa-list-numeric:before,.fa-list-ol:before{content:"\f0cb"}.fa-person-dress-burst:before{content:"\e544"}.fa-money-check-alt:before,.fa-money-check-dollar:before{content:"\f53d"}.fa-vector-square:before{content:"\f5cb"}.fa-bread-slice:before{content:"\f7ec"}.fa-language:before{content:"\f1ab"}.fa-face-kiss-wink-heart:before,.fa-kiss-wink-heart:before{content:"\f598"}.fa-filter:before{content:"\f0b0"}.fa-question:before{content:"\3f"}.fa-file-signature:before{content:"\f573"}.fa-arrows-alt:before,.fa-up-down-left-right:before{content:"\f0b2"}.fa-house-chimney-user:before{content:"\e065"}.fa-hand-holding-heart:before{content:"\f4be"}.fa-puzzle-piece:before{content:"\f12e"}.fa-money-check:before{content:"\f53c"}.fa-star-half-alt:before,.fa-star-half-stroke:before{content:"\f5c0"}.fa-code:before{content:"\f121"}.fa-glass-whiskey:before,.fa-whiskey-glass:before{content:"\f7a0"}.fa-building-circle-exclamation:before{content:"\e4d3"}.fa-magnifying-glass-chart:before{content:"\e522"}.fa-arrow-up-right-from-square:before,.fa-external-link:before{content:"\f08e"}.fa-cubes-stacked:before{content:"\e4e6"}.fa-krw:before,.fa-won-sign:before,.fa-won:before{content:"\f159"}.fa-virus-covid:before{content:"\e4a8"}.fa-austral-sign:before{content:"\e0a9"}.fa-f:before{content:"\46"}.fa-leaf:before{content:"\f06c"}.fa-road:before{content:"\f018"}.fa-cab:before,.fa-taxi:before{content:"\f1ba"}.fa-person-circle-plus:before{content:"\e541"}.fa-chart-pie:before,.fa-pie-chart:before{content:"\f200"}.fa-bolt-lightning:before{content:"\e0b7"}.fa-sack-xmark:before{content:"\e56a"}.fa-file-excel:before{content:"\f1c3"}.fa-file-contract:before{content:"\f56c"}.fa-fish-fins:before{content:"\e4f2"}.fa-building-flag:before{content:"\e4d5"}.fa-face-grin-beam:before,.fa-grin-beam:before{content:"\f582"}.fa-object-ungroup:before{content:"\f248"}.fa-poop:before{content:"\f619"}.fa-location-pin:before,.fa-map-marker:before{content:"\f041"}.fa-kaaba:before{content:"\f66b"}.fa-toilet-paper:before{content:"\f71e"}.fa-hard-hat:before,.fa-hat-hard:before,.fa-helmet-safety:before{content:"\f807"}.fa-eject:before{content:"\f052"}.fa-arrow-alt-circle-right:before,.fa-circle-right:before{content:"\f35a"}.fa-plane-circle-check:before{content:"\e555"}.fa-face-rolling-eyes:before,.fa-meh-rolling-eyes:before{content:"\f5a5"}.fa-object-group:before{content:"\f247"}.fa-chart-line:before,.fa-line-chart:before{content:"\f201"}.fa-mask-ventilator:before{content:"\e524"}.fa-arrow-right:before{content:"\f061"}.fa-map-signs:before,.fa-signs-post:before{content:"\f277"}.fa-cash-register:before{content:"\f788"}.fa-person-circle-question:before{content:"\e542"}.fa-h:before{content:"\48"}.fa-tarp:before{content:"\e57b"}.fa-screwdriver-wrench:before,.fa-tools:before{content:"\f7d9"}.fa-arrows-to-eye:before{content:"\e4bf"}.fa-plug-circle-bolt:before{content:"\e55b"}.fa-heart:before{content:"\f004"}.fa-mars-and-venus:before{content:"\f224"}.fa-home-user:before,.fa-house-user:before{content:"\e1b0"}.fa-dumpster-fire:before{content:"\f794"}.fa-house-crack:before{content:"\e3b1"}.fa-cocktail:before,.fa-martini-glass-citrus:before{content:"\f561"}.fa-face-surprise:before,.fa-surprise:before{content:"\f5c2"}.fa-bottle-water:before{content:"\e4c5"}.fa-circle-pause:before,.fa-pause-circle:before{content:"\f28b"}.fa-toilet-paper-slash:before{content:"\e072"}.fa-apple-alt:before,.fa-apple-whole:before{content:"\f5d1"}.fa-kitchen-set:before{content:"\e51a"}.fa-r:before{content:"\52"}.fa-temperature-1:before,.fa-temperature-quarter:before,.fa-thermometer-1:before,.fa-thermometer-quarter:before{content:"\f2ca"}.fa-cube:before{content:"\f1b2"}.fa-bitcoin-sign:before{content:"\e0b4"}.fa-shield-dog:before{content:"\e573"}.fa-solar-panel:before{content:"\f5ba"}.fa-lock-open:before{content:"\f3c1"}.fa-elevator:before{content:"\e16d"}.fa-money-bill-transfer:before{content:"\e528"}.fa-money-bill-trend-up:before{content:"\e529"}.fa-house-flood-water-circle-arrow-right:before{content:"\e50f"}.fa-poll-h:before,.fa-square-poll-horizontal:before{content:"\f682"}.fa-circle:before{content:"\f111"}.fa-backward-fast:before,.fa-fast-backward:before{content:"\f049"}.fa-recycle:before{content:"\f1b8"}.fa-user-astronaut:before{content:"\f4fb"}.fa-plane-slash:before{content:"\e069"}.fa-trademark:before{content:"\f25c"}.fa-basketball-ball:before,.fa-basketball:before{content:"\f434"}.fa-satellite-dish:before{content:"\f7c0"}.fa-arrow-alt-circle-up:before,.fa-circle-up:before{content:"\f35b"}.fa-mobile-alt:before,.fa-mobile-screen-button:before{content:"\f3cd"}.fa-volume-high:before,.fa-volume-up:before{content:"\f028"}.fa-users-rays:before{content:"\e593"}.fa-wallet:before{content:"\f555"}.fa-clipboard-check:before{content:"\f46c"}.fa-file-audio:before{content:"\f1c7"}.fa-burger:before,.fa-hamburger:before{content:"\f805"}.fa-wrench:before{content:"\f0ad"}.fa-bugs:before{content:"\e4d0"}.fa-rupee-sign:before,.fa-rupee:before{content:"\f156"}.fa-file-image:before{content:"\f1c5"}.fa-circle-question:before,.fa-question-circle:before{content:"\f059"}.fa-plane-departure:before{content:"\f5b0"}.fa-handshake-slash:before{content:"\e060"}.fa-book-bookmark:before{content:"\e0bb"}.fa-code-branch:before{content:"\f126"}.fa-hat-cowboy:before{content:"\f8c0"}.fa-bridge:before{content:"\e4c8"}.fa-phone-alt:before,.fa-phone-flip:before{content:"\f879"}.fa-truck-front:before{content:"\e2b7"}.fa-cat:before{content:"\f6be"}.fa-anchor-circle-exclamation:before{content:"\e4ab"}.fa-truck-field:before{content:"\e58d"}.fa-route:before{content:"\f4d7"}.fa-clipboard-question:before{content:"\e4e3"}.fa-panorama:before{content:"\e209"}.fa-comment-medical:before{content:"\f7f5"}.fa-teeth-open:before{content:"\f62f"}.fa-file-circle-minus:before{content:"\e4ed"}.fa-tags:before{content:"\f02c"}.fa-wine-glass:before{content:"\f4e3"}.fa-fast-forward:before,.fa-forward-fast:before{content:"\f050"}.fa-face-meh-blank:before,.fa-meh-blank:before{content:"\f5a4"}.fa-parking:before,.fa-square-parking:before{content:"\f540"}.fa-house-signal:before{content:"\e012"}.fa-bars-progress:before,.fa-tasks-alt:before{content:"\f828"}.fa-faucet-drip:before{content:"\e006"}.fa-cart-flatbed:before,.fa-dolly-flatbed:before{content:"\f474"}.fa-ban-smoking:before,.fa-smoking-ban:before{content:"\f54d"}.fa-terminal:before{content:"\f120"}.fa-mobile-button:before{content:"\f10b"}.fa-house-medical-flag:before{content:"\e514"}.fa-basket-shopping:before,.fa-shopping-basket:before{content:"\f291"}.fa-tape:before{content:"\f4db"}.fa-bus-alt:before,.fa-bus-simple:before{content:"\f55e"}.fa-eye:before{content:"\f06e"}.fa-face-sad-cry:before,.fa-sad-cry:before{content:"\f5b3"}.fa-audio-description:before{content:"\f29e"}.fa-person-military-to-person:before{content:"\e54c"}.fa-file-shield:before{content:"\e4f0"}.fa-user-slash:before{content:"\f506"}.fa-pen:before{content:"\f304"}.fa-tower-observation:before{content:"\e586"}.fa-file-code:before{content:"\f1c9"}.fa-signal-5:before,.fa-signal-perfect:before,.fa-signal:before{content:"\f012"}.fa-bus:before{content:"\f207"}.fa-heart-circle-xmark:before{content:"\e501"}.fa-home-lg:before,.fa-house-chimney:before{content:"\e3af"}.fa-window-maximize:before{content:"\f2d0"}.fa-face-frown:before,.fa-frown:before{content:"\f119"}.fa-prescription:before{content:"\f5b1"}.fa-shop:before,.fa-store-alt:before{content:"\f54f"}.fa-floppy-disk:before,.fa-save:before{content:"\f0c7"}.fa-vihara:before{content:"\f6a7"}.fa-balance-scale-left:before,.fa-scale-unbalanced:before{content:"\f515"}.fa-sort-asc:before,.fa-sort-up:before{content:"\f0de"}.fa-comment-dots:before,.fa-commenting:before{content:"\f4ad"}.fa-plant-wilt:before{content:"\e5aa"}.fa-diamond:before{content:"\f219"}.fa-face-grin-squint:before,.fa-grin-squint:before{content:"\f585"}.fa-hand-holding-dollar:before,.fa-hand-holding-usd:before{content:"\f4c0"}.fa-bacterium:before{content:"\e05a"}.fa-hand-pointer:before{content:"\f25a"}.fa-drum-steelpan:before{content:"\f56a"}.fa-hand-scissors:before{content:"\f257"}.fa-hands-praying:before,.fa-praying-hands:before{content:"\f684"}.fa-arrow-right-rotate:before,.fa-arrow-rotate-forward:before,.fa-arrow-rotate-right:before,.fa-redo:before{content:"\f01e"}.fa-biohazard:before{content:"\f780"}.fa-location-crosshairs:before,.fa-location:before{content:"\f601"}.fa-mars-double:before{content:"\f227"}.fa-child-dress:before{content:"\e59c"}.fa-users-between-lines:before{content:"\e591"}.fa-lungs-virus:before{content:"\e067"}.fa-face-grin-tears:before,.fa-grin-tears:before{content:"\f588"}.fa-phone:before{content:"\f095"}.fa-calendar-times:before,.fa-calendar-xmark:before{content:"\f273"}.fa-child-reaching:before{content:"\e59d"}.fa-head-side-virus:before{content:"\e064"}.fa-user-cog:before,.fa-user-gear:before{content:"\f4fe"}.fa-arrow-up-1-9:before,.fa-sort-numeric-up:before{content:"\f163"}.fa-door-closed:before{content:"\f52a"}.fa-shield-virus:before{content:"\e06c"}.fa-dice-six:before{content:"\f526"}.fa-mosquito-net:before{content:"\e52c"}.fa-bridge-water:before{content:"\e4ce"}.fa-person-booth:before{content:"\f756"}.fa-text-width:before{content:"\f035"}.fa-hat-wizard:before{content:"\f6e8"}.fa-pen-fancy:before{content:"\f5ac"}.fa-digging:before,.fa-person-digging:before{content:"\f85e"}.fa-trash:before{content:"\f1f8"}.fa-gauge-simple-med:before,.fa-gauge-simple:before,.fa-tachometer-average:before{content:"\f629"}.fa-book-medical:before{content:"\f7e6"}.fa-poo:before{content:"\f2fe"}.fa-quote-right-alt:before,.fa-quote-right:before{content:"\f10e"}.fa-shirt:before,.fa-t-shirt:before,.fa-tshirt:before{content:"\f553"}.fa-cubes:before{content:"\f1b3"}.fa-divide:before{content:"\f529"}.fa-tenge-sign:before,.fa-tenge:before{content:"\f7d7"}.fa-headphones:before{content:"\f025"}.fa-hands-holding:before{content:"\f4c2"}.fa-hands-clapping:before{content:"\e1a8"}.fa-republican:before{content:"\f75e"}.fa-arrow-left:before{content:"\f060"}.fa-person-circle-xmark:before{content:"\e543"}.fa-ruler:before{content:"\f545"}.fa-align-left:before{content:"\f036"}.fa-dice-d6:before{content:"\f6d1"}.fa-restroom:before{content:"\f7bd"}.fa-j:before{content:"\4a"}.fa-users-viewfinder:before{content:"\e595"}.fa-file-video:before{content:"\f1c8"}.fa-external-link-alt:before,.fa-up-right-from-square:before{content:"\f35d"}.fa-table-cells:before,.fa-th:before{content:"\f00a"}.fa-file-pdf:before{content:"\f1c1"}.fa-bible:before,.fa-book-bible:before{content:"\f647"}.fa-o:before{content:"\4f"}.fa-medkit:before,.fa-suitcase-medical:before{content:"\f0fa"}.fa-user-secret:before{content:"\f21b"}.fa-otter:before{content:"\f700"}.fa-female:before,.fa-person-dress:before{content:"\f182"}.fa-comment-dollar:before{content:"\f651"}.fa-briefcase-clock:before,.fa-business-time:before{content:"\f64a"}.fa-table-cells-large:before,.fa-th-large:before{content:"\f009"}.fa-book-tanakh:before,.fa-tanakh:before{content:"\f827"}.fa-phone-volume:before,.fa-volume-control-phone:before{content:"\f2a0"}.fa-hat-cowboy-side:before{content:"\f8c1"}.fa-clipboard-user:before{content:"\f7f3"}.fa-child:before{content:"\f1ae"}.fa-lira-sign:before{content:"\f195"}.fa-satellite:before{content:"\f7bf"}.fa-plane-lock:before{content:"\e558"}.fa-tag:before{content:"\f02b"}.fa-comment:before{content:"\f075"}.fa-birthday-cake:before,.fa-cake-candles:before,.fa-cake:before{content:"\f1fd"}.fa-envelope:before{content:"\f0e0"}.fa-angle-double-up:before,.fa-angles-up:before{content:"\f102"}.fa-paperclip:before{content:"\f0c6"}.fa-arrow-right-to-city:before{content:"\e4b3"}.fa-ribbon:before{content:"\f4d6"}.fa-lungs:before{content:"\f604"}.fa-arrow-up-9-1:before,.fa-sort-numeric-up-alt:before{content:"\f887"}.fa-litecoin-sign:before{content:"\e1d3"}.fa-border-none:before{content:"\f850"}.fa-circle-nodes:before{content:"\e4e2"}.fa-parachute-box:before{content:"\f4cd"}.fa-indent:before{content:"\f03c"}.fa-truck-field-un:before{content:"\e58e"}.fa-hourglass-empty:before,.fa-hourglass:before{content:"\f254"}.fa-mountain:before{content:"\f6fc"}.fa-user-doctor:before,.fa-user-md:before{content:"\f0f0"}.fa-circle-info:before,.fa-info-circle:before{content:"\f05a"}.fa-cloud-meatball:before{content:"\f73b"}.fa-camera-alt:before,.fa-camera:before{content:"\f030"}.fa-square-virus:before{content:"\e578"}.fa-meteor:before{content:"\f753"}.fa-car-on:before{content:"\e4dd"}.fa-sleigh:before{content:"\f7cc"}.fa-arrow-down-1-9:before,.fa-sort-numeric-asc:before,.fa-sort-numeric-down:before{content:"\f162"}.fa-hand-holding-droplet:before,.fa-hand-holding-water:before{content:"\f4c1"}.fa-water:before{content:"\f773"}.fa-calendar-check:before{content:"\f274"}.fa-braille:before{content:"\f2a1"}.fa-prescription-bottle-alt:before,.fa-prescription-bottle-medical:before{content:"\f486"}.fa-landmark:before{content:"\f66f"}.fa-truck:before{content:"\f0d1"}.fa-crosshairs:before{content:"\f05b"}.fa-person-cane:before{content:"\e53c"}.fa-tent:before{content:"\e57d"}.fa-vest-patches:before{content:"\e086"}.fa-check-double:before{content:"\f560"}.fa-arrow-down-a-z:before,.fa-sort-alpha-asc:before,.fa-sort-alpha-down:before{content:"\f15d"}.fa-money-bill-wheat:before{content:"\e52a"}.fa-cookie:before{content:"\f563"}.fa-arrow-left-rotate:before,.fa-arrow-rotate-back:before,.fa-arrow-rotate-backward:before,.fa-arrow-rotate-left:before,.fa-undo:before{content:"\f0e2"}.fa-hard-drive:before,.fa-hdd:before{content:"\f0a0"}.fa-face-grin-squint-tears:before,.fa-grin-squint-tears:before{content:"\f586"}.fa-dumbbell:before{content:"\f44b"}.fa-list-alt:before,.fa-rectangle-list:before{content:"\f022"}.fa-tarp-droplet:before{content:"\e57c"}.fa-house-medical-circle-check:before{content:"\e511"}.fa-person-skiing-nordic:before,.fa-skiing-nordic:before{content:"\f7ca"}.fa-calendar-plus:before{content:"\f271"}.fa-plane-arrival:before{content:"\f5af"}.fa-arrow-alt-circle-left:before,.fa-circle-left:before{content:"\f359"}.fa-subway:before,.fa-train-subway:before{content:"\f239"}.fa-chart-gantt:before{content:"\e0e4"}.fa-indian-rupee-sign:before,.fa-indian-rupee:before,.fa-inr:before{content:"\e1bc"}.fa-crop-alt:before,.fa-crop-simple:before{content:"\f565"}.fa-money-bill-1:before,.fa-money-bill-alt:before{content:"\f3d1"}.fa-left-long:before,.fa-long-arrow-alt-left:before{content:"\f30a"}.fa-dna:before{content:"\f471"}.fa-virus-slash:before{content:"\e075"}.fa-minus:before,.fa-subtract:before{content:"\f068"}.fa-chess:before{content:"\f439"}.fa-arrow-left-long:before,.fa-long-arrow-left:before{content:"\f177"}.fa-plug-circle-check:before{content:"\e55c"}.fa-street-view:before{content:"\f21d"}.fa-franc-sign:before{content:"\e18f"}.fa-volume-off:before{content:"\f026"}.fa-american-sign-language-interpreting:before,.fa-asl-interpreting:before,.fa-hands-american-sign-language-interpreting:before,.fa-hands-asl-interpreting:before{content:"\f2a3"}.fa-cog:before,.fa-gear:before{content:"\f013"}.fa-droplet-slash:before,.fa-tint-slash:before{content:"\f5c7"}.fa-mosque:before{content:"\f678"}.fa-mosquito:before{content:"\e52b"}.fa-star-of-david:before{content:"\f69a"}.fa-person-military-rifle:before{content:"\e54b"}.fa-cart-shopping:before,.fa-shopping-cart:before{content:"\f07a"}.fa-vials:before{content:"\f493"}.fa-plug-circle-plus:before{content:"\e55f"}.fa-place-of-worship:before{content:"\f67f"}.fa-grip-vertical:before{content:"\f58e"}.fa-arrow-turn-up:before,.fa-level-up:before{content:"\f148"}.fa-u:before{content:"\55"}.fa-square-root-alt:before,.fa-square-root-variable:before{content:"\f698"}.fa-clock-four:before,.fa-clock:before{content:"\f017"}.fa-backward-step:before,.fa-step-backward:before{content:"\f048"}.fa-pallet:before{content:"\f482"}.fa-faucet:before{content:"\e005"}.fa-baseball-bat-ball:before{content:"\f432"}.fa-s:before{content:"\53"}.fa-timeline:before{content:"\e29c"}.fa-keyboard:before{content:"\f11c"}.fa-caret-down:before{content:"\f0d7"}.fa-clinic-medical:before,.fa-house-chimney-medical:before{content:"\f7f2"}.fa-temperature-3:before,.fa-temperature-three-quarters:before,.fa-thermometer-3:before,.fa-thermometer-three-quarters:before{content:"\f2c8"}.fa-mobile-android-alt:before,.fa-mobile-screen:before{content:"\f3cf"}.fa-plane-up:before{content:"\e22d"}.fa-piggy-bank:before{content:"\f4d3"}.fa-battery-3:before,.fa-battery-half:before{content:"\f242"}.fa-mountain-city:before{content:"\e52e"}.fa-coins:before{content:"\f51e"}.fa-khanda:before{content:"\f66d"}.fa-sliders-h:before,.fa-sliders:before{content:"\f1de"}.fa-folder-tree:before{content:"\f802"}.fa-network-wired:before{content:"\f6ff"}.fa-map-pin:before{content:"\f276"}.fa-hamsa:before{content:"\f665"}.fa-cent-sign:before{content:"\e3f5"}.fa-flask:before{content:"\f0c3"}.fa-person-pregnant:before{content:"\e31e"}.fa-wand-sparkles:before{content:"\f72b"}.fa-ellipsis-v:before,.fa-ellipsis-vertical:before{content:"\f142"}.fa-ticket:before{content:"\f145"}.fa-power-off:before{content:"\f011"}.fa-long-arrow-alt-right:before,.fa-right-long:before{content:"\f30b"}.fa-flag-usa:before{content:"\f74d"}.fa-laptop-file:before{content:"\e51d"}.fa-teletype:before,.fa-tty:before{content:"\f1e4"}.fa-diagram-next:before{content:"\e476"}.fa-person-rifle:before{content:"\e54e"}.fa-house-medical-circle-exclamation:before{content:"\e512"}.fa-closed-captioning:before{content:"\f20a"}.fa-hiking:before,.fa-person-hiking:before{content:"\f6ec"}.fa-venus-double:before{content:"\f226"}.fa-images:before{content:"\f302"}.fa-calculator:before{content:"\f1ec"}.fa-people-pulling:before{content:"\e535"}.fa-n:before{content:"\4e"}.fa-cable-car:before,.fa-tram:before{content:"\f7da"}.fa-cloud-rain:before{content:"\f73d"}.fa-building-circle-xmark:before{content:"\e4d4"}.fa-ship:before{content:"\f21a"}.fa-arrows-down-to-line:before{content:"\e4b8"}.fa-download:before{content:"\f019"}.fa-face-grin:before,.fa-grin:before{content:"\f580"}.fa-backspace:before,.fa-delete-left:before{content:"\f55a"}.fa-eye-dropper-empty:before,.fa-eye-dropper:before,.fa-eyedropper:before{content:"\f1fb"}.fa-file-circle-check:before{content:"\e5a0"}.fa-forward:before{content:"\f04e"}.fa-mobile-android:before,.fa-mobile-phone:before,.fa-mobile:before{content:"\f3ce"}.fa-face-meh:before,.fa-meh:before{content:"\f11a"}.fa-align-center:before{content:"\f037"}.fa-book-dead:before,.fa-book-skull:before{content:"\f6b7"}.fa-drivers-license:before,.fa-id-card:before{content:"\f2c2"}.fa-dedent:before,.fa-outdent:before{content:"\f03b"}.fa-heart-circle-exclamation:before{content:"\e4fe"}.fa-home-alt:before,.fa-home-lg-alt:before,.fa-home:before,.fa-house:before{content:"\f015"}.fa-calendar-week:before{content:"\f784"}.fa-laptop-medical:before{content:"\f812"}.fa-b:before{content:"\42"}.fa-file-medical:before{content:"\f477"}.fa-dice-one:before{content:"\f525"}.fa-kiwi-bird:before{content:"\f535"}.fa-arrow-right-arrow-left:before,.fa-exchange:before{content:"\f0ec"}.fa-redo-alt:before,.fa-rotate-forward:before,.fa-rotate-right:before{content:"\f2f9"}.fa-cutlery:before,.fa-utensils:before{content:"\f2e7"}.fa-arrow-up-wide-short:before,.fa-sort-amount-up:before{content:"\f161"}.fa-mill-sign:before{content:"\e1ed"}.fa-bowl-rice:before{content:"\e2eb"}.fa-skull:before{content:"\f54c"}.fa-broadcast-tower:before,.fa-tower-broadcast:before{content:"\f519"}.fa-truck-pickup:before{content:"\f63c"}.fa-long-arrow-alt-up:before,.fa-up-long:before{content:"\f30c"}.fa-stop:before{content:"\f04d"}.fa-code-merge:before{content:"\f387"}.fa-upload:before{content:"\f093"}.fa-hurricane:before{content:"\f751"}.fa-mound:before{content:"\e52d"}.fa-toilet-portable:before{content:"\e583"}.fa-compact-disc:before{content:"\f51f"}.fa-file-arrow-down:before,.fa-file-download:before{content:"\f56d"}.fa-caravan:before{content:"\f8ff"}.fa-shield-cat:before{content:"\e572"}.fa-bolt:before,.fa-zap:before{content:"\f0e7"}.fa-glass-water:before{content:"\e4f4"}.fa-oil-well:before{content:"\e532"}.fa-vault:before{content:"\e2c5"}.fa-mars:before{content:"\f222"}.fa-toilet:before{content:"\f7d8"}.fa-plane-circle-xmark:before{content:"\e557"}.fa-cny:before,.fa-jpy:before,.fa-rmb:before,.fa-yen-sign:before,.fa-yen:before{content:"\f157"}.fa-rouble:before,.fa-rub:before,.fa-ruble-sign:before,.fa-ruble:before{content:"\f158"}.fa-sun:before{content:"\f185"}.fa-guitar:before{content:"\f7a6"}.fa-face-laugh-wink:before,.fa-laugh-wink:before{content:"\f59c"}.fa-horse-head:before{content:"\f7ab"}.fa-bore-hole:before{content:"\e4c3"}.fa-industry:before{content:"\f275"}.fa-arrow-alt-circle-down:before,.fa-circle-down:before{content:"\f358"}.fa-arrows-turn-to-dots:before{content:"\e4c1"}.fa-florin-sign:before{content:"\e184"}.fa-arrow-down-short-wide:before,.fa-sort-amount-desc:before,.fa-sort-amount-down-alt:before{content:"\f884"}.fa-less-than:before{content:"\3c"}.fa-angle-down:before{content:"\f107"}.fa-car-tunnel:before{content:"\e4de"}.fa-head-side-cough:before{content:"\e061"}.fa-grip-lines:before{content:"\f7a4"}.fa-thumbs-down:before{content:"\f165"}.fa-user-lock:before{content:"\f502"}.fa-arrow-right-long:before,.fa-long-arrow-right:before{content:"\f178"}.fa-anchor-circle-xmark:before{content:"\e4ac"}.fa-ellipsis-h:before,.fa-ellipsis:before{content:"\f141"}.fa-chess-pawn:before{content:"\f443"}.fa-first-aid:before,.fa-kit-medical:before{content:"\f479"}.fa-person-through-window:before{content:"\e5a9"}.fa-toolbox:before{content:"\f552"}.fa-hands-holding-circle:before{content:"\e4fb"}.fa-bug:before{content:"\f188"}.fa-credit-card-alt:before,.fa-credit-card:before{content:"\f09d"}.fa-automobile:before,.fa-car:before{content:"\f1b9"}.fa-hand-holding-hand:before{content:"\e4f7"}.fa-book-open-reader:before,.fa-book-reader:before{content:"\f5da"}.fa-mountain-sun:before{content:"\e52f"}.fa-arrows-left-right-to-line:before{content:"\e4ba"}.fa-dice-d20:before{content:"\f6cf"}.fa-truck-droplet:before{content:"\e58c"}.fa-file-circle-xmark:before{content:"\e5a1"}.fa-temperature-arrow-up:before,.fa-temperature-up:before{content:"\e040"}.fa-medal:before{content:"\f5a2"}.fa-bed:before{content:"\f236"}.fa-h-square:before,.fa-square-h:before{content:"\f0fd"}.fa-podcast:before{content:"\f2ce"}.fa-temperature-4:before,.fa-temperature-full:before,.fa-thermometer-4:before,.fa-thermometer-full:before{content:"\f2c7"}.fa-bell:before{content:"\f0f3"}.fa-superscript:before{content:"\f12b"}.fa-plug-circle-xmark:before{content:"\e560"}.fa-star-of-life:before{content:"\f621"}.fa-phone-slash:before{content:"\f3dd"}.fa-paint-roller:before{content:"\f5aa"}.fa-hands-helping:before,.fa-handshake-angle:before{content:"\f4c4"}.fa-location-dot:before,.fa-map-marker-alt:before{content:"\f3c5"}.fa-file:before{content:"\f15b"}.fa-greater-than:before{content:"\3e"}.fa-person-swimming:before,.fa-swimmer:before{content:"\f5c4"}.fa-arrow-down:before{content:"\f063"}.fa-droplet:before,.fa-tint:before{content:"\f043"}.fa-eraser:before{content:"\f12d"}.fa-earth-america:before,.fa-earth-americas:before,.fa-earth:before,.fa-globe-americas:before{content:"\f57d"}.fa-person-burst:before{content:"\e53b"}.fa-dove:before{content:"\f4ba"}.fa-battery-0:before,.fa-battery-empty:before{content:"\f244"}.fa-socks:before{content:"\f696"}.fa-inbox:before{content:"\f01c"}.fa-section:before{content:"\e447"}.fa-gauge-high:before,.fa-tachometer-alt-fast:before,.fa-tachometer-alt:before{content:"\f625"}.fa-envelope-open-text:before{content:"\f658"}.fa-hospital-alt:before,.fa-hospital-wide:before,.fa-hospital:before{content:"\f0f8"}.fa-wine-bottle:before{content:"\f72f"}.fa-chess-rook:before{content:"\f447"}.fa-bars-staggered:before,.fa-reorder:before,.fa-stream:before{content:"\f550"}.fa-dharmachakra:before{content:"\f655"}.fa-hotdog:before{content:"\f80f"}.fa-blind:before,.fa-person-walking-with-cane:before{content:"\f29d"}.fa-drum:before{content:"\f569"}.fa-ice-cream:before{content:"\f810"}.fa-heart-circle-bolt:before{content:"\e4fc"}.fa-fax:before{content:"\f1ac"}.fa-paragraph:before{content:"\f1dd"}.fa-check-to-slot:before,.fa-vote-yea:before{content:"\f772"}.fa-star-half:before{content:"\f089"}.fa-boxes-alt:before,.fa-boxes-stacked:before,.fa-boxes:before{content:"\f468"}.fa-chain:before,.fa-link:before{content:"\f0c1"}.fa-assistive-listening-systems:before,.fa-ear-listen:before{content:"\f2a2"}.fa-tree-city:before{content:"\e587"}.fa-play:before{content:"\f04b"}.fa-font:before{content:"\f031"}.fa-table-cells-row-lock:before{content:"\e67a"}.fa-rupiah-sign:before{content:"\e23d"}.fa-magnifying-glass:before,.fa-search:before{content:"\f002"}.fa-ping-pong-paddle-ball:before,.fa-table-tennis-paddle-ball:before,.fa-table-tennis:before{content:"\f45d"}.fa-diagnoses:before,.fa-person-dots-from-line:before{content:"\f470"}.fa-trash-can-arrow-up:before,.fa-trash-restore-alt:before{content:"\f82a"}.fa-naira-sign:before{content:"\e1f6"}.fa-cart-arrow-down:before{content:"\f218"}.fa-walkie-talkie:before{content:"\f8ef"}.fa-file-edit:before,.fa-file-pen:before{content:"\f31c"}.fa-receipt:before{content:"\f543"}.fa-pen-square:before,.fa-pencil-square:before,.fa-square-pen:before{content:"\f14b"}.fa-suitcase-rolling:before{content:"\f5c1"}.fa-person-circle-exclamation:before{content:"\e53f"}.fa-chevron-down:before{content:"\f078"}.fa-battery-5:before,.fa-battery-full:before,.fa-battery:before{content:"\f240"}.fa-skull-crossbones:before{content:"\f714"}.fa-code-compare:before{content:"\e13a"}.fa-list-dots:before,.fa-list-ul:before{content:"\f0ca"}.fa-school-lock:before{content:"\e56f"}.fa-tower-cell:before{content:"\e585"}.fa-down-long:before,.fa-long-arrow-alt-down:before{content:"\f309"}.fa-ranking-star:before{content:"\e561"}.fa-chess-king:before{content:"\f43f"}.fa-person-harassing:before{content:"\e549"}.fa-brazilian-real-sign:before{content:"\e46c"}.fa-landmark-alt:before,.fa-landmark-dome:before{content:"\f752"}.fa-arrow-up:before{content:"\f062"}.fa-television:before,.fa-tv-alt:before,.fa-tv:before{content:"\f26c"}.fa-shrimp:before{content:"\e448"}.fa-list-check:before,.fa-tasks:before{content:"\f0ae"}.fa-jug-detergent:before{content:"\e519"}.fa-circle-user:before,.fa-user-circle:before{content:"\f2bd"}.fa-user-shield:before{content:"\f505"}.fa-wind:before{content:"\f72e"}.fa-car-burst:before,.fa-car-crash:before{content:"\f5e1"}.fa-y:before{content:"\59"}.fa-person-snowboarding:before,.fa-snowboarding:before{content:"\f7ce"}.fa-shipping-fast:before,.fa-truck-fast:before{content:"\f48b"}.fa-fish:before{content:"\f578"}.fa-user-graduate:before{content:"\f501"}.fa-adjust:before,.fa-circle-half-stroke:before{content:"\f042"}.fa-clapperboard:before{content:"\e131"}.fa-circle-radiation:before,.fa-radiation-alt:before{content:"\f7ba"}.fa-baseball-ball:before,.fa-baseball:before{content:"\f433"}.fa-jet-fighter-up:before{content:"\e518"}.fa-diagram-project:before,.fa-project-diagram:before{content:"\f542"}.fa-copy:before{content:"\f0c5"}.fa-volume-mute:before,.fa-volume-times:before,.fa-volume-xmark:before{content:"\f6a9"}.fa-hand-sparkles:before{content:"\e05d"}.fa-grip-horizontal:before,.fa-grip:before{content:"\f58d"}.fa-share-from-square:before,.fa-share-square:before{content:"\f14d"}.fa-child-combatant:before,.fa-child-rifle:before{content:"\e4e0"}.fa-gun:before{content:"\e19b"}.fa-phone-square:before,.fa-square-phone:before{content:"\f098"}.fa-add:before,.fa-plus:before{content:"\2b"}.fa-expand:before{content:"\f065"}.fa-computer:before{content:"\e4e5"}.fa-close:before,.fa-multiply:before,.fa-remove:before,.fa-times:before,.fa-xmark:before{content:"\f00d"}.fa-arrows-up-down-left-right:before,.fa-arrows:before{content:"\f047"}.fa-chalkboard-teacher:before,.fa-chalkboard-user:before{content:"\f51c"}.fa-peso-sign:before{content:"\e222"}.fa-building-shield:before{content:"\e4d8"}.fa-baby:before{content:"\f77c"}.fa-users-line:before{content:"\e592"}.fa-quote-left-alt:before,.fa-quote-left:before{content:"\f10d"}.fa-tractor:before{content:"\f722"}.fa-trash-arrow-up:before,.fa-trash-restore:before{content:"\f829"}.fa-arrow-down-up-lock:before{content:"\e4b0"}.fa-lines-leaning:before{content:"\e51e"}.fa-ruler-combined:before{content:"\f546"}.fa-copyright:before{content:"\f1f9"}.fa-equals:before{content:"\3d"}.fa-blender:before{content:"\f517"}.fa-teeth:before{content:"\f62e"}.fa-ils:before,.fa-shekel-sign:before,.fa-shekel:before,.fa-sheqel-sign:before,.fa-sheqel:before{content:"\f20b"}.fa-map:before{content:"\f279"}.fa-rocket:before{content:"\f135"}.fa-photo-film:before,.fa-photo-video:before{content:"\f87c"}.fa-folder-minus:before{content:"\f65d"}.fa-store:before{content:"\f54e"}.fa-arrow-trend-up:before{content:"\e098"}.fa-plug-circle-minus:before{content:"\e55e"}.fa-sign-hanging:before,.fa-sign:before{content:"\f4d9"}.fa-bezier-curve:before{content:"\f55b"}.fa-bell-slash:before{content:"\f1f6"}.fa-tablet-android:before,.fa-tablet:before{content:"\f3fb"}.fa-school-flag:before{content:"\e56e"}.fa-fill:before{content:"\f575"}.fa-angle-up:before{content:"\f106"}.fa-drumstick-bite:before{content:"\f6d7"}.fa-holly-berry:before{content:"\f7aa"}.fa-chevron-left:before{content:"\f053"}.fa-bacteria:before{content:"\e059"}.fa-hand-lizard:before{content:"\f258"}.fa-notdef:before{content:"\e1fe"}.fa-disease:before{content:"\f7fa"}.fa-briefcase-medical:before{content:"\f469"}.fa-genderless:before{content:"\f22d"}.fa-chevron-right:before{content:"\f054"}.fa-retweet:before{content:"\f079"}.fa-car-alt:before,.fa-car-rear:before{content:"\f5de"}.fa-pump-soap:before{content:"\e06b"}.fa-video-slash:before{content:"\f4e2"}.fa-battery-2:before,.fa-battery-quarter:before{content:"\f243"}.fa-radio:before{content:"\f8d7"}.fa-baby-carriage:before,.fa-carriage-baby:before{content:"\f77d"}.fa-traffic-light:before{content:"\f637"}.fa-thermometer:before{content:"\f491"}.fa-vr-cardboard:before{content:"\f729"}.fa-hand-middle-finger:before{content:"\f806"}.fa-percent:before,.fa-percentage:before{content:"\25"}.fa-truck-moving:before{content:"\f4df"}.fa-glass-water-droplet:before{content:"\e4f5"}.fa-display:before{content:"\e163"}.fa-face-smile:before,.fa-smile:before{content:"\f118"}.fa-thumb-tack:before,.fa-thumbtack:before{content:"\f08d"}.fa-trophy:before{content:"\f091"}.fa-person-praying:before,.fa-pray:before{content:"\f683"}.fa-hammer:before{content:"\f6e3"}.fa-hand-peace:before{content:"\f25b"}.fa-rotate:before,.fa-sync-alt:before{content:"\f2f1"}.fa-spinner:before{content:"\f110"}.fa-robot:before{content:"\f544"}.fa-peace:before{content:"\f67c"}.fa-cogs:before,.fa-gears:before{content:"\f085"}.fa-warehouse:before{content:"\f494"}.fa-arrow-up-right-dots:before{content:"\e4b7"}.fa-splotch:before{content:"\f5bc"}.fa-face-grin-hearts:before,.fa-grin-hearts:before{content:"\f584"}.fa-dice-four:before{content:"\f524"}.fa-sim-card:before{content:"\f7c4"}.fa-transgender-alt:before,.fa-transgender:before{content:"\f225"}.fa-mercury:before{content:"\f223"}.fa-arrow-turn-down:before,.fa-level-down:before{content:"\f149"}.fa-person-falling-burst:before{content:"\e547"}.fa-award:before{content:"\f559"}.fa-ticket-alt:before,.fa-ticket-simple:before{content:"\f3ff"}.fa-building:before{content:"\f1ad"}.fa-angle-double-left:before,.fa-angles-left:before{content:"\f100"}.fa-qrcode:before{content:"\f029"}.fa-clock-rotate-left:before,.fa-history:before{content:"\f1da"}.fa-face-grin-beam-sweat:before,.fa-grin-beam-sweat:before{content:"\f583"}.fa-arrow-right-from-file:before,.fa-file-export:before{content:"\f56e"}.fa-shield-blank:before,.fa-shield:before{content:"\f132"}.fa-arrow-up-short-wide:before,.fa-sort-amount-up-alt:before{content:"\f885"}.fa-house-medical:before{content:"\e3b2"}.fa-golf-ball-tee:before,.fa-golf-ball:before{content:"\f450"}.fa-chevron-circle-left:before,.fa-circle-chevron-left:before{content:"\f137"}.fa-house-chimney-window:before{content:"\e00d"}.fa-pen-nib:before{content:"\f5ad"}.fa-tent-arrow-turn-left:before{content:"\e580"}.fa-tents:before{content:"\e582"}.fa-magic:before,.fa-wand-magic:before{content:"\f0d0"}.fa-dog:before{content:"\f6d3"}.fa-carrot:before{content:"\f787"}.fa-moon:before{content:"\f186"}.fa-wine-glass-alt:before,.fa-wine-glass-empty:before{content:"\f5ce"}.fa-cheese:before{content:"\f7ef"}.fa-yin-yang:before{content:"\f6ad"}.fa-music:before{content:"\f001"}.fa-code-commit:before{content:"\f386"}.fa-temperature-low:before{content:"\f76b"}.fa-biking:before,.fa-person-biking:before{content:"\f84a"}.fa-broom:before{content:"\f51a"}.fa-shield-heart:before{content:"\e574"}.fa-gopuram:before{content:"\f664"}.fa-earth-oceania:before,.fa-globe-oceania:before{content:"\e47b"}.fa-square-xmark:before,.fa-times-square:before,.fa-xmark-square:before{content:"\f2d3"}.fa-hashtag:before{content:"\23"}.fa-expand-alt:before,.fa-up-right-and-down-left-from-center:before{content:"\f424"}.fa-oil-can:before{content:"\f613"}.fa-t:before{content:"\54"}.fa-hippo:before{content:"\f6ed"}.fa-chart-column:before{content:"\e0e3"}.fa-infinity:before{content:"\f534"}.fa-vial-circle-check:before{content:"\e596"}.fa-person-arrow-down-to-line:before{content:"\e538"}.fa-voicemail:before{content:"\f897"}.fa-fan:before{content:"\f863"}.fa-person-walking-luggage:before{content:"\e554"}.fa-arrows-alt-v:before,.fa-up-down:before{content:"\f338"}.fa-cloud-moon-rain:before{content:"\f73c"}.fa-calendar:before{content:"\f133"}.fa-trailer:before{content:"\e041"}.fa-bahai:before,.fa-haykal:before{content:"\f666"}.fa-sd-card:before{content:"\f7c2"}.fa-dragon:before{content:"\f6d5"}.fa-shoe-prints:before{content:"\f54b"}.fa-circle-plus:before,.fa-plus-circle:before{content:"\f055"}.fa-face-grin-tongue-wink:before,.fa-grin-tongue-wink:before{content:"\f58b"}.fa-hand-holding:before{content:"\f4bd"}.fa-plug-circle-exclamation:before{content:"\e55d"}.fa-chain-broken:before,.fa-chain-slash:before,.fa-link-slash:before,.fa-unlink:before{content:"\f127"}.fa-clone:before{content:"\f24d"}.fa-person-walking-arrow-loop-left:before{content:"\e551"}.fa-arrow-up-z-a:before,.fa-sort-alpha-up-alt:before{content:"\f882"}.fa-fire-alt:before,.fa-fire-flame-curved:before{content:"\f7e4"}.fa-tornado:before{content:"\f76f"}.fa-file-circle-plus:before{content:"\e494"}.fa-book-quran:before,.fa-quran:before{content:"\f687"}.fa-anchor:before{content:"\f13d"}.fa-border-all:before{content:"\f84c"}.fa-angry:before,.fa-face-angry:before{content:"\f556"}.fa-cookie-bite:before{content:"\f564"}.fa-arrow-trend-down:before{content:"\e097"}.fa-feed:before,.fa-rss:before{content:"\f09e"}.fa-draw-polygon:before{content:"\f5ee"}.fa-balance-scale:before,.fa-scale-balanced:before{content:"\f24e"}.fa-gauge-simple-high:before,.fa-tachometer-fast:before,.fa-tachometer:before{content:"\f62a"}.fa-shower:before{content:"\f2cc"}.fa-desktop-alt:before,.fa-desktop:before{content:"\f390"}.fa-m:before{content:"\4d"}.fa-table-list:before,.fa-th-list:before{content:"\f00b"}.fa-comment-sms:before,.fa-sms:before{content:"\f7cd"}.fa-book:before{content:"\f02d"}.fa-user-plus:before{content:"\f234"}.fa-check:before{content:"\f00c"}.fa-battery-4:before,.fa-battery-three-quarters:before{content:"\f241"}.fa-house-circle-check:before{content:"\e509"}.fa-angle-left:before{content:"\f104"}.fa-diagram-successor:before{content:"\e47a"}.fa-truck-arrow-right:before{content:"\e58b"}.fa-arrows-split-up-and-left:before{content:"\e4bc"}.fa-fist-raised:before,.fa-hand-fist:before{content:"\f6de"}.fa-cloud-moon:before{content:"\f6c3"}.fa-briefcase:before{content:"\f0b1"}.fa-person-falling:before{content:"\e546"}.fa-image-portrait:before,.fa-portrait:before{content:"\f3e0"}.fa-user-tag:before{content:"\f507"}.fa-rug:before{content:"\e569"}.fa-earth-europe:before,.fa-globe-europe:before{content:"\f7a2"}.fa-cart-flatbed-suitcase:before,.fa-luggage-cart:before{content:"\f59d"}.fa-rectangle-times:before,.fa-rectangle-xmark:before,.fa-times-rectangle:before,.fa-window-close:before{content:"\f410"}.fa-baht-sign:before{content:"\e0ac"}.fa-book-open:before{content:"\f518"}.fa-book-journal-whills:before,.fa-journal-whills:before{content:"\f66a"}.fa-handcuffs:before{content:"\e4f8"}.fa-exclamation-triangle:before,.fa-triangle-exclamation:before,.fa-warning:before{content:"\f071"}.fa-database:before{content:"\f1c0"}.fa-mail-forward:before,.fa-share:before{content:"\f064"}.fa-bottle-droplet:before{content:"\e4c4"}.fa-mask-face:before{content:"\e1d7"}.fa-hill-rockslide:before{content:"\e508"}.fa-exchange-alt:before,.fa-right-left:before{content:"\f362"}.fa-paper-plane:before{content:"\f1d8"}.fa-road-circle-exclamation:before{content:"\e565"}.fa-dungeon:before{content:"\f6d9"}.fa-align-right:before{content:"\f038"}.fa-money-bill-1-wave:before,.fa-money-bill-wave-alt:before{content:"\f53b"}.fa-life-ring:before{content:"\f1cd"}.fa-hands:before,.fa-sign-language:before,.fa-signing:before{content:"\f2a7"}.fa-calendar-day:before{content:"\f783"}.fa-ladder-water:before,.fa-swimming-pool:before,.fa-water-ladder:before{content:"\f5c5"}.fa-arrows-up-down:before,.fa-arrows-v:before{content:"\f07d"}.fa-face-grimace:before,.fa-grimace:before{content:"\f57f"}.fa-wheelchair-alt:before,.fa-wheelchair-move:before{content:"\e2ce"}.fa-level-down-alt:before,.fa-turn-down:before{content:"\f3be"}.fa-person-walking-arrow-right:before{content:"\e552"}.fa-envelope-square:before,.fa-square-envelope:before{content:"\f199"}.fa-dice:before{content:"\f522"}.fa-bowling-ball:before{content:"\f436"}.fa-brain:before{content:"\f5dc"}.fa-band-aid:before,.fa-bandage:before{content:"\f462"}.fa-calendar-minus:before{content:"\f272"}.fa-circle-xmark:before,.fa-times-circle:before,.fa-xmark-circle:before{content:"\f057"}.fa-gifts:before{content:"\f79c"}.fa-hotel:before{content:"\f594"}.fa-earth-asia:before,.fa-globe-asia:before{content:"\f57e"}.fa-id-card-alt:before,.fa-id-card-clip:before{content:"\f47f"}.fa-magnifying-glass-plus:before,.fa-search-plus:before{content:"\f00e"}.fa-thumbs-up:before{content:"\f164"}.fa-user-clock:before{content:"\f4fd"}.fa-allergies:before,.fa-hand-dots:before{content:"\f461"}.fa-file-invoice:before{content:"\f570"}.fa-window-minimize:before{content:"\f2d1"}.fa-coffee:before,.fa-mug-saucer:before{content:"\f0f4"}.fa-brush:before{content:"\f55d"}.fa-mask:before{content:"\f6fa"}.fa-magnifying-glass-minus:before,.fa-search-minus:before{content:"\f010"}.fa-ruler-vertical:before{content:"\f548"}.fa-user-alt:before,.fa-user-large:before{content:"\f406"}.fa-train-tram:before{content:"\e5b4"}.fa-user-nurse:before{content:"\f82f"}.fa-syringe:before{content:"\f48e"}.fa-cloud-sun:before{content:"\f6c4"}.fa-stopwatch-20:before{content:"\e06f"}.fa-square-full:before{content:"\f45c"}.fa-magnet:before{content:"\f076"}.fa-jar:before{content:"\e516"}.fa-note-sticky:before,.fa-sticky-note:before{content:"\f249"}.fa-bug-slash:before{content:"\e490"}.fa-arrow-up-from-water-pump:before{content:"\e4b6"}.fa-bone:before{content:"\f5d7"}.fa-user-injured:before{content:"\f728"}.fa-face-sad-tear:before,.fa-sad-tear:before{content:"\f5b4"}.fa-plane:before{content:"\f072"}.fa-tent-arrows-down:before{content:"\e581"}.fa-exclamation:before{content:"\21"}.fa-arrows-spin:before{content:"\e4bb"}.fa-print:before{content:"\f02f"}.fa-try:before,.fa-turkish-lira-sign:before,.fa-turkish-lira:before{content:"\e2bb"}.fa-dollar-sign:before,.fa-dollar:before,.fa-usd:before{content:"\24"}.fa-x:before{content:"\58"}.fa-magnifying-glass-dollar:before,.fa-search-dollar:before{content:"\f688"}.fa-users-cog:before,.fa-users-gear:before{content:"\f509"}.fa-person-military-pointing:before{content:"\e54a"}.fa-bank:before,.fa-building-columns:before,.fa-institution:before,.fa-museum:before,.fa-university:before{content:"\f19c"}.fa-umbrella:before{content:"\f0e9"}.fa-trowel:before{content:"\e589"}.fa-d:before{content:"\44"}.fa-stapler:before{content:"\e5af"}.fa-masks-theater:before,.fa-theater-masks:before{content:"\f630"}.fa-kip-sign:before{content:"\e1c4"}.fa-hand-point-left:before{content:"\f0a5"}.fa-handshake-alt:before,.fa-handshake-simple:before{content:"\f4c6"}.fa-fighter-jet:before,.fa-jet-fighter:before{content:"\f0fb"}.fa-share-alt-square:before,.fa-square-share-nodes:before{content:"\f1e1"}.fa-barcode:before{content:"\f02a"}.fa-plus-minus:before{content:"\e43c"}.fa-video-camera:before,.fa-video:before{content:"\f03d"}.fa-graduation-cap:before,.fa-mortar-board:before{content:"\f19d"}.fa-hand-holding-medical:before{content:"\e05c"}.fa-person-circle-check:before{content:"\e53e"}.fa-level-up-alt:before,.fa-turn-up:before{content:"\f3bf"}
+.fa-sr-only,.fa-sr-only-focusable:not(:focus),.sr-only,.sr-only-focusable:not(:focus){position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0,0,0,0);white-space:nowrap;border-width:0}:host,:root{--fa-style-family-brands:"Font Awesome 6 Brands";--fa-font-brands:normal 400 1em/1 "Font Awesome 6 Brands"}@font-face{font-family:"Font Awesome 6 Brands";font-style:normal;font-weight:400;font-display:block;src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }.fa-brands,.fab{font-weight:400}.fa-monero:before{content:"\f3d0"}.fa-hooli:before{content:"\f427"}.fa-yelp:before{content:"\f1e9"}.fa-cc-visa:before{content:"\f1f0"}.fa-lastfm:before{content:"\f202"}.fa-shopware:before{content:"\f5b5"}.fa-creative-commons-nc:before{content:"\f4e8"}.fa-aws:before{content:"\f375"}.fa-redhat:before{content:"\f7bc"}.fa-yoast:before{content:"\f2b1"}.fa-cloudflare:before{content:"\e07d"}.fa-ups:before{content:"\f7e0"}.fa-pixiv:before{content:"\e640"}.fa-wpexplorer:before{content:"\f2de"}.fa-dyalog:before{content:"\f399"}.fa-bity:before{content:"\f37a"}.fa-stackpath:before{content:"\f842"}.fa-buysellads:before{content:"\f20d"}.fa-first-order:before{content:"\f2b0"}.fa-modx:before{content:"\f285"}.fa-guilded:before{content:"\e07e"}.fa-vnv:before{content:"\f40b"}.fa-js-square:before,.fa-square-js:before{content:"\f3b9"}.fa-microsoft:before{content:"\f3ca"}.fa-qq:before{content:"\f1d6"}.fa-orcid:before{content:"\f8d2"}.fa-java:before{content:"\f4e4"}.fa-invision:before{content:"\f7b0"}.fa-creative-commons-pd-alt:before{content:"\f4ed"}.fa-centercode:before{content:"\f380"}.fa-glide-g:before{content:"\f2a6"}.fa-drupal:before{content:"\f1a9"}.fa-jxl:before{content:"\e67b"}.fa-hire-a-helper:before{content:"\f3b0"}.fa-creative-commons-by:before{content:"\f4e7"}.fa-unity:before{content:"\e049"}.fa-whmcs:before{content:"\f40d"}.fa-rocketchat:before{content:"\f3e8"}.fa-vk:before{content:"\f189"}.fa-untappd:before{content:"\f405"}.fa-mailchimp:before{content:"\f59e"}.fa-css3-alt:before{content:"\f38b"}.fa-reddit-square:before,.fa-square-reddit:before{content:"\f1a2"}.fa-vimeo-v:before{content:"\f27d"}.fa-contao:before{content:"\f26d"}.fa-square-font-awesome:before{content:"\e5ad"}.fa-deskpro:before{content:"\f38f"}.fa-brave:before{content:"\e63c"}.fa-sistrix:before{content:"\f3ee"}.fa-instagram-square:before,.fa-square-instagram:before{content:"\e055"}.fa-battle-net:before{content:"\f835"}.fa-the-red-yeti:before{content:"\f69d"}.fa-hacker-news-square:before,.fa-square-hacker-news:before{content:"\f3af"}.fa-edge:before{content:"\f282"}.fa-threads:before{content:"\e618"}.fa-napster:before{content:"\f3d2"}.fa-snapchat-square:before,.fa-square-snapchat:before{content:"\f2ad"}.fa-google-plus-g:before{content:"\f0d5"}.fa-artstation:before{content:"\f77a"}.fa-markdown:before{content:"\f60f"}.fa-sourcetree:before{content:"\f7d3"}.fa-google-plus:before{content:"\f2b3"}.fa-diaspora:before{content:"\f791"}.fa-foursquare:before{content:"\f180"}.fa-stack-overflow:before{content:"\f16c"}.fa-github-alt:before{content:"\f113"}.fa-phoenix-squadron:before{content:"\f511"}.fa-pagelines:before{content:"\f18c"}.fa-algolia:before{content:"\f36c"}.fa-red-river:before{content:"\f3e3"}.fa-creative-commons-sa:before{content:"\f4ef"}.fa-safari:before{content:"\f267"}.fa-google:before{content:"\f1a0"}.fa-font-awesome-alt:before,.fa-square-font-awesome-stroke:before{content:"\f35c"}.fa-atlassian:before{content:"\f77b"}.fa-linkedin-in:before{content:"\f0e1"}.fa-digital-ocean:before{content:"\f391"}.fa-nimblr:before{content:"\f5a8"}.fa-chromecast:before{content:"\f838"}.fa-evernote:before{content:"\f839"}.fa-hacker-news:before{content:"\f1d4"}.fa-creative-commons-sampling:before{content:"\f4f0"}.fa-adversal:before{content:"\f36a"}.fa-creative-commons:before{content:"\f25e"}.fa-watchman-monitoring:before{content:"\e087"}.fa-fonticons:before{content:"\f280"}.fa-weixin:before{content:"\f1d7"}.fa-shirtsinbulk:before{content:"\f214"}.fa-codepen:before{content:"\f1cb"}.fa-git-alt:before{content:"\f841"}.fa-lyft:before{content:"\f3c3"}.fa-rev:before{content:"\f5b2"}.fa-windows:before{content:"\f17a"}.fa-wizards-of-the-coast:before{content:"\f730"}.fa-square-viadeo:before,.fa-viadeo-square:before{content:"\f2aa"}.fa-meetup:before{content:"\f2e0"}.fa-centos:before{content:"\f789"}.fa-adn:before{content:"\f170"}.fa-cloudsmith:before{content:"\f384"}.fa-opensuse:before{content:"\e62b"}.fa-pied-piper-alt:before{content:"\f1a8"}.fa-dribbble-square:before,.fa-square-dribbble:before{content:"\f397"}.fa-codiepie:before{content:"\f284"}.fa-node:before{content:"\f419"}.fa-mix:before{content:"\f3cb"}.fa-steam:before{content:"\f1b6"}.fa-cc-apple-pay:before{content:"\f416"}.fa-scribd:before{content:"\f28a"}.fa-debian:before{content:"\e60b"}.fa-openid:before{content:"\f19b"}.fa-instalod:before{content:"\e081"}.fa-expeditedssl:before{content:"\f23e"}.fa-sellcast:before{content:"\f2da"}.fa-square-twitter:before,.fa-twitter-square:before{content:"\f081"}.fa-r-project:before{content:"\f4f7"}.fa-delicious:before{content:"\f1a5"}.fa-freebsd:before{content:"\f3a4"}.fa-vuejs:before{content:"\f41f"}.fa-accusoft:before{content:"\f369"}.fa-ioxhost:before{content:"\f208"}.fa-fonticons-fi:before{content:"\f3a2"}.fa-app-store:before{content:"\f36f"}.fa-cc-mastercard:before{content:"\f1f1"}.fa-itunes-note:before{content:"\f3b5"}.fa-golang:before{content:"\e40f"}.fa-kickstarter:before,.fa-square-kickstarter:before{content:"\f3bb"}.fa-grav:before{content:"\f2d6"}.fa-weibo:before{content:"\f18a"}.fa-uncharted:before{content:"\e084"}.fa-firstdraft:before{content:"\f3a1"}.fa-square-youtube:before,.fa-youtube-square:before{content:"\f431"}.fa-wikipedia-w:before{content:"\f266"}.fa-rendact:before,.fa-wpressr:before{content:"\f3e4"}.fa-angellist:before{content:"\f209"}.fa-galactic-republic:before{content:"\f50c"}.fa-nfc-directional:before{content:"\e530"}.fa-skype:before{content:"\f17e"}.fa-joget:before{content:"\f3b7"}.fa-fedora:before{content:"\f798"}.fa-stripe-s:before{content:"\f42a"}.fa-meta:before{content:"\e49b"}.fa-laravel:before{content:"\f3bd"}.fa-hotjar:before{content:"\f3b1"}.fa-bluetooth-b:before{content:"\f294"}.fa-square-letterboxd:before{content:"\e62e"}.fa-sticker-mule:before{content:"\f3f7"}.fa-creative-commons-zero:before{content:"\f4f3"}.fa-hips:before{content:"\f452"}.fa-behance:before{content:"\f1b4"}.fa-reddit:before{content:"\f1a1"}.fa-discord:before{content:"\f392"}.fa-chrome:before{content:"\f268"}.fa-app-store-ios:before{content:"\f370"}.fa-cc-discover:before{content:"\f1f2"}.fa-wpbeginner:before{content:"\f297"}.fa-confluence:before{content:"\f78d"}.fa-shoelace:before{content:"\e60c"}.fa-mdb:before{content:"\f8ca"}.fa-dochub:before{content:"\f394"}.fa-accessible-icon:before{content:"\f368"}.fa-ebay:before{content:"\f4f4"}.fa-amazon:before{content:"\f270"}.fa-unsplash:before{content:"\e07c"}.fa-yarn:before{content:"\f7e3"}.fa-square-steam:before,.fa-steam-square:before{content:"\f1b7"}.fa-500px:before{content:"\f26e"}.fa-square-vimeo:before,.fa-vimeo-square:before{content:"\f194"}.fa-asymmetrik:before{content:"\f372"}.fa-font-awesome-flag:before,.fa-font-awesome-logo-full:before,.fa-font-awesome:before{content:"\f2b4"}.fa-gratipay:before{content:"\f184"}.fa-apple:before{content:"\f179"}.fa-hive:before{content:"\e07f"}.fa-gitkraken:before{content:"\f3a6"}.fa-keybase:before{content:"\f4f5"}.fa-apple-pay:before{content:"\f415"}.fa-padlet:before{content:"\e4a0"}.fa-amazon-pay:before{content:"\f42c"}.fa-github-square:before,.fa-square-github:before{content:"\f092"}.fa-stumbleupon:before{content:"\f1a4"}.fa-fedex:before{content:"\f797"}.fa-phoenix-framework:before{content:"\f3dc"}.fa-shopify:before{content:"\e057"}.fa-neos:before{content:"\f612"}.fa-square-threads:before{content:"\e619"}.fa-hackerrank:before{content:"\f5f7"}.fa-researchgate:before{content:"\f4f8"}.fa-swift:before{content:"\f8e1"}.fa-angular:before{content:"\f420"}.fa-speakap:before{content:"\f3f3"}.fa-angrycreative:before{content:"\f36e"}.fa-y-combinator:before{content:"\f23b"}.fa-empire:before{content:"\f1d1"}.fa-envira:before{content:"\f299"}.fa-google-scholar:before{content:"\e63b"}.fa-gitlab-square:before,.fa-square-gitlab:before{content:"\e5ae"}.fa-studiovinari:before{content:"\f3f8"}.fa-pied-piper:before{content:"\f2ae"}.fa-wordpress:before{content:"\f19a"}.fa-product-hunt:before{content:"\f288"}.fa-firefox:before{content:"\f269"}.fa-linode:before{content:"\f2b8"}.fa-goodreads:before{content:"\f3a8"}.fa-odnoklassniki-square:before,.fa-square-odnoklassniki:before{content:"\f264"}.fa-jsfiddle:before{content:"\f1cc"}.fa-sith:before{content:"\f512"}.fa-themeisle:before{content:"\f2b2"}.fa-page4:before{content:"\f3d7"}.fa-hashnode:before{content:"\e499"}.fa-react:before{content:"\f41b"}.fa-cc-paypal:before{content:"\f1f4"}.fa-squarespace:before{content:"\f5be"}.fa-cc-stripe:before{content:"\f1f5"}.fa-creative-commons-share:before{content:"\f4f2"}.fa-bitcoin:before{content:"\f379"}.fa-keycdn:before{content:"\f3ba"}.fa-opera:before{content:"\f26a"}.fa-itch-io:before{content:"\f83a"}.fa-umbraco:before{content:"\f8e8"}.fa-galactic-senate:before{content:"\f50d"}.fa-ubuntu:before{content:"\f7df"}.fa-draft2digital:before{content:"\f396"}.fa-stripe:before{content:"\f429"}.fa-houzz:before{content:"\f27c"}.fa-gg:before{content:"\f260"}.fa-dhl:before{content:"\f790"}.fa-pinterest-square:before,.fa-square-pinterest:before{content:"\f0d3"}.fa-xing:before{content:"\f168"}.fa-blackberry:before{content:"\f37b"}.fa-creative-commons-pd:before{content:"\f4ec"}.fa-playstation:before{content:"\f3df"}.fa-quinscape:before{content:"\f459"}.fa-less:before{content:"\f41d"}.fa-blogger-b:before{content:"\f37d"}.fa-opencart:before{content:"\f23d"}.fa-vine:before{content:"\f1ca"}.fa-signal-messenger:before{content:"\e663"}.fa-paypal:before{content:"\f1ed"}.fa-gitlab:before{content:"\f296"}.fa-typo3:before{content:"\f42b"}.fa-reddit-alien:before{content:"\f281"}.fa-yahoo:before{content:"\f19e"}.fa-dailymotion:before{content:"\e052"}.fa-affiliatetheme:before{content:"\f36b"}.fa-pied-piper-pp:before{content:"\f1a7"}.fa-bootstrap:before{content:"\f836"}.fa-odnoklassniki:before{content:"\f263"}.fa-nfc-symbol:before{content:"\e531"}.fa-mintbit:before{content:"\e62f"}.fa-ethereum:before{content:"\f42e"}.fa-speaker-deck:before{content:"\f83c"}.fa-creative-commons-nc-eu:before{content:"\f4e9"}.fa-patreon:before{content:"\f3d9"}.fa-avianex:before{content:"\f374"}.fa-ello:before{content:"\f5f1"}.fa-gofore:before{content:"\f3a7"}.fa-bimobject:before{content:"\f378"}.fa-brave-reverse:before{content:"\e63d"}.fa-facebook-f:before{content:"\f39e"}.fa-google-plus-square:before,.fa-square-google-plus:before{content:"\f0d4"}.fa-web-awesome:before{content:"\e682"}.fa-mandalorian:before{content:"\f50f"}.fa-first-order-alt:before{content:"\f50a"}.fa-osi:before{content:"\f41a"}.fa-google-wallet:before{content:"\f1ee"}.fa-d-and-d-beyond:before{content:"\f6ca"}.fa-periscope:before{content:"\f3da"}.fa-fulcrum:before{content:"\f50b"}.fa-cloudscale:before{content:"\f383"}.fa-forumbee:before{content:"\f211"}.fa-mizuni:before{content:"\f3cc"}.fa-schlix:before{content:"\f3ea"}.fa-square-xing:before,.fa-xing-square:before{content:"\f169"}.fa-bandcamp:before{content:"\f2d5"}.fa-wpforms:before{content:"\f298"}.fa-cloudversify:before{content:"\f385"}.fa-usps:before{content:"\f7e1"}.fa-megaport:before{content:"\f5a3"}.fa-magento:before{content:"\f3c4"}.fa-spotify:before{content:"\f1bc"}.fa-optin-monster:before{content:"\f23c"}.fa-fly:before{content:"\f417"}.fa-aviato:before{content:"\f421"}.fa-itunes:before{content:"\f3b4"}.fa-cuttlefish:before{content:"\f38c"}.fa-blogger:before{content:"\f37c"}.fa-flickr:before{content:"\f16e"}.fa-viber:before{content:"\f409"}.fa-soundcloud:before{content:"\f1be"}.fa-digg:before{content:"\f1a6"}.fa-tencent-weibo:before{content:"\f1d5"}.fa-letterboxd:before{content:"\e62d"}.fa-symfony:before{content:"\f83d"}.fa-maxcdn:before{content:"\f136"}.fa-etsy:before{content:"\f2d7"}.fa-facebook-messenger:before{content:"\f39f"}.fa-audible:before{content:"\f373"}.fa-think-peaks:before{content:"\f731"}.fa-bilibili:before{content:"\e3d9"}.fa-erlang:before{content:"\f39d"}.fa-x-twitter:before{content:"\e61b"}.fa-cotton-bureau:before{content:"\f89e"}.fa-dashcube:before{content:"\f210"}.fa-42-group:before,.fa-innosoft:before{content:"\e080"}.fa-stack-exchange:before{content:"\f18d"}.fa-elementor:before{content:"\f430"}.fa-pied-piper-square:before,.fa-square-pied-piper:before{content:"\e01e"}.fa-creative-commons-nd:before{content:"\f4eb"}.fa-palfed:before{content:"\f3d8"}.fa-superpowers:before{content:"\f2dd"}.fa-resolving:before{content:"\f3e7"}.fa-xbox:before{content:"\f412"}.fa-square-web-awesome-stroke:before{content:"\e684"}.fa-searchengin:before{content:"\f3eb"}.fa-tiktok:before{content:"\e07b"}.fa-facebook-square:before,.fa-square-facebook:before{content:"\f082"}.fa-renren:before{content:"\f18b"}.fa-linux:before{content:"\f17c"}.fa-glide:before{content:"\f2a5"}.fa-linkedin:before{content:"\f08c"}.fa-hubspot:before{content:"\f3b2"}.fa-deploydog:before{content:"\f38e"}.fa-twitch:before{content:"\f1e8"}.fa-ravelry:before{content:"\f2d9"}.fa-mixer:before{content:"\e056"}.fa-lastfm-square:before,.fa-square-lastfm:before{content:"\f203"}.fa-vimeo:before{content:"\f40a"}.fa-mendeley:before{content:"\f7b3"}.fa-uniregistry:before{content:"\f404"}.fa-figma:before{content:"\f799"}.fa-creative-commons-remix:before{content:"\f4ee"}.fa-cc-amazon-pay:before{content:"\f42d"}.fa-dropbox:before{content:"\f16b"}.fa-instagram:before{content:"\f16d"}.fa-cmplid:before{content:"\e360"}.fa-upwork:before{content:"\e641"}.fa-facebook:before{content:"\f09a"}.fa-gripfire:before{content:"\f3ac"}.fa-jedi-order:before{content:"\f50e"}.fa-uikit:before{content:"\f403"}.fa-fort-awesome-alt:before{content:"\f3a3"}.fa-phabricator:before{content:"\f3db"}.fa-ussunnah:before{content:"\f407"}.fa-earlybirds:before{content:"\f39a"}.fa-trade-federation:before{content:"\f513"}.fa-autoprefixer:before{content:"\f41c"}.fa-whatsapp:before{content:"\f232"}.fa-square-upwork:before{content:"\e67c"}.fa-slideshare:before{content:"\f1e7"}.fa-google-play:before{content:"\f3ab"}.fa-viadeo:before{content:"\f2a9"}.fa-line:before{content:"\f3c0"}.fa-google-drive:before{content:"\f3aa"}.fa-servicestack:before{content:"\f3ec"}.fa-simplybuilt:before{content:"\f215"}.fa-bitbucket:before{content:"\f171"}.fa-imdb:before{content:"\f2d8"}.fa-deezer:before{content:"\e077"}.fa-raspberry-pi:before{content:"\f7bb"}.fa-jira:before{content:"\f7b1"}.fa-docker:before{content:"\f395"}.fa-screenpal:before{content:"\e570"}.fa-bluetooth:before{content:"\f293"}.fa-gitter:before{content:"\f426"}.fa-d-and-d:before{content:"\f38d"}.fa-microblog:before{content:"\e01a"}.fa-cc-diners-club:before{content:"\f24c"}.fa-gg-circle:before{content:"\f261"}.fa-pied-piper-hat:before{content:"\f4e5"}.fa-kickstarter-k:before{content:"\f3bc"}.fa-yandex:before{content:"\f413"}.fa-readme:before{content:"\f4d5"}.fa-html5:before{content:"\f13b"}.fa-sellsy:before{content:"\f213"}.fa-square-web-awesome:before{content:"\e683"}.fa-sass:before{content:"\f41e"}.fa-wirsindhandwerk:before,.fa-wsh:before{content:"\e2d0"}.fa-buromobelexperte:before{content:"\f37f"}.fa-salesforce:before{content:"\f83b"}.fa-octopus-deploy:before{content:"\e082"}.fa-medapps:before{content:"\f3c6"}.fa-ns8:before{content:"\f3d5"}.fa-pinterest-p:before{content:"\f231"}.fa-apper:before{content:"\f371"}.fa-fort-awesome:before{content:"\f286"}.fa-waze:before{content:"\f83f"}.fa-bluesky:before{content:"\e671"}.fa-cc-jcb:before{content:"\f24b"}.fa-snapchat-ghost:before,.fa-snapchat:before{content:"\f2ab"}.fa-fantasy-flight-games:before{content:"\f6dc"}.fa-rust:before{content:"\e07a"}.fa-wix:before{content:"\f5cf"}.fa-behance-square:before,.fa-square-behance:before{content:"\f1b5"}.fa-supple:before{content:"\f3f9"}.fa-webflow:before{content:"\e65c"}.fa-rebel:before{content:"\f1d0"}.fa-css3:before{content:"\f13c"}.fa-staylinked:before{content:"\f3f5"}.fa-kaggle:before{content:"\f5fa"}.fa-space-awesome:before{content:"\e5ac"}.fa-deviantart:before{content:"\f1bd"}.fa-cpanel:before{content:"\f388"}.fa-goodreads-g:before{content:"\f3a9"}.fa-git-square:before,.fa-square-git:before{content:"\f1d2"}.fa-square-tumblr:before,.fa-tumblr-square:before{content:"\f174"}.fa-trello:before{content:"\f181"}.fa-creative-commons-nc-jp:before{content:"\f4ea"}.fa-get-pocket:before{content:"\f265"}.fa-perbyte:before{content:"\e083"}.fa-grunt:before{content:"\f3ad"}.fa-weebly:before{content:"\f5cc"}.fa-connectdevelop:before{content:"\f20e"}.fa-leanpub:before{content:"\f212"}.fa-black-tie:before{content:"\f27e"}.fa-themeco:before{content:"\f5c6"}.fa-python:before{content:"\f3e2"}.fa-android:before{content:"\f17b"}.fa-bots:before{content:"\e340"}.fa-free-code-camp:before{content:"\f2c5"}.fa-hornbill:before{content:"\f592"}.fa-js:before{content:"\f3b8"}.fa-ideal:before{content:"\e013"}.fa-git:before{content:"\f1d3"}.fa-dev:before{content:"\f6cc"}.fa-sketch:before{content:"\f7c6"}.fa-yandex-international:before{content:"\f414"}.fa-cc-amex:before{content:"\f1f3"}.fa-uber:before{content:"\f402"}.fa-github:before{content:"\f09b"}.fa-php:before{content:"\f457"}.fa-alipay:before{content:"\f642"}.fa-youtube:before{content:"\f167"}.fa-skyatlas:before{content:"\f216"}.fa-firefox-browser:before{content:"\e007"}.fa-replyd:before{content:"\f3e6"}.fa-suse:before{content:"\f7d6"}.fa-jenkins:before{content:"\f3b6"}.fa-twitter:before{content:"\f099"}.fa-rockrms:before{content:"\f3e9"}.fa-pinterest:before{content:"\f0d2"}.fa-buffer:before{content:"\f837"}.fa-npm:before{content:"\f3d4"}.fa-yammer:before{content:"\f840"}.fa-btc:before{content:"\f15a"}.fa-dribbble:before{content:"\f17d"}.fa-stumbleupon-circle:before{content:"\f1a3"}.fa-internet-explorer:before{content:"\f26b"}.fa-stubber:before{content:"\e5c7"}.fa-telegram-plane:before,.fa-telegram:before{content:"\f2c6"}.fa-old-republic:before{content:"\f510"}.fa-odysee:before{content:"\e5c6"}.fa-square-whatsapp:before,.fa-whatsapp-square:before{content:"\f40c"}.fa-node-js:before{content:"\f3d3"}.fa-edge-legacy:before{content:"\e078"}.fa-slack-hash:before,.fa-slack:before{content:"\f198"}.fa-medrt:before{content:"\f3c8"}.fa-usb:before{content:"\f287"}.fa-tumblr:before{content:"\f173"}.fa-vaadin:before{content:"\f408"}.fa-quora:before{content:"\f2c4"}.fa-square-x-twitter:before{content:"\e61a"}.fa-reacteurope:before{content:"\f75d"}.fa-medium-m:before,.fa-medium:before{content:"\f23a"}.fa-amilia:before{content:"\f36d"}.fa-mixcloud:before{content:"\f289"}.fa-flipboard:before{content:"\f44d"}.fa-viacoin:before{content:"\f237"}.fa-critical-role:before{content:"\f6c9"}.fa-sitrox:before{content:"\e44a"}.fa-discourse:before{content:"\f393"}.fa-joomla:before{content:"\f1aa"}.fa-mastodon:before{content:"\f4f6"}.fa-airbnb:before{content:"\f834"}.fa-wolf-pack-battalion:before{content:"\f514"}.fa-buy-n-large:before{content:"\f8a6"}.fa-gulp:before{content:"\f3ae"}.fa-creative-commons-sampling-plus:before{content:"\f4f1"}.fa-strava:before{content:"\f428"}.fa-ember:before{content:"\f423"}.fa-canadian-maple-leaf:before{content:"\f785"}.fa-teamspeak:before{content:"\f4f9"}.fa-pushed:before{content:"\f3e1"}.fa-wordpress-simple:before{content:"\f411"}.fa-nutritionix:before{content:"\f3d6"}.fa-wodu:before{content:"\e088"}.fa-google-pay:before{content:"\e079"}.fa-intercom:before{content:"\f7af"}.fa-zhihu:before{content:"\f63f"}.fa-korvue:before{content:"\f42f"}.fa-pix:before{content:"\e43a"}.fa-steam-symbol:before{content:"\f3f6"}:host,:root{--fa-font-regular:normal 400 1em/1 "Font Awesome 6 Free"}@font-face{font-family:"Font Awesome 6 Free";font-style:normal;font-weight:400;font-display:block;src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }.fa-regular,.far{font-weight:400}:host,:root{--fa-style-family-classic:"Font Awesome 6 Free";--fa-font-solid:normal 900 1em/1 "Font Awesome 6 Free"}@font-face{font-family:"Font Awesome 6 Free";font-style:normal;font-weight:900;font-display:block;src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }.fa-solid,.fas{font-weight:900}@font-face{font-family:"Font Awesome 5 Brands";font-display:block;font-weight:400;src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }@font-face{font-family:"Font Awesome 5 Free";font-display:block;font-weight:900;src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }@font-face{font-family:"Font Awesome 5 Free";font-display:block;font-weight:400;src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-v4compatibility.woff2") format("woff2"), url("../webfonts/fa-v4compatibility.ttf") format("truetype"); }
\ No newline at end of file
diff --git a/docs/deps/font-awesome-6.5.2/css/v4-shims.css b/docs/deps/font-awesome-6.5.2/css/v4-shims.css
new file mode 100644
index 000000000..ea60ea4d7
--- /dev/null
+++ b/docs/deps/font-awesome-6.5.2/css/v4-shims.css
@@ -0,0 +1,2194 @@
+/*!
+ * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2024 Fonticons, Inc.
+ */
+.fa.fa-glass:before {
+  content: "\f000"; }
+
+.fa.fa-envelope-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-o:before {
+  content: "\f0e0"; }
+
+.fa.fa-star-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-o:before {
+  content: "\f005"; }
+
+.fa.fa-remove:before {
+  content: "\f00d"; }
+
+.fa.fa-close:before {
+  content: "\f00d"; }
+
+.fa.fa-gear:before {
+  content: "\f013"; }
+
+.fa.fa-trash-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-trash-o:before {
+  content: "\f2ed"; }
+
+.fa.fa-home:before {
+  content: "\f015"; }
+
+.fa.fa-file-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-o:before {
+  content: "\f15b"; }
+
+.fa.fa-clock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-clock-o:before {
+  content: "\f017"; }
+
+.fa.fa-arrow-circle-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-down:before {
+  content: "\f358"; }
+
+.fa.fa-arrow-circle-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-up:before {
+  content: "\f35b"; }
+
+.fa.fa-play-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-play-circle-o:before {
+  content: "\f144"; }
+
+.fa.fa-repeat:before {
+  content: "\f01e"; }
+
+.fa.fa-rotate-right:before {
+  content: "\f01e"; }
+
+.fa.fa-refresh:before {
+  content: "\f021"; }
+
+.fa.fa-list-alt {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-list-alt:before {
+  content: "\f022"; }
+
+.fa.fa-dedent:before {
+  content: "\f03b"; }
+
+.fa.fa-video-camera:before {
+  content: "\f03d"; }
+
+.fa.fa-picture-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-picture-o:before {
+  content: "\f03e"; }
+
+.fa.fa-photo {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-photo:before {
+  content: "\f03e"; }
+
+.fa.fa-image {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-image:before {
+  content: "\f03e"; }
+
+.fa.fa-map-marker:before {
+  content: "\f3c5"; }
+
+.fa.fa-pencil-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-pencil-square-o:before {
+  content: "\f044"; }
+
+.fa.fa-edit {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-edit:before {
+  content: "\f044"; }
+
+.fa.fa-share-square-o:before {
+  content: "\f14d"; }
+
+.fa.fa-check-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-check-square-o:before {
+  content: "\f14a"; }
+
+.fa.fa-arrows:before {
+  content: "\f0b2"; }
+
+.fa.fa-times-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-circle-o:before {
+  content: "\f057"; }
+
+.fa.fa-check-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-check-circle-o:before {
+  content: "\f058"; }
+
+.fa.fa-mail-forward:before {
+  content: "\f064"; }
+
+.fa.fa-expand:before {
+  content: "\f424"; }
+
+.fa.fa-compress:before {
+  content: "\f422"; }
+
+.fa.fa-eye {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-eye-slash {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-warning:before {
+  content: "\f071"; }
+
+.fa.fa-calendar:before {
+  content: "\f073"; }
+
+.fa.fa-arrows-v:before {
+  content: "\f338"; }
+
+.fa.fa-arrows-h:before {
+  content: "\f337"; }
+
+.fa.fa-bar-chart:before {
+  content: "\e0e3"; }
+
+.fa.fa-bar-chart-o:before {
+  content: "\e0e3"; }
+
+.fa.fa-twitter-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-twitter-square:before {
+  content: "\f081"; }
+
+.fa.fa-facebook-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook-square:before {
+  content: "\f082"; }
+
+.fa.fa-gears:before {
+  content: "\f085"; }
+
+.fa.fa-thumbs-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-thumbs-o-up:before {
+  content: "\f164"; }
+
+.fa.fa-thumbs-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-thumbs-o-down:before {
+  content: "\f165"; }
+
+.fa.fa-heart-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-heart-o:before {
+  content: "\f004"; }
+
+.fa.fa-sign-out:before {
+  content: "\f2f5"; }
+
+.fa.fa-linkedin-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-linkedin-square:before {
+  content: "\f08c"; }
+
+.fa.fa-thumb-tack:before {
+  content: "\f08d"; }
+
+.fa.fa-external-link:before {
+  content: "\f35d"; }
+
+.fa.fa-sign-in:before {
+  content: "\f2f6"; }
+
+.fa.fa-github-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-github-square:before {
+  content: "\f092"; }
+
+.fa.fa-lemon-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-lemon-o:before {
+  content: "\f094"; }
+
+.fa.fa-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-square-o:before {
+  content: "\f0c8"; }
+
+.fa.fa-bookmark-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-bookmark-o:before {
+  content: "\f02e"; }
+
+.fa.fa-twitter {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook:before {
+  content: "\f39e"; }
+
+.fa.fa-facebook-f {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook-f:before {
+  content: "\f39e"; }
+
+.fa.fa-github {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-credit-card {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-feed:before {
+  content: "\f09e"; }
+
+.fa.fa-hdd-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hdd-o:before {
+  content: "\f0a0"; }
+
+.fa.fa-hand-o-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-right:before {
+  content: "\f0a4"; }
+
+.fa.fa-hand-o-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-left:before {
+  content: "\f0a5"; }
+
+.fa.fa-hand-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-up:before {
+  content: "\f0a6"; }
+
+.fa.fa-hand-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-down:before {
+  content: "\f0a7"; }
+
+.fa.fa-globe:before {
+  content: "\f57d"; }
+
+.fa.fa-tasks:before {
+  content: "\f828"; }
+
+.fa.fa-arrows-alt:before {
+  content: "\f31e"; }
+
+.fa.fa-group:before {
+  content: "\f0c0"; }
+
+.fa.fa-chain:before {
+  content: "\f0c1"; }
+
+.fa.fa-cut:before {
+  content: "\f0c4"; }
+
+.fa.fa-files-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-files-o:before {
+  content: "\f0c5"; }
+
+.fa.fa-floppy-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-floppy-o:before {
+  content: "\f0c7"; }
+
+.fa.fa-save {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-save:before {
+  content: "\f0c7"; }
+
+.fa.fa-navicon:before {
+  content: "\f0c9"; }
+
+.fa.fa-reorder:before {
+  content: "\f0c9"; }
+
+.fa.fa-magic:before {
+  content: "\e2ca"; }
+
+.fa.fa-pinterest {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pinterest-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pinterest-square:before {
+  content: "\f0d3"; }
+
+.fa.fa-google-plus-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-square:before {
+  content: "\f0d4"; }
+
+.fa.fa-google-plus {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus:before {
+  content: "\f0d5"; }
+
+.fa.fa-money:before {
+  content: "\f3d1"; }
+
+.fa.fa-unsorted:before {
+  content: "\f0dc"; }
+
+.fa.fa-sort-desc:before {
+  content: "\f0dd"; }
+
+.fa.fa-sort-asc:before {
+  content: "\f0de"; }
+
+.fa.fa-linkedin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-linkedin:before {
+  content: "\f0e1"; }
+
+.fa.fa-rotate-left:before {
+  content: "\f0e2"; }
+
+.fa.fa-legal:before {
+  content: "\f0e3"; }
+
+.fa.fa-tachometer:before {
+  content: "\f625"; }
+
+.fa.fa-dashboard:before {
+  content: "\f625"; }
+
+.fa.fa-comment-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-comment-o:before {
+  content: "\f075"; }
+
+.fa.fa-comments-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-comments-o:before {
+  content: "\f086"; }
+
+.fa.fa-flash:before {
+  content: "\f0e7"; }
+
+.fa.fa-clipboard:before {
+  content: "\f0ea"; }
+
+.fa.fa-lightbulb-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-lightbulb-o:before {
+  content: "\f0eb"; }
+
+.fa.fa-exchange:before {
+  content: "\f362"; }
+
+.fa.fa-cloud-download:before {
+  content: "\f0ed"; }
+
+.fa.fa-cloud-upload:before {
+  content: "\f0ee"; }
+
+.fa.fa-bell-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-bell-o:before {
+  content: "\f0f3"; }
+
+.fa.fa-cutlery:before {
+  content: "\f2e7"; }
+
+.fa.fa-file-text-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-text-o:before {
+  content: "\f15c"; }
+
+.fa.fa-building-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-building-o:before {
+  content: "\f1ad"; }
+
+.fa.fa-hospital-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hospital-o:before {
+  content: "\f0f8"; }
+
+.fa.fa-tablet:before {
+  content: "\f3fa"; }
+
+.fa.fa-mobile:before {
+  content: "\f3cd"; }
+
+.fa.fa-mobile-phone:before {
+  content: "\f3cd"; }
+
+.fa.fa-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-circle-o:before {
+  content: "\f111"; }
+
+.fa.fa-mail-reply:before {
+  content: "\f3e5"; }
+
+.fa.fa-github-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-folder-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-folder-o:before {
+  content: "\f07b"; }
+
+.fa.fa-folder-open-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-folder-open-o:before {
+  content: "\f07c"; }
+
+.fa.fa-smile-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-smile-o:before {
+  content: "\f118"; }
+
+.fa.fa-frown-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-frown-o:before {
+  content: "\f119"; }
+
+.fa.fa-meh-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-meh-o:before {
+  content: "\f11a"; }
+
+.fa.fa-keyboard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-keyboard-o:before {
+  content: "\f11c"; }
+
+.fa.fa-flag-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-flag-o:before {
+  content: "\f024"; }
+
+.fa.fa-mail-reply-all:before {
+  content: "\f122"; }
+
+.fa.fa-star-half-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-o:before {
+  content: "\f5c0"; }
+
+.fa.fa-star-half-empty {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-empty:before {
+  content: "\f5c0"; }
+
+.fa.fa-star-half-full {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-full:before {
+  content: "\f5c0"; }
+
+.fa.fa-code-fork:before {
+  content: "\f126"; }
+
+.fa.fa-chain-broken:before {
+  content: "\f127"; }
+
+.fa.fa-unlink:before {
+  content: "\f127"; }
+
+.fa.fa-calendar-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-o:before {
+  content: "\f133"; }
+
+.fa.fa-maxcdn {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-html5 {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-css3 {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-unlock-alt:before {
+  content: "\f09c"; }
+
+.fa.fa-minus-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-minus-square-o:before {
+  content: "\f146"; }
+
+.fa.fa-level-up:before {
+  content: "\f3bf"; }
+
+.fa.fa-level-down:before {
+  content: "\f3be"; }
+
+.fa.fa-pencil-square:before {
+  content: "\f14b"; }
+
+.fa.fa-external-link-square:before {
+  content: "\f360"; }
+
+.fa.fa-compass {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-down:before {
+  content: "\f150"; }
+
+.fa.fa-toggle-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-down:before {
+  content: "\f150"; }
+
+.fa.fa-caret-square-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-up:before {
+  content: "\f151"; }
+
+.fa.fa-toggle-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-up:before {
+  content: "\f151"; }
+
+.fa.fa-caret-square-o-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-right:before {
+  content: "\f152"; }
+
+.fa.fa-toggle-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-right:before {
+  content: "\f152"; }
+
+.fa.fa-eur:before {
+  content: "\f153"; }
+
+.fa.fa-euro:before {
+  content: "\f153"; }
+
+.fa.fa-gbp:before {
+  content: "\f154"; }
+
+.fa.fa-usd:before {
+  content: "\24"; }
+
+.fa.fa-dollar:before {
+  content: "\24"; }
+
+.fa.fa-inr:before {
+  content: "\e1bc"; }
+
+.fa.fa-rupee:before {
+  content: "\e1bc"; }
+
+.fa.fa-jpy:before {
+  content: "\f157"; }
+
+.fa.fa-cny:before {
+  content: "\f157"; }
+
+.fa.fa-rmb:before {
+  content: "\f157"; }
+
+.fa.fa-yen:before {
+  content: "\f157"; }
+
+.fa.fa-rub:before {
+  content: "\f158"; }
+
+.fa.fa-ruble:before {
+  content: "\f158"; }
+
+.fa.fa-rouble:before {
+  content: "\f158"; }
+
+.fa.fa-krw:before {
+  content: "\f159"; }
+
+.fa.fa-won:before {
+  content: "\f159"; }
+
+.fa.fa-btc {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitcoin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitcoin:before {
+  content: "\f15a"; }
+
+.fa.fa-file-text:before {
+  content: "\f15c"; }
+
+.fa.fa-sort-alpha-asc:before {
+  content: "\f15d"; }
+
+.fa.fa-sort-alpha-desc:before {
+  content: "\f881"; }
+
+.fa.fa-sort-amount-asc:before {
+  content: "\f884"; }
+
+.fa.fa-sort-amount-desc:before {
+  content: "\f160"; }
+
+.fa.fa-sort-numeric-asc:before {
+  content: "\f162"; }
+
+.fa.fa-sort-numeric-desc:before {
+  content: "\f886"; }
+
+.fa.fa-youtube-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-youtube-square:before {
+  content: "\f431"; }
+
+.fa.fa-youtube {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-xing {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-xing-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-xing-square:before {
+  content: "\f169"; }
+
+.fa.fa-youtube-play {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-youtube-play:before {
+  content: "\f167"; }
+
+.fa.fa-dropbox {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-stack-overflow {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-instagram {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-flickr {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-adn {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitbucket {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitbucket-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitbucket-square:before {
+  content: "\f171"; }
+
+.fa.fa-tumblr {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-tumblr-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-tumblr-square:before {
+  content: "\f174"; }
+
+.fa.fa-long-arrow-down:before {
+  content: "\f309"; }
+
+.fa.fa-long-arrow-up:before {
+  content: "\f30c"; }
+
+.fa.fa-long-arrow-left:before {
+  content: "\f30a"; }
+
+.fa.fa-long-arrow-right:before {
+  content: "\f30b"; }
+
+.fa.fa-apple {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-windows {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-android {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-linux {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-dribbble {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-skype {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-foursquare {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-trello {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gratipay {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gittip {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gittip:before {
+  content: "\f184"; }
+
+.fa.fa-sun-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-sun-o:before {
+  content: "\f185"; }
+
+.fa.fa-moon-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-moon-o:before {
+  content: "\f186"; }
+
+.fa.fa-vk {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-weibo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-renren {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pagelines {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-stack-exchange {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-right:before {
+  content: "\f35a"; }
+
+.fa.fa-arrow-circle-o-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-left:before {
+  content: "\f359"; }
+
+.fa.fa-caret-square-o-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-left:before {
+  content: "\f191"; }
+
+.fa.fa-toggle-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-left:before {
+  content: "\f191"; }
+
+.fa.fa-dot-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-dot-circle-o:before {
+  content: "\f192"; }
+
+.fa.fa-vimeo-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-vimeo-square:before {
+  content: "\f194"; }
+
+.fa.fa-try:before {
+  content: "\e2bb"; }
+
+.fa.fa-turkish-lira:before {
+  content: "\e2bb"; }
+
+.fa.fa-plus-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-plus-square-o:before {
+  content: "\f0fe"; }
+
+.fa.fa-slack {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wordpress {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-openid {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-institution:before {
+  content: "\f19c"; }
+
+.fa.fa-bank:before {
+  content: "\f19c"; }
+
+.fa.fa-mortar-board:before {
+  content: "\f19d"; }
+
+.fa.fa-yahoo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit-square:before {
+  content: "\f1a2"; }
+
+.fa.fa-stumbleupon-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-stumbleupon {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-delicious {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-digg {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pied-piper-pp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pied-piper-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-drupal {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-joomla {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-behance {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-behance-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-behance-square:before {
+  content: "\f1b5"; }
+
+.fa.fa-steam {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-steam-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-steam-square:before {
+  content: "\f1b7"; }
+
+.fa.fa-automobile:before {
+  content: "\f1b9"; }
+
+.fa.fa-cab:before {
+  content: "\f1ba"; }
+
+.fa.fa-spotify {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-deviantart {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-soundcloud {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-file-pdf-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-pdf-o:before {
+  content: "\f1c1"; }
+
+.fa.fa-file-word-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-word-o:before {
+  content: "\f1c2"; }
+
+.fa.fa-file-excel-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-excel-o:before {
+  content: "\f1c3"; }
+
+.fa.fa-file-powerpoint-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-powerpoint-o:before {
+  content: "\f1c4"; }
+
+.fa.fa-file-image-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-image-o:before {
+  content: "\f1c5"; }
+
+.fa.fa-file-photo-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-photo-o:before {
+  content: "\f1c5"; }
+
+.fa.fa-file-picture-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-picture-o:before {
+  content: "\f1c5"; }
+
+.fa.fa-file-archive-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-archive-o:before {
+  content: "\f1c6"; }
+
+.fa.fa-file-zip-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-zip-o:before {
+  content: "\f1c6"; }
+
+.fa.fa-file-audio-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-audio-o:before {
+  content: "\f1c7"; }
+
+.fa.fa-file-sound-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-sound-o:before {
+  content: "\f1c7"; }
+
+.fa.fa-file-video-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-video-o:before {
+  content: "\f1c8"; }
+
+.fa.fa-file-movie-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-movie-o:before {
+  content: "\f1c8"; }
+
+.fa.fa-file-code-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-code-o:before {
+  content: "\f1c9"; }
+
+.fa.fa-vine {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-codepen {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-jsfiddle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-life-bouy:before {
+  content: "\f1cd"; }
+
+.fa.fa-life-buoy:before {
+  content: "\f1cd"; }
+
+.fa.fa-life-saver:before {
+  content: "\f1cd"; }
+
+.fa.fa-support:before {
+  content: "\f1cd"; }
+
+.fa.fa-circle-o-notch:before {
+  content: "\f1ce"; }
+
+.fa.fa-rebel {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ra {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ra:before {
+  content: "\f1d0"; }
+
+.fa.fa-resistance {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-resistance:before {
+  content: "\f1d0"; }
+
+.fa.fa-empire {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ge {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ge:before {
+  content: "\f1d1"; }
+
+.fa.fa-git-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-git-square:before {
+  content: "\f1d2"; }
+
+.fa.fa-git {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-hacker-news {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-y-combinator-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-y-combinator-square:before {
+  content: "\f1d4"; }
+
+.fa.fa-yc-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yc-square:before {
+  content: "\f1d4"; }
+
+.fa.fa-tencent-weibo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-qq {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-weixin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wechat {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wechat:before {
+  content: "\f1d7"; }
+
+.fa.fa-send:before {
+  content: "\f1d8"; }
+
+.fa.fa-paper-plane-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-paper-plane-o:before {
+  content: "\f1d8"; }
+
+.fa.fa-send-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-send-o:before {
+  content: "\f1d8"; }
+
+.fa.fa-circle-thin {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-circle-thin:before {
+  content: "\f111"; }
+
+.fa.fa-header:before {
+  content: "\f1dc"; }
+
+.fa.fa-futbol-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-futbol-o:before {
+  content: "\f1e3"; }
+
+.fa.fa-soccer-ball-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-soccer-ball-o:before {
+  content: "\f1e3"; }
+
+.fa.fa-slideshare {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-twitch {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yelp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-newspaper-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-newspaper-o:before {
+  content: "\f1ea"; }
+
+.fa.fa-paypal {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-wallet {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-visa {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-mastercard {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-discover {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-amex {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-paypal {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-stripe {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bell-slash-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-bell-slash-o:before {
+  content: "\f1f6"; }
+
+.fa.fa-trash:before {
+  content: "\f2ed"; }
+
+.fa.fa-copyright {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-eyedropper:before {
+  content: "\f1fb"; }
+
+.fa.fa-area-chart:before {
+  content: "\f1fe"; }
+
+.fa.fa-pie-chart:before {
+  content: "\f200"; }
+
+.fa.fa-line-chart:before {
+  content: "\f201"; }
+
+.fa.fa-lastfm {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-lastfm-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-lastfm-square:before {
+  content: "\f203"; }
+
+.fa.fa-ioxhost {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-angellist {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-cc:before {
+  content: "\f20a"; }
+
+.fa.fa-ils:before {
+  content: "\f20b"; }
+
+.fa.fa-shekel:before {
+  content: "\f20b"; }
+
+.fa.fa-sheqel:before {
+  content: "\f20b"; }
+
+.fa.fa-buysellads {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-connectdevelop {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-dashcube {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-forumbee {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-leanpub {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-sellsy {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-shirtsinbulk {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-simplybuilt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-skyatlas {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-diamond {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-diamond:before {
+  content: "\f3a5"; }
+
+.fa.fa-transgender:before {
+  content: "\f224"; }
+
+.fa.fa-intersex:before {
+  content: "\f224"; }
+
+.fa.fa-transgender-alt:before {
+  content: "\f225"; }
+
+.fa.fa-facebook-official {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook-official:before {
+  content: "\f09a"; }
+
+.fa.fa-pinterest-p {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-whatsapp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-hotel:before {
+  content: "\f236"; }
+
+.fa.fa-viacoin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-medium {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-y-combinator {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yc {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yc:before {
+  content: "\f23b"; }
+
+.fa.fa-optin-monster {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-opencart {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-expeditedssl {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-battery-4:before {
+  content: "\f240"; }
+
+.fa.fa-battery:before {
+  content: "\f240"; }
+
+.fa.fa-battery-3:before {
+  content: "\f241"; }
+
+.fa.fa-battery-2:before {
+  content: "\f242"; }
+
+.fa.fa-battery-1:before {
+  content: "\f243"; }
+
+.fa.fa-battery-0:before {
+  content: "\f244"; }
+
+.fa.fa-object-group {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-object-ungroup {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-sticky-note-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-sticky-note-o:before {
+  content: "\f249"; }
+
+.fa.fa-cc-jcb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-diners-club {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-clone {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hourglass-o:before {
+  content: "\f254"; }
+
+.fa.fa-hourglass-1:before {
+  content: "\f251"; }
+
+.fa.fa-hourglass-2:before {
+  content: "\f252"; }
+
+.fa.fa-hourglass-3:before {
+  content: "\f253"; }
+
+.fa.fa-hand-rock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-rock-o:before {
+  content: "\f255"; }
+
+.fa.fa-hand-grab-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-grab-o:before {
+  content: "\f255"; }
+
+.fa.fa-hand-paper-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-paper-o:before {
+  content: "\f256"; }
+
+.fa.fa-hand-stop-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-stop-o:before {
+  content: "\f256"; }
+
+.fa.fa-hand-scissors-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-scissors-o:before {
+  content: "\f257"; }
+
+.fa.fa-hand-lizard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-lizard-o:before {
+  content: "\f258"; }
+
+.fa.fa-hand-spock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-spock-o:before {
+  content: "\f259"; }
+
+.fa.fa-hand-pointer-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-pointer-o:before {
+  content: "\f25a"; }
+
+.fa.fa-hand-peace-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-peace-o:before {
+  content: "\f25b"; }
+
+.fa.fa-registered {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-creative-commons {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gg {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gg-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki-square:before {
+  content: "\f264"; }
+
+.fa.fa-get-pocket {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wikipedia-w {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-safari {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-chrome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-firefox {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-opera {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-internet-explorer {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-television:before {
+  content: "\f26c"; }
+
+.fa.fa-contao {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-500px {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-amazon {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-calendar-plus-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-plus-o:before {
+  content: "\f271"; }
+
+.fa.fa-calendar-minus-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-minus-o:before {
+  content: "\f272"; }
+
+.fa.fa-calendar-times-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-times-o:before {
+  content: "\f273"; }
+
+.fa.fa-calendar-check-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-check-o:before {
+  content: "\f274"; }
+
+.fa.fa-map-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-map-o:before {
+  content: "\f279"; }
+
+.fa.fa-commenting:before {
+  content: "\f4ad"; }
+
+.fa.fa-commenting-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-commenting-o:before {
+  content: "\f4ad"; }
+
+.fa.fa-houzz {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-vimeo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-vimeo:before {
+  content: "\f27d"; }
+
+.fa.fa-black-tie {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fonticons {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit-alien {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-edge {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-credit-card-alt:before {
+  content: "\f09d"; }
+
+.fa.fa-codiepie {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-modx {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fort-awesome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-usb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-product-hunt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-mixcloud {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-scribd {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pause-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-pause-circle-o:before {
+  content: "\f28b"; }
+
+.fa.fa-stop-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-stop-circle-o:before {
+  content: "\f28d"; }
+
+.fa.fa-bluetooth {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bluetooth-b {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gitlab {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpbeginner {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpforms {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-envira {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt:before {
+  content: "\f368"; }
+
+.fa.fa-question-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-question-circle-o:before {
+  content: "\f059"; }
+
+.fa.fa-volume-control-phone:before {
+  content: "\f2a0"; }
+
+.fa.fa-asl-interpreting:before {
+  content: "\f2a3"; }
+
+.fa.fa-deafness:before {
+  content: "\f2a4"; }
+
+.fa.fa-hard-of-hearing:before {
+  content: "\f2a4"; }
+
+.fa.fa-glide {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-glide-g {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-signing:before {
+  content: "\f2a7"; }
+
+.fa.fa-viadeo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa.fa-snapchat {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost:before {
+  content: "\f2ab"; }
+
+.fa.fa-snapchat-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa.fa-pied-piper {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-first-order {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yoast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-themeisle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official:before {
+  content: "\f2b3"; }
+
+.fa.fa-google-plus-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-circle:before {
+  content: "\f2b3"; }
+
+.fa.fa-font-awesome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa:before {
+  content: "\f2b4"; }
+
+.fa.fa-handshake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-handshake-o:before {
+  content: "\f2b5"; }
+
+.fa.fa-envelope-open-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-open-o:before {
+  content: "\f2b6"; }
+
+.fa.fa-linode {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-address-book-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-book-o:before {
+  content: "\f2b9"; }
+
+.fa.fa-vcard:before {
+  content: "\f2bb"; }
+
+.fa.fa-address-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-card-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-vcard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-vcard-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-user-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-circle-o:before {
+  content: "\f2bd"; }
+
+.fa.fa-user-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-o:before {
+  content: "\f007"; }
+
+.fa.fa-id-badge {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license:before {
+  content: "\f2c2"; }
+
+.fa.fa-id-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-id-card-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-drivers-license-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-quora {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-free-code-camp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-telegram {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-thermometer-4:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer-3:before {
+  content: "\f2c8"; }
+
+.fa.fa-thermometer-2:before {
+  content: "\f2c9"; }
+
+.fa.fa-thermometer-1:before {
+  content: "\f2ca"; }
+
+.fa.fa-thermometer-0:before {
+  content: "\f2cb"; }
+
+.fa.fa-bathtub:before {
+  content: "\f2cd"; }
+
+.fa.fa-s15:before {
+  content: "\f2cd"; }
+
+.fa.fa-window-maximize {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-restore {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle:before {
+  content: "\f410"; }
+
+.fa.fa-window-close-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-close-o:before {
+  content: "\f410"; }
+
+.fa.fa-times-rectangle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle-o:before {
+  content: "\f410"; }
+
+.fa.fa-bandcamp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-grav {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-etsy {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-imdb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ravelry {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast:before {
+  content: "\f2da"; }
+
+.fa.fa-snowflake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-snowflake-o:before {
+  content: "\f2dc"; }
+
+.fa.fa-superpowers {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpexplorer {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-meetup {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
diff --git a/docs/deps/font-awesome-6.5.2/css/v4-shims.min.css b/docs/deps/font-awesome-6.5.2/css/v4-shims.min.css
new file mode 100644
index 000000000..09baf5fcd
--- /dev/null
+++ b/docs/deps/font-awesome-6.5.2/css/v4-shims.min.css
@@ -0,0 +1,6 @@
+/*!
+ * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2024 Fonticons, Inc.
+ */
+.fa.fa-glass:before{content:"\f000"}.fa.fa-envelope-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-envelope-o:before{content:"\f0e0"}.fa.fa-star-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-o:before{content:"\f005"}.fa.fa-close:before,.fa.fa-remove:before{content:"\f00d"}.fa.fa-gear:before{content:"\f013"}.fa.fa-trash-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-trash-o:before{content:"\f2ed"}.fa.fa-home:before{content:"\f015"}.fa.fa-file-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-o:before{content:"\f15b"}.fa.fa-clock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-clock-o:before{content:"\f017"}.fa.fa-arrow-circle-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-down:before{content:"\f358"}.fa.fa-arrow-circle-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-up:before{content:"\f35b"}.fa.fa-play-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-play-circle-o:before{content:"\f144"}.fa.fa-repeat:before,.fa.fa-rotate-right:before{content:"\f01e"}.fa.fa-refresh:before{content:"\f021"}.fa.fa-list-alt{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-list-alt:before{content:"\f022"}.fa.fa-dedent:before{content:"\f03b"}.fa.fa-video-camera:before{content:"\f03d"}.fa.fa-picture-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-picture-o:before{content:"\f03e"}.fa.fa-photo{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-photo:before{content:"\f03e"}.fa.fa-image{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-image:before{content:"\f03e"}.fa.fa-map-marker:before{content:"\f3c5"}.fa.fa-pencil-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-pencil-square-o:before{content:"\f044"}.fa.fa-edit{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-edit:before{content:"\f044"}.fa.fa-share-square-o:before{content:"\f14d"}.fa.fa-check-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-check-square-o:before{content:"\f14a"}.fa.fa-arrows:before{content:"\f0b2"}.fa.fa-times-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-times-circle-o:before{content:"\f057"}.fa.fa-check-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-check-circle-o:before{content:"\f058"}.fa.fa-mail-forward:before{content:"\f064"}.fa.fa-expand:before{content:"\f424"}.fa.fa-compress:before{content:"\f422"}.fa.fa-eye,.fa.fa-eye-slash{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-warning:before{content:"\f071"}.fa.fa-calendar:before{content:"\f073"}.fa.fa-arrows-v:before{content:"\f338"}.fa.fa-arrows-h:before{content:"\f337"}.fa.fa-bar-chart-o:before,.fa.fa-bar-chart:before{content:"\e0e3"}.fa.fa-twitter-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-twitter-square:before{content:"\f081"}.fa.fa-facebook-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook-square:before{content:"\f082"}.fa.fa-gears:before{content:"\f085"}.fa.fa-thumbs-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-thumbs-o-up:before{content:"\f164"}.fa.fa-thumbs-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-thumbs-o-down:before{content:"\f165"}.fa.fa-heart-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-heart-o:before{content:"\f004"}.fa.fa-sign-out:before{content:"\f2f5"}.fa.fa-linkedin-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-linkedin-square:before{content:"\f08c"}.fa.fa-thumb-tack:before{content:"\f08d"}.fa.fa-external-link:before{content:"\f35d"}.fa.fa-sign-in:before{content:"\f2f6"}.fa.fa-github-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-github-square:before{content:"\f092"}.fa.fa-lemon-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-lemon-o:before{content:"\f094"}.fa.fa-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-square-o:before{content:"\f0c8"}.fa.fa-bookmark-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-bookmark-o:before{content:"\f02e"}.fa.fa-facebook,.fa.fa-twitter{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook:before{content:"\f39e"}.fa.fa-facebook-f{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook-f:before{content:"\f39e"}.fa.fa-github{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-credit-card{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-feed:before{content:"\f09e"}.fa.fa-hdd-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hdd-o:before{content:"\f0a0"}.fa.fa-hand-o-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-right:before{content:"\f0a4"}.fa.fa-hand-o-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-left:before{content:"\f0a5"}.fa.fa-hand-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-up:before{content:"\f0a6"}.fa.fa-hand-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-down:before{content:"\f0a7"}.fa.fa-globe:before{content:"\f57d"}.fa.fa-tasks:before{content:"\f828"}.fa.fa-arrows-alt:before{content:"\f31e"}.fa.fa-group:before{content:"\f0c0"}.fa.fa-chain:before{content:"\f0c1"}.fa.fa-cut:before{content:"\f0c4"}.fa.fa-files-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-files-o:before{content:"\f0c5"}.fa.fa-floppy-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-floppy-o:before{content:"\f0c7"}.fa.fa-save{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-save:before{content:"\f0c7"}.fa.fa-navicon:before,.fa.fa-reorder:before{content:"\f0c9"}.fa.fa-magic:before{content:"\e2ca"}.fa.fa-pinterest,.fa.fa-pinterest-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-pinterest-square:before{content:"\f0d3"}.fa.fa-google-plus-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus-square:before{content:"\f0d4"}.fa.fa-google-plus{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus:before{content:"\f0d5"}.fa.fa-money:before{content:"\f3d1"}.fa.fa-unsorted:before{content:"\f0dc"}.fa.fa-sort-desc:before{content:"\f0dd"}.fa.fa-sort-asc:before{content:"\f0de"}.fa.fa-linkedin{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-linkedin:before{content:"\f0e1"}.fa.fa-rotate-left:before{content:"\f0e2"}.fa.fa-legal:before{content:"\f0e3"}.fa.fa-dashboard:before,.fa.fa-tachometer:before{content:"\f625"}.fa.fa-comment-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-comment-o:before{content:"\f075"}.fa.fa-comments-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-comments-o:before{content:"\f086"}.fa.fa-flash:before{content:"\f0e7"}.fa.fa-clipboard:before{content:"\f0ea"}.fa.fa-lightbulb-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-lightbulb-o:before{content:"\f0eb"}.fa.fa-exchange:before{content:"\f362"}.fa.fa-cloud-download:before{content:"\f0ed"}.fa.fa-cloud-upload:before{content:"\f0ee"}.fa.fa-bell-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-bell-o:before{content:"\f0f3"}.fa.fa-cutlery:before{content:"\f2e7"}.fa.fa-file-text-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-text-o:before{content:"\f15c"}.fa.fa-building-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-building-o:before{content:"\f1ad"}.fa.fa-hospital-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hospital-o:before{content:"\f0f8"}.fa.fa-tablet:before{content:"\f3fa"}.fa.fa-mobile-phone:before,.fa.fa-mobile:before{content:"\f3cd"}.fa.fa-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-circle-o:before{content:"\f111"}.fa.fa-mail-reply:before{content:"\f3e5"}.fa.fa-github-alt{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-folder-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-folder-o:before{content:"\f07b"}.fa.fa-folder-open-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-folder-open-o:before{content:"\f07c"}.fa.fa-smile-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-smile-o:before{content:"\f118"}.fa.fa-frown-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-frown-o:before{content:"\f119"}.fa.fa-meh-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-meh-o:before{content:"\f11a"}.fa.fa-keyboard-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-keyboard-o:before{content:"\f11c"}.fa.fa-flag-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-flag-o:before{content:"\f024"}.fa.fa-mail-reply-all:before{content:"\f122"}.fa.fa-star-half-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-half-o:before{content:"\f5c0"}.fa.fa-star-half-empty{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-half-empty:before{content:"\f5c0"}.fa.fa-star-half-full{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-half-full:before{content:"\f5c0"}.fa.fa-code-fork:before{content:"\f126"}.fa.fa-chain-broken:before,.fa.fa-unlink:before{content:"\f127"}.fa.fa-calendar-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-o:before{content:"\f133"}.fa.fa-css3,.fa.fa-html5,.fa.fa-maxcdn{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-unlock-alt:before{content:"\f09c"}.fa.fa-minus-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-minus-square-o:before{content:"\f146"}.fa.fa-level-up:before{content:"\f3bf"}.fa.fa-level-down:before{content:"\f3be"}.fa.fa-pencil-square:before{content:"\f14b"}.fa.fa-external-link-square:before{content:"\f360"}.fa.fa-compass{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-down:before{content:"\f150"}.fa.fa-toggle-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-down:before{content:"\f150"}.fa.fa-caret-square-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-up:before{content:"\f151"}.fa.fa-toggle-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-up:before{content:"\f151"}.fa.fa-caret-square-o-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-right:before{content:"\f152"}.fa.fa-toggle-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-right:before{content:"\f152"}.fa.fa-eur:before,.fa.fa-euro:before{content:"\f153"}.fa.fa-gbp:before{content:"\f154"}.fa.fa-dollar:before,.fa.fa-usd:before{content:"\24"}.fa.fa-inr:before,.fa.fa-rupee:before{content:"\e1bc"}.fa.fa-cny:before,.fa.fa-jpy:before,.fa.fa-rmb:before,.fa.fa-yen:before{content:"\f157"}.fa.fa-rouble:before,.fa.fa-rub:before,.fa.fa-ruble:before{content:"\f158"}.fa.fa-krw:before,.fa.fa-won:before{content:"\f159"}.fa.fa-bitcoin,.fa.fa-btc{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bitcoin:before{content:"\f15a"}.fa.fa-file-text:before{content:"\f15c"}.fa.fa-sort-alpha-asc:before{content:"\f15d"}.fa.fa-sort-alpha-desc:before{content:"\f881"}.fa.fa-sort-amount-asc:before{content:"\f884"}.fa.fa-sort-amount-desc:before{content:"\f160"}.fa.fa-sort-numeric-asc:before{content:"\f162"}.fa.fa-sort-numeric-desc:before{content:"\f886"}.fa.fa-youtube-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-youtube-square:before{content:"\f431"}.fa.fa-xing,.fa.fa-xing-square,.fa.fa-youtube{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-xing-square:before{content:"\f169"}.fa.fa-youtube-play{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-youtube-play:before{content:"\f167"}.fa.fa-adn,.fa.fa-bitbucket,.fa.fa-bitbucket-square,.fa.fa-dropbox,.fa.fa-flickr,.fa.fa-instagram,.fa.fa-stack-overflow{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bitbucket-square:before{content:"\f171"}.fa.fa-tumblr,.fa.fa-tumblr-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-tumblr-square:before{content:"\f174"}.fa.fa-long-arrow-down:before{content:"\f309"}.fa.fa-long-arrow-up:before{content:"\f30c"}.fa.fa-long-arrow-left:before{content:"\f30a"}.fa.fa-long-arrow-right:before{content:"\f30b"}.fa.fa-android,.fa.fa-apple,.fa.fa-dribbble,.fa.fa-foursquare,.fa.fa-gittip,.fa.fa-gratipay,.fa.fa-linux,.fa.fa-skype,.fa.fa-trello,.fa.fa-windows{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-gittip:before{content:"\f184"}.fa.fa-sun-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-sun-o:before{content:"\f185"}.fa.fa-moon-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-moon-o:before{content:"\f186"}.fa.fa-pagelines,.fa.fa-renren,.fa.fa-stack-exchange,.fa.fa-vk,.fa.fa-weibo{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-arrow-circle-o-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-right:before{content:"\f35a"}.fa.fa-arrow-circle-o-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-left:before{content:"\f359"}.fa.fa-caret-square-o-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-left:before{content:"\f191"}.fa.fa-toggle-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-left:before{content:"\f191"}.fa.fa-dot-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-dot-circle-o:before{content:"\f192"}.fa.fa-vimeo-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-vimeo-square:before{content:"\f194"}.fa.fa-try:before,.fa.fa-turkish-lira:before{content:"\e2bb"}.fa.fa-plus-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-plus-square-o:before{content:"\f0fe"}.fa.fa-openid,.fa.fa-slack,.fa.fa-wordpress{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bank:before,.fa.fa-institution:before{content:"\f19c"}.fa.fa-mortar-board:before{content:"\f19d"}.fa.fa-google,.fa.fa-reddit,.fa.fa-reddit-square,.fa.fa-yahoo{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-reddit-square:before{content:"\f1a2"}.fa.fa-behance,.fa.fa-behance-square,.fa.fa-delicious,.fa.fa-digg,.fa.fa-drupal,.fa.fa-joomla,.fa.fa-pied-piper-alt,.fa.fa-pied-piper-pp,.fa.fa-stumbleupon,.fa.fa-stumbleupon-circle{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-behance-square:before{content:"\f1b5"}.fa.fa-steam,.fa.fa-steam-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-steam-square:before{content:"\f1b7"}.fa.fa-automobile:before{content:"\f1b9"}.fa.fa-cab:before{content:"\f1ba"}.fa.fa-deviantart,.fa.fa-soundcloud,.fa.fa-spotify{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-file-pdf-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-pdf-o:before{content:"\f1c1"}.fa.fa-file-word-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-word-o:before{content:"\f1c2"}.fa.fa-file-excel-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-excel-o:before{content:"\f1c3"}.fa.fa-file-powerpoint-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-powerpoint-o:before{content:"\f1c4"}.fa.fa-file-image-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-image-o:before{content:"\f1c5"}.fa.fa-file-photo-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-photo-o:before{content:"\f1c5"}.fa.fa-file-picture-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-picture-o:before{content:"\f1c5"}.fa.fa-file-archive-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-archive-o:before{content:"\f1c6"}.fa.fa-file-zip-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-zip-o:before{content:"\f1c6"}.fa.fa-file-audio-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-audio-o:before{content:"\f1c7"}.fa.fa-file-sound-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-sound-o:before{content:"\f1c7"}.fa.fa-file-video-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-video-o:before{content:"\f1c8"}.fa.fa-file-movie-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-movie-o:before{content:"\f1c8"}.fa.fa-file-code-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-code-o:before{content:"\f1c9"}.fa.fa-codepen,.fa.fa-jsfiddle,.fa.fa-vine{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-life-bouy:before,.fa.fa-life-buoy:before,.fa.fa-life-saver:before,.fa.fa-support:before{content:"\f1cd"}.fa.fa-circle-o-notch:before{content:"\f1ce"}.fa.fa-ra,.fa.fa-rebel{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-ra:before{content:"\f1d0"}.fa.fa-resistance{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-resistance:before{content:"\f1d0"}.fa.fa-empire,.fa.fa-ge{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-ge:before{content:"\f1d1"}.fa.fa-git-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-git-square:before{content:"\f1d2"}.fa.fa-git,.fa.fa-hacker-news,.fa.fa-y-combinator-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-y-combinator-square:before{content:"\f1d4"}.fa.fa-yc-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-yc-square:before{content:"\f1d4"}.fa.fa-qq,.fa.fa-tencent-weibo,.fa.fa-wechat,.fa.fa-weixin{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-wechat:before{content:"\f1d7"}.fa.fa-send:before{content:"\f1d8"}.fa.fa-paper-plane-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-paper-plane-o:before{content:"\f1d8"}.fa.fa-send-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-send-o:before{content:"\f1d8"}.fa.fa-circle-thin{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-circle-thin:before{content:"\f111"}.fa.fa-header:before{content:"\f1dc"}.fa.fa-futbol-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-futbol-o:before{content:"\f1e3"}.fa.fa-soccer-ball-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-soccer-ball-o:before{content:"\f1e3"}.fa.fa-slideshare,.fa.fa-twitch,.fa.fa-yelp{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-newspaper-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-newspaper-o:before{content:"\f1ea"}.fa.fa-cc-amex,.fa.fa-cc-discover,.fa.fa-cc-mastercard,.fa.fa-cc-paypal,.fa.fa-cc-stripe,.fa.fa-cc-visa,.fa.fa-google-wallet,.fa.fa-paypal{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bell-slash-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-bell-slash-o:before{content:"\f1f6"}.fa.fa-trash:before{content:"\f2ed"}.fa.fa-copyright{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-eyedropper:before{content:"\f1fb"}.fa.fa-area-chart:before{content:"\f1fe"}.fa.fa-pie-chart:before{content:"\f200"}.fa.fa-line-chart:before{content:"\f201"}.fa.fa-lastfm,.fa.fa-lastfm-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-lastfm-square:before{content:"\f203"}.fa.fa-angellist,.fa.fa-ioxhost{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-cc{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-cc:before{content:"\f20a"}.fa.fa-ils:before,.fa.fa-shekel:before,.fa.fa-sheqel:before{content:"\f20b"}.fa.fa-buysellads,.fa.fa-connectdevelop,.fa.fa-dashcube,.fa.fa-forumbee,.fa.fa-leanpub,.fa.fa-sellsy,.fa.fa-shirtsinbulk,.fa.fa-simplybuilt,.fa.fa-skyatlas{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-diamond{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-diamond:before{content:"\f3a5"}.fa.fa-intersex:before,.fa.fa-transgender:before{content:"\f224"}.fa.fa-transgender-alt:before{content:"\f225"}.fa.fa-facebook-official{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook-official:before{content:"\f09a"}.fa.fa-pinterest-p,.fa.fa-whatsapp{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-hotel:before{content:"\f236"}.fa.fa-medium,.fa.fa-viacoin,.fa.fa-y-combinator,.fa.fa-yc{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-yc:before{content:"\f23b"}.fa.fa-expeditedssl,.fa.fa-opencart,.fa.fa-optin-monster{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-battery-4:before,.fa.fa-battery:before{content:"\f240"}.fa.fa-battery-3:before{content:"\f241"}.fa.fa-battery-2:before{content:"\f242"}.fa.fa-battery-1:before{content:"\f243"}.fa.fa-battery-0:before{content:"\f244"}.fa.fa-object-group,.fa.fa-object-ungroup,.fa.fa-sticky-note-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-sticky-note-o:before{content:"\f249"}.fa.fa-cc-diners-club,.fa.fa-cc-jcb{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-clone{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hourglass-o:before{content:"\f254"}.fa.fa-hourglass-1:before{content:"\f251"}.fa.fa-hourglass-2:before{content:"\f252"}.fa.fa-hourglass-3:before{content:"\f253"}.fa.fa-hand-rock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-rock-o:before{content:"\f255"}.fa.fa-hand-grab-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-grab-o:before{content:"\f255"}.fa.fa-hand-paper-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-paper-o:before{content:"\f256"}.fa.fa-hand-stop-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-stop-o:before{content:"\f256"}.fa.fa-hand-scissors-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-scissors-o:before{content:"\f257"}.fa.fa-hand-lizard-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-lizard-o:before{content:"\f258"}.fa.fa-hand-spock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-spock-o:before{content:"\f259"}.fa.fa-hand-pointer-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-pointer-o:before{content:"\f25a"}.fa.fa-hand-peace-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-peace-o:before{content:"\f25b"}.fa.fa-registered{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-creative-commons,.fa.fa-gg,.fa.fa-gg-circle,.fa.fa-odnoklassniki,.fa.fa-odnoklassniki-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-odnoklassniki-square:before{content:"\f264"}.fa.fa-chrome,.fa.fa-firefox,.fa.fa-get-pocket,.fa.fa-internet-explorer,.fa.fa-opera,.fa.fa-safari,.fa.fa-wikipedia-w{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-television:before{content:"\f26c"}.fa.fa-500px,.fa.fa-amazon,.fa.fa-contao{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-calendar-plus-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-plus-o:before{content:"\f271"}.fa.fa-calendar-minus-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-minus-o:before{content:"\f272"}.fa.fa-calendar-times-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-times-o:before{content:"\f273"}.fa.fa-calendar-check-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-check-o:before{content:"\f274"}.fa.fa-map-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-map-o:before{content:"\f279"}.fa.fa-commenting:before{content:"\f4ad"}.fa.fa-commenting-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-commenting-o:before{content:"\f4ad"}.fa.fa-houzz,.fa.fa-vimeo{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-vimeo:before{content:"\f27d"}.fa.fa-black-tie,.fa.fa-edge,.fa.fa-fonticons,.fa.fa-reddit-alien{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-credit-card-alt:before{content:"\f09d"}.fa.fa-codiepie,.fa.fa-fort-awesome,.fa.fa-mixcloud,.fa.fa-modx,.fa.fa-product-hunt,.fa.fa-scribd,.fa.fa-usb{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-pause-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-pause-circle-o:before{content:"\f28b"}.fa.fa-stop-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-stop-circle-o:before{content:"\f28d"}.fa.fa-bluetooth,.fa.fa-bluetooth-b,.fa.fa-envira,.fa.fa-gitlab,.fa.fa-wheelchair-alt,.fa.fa-wpbeginner,.fa.fa-wpforms{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-wheelchair-alt:before{content:"\f368"}.fa.fa-question-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-question-circle-o:before{content:"\f059"}.fa.fa-volume-control-phone:before{content:"\f2a0"}.fa.fa-asl-interpreting:before{content:"\f2a3"}.fa.fa-deafness:before,.fa.fa-hard-of-hearing:before{content:"\f2a4"}.fa.fa-glide,.fa.fa-glide-g{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-signing:before{content:"\f2a7"}.fa.fa-viadeo,.fa.fa-viadeo-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-viadeo-square:before{content:"\f2aa"}.fa.fa-snapchat,.fa.fa-snapchat-ghost{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-snapchat-ghost:before{content:"\f2ab"}.fa.fa-snapchat-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-snapchat-square:before{content:"\f2ad"}.fa.fa-first-order,.fa.fa-google-plus-official,.fa.fa-pied-piper,.fa.fa-themeisle,.fa.fa-yoast{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus-official:before{content:"\f2b3"}.fa.fa-google-plus-circle{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus-circle:before{content:"\f2b3"}.fa.fa-fa,.fa.fa-font-awesome{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-fa:before{content:"\f2b4"}.fa.fa-handshake-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-handshake-o:before{content:"\f2b5"}.fa.fa-envelope-open-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-envelope-open-o:before{content:"\f2b6"}.fa.fa-linode{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-address-book-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-address-book-o:before{content:"\f2b9"}.fa.fa-vcard:before{content:"\f2bb"}.fa.fa-address-card-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-address-card-o:before{content:"\f2bb"}.fa.fa-vcard-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-vcard-o:before{content:"\f2bb"}.fa.fa-user-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-user-circle-o:before{content:"\f2bd"}.fa.fa-user-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-user-o:before{content:"\f007"}.fa.fa-id-badge{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-drivers-license:before{content:"\f2c2"}.fa.fa-id-card-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-id-card-o:before{content:"\f2c2"}.fa.fa-drivers-license-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-drivers-license-o:before{content:"\f2c2"}.fa.fa-free-code-camp,.fa.fa-quora,.fa.fa-telegram{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-thermometer-4:before,.fa.fa-thermometer:before{content:"\f2c7"}.fa.fa-thermometer-3:before{content:"\f2c8"}.fa.fa-thermometer-2:before{content:"\f2c9"}.fa.fa-thermometer-1:before{content:"\f2ca"}.fa.fa-thermometer-0:before{content:"\f2cb"}.fa.fa-bathtub:before,.fa.fa-s15:before{content:"\f2cd"}.fa.fa-window-maximize,.fa.fa-window-restore{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-times-rectangle:before{content:"\f410"}.fa.fa-window-close-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-window-close-o:before{content:"\f410"}.fa.fa-times-rectangle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-times-rectangle-o:before{content:"\f410"}.fa.fa-bandcamp,.fa.fa-eercast,.fa.fa-etsy,.fa.fa-grav,.fa.fa-imdb,.fa.fa-ravelry{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-eercast:before{content:"\f2da"}.fa.fa-snowflake-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-snowflake-o:before{content:"\f2dc"}.fa.fa-meetup,.fa.fa-superpowers,.fa.fa-wpexplorer{font-family:"Font Awesome 6 Brands";font-weight:400}
\ No newline at end of file
diff --git a/docs/deps/font-awesome-6.5.2/webfonts/fa-brands-400.ttf b/docs/deps/font-awesome-6.5.2/webfonts/fa-brands-400.ttf
new file mode 100644
index 0000000000000000000000000000000000000000..1fbb1f7c32d46f5dcb89a50e10d00878ed43f1a1
GIT binary patch
literal 209128
zcmd4437p(TwfI~0>wWK@-g~y5?wRRKW+s`Qt&@<Y2?->S03!P$K}1ous6h}xhfPsY
zLD>YwxPV@bUM`}dB6sw1k*i$gDqJ_z0WqL*H8Ycth&uDWr>Z-dAnJYZ|K8{Gy61G&
zul721>eQ)Ir+%ZfQYxq>luH$ldF9gKGvE5Ew<x6-5xV8<3(nfQ<M+caDizqRRC2}Z
z&VTD`UvqEt+e-CpSI!@noqNt%ujvas{%+Fl0LITHz<r$iQ2fsT-REAg?b5%veLtYQ
z>y+}JfBr>hpXL0^r|(g!eTe6+7o2tJR%f026~y~VU%c?F3(lDijaHQ_^<$;n?OQK;
z^R|0ioQ=wr+ox1^m!hpMk4JU9W&G`D##Zi8A%|>AJzf3wwM}<^cK%Dw4f;`@{mPLX
zeE8Lm&VNZM=St%L;M~v%H<9w=v`UE6>OMwQOrYe`2c>fBXY>uqL+~d3T4IlAxO-Gy
zT|-{wahaU*qvQL%N*#LAD>ti2)ipnF+d$ink~AjaS`9W-k;e(#`uwb(#9voIdDav2
zb3Dg+COQ84{GWh1!vAbs310}3N775ax{3>S8h&yAXv%D+pOm<l<gcrusb9h+zP`Y%
zQ>TO*n4fcOJLXOK6Z3zfuCQbCJ0|aBBQGv-orHOa7k|N-nBQaCHc6QhKVi~(BuxCc
zJ|NsECyYOC(%85WlV)Q6MVo$pUR+a7Ge7-z)ciiDuDXefHRGFU8s(-4m;S~Z&r)wI
zWjm&>Nz)Dqld`>lU(z{ODsAdl^M9dyizf-6IN)!V*L0-}Q_e2Z2$0^CHK8KLKh@|1
zWtemm%I(xu4BY<3q=THmyQ`T`${?MW@iA>8&TZ1wO}PQ$Z1~njU8YW3hl!&e(zi6r
zYo^DI>E{}4m?X_E<tNOxwdvNCk9-{q>O0UUsi#i<30y$(I(6fQoBd{7=1sj5DuL@K
zK0-PN$eI35nEEWONZyx%YP4s<xC4!LL~)Z1zmNK5yrh12vn}#$+GO)7==VhvC%CLz
zXy8@y1?Y!1c_xXQFl8BBNLv@A6WkO54<P+9xDuCi1~i<EXUW^LzZ}Ywwh&&Vo&q@e
zBk`ey`AyuUZ3A%u6F0TLF3L9JDdoyMk-R>q4vk2E7=M9A9rA4HY_i#|`4>%jlPbqt
zWUffKX@j&WMwrYgOYah2Cw{`D`Lm>#ye57Zb4;0jEbO<L|EA1yC0~PY+>gJmGA6yH
zcRyvOOgpwW(oHqW;#p74Qx|SsMNM7e2aJD`u{)Ob-Oxxsq1sG+O65sY1RU6_;UA6g
zB5vN)W%))<?`qKDq$#u6en}_1N9vI<$Ix@JQ4eVi9SfZcOu`H5q@BQj1LX<snIGg$
z6PGm4#6fF+()U=rnKszGrVP?I%VLdM;1`;@zcK&oW;~Lno=MUOOqhE8`e}JK@wUH=
zorxz6?XYx!mwu2RoYqZV;d9M+JGS!N;5Xzq{FZ0d8u1%f=9ScIX>EdWsq<WC93C`f
z*>+7zISsID0(oSvS^OM?za}34j@#(7^eyVFm%dVV9iA<D>WnFFW2_`DbI`MmgEqkb
zq@B04-|&hCZftqVwzrWtN4e1ke%c!KOC3VjhWDE`m^|RUuCjnj;;BdGQr5;>`sF#_
zETd7k#nY|^PHwgHj&w4|(}E`{kF>G|w3>d(+Nr3(@?Mz_Y2r05V`A1iS$}1$r5(2X
zNzz;V3y&3=v}?kg@{z<1xPWf!C#y?|MAD5LG)1|6zo4Wi3G}HaRhQ~f{c5>7Rh^|?
zt<F}jQRk@Fs@JJ=)$7$8)OqTBb%DB2U8J_EH>x+OH>+*xV)YhviMmw1Rb5u8R$f^-
zzH&n4q{_`xzNzF?VX9+l<J56eCrw>5b=^~QPe1mn`meV9>L<^{o>}qCk<WbinLD1@
z{_E<mxBmJIzy9{l@Xpqq{X3WLT($Giou}_Sd*>T>UcU31U9a2q`dwG;x_;LOcipk;
ziCs@kC#M%pFP<KsUO9cj^r_RYoqqlF8>TOue&h6;rngPMefrAjYo^~febe-9(|1hY
zIsMt`uS`EU{pj?Mrhha2`{_N?FV47T0yEK>%*@ct@JwxH^~|Q3SIwL?bKcB_Gh1ig
zK6BN~duBd3bJNVtGasJ0W9IIe&&}+Z`NGV7GxyItJoD3;U(8I+o<4i=>=m;Uv)9gE
zH~WFvTW4>d{n+fMX78Q-#_Z(mL$eRhetY(j*+*v|n|*Tjm$T2zK0o{W*+0zA&i-+B
zZntN5WOsIV*Y5J}p54{mn|B|#`=s5c?0#bRuXpd<{l`72Jp+5Hd&c)1y61y??%eaq
zJ)hZg@18I1d2r9edmi2M{XNrr_U?J{h1d%%FRXcC?F%1$;X5xp`ofcYt9#Gb`?kH;
z?tS;(_wBuL?}zvP%ib^UePHjydw;n1zxO`1_gDK??OVI=&V6_9`_8@}?0ah8bMy0z
zdY3Az#cD{c{C{<HPnf!7>Ro?hbcYz-9lw5fXJ}`R(H-1*$j*9Wbl<k~Dl@uQn$i96
zt{*HI-9s9q`#MJVyy>ls?whCIIz7SYzT1rM?TqgB>HDT1nEuZ6W7E%0|IhR;M%S6~
z&qQY8jBb_DT`_YMqq}A1?3oJ~-OFbtX0Bm$Kg8(X!sy;L^G}TK=V$I=bRU{|V&>;&
zbkCi=boL#yS2McroxO4P!?Pcq{rK$Nv-dH&|JE4Y?=ZSQV053F-Psu3J&dli+qXNh
zJ8wp}cfsgB!{|P{C-{GBbpOMQ?hvDUSz~l>*n8{Ve`a*Q-Wc6qGP<Mt)*L*#^HcM`
zod4PUkLI6Xod1tL#lB)kF;`4?{;u;^olkXst8=pBsP@a+Lv7EuZEIW8mTvR5-rxF_
z)-Sep7j_mtSGcM0io)TAT4B7<U+62u3W5Be^RxNiOA}%<vERg=iTxt>nb=2T=bMlt
zV}}#o2eboiu~vQyu}mx-OU7ccK+GHS#9T2a`p4*==x?LXMt>ZABKo*e(MO^WMZX!H
z#CLb}6VdI_o1#}ouZmt7oru08x-I(V=$nXn1Mqs_RngP=JuP}_^rYyf=<4Xo=pm8G
z$d@8tjNBW!C-Q~Jj>zXCpN)Jb^6ALkk-H+FjC?$@9l_~ikvk)IL~f7V7P&QYOXOxk
zZj9W(?{$%PMXrfl9k~ksMC6>vS&=g$r-z>k{}878gYdVcSMmw353dN1hlj&`;YzqO
zoC_zziO{al??S%`JrVk0=+mLQLPv#)q0Ue|_>JHPgKr655PU=Mb-{CjTY^Ugj|?6b
zToGIn90+y?%Yh#Teh|1Mur;tbaCl%@VA$|$TZz)o{Xh8Lt-qjm=-c!y`p!l%|A&q~
zQ6G135$utdNr)Z?-UFap;FnSPM<1PPreHPxTOU>^C9BjDNuW!AE7{)&M>=@P=SlM{
zr8Ym0H9ZY?(ztJ8jXR$;@c+w?X8CrpPJ5JBB~*(_s+3BrjLNDU8i#^vRc)$Wb*N5N
zgnyUd;N7gzz349%sXn-QzZy`3YKdCP8hnkqUfrpFs(m`DTXehr7ZsMKhs@aEky+W*
z0FeU9Ko5Y>KuL<S6zx!~5DFPUBm%`+p^yd?ZBwio7BaZ6Za^0I>;~j;1zQ4n;G6~&
za9`U1W<2tQg*IIF4hG-{$QTwnaGA{pI&sfyKoM8?h=BCtf(8ghT-X5V(?tyssb^~g
zq@QnWKrgP)ra%RFa|0IPZfgKM3fabj;6^A~KyY+P0|sy}ZNMPzTN@yBdRYUOQbpB*
z;I{Hg3yiX=9B;w+PrwhzY_FVT!T8}s6#(i`Q;dgzjL%fkf}-px@GGE(alxH{8o}LY
zL5<=bXF-kOQqL51sBv8SGIb4p#(U~rz;*bKQ0l2U3yLzHW_AduBbEA9-Gb=0eznDd
z+JyTP3u-e;!I%YgH0}xu>KI(|3#empKWst00{0FJiZ(v8-GTy7zowtRrhf`N{d%hf
zbt3K#;0uJ)hhIMod>j9%O6?2*Vf^s_ozUV=p|w}xGG+oovpX55os5al?9M}gRrsOJ
zops<){LtV|$qxwK?UZyv-{<4L(Sp$3&bI-V6As<&yb2H;(#Bn{vmoQOi?Re{+;?3G
zkWOfA*Yy^JzIJ`kg3#73aIy<r2z~AP0q_L=%W$8vpx&<3G~+Iy-hm6f3JCp7L!$yh
zGt-Q#fSSOikJBshQ~xyME+9LCY49bWuEwSR0`LnpP5Y;%&Gcvb4Hk?aTujqf^)6ic
zISnq<dvV`n0nVeQ>D%-+!rzDcR)F@Z58zG!)UR&Fm2w4Fx8lAVAg#I$_a+PKqqy=6
zz{}M1?SSCqW4Q7RsE^}r2R@7c6S(&QU%~%*+y{UM@k?L613Zdf;vWNkgr9WN&jP=}
z|F5|J1N<KUw{Uj>d+<Mm`=SMSv6^uJaHc44#t#JWQ|?Rzh~obqZXC$qr=FQ13&I;_
zs=zSe)IC$PpqMK&D}dF6{}lHqU=#jd;=am)dJ1<7a2DZD<3fWojDcv}XD$F_ENJ`8
zRtxG6xX|Ow+X>%=I{{pUe-;;f&%6i!3%Jmmfbjg84*}p^{RNk?5s)3@%q;-4sOE9O
zy?};4&)fyvjUQah{1fmw{LuEy4h!0c`+49CgbSYT0l>Wu;@)pT$8f>#%)^Aoai0Ld
zfrh4Meh&Nse;#+rf^MY?r(4i%xaR^FlZN)pg5TLI@b}}s1DL=MzGtE7*=zBS;9h4z
zB$L_q0??yo9A<9>ZpFV6m%h&4j{h*+j{+aVzaAGloBb624Y>4s_Fnvq(=2_O{RaM1
za3?Kj#%K250Q#n1gG>Je<P2f<+ZJT3XCJYkUxy1l%|b_7`t+Cu%^1)A0C<w{^KqdG
z0euNBG%@=Oe(Cp4;CcL)<Nn@)mVQGA0y1}I8G8YJ4elP`kNCmM?3@MNqSS8aU^inZ
zQrm9EZ#Oip-;bLBviNVtWjuCw;r|G3*@C_cx5t8x;`RdIUf+$o*@6aNyN|P=zleL1
z1r7dogF6BJCEO=0=r7~azumtk{42QhQNWb{EPiSKSC!fWJ?%;12X}i0EFd|lJ=8CN
z45juk-U1@G>^ane(Dt4WTF^hj1xEs+yWR6i3;HLxpRu4BuRZiZK>rMvwhCy*X3v8b
z^v`i0wxEB3D{TTaW47n}7W5SEv<1x=?%8WWbb5PUw4i^*^o&{1;NS)NBcQ>>3u`QB
zaPh)g3mSa90Idp$F8_u90H7xgUweW21@!N5X{&&KUa7r90Qk}HjlE}B(9p`>%Ye5L
zz6<wS3wj3k-4--7wD)}$^lsc6fE!7_2lrOs!}#gb-hT%E1wVb-%Xkauzu<lycmV$#
zF1Qka?9|>LS`a1f-v72B2LyY;-CpqIxNyOXfa6ta-zcyOKXkeeoa_S^P6C%P6mZhG
zcUy2WxZp#;$>RRNf|J9gYyl^a3+@D*g3`P1HDEPnw2#lHXf>4PEF<t5m}3zjwdXYe
z81>?M!J2Oey0kg~b^_!Hx{<mC2oIA#d_6$A2v~?d#-8_BrQ*cLuY*9tz)c(*_yOXR
zl#`rfQC|r>iVBcA(;rbPL%Pfk)Q&^IpE*X^j*v}R1)d9^;Yf@4R?@Zc+(uk`T&WH?
zMdvQ1ij>#2RjCqfDcy(q?{Nfw;wp=PA1k$J!fpVTZc%FKZUjuqsMdi;5GwCMn8ZJF
zy;7qOC^ZJuu2X8+q*5!|0Ng`zO0C+a)Eb`aCo8p<zO8*usl!eOD1Y7aO09oJsf`l|
zk>@M5iSjoQzWH*cj=n~zSA0aN<BnJA<olF5jj~SPpwt;V5Z*QcpHXVdBWye#LV$Y=
z!R<A`J~j=+T|k-(w<GXV&PCMsrcnf}lM&)m2<|I^=MmcPN1&pOm(q{7QtoBceK~QL
z6L$r5zvFxaCDL5^XQi$p?CP5kewHb9?QOt5rQW#}coe~h@~``hQtzgY_b7lm-y2uz
z`uh-g@V_7b`$_wOFhJTH?osMS+HoUw-$EO2b1U`X0i|v)0+f5lr<D50^)Tuo;C=+0
zN0i!5-#)$!q2@_QkGk$6{av>yb$7Q?pMFTGe_Eu}XNmuu8=%}B*C6yz_B|5_JmmS}
zGYC6BR_e>t`xV-9KW+Hxb4q>fc%>fLrPMbl>p}8N68BB~4|OZWWK`e2PpL<!>p%Pe
zWqcR^qn}agKZ^)A8<hI~N`U<Tb-q&n9aiecLrVRGI-ex{&v&yqf1aHKVNccB1w4k3
z@*1U{CI54TJ@=eazj;)t-%{@H3ID?Y0?N5aSHR5UtVElDKf~QmR_aC4{E4>wWt&oS
z&m+sam1f1&aC+@*NAP$Efg=S>DeW6Vu&65?$|)T=okgNe>DWqyin!7(<Vo%TNSE3I
z;7^k`OI)rS0fRE~*C<_hUg<XSw>^SDajw!G$12_F2ev6)Tm<Y^x<sDRlS+3FDcy6v
z(!Dn*UD>7d;>VR9oJ1*cozg=C2p(ajN8L(~DS&k2)HD9P(#t4!`K18<l{YE9>OQ5{
z+@^G$GS;39P{%sb9+3j@ZyZqi$mf*a%=6~$N+10xrH{cq?g6Ebr;jHrQ~IQ>N}s$5
z0fgsMDEIU!rO$Xs=`%Mdz2$nP&$?gfv(HBmA>TQa`C6V|_hST&<CT5`Y0f_u;Q4|r
zO22tP>21_;@#Cm%u0zn6M8F{YQtEr_l+tgbZI?fy^c9Pgo;VqJPU$P_N?(-&?o;||
z>V0<@cwXuE-lO#Oq<P<M2oW~{yOsXHr5u_Oe(N(z-?0rLqNwzp>j2VkcPssI>ih(0
z|B2_%(XSmFl>YqjO8+x;+@k>U-^=rTr2SF~ApKW}yZ;7&wtSU5U!%OQJ*M;n<oyQi
zesGJ@leiDXmHzi@l>Rp5e0!VHk5JZk&Q<z*14@5?k<yT={;wh6&r1K0_{V>&^b<Rj
z{?Rgk_Wa~}rGNSmi~lGv$-+<k&jA)F{WR@)dLIik<?mbxe1wIVGJZ>)&r`<#+{c32
z223eEb3Q9ePU#m&x0mogQr;gw1w5(rpKfB2B!2EDPL?*X=v~8N_Z*Adxyr#F$B7aa
zy$!&h*u^3TWHu=$H^~C#XW@DbgO;tzX)7wH^GW5DA5~6w9QcfKdX802FZrQaXVK}(
zS=_Che)0^Qtehn~l(Y1H<qT1F^~cH?8BoqB<&F_QzDzl_Ei8N6m9zXl<s3rVRg|%s
zv}^DmO8jBKx^2o?PuStlE6jJ4bJPGp{ATJtmimqhE9Ydla$fz2a$d7RIp>Tj=iD~s
zoJSnA=e+TJ<-BQ=a^6gxZ+=uc+diV4i+`+~OUQTWO66Qe-pi=}@*;4(a;_Kv_9<rq
z_e$d51Fk;wymD?IQqCQe{gKC&^J)70Y1$3_IRCsuIrmWSy~M*Co%<eA&X=kCE1yx$
zS84y(&R5RY$@7hravmi7LCTsW?Za{9Kr_y_A5qRDo0RjN`<3%u()}lOevjwJb|~k+
zb}8raPbue#dzACvmn-K->y-23$CUHaN0l?xrktn3%6WQ9InSJ{oL>{Z^Lphxdz*58
zGpd~5-lUx0QReeJ|2{4@R?5S6Yf?|>Ni+u$cJ!^Hsj1a`wMsRS9Vw4gs=ivbl1<>0
zN6Oi1t!KPet&Z2as+nwtV6V^X>#FuvdMk<gseCG5{Nfi+J!Rq)J|lQfIdyKQjzm+s
zn2JWU_~xd>x8j|A=62&u;?ZGo;`@_qY5Meb#mB*_YD#V9A&n+dB}XgOYHzvZ^QIHk
zR5mj*TpJ%txW;Saw1W1~u6iI4jRyG0Z!sGV2E$qVt0!#uyt1xVb6a#Wl}c*+Yw80h
zztEHV<7fikOnsSbwVLtysw34JJs+oh`!t-*q*Fd`xm=aFg-^7Cw)EC&Rf${pRI2oj
zjn>9Tq^xpv;ggh{_0@bP=1WnZPY2Hoxq_hxUMH}^Hg|ox={XSf4^w&5>GYZDGxc^U
z?U40SwDDQ=OjzeYFh0NYHxg{0;3GKFDhS<-LN{**L&Jihbh<h`GE~h}vqBrtg|||v
z_KGVQ%Vw*?hGrUZgr}>5J;A|Pb*MZ9J{VWQ8<=b0Ihzrm31iT!Lkr`H8LJ8|w}TtU
zrH3NY?ocqgbf}|EyWCDFS9R%3HkZmo!(MNqC7;UKzB1PNLOSemd%WRLB#}<XtF3v*
zak+x|sw<NtLnPw!B$N46mJE85pKk4!q9crj-xmqTV;-+B7S<lWKO8Nz7Tc4_px@PH
z2dV7x`2yZ>I1+YyJU*}2<qd^e;*uexz2ue*Z6-sR3`Xvs-^(0)x1sN)Aa{JMS{<zj
zjq9p6ZE0NlzzbLdfAm}*^l(Wa5R62EbF@@kUEixai^Wde_(if<@U&5q1OjuD*46bu
zce14=*=>L4)xsyG=jZ09^i|BgBNvP_^T5mkFSBCdXfGU5=)N(MwJLPb7}IRkj@cwV
z-x`X9eLj~f{H8aDTrRIa90_f;19TC%voUW9yTE26MsFwjy2B(3S^ewQ6A_lIhrP>U
z{#|PualZ8u7n00}T_;G^Dn7qU-=l93&9y$jLDDh{;Ut3Nkt*$P@RKo_(eM=+g>rRF
zE8DOeY&|y|{G_+OY;YryY&yYV-S97@(4^&{GAGi8e}bFJSk3FJ@{~4n1e%AoC0sd!
zgX`7}4mwSDdtYm-)~&65O;@XC^u&J87D+JCOkq4SXU$kDbSQnag3=ki#_WVsB^F}B
z@KoFP#C9D|#J7YTm(L#whnLiCU$<<rZe33#p}M-nNt({NCvCs&uihf{{;AP_<nm-m
zYBjTdlv>AYf(NhRu1yYV))Nya82CUb*I_BOvw!94MSYI$d-oS@-Sa9P@J0VMt93S8
z(pz$!mi#*wYo~9~>XrT1HQJC&#vja;O4+P#;6TP=9c>wvwTyA64W<RQEnc7D%)-5d
z`_Mk2@e$$uHEB`VP;--i3uWx09kFXND|#zhS9(_*Q!KQ`9FN-_=HqiB?Z<ScQd*}{
zo#&c_chY>b5b0z(cB$l$oQZh5WbjEocitp7*(42h2p<0o9w+oC<kTcNE~}v72(Bs|
z_U}<|gO{)lFvhiSNCk|RcfuD4CZ;ToiWZ|q`}BqL^qVAwq@3FokHwC)(Z|~8<}7%+
zNmGJPG$T;<!Rw&GETj96G0G}Xt95zv!WXFIuJoIl$b4mIE+6qUk?9WQU)e<FZLwg$
z>C*4aIks6_o0yDa575M<KfNE5p>Pbz9(kfMA3x4X<m!VkDf1zfPNj!fX@nM<BVNm<
z%<MFDYgcgA9q1Ja;JJX-tgGR`jXnD(sk6Ahz9tumWU~2umc`_NPoF1ACCiTf<yvc}
zIcL`n40?|GT_IyrX9@>=@Gg-@)`8=W{WNRjFCQb{kTjAqduf?aqgE|JzkkXv)CY5X
z=#l;87K_K{CM1j{EUaZT1s|^c{HesOIGaK3HMCWh(phi#O$#>c41g<C#t~D>BNArE
zR%V6ZY6QFu!8zr3Y{)FwW%F<#K{Jyc(%n7d#qpkQt;@M+RG#Yc6piM}dLkZ=x3;us
z-O|!pZ+hazV$-|dqiqRf9_wylT{Y!N!L5as?y(8U-^?R!{iOj-dibT`&jqy%45vhz
zvFm_c0nAD)Sjbw$NLQsFsk9fiK?L20eCr2>`GD`_L;Dx+rwdp2jRBUWpw|AnRtJXo
zfN#5JaA0kdCfx4Y;vFOoNT#C<9n7&7UnO*)Gln8PRgd9b(uf}T!Fa95tj+ogGk0Iq
z-mu&4@j(f5lL@U8x-Jt#Unsv<UoGJhzdeXJvR!gme8g3qwX%*p(hojLQj=LByY{b%
zUFnw%9kSC`Hx`Gv?Js>s+E^f(PcD2gycvs7+rOmOjDqx!zJctF^bGz>FQH18G*<iO
z{@CoEu1ojkCjUYA9OQs0Xm2|f25cQ0Yq8~1vKq^9E|dc78a0lDDkN-YL{ml}^MNhL
zu|ipvEZh1k44G^_LW|pC@%?me!;U>@JF=gU-KAt(VMsUd74f&Ww6%4)o8)YR=Oz!@
zst6yO<PyrHI#!(lMOX<!2(!78N}KJ>v;=!V;_&*KF>pEIWULJf`z^6hyP#T7kHD#p
z8y|O^@$utqTQ)3TQ7UO&Dy>+)q2Wj77;NhvX|}n)=#SX6{7T09L1O5H1WB0|EeDlk
zN-Y}srK?K|0!^V=KWUF`E>)6u@*rUq;&qU5eqrR*F13j9l^vl=_F#sB#*r#Uti(!}
z##!NANw&4MYW5d_blQLEBDMr@#;~{Z;i3mO0+lVgbny*0+^}JTzFzi-b5mO+o;efQ
zv`M0o^TS(oac=kLKQD9V059#tHbz#Lrd($wyM;Vda9qw(zX+Q$Y!JHdV8%LDZ*s2*
z!9XI>)^5<T#eAA^JWMqG6MDN);`Z$(0L+!!+Y_ZB$vwHB9qwm?6Vhfq|3@QNY*$F9
zx|eNOQzAwJHnh>$r&$?(L5SX1UAeNlbgBFzqXmM&btj&<ZXgzo#s<U}3<hL7A}Q*1
zeyx0V=%Itl`3$UG8w|@%MA~52WEzhKLU@jqku6#*Vnl`zj3rok$_X$gTv!5>^moge
z;gR+ZtvlLBhSzM7zHb*4H94s^K{mFLl1#cjH`$b{1rPhzL3AL0HEs)b162Mup6bnE
zn6i{V)nI_zo6ieJ#}fX;L5|?!KsyExYDbgryku{(ur;QBTj1ZQdD1p)`%7xIbxwl+
z75nQHk`yE_)KkDIAX3Xc4&p2l%3w@2F@8vYfA|Vp*9|F__rU7ar!E|$lUK>YCIm3B
zMsI13g6=Lavn`88vnMZK;Vc|7rzX@S*%r~<CZ2?5hB;SCk2N;R!mQb3+C>|-*0td2
zfWm03+I8?+G_P#M_E)P(J_irt#DsmGYq*p9+fb(s>?;?nlp_c2rw*)}Wx^LwPtlgx
z+)Qb8@H2h0&5@n`0gYC(;Rn^f7=&0ojMd7?)UbPP%iWu!nJ_vNEj2f>-so~;Q^}L5
zc7FfHve8P*kV$2lY4QIHy_UYq;llx)g%5svU;q*att+rvVRa4eThldo1~hQTl7;;{
z^jgscu$%N>|8D&T!z6;+mwwgaW^Ui5)^pxrlOdOb0wxmr?)yLm^QH(Nld%vvxrvK~
zI}(wQZU5_(F=@-0vX1HVTm#>Ng9*YLb8%9CN_b;(oSmT6eLzSJ-4&`)v!6v_x*%-4
zmd!-(x+|K=G(>@GgNa1&+6JaG`eUA!efwHG{%n(&bmoz0^pUyWHX1XL^_#k%L>~GS
zwwF@3rUub>$#|MEu1Ls%c8u53>6rF4>PV$ybAN35^_|}M+(UYiEq!hx<M+n&s<|IG
zYs>h-pXI@m;IAMfYN;8i7ryfnX_%EtlogHbkP-bG+o9}Ke@_p>M5d>w|A22ww|9(=
z9dgLnXb0=pLjM+0_AXxBYx6XG+gFW@bar%fj*P52;A^%|#<vs8(}ULt;Ynqow8p5w
z0z`e?TqB6G%S4ksZLyfCvqm)4BwOqv(VP@pEN&*ICY#!p$p()8Re#gaSRGAy#z?8-
zsLK!N3hc5ZEkfrf)9@fh3GSEz4R%?nOLYU~4SuadvVtDbshbVZ`LT5iIi~eHV?)if
zOD3f^I(1@*j1qXl;##wR-#|7qYvIBYPF%HI>L6*5eU2G#JAeDtA>i|Xq_S|OSvX(!
zqw}Rw%Yt?1%-5O8%gj7}Q9h@gMSZKbnolX4(Wqlfb_tx^-oWn%o0Is`M0a_~s=h_e
z)OJZG$(hsWJbujH_cLOxOAD<onccbBeL|N8k?b^$YyhgufN&RRmU$vy!)s&^&>l;y
zd}~>Bk~Wn|(-@B4N{!jv>pQ!{%?2aVzRc12)<QNHjd-IgYU`7^e9Gf?bi^n|LJ=SP
z_*60#Szi3>^u?m&2&FUOh|lYCheDBHDi!p2mKXI&k=9fo7-)$ySA(&5dq;OYmkGQ4
z=$5tipxTu3QE1a!#~=Nx#2!zb!wl_ln^L887s~F=PCs@$4SvPCAy(EeS&y2d`f@AK
zgq;t<^YCrozwR_fNjK)pg7R5!8a#HP&a%m$7HBpN&ni-IQ;xS)EfD`rZBxyC!<22q
zRCB)}&t`8ZdgxCW-ac+-U9y^Nj-k<n^j2JE7N$f(zv}9y0KZ*Cdp5V8i2kVj&V5@i
zM{@T_{M>{H^?CxY$JXJjr4GYg7Sxf+zN9Yb$W;~XOQ}(38fCNR!V~=2tp9`y%^0Gx
zx*?Fs`d;x0e<l;Sf%+o)PWhetsqU7UF!!YH6~&gMo|{NJX`P+>jW`ohmW<{6{QNKV
zm7GI~&ia79&u8`NLbI$#3->k)=W0#ARVKRdhIhS71g8*MhYx(9$vjM$(L{XU1EQ3&
z9OM(9kW{1&eQrmSRebW3qOXt=c6@HZIP@_7Mjg^<$HLtsYoyFFVrc6MQ4I&-2e;dS
zzg<q3*jxEI`1_EAOZ<;+v7>&=k0eG?Jn#T0pgz$ZUkg3=QlHh=THTixIf|7~IKI^w
z>xDY7dMe-#&;9Ptw%EBzdDLlnw3^pMGCubu+aR4t#`Grq)aR)1{6l)Let@0a+o^G=
zTJ@M-Rx;V4bd!6GvPS~@_M1&*QzMy?VKlIImn}Vqt5~&=<wo!z(VOl6)`ZvcR2yoR
zBCgT0S(#h#H(I@lc^8RBQtogfp3G-CK`p1#-h385f$C6xbgr<pQ1A!iv6ca!zpZuE
zV4>Be<FOGR;~feiGeQGyx6AMEP5a2=cIikc5>Eu&JQTZXwRNW-wl?PT^IRWHC0cxo
zi@GzDNwt<Uj!u`@;)k@uhnnzYvT;AGDL**a+oN4=ZJn-`q{G7H(O!>_QKKry>F7un
zLg`e1Oo31&pYKI~>|0l>6}z;veA&rk<+7jS6p_`OMT~10yUA{~L7j<B`-Hkd-3r#h
zh2h(RFBi-BShdVn4~&^L-pJ3j>{xnCPHaXj=jW70{IXZHKDawo+0C`+y(PBca-dz2
zgISc}1ZFE;U0n&b3GC?_XN`%*7E@Lb+EPxMbJ@z<i_uUf+tKczq)aV3hR<!9B|aMU
zc|H0+vL$bOM}Pm|nbAcWN$bq>1_$nDn_DY(bd-+tcsw1RTwAeiVs5t%3tU#Oi+Xds
zcHUk-=dD_$^&u;^9`E=2<38Q$w0C4Pp=f8Ct<&6}-giXQ<JL>up4gJpPCIS=>aMPE
z_?1ropuSrV4jy${HkgfM5`0cO?U}jyiscvfkB;>AICCfHTZXHzJ7;862MT;-J~?Pe
zru2j0y-gj?uIYfRBI_U+Fu%|$xTw%;BdS!e0+7=@v?oT+8L5dBj2xOpng>Td{edOg
zS+n}gGgq&1#O>?#xZ8(WDdDc^!&j_Wk>)(seaImYqE4@HX~(@G#{%Z$Hju`3;@HL$
zSFCWH6)R3W2{)?Uy<x)hot?Q`1_lP!yIqdc*T?y+d;I{XD$Y8$d!6Gpcb1I|GsRi`
zcBqJ*D~1a`vnXJo(3qY+Z8ViuU|l%duv=ifYolZKTjYa2t7}9bal~PVRY!Wdd-Qgv
zr+c737xD)};Z$)^BGFRF$MwdMu99wFxpJl6Fw6wW4h$|oWO(=xeRVqB(>q*f>u7CF
z7noDQmX;K1tzlPn=+Js~2-Oh$Omud%cT%l|&LPAMEYb^t1-WCOISp#ZP~n1j_O22m
zN34Q)NhcdR*?^=88zU^e``BZTb-T~>xVO07$3A+r<2jSLc<j-SK6>=AUd@AZ^rQMU
zOO`BgyO%l6GPirl>6iRr$r)Z}nd8~&(My+Ha><gV8ZQCfGnV|}lGACU)nN%vTewe!
zHFJ-gL^sc&&6#MW2Wso8CR}EMp%#?`y@L)$#;P^lABtef5s9SIk*L=jntMV|ZX6pM
z)A2>EnRGZ53a2xLcr+4T_9ZWgGLdLBD#700&DHg!f%oQGqnx6&wPmsq*2?hFqM-H~
zJ&m+4tWHBNyqen^4>9%)9iKGBXEZ~-zEWAfy$6OJCN2j&e631Q1VmWPFzkDHBqI#K
zek+zJgbfR$_B8}{iOfpbHkHZUpfgdMRfv-0miQ7zsb{Gy;qsP25@?b=C^jHifrzZc
zEMgwXIwmVw%J;3Db`{zR_V)w+P!y39`Ofip)45zU<oCNh!u638-TuEHdsvV5^etXw
zf7?C6!qHZGydIZJ@{7>u@_KF-<=Nb1Q*EV<Ab(n0B`ORfT4^h2T{!sZ`9x<&G#pQK
zbn?6YrR~Y3q-2__Q!m@zTzX+|23wab%_Q^o*Wu+$UNoz$Y!2)aUO`J8_o>acEo|l7
z&;Gh$ZIx_)f3|`Rl<J({r=Q}jP&v7SW=^^pq?gD_<17MM<oyGZilh)?V2mqoj-*mC
z*4yCery~(XW2sd5O1Jx0r}IG?itrqnaJ#Pzr&4iJh4i+#<3z(PiP+n&h$ULWQOAjY
z-sivOiYu;oTl0B`&-aC9Drnd<|A_uN_X;v<6}A;8srSpuhh+lfYIZ3JCOw2^zVZX{
z3{{4VP}SsYh(6})K@C8xj|Y)UgoHD`%CIb5eB}{&M9#F#xfVe}gF}>0Z)J--)~H8%
z4kh}kjcT$Wf+UoquW`F$ahCd!@9o;}4?>9gY?mkACS(<E>Fr2+23<kfvv_F*B)Zgb
zMVE!6;jlm93kIE{&le12{h5?6oo-+1${-RrPD@K?PcjwKu~;I=aLd$pT)FIUDj1B1
zg7FNbex~+|HBvCDPZp{T2K{r#bh^gJH*6TMxk~{*CN2@}EG?HK#(c*+(7$Zi;>E5}
z{bhHH8w%<GMfq&q?FqD1eBNSb(e?9aC=iRac4soKaM&3@JEMJGZ#u-LHPh49=Fu)k
zFLxmw1p}T>q;l>MqN^Lzdg0wpUB7j|om>ekiXl})$G;v9X@wL-lJrP*tRb>^Y@p~N
z5MT~=DmGBG{ltw~NB<l2()i4+63;F2bL)QJfkz4Y?#6RA@R|FcjbGSkKW#W|9Baus
zUzq<Ux3=%c!mkEzG-t6ML+j-xQ83mlKV`ED5@wiL1{xTXr4y1vaaz!iva=i+t-t<|
z6`^8n*=AS1kk7g9@gPkvm-Vu%Yi#Yhb-n#-)(ltOdc~9RwaaVm?XG(Ll%eh(H(V;4
z8EtDxMhi=puCEO(&18bX?CaZo{#<SiQxjf3zelZcCiJ1)CO(dvzL#>-?>5?N5J@xa
zx<d0I%@J5HTX<={mlaSblTZX}vp!{wL?VkOQ)T~ZWhF$>Mp71?GRAkq9OpBktW0RN
z>BD0bMW0E9xerpIh<+)gi5dv1ASud53)8$eEO#ej7>vas8ecq~&L%qA`#SS^6n)Wr
zzO%oz1G%~sE0hxHa1v#8G@Xxf9Foq(bS9SM8a|UJ5KD!^uS#Us<SMy1R2|b;j|Zcb
z3Wp&&u&=wjTlW-3+jGbKrmwFr9Y+6|Ov8V|I?>stWAWCZA>A4$Q@(vT6mm!Nkwm~B
z!F(!|N<zdf$K<1@gdplb2s5-;=>74pZ<1Q#nM{05;80^AmJ~jAY5jgf*Y*sNsdj_D
z1A+2>{qOpRPS8m^CFmL!**j*LWTiR^8jZhPsg__)){nx(`jBMAhwx~8q_;j&_ZnYG
z<QxVENk+mLM<0Bv;fL+8Ci_fyI$Is$Y~A=_%I4^YF&E!ZnLNgy@(qzkXd#Q*4<Cw3
zk(%%^c7(B{8vlqjJ+yvddd7zwB|elQ#y3Qr*3WWG4ycRp;p`A2&*l#QxP(G)gtBZK
zKbRSXfm**Pl#GvFiVtDh_(l<z8-Bs02{lq2#$`T1l@K{yH7M$>KzbZtj6!y@IT12!
zen;pmI1_E6Fmfh>cxBI1flh6~c8}9rtB7zRsU%UBXj>H6Drb$T#!^BKD<+w_U>a{a
zD)kA9=nSnWF{5OmX;fv(qlEp%>%U}BawlQW?wpP}tk~Et=^%SXcfoPIhy!kHE7^Fu
zv&aSTWF&w9qKGTuaz!1t+ljjHvh1@{b(}OlkK@XcoTof8fcD}dzBsJAI?ukqiRm0d
zf-9*rF4xP~?4ibkYDTt@nq{^62X#~HODZq0r+t~q({A@I5x2jmZ&9xwKIbj^{U3I@
z2KA6T81!lfA;|9w9^()2R)i=LL{vZJ7>|xPC$rU{S1xa1Ea=7z)fd%HG~(Pr2iLgZ
z0ccx-??@2tXK@T8e{e{GPRRZ3{?$2bR^6?AU0vxGcc_f+3hPM!$9VAqQV7NWdw^BX
z&EbWPK8!TIAF~cv|9gm~kN*q2GLnqZL5OV(DJ%a!z^m(jkJj}6j+z+Emm{Yuok%&+
zQbsE(>Q!glrOR$NCoPE})&ocot;l9z%88g!!T&`;6moIw(sEC?XkJZB9yaWDhrs9Y
z!7OrzMgi6WfAyl9S{lx~-Fbg5+p{R_#Zt+|8)Q6suNg%!f4kr3H>1w_Ci?5In*E-f
zQI;xpE_o}=cDspSArnT}IAxJp%n8*9tjNe}yzFaTt-TF<s-be1*OSW+436Y78989j
zW^&nR^kgU0-`V~9%Dtm~eaS>PT&WCKmkeez-cxBqDwWHolPG5V*fQ%gLZOlN6dTY3
z=R8p?e9XzIoRKz`$}zTd=t^V*_P)F2^V1jkTye$2SIBxzUR7tkz7QM4*V^^LG6Tce
z;El3x5>^JEu=_3}g^KFA%UFULPD<x%Fn-~E@ETYpQl}Tj4ju>-eVVl+gKZkwRNwaO
zv(L)p)$ZS9l1YCwv2yjH^;}Cjoow;>J&Rh|4QQACoLjrR!9em2=)-lu8w|D#lgDw7
zq?1Wec-`aD9^H*unCwB|Pc8@{U6NuCD|O}zhek9@Z7Somwl4Dd82mIh70%WUN|*>@
zp=8jpXgWX!S0XW9?w0cj<oJ30fSwSm1>M!vMNjQlhLW!+D}`|j-!xwYZ?=RL{q?yc
z^_S<4j6@P$eSIAr&I!v>EiJ*hKl^)5iKf%}Tp^!M!4+TO)q3LSWy^~7ayc5)#Ul#6
zy#vcS(=EwRFrTX|?(B5>IhsU7MW3eF6Q{9zStswMFl%?YB<m_`TVoBY)WlMB7_A2@
z4x&ye?ag{*krzL<k0R!<aGEqSm_DdMitsWflFu&r+RZfpFgtN2xYO^z=oJ)deUa8{
z4L0BL4#Eg%Iv-rScCB*(8P;lzqxCm`@rz$*z5h>!Pk&2(o-`3!|NQ6jM1l_eui}#*
zp+8Zg6rsN@=zH1>&QU}_Ch`?yZTXfx?Cgxjq&XTR=D5_S>&5ntOcrH-IGgEcFV0PF
zHy=IK2w1yxiPl@@CdDwM5!A?G6K-!jamc)6=~~+!ANsUEf_Hm=Mv0hTt9k_a2#pow
z$80tE;otuDx7$#E48G+pZ+Z67=P$na;%%=hKDzvj#~yp^`Ja9N```ahU7;|I?)mF_
zhFgcPX7qaH4gkV}>5^~=OIA&v?Q%^Bi<rg}NH{=zG7%-b8DdH@#EHl(rRqnz5{Xc#
zqjO-xp@+6b99IOI&t*GHj*}^MIu3^dEPcU%pZ!=o8e>@wB@$7N>r(M>$O~N}WX2IO
zTM$pfk(keMi|rIFHso`k-QL;RgYvGc6iu~v9NyjA*%}J<c625)FkuH%J@m!w_0xqy
zI>Av`BH;2QQ^{ny(3MBDPQ>BJ(Uz8gKjsT2<8kfDWLx}l6Toq}%oFgtp?7vR(7e(8
z#W)dOjuqS%@MhVUNL<Evzw(mj8go>TmSA3HvJK^o2w#<?JxP$gu{~!;BP_e&mlU9@
z=rdR3qiCygA35Ot>D<%0WA5p$oLHmhx^zd=x27don0vY)S1by;1NVvpnLhdINHhy~
z`3No>h{#!z^`(W(-MAn#g~S_)*^`Fp|9#NjV%}SGI`2KYkaq!H!@EyzlXsQW%(MUr
z6(mVPhKSS5WRd4Ywlg;VV@ABqicF4)qip+FiqfLyg*_igDBN94Ah~7LTM?5$2v2rj
z$d=6z6Ksz;d^Sv&{sQm*EJ*e??+%ya3Tx-$qdcCB$MYI~UGP}fHmz@UTt{k8EDF~>
z(m`DGoP)UJoC6OJ^dQBh1?o-DnwNOk_B7(~t+tUqZ}1z<WKH)+E-vJ--Cy6&^6$bd
zdWGYCv)4hP;BudEn7&c>zY`s*(MP?rp9Q7hajnpLh09am5N*IVA}u>5Tj23cPa`DY
z^Xf)ez~}3>vG|T_rrXf;K+A6IQXkXYP=Turt5f8iQ4M=e(dd|23#R33_(8?hD~d*T
zvo$ov!m{~hvo!>LM%~PAPP>IS2zOw!B4>u=7Tb}mF9~xpBms-4FzyfoV}h1P9X38L
zyZT~reEhJ5{&z0QWCO2@dICptJS<D9FCKHe0VfvsF($}<8#|URT{hIexcIFS6D;6~
zPJ5k|t4_m;_^-;c<<6bmF*rEZ)!7nq<e=N@_8pC!!ouu{MllIxWkyly^1GA$`9d<)
z-81*KKmF-XKDU>&+6fi&`O{aeh6(t<-MOp>S<Z#4tb1qhHl+8e4?_J+TTn#DW&bWl
zpH;J=%Hn5Zh04|Lj%4#?wF2p3wpDf!5v*CffqlWIs10h8#fnK~h@BXdrom_`)+C~#
z3TLv2IOQG5pt2v4HG!k2dwY6%+S_{vds{oo?YgadX-7hAmeC-{*-d+km)%`U%7gX{
z4*01^z75@Zv^5tg6+7bG+0%YsEFozU56DqPEL*@9j^l?`T?+K_Isf8|Keuh$Ti!Cz
zlIZA2wAkNs!{Jyw6h=uGipQ||<{C;eRe+)BmerqotqyUMO_swL99_S*h0~_&ro%gQ
z_n{|oyes^568odc{W>qKf`r8We{?t0rAFX^-)pSDMcz?iRB1k|d#fbSBgx4LIyQ8q
zVtkeuc_kmc@i;!0zxDY4{9bYE(nAkjs*ip0$tO2%d~)vAx4lijo>yu>SDT=#H*n*0
zkXr$#^7gGudArkZ!9d9;tWa#hg+W?bNsJCHM`dj-`+6C6ISlst8eC68Yp4fhZVGi-
z`v|k93m<OGS<*vRM(4GEvRYm$#M)C5GnX+liEE<1r7)xFvg{#4t-Z|R6#W(A6~ZK>
zQX2EY%*%4iQY1Lrc59y}GM_hHHRqyDpS?+BvR6*zw9D7dxv|UD4zF&>whCRfMiaqc
zqRr)M`w04MS)Dz;B>}lpinLH}g)Bp%w)Rq2ds`?J2(}i=C+b4JQYo-`%oi$^d_fPR
zkcvxQbYB^c-{W3Sz~#-gb;M%2C7I;tIhEnq!|enKEqBHfI+;xBEiPI9Q_KWkiiLs(
zI59x`V!FSDGw2snt0nGUTFPGlaiY7FN}jL7{VX!YF6R*Hq+XxLbL!yWphql8gF(-r
zlTMXNokdh^>0)Q8luA42<+vyl%VpWx#j^>UE3P{oG}$h1%;%0qBgq0h$_WIu6Gq~7
zq|`WPSgqVh(yI`Sq9gvSPj|>Z!{zFrIaz<b&*S3g3Z6CpBLB@`LT^KVyp~%Cug22g
zc7-xd<T8=N%}J|hcE*joZSTfHH7wFXG1k&Rr1RvEk#S_RB;<&OQWVPEOhY3oK_%>B
zIPgM=C1oX1;K_lVBrJ(lAG@q(9bz4&O<Xg_fjm-{hiN~KP|&Q%-jR}hn$XnK;Na#U
zOuW^XznP1-+O2Oc6<UL>fp`n2<u`kD=oMh8&!aOVuOA&9?Hthq+STWAPID7>`q$BO
zdW?#NB-Yh63Dc*Wc<q|o7nI?0Ev9gSoRw6FCiS&BbO3$eIGye~w=I`rf7pjuI>Lb9
zeZ}`KyW8!V`vf~f8uThX_ZW$76sO6g7}f3rvF@9xk#tgm3)W}%RJ%wxi8bVAb+)``
zky|%*=Gr^&GRb9}5SL_yFel=&yqGD<WEPcihQ*g@h>eQOFvBq#V&@oAttrhcL2|S!
z`Knm9Eey4cpsIh9cbG<t=I&p_1QK6+p0yaeosB0SB@Qx)Ki|G6U(vxpbZ#<=VLitt
zbzD8Sk2O0Gh(*yOVMZMMSMwN+LB6EHMC9bw%6DwBh5m;tt$AI*?hJLw`t<=+%Ta$p
z=MRsGWmxQ6Ql8}cR(~MMeP=1~WgOWR!$04pH^4dHz}p1hqdtjjZrB@iEDBw3#jq=(
zL$iN@w}H)}F{oDfp~0(hC0_DCdjiakij-jTOF9$pDallkEvjr*%N5_k=Ty1OQf-;v
zsM+ZHdPZe?)zDNJHcV0Ix5xAi9uG%9n03f;X`rJ}42N2}&{=A|G9WrM6q4uoV#V4}
zUysi}*fHS8BBsA9>-PkT%a-((Jf6<d_&{$y<nqpKhc{_wt43mZ<5J^)KT_;XM{(;9
z>RW?SRPXV$v}6ZD9Ofnp`5xyl%n~>nx&|+7rX}5*ibP!Q99mM4&OXfRc2cSSK(LS>
zT+RI&N4KWhL%~76ueH!Wx@aI6EX3P5bwMC=h-}Bzeuw+QJUM=@({a8Q3V8y9Es40F
z!+8u<*j3AU|2MU~*I({?odzEom;C_<6I7PiHwfx#H7`ElPnN#3hQG)$qof^gpkGAE
z6m&0KOi~+VKcj7D2!hv4Ftj<-89OV7b;qlN9obFkP;gVGGx%x=I4jnf*?dbnz9}4w
zhBwDDJ%?m6hxBA(o5QhKXj430T#?PLDBckWY)<R5GMQIrHXZ5rZ_b>R&7PInyeYO>
zIQr(;3MpzuY;!2IDW>g%>Eoo)!$pu3#g-d#6A{hs07W{KRkZmEf)O@4LXKUeK#l(R
z^K%of!NFR-HaOt=y!p|!!9myD#Pi&$8Sn0PCY|o?aRF|W@H-*=16^6;epcSpC@XDq
z=LHV!j!ZD*@fzcSCJzw|mdoYqdWMF2u4}q1ouyKqPpMRZ(WMWHB+-qz+<^pkOn=83
za|>@|JxXqe^_Uy1as(#h(wIZcDCUs}z;?#T?m&Ek3iwt}uWT}8uJI*=7?FdkS-Zn1
z5hi1wsa2hc_O`LXQfZ**V^`1VF1C2(-dabe&gJ_0#(H>YEfy=oeSNfj?qgi(&2<(E
zBy)za6|W>(I(83X+*TS}IuwodE>5M>SFNus(w&`0jdA4cZEbCJPUKjzQaNnnnl+UQ
z{C=pCN1o{IS-pDG+m|FD?T(J2p|K;eQA@AJV0-C*Ivcjs*SL;O=U1=K<`@d(S?-2C
z=v)Pz_o6LW$Gc&%cF|_!g&JfZ1;K+5kr*waWOpR?L{%3mB{9Q+Du@)@&q@zVqD&Dq
zO*Lc4BN=O=dopIIB=_mXVed7reiwHf*019<5brhK@O!T2=B5AYs{@{EbnsQLdexC1
zE%xtV@!^cZyR>Dl59$7+sQCl8E{0%3bC2raonf!f6^pri-te8!_-IJaJy@w!-ga3f
zFRH4-+2r1P!C8wpZ{7_0o$T88Ty)VzIvK#&<Ag1ovF?Koef0a4ypQ$YbzUE$&qPvg
z*t9f^Svd9*eFv)#*q1qORwJPZ=#lNAL5&ej?Oe92-IyRu_L!DpT;|F0bdFC`$eo5y
zoBb0xjJ1oDn8DViYVA2;#MC8%3};f<#?YQoLPke8TI0yK(E_PO%z0Qzd&f$o8Zz1~
z-q#^DORQ-dbBMKA45=Ea%@*0VRpu3`%Ds$JTIw`Xx2z}Zm21>0A(#SHS-FvyWu6!t
z9pP||eYd2bzN%PIa3ChFvmB4(O2a7|dVJbbeH@<6Va%D!mjy!`jy%f<9&ljLFS-mq
zFkg)Y0s<nS2atDJUGgW@SNnY<x$g2}w+m^dQzY(Aln_|Zd0gEhrFM%zLsm+l4Ck}#
z*IO`6W8dER5F-_oQG2J$;+JsqgWG=6vL(C}r?`5}k))xFyhG`nj=2V0ZZAJHgJ(w?
z67Y_Uo*>moX0t3|iN^^SsSiijF6~`IwG}du&Ep=@*LmDkt*a)5?a-QHBf5{|^fP<(
zv1gsNwr-k4_2(GfFIIr2G0sv6$9zPJcDV|tcvh}D>7*lgbwiNF@;papy1IIMi=~X?
z;eZe$`CM<MzrWIp97r2Y8FO<|K)S2c)7w?z^1s28U`#sUnDo6BBt`R)zDe9=>2)hM
zZanO;MJTcjQk}C4EYH{>xt6;4^LRj#Q#i@9a`lNP9dUR{3bh~7zgR6($a-nA+r7Hb
z)zc=ppj20R=tQT?yKP+BbvUyd$F-)=)!mLCB-=Hjd;XVB5gYG{ysKIZbs0J}@{Mq6
zsLaTfR<$OxV;pw0U{;aC(qMxEeMX`(bE3*C(gJJH$duNI&CXXubi>-(fA=e4k;9zP
z@@kdug@bFl_^b(-6cQh}i}=DY+d1O7uHhYAwrtg!Wy=QH*!aK9s}+z0Kehg(B?JB4
z+#rXoVXG%;)~tGIniGZw2Fj!f1rRd)DmMS9o`w(kx#hV`9g5x47WO_ju^QXWGU`OT
zOv#dD#o<gkD-yQhE6q91+_N`Bx$Q3JDw5gLETLjgTE=UF29P%<yYMRLG|L*uGhd3Z
z`Gj>;yDVBIrIiKoRjR+$R<oy%i6?ToMBM)7O5RIdsbs0Nc=6Jui~GAu$&~9-Z>hXw
zNqKIcPN%SNO*{HRhkYbFOXsbvWwylL3<~2E#*q1pxA42JF6^<n0TS?u`5g1p>-EP|
ztv=pS)TK}DN}vg9O~n%kqQPWKg7*q_>CdJdTjKxhZwSpft#iqe#jF>iKPndc7B5-S
z*}+QqgETsN8j;e_zv;sgd-W#hX}(#@6D(z~3x#u8Bui6&qdlIM7*}sPJHp`(_QKg%
zGT4$#(2_tl7ZKY_RBjEKCWZaek@CLu8e2|zd5owR_Jaq-OBt1mJyaAS3UKXDDW*3z
zx|zcyY3ka?wy*|H0D8Op7ANIr0;u!HXL4R`=V=S4GFsu`{`CaEfQhG_B751hfjl?;
zn|GW3TIt`#kP9t|%qp|UT8~R-<STL!Zxd@;AX@84YcYAM4t)c)T4yJ!wXYY0P7W5d
z{pE})FN^s!y5;rjd212M(0jB$l5?EgOWJr2ZDbIc{0E&$SVK~gDQKKfDhnItc|O?+
z^;Rl~)eVUi@!Kxh<81abFpQxpn{!ID`c6ahgl4kl8r;H;n9d!?QH_QiGwa8()bO}!
zhv|%;>rI1jEcjf5S?cz;Vcx`oVl*txgR;NIPGsA*ZMx7}NQ}sK+vyug@SwMGnA9l9
zb^7TPD=Zm$;=OZCnzB6MVtB#_c+>e4{P&G#)r&f)%Ls3FT7w`nfdx?@M64x2OLGH9
zH?gf9mpI<xA`D=-Cc^EAB(01y$|VeAU=<>4h*1mQa>|@bH$@n(c_88m4zVw)RtOd;
z!5D&x4qeVtM2(oO$Y2PhNY1J+3UuTM%rLFQBSlL)ps!Mcdo`tOm{qStQg9D#C0}pN
z#}$&X@p36WGAbL7tm%W4K|@8QiG7+V_eh<}ioh;{k`YCQ5v5QN(Onccw;p=p3H5rL
z+g<1hMp`>{BoYr}s-`to3fzeb<nx?=(r?`n3A2y&<oy0EjHRsi-)C`RWcBGQu*>X9
z1k)LGW&ThindC(qVL9wug`SUdJC9x!3bDJT1W#lcf~gyd4zsdoOfF){?w;<7%Y`+H
zuZ6c8wPv#HL(S_Pj$S?Y&qxFi4=g9l**g-4<9d!NU9J-n30IMqtD$Y^=tMDi3Z;2m
zthopbjweX_M8F^;)a21IwhBv^Y{I~%C+KSl>P#AbMU9+Th6-))QhzMg*2deOTp6q%
z0tvD9$U)Z9(KB%=N^f4jWn^Hm+|w1$X6a}ofF*CbHJ1<4tk2qRYR@XKmlwp*&5-M6
zUpyhg1h3xmdL7-8Sc;^QZC%{o>vEAQ6iv2pN2l>3j78|cu&$=7S73M~b_1?OQmcb5
z0hK#kmpjY6f~g}0hexj9EYzb>V^O-uVYHAxgn|7$Y%N?C9sqfpIV@zAsWlZ*a?-sJ
z?5i2~tB{0N%p|G4n}bImZ>C9bb{S8l+VdUoqos5AEN*=Cu}fj13sSVTmrL>6v)OE0
zJR#QRAxx2CtA{#^dRgNm1&o+jb74D`;w?}rq*9z4{EL3TS?_Fe&T-!8e8~BTbFcHD
z^N{ls=UMim<6}NiUh`%F8Yf>LG7aws9A{Qx;%6oxzMA;PnWEyNJ@aK`Zpf_QP+flI
zZB5L;G@D4spC|0r;N_%V_>pZr2xA{Fv#M0dm{d}xZ2Ei6EIp7uldZuyY9@!2hIJjk
zRy{Bzb}8(TdYSj43qANl3v6%LON`3_8?7CK4IBNwX!l^!459gz9R=DhX;aP1u*!Z#
zST}1?&FdRR;u$yf!uDx_eKwPPM0#gLn@UL-*I3D<=*5mBQ<k>UGFpN7B0k|5?5~EZ
zqm&{c!mox{e23EX0=&bYs=cybv$!4sr-YA^dk8}nN*KfPLsI+Lp@DDocGO|aZ++wN
zJI00f@+A-D(I=^cD)~qc<<!j9Bqfi6KWUA8#TDT!QxjZBdY)@Ar>wz@4Us)yZOHh?
zX;ZJ@Zj6>x$E)Uak6f-^BE0EdhE+Cla=amhdKmyg1r11hE3|Obv=$DHU<r*uH}ZjI
z%y?9xEwjRmfD)Pl94L>HYME@7c?L7Crb#$ntM$m>(PY^Bkk1wcSyK<4@1-B~P+!jN
zPA0X(Cbc!!){dE@_BdRH@$m1)0)7l2ygpwD8%S?Fn?V%xz^U1dz%k)vtir+z+&-6A
z<Ok$LKdg-yOxOIV2R-f}=1AO=;DwR|`^>R*CSC1YETV{%<4eF~@uAMfJTDN^*g!>E
zS~$}2y0~M>7KB3+tQB?0tC91AK8-D5*u%a@j>QA0Ep?u&tELDadsL6dFN{g{eRhvT
zN_?_~qFG+M&4h))UVUWt1`sTX!feCqTXC4HJsKsAJLHYUlgU`zACo&TA#;4v-QBC>
zTt|^z9jCxjocVJLLUiXjA-8Uca-%Wib0x~<LauO(!GrA3{44{)&}o{pEEIHkM0a~S
z9d@~WURDpRQaB@U=|8w4lrr}YuuWc?!H-veCm0K)Qh`9Zvm-)?!90DJ{TV2SffMNV
zYiu)gI1olalJ<y9oeoB5qT3ahZKylJDnlO91~EAV_3i+tVyp|S177sQejj9D@aT=O
za*rJnk7c~BLXTN9DG&2P?neYPNki-ks9J1J`AAdg9cu|57w>H~ji+T^jk$RT?e+Lu
zk}j0`GHx8dA-n}qUCSUb>|$u6y&O`>!V-$f;NkaDh&O^-%^k<$9OF}Vg<=`!_j(2j
z+J(_zA2^K#<XtP=e8Y+~7)+(vGP{=M^Ssy4OTqL88l)nMhE5o2JX$|K_qg2t2*g7H
zZ-g;v<G<@U{!3}54tl)2`AT*hAu|meI^in`G0{(wV-W;;Sxp0wG?#+4UR=m!@~%r6
z1M2ejc^PUqhi;tt7g=9^&pz^c?#$e+zN-G6|Aq4#Sy#+lHoq*C@CwWGk?rA~@G!%v
zcoMgi77Il4MU)nuk>OWnffcSRTvR5!9OX8)qObt?6M7y>fY*%>E~jvCJ#!2v=R3lg
z<vU)hAb-RDV4CUdC|X{=X|bUjACoZoVr)0WqDQK+ECQx1JaQr-7E9*NpKpH?P`XQc
z3b%_%P2Vg=)Pi(I!_6K9M&s^c0Av)L77?!S1OgaXEg2l!I5_5HGXt<Nt|*LWTin@P
zceWT`?5UK7x>2iQ)fjf1l2~7$aMGT1OG}Ys+H|UaWoH``;UYOgh{ybtPO*qKS-C_e
ztSuP$SVu>P3oAXTk87)iZQ)S1)RV)Q%Tq1ndwbW8@?zPT`(maX^htXi-pz|)N1HGP
zLo^O|cPQDddpaw;CbQVH+Qa)mqF#R>-5vAvw6;e4p-}s9pjvECr+b5Kk_IDaYVTln
zxs$Rr$84&VS1ly^x|cZo&p|l|MCuc%m5+lRCACWqe?VU<%4F#fpNx|`7LJk4$NWC0
z)Y-q3mjxy}a{Pl1c~9J9{0GB(u*JCm%ChDnjI0bC!y!W>OkZfm>LPq5Oa@lQzj>xF
z&(Mll8OMdD%<+@gC)PNUuWXi^j9Bf|dZ7|hXRCS>_;3bVc(+}7<TU;InyA!juh(x_
z))wgtW(H0?kvGigO8<#RR&t;+nDHhHOS`#^%^|^Hv5lFI=pT!Q${j287C*N-;)ztM
zCE-cse7<5N;yg~*(~H_Fm7X!Ze)ak1uU@b9`qEIaw{=|W@!>Ph7#`Psd8|Y-kwy6~
zE^6^MmuwacW+E*fZ#>7@?d#XKz^|gwLDr>kBx=rAn)~ew)RljC$KAxDEYJI~$V?SU
zVLuklO!}Kx#QLIlKMphKV~y>OU{L0?%)natWw-4+J5WWrvZYl=bfdT|_8fjhPtxD&
zi?**=-qzaMw!GRJ6Lm<;9Z7WNlITz{qe-_ozEDah<JnZNt|QNHi1KFPNZjMjKu>bZ
zUcda-|M6HMSt#VodP(1g4Sh?OWQ)E+OIgl2R<G{r)@|{Y1aHV|jbrZ+j^%ThRB2a?
zbs7W9cI_Ol^}0Y1+W`(@BbZwrgyZ1_Z)|xPt%k?goyxJB9L34*KrEm*e)Czo)auB~
zVn_F#d+xcHoq5!WOE0?k)rTFkwD+^0{cPKg!pryW_)9Li<m0b?^*cU%>ZyNziVt(9
zm3J&Z%R82Hs*CLl+g9OYf7J?61GxxJ>T8cU;)vV7^!|(9al~C;xbd8A`9+Hs{blhy
z|F>b+jW<5<%(d6fy+<ECcQ0EC^iGaycP{7uU42x2mj9;qZ<KFkf1x33>xM0}%pW`c
zP=Gn5GCUr7FpQJ5oFNDY7rJBa3Z*pXr}(qHO@NswzNUX1pII4T)5Bw<<Tj^fK3i{!
zlBkJu>!xKM;bjEEEbVB_`b?T?g(x9sBD2=ASG2rU{i8r-k=(>NipyOcDcCBPoZE)i
z%Xv#K#eD<zob1-ve6eh^^+qGhrWiiv3+DZSC~rhf@=}`Rg^rH+62y(3QY_|oxvObR
zaii&IqKeu@m@caVZz+hUTU)ty;;R=sTU^K-{y?g|J(qLo>l}=3<YlW^p!dWATwjRA
z<u}f2YcS|N1yc)=0bK5YA1zU9VQDax%p?;Pk9#?{d@-W*$MR{ce_Uba7VCqH*GV8*
zrqihwm#eGN)#Y>N@+0wFo;Op(Q+{7tYtkqkH1DTnvLUN!ZYE>a7Zzcv1*H*Na(6iv
z^Ms6s^r$p;L|hifuqd2vL#u&3ei*d0Be2pl>=tEis8@2{$^SG*uly>g1Fisn6?%}-
zmeG-YiHzh(*>ZDPP(`68X^hoPMb>d-{ex2(4sAEvmhVd$PC#A)Ag>E377ExW@%H9I
zzSH>+-uxWr<%98jq0?FDCt^XeW?t;bDPfqBVzB~>;x?U+MaAES(%8va|I3DxZ&*sP
zbK`)na|nB)1HDg}zBT?ogXvWldNkSf2z`$uy&&PRA3~q*#ju4tl@R4$MOe+Kjj&X%
zCz?vXgDz$NrXwk@xlVReaDt(9<&sKDoCS|IyqWIh8Ot4*D0X!4FBu$^+3{35jxGA%
z^)=Ij3}drs-ica7KP_Bx9VeX_-q{;2R@-c~&sGC%E`f>)TOP;udnAkKtjqgDHtL>@
z8-Mnp#!cIe8;_Jv<Ebw0hkmwk<J`|S@=K(a$PaF8+{JC`H#@NSQavaa4W|+gVzhnG
zQ<LW)1PY;A6PHT0hu7cw^t+;ZF*j`c7i(m3Z=nB(kqU=6KF3waF76*2>tCEbQ==_9
z^XB&Qn#H_rc=6&j<#w+p6dZBsc3wOc@_3WH7Y6yPFu3`<-`xzJT$~C|>aQU~AE~a^
zkFZ{Y0@;WQyA#7O8FZN#3%{bs6ro2Ne(+Za$t>37#?DN5D|>wO8`3kwhiwMYRvS%D
zqgbg7tw#nynE5Jd1NQ6uG6iAk#y*EbVdGNZC`t)aposO&!(nb?^5zE9PAQz}&emIs
zm&x4_#~ZP*?sQWbD;1lsX&%#nhKf>R9P>HqpefRL+e?%N2z|25(0J*H#R8>@2EZ_w
z##Ta@4w_sx3d3pXN5;q2Ls|n)P0OjpC`!tsvgweoAc#I&TTM|QqpcJ1#>7eAh$pvw
z;hCsnK$Y|^?X|r`p(F3Ipkkw%s($e3qdz);l~7zPwZbvP6Syol;nKPG4*543Jn}CS
z0_`2SG@Cyz!K2mVKUrYXg-*~JJX&^-o^(niY%DZg4liP48_Yf(z8>dQ((ZH$b%B=+
zF4mbM!y`<}K3hZ~S!z%QW1_&46XES;D0JCHbMwx@1d~l5AD<6h0`Vw&IXdCrJp5m@
zy?2~sXLaXY&%IUmR?bzoa_p+=+|^xOUER|YdU}$CW)vn!NTZQ7@(9EbB#=lZctkW<
z0uj~*BNiEvOwKDXK?JY8Yi#qeS*<a)5ndZ(%xh!t+JNoSe$R8OdRk&eyZ+<t>h8KZ
zJmJLOIVT+Q$75m{5WRq1GjbIBKv_mH;X3HnqBV*u3r#y<J6ThBB0`tkhoezm(II`9
z6vBi&O9Tq<CAXm1hFlAYO@$2LQ?d;k3qV#M+9?k%xH%pfyg5;Q?u+nBD5>#)dI%Ju
z5sn3em02d#{9Lr0h{uqlxtbt9xnVk;h{Y4-=-fP$ZnhE(#%Ltf8{P`m!WWOBkzquU
z$H3C!MHc}l5A!CEf=}7Tdqjgqv-QQG@-TE$o=$6Yav*=av)21@E87tm41Ff;BLRx+
z#<=0LfpP(eCkIpr*DY2S%pCJ_6)WNA*^&~wASw{ej>2w<0+dLm)Bc1!%RD{-@T<X4
z4i4<~k#)twl&>$1O^F*3`Iw*zidcAPOj{cx<jEKYa*v=XwvZ@1T2@4TLq_vMQyzq-
zyvXwdQvdvKxbPAKb4A--N7D^0+~p@-5Fp!$%XpcoCIef`XiPSy1BecHs*L_4?TPzC
zYu_?)u@R2&OEOiuOgyG=uP4q#QPc%K+Zc(6aue~SVb~Rez?cSXeaqa{pOKy|G+{h%
zN8kNriXydPouh}+^aiTZ>6lweqN^tI5@J%+6k{~cxkk_RPdRcqp?dNezdO?!QlW{K
zE0yXu-u?i~uANoCuO_&VFHJJ^&BU&$wI8lY6raet@&F*Qbha7D8nk%ZgR@`XUuU3^
zbKD+r8)noLThFFnVVNsv0ygRk_u1U{(8~@sY&GpO+sxl&2!DsG^at_J$iT+1V;XT2
zBy}cJDv4zZTqKqsKyZ4lLR3m6tZPBrjFbNrxs%f(cx7ZpFpU9YGV|M}@6Eo~zV@{p
z^2}gQVjfU?M67pAC4CRCH$u4*e<CgSkTV(5LckDznY-Kpe}?T%`LSCuh#>@$l8#A0
za2s-V=Kxst5E1H3FUkNh!kHXQ8d=6d8L}`)khm^odgB2Snn3D^)DUuH_+ZOqaU4;k
zXbj?JF-_Ux7m_5FP??NIh<4!Kc0f}ill=Y=pb-@kqN}j(D9T$P2Xie9lJfG1;Q=za
zg`rtS*azk2hP(}V*LWDQF8Z-}^7@(-LkcN7WXGe>Uktt68|nxUmFr493T0+8BH(+;
z(4`*of<hAU8zL?Dv8;Ssj59*E>{>M#*ck?55RIjv{OlHF4)$mktyDS|1$q$P6$n&o
z;Q(aVG~0PG0qQGBNf-{B^=9V8Jjs>eJx12+?XUvG&8k=9kzS}w4yafvCA10?DrZ8^
z_0>}`#QbvXaJ3$S#DFvMW(h(RZzTJDbHi`)fb=`&QqXZwRp^uuR571o7K85ojSxV7
z#T=Hvm+6mVk+v{?(@7jjlYuM8S_BF7hJrR!bxZ=~9Wjx|BLo5q)CpU%+*J1kUG1eV
zR|J&>NU&TTF5+WDNE%xApL;Ct$Zj6Tj?mO%Uz12PZmr38FvR2Ya5<g<VyY>r7xqab
zTX90RB|1nh&$>?peRP~HOv8T9iT{g@Wu*ORF+(RyLB|ncLlAoi5D0AIks>va{1aLx
z#wR)Of|h{~?(WcMQ<Lj;a=J<usdZ8`*=1VUn{l#}Q!C#25&~wSu!vDVUhZ93vOlgG
z&6SlpPDWcTGcIX%)A*Jnaej3~7UYj_t5RuZmQ3#WRNoy_X#HfTH||oeA{QC>C>N26
zHn*bbme8iYtI&wd1h}3J!W{Yt^KNjCyd9xA94=sd?baiJV*JkPAKJN`9mwaJ_|9<X
zW}Ca4%|JHt>_oEBNG12SIy-l^CSaAZQgfdZiZmvbZ@1*4o0{7F79*XC94cYR6pSml
z*1yLaIx{!8r$ZB|T)uP9JxJqfa&q%VqF<(d=bnHcQZY5PcQ0`UqPOwy(SJl|JxBZ|
zMMhJmSZcJT*XD_J=LitRh0tKT;f-|cnsM%HU;ElaS9|+cUUfSy-fWiN@&WI`yS$fv
zUY#30TfKhx>~|lSnGQVw|Bpt?AGqh9yYKcS9{u-6KhF^U3YiyE=*Vp}k##Z`9bp`u
zB69RL&-1aSzt!_TZ0R~Lon>ni<;X7GhSI_~v1;4PgAU>*?5{6z<L*}6UF_@#SH(>|
z+6V_@!=Qt^OrMD;Crr}@e!&%NM{HE?CXgBIu^p2wqDjEDb@yiBvK_AHo<}FzVkZ|n
zmU~`?1h)(U-M6}Db(@XUjpkPvp^Zwo-hL6pTQ3a1mnI2SG958<mWAEp8AQHS8dj@*
z#@ztQE6471@Zo0DY`4v~WJ=MhlUgigQcg8G{4IA?{VD@B>CXkzL-(*>Sz1~O=U_nM
z$zwG7*7S7<0E%0;HyRCJp;WW#mFKT5c9|naC4FLgu{%FsuS<+Yr93;ks2+4k9Lt>p
z<L^7`ZF%@tB$DzViR8D&_xzT-C7IYYe!chcF8rR<PZ?ADAM?;so<hIkY4@n%AvP@e
zmS_^!@siun*Qxtz<$NFCn*-^g5tMpMxxBQvw$?q7F8F-O#Kgoxx7+P>vRUS&=h06Y
z8|uqMApZh$Qir8=1at%y8EJ>oFI&zK#xnBMNRSZ29G`CA6@6I4=K=NU<Cquci`$26
z)nbNRhYvP=mxI3`Ge6f`kkpuX=%65Ge0F9@c$LrBZ8i<n-zn+G(OAH(H79m2s(QUU
zI(2Dg7H^%L<c$U$XQ4MYpLwgWoc&X)Ywa4+1__-ap*m>E@M0<{JPb)X(P-}45s56!
zPm|4bYO>?^FE2MI(7t51FPT~lOTa5BRpSzzUTd$dPRZOBoZQ$R-XVTypU0y(j`5mF
zh*nBA48*rSf#!&~rc1(fCazv@M9|#4T#s8*_YHqpy<qsuu@I7bOufMUt^+%){@~*O
z?&sLYoHP8RYC5B;nap$C@3h)l;MuqHnOP`<C&iOXZ~eSE$yphoG7CmqW2>bj`E8Ow
z1WGI-{D=~Bwn)^hJ(d!S&MKe^^k4d2PM6+ZRaXu_s;<N!4p)rlh94a-{ZAi}cjOv~
zgh?qG@fO2&rB1$&R4_DwHMmhvXAq)dsaC|YQy?By(@i<vY>04i|6{M^UjIiO3iJ?s
z@1Sdjg8u1z<#NeG8OdILdDG#QC;9~DXK%a0=R;Rxbwb!gG9mCiO}`(3em^9cM+ssU
z!sKGS<Ryg_LCA#bc2F2-3VB6$k3Lekn5<{iokr>Gt$wMFD)3BR@!84AKbTBDJH<nd
zHu`TpTSB~zk^3d4?yg5qWx}yBmNU&^KbtU&iJx(<zJ#0=3ujJ6>!gYiEse7D;?p`m
zCJ#KJ^x%?Q9#~Y9?Jpr)gw_ioclTaUTKE82K9{{lHVXuHHJE-%I=BiNmR0X^U%*%Z
z6sR$AA++Qh$yFM({G6E0m@g5V^h?Z)tog0ryqyr_WWwfMwvW*sxr4{K&VPP#)e&&S
ztmML?9y5fU|Hyl~iKGdrlQ=j6>^9`_9}lGbyZ@ILmt5-v=;`a|>(wq~O+EVm)DqkK
z6f7>8lf?vfA&(IDAy>U?cd#lAL@Uk8jMH<{9iB2cMMM+}uwY!o%G6!FU=Kq)vQyJL
z*9d=GXk_CFi!m09MH09w2t#Z(rqGpY<)oAH;{=GNF5KDgotvH!`KeT5LIb);Ch}kg
zh*L}?W0hpm)G}Gx7jhzoKMlbj&pDm*W7p%}R=~%uxC8`9M~!53{F%gDN|=r|^lCDb
zklEO&Z@t&eq@;amBoPPYP>n{8#}3?ezCX4<_!}>8+y#?24l%tdrOV%VegHg{-Z!B4
zPlh7YFGlYr&{oTJ*aqO2W28HC&1(AeK9ONqbF@)<B>6!uL?yQ~>i!`@<5uC2bE6UY
zH=CQA`x<eS*ibwn+1^9JgetHRc|D)U6t)kPemtIEjFZUoe)0eg&q?(qG;{eLo_qM=
zAIq6?euAs~_*PuTSi<7jvk#Xgdwi)p`&^{Q^EBj6&r3Y78f6=KzvmOYvCIB1l>OFC
z3*{1d{$oNFoL?J{H+`W+I5+#bG=Vmlh-E@vms~{IflhCMIFZ)c%!qDEa}nm*S?(>t
zd;n!MAW0-WZ3?OFVPc0B4OVEd3omF?aJs`-x<CfpPpe?r!7YoC6P=X?!<v#N)LnEl
zoKx9s**5*4CTzlP(c%n0SbfNw3NHx&e{Sy3!36?7DZmj{Cy_aTUy1fFe^IfSDiidO
zsQCyTGNMFjL^0J1<hzpvV^p&0aSu2AT{A!?cpIntd_D>?H-Yg|K)HmYlm3frkn`aP
z>Z3P_421gWV{b;A1Z+ef<xft}tR9@3lV?1*Iy0U050IVYQAD%VH|8h-dx^R$2442@
zhs8lZ6qZfa_!E92`pXYd(C*dz59k@D?lFlGbGOVgVf*qejDHkxf&bI(!7-6hzlTSB
z-{$G-4uvC^txgmQfT&^-5C<w#n8nuHSsiQ=%vzaUs7zEN^=dg=Rg<=LNY}*`i|4GA
zR>i<kDs>3QudbDI-LlkDovqLrH9OhLcq28C?>z69wQq=OCnHT##8nwbu1D<uPC?|!
z7rBOpG`nzLqrY<E@f76ro;}7x+e_qKzi*%OfydI1k46t3JR|K$u8Bv#LGG6aSxQiQ
z=a)Rc?0Ewj0UiML%WTjIA3972J#7Ze6YQPs=7`h_&CcQ>S?(iS($FL0oD6(d=F-hC
zsy^MIw_?#m&eqDmOb&D~*BvEGGSMuKbvv)!F~_&<AhYWGJ6l`E3s|zXZ5iMYGBba(
zKKbw4eER<VhMJ#0k|g1i*qtfW1mr7${V9|Ltm6&O*6W7l!)R^<lDWK5sn@EM){ci6
zZ6=NZU@L_}853CY@H`{7-dJ5b_+|`DVqh_4cr%l*8!*2xlhE<*F0<!is2R{=d%>2(
z(Wd$(WB>lMfa41);te@eQ1Dq<k}d+gLz4G-lSL~RM4>-Oz;)P4CJSaXf-H&2&9cox
zGHD@nrirJ(*cNKG$`Oir6gD<a9Hgv4RSn-ey0wH^Gf((yx|#+V<^+m`VhE#_@%OvB
zpKoXUxtv<Kwa_j1qwT0$#tBBHt3tVZ>0He!V9&0_Sa+!G)218Q>N>vUJeh4W-{d2E
z5L<t!>h;yt1MMbW8L*ZBG~==KTC<4{WoGlr>8VI0$LyxT#7ya{l>75#cyl&ePhku7
z`mk)(QV~L4q~TF>0U{{l&<y?;ec1!6tAr^%<bH)BNivINv)(Y`!0gQC9%6Zo*_mDC
zVkrz{D+JEbr1DLCrdl&psW{iuVKfmkeU&pcGZ8N)NKJrgqg)Q-l!}#h@4C{xuzRl&
z?Q!)h&{=HVmeXr19fP*rGarQ9&;WXxGbf};q;a;IS5JTILd`43=#QkySQ)s21FZKU
ziMkyN372Ag^#v?H{Y;K8L{>>=O~v;{1{I`Kn(vp(7*7}kw41U~G^VGn*u-O`n$5Ko
zr7;+Z8uj|!@ddZb9Ev0)loiM|aB3x*v8ZJiGUa%jM3kyhU7Dj7IQf}p2)G8F;SX5`
z4!u&bv}<O@P@T!$d*z#Hhv_90i;<~(OJo(gvt5SXl(_$k^KWc6B1302K1-T}5v3c_
zmAKCPv)#C_^K{fTS|P?<n9m}}VDFnM6hq}gQcx7hLK%SC+6{!I7G||@Nc~FrxiCAt
zUmub$z)llxrQcXA+^_?)k`a<CC*70FWqDsiB8`kYu(x$Q8_dA-PwmbUTjWCR$d&mb
z+w|KB6hMSWSAY~@Qe-z?QN7Gmi%ZAHb&4)uTBeL{X^iby&F9T$e(E!;g8{J;e-=$1
zrwqrq=8@4|B5?*xWO=#KP)51r?6b!q6}n&Oi!ZC+A@7o-t6Crv5=zGi6?VmgjYhL8
zM{buD#{qZl3n43>ImOSsgVIPqmNZH%=BU@Q4F^P{iR<^&b&4uQjr~YF9yK#1`>S!V
zLRC3u_`x?8^W+_IoXVTonIZwD!LWK4@-DTB9#wxyTPCq>+=|D~gAq`u8Eq&6En_8{
zX$gPfg9{2*lgu!95O5QHfWZBP6Y;EC&;wv%bM_WT7C8`kkJCp~P+}wG#n{A+^hQ>-
zo#?Xxe>#OHB#=tuhi)6GbaP^Qs?E&wwxtdo){ZF~M7U&7n4Oy<cR(IclGi^80w<Xw
z8N6j>9Vcs%k)@eRIfOt?bSE03e;lK_eE<`K{{MV}u_bRkt^`p{Q;FWvT#Nj#+6NGi
zx8{~M7IS%oXVjo{Fp#$W#LUF=&eBG&A=zm(%feNP#ket(%?g~{Z)dYJ1G(1rYYVUN
z_;A*|i2PF?$!Um7ljdlWcmUuWf9`jO{1r4byz=)?pFX{e!z{kI^Yr?$ou_xssXKSI
zCc<6ckK;)9->2Rbe>bVw`JLa^b3x?zbLxI<cnfG!DKjNneQL2T3Wx*^N}%B)H<Fk)
z0T0S<F;B~y?P)ffZ-0A}>AU>kgAe*X61iFZg4H!w`qq2H|L8+Oxl`ReymNV3-F<HH
zKNX9I+p*a0H-df9Jn#|q2=}eAg3Vik>cqA!PGPx0efyt!WMgCF+h0l__22ob)bJB=
zbtE+WctZUeH@H{bKD_tJD{q{dojrZDf0Ro@&%F4be+hfcC7zo+chYV$HAME5sViB#
z<Qs_!pK?Z$crySsu8ZMm3yeha-ZHV5Fi5#eGTP)C9Stva#HBKFtLQNeVaW8|>x|e7
zS5hl;UT>|su$W3M2B|a<Nsuczf`<c_CtAV=O4VXIxwxy{vdvVg`3|oynad@m3>iqi
z1W|8Rrc@Tz;bi&td4E5>dpeo)UU5WSPSnFP>^JdEU~_86{(bxQV<lOgcXIYKM1u&1
z@_A}4pgH{O*|TTa5DFKI;uvKx8J-yb7MZU*z{d%tmye#7GC}o6gg*w;=p(J*I!bga
z3|tKkM*!~(;MQn|Te+pBnHkfZnOR!OweU!a9%K40wte_zDvj;mew<UOk}lJ5a+Rvn
z3XRVXwVY}thlJ+jsukzq2OfCfs-sjb`gg|b%NaL$GMXS4Yg%Io5*sJMlBAOdPrc+g
zco5hnK7Ka^jedAw_gVV^Oh-k3aBswW0F}WP-5av!{_Ng+?>*^@><wF|j70sE9o&p~
z|K6M_FNTfqFCGpXkt6T=_kaKQ_p<hzW_kTxeCu&`UI$(PKlMa>Q=X16((%(lA9-eY
z>EoXe8Ys_bUxZEm=YY9b^#<qtzM9eX`R5<lGy@BM-=?`M2sF}XF9gh|UYJ8Zq5{{f
zP*z}Io(R;R&%z6QXOn3PfT_Tz#_xhgd%q`6%ZeXLdsy6ADKpbCX;J!{BquEBEqbo9
zLHS?t1V8HVi4!M|ALsY@@!|JaX6bfW(cAD|!re^z^d;Qe&7E6>)=}wBQs+Vq2JV;b
zeu--c0x=2@ck0xg(6d=!eNEN;>Q}$&|LXd$|N5`z-|GAHr#~J4lth9*zjpKQ^3xgq
ztyI>VR8O6J&D7LXXX>Tr&Yi2C3-Cm(<0_1==KkFKCMRET|NT6Z4;kH+E0dlU_`#Dp
zJApgeWM;^4l9@xi*@zbpWV1{l#-!l+gr&ht#IBEd0|N(onFF_iUx~&93K+pD3*Uls
z!MohKCkMKA51E&;L$gRdcsYR&*VG?Oa)Ruz>_--Bb!6|_;`qCk(b4|3@%NidbSl5V
zt88_+)mcfmCMH^`6)FNj5n7!=O4ifFAS>04RLFr>A~|WG)Tn1F5mECADXWl1W3;uA
zmaQ_w@v--|-&gMc1wx{>ZY&S*6*BPWxicy3O9Q#Z=m93udQC3RBcw^P-b#Px3GXM5
zasJ^N>Bq{gvmPQ&6~jS#;OEVr=FfLi@8>tEdx!TE&3^ybpssEjFFjh4)I!NbiNuHU
zU3|ymHz2HIY=8W@!|%w!k3V+%I%7@bZ&x3*sMfgz7seiq517#;g49TuVnFC&z{ru0
zJ0G+k7#h<1$=<ztU$*xrv;eBzb{)xGKJ#XNDvkFwDk^vL%{TwTwLgD|d+M=o^Rv7R
zpRlMo`7`EZMpxPthgCY0g7HbBEK(uCGwLFDYB2zT$+zE|PzNLCeib#;a86Z-ASk^(
zuPC_5a2cLKs1K{(h<S$(zv)f9v(gx`9j?!0ghkf8NIQxe@M>+CaLFOu8KS6pv~X^1
zf}jb6xT}>=zA&*~tA)c00Tr50B@Goj6i~;&w*-!pM*|gBfF`vtayH^ttzNu0xIg4e
z;H`_Rz#S@ZG@xEt0M{tm>|VblX54N|N1(X4Hsp>fU<JZr9`nT7)|}-(8N43%#6tNm
zOx?dYAh~4)_)1w4wFYLbWy@L)g+M!E`~t6!3HHLYom^v;a`8HA#x_HM?Ssm9iSjM`
z)Ui18j;ZRMq!VnNbJ9RIdPKdLew`Qo-y+|Uw!vz7y(5!Hqt0ku8Ei7p+(E}tsL_l-
z)ITWR$iM&{Q+rgeyh_T72$|#(6eegiji@|oHXn~C^TcGObCjcwS#ww>*HRc^(2XNS
zqf`0BpfV{IBCuOTJsOO^eVyr4rHs9giVcEtQbs0QET!_*iuJBMay@A}qm^mZq>sE?
z^x3tQu`LB(%Fq@41k*=z1!ue<>0d>nvpq<u`sZu^q<_@SlsEhMTZW(G>!ZI~YBU<(
z__%uUCqMbghY`1#m()1eP_NYXxHV}l8bFAAeY_yKzeFByFiTMz`G&>wpWrQKr8K7t
zx>xUZJy~XE_|N1J)SfJr#F36oiol1(^^J{nlKFrMGP`@)9oyKjJMBGh)Sff(o{j$A
zK+0Mg%y*(#JR#r5n(I3*yKKjL6X`wh=oiQV{*XuVvE1wV0G06mMkUo9>etnmXqz-p
zY1alTF*2AW;3Ya(ste|rq!P_GW_U3v>RPU2q@^o2lZ{LBB6m$*3I?W;>$0TR8Pj}=
zDkeOMQKLVMAo;+vdb*CqXq{~&5O)K;V3iUbDQ(#1L>Xpe669IAi)@tfm?pRylcgY(
z#P}eg;4AJ8<Waaa3ZnZNxW-Vq7#EVE3S|8JUG-^D4LO-u90}Nw^T375;aqjFqF+ug
zv8E3cd#C=4)^I85vs_rD7(i@E_Q5vyY4|Voi>%JbvL}n@pJ7Sv&gI710u)T*$K~21
zjHx!_aS|V%O7N=SA}mMhAZWQ-tVfvR<R9xG$&~TuE*2RyVBC+{5}YJ4q274BJ(Eai
zuR<1ZUXaxKAoeU~79e3xmN@b#L4&DkK1tS}Z~`b>(xBj<6U!hj5OVQVvVW2XicG8+
zQ8`thA~wO<Q=BQLT|u$orogUbN{tz?bapBf0~BWCq)S@9V1meYB2o$L<Wwg|6nUQ1
z-CPPYBKJr02Kz;2wX_B3&IYHA@<4^`h@!kUS~=m;5j-j}Mea+maR%oRNS&tKkL8UK
zF;CWB>T{4G4;ZE`M}SzyLnVeuUolP~5-Jyq`AU^AI)IMJY&IMAffU3(%@twfz&oKn
z1a$N0G4&{#s5h8QL<24a8v89~=|nsLpqdMK6$%4Qf!HKXFHOkz@Na1=fsYfY+;UPW
z;&u`V;EDM%VX8#IqzlDt*sj+S`9ir^@Y#~jM44fWAL$9wUdrYCL=oa-qBF4*BQq7^
zfDVz_l4@5xPIWNe!vH=HV2(r~c;<lV8-gN5o8&T91irV66e$=TiReNBBUwq<k}zq(
zM1p|z4L_DQ4PdxIn@}7aR6y~$Bz&7PK@`842t~qlL?I+ZmISeZh}a=W8II1HbDUbm
z4p5^Zhs7OiCpC&#@C9>7Hhy_oQtk%qKs=U8CaDM)!5?NAF@HMlgyV|(dr8Xw`BM%c
zfJDl+Vi5<Nf0pj{*@kTsCXlcdsnUdFGj^nb=`<W-<SCGL=k+ANyB`_pC-_E6(6?33
zA<xyI)zIz1Ta1MycY?Z;Ri+L}8npSFc_bS<=S8U%c67FMc)izN?#sM%MR?A1X^mWx
z>Dz%YX)#|`X?5kfnEdpvdBdKW8Tf-c$|W;r6pE`w$FX`#OP%lf9H)4AFbD*z)wy2`
z?%8uR;NQ{h7W&4~#LUdzEWNV4w%Yv(2Hs4s)gtaMHvx$LA_CoWRu2PpveH@NO6{DL
z%VoQ;9dgMu>sF)DC0UPJLOb~)bHVG&VyT*(oZE5yy-fmm*JozPI$*beF-`42EHGzV
z6GS?1mwRed;FIhu(uU%hm3QXNwN+q=Hj?IqOKGpQR&~ZruTS74`EZa{S2$V7v8M22
z;X*fKQ~jowV!zkmMeRs38I|2yl>{^@`<10;gApG~g$dBePEl4mh<F$9&y<+Y^~U53
zej`PYA|;)Iq12=ii4^_*dWm9`^~TJbGmcad_ChIZ)o!P}ZMC-0DW6OwOXROJ;-IaS
zkq<+sge2mNm`x>PvAodGh|L^zBH)vmDTzdTHj^2*)92AwKhH?Kh7nlTS_gP8-3r<q
z&bz};0Yo9VN@Fec#cpS#yb2J=()e02QwW=r4+13rHTMAvrbEK<(+~eaC5Hb%_H_I#
zk_67br&MC_(Wl4qM5?H6d<W^A2tj_jn2k>ASD@pK*rg;{u#7}}2g2~TF!_ES$WwH9
zc?{x>AK=nj9g8CrMR>)JH`J3TVGKz~MN;H+umjnQ4Fxg%W+r_QqIL|ERb1;Ru0C7^
z)c^u_^wzxPvgovWXl$>d0+!8<rPQ&O7&Um=OvbehOYA!XVibib%?73XWr2E~hj^Wb
zeSO8q9~0e`o(>%g+x{=XoUR&gxQY#^UZBIwSp1Sh@74%0a<+3ifUe<(wB|dcOevwW
z!`nHSlV3MJ`E~A?cXh9lR5%_vQ-z|8hqQE`9=;ui?nAs2ZVnyD>R5f2h}HPX#mK=O
z&*lf~ZjMw6IKz?=68U8uz%3V@*njy}e!vhU8Ic0}V)TXKTS1whnA*RszNCHw`^@q2
zvx-(EPs8(|Bk`<!q-FIKY|{sA29`rmpBy6&i;NzSZYD+9Cb%>x1%k7DS1G^(^~L@@
zGjmz;G79Pb+=jVcuZO)c*LCpac9|D>QZe}Z1VEImBUAXZ?z;H7<BL6Qqf+tR^(1(5
zxtu4yl{CP3y}bL#!uw=sJ;RI4Bk#qhFu<;M8an@SP|0M)6e{e>Q!;hv3Dc!PV;jth
zYzAroj!>55j}QH)&yx+VIM>0Ujnw6Kq-=I2L7P!a-%Hy`JIc|>;j+m+hNA}DUmvc1
z%@?N7FTrpfCl@5F+I(nbaS;cm@uc3|oC8(~aZ3RsPkO`qe7;?~pL(w~Kfk$mlKj34
z^MJo6jSyry)hbsa6jO?m2q%@Co?5;lTCLWrNI}tZxk@s$$kjoln=o<JAv=_*2Q05&
z{!}zYN^pW}EUQ>(6J!=2{x}h@R%Z5Jwv<T3VqL$HkA!<+!|C;AX3aNE=kk_aug^^9
zbNZVsfAItWk$AN_k+OWr9$lRa4*y#vLb{hizEq3=O3vph6=bv^PI?5REQk_YB2NNd
z=z+_RKY=f;039699GBH*&?0ER0qqCBbeo?+>8?JkCZ{&3LcX?k-PGRxOsyIY*Q&Gq
z%`a|FO{(kG)~HXeoa1{p>-$dKuy0@dzTwAIxkPk)cd`TBzox#q_xOGBefw@WwNJ(g
zdf@Njzxb5oaCRkb>1+KbUGKV>1Ysh*s(aL7O*16Dmf<-ypKHt0a)uByxA*0oMn?c}
zG8WXiOqHKZT2;FX>*4U?<Ww<Ju8>HNyx-YOAZD9*i<<uR26%1}4gn{Jsyh*?khJ2l
zN@d>H!02F-pedK@bmm^Y6eku0F0*^0DHtt~E#)3EP&&1OIfXd<30&&w^m-<pE)`Ak
z%8~Sz{2TL5oAOzR`XN7&64aF4OVv$ds%0iqw%tH4PU8FcFnVB?T3D0XYgngBq{iVk
z(NSGv1!%uMoBOy~2#Fpov{>Msv08{VRRAPOaK>lUeXz>ZH6NvXue&OnMt>)V-&KX-
zcl9ogx-(l&rLVg#ohoOY6DOW^;>7RZ%_zg)F>Gv?FY=y)o+q%Yj8r-@JM#>pQq%rD
z$ptO_KrhKR(~@QS>%z8_yEf-a3~R=6#G4_23TYyhinIdEry^N<<1mcPCDYh*VS~!U
z$9tKi>VeXa;Z39)@PT><H>Fc^H5iRyUv8>B^V-)Wm>ridCh#V&!5L2zLGc>TJH~!c
zt(?k}LwVhtj(S#Tf0NDo_4`0D8L`^V%ez6(o0(Bw0^ZK0%ADWp0o6gH9g9@#={L7L
zts`E_`Gj-nvjvAO*Jn=;Nd1^ViXF`rzM3}(NElrU9+O_kZCe3HyujaR3ybbC&)Zt~
z{I-MtV`skd|EKFd(G%fS80!uJYQvqxOZ`gEJE2(kI;DYD20r;3+3b5uP!FLT*xG4z
zd|w*DElx?z`!xznEGduOCp~N<AIP3|r!x>ch^<E~%7bPqwr~;mMso1jx&S5GPOly-
zckI69mRnY8bre-~)I^R;pzeW#QtKyH=NHO;@JT87B$C>Zg?gGm+<-y@V<QV}JdEfY
zQFr4yEmvC&rS|?8uCTW&XrBBobrHoPgtWZU-`wo4h(x}9*>Ro6h2GM}!sOvLiHJ#=
z849gvh=w?@(bWFt?vp$omOJ?`8~*x`*KFr1pZUyZ0%Umm#0!Jr>fGl_-R{oS`KMe=
zXu80?^>d76?;kSd?{&FOizavba0T0+bejzC1f7)-zmdSxh3(+JQt|!!_g}jTcj@<!
z4;nN_yS2XmV=sUC%UhMngG<c-IaF$a$;q{q$xdh{SS+?WrIKGAuMf}NQzB3_Y0m^I
zsnhZdCi$x$Q9s6p8YO}XLt#n_hU41cDf(NB2omAn#6U=5;lU$oYip}Fo$cIkPq-bA
zNL~-(5ObRVFm64idavi_r`M@tzic#`r9vd$&LtB6TP*RKzx}R~`t9>${`R;*gxQhT
zc3<2bSYs@X`kt||_nF&U`If!=7Iy5IoiV8ux_7ZsA>i(wA9z3ejLl6kzixRBj6HiL
z>HPG;eY3OZ1^A;=S0{7YC-xBNkcW8Z8>z2$m-xgO$YPX}KWTbRTX-5xxA1w=IepTx
zv0LLa<U!@*&V}(~Z!<D?WR5Iq<G;3wVWf0e0K|*NAONl&M4z(-MZ$`>!?rHRz1&T<
zXFD#_UH(=Od&**yq+vH;jzDsw(wSK#v~q1amdW#N)Xi@9&?T5;!J;A5W@0mI;cyBB
zSNubgC9x=_b+C(kLH-p<G>EAUU|`pukc#RFYCo5%)sjy=2JSh6e)<Fc#pe7%|0yIo
zNOF5D9f6n^hG`a9=4S2qO0#Jg&E`tHEf1r@1ry(si6Q0&YO__*ed5fub{svZD$wj;
zVhuPRaziME@ehj@<MO=EGVeJGA9|Lcah@P%M}rxpTf}y|)ru^Qy#MZK5;@?powC&>
zmKO3bkXT#(PA+r48#V+U_xR8V!JhpH<6I~hFZ%^tv@{V-N;FHE5w~a0^psf!e3VT_
zTT8)E++Y4Raygg|;3G7+_o#f%#PCOSwVIAicCd@(izTT7e!(D;S8)$91C~s3q#KkD
zAi<qek1kXzB$BBvMC%SfCKYr9F>Mx&tFU|(DWyY&Bh@G>qZGxY7>JS8-)Krw3Wd{Q
zEcc2X>X1}EenR^bM)EC2FN_%FOUAmZ_{wCFS|d_hWQ$4AcpNC)W_&0$pfl<I#Vt;N
z_(wk19ROuXj*+cai6v?{M*Mx_Jx+tXL~6&ywa$;L_|t2EqvVA7d00&RnN_9=!Bka>
zUT5O!MI&!=bs-d7ko{e32sq04r49Z?oufT2gF@kGk)ibX*N}*>9t0UmEHCSFSZNx0
zTk()dW5{^h%CU$=;9pd&w$Q~A)L1rhsP0#P2eeVo08@i`hyb9xarO8Jac|rHPaiyZ
zP+N|wwS|N6_#r|&u^C*lBTf}Jsw|Qov09mbKw^guY#n#MYa6KY8obL$mRok^Q<A@k
z@!kDsCxIBTsNf~9s3VMcYChY7__WzWUP<~`gC2FsV(g`ukC~?+m9e9{ZenaKsJU2z
z#m^j7RTcZ_L;CN<!am37Wo-eK)B-q{Nkc6KoJ8$QtDCsan`7#skMbwjaZe4}e3K`P
z$F>cYYl93>M+ME9!b_WB?CFNiu%ZW|^prfGG``;F)~#fdl#biBojkXr4gJn|Av0c}
zc;eAlg4#vxonq;gM`iH`daJwnMO1myKPvr^e?9!FQ>R|_k&k?&H1$s`P4V>+zMtFc
z9sbBic>eSBD?X~@`!t^3m2t(ts>ywZ8np};ZDpflngd*q(jAXUZl#CQ2&*c+*MJ{M
zEt@_kg2)ho3mhV6jW;s%`o9ldht`Ck>V2}H$hXjG2>yi}`#*K3OPZ1^bIalQf6ip8
z*kdEv%5o$obA`|uN|o#v_OXvI6g&yWdFRCd1|K1)u-+g{G4Kb$o-bc#DHU^!`&eO5
zgZ{N2{fx0jPupbGyNsUwTh9+Y|DuS)8Rd%vtf<*4{w*X>`GEEn9x9njgowN395Gc7
zUwL~OrDBMaWz<}Na3ZZ_7W<|aN*O5H*Txz8f;NSo0N;q0kU_8KxtuLi80#hzMQoU&
zTD#vYJKPIqg0Rd-PZd2~^twn%uo~^mm)?XzxQ{IpZK*G2X7?lKx_fNK>{cXr$AO%<
zSH{WLm#h7g_(ZYezAK*3M{Qy;C`}u%I{0Vsx#0H+VJvyd96&g)Hx`Z57T0WWc9>R^
zm88E^tNQ;Z({7y<0ISdv3@qfg4F>9@IZC9E2qfumDi!w<wGdK$um%Lxha{;HQ<^Ih
zA7I_hR;yO4H{dje7XwWwY*Q0E<nx<x$#0y?MM>>QdSxrBbJ#1h6^q(Fe;^T0wCWW0
zz;N@`uz5L9q-^bwX6qEc<~))?{&zvu`5q$m^IR~^#YIR65k({p9-rmM38b7GQW<<g
zpi6R%bQb#|`8%RkoVWiNdzBi#e6Go;hqA=%XaG-)@|H6gmcwibgDyA7z7e&&VTpIZ
zN5|#4r4XWERVrM9CD333kmaP(k3`4=OIjogm6|&lww=!h;1y*5!^W(P*2F@iQpQUc
zrSXzH(meTA&D^i<+O;d%dj|p-&MxtU@q^O~yF~@N#XGfZc?neOm2eeTGm?&#JmK;!
z?gQy^I-Frgax&SdjmaD!vl<nR-6D*x3<RnwO4y>q!K{x)pbk*x5H2V}s(Y5J+Q~?k
zBW2ua>62qsx0EH?BbzNvBcZMIj~!iI^&+TEe>ecHg?ErfB9{%h4};+VD9E`hr&F;4
z?zC7njh`)*F1?h@OJ0(vCf9+s(>kGKJb^WbQs@+hrXohUR4f!H7Z>*(<I*cDN4>s%
zi;I)r4gqEt2dN~)Fp3VY*jcZ+^hTpKN$%E2qJc9mktwEAXAytA1t+yDffqn>JB1RU
zh?Oxh)0$7GpsVMx64S&ZzS0BU&#ky6o_S}5Nvb74rlR2c+^MGj%e3puG!qh{KU&~+
zlRU7lMS7X+ZQT*l8NL<WqT`FWDW1d>L0q0tW!<)NDWOOmBmy}}f5cFNv%Z5loAr^a
ziN0`etpAIo?8Fn^rTJNjbO;8|%(gL*Gv;Gyi_sB@+%-EpYiF|HxQTOs07qx%5(s&m
zm&4iy$Ri!e=NzO*+|4!v6B{i?ow+keqp?_QHd8DWeDQczQZyne9_MOg*aJLcMMFgS
z1yyWzHY#QivOH$vF~TYHX?&JmI~H%LGjdimnvKlN#mIWd{pIoW*)g2J1sw9(=W<1h
z$K(0*9p@I8z43%Ix*s$o9m(Z+zPE7Yl!*1dRC;dq%=l#(&VB;kwaVZm;%1-vwLGAO
zObk_$SD0H^CIOm$fk-4nqe$^La`nb1JlH{~$zW`#=V4c`BO$Dk^8@*Sex$pY3=%Y;
zXIDoU{R$+Wj>A{eABzSn(lbp#p=%Lh#7U+1+=;1kmO%d{xi#zt-@^C0s#afk?+2GA
zTE^aACm~{%=#xn13UDmPPGC783{^c9?Crg)wc4(A457{DuIo#?t#~4_TYW}-)*^iT
zjz7-ym$7LK-=5E{9LU^)126}nIrjaVjea2%{KsbVqdO)$%%}GHu8EeqCV^{v!?LS=
zRDJO!jAXh1F%(rSbep{O3wUd|B=3yyBYCz(2GRkFO>vb7M;z3(G4ujhLcyNu_qR0<
zlm?QsnM!G!cNT4xaB2N%f>o0i#oI!&xGeZ>R8TI@&-o@NCufL%Co1QzJ$v?;rLy@n
zQI^if6P;I_8kh5PUlVI^@zlvYM5OS%dNOgQK`esVh%eP82!Sx`ml?&9TE1%zkEQpr
zG8NvwccGBhx296-;SQ;m9ts9a#b5`80bv?4+#viduz>x!P7P$twVH0YzOhy0ja#JE
zMwphdDNAE%#1@8oQ{GeFQHF!4HEq{!t0z2_ZkXya{h9h4(?*P7jU%m&YyK4JWNg}O
zqUQ?<A6-pEgsrHxYxZt9H)0(xRMP3=Q-nPc&eEAApk+Omer52${##sg$MA#5p@C!u
z&{%-<w&_$Y#x$^F(b$KJZhTR39A`APYNBpq)*J<{8H-C-bRZc>bvuiNsmX$r+AU0~
zt5sxh^Tx)=T5?Y82!#F;+fK?B3<4H6h*_5PGC-dM3lcsEUKIGsc|)t*ji%j3lk<$n
zn<cx3J9c!NbTp~lYAbMO!lqokBLiDQP-D=sU$?GIN{B0GN{dNNL)vy+K1vK?ZqKkE
z1N4eJt)aE=i6S6al0KKx0m+oONcpa)!ue72++=o@3`VV%)Yv48`xOkcQa+LNU3)%)
z><<VCuSoEI1;b)YXfHpRU*W<rxj{G~K3B?iCqWg5|HnAC?G4?Cag}Ph8IoG<e15fp
zkAMsnPV4me7`1Vxjw?P{uP5U1L>+flIFfh&ZyTE>;sCDnh^FA0m1Jzn`)3_#pRwqe
z(vm6?EE7@8NOAxYtULH*Zo0d~j^PeOcc<P#s%JfQ_4pJ6*G1jEw^+V~et!kTiZ`ah
zyLate2^x_im623;&&D2+JCg=@NT+({2;iiuZLM8-#a_fZ3l~nTzn6JLiE=Z2aXo$b
zCU4Q_#b!iH8BwpVN`7axX{u5nfIO&@ahQ=gXGfCiu(xLW2~x^rkUhgWE0NXXj(^Bm
z8^~F+NLWbw65=D;o`m@@khJD1rf!$2NhA&pBFCtWn{U3^KKUDwS#rLeI%QvdUv!40
zo7FFT;uD_;o(mkO7R9Mg27W217i5e_`RkJx<uam~8}yRoDtijvk$XKK^L*L!Ezb`;
z|E@S@fPi5yrkjnvL=`L#vYA06BZ5Pk9@JL%=6D07#@zsdQ6I6jVPGNYK~%;YAS>e|
zpiSgB+jfod22HE*cFBqQRCh<mZVQ5w(`~^vK+qvTn#hTsBa-6i?prr&0-KPjCuhmz
zb1@&X1$wC;%Ml7Gr*`DJLi|Rr)^XhD+}hB*jY$bwPX6$gi#mfx-kX<2H=g>}kP0B!
ztQqhRtOu+RFk<9UWdPyXre5%ZjQbHI4%iy|b(I&&9iT1<$V>+%BjKC3K^5gn@~d7D
zk6K8|B?p(npEhtS;&5yX|3m{$xEe`BS9mB!D`Kg#7}orEmmk`@ckcnO_rPB8TIQVZ
zX$M3kJ@7PN&iAtYAj4ngyUA=eP5EP>udSN+e#zlz?%y=c&HX&n!TnzE{)6Ui3}K#4
zeXLgV`!_!BGqBE49^`%ln-fPNY}-2?@EMMEw_NpZYqzon%?YxO+CN1z;bF;6q;@L%
zHG2guviCJMKnv>)`vf4j?+rYueUH0*4+di9!C$DCskeb<ajjOa5tKfYkLxDW#AEE3
zgM3;Tq1ndhfO-tnxl*puZl}^ttcK2)ybQ;Ed#2vbWQv8w)hvl_BBtXI*Q<(U!)Ucu
zzJwvf0)2&R-=3H_a{0@jd+^}g?4C5#eF-a<A>MhC`()DP`K6siY{?uF|KjJc>wJ}{
zoCa07-AvX;1plF6scnXrj5!hAv&;?AqL)RiW=3IGY@#sB0@GZ!^!blZL`oNp7Hp@V
zVPqoryIV5qpTGb8?}x+R4+h=;k9_chA3Sp7?2Si0_=N#KU(l;0MUtQFc&n=2ci(+}
z|9w{YzK|^ocIdvab^4Aw?&$4#DnEOAcih+F=SkmnH{Ii!gznkCi+2^gwFmk1738El
z<#`wVf>(6ZA#IvpcMV1bom)Z(xJ*m=2+h`Vg~+F3*+G|Rh(6(NcB#F4m_7~f48ljp
z<ri*;^Ix1cu7n~d=<b$%Tv?x#9o<8ogpXWYUq(I3+_O@XQ;SR8DJG<8%y&A(%}f52
za;ep9ghGwR_18~U%GmtljZA5F=Ps<+oypFmxepU_pd2M0wb4e{C%Qf}xwO38nn3xU
z35Lo~_N9_20`Uw6%y6}w^V|7cQG!`174C~>$he3&fzPPc&N=wEi3Sga975)p^dzJ-
zYrR}J<o#pxBVRh%Bm5jSaZ2V`s#Na!yhKk;G(ncLA?I}P{-@s#5`mwcxWdwQeA01n
zm7D&_Y#|WnboPXN+3D#vz$)=X#<GA+0@;F7D3FXF>n0ylB3)5Al7(g_ovoG&u`miu
z0d2>|TS!SFe&!N^Ot!%M3xntUF@7y_AmD!$`G!B;lglK{)@@90NZ+D;jz<Ad?SV))
zq$84%AtRR~NBU{kU1OhY)BV-gnyZ}MY;Un|Od#seV3mXoMx`=P=wm+Ld_JAVCP9h{
z%sc_q^Kwcm+A8!t$Xp04Svf=M2h&WG`Z*SB18R=Y4nkWeCnmgVbKf&oNou*ac5vtN
z@&wdxVuFF`U_Ug-UVvqt++?*NR$d2TogJx^kwibO1>oaOt5qQ*Bp`(ect|so^{V{*
z+_krnHbdvxab<89UvLD!&PzRSgM<Dp6rhbFLTfO!VM_cBBuGyj*#enBlZH--3(j%(
zY6Tn&ScBuB1absfh^4WR0#*h>Ph`nL8)DGw^I@wZPmSgMu@O=3iFUWuZJZ|`ce9+!
z*~k|1U?OEnC&?Xnj1|l>`o^rtqv@yCAro?tJTl)fU3pgNY5C@OMc&!<ZnqK-gp!lH
zeShaT4nSpxa=9Xy$Nkp*yC;*OK%Cm|>y)W|0iyThZZzxBIci03@NHe>l-lO*+`b%E
z)mmTN-+hM1_T>&v1iyt3DKNh4f62#t$-suNyp2Gz7td3V0<%~?wk%s^+cGdxy-mHA
z2<K9%i>)j^AIS~>$+m6r7TSquaB;_u#Xu}^dt^RN5ts#F!znYT)<l<&<VL5(!oweN
ze@>MR<pr+u>g|5r?aM#^=<aJg9eYVM;odeL3oNYfSp2vzIh!sx<ogY03+dUUZ=Y%I
z)7!Fa3OVjJ=z}3pt8Kb;dZbC;jx6^DB)B&D`~@k+0HEt-W-?DL5&==f4-)<ax-<-x
z*?|6{Jqps>45X&Txahj`m0_h*1&}U40wr8}>@a*qXw^Oe@eFW3W;i2CgjuUMU_aLp
zZxWSS8q5;W!SSPU4XLf@x;MyDB-qKp3xzHrB#4`cbO??=kDJkX^kUlh-C8h0IJ!Z?
zcY!)!UrOQ|wykL?dvRdXjE0HNAdy+Qlzkzlx=Xz#NojOWWwWn*XX*T;GfRy&t42Li
zCOwI{O1C4VkO~??3ZUOm&m#woX{OS~XU}V6=XI{Toov<-XF-CT!PEidTst?%c#Vau
zU^o>lwMhZ}4D3hv@T|+Ul{Nh|$xM~Sr7^t;iO(97F@HjEAQrj5unmDN{Sk7;>(C4K
zpie#1^E}Brl)~209?flCF~N}-RvJw#_L?X&N$GN#+k$PT$Ayf;G&L=-IYg+sX!C5~
z0FgIvG@$8-pd$Qr+-FE7tm)BU(|KYI<d8*)Op@*!b)b{hUNte?bhTk1JNT0;uDF8A
zuM$CCS4j-j200&dxxq6Hsxt4RzN#()i!|2SW8@2x#v+Jw8OGTwU>gV&fKmtig;(0%
zFaoAYNQv*b@~8Je#3$tMk#cK-1e89XQw&E)XKt?TGR#P%q8doykeT^dg0%a|047GR
zc}a&j6{%2wLKknBBIX~)5wX27sfEDh1FtghSD~uOf8z{%md%Fm`CJMQbNx5{X6>KU
zL=&O*uVR4InrAVNs|hn6t2^Ng(GXLo=`XVV3mjPFrIBsRk40~e-r}Nl%y@Nl77XI@
zagYFIo=BMHcJeH_8`ML?jm)1`uWVJwVlEt<Z0F_XRU}nFKa{`UUIBmf)VHoW4yhQ4
zKFMYWZ{xlOS%kl+o{A1xzz6O@9+Pet-YtJ}7v^4vKj*wkE`&iJvULE5FtRkkkkQlb
zTmpObmx?PGJ8MLU;D0YxmdMKdf{mG(NVw<^g?%6@n-jeqoi>=GT)Q(BGtB7f{5)na
zV`1S?7r7*Q^OaW)2uBgfWv&s8CHt3Na;^Fy;x`FcsGb#Fn4gnuV4cp6`8rjS(9a{j
zP&z#|xqOIJZOA2l-c4#397g`!0vF>6c5|A!qnJmR_v62QYlf<pNl{^CT|T3h7_me!
z;!X8&lHKD@3>P35UaMN89$so<qE@xM$waI`Hg~EpP#-dG+5Vu{XLj0GpXhY(?gW|3
zRFNb%BIApYn=HB9bpAO}{P?v9WAJ55#hl>zBTjA^V^l5}zHZlU!`QX!WH^{(!*b4%
z==w(=F-XZhilI4%-Rap#5lfCVKkuU%wwAB3TDsZUI?|b9JK?2zEHIlzA;JNOtzS>>
z(TT#Q0p~E#<n>XMwjbGh?5ese7>Ev5E<H9F7{=k$exFrBIJS)W`9rr7{OJ&!gy+>C
zeho!1saGmlwABMfx4Z9>`FVq*E|CsjiB%A#zU9Zp<nzl}Pd~rN@jKgXid)Pdx~jL{
zfIK4eW;SPLRi7L-5KFMsR@eQK4fpNrOd7@{Nxmm1QI=J?>y*lMvMJN_7D>yD^Gl3>
zYLGqp88u{#NN#|qg7zF`9o4<f>uXF+&vnPjbdVOIiJJ~Gk?ZBurabgEX?Q&gpsO6o
zaWE`C;$ekd@o~4VNc(dnedLl@)SHZ)in7BcAe3k$gkRX1&yDSx1>(07h1YMbx@OP9
z+bwkVNF+6UE2c;pKq0($#Vc_=)@ztkAp>4jEY|9zwz;AR=?YiDT^GD&BVqcfpP28o
z7qGvpT_ogdCn)6=7cfX1_e$ciYu6FL_g^zooh2I0{8!N`c=k}MdCBxlG!_X@=mHOz
z4N3b|1Ry;jzQ^gALlYBWj!Wgera@Xm@DUW5{8AoC*;x3Z&^)gvhyCh%w7ukts0h`Q
zDD?AY{0?pGW<L_fGFVL5Y#0NdA&u(QZGO&n_<7gq)2Ht|edNQPBmC^YhOu$&v!3;=
z|8er<$>FC@o_x3R{5=kf4H5%!Umtl#zNqdZmNo^tVh8!sZ*nbH!qm{gr61|N6=&3q
z8u=zWSQlwz+>PxHRv^fpj0g8jdL6x;-o;jAX*GUD<QBbq=FFKhgww~L4oJoDMZJMw
zV0L1LvNlBT5M}oyG*AB<*4Ni9VuKn46L^D9Bc93rPsuv<46NPowfNJaCEnqekSu(+
zLRnF7f;(2e4u2qRrB%RW6r7y`8t46C4qJ&GybX30I!ZW|^{g9ixB;+<UFwjA(QJ4_
z;n*uD%V0VKCu1a-te9;6Lth~1|C9uKejSGzk(TfV&!c~iUF89==j8Sn=<zCJ77B>F
zwNK^%bUJaC@Sy=9E?U5lunPAhn!79wENw@l)|0d=ElYJL`KG0BLj$I?gLzqa-5Z~&
z?8@acvpCVoP2LNKveAh5pHaiDRHNBymu(W(B}BRlZHTix2tbE;$CY*)Cy6)nmQb-&
zD$vAXbteOvmrJ(W^9$go#8!K+=}jb-Q4hT;@YH4l5sq}l(a4?{rZe0DyU2+Z*JIKL
zAAS(J8iuk?>xzs*AL-(bL?Da9NX7v*1!b5t2U+;@c(ut$z;C7-gtx;L_x3><5iT6b
z_>3<2(2#F;`POhMRrmS3{Z7YzPO#lxd*;7+L)ZFM+PaiDA)B(Rd#}B;*PU#&nypSU
zd8rXP`n2Wl;;jATt4`f;=GIfEF5eGUFmUkj%kQ3FUhd!a6!8VZ3pRM>1XiU@5G8kd
z?t$aEkLKnamxgzq0ADk(NsK1uB^lDPlx6t#dZW!ftp_aA*Meqqjichp(Y=mwM$-Gc
zq><@C6SSEvQb|_?J&r<)@2Q8y8dztL3ZFC2Y9LN+oRdR6B1^+-@t)0eyis3tL*)pX
zxB=JcWPbAQMpij#27fqLNv2S7klIOWl3^^w%QZO1JqTabn6(q6E7_DV(0$WLQVk{%
z$Gqx`{MyBUI{*5%x4rFb<`ODWS)o_6{I;b6NeaVom^!tXqdBq%BT<tC&~G+HH;Cqz
zI7mfbhbe&cfPM^*4sHK!+Ws9nuRzXICzkb2&+9zD;rXEFk34_P+-|E?^(1v#-Kk!y
z-cB^fx70ryA$mu~ln78QQIUnGFuxd8O=NO+9ZSd}))Pt{(SGSgM0PA77PaBgj}WH$
zp#LzXB-y%P+c~P6u|=`cn>o0FS|#34Bp%Eu<WLl$Ql{nw09Ni`K~#`jZXG!Ybr0|^
zMs75Cp>Sd=?T@YqXrs4er$L?J=kKlPrT#z@Z^0i3vP0k4akWX&1Q<756e}MZVxz-&
zkr63o3f9EwDwlRI?>;ofcZh`G)%1CgRxAn~nn`qs@p}oY9Js+0;~R_*96yfSlx_NP
zdirr5fBxvXw;wn_)RsqbAB%IH<$f2%w9(g<rxv@-bkjl!l_pR3(ikpvC-j$e$H)a`
zF3D3aausQN0fBNg+E#Qb{Y<(!pc4c2zrYws+>jdnH(dX~Sf2;_U-?n<W%F6#xZ@ub
z5`LAs?1B@>qb57+Q_X=|X-=(^pz{%8gZi&iQ6huE4p4fD)L|6lrudS74j-WxwNWMb
zBHk858sdcM7ycY(wA*qH@TdvY2@xcSAp=N7yjT?Qk4C44C=JRx80&uOzTw9(sf$GD
zzCfA7p#V+`Ym-xu&v*w=SPdp4$?PE2#-!d(+5kfKxu}#4AHSdbjV(?>$K~VYm3B-w
zCy0j*x0=&Cc&oPCSkh>tb_2G9m^oU(jP$r4NW4<lUW^Rf4dg&M-F^EPP&+%F^=Hg(
zY|PDVY|I`(;vsK=x8<YmDS4N@8N!-<4!%0ncS7D<1*$nyy$$&%1QSEN#PEkjfB<8W
zN)uFMiXiYNDbh|IcA7Nn^?O?x8rSeA!5R5zVsDha7<EnZ<+4|=`h6|@_oD-2sjaQc
zmqE_Bj>eRpf5n#w2j$0i<$4F~M7BCTGd*2(NEW&SE;i;3LC=I|r{@^5&K*d(@AEw9
z`J(5)d%g)JT85j;;3TlQeo>&r5_Dxn^E!bHNy<PusX2y`%K5D7>&Rwiw#aOt^cTsr
zC+BGZidX_f<q-7Wcv@rRVOlc}9Jk{0Nch5<hzky8$`G@#EM#@@x4t|loJVvtNP~bk
z5Ov&O<&{CJJ$@A}xEuZ$87KV1ntEjTI94OGXO>b>2(_s~I%~vNf!~x%rSjYXEGyaM
zgumG#C==ltLwqEhS_Gs7<UAg8s9`E$6sJjHk;DUrp$XB9LJtM8(14)}KgHok4A9u`
z_p>{$-mRj;+itq{$-DO?htqaUFnfW(zlHOWcj-xd{}va#NtS*EMwv``oAvt9Xfm3O
z9v$#={5W=s(X;Se77l_asHe0ACXWib`5YGRO+SM#o`B<pm{W`?f5IUsm9V*^B%g?p
zUiRqlXS{EtUaf|2vRAACxg10u-WnqVe7eu{{3`XBM+k-y@<0f#@OYO(OUF8zIEpkN
zBog*8LNp{Ki;mDc@&CFKg&RvFmypie{>`8f7SLa`JDkOu-aDq8GQvcRaBnC3xUL+?
z@bgH+xkAJ4TJ>w2M=vkkoJee^i4V@q%uM(8@9#}d_4e&McGXqKe(?jRQ4~5YemZzX
zc5U=_&xAL_M_Y|QMX648;#=L&Y`*I=8ynrOG2Sw~KTG9?`AaTYSh)01JzI0?ufJq^
zdivPZ^$7K6UVrVi#Qc;>XU^=Bqdai;kv!%H-#dv!c8chY2e7XGh37|}f7Oz-o7Z08
zO5!s{O42G}ecQUQ+$Rv&mW7Wn+9A1AClxO>ng??A%0Lia7Mw}um+%=vWZ_Zn5z9<V
zTl7+dv<7D)?TN%H9FmV)Y&)%GbtJyW-ay>-7rQ|N<<{D|1*f{tg)eioQP7?8B<<#B
zRR(iVI;NfmDKmY6g!sh$sw8V(KPXH5@87r}Z`;7;O_Hg&N%20CF&k=5onRXH0#V#M
zxPK^kY9_qox1S_R4%@m>2pL|AVoSj`D6<!5kZgU&_%a!SK(<|mkZpaLILyVXud`r+
zDvWbY6~B%Li?bH{LfVM&+ck<t97CJpJB?<gUUo6&^6HqNbe}>I>>~QsT)?onK2y0O
zPIDw;A5MpxufP6!fzDzl;&DxON2OUv(JkEm>7y%{qOd*o0yrq$E7Up9xRq0Vw=Am+
z<yg|B2F0*A8i$tF3=V_)dXeX4Q2+ZqpM~zXMc#x<3kF~M<_T>3bc%(PCUTw3bs^VF
z4knLgdlX;f%1}smOk<Jg#Ezjw9;c1QC@_C_`isX1HX>sbYS2fY=Qu}l7Dza=&=t9|
zwmLTDn&LGaUy(D#kHA<{KZqL>M*O+BB&C{q=B*ba@x!y`f*{B6tR|!=t}&k^7fx6a
zBotByM34z#Bu*met7h>@lBH;(N?d%<J3BG@c~a7DvWf6)ZT?9A25~7q2e)CqAm);2
zw18jee_^9WRI&OfH`S{7#S4-3pLWpN8X-{~xKE;^tOk*txOPdWv$_;B$|OCCKgVCK
zW3)Q)5)qn=m%Jp2G*R+@Sox>y_eg@1M717|_Z-7t4#eX%LbZuI)5+ij5F|AWuJT+3
zeS!T7gA{Hn%{@}lWsW0lx*dpxLt+FN0Gdwd`A@U!&UKFv1dNP}6*P&zWTIu#%__LA
z4Cv`pGD=R^M)OGs47_oTN^-clC#SvZ!IRSx(S9&sm&G)`bCz@$6y2<pFW*~l7%yGS
z=dO~J6BsY@x#<-k9t6sVqch|JhpEmkqMq>jg{qpckC+6&cGvOZA|j@-t*6uVP-p{F
zV5fcX)wlqn*eA4&;t^s<C5P;DuphbN^*E|Wh}tNTiLLkWD!iOnDa7F*z6-dCG?lB1
zX)-7y8qGr*L3^U8w90WbmPjNtitHVYP&tO1KdzpKVBY>eXhI+qE+jGSgi~Z&!0#NZ
zUT&zPi)0UBtk{ugsU<Q$cuz02I>Bld)~uFM1f7>Pz1VprVym%`L0r6PjH25PDE*Ac
zj5Tf*jW!CH*l{`6v=n^eT9Y)pQ(pWKf>2BoJOFhFwJHqxuGdj%Y84a8QYn#{kSBM2
z55Ehx>p^lqT&XL~Gx6lrgntMg*yRvo9E~*EvfzSgB6f>CNDh{EmjAA;*=>0t`XsZ?
zv=G%~P76qXWnkR8Z{NPk&Rv(gu1;THlH&c`hMNEvomiWnFDTNO8`<H*)@Va<_&wR6
zrmf-E`H^M)Pu2EMO)I6H!Ffm0>^*+{rW3>rlR|z$b~^dTuI0vw`LL(VVwZdqcF7H}
zInVUG0x9{s(94y9_`c-teB-$9K3X5qLbu_>=(}YK67JsN)#YT@R7T5Ykdg53v&|73
zk|X5Q9@h}3<z%A>&ZB#1@RC-ZxgC9=2P=&##Fks?8BE_uB`8w#$;`z>z#i!@`3N4t
z(#N`U-#uTRrX%-3FSq4F>Lhq}(Wb~&nIeB$lxpA1!5A4$QaQ*{G)AWCU{L3cxB76T
zxhGxQTN34~*)&5zsV0G)Kjc%5`uj<A6pA-U^A=QOg~MRN#3zVT1&Exbkgjb#IJ<YQ
zQBUCYh?4M%s}rw6S~Pz!YWq{v7l8#z2Ae<trvR2a6^<msR0Du3o5^B<&@7DH;RI&C
zLWDd=fnf3G0Ge1xS8)B?1i0Z!LI^j$!g?bgCR=>A)2R^?Ol7OW+$@usYbN3;q3yBN
zwYgc)Y^zVM7xKZUBT`f7BUr9fs>JzNH|(UHLZP`^2tQH@DiD<7UnOR~koV&vOp{$6
z)19q8yXZL6z_~?JNC1{aiH-%N2D>N^fJ|smgbreJ!Vw@o)YkQdBya)$NE%I$ccH#7
zRoq*x+DnN-!9t9PvE4Uld1^YdJ3=!#WiKur;%zo1oxBLo2+fZm3tv6+$c4Dl-WzYc
z@!X9kZ_k}nQ}^?8=wfor@VC_T@L~BoNt^+8ujr#+H<r{#(I~G&u6Qw0#l2uz-buE~
zPm{0m_n9+)<@pECKcl8bR1quKoEm^0)tR8hGKz1B{}RmC#;zp)h0<VTw<-3GNGzm7
z;3MPzOJYhyypaDwe-K7T|4CmCzeD}(3)zCgBX@{k(Zz8kcflG4EN*FlQ@YQAY&d@m
zhx%wt5rkQ^-FEG8l*ZACtSn(PC_gEA4#DQ>Lpxkv&OknK#KtKbdu)SE$npKm=)?|-
z`tn;_kb)d}d69Lvuntd<60sur===iAM%gvs3i8D($)gaBz(@AU8qAANchTqwFIACM
z<Ph6;mIR8vvtAnu_$nrb6)}<w_**`|_v!2<-#mK;`~`=15W*rqO7cJ<aIC6juh~O~
zG2G1u>AmL0&7TAQmJKQ5Jgz);rG<-rzxCq8vkha1ar3d~2A=)wXRp1-`yxTPUiRkR
zt#@j}L~n&eWIL~z5-AEz>1g8VHq!DhoK$zoai_0uU;nfhV6rgOb$291&CWIn=TDP%
zcyl0*#7uKu{oys&Tw{78#!Wbe#WaOU)-+B_s>kawV|j0+o{)Jh*(#wAkOq?KUI#S8
zypbB(<{usA=Qv5#dV5w@R+PF4bCPkLv3&hg78Vw;WyLSK5=_ozI}yp$d-pv>eHn;M
zICS;ZS08`!QHzMzL#2d*q@95?-}2-a8!vp}3wP~=QV`HZ(ltY^qz_$@&1UzUm^pT;
z&ClT{V?4Mzx&BW0>~%NFfj8brts^XI*B{FgB)97T8EA}WoIZUT-u|vDxG9rfWS10t
z=0otAtYm}`-<R-Pk;cck<HVwEx+2XOHzE5ZY@n$Qee;{&?BoSAmGAtOEIj2yq!<wD
z8@)&3U3-tHC*%I>{B;|zD4x-_`oOKj-+`(`UOztWMF3{q_=P`5jCs4xfiWp4+L6at
zWN~?<7W{=TEe#GB@v<Te2$f;`9=fPpS?cZ1=T03s&{VI<6rXd|RgF}karEdNv7EKD
zyHKC+^jD(kiZ^`g;ls^hrMY+G>em(uyO(;Eva%))9K7N4#Z>d?RnIA9?l^X=@o(+9
z`r_hFJD-lOuDqdAY+iokX(8{`o10B}ZqsAah->O)L`g3YA?;Cm{<gKH8pk6Pg8Z%n
z9WFrTLup(TX4$;rtk8_94rEezu84J}Y(~A%Du$z8&iDweE-b9pD{z3hg<aE=>z{7b
zmsfYr%<NoUuC>(k?n7&fi))8=PtP<Ojm72l+1d5w#YPk0u$<SfR-5XopZ@fxB)syI
zC(1~wnQ1lrNIXZmXhjy#Qw`A-4AmGuFsE|E?~zvyB!kKfzemo3vH(ow9etpA9x;9q
z`F6sy4C?;4=Zr`qkWRPZ-T$Pa*WELgc4aRrn}}O3T#7N%`wy-gC9kp2J+wYM7t2*A
zoSZW21a29P=CXPzI4px<H$D8I5velsqSc6Tt%_DfMdIIe=eJ&CM9Q+Y95MblnL5;^
zf*vK3kZp6hCSJ%&WdiFXM5eh+0?5$2@nT1AlMCJ^ORtbKUm;5m$kGF{^c~sz9r81I
z9{nm~_H){IoYuKprob8xJiDoYeOPm)(_{y_4eZlPsJ-?!&o_ut_)CzMKO#~AuenOY
zl^SYFb>U09)d6)_U88Pb<THkV_dD*_XiXRc8{rGv_Kh}<4l$X%Sg=L`XrnJ7-)wyB
z*JJmMJl>;2I35(IHls3fw~LxG?-AuhSd>L!O7yaJud<GIqIKqu1?LjEQCOugNJc$M
z;OLe<_v#Y#$5WX&gT#QBFf}*BpN{%fALS2|iZL7`DF)8JfW*`Bbba@0bkWg9Nh83%
z$G+TXpIC)QJI)}Jd8<s4s<-k!7(mtc029ntd9mK|hkDCF2ztf)WLfrpg9oZFFu@x7
z-#xN=<JRhpvidq%9lk>_+6QIvAm-Ob=r_ltvE#;jb-IEH%o0U|Z=3=fxW&b|Pwp5}
z^~Q+-%>?vjY(M~e64BTT<$~&J`9FNW{O|w8UzUISw}1Of>Q%#E9R0mfw#(0R<w3sV
zE{8%Nm$i?N*Iq7bU3s!&Y^rA`WU(EMMuX83oR6etg60g)=`GW22}HYWi3F>9dmGqH
zB&e=rW&6+YPa8i2jsE-8)asmn)x5e5lL0&cAO{Q=kQ(|ll5+<17J^t(K#AlYhKEt2
z=0xK|jhVW-YIs)t>hSE%H}n4`@W89FR{u!NtgpYU9;`nQdJF%r32oLNXncsrr)5Lf
zH=(^=k4OERI)}$|S&(Bgj>Tf&8hT{liPo54D2ig3V6cvKb5TVYpW+U%5q~f;j-xU(
z5mVox&J9UDKa1n&EFySbeK~KKx#6cu5>rOV8sGf?hWj<%sLpZt<Ro4uBRBk{WCc-&
zbH?z`Fd>vnIEbmmR4PNh9=|TJBOWih?~9=o;*%X~vm^SdHM&tu0#7Z^tP$z9>>s@e
zGfy){mm;G$%l6Uv96wUPw9Oz*Vg@;y8`kSfyQilon$uG|2jr$JmDlR^dXX&8s9wlA
zwW-PJ4Kg+v(=(fwE_OThiHYu_I1}b$Soaa}=t84bU*e@gevyf+bg@|8)oJspNy(e?
z{2n>KjCO0W+iDq@Xr`uF52J3FC@ewPg|8$TW+pp(H{nOd)YS4Uijmo<Hz4genGg{I
z!6gAsqlPecLVgRx9v7rKjSn`zK$k;<f17-bpV1jiw;)ntRT0$G_7<WYw#-q|Hmtck
zOTOKDu+nOJWN535=5WogUAdD?*crx(1W|$fFgl%G%XN%FXiVt_wX~^+B(e=niX9J#
z875GEyfxgYWPC`c()~sQ7(jpdQuUec!tp*?C!-Nb(-4WKcDHD)QmJ2RP85n{b4rsN
ztX%ioiTG3@mn}?9&os%vht=4eE*9s=-oWL{<+-_q!?Oh3$sEAGs%=jtWTqF>ATBp{
z6&dkZ2?3Xnv<7mVxKP~CG1)jWa|+0xNub+=R?_XJEl%zd+Z#v~Z8FnJ8_MYEYV}^0
zvij;`TWB}cOEypLURpwqDp#MkxF#Z1g=7u2xA$i3gDEd4yZ-X!hq1nx{r=^*_@Yt3
zv1FUT{+J^<I8i8m0}HfdWye(s5RVG9$a4@wTGW@%bqXl{IE=iuDP?WdjT;0dSC*D`
z@9f=CExL<ylasaK`&HhX+;7kIFJJDfm6gMn_m_>=qS)f?L_xt@8j41X=m1d$8C2Ns
zqgn^!3yV}Lorohm2a3fM=_(8ZLqHZAmrT)-o$nlS(7ec}LT$8O1{*{c)^5l1-=a<l
z7v1_c;oN9b>KvYdt8Tao*Uo{+(WhQ}?Ng6N_jkJwVFz9*s{0>$==N@{`}ME$@Al!>
zIdnt!u_wrMl{ov3WZ)dZV5Rk?6KQ#ov>+Q|P}G}rXO0pDjyLN0@TntcYeuhk<gojF
zSk<81Nbl_eM!$Ta{VRy=5PO+=fhe%?-tv(n%W{hQ9RfCa>7}@(#@|WmaPHj;5_0@K
zZYQya`oZ;k1e>f;#1c#*?lcP(vZEUfp1jz1vBBRU0IWW5Tj9Cpk@9)S@S~nLzVVGG
zqmkmtdv72kD`>r+J^F{nLG@|;2Osc!&hvYoKk@tx8h!wX<_vMDN7O6STh&L^SJa=V
zzf(UkLPpJ4H1-=OL}Im}gZv>m+8DV=2}A42xWxp(hw;lgp1={U)q6CRka0g+lQx$*
zARn>E@{MexDUEEC`GCz$rj=Y%)PT`eQXt7%TP$guC4X`(X=w&xOpy7BSztvjV7EK$
z6A4P+g*%gEM{huRkSgolMW2g-m%}aFaml+roMneM!Cyh>E7!Gb=J@zh@~Ygb=OV22
zJ4sMcCksRb8=Q8T$b~88Vd)4A0pg&HKtm+|B<IQl>85atXDs#Q9e4x&1WuRbX#NYw
z;*F#g;8c!FW%bQFoX<GrEp&QJIhlvyc}G-=r7lk`uOef*lV%RdF86|2fjR1xkySH|
z_lWn`*VHyhX~-3bIfRZWAh#l`E6#aYaIe9BI-0}evOETx<&~u8+%}dguvy-;rTGba
z+*9SD=~AvW+92I-><Un!LcHlPhgcX3J4G?<B-R0w5)2v?5g@V+eM-oQ&mtofh7rpu
z#EL7Mo9mXZ;7m?r$v`IoZTK|836LG68MCNL5hK7a1~i5ra)v|=tO|9%52Y}W6yk^%
zpIahk86@~A#oqt^7(jKf9#0}T1R)EG>BGJW<TXH6X*1}zav`aY;gez!!|R~4egZv=
zypJd2hEX8-9F_=ld37XE-1y!HYakaTp~Lw5PU=^{=!q7LMX_mk$%iMj8PVa=ASFRS
zq2O6SsP&#rVpQbn)S>WsC$Rb(xLM<-l}y1aGhT9*8!;%m8HmLw{vqO`-2|ku&~Dcw
zz6^v|lB@)CP6~bsjpmA8Jdxr=@EX&rt4o+%j=t?}{heT`;mx}S!T$Q%0_ID<!Eq4q
zm~oZ|ih&GPSZ+h9oby}WJS8-u2Umv=lk7+=n-NUJa33r5Cs`>#>X79`#PG0}WWL{K
z&`8}|lJf$6RqA78@WN6W3QFB4VlJZ8n*cl$v26?giN6>lVN)DtMzuj;_kln%7^Vmb
z`JQ-3aGt>K0}Ks`=khZ?{8)_fHBaPb0Nc=<0beo<@>N7)<>!g9ILR?yQWd0e)zOex
zl`xi30yq?_BLm>?^{KEIbOrT+8Gm`={~XJ5j8rP`vxdNE1JX4PVg@x=arOZ`O>kj5
zK;W9HSF^b80Coj@5vQaPC@{h>hnUd(a*o(-Q&sBk%w}qJsTi5fkisMTVWbb+cA{``
zE6#}GyqLAZn^DA61=1NW*1L!xQGDc<j3KnCpdZjzn&E)cT7rgXIYJLYK><feY|KQd
z6pI&2kVwghNjt{KQ)-fLCh7BTX2?oq+BlFHopZHBrIgzcS)iVv#nGP9^>8Iwos&W4
z1^?wUGU;O8ilI>j1Ibj3cP1aIdeMZK_)8P(!%tFWBpRT23GgrUuHZ+-5{>Q?u;Nq{
zi4_uY^<%vMxW<tX7`J|VA4hR4FN%8~DQ_CYxy6tm?o={Yxw6-v8uzOAXx#oKa2OrA
zB4ktpjG%uRSPS$*Sn&U$>`mY$JIgx%de5mkr}n+-)V{BGzjc?o_jcdgxA!fbbSI&+
zla&xc5)eW_1g6CVBoGKl5cv~mal`=^GXDr7L~Ib8=<pHLfpOgaQJjy?=(r9eDpvo$
z&wHwF-wug7Rrgk%I_Evxd*1iipWh?OurP|I(#Z>5VbPkh2(5(Z3&DZ(X!4|f3hz9Q
zGk`t_v>CZUK<;nVdg8jXl>Y!5u39;9{IT!vpvE=Zg{k(@YPHdPi@m$?oO=NGVAyAY
zGMe%SN)^CPlo5>;3XNvJQ{8B{5(#)KmMn5;rCxlJ+670zc6t>k`JZ?}d4o$G(`77y
zQj|=rJVH*zb~v{3Kv*xc{&Wer66;q(60yXH?$AOU>w>t&-aDOUx&(Vnv>~>-UxZro
zPV97_*4bQJnXAfK&F|c}cdu#g-FxHY`*u|<_4_C{1iMLkZiSc!S^R4w{++m?Kfa^9
z%&~x1J*MJ%TLRop(4d;TvmkdbZ!a%nDX1<lZ(mwcPwYOcoc$3wtDL<Ez4sUUlDIiu
z{;Hh$-ID0=?sq)$$Rl3wBVw;z$ONl_Ks5-wIIkF{p%=+19W|bJa(x-(+=(t=Y$JE2
zh#EhH7xj&v_cAJ1q?qi0RA*szly%|l#>5Jb$Fw5OItkjrk_risargqUxd^)qVl9AZ
z<1j*q9;>(#7~wmL7oid>JF#@)X2AA`p>S27Rm44+1?s7?&>N_l*Bh~eQv{nu{ox2z
zo`^evh}`{xu{RF^c?{|CmCB_YRB1DU(EfD2(~)j2mpa`_2er{?)Vsf6HY-Mx^!Gx3
z>jyx`{VI{!CKEWLno?Kl7hlZ1^y)-R3OYwi=y+Hb7o!PZ04G|DBE!mGN+FJP0n#ts
zST>cFD;w(Ej(v2}?@2O9r00=TUqD88g%Si9u%(xHC^Gw{w*^vHz7ss4iS;xglc_5P
zJ^7YhT-Ud&f&KN#!J+}C(8&{nfnf{=Cwes<5}2-?uDT1=@4Q$z%CC}-az^|c!{M2m
z&TQ;4C?!9;qF%lGaB}$3pG8W=79={1gZt~@QmNG{mPkl^ArIc@HY$*xz8+;utt?-^
zGCd8xk89I+=}DE^fG?HYF!3O9Lj;_OrXv0@xpB+AMQ7lM1MBkbuBqcvi|+GjgDb7G
z6Yqqp#!7chI`{w3xnyM;=+wz<paRdTqzVO-;=sAN^m{JbSS7`>mM#<w;0xIJ*s(Rq
z=~wl}+S;K5Yio_BQnlLJ+R?Kcc<|TOZoCfE5p&PpGyj8GL%Fh<B*F%hSA4y(*y1#m
zJ)x_+wtxgj8LRP@uK^>yws!Ey+FHE^Ec$Tm#E~_LWEpLm>l-h*de0sKHM#B<0<%T$
z^hAiOc`cEAi>`H8djQco<y-JyM57-{=Z+UI-}E%V7%zYN>DfZ++_~jb`47p@{Hf)0
z=Te2)r=R{^e%;O1JX@De6@KjQyYGH^;R@NBXDjD6sRj6~`Um)e*ch(#c*X+t3)5%O
zbG7Gk_od18496SfTIHH|?tvU<dZ9iJo7la)_!eHxT=>+f;!5tylXv3C8~-?U^38Al
z7hsLvAv?Bmp;M;{EBPx=8nUDQkvnzrEpO5Hq%J<A_Nfcl>d$C@hC8ktE===cMiY3D
zmlCmtl5?Wp3@-RJZ@$M0n<cu@gdfU?mWEi_(3`XkoS)iCPSPOo8<{Ie93_^wI(G%~
zJ<+p)V1YUy`Ftji?1*HYR#cOpDdf|nR3XXbziqVI!(qE+Oui3D(99$tN4{Uf5sl0h
zL^gns#c|ye1VRNcBP}Zuix9Km^~Lb|qZ>qw7?@AEJY!!Swu%2~bMTgYw}u>xBbVf}
zB-YijZ7EES+LBa9OS!Q}%sEk_m_08{w?x-+dx6e!R;3@t5)Rs$+rzqlrO2g)&L<Og
z^?5x!Hf7)^f6kF$1uEdk=lRiv7Y4OEKbOm9b93(J9;_IqWl<Xrpp(cvar?1Ud4W7L
z(gTRsi$uclctnuZi1na}$f0UTbQ!Nq>J={(Otr1L{az1aWv|~={{fZBPYzuW-AqO1
z(K15m(t@OhV_-sgilDBrktQf#fF&USkf_5vz9_W@&fzIKz$~KsTx+!qriqZFQ}vqW
zSpSw0Cw-%RE8`}RNzulo=hX*C?^UlFy_ZlztY1rmefzW%GaO2MEEo<4TG^gBV=*+M
z!&I<BCu@>144z>iNc4sRZ!Yn6cNcf}w<km4(ck&~%}fX7KpOh(N|GYQV1F4D;zMC-
zXSCl_?5=-<P3qmq7#<~poxUKE__|}7j=@kapSNV7Y9NKNf#lNNPFhGl&F&U@Ks1q;
zMRMUSGNq(<x$l&gG$j^$(Ky$S1>*3jYV_)4s#ZZpSIt(t8O%DFkKt1B0puN{;9!Wl
zfDx3*G=s<@DJ%AFq%4bQp9oYr6j@f)MuxfA&g?-%h>@miywL{L;+%R6ue{kwx3{mk
z=I9rjt*yOEU47=7YqI#WNr5yY7$@Uoqtw?{S8`E;ahlomEOi+ph&EVxQS>8aCtnKI
zYlSizlNm88KM<fGQz{nqszL&dCaP_ViJh7vUc4DY^5<>=Z~vU<ePl^I<M}Fn!@ok)
zAx2r@rEfz??XiII!bI4C7p&4-Ogx^8OfuAsVOOt}b>lS*E;i7w(!ZjRh^JQS;5eEJ
z^5_W89<l|GpRD0zm)2;BL{2Y4z60;EXfLN(WhU!6Zx7j%fuZ-A9An&4+GxE85omH|
zxe_i}6J0s+WEXvy%MQ}zbi>7=+j!iRqscXj7gMgom6+uGD%I(9j^4PNvFu*{FxDBA
zQMy-|6kRgyJ8at)W3gpoXI5%Mj1%&IQd)^Ug<Mg#qK<~Z`S9_i*OeWY7JT%ce>4fH
zGGka0Y!3cXeP}Gu1{wK=I^Z7IRtNQ=4bFS{f$x9nsiz)%s;T!KABS4VlXEHiXSuWc
z)zy%aonjlimp=uC!>GW)xo|o94P4#$Qe<u8(sdIY#_eNiLKERar+{$g-h7xn-Z{Dd
z<Ig|Z4@>t<y6TT6hn6FFy@hdq=+evMj=lW2_dodHgHJv92Rr@DfeudkL-U>s$UGN3
zaZe52a|F2uRw5(-j!G0PW6dX;1!D1-_6+683mI}D1B6s8jxpP1S+>Yt9#wyU;JJ1t
zeZ_4+8mRkIM*o8;x2VVc-}i@q_=mVj1E*Tc%Uj1bHX5T}hZnnemE-RVM>l@Cf+ggU
z*pVZ59;meTv}c!&(z2nx@FnbEvyaS*v$xUQIHyrAckPYXfxpVQ_-oW1{RKtV3wUIb
znkU15f#EIq8YDHs@u*ZK5n|0{CggIHb+TUaEJaC1E|Cag@*>$Tab&cW@2>o6h>1bB
z?clMa?y}wo?>k|b{BBCSuA~rh1Z}mZN8~NPA=p|YY!C=1sTp|7>;)#L`;xOR@-MTS
zWuAf<qIF?BdUvdVb0o>QMVDl6@j-FyonK?~G4^q7Ax8X{mU7Q@h}4?hd5N*>vX_{7
z+*b%*hKv*Onnj9s>UF79$jL5?!6~1|HY95o=jYq8a5h<*pX=l)DU59v%&ka>(P-M0
zYA-uI)t^lmIsDyz64euwe{)H~*RauoR?8T655(-*{Sph*i@wH9-7l$hjM0zjM^+=2
zL!b$w*ubzPHKWN+zgO-D0*!nl9>epFR!iw661GyAeRJ~^O*Tu7^~S(XCes@S1gP-F
z^$o3t9JaC1XgT8R$m17~%Jwm&ES{16m*>E9;kiKp<*nJMrqi8f%3{dqRoY#liLVyQ
z)W+GRWuI@U)M?KSXAa$NSqD~ED8S$n5_S8*nc>|vVv445Q5C0Is;vM8kz7$9#pH43
z>ci-Al}*Fjs1Jt+-A*+3Rz|PI(Va~!%<tbnzmNcpEVXpt!2SaRnFAtMex67C>v-+=
zyT}J>RfxS@m@Okmu3N^>#AwfbVOUtjd&D~K3wJ)B6qOW?AuBpVwhGOcnLe@Z%d+Up
z(i7@i*yq=VcU*JeV8*G}8rQ7ErK(<`*zeEe3i;xRJsXAZFVD_(+J-t#PGoBI(nz7u
zoNKiLf!2c<j;8vUj=uKUIF5hnOJbt6(xq}!)l#`!W-St#HkX#KE0xQ!lXsMRz19LW
z+V6l}4~q1W8I1h-rFy&F_<Xlo%jA{OY@WP-%8dz`dIp3$#zrg`$7~5?MpQrF=b(M(
zp?sjma8GiZ@-K$64h3DsE2ArJa)(&xp?g`Pakx+EGp$-nk4Y~M;fSu$g}sp30d)#Q
zqm|QAiY6G{$i%CL6axE?H{N(-E%PYO>Uukj;1fci?bMMf-(l`ucH6$kYc5VtHP}nN
zi8ZPGU~RY;c9Ezpm$Q_O4Cce7;_>4|BV#2-o2k5Vonkk-t$yY;=-$Wh+ua9Z{6{>$
z$$gEzK5`G-of}*z%la9MY{2z%Pg-*lFOt3^86)l*8%!@PD!A4}k&0bR9oH4h{_e5#
zh)G$}fm$Y#)pU)F8oJ9Bqx95}pKO$o#wLuj?12KeoROg?duc}<<P*__1}+ooKqM^$
z4=&nyIW$Z|9~oJovoSkjDsQ(}2>A~5#4(f36pI<^Yy%fGGlS)-I~;ZdN)@k3*a-fu
zn8*#^b82<}ejKdS6I)#!3<}$DQ+uV~D;24N?Ijg>VU?0%<{z&gJ+iT$0&Ymf_HSQ%
z%~3B=>rYGe6+jkd6n_!t5e}Y6nzrprQaK&}lLWr97&h*qwmD%qhCfogrAy=iuqpjT
z+#_CzosUF%aJXzVot}5<j?b!fSGi#>HDKXjF$13`JOoQRKKe&+0!`1HIN0k2gO0O@
zOU2ZZ677}%4Q|bv0fUH2xu0J3dWpaVm?d!iU`ZX6WbOO7UmA@smiTs`ok&__Z*zf2
zS%}VDHQ}_-3&F$q9P?qpvkk($XdJG=QRtpLG57Jf8am^MN6X{LIM4%~cmy;6GJ?pJ
zV+y#GVUWqrLK=AQj0>K$xDzdo$Wf3cNLOfDE(((j07eKzquZ0XmS&6Mr`%~^&4>~V
zlgn=(Xf{qn@x&CUUjghYWfm9)#UHk2XRlnDnl4wUMla~O?WLt7hi{4odiZ?s$5Fwa
z${)CXhzi5v4{i-k57=RudZ~Fb&oWRTag(h{8LJ<mz%3~^)vn#d2N91IEbF?iAWIeq
zW$gb%s6ZvLR5Itpb&#+^C02cJ+{jUfhD=>tX}rjRm*@#1Y|x3An+p7`=kS@I$L{ZO
z1M`}oeu+Nj;~Sj#SG?jCA9_G7e)x4ys0*)n$!H||crJcdeOdhwJV-c@<vNe)%!cjC
zU()yPvysWdvaK$dH{7(ZTLP{w7ESspnOL-1D5jRf>147)k!_@c`Yne+tJwdV*B>wE
zk9CPerEF}8N+P~1-d-&2o5|IIq`A*Du6Jpqj(hP7{>2VbnLtp>1l0lTiw*)Lz+;=h
zp4_~>{n_pPmjVk$pTB|EXV0Gftma2<42=apy4mynJIC|64q)+cNNTA>d$3HJsl?$+
zG9fYjh-e}%iT=vabL6INfRhB6j;$_!F72c@$9oD`rfax!uT(b5za#&0#s3t+lSy>d
zq0pM)oB1J0)(4PFT~Q=@Y)K_fWNa&MpEi8)EI}G}wMLC?ZwWQHWL~<z$0*?d$uZi*
z$eX@=!SKJzY-f&<@foax)AP5Wnwa)|NJf<p(!j)CTgOnENciiyV5y|>;Dk@Rd}tdR
z*&XEUPjcI2>R1vq;JC45u2p(xI!VGG-hY=P%d&2zqwSbLvNOb-KmnPkNQg2i<#?L%
zuGlj1w3$f@GZ;W$M{bPIp&a*0svxD1;7#7WdvCa5?_RH@%Ti*jkXkv4o4QU39nh0`
zIscWSb|5>%8(xaMC;pOs#Np{}Q1ouEvT!vwEhDJuaV7{*Qz(=)lZl+S9+$&W-##Fv
z3duk?7)T}@IcdD^ZR8yMv|*WsQfKZ#W@{!5z3WPP&w{R_5shTJ2JYFTQWZzp4j$ha
z!_)N@UVx{6k^HuO^ra`IX9qlsJGX@dEyJrBKsu_rp(P+>ZJaiXur7&mA4_wL9NA-0
zf@5U?fk5vpQ*FQ@WTFXF3p>7H-?3}gH%My)<8DX*B6-Wk^757IOHQSNStxEKGp(EU
zY!IQ>U0<8?_J~VUS3(z(x%sV9p_|Q`vCQ23aDE!63vqA%Plp)k#(-D53BXavj}M2o
zn?Rfur%TkH8GUhfs#i`OId)4=I7(f`XJ=PtO1K=uiB@~6T9Rn6jIc9X+dL$8?OEb<
zK8wF<mT2iQT96(fGST#;x{Ofku{7jX=>^Be3gQkqS)Fw>`FBNwu?QsV)lW&K245mn
z=q%ROH%{%={Ex2<8=t$-Avt2|^!C&gP?l5MC#LsQ=jPTn2aA<*xw1Ie+zU+Xx0MFV
zo4Nf1hx^z7cWc|N_V)dEgmDKRHjSyNeflt4jfFx%@2n4ld#b#wWgtIvR&bsC<U$ub
z7}DC1f(*n;>#o|6Z?}DI$*s`UUxhB%>Mqa%9=Yw>Z+`Qe&WEnKVe~tyH~O8qe;h%+
zzWL^V{0%}rzIpA3eyVfZ+urlJ&wcK{mN%{d2;kXuJ?5l#^IxJTyu<Tj;>Q)*K1qYt
zD&8bgR@A-mGV+YTn@W<i%uu{}5-z35JKuVM@+}r4lnlJL@{k0)V{+Wx%dQ%!gS<2=
zmc4{ZcAD+9>>|VwvO36+7_j@dlTrTzUBjzdWUTwz-jcTsZ)CdRj`tHA!Vtm*Z{ya%
z$Vu)gE?tBTqvexb^auNS)h`&uLZN8<g7S`@;~4z?h#XHEocGn9_IhhI`L~P?Oj!hu
zy?hI`^bs8q@V(lg_Lke|>6*{?d$+YDL#K7y?=hTw+g|Us`w3ALUTC}(oN=(HiQi?0
zYHldue==4jk%o@bdYBm6T&K8vx^J!3=sg&)((ynjNZ0db$(3!G>gaUR%`)kAJ#Ds%
zJ%kf`Z$L*R3;!>}AcuycIJ<9<4&kF%O(hWyLXnqQplFNRpA_awA&JyWU`9Aa`eKDh
zg0|2z=$g}xRH6jAgd%E4$k7d6b-@S3ED}R2lP5$|X<xQJcu^G#RVtb&c0~cKq%-VJ
z?90qvP)!>Ie8e1T^BDDH5;V0Y#x7%3ii%#UcNu5SV+9|_Ot=hGWccxfza*XMj$nSv
zn;sKx;Y#?za%H1BLNUA}M@Z`Ye=nPwyQb+m@IBja7#wNm^6J0S@C19bcawtM%b0s|
z>N_W77m2U+ybL>ck=&R4o)c&-%pu|X638gFZi)RIlPb-?HK&&{!qP}`?1Zb6*GF?{
z$PSW)AeWx`Mjii2sI%D#S@i?0K<j`yN#y(S<7b2V<29e*^|B9Uf9~h9AN<VE{_JP=
zZEbCJmX|x@&v3oYwHb`P-zMhqXSlvoqEiX))$!dzBSpT@%+$^@TC~rA9`q50$RN@R
z)mTBE_~hv0$<U+WR8B3-A3ZWNlQE4!r?_^o*KC+Zv6(@)Pdbf8PHp8oGN@9SCdD9%
zFFn0oZ*ImYJ+{)V)hi_|?7qaWl$WkR|HisusAIWqE1hoVgD8kdexywotTF-hl|m|G
z2a#p>8EU>;JQ{7nu7bgQq20n&%xxm0)xb+UuYN`6+Vpr9y4pw=Hh?7<hvHDj-U#pL
zT6$h-JCws+V-JuP()aQVG?nF>TUKq7Qh{XWHLZTi$xijx*Jo!5ge~M}X4i?bQ6C}E
z@XaTRx7<=ZVf?#mR7NMU{yv}6XCJ<Mh-^+UTV^=C`(^9v;0Ty&!ymo=`s?5J)N%GG
z9RK9G8yG(YXmAG_oFf(%S$X(k7sGnSjALuzaOKO0tnWKpz3;y2S@ZpO^o8r{*E2Y4
zpZtxpwfpX?o&D7(UjA}c-Zl8JY`V*%F8;&CUo&j=3uGT@9|4AOWGQ*p7DP!#t0p+2
zvGN;IMCXWHDlRz(i9z&YNnMq<o?2ZDb4neNN&=8v=J5O%<{^+es?ld0p%6?%-Mdob
zXjX0IUeyRiVt)q({R}!N^b~)`<B#L>U=efoXN=xdzo4$_NqJpwu6LT?_8!kQ1W)`n
zJh6vwd!I+5sI;F!O93L>G@9sOn)-3^L$M}~m2q1#`h~`3MAnvvt^-qs0tcm6tFJ-q
zE0x7cu^5-ajqzf!vQVwS06NLUrU;OmiDYN=GvtO&{kOTr!BlT~dHMq%=k=CGt3@(n
zB$5*h=0d*JY8*UxU@Q?HIC#y*##x6_9R5Hp-w60qXEzAS_GoN<SC7c!C*L9?<x0<W
zp4&ilg)c}HG-5KvUN4z&>H;H`ksK%?X%m%Tcg~7bRn??1Gg*-F1I=+JzjrotpSM9>
zh=h})4<rS%ET!({8$hqXt2Q?uAWRck@Lr!9{S$zs$3v^Ds}F7e)|Yu*OT76*tJmIn
zr+VG!1M1$<2avBPd-LtClRZxk1}Bwo^Z_~2KOvs9Pjq<wh|Hwpm;d}j`RURrw{KdK
zC7II36)~`&MQD`(ZGG%I<UzV`r^CjyG}5$x{JAvPX&}u!PoB9N5!W`)6pjSKjisdx
z(C`xB)ahKnZx9Sa$c58tEjCG{4}`LXJV~&Cd+$-_wbZ+|)=K)XK1#fwVNR3De8tL<
zIUsRxB0A-A-8AO`Ed)=?pJW~x2Dt@gp0miU?!BbR1VAeiZi<yjTV2ONY51Xdtg`-l
zW2tPHiFLZN*;ST1asa}nVfV7+8gBLMmGz=6$*||mw-ykF|Ex@aTZm~R9ukFv_+8^y
zUMMtY8#)SXT-m_|WMWrQ2Un?^NnWzg2r~9?UxMfpjoR^mKN`)$9|H(M-eMKUD0P9=
zbR;r0MLZNyq(sbwG4~yQvGA$SgU^6N$e_nbb1Rni8)mmVeGPPAPav4m0nnIqm<O>u
z&?{uQq;b7Vu8i<l1Nwdeef|QK;a&j^a64zxJ!12tBgS1Z>7=nnBpQ=!)k6Qco5r2x
zc9lDtx-@Ygkp#87f);`O>PKxqwK`HLGhUn0-ldiGZYP~;w=lf>jbJ7#8C!${dWjDX
z=c9xn^nmJ%N}`J4b+Xw)A|vS8*t+QFPob!iAX-91jmAKVp)9NN{V#6OACLfEVJoZP
z%Gav1bJGW#P37AM`j3Ii8YQwBUEU}bogNL$nc0<kGz@4lmB|UJ20@PKLG#*!2T4kC
zoIKr=2HiiD)x6P!@_$Y}L*E6UI=4e>aMZZLrDOe443^8?tgR&ghM(JWqM>)BS20~O
zx!gXZn|67Y*+jQWr|M?N{VZdGRq5gk7!zhagn@h0`+$;Y??515SQu0*V)Wb#bVaaI
zyLw^4G*_GR3-b%jK3H)n=Y9-isT_%pzHqBv2OJgTjG|NP(UYow)v?_4Oz-<k<-MRG
zs$-9=4@o3j-&k181Uv1Ojeg$<IvHZgNu@fr*_L>a_WbH_Hq5gtheJLqfo(gIO$2he
zMkr9sWT|+JnQmdByKBzo!HRe@edJEU7eMJzu3cKZ2^x<?k36QJ?uJ$5PkeD*Ax6S(
zB=l9x!^=!r-Mh%~{FI&DK69aH1SVD1xNb7Up%(<~8GWX1s7hryowA7&>kwj)N>!_b
zC0Ht10Eff?FUp`akFrTLz{T2_UuZlDmQ>JG*fO%z&ka*14%|yBe~_;J!k9gyZ*^wp
zYIOtfABz#$t~)siC2qCKq0nG9Rs{T~(YksLzh#Q7+)|@aZZ>~{ekHO95#JYzB%_=U
zn{p~&sUY+ilw6bf8@TwJR9OF%=V66D!~jL`V4UeUH$HyzTk>L<&+c1POZT0DElN-C
zCiRnTm#-B=$GDXoRd?*tK#cpl-soFhb{FQt2o~{Se6aC}#crbgVElG>>*C6sT&`Ba
zv>GODb`HD4hcMct7t=UE^(m#bdvwy`#y4QAzp*F`jS<giV9!R1!iZvfiRZFIWu7Ng
z5$!daYD`TvQc<vHL`t%(a)>+<aILTgi{qZ!?#a4oP$-7LBI5X=ArNt2ESX4y5$q<S
zl8}&&gYRh}bCGL6Z3n8$S`F}QFs1vVi6R^vBUF~Ok#MA#5YK=e2qyro_QIk#hwV?;
z-niFC_D6_mDY5}qP2!s`lkNAj86QyG+FZ;QD*$&4`e<$^{H!GtVhFzooQb%O(PR;D
zRW4krH&MhQNluwcP!2m4j)!p5#v@67kn*YW<cWY@DYwJfK!q((!I-kLaf@69)(~V*
zY?dMfgGhXW4EQv0KKO{w5M`Z47NNNUU`i4MD`gXjB$8PJ#gu$W8}}<&6c%0%&=V|M
zZitHAZYgS9!iWVp@<KM|1Gt+Vj79T6&f_7LYZ6B-$bBU1*ggP!xF3S6FY*1n2Lxtl
zNWHEjxDrSy*(IboXrt?9Goiraf$b(u;$WAduA^Bert+qx$J@?i*coT;I27Smk50zd
zKq_s@dpt6;8OGkFaVMkCof4>idUDw83KL*<Oolglpr&MCI1d+A#zVb3zDV)OH#;Jl
zio88J7?(R4*m~$|LBySV<BJhy;9eMes&k_Y5}Q|$?C65pcE7!(PcRc?DuDSOjFMLa
zmMMs)1X)Fcq)Ca)017X;8G=Qmj4V~L7$NjI|3<*ehyaS76~07(bd{152_zV$7=b{g
zwJ1zR+J>|@%?KDHybM1Mw}ehQ@)DwBgc%HYx~OES{rcXB8H3CrtVCo#;&Z$fsW%Lw
zutB^F&ps4xF&%BvjU`_Mps0Wy#WzMhQ^~86^5|iU39Qa@o0r}0=!>8TGgr7DCIA%z
z;oKw`@qu+lGDlFMgc8sbp%AwhCXY+*Rd<2q4@DB3yAvZ=En<ga9rB73WLirWl5T}V
z4DTGx13<O`zk?pega9j$7OeKESiTx2_lL}z0EHHEBsDRYOsdw~2B|bOXD3#0Wqfc^
zBvkn%B9t$l4pW6|ljq^eW6!B?s83SAXOoeRp;eC_83*$0MLu(5Y6L}e*Bf7t%UZ`y
z02yHF+392RtJm+@V;Fn(Trb~hBWTYkBG*sO_wiAsY9QYmg~Bn;ZjU})AyAr4z4l;!
zenEXAxKW(!C*Rj@Mq-15Xds4DK`@I{$}h=JPYonfc=Ut$X0t1sl5<CoB1d8^@F7=z
zUdu+W@%%gTS$+&ubPw}FVp;ecHi$^=GFiXplhKa#6(0XRpTt;Tcz~gQ&nN7{MtSah
z?`P9N9}pEU!FFxC77bj?5CRB=EFs&l8M%&1`gYRKoo?i}aVlpssmg3Jva}hpwht+F
zXxj>HE=7{Fl@#^e7)>E>Hk&NZCL#lAaZp<LLYsp~Vz!*jN{io<SK`;**E9Mh6>6l=
z&E)&{9@cwpjgRY0jypbc*e7Q`ynlS=@p1K;cekis#3FjpbMBntKlnOcfBw)zfBrH`
zVf?QAEeWEFfUr!yHC_EL>WkR0s`z)WMxR217kh<_9lU0Ag;>~x8j2ZpbvR`Em~hcT
zuUm0(<|H1>SxiY^OU;2Ldb>k3de*)P+qnI7h2fu0&xAWV_9EZ??*|VaoG!JYM&Vd}
zwna=PUZDQg;O=wZ3}QE4u(y<YFa@?+<u{7hdQv1vw||4;!fNf+C+}EX%w(c9wPfdV
zX`mFtGczxLQaSH-0m@=t(7a>G>>kEokXl&c`?&zN(d)p0c@kUvr#)W;pX`4ta4b?9
zeou%wf=Xw_=Nhu){>045H-eP-IoyAdTVzS5V3vR35H1N8aenuk-}<0(BpFV~ECLng
z8V56NSFx5IIE2vrjI%s+xd<zz%o+MpXGNb_B;D2F3Q!sHK>o#L6a`^@a$y{9tdq$e
zyZ?EF8rqk`$r<6BNKkUtufqi3+oVn`kVBbnxA7xU(VQYASma47lwe!*wHj!X(OMeR
zzDzm@AiSSy<;2noQ5MM|02LteIgxh~%8=Yqk!nmeAGAX8FbS!nX99jQa>Yh2j`hI6
zp9ifY->(<FxK<a+mA;W8uap$lMfs2)i-_U^{Q)G`c;QrTs=s_3`=LdwM3dxJxkkTS
zXCRIjHJLPnx!lZrjeOq4V5E>q`!e_r?;+a9w)|3y?R>f0h3{qpH9^Y4&NTT4cSVAy
zu+|g_0n15Pd!gMfmkr{Q<qj!95|)Y+lxH>oCWZ3rVwq}Yn*f3+I>|?4l7kxxA>Qzc
zzM@j<PfclfQ!vzwP$WFKD0fu@i8x&wFPZ#&fptGIi&v1?rla}%^4>Wh-8J4U@k#=Q
z#D9#$tLeL@2p2ONE9hs$#(LXnDs3_DFWLG_*nDo&Tx4wR(F0OO#CZHMT1+>uPiFyY
zIfwX~9hM_1mg^#L9j3#v`O96Wt?6P>SDxK={N2k(>*W$eA%WRpp;^zACwZ*}0N;+h
z&X5e8Kb1OZ&3_@O<Xwq4MxlDS98c8hDe42)>x5TeHKDZXD)}q-HhIZGxOb^XdVyTZ
z3siK%*Q+P0I}tO`B-aflpft-}vC)gyw|+Cy3z(2uqRUijTRjAV%oZiLa-+AY+hS$C
zS|B51=IA^X<8zkpo$vHnIUE2A8|nr1Y0gEom;^w$mPEoSU_)|vF?>(H#nLM#@X03=
zHNyoA#nmip#cd%BPdL+1JwP!aRp}zM+#b8HcQW&XH@~?!Rm)T|i35mCS0X#$4V^0*
zd3!_o#L}0}6A7gD-?LTdyk~Ky`}TV5Wu?fKM^;I{8!{7f<x`DhD{*3mE<$Itv7<>`
zPaC@L5$~jQkv2|fH~55dWg#Bp!O~@<h;c*swM)t%k64ANh-Rx_B)t<=AyH1($sXRb
zan+R@q)}0-ZGA8O+U}*&xUnCn&TVr(8zwo1$p2XK0n>co)n;OocsRx|Kt_u<u1Fr+
z>J0}M7eLLV?v+e@FoZYc85kMt*U6OQQy+d(sVDdGczwdbj7@cp{HQATa<Av@^2|kb
z6e0>`mCMf}HRyHF#Z(sD>C8%ckt-Kd0X7AFR|7Y%Ls~mL7(F|*!Ea0^(Q@T@$mM$G
z&<ni5ztiL!K8f(4Nv@oVw`dl($03Lj2P*>PrC0`?z#BQJ_P<-*f&l2nvNbJqr$aQ6
zll4<i1~-n+il!uVjL6hj)JEMyq%<uogMl7mEx-exav~fizF!?A4A&Pc6QqMOR%Mvl
zh`5DDr!!dU0vCkSz#rLn_sv_QXGCmOA64;aJ_jfr+_^Pe?sNz-ASJ0(oc9Nk?PQ`=
z6QBUH^QDql&Y9}3nTW2o@iPUaZacPh^WFO*f`-tlce_i2PNyMbXp*yBA~I}}btzOv
z_qn6{$z_vcI26sEumsXK`aSMsw?jL+L-jUbJl&mLohzOB&Te|Ld-=5zP(^%Qh+tkX
zsW@T=6<qdUoO+uge|ujR3j^GW?vPQ5`&)w~)<z6|FHUMc0c&eCoPt7i0VXT}rWAST
zl#)m#NzG@@9S-t^Z4uRcKE_iQt;FZfDL*k4-_f~x&3}dBrkHRzdS0ApE`0japMJ@w
zU;HvhpZl<!)85HliQ(m{lRGZip8ty(orM%x%&5)~661g!hjswNCsjnujr`!rh?csl
zM?6n#Jf7tl=@tkr6OQ3NF87hR&lWS1kOJPw4(P*jc<K$&M6VOcV)BHgjSed&M3k+}
z7YU}97R(s;?Jmn%wJ~p1q!Pm9SG$}{<`wi&w{&Dyv7}q>x}2e!71UrrBP>c=1}o^j
zRJSMemuIbC$FSqY<Ix!53IR?D)KGi@SpZCiVCbD{m$Q2J@`0$|1kX6lG@vAoXnA=b
z=89Yky!a4s^1w*&<SAVv^>0Wr!;BLIsLG4=K7rWcNO@99k5L*Ykq^a#c8Y4S=$)j2
zNv4z(zX_ulDl+3@(Lyno4+7(Dhmj%D-oL=4%^iV{M50T2au+DG+!?PZ1|6V;4Y-w`
zK&vE;W+W(s!$lw5Jw0|WPa|RbC~gZK_Qyd0i<XHhFpW|rOOP9g^l8K=v{NJ+F`hAH
zs9;hk<d|Dd&cv(>784q4FknTH&%ocn(O^1BU{W#>sojt$QpwQ|a!D#3wDP%Ts}xTr
zBiS?tKnkm&*1~Vj!Ef$oZ0;Ia7zbU&f_zS0m_i=0C>z9K=*O%dd}aYxoE}g(>l&ye
z3_49bh{R@qU_l{1+uc5Zyr8&9Y>V51vr0Wwb=}#s4^VWS`bO02LA=9_K&6O7hgP*+
zzyXIP6wJLNVqT{RqP3JsE;27Zy~JyvhYV(K=wl@F`LcJ}V6BxSm^6685amQ?@7}G=
zJ_ZF;enQOI%}Q6w*pSJosqhv2_sGJ5vOk!QQN=wG@A+*iHPh^!-9&Oa81@jAB>nTt
z>c?5?!jZ2b()MxB&wHMoL_Hv3iThDp#v*vRE@gL_YRF6=M?A6IG>bB8=mK|cHJc)^
z$%LYx=~?mVF1l@{8(j)3NsWlZL`mwsG==6AdZ#ffm93hQF1ilH43;;}umD4>GoL#d
zQouPL%gpmdFtHLSD--lTd8qXp$pmg4z|}Hejb<X%Ir_<ah?sRI2wj0O(XzwSO~3AT
zJ`C?hL)MWr%F~lRWq`vOjT(XUs2Z}0JgT)Ya}VH_(VGAs^A^;@qc;JvjVV$+oFca)
zFnZIQ9)0xq{{8zOz2%mhZhDkBYP)&-(MKP}Gy`r-dLd~G^tSODLb?DNUV%{<uVM2H
z223#|VMg*=9n7qjrA;@!K*kI<1F|vD!is9D7|xf-=o~pGaz%0l1yFO$<mgRe6!oUS
zDqy-ps|{+leqH??nA!Jveu!DHLqh4C$s2f8$f!IcOABN&`p3ji9;YkKxR01mF;41{
zjzQ8ThnIg+v<z#Dz<cmSq1RegnG719zN7wDF4+oZ0>Mn7ScxZW0_K_6^sJGLXHw~8
z&>xRd2FDhYI0g6uu~01KNHmi$K1C=t;EYZIFB&cA^<+fk5b1~?7pGd<wsCSVeN%wo
zlgU~EO!-(G6dq|HfK1@L+tFA$mvN-RDKIjHOfnuxM4(S%A7s+R0)WDZX*re66`6fv
zZfon^i7kEUFV{MTwqZP{<B{{^su4k~>IC=DU6)3ni$IB@qbX0<LcSBOnC*64RwDiH
z2w=G8hq4xaI98{H39^GUmPeqwok*R@I#*Q0P{rYFb^B<fjM1ovZxQU}9>9tcj#(`9
z2U)~tuyOqHP!a(BaK_0-z=9$I7HcO}2h$MUP&*jPKxU<{gK@l;JFTG4hBRVNw-E>P
zMdFD7VL6;;_X*|Hqc3x$bP-6sVjL5`Vau7aSw}nt-blh-m+f`iUk~^sQ3hN4u13VB
zPnvXlZMmj^oLkF#Za<gF1`xZX?wWC@5O}TWEuZwJfR(dV`c>BI{!|yX_U+p`GCybG
zVXIuXwQp<R&X3c+>6y(<AiaDu)0@Cp8tS~1)e0>x9-ZoR%h&n&we#c8Hai`|H$_AF
zo}R);ii==u=P7yCiEX=qINw)Z&S~@<bFY!7%NyH{$T0FRqvdk3RiZ<+=7#75ZxJ<4
z00l*r6ZNethQpohdI2j_qp`7Z)J;g-y<Ah3G6~{aO9LraT@i?EcX{+hFwWc8wI2YM
zJT_R2E@iDlRy=(8@Zrj#^6BAl=nNfl9wotX_wn52?>(G*=pRBA<e;CR=IdQ|y)qcB
zMD5q1oE<73o`y+qNRb=EVEH{`B#4Qg#KX>v<7Q6dq5VtG-@|wG5a-!BjCn0Fnmk!8
zeA(_7b#8aoOcs2T#^T=A`*kO4aDlsXiN5YqKT&3o`yQgC^DhHMW)Tm^wk03ZeK_My
z(i8%wD`C33>4#=@C4Z8)`%6AKEf+j_bFeWhl*@77ORFMQx^G4T@0Fdqyc5DD5dr3V
zg1FoWKnb5k;zw*SLvKt(f^qq${voc3cp#Mg<**&ZlNF4p*F_93Rwi$_i+G_ZscW2$
z_(L)Iw^FuUD^$X@I$_?bT5n{dfN2p9lS{`F{mkOR><W?GRoluP@x|dZ!s`OUJ<K4I
zCbgr)4HuNkR49%<{J%Jmqj(ZS*rcpbn6h*D40U~LDvXOpL`n<hdCC%o!|*_=`QkUh
zM8}@du#@wVb)Sj{@qpq@M!!^nWBxF?Lj0?*$(>Tf(fH57crp@<r6NDgjrzl>cwhrz
z*v5k8|FC2#$^ROtVsfv66YhOR1Mehy%SovwDM{RE+OjIyyq&{aoohFn{-s2s8mm-?
z;Y!6hNp(a+3W21ciXkkBs8rlIUPS~W_&V$cc@vQ!(QZ3_GZR7BO=6wQP)q}#k_CQR
zBwDZ&hLP~4v!n<3jR;0_3Q|Wc@(caQ6v>;T$pp8W2wlb_mZ;G>uJSEH%=6rbbrc%0
z3sAR)agor9$2g7%g+-8nU~13+QA{S0@++Fhik)?P4Bk2Z9$ld1bh4<nCx9Vt1)mS8
z&@XY9lIR)!d@Truphh%`jxOxly>|IN?r}C^wkW2D592XYwc1n49}%=;?k`6i$|tZx
z?bkJHJQ4=W0LO|f7A3h@qMh`#X~+`nPe>ZuA<&w4$s~|BH%IOa-<Y|jA862(nIaoa
zcS15Talee|r7Shoe;|7b*B+qO{kS5-mQdBgY`4^H%wI9R1l|gY$)QBbK(($@w!sK(
z+zaxG+E4PL*fO(|@2C4k61cKG<cfZOePg+suU>fa$tTlNyEOeqquQZ7aJ}0hxv$Wx
z`OoI&D7zAiM>he;2J1Hk<Y6p&0Nj@7hjt%Tjy`%4D>Jc#-QMtEzfW)U5<&;fi=&Hw
zWjw4NCj#;g&qv`HNYSK&yQIPWM6?<kefXBQB#JLfuW4e!_#sSgLRoYdOP}dCa-2wV
z3lah`>0k%VSV)^TPiY$H#)gi6ON1z<d(2HcJFv8Kcy(aOk2k$upB@Oe#A|D!c#(N#
z-(rAb6IbU^9BnV9uuEbO_L^i|_o@{HA3_ZZz|GoH4L0DbH)iJBE$@$+AX*Z6RVsNw
zd$ia6`2r?#Ujs`jp$J5wd1q$#?wOrK!3%*^Zo){)UOVt*Ciej>Exvkfda=_nrHDBx
z0R#;IrfC}u0;Pz7c>`2}WEBic#64JMtG%$$Zka?sh<F+CO;4}ynV%=#g1Ij7L{i8j
za6%+|XaM6$v}YtmO!5&?+7LAfoTCa+5+|-aJK_1y!F8qf*R^<eKI(bO^J~Z@_4<oM
z2KYK-2E_Al<q{YUoh$mIpqlE3p`V+(H0gAhpX(Wt=O$64vRRz(h~FB%4Sh?p;Ii`U
zTt+01-`(9=5$$N)b`|!8IYS=5-mJ|V^foANdQ6PjlUxwZ)E|%bsIQFnh<n9KsIQ>s
zBVmuep3N6Rc<W<+a@Ek&xAy6zM>Av!`Xj6YceFh>H}5w>!A!Xgb|Fy~s*35rG)Aw(
z@yxJbU>LvppHPf>seljgM$uiTW~O6-ye~;ySWkTX;;N3R<#@Rgb8^vKJ{eQi=y%2F
z0QE|76~vK{@>o^pxxUdG^>rrI!(8VxKtJXq)C7i8MIydx0aHSsaM)<I29_tQMZxn~
zh^PxrDiw^NPMLN*{D&|UxqjqdX~DN&T|4>%)g1i+K6@{DPoRCL(}$K8LAx})nWH*7
zA*TMUsmg;TupgXUwH9q!q~~G&VZacinNMJUFo@5VvGNY`ET@reEEx$qkBH8;+v8Q;
zF|ivfRLkA-z5W!DZ=vqwTiv>G^2A0vjOTk5L*>>Ln_I1xQolXS=VQr*`QfU3&(9Cn
zU)t|gbA!cZBPO^M?bg=TsR+8h*h0R*wOl|-ok-Cl7>O3I9dca=!gwsofDljWr8P2c
zq+Qm52WeTGvBdSu-h-iDM<5JA&B}9heZAR$=5A~pJFxEa=KR6#?DZQP%Db`Wy01TE
zTb0!onTX`cPLqZV`>l#f=j*iB_RUOt`@PLU=R@Mz5BwjLt9oO7{RpTW&8AWHS{a*C
zJ?7p$HxPbpjNWq(_<YLD=UX#n1l)YCW0UBE5p1p9_8Gn2zRjsAZ|R2_ezy9HfT+Ug
z5;5!@|B<<SggEUnH-<)vC5N}3I>Lms6V@feY;$`^`a~Ne#?w#CkC+~qazszc#DYHS
z1FR1JdVXQC2f<-<;d7Yk&-4+?W(R|QFX3Q%^Mf_M+Mb@OS>PEU_QWXjj0`eAch{gc
z-w{V18PY%mHq?2__4$bDu!ErQOAamkrqLn#mzulLW)r~R5V<zswF2vum$(v)1^rDB
zzDEB(Yfxg0TGv?l{2@w9;xW2Nt;TceO7cc#Jr8?+)N|hRQ=Xs0kdUW(Jzi_!-8S4=
zIQOM*_m``H;2)w5EQrlMR1vq8jNHkf)^;GgOD=Dh@7>38k1cB*z2(w&QDt<?E+>$2
z#allQnvkGvYpa^Wxh>ln>N5|!;|q|3x(A$m+Tf<h(^}=3rk7;vs<U$gI~UZ&v*Pf}
zJ@HUWTyi6F8G0R+_johPZONtK?Vd?)iO22QNgU}9S{vt(9h*jz|Ax68p0DMqk=iZa
zfWbvdk<s5{H}#f4K8~iOe5a92RPz!IWOlK_n&y79WweYo@1au*WX+RiF1X?C`QI`_
zN*qwqL<wWjizh=xbImB3ppY3ENU}ejeLFU&nDa@fY0qC<&sBrPj#ZZA@-i`iaJX(Z
z>aF1ln)a1_aa>((xeVwuexY8>o9|fbz!xH@V`E90_xrK81gwU+PgSXUV22UMRp8gj
zHuT4TOBj37C>d#^;QhYW8V?z#ud&|72!Dg|hB)@Mjw*u?f%qRUK`7Beuu4&7h$!Zw
zw`AxY&CKhJSDiIVzLIgX86(2+2)h#k7z~CZ2xVx66@S84BG~XKHM~;(`fR7u=@}>C
zaGd###@+WA`wkd=6^_SD#=E6zgnxyN={e)78Dn<38S5JDF4*ss1SG<2sz+<{YFLf<
zQB=8!E0WR-W)36-G3NMjbZOHW`2^z6oA^*_L_Zy)vfLY>kvv+45Q9$xaUyn$pHfo0
zAd75qY#zQ0d>LO7pdzjXNe<iL=!_YmE3WxR3jy-;awj<Z2o+{Tad5Z2@*vZM5;6aE
z`{E3~UlcF>@`1EJmIwu|VklwC^#dOAiItTV*;G#3Y$=ce0pMRS)iTT%1-|+nV{`N7
zo3=KM$+tR+Z8_!-C4Ll_U{pdMUfW89{IU4&HX4nXKbR=ksV#|yXke0y%{3~SY&zwy
z?E|qqqF%&-@txf#kQ2H1FB4l?lU$|S>D~H^S<BR<PshMsm-V@x%$J@Cz25xZ4wvV}
zsDAv#@)kyah2zeS<zlIKl5i(+A4~gn_u_Y>+s|&rAq00&Zjqjihq8%GG>mH$$)vU{
zjj?`#Bt3dw0rk;Gqjo5s_oo`G^rL!BGeM8>q7$E>f@G9LbUWIqv~$^1(r@|eLqr%6
zC<7Nqp6j5?id?aIDxuz~Y4c}2U-EnliNS^P*H|f35@-qzjKiSR;Zc&3Xmzb&$H7WS
znFGhtaZ)l~8A@*4=r|VD!hxYJu=uhN1BJvo5LoS?mZ8fSytL2Q8vg?O2rG2=;W~7v
zksMTt0$Rf?fmoVvcJ=dHUXd#z?7=-emn31TnY7%4IN3yK)pxNn1#pf@WJ|~Lcjj2?
zVqK_A8%p3*4H6Gc=SnC6#tFY2&jv+UK#&XM%0AUSgWHQiFZ4^`_co**CW&|kdjzuG
z?pET%0z=BX5((F<k?<8pHbs)26=-#lD&1eO6wd9>By77Ws4j-;{w5sUiK}SRB3LIK
zh+QEWjNLZny97%p5;JbiaLfR;OVimfW(tCMj(lPh!;jdG6JqVLlAHf}6K_jwCN)X*
z5FmRHWjT1T4~rmNJMNtWqd4F%08Xc}2KJRhuh+7S=i;}GZS{WqHXyW8olX0&;G9B7
zWQ>S>*`*#Qv_;myJ4MBl;W0#plW$SUC0kX#ZOu<DV&??f#;`V~XRf~U{`+pa>gKie
zwdL2AO2^`<AN|6>vZibE<@#NlQ->Na%YrNY!}U^e_U_}Q%rgK?)SHdFuPT(@xj7uP
zS`p9@m!=Xiujx<kKX5u8`_|}>oqm6=kxPYZo7273@=`;2+bjOy(Fc;*GyQ&_O4jG!
z6!McJ=(+fh%!#*o!k!w^$`S4lcam?hjmd*g;kw+FI2N#txOc0I9Jz=9+_ttNIFd-_
zaJRJWa`*I%ac*>Bbb+!V+h4-^Nm-rM;mj=YPTr$uu3rCxLT#l!7pH2#X5;%0p1Shb
zu_d+G-+$n$tM>1oil@G_y1M%8v-}-{Gyr&<&rjh93WkmX05ey1P<ZCwx(uFo?XaqB
zwUNzRt$j&dPtUmcUGxC2))~ntR&|&5nc5#MK|!m-lolo3qG;AwFmZ*JRRj!Kk_Y3s
zH*1TfKz`XMYR{^*(X$nDI@W!Octx%4EN;|lwbweSY_h)`--xC%hf{%<`>JL%PM~`r
z=e?EAR;hGl^wo-sAYD<*vNZZhFw!1~g|{P{3-M|^S-Gq1`#x{Q2qcmb!%Et(_fs8k
zbnzngi??F+zS8qS&!3|*QTJt-l^%zDVB!(yx%9e(yo+EA)zY3o;K(69T|Otl79wx+
zWHbQ+IJ6_%p$*v~Wli9;?5x4(mPiz*4}|atF>xR4&M#cG%d#79T(z8Xfj$$sDCT0f
z=^ICyNi^vgST#$ZOSu%+I)z<?i{)q#Tqcfq9YtC1%BAqzkxW_rcF)mmEV_K#4d~ai
zO^-r`rDo@7){`Iy*<-jW&#n9OBrQsz2g$0)bz%ta*-R<erpiYariX+ACG(LnRn4c2
zv$$+&8OvdFm8iw&PlqUcD{+5u(x^~d6KK>%y-kb=Bob946e4&;(j)41k|2^Q;UiB7
z(GHuYVFY6ZvdP?X42Y6;5cD|;chp1hB0|Ega0yOFxB-Qhtduz6Ibb43+*5z`@Zp2k
zUw!5P-cajDKKYi{l3GX^_+lZYLIKKy1yDvx$ccoj_`aPDV6ZWeR=wV2nS(XT;?uL^
zK(HDnrzc1q*D65>DW`I{hUAAW8N&cp<g^4tI>Db5yMPKj_82Zu(Zb*J9wHgg$Jxd2
zZ?&!oB2lV$yhA?mR{6bzUWndKFgu0?DfWz$kK=j6p>me;4qlUz%vhIE0OgXRa%w=Q
zd_l_ZSp_t)S9D2buT}vy^P1Nv>Xh@a>WHrN6u1fgV6$1Yf@EUlLB}!0?lboH?bA9m
zvls&O0>)f3s|SG|h!e&Om6aGk8710XZfCksG)Ocs7&1i!(rmH`OrLY4R-7A~Wyjy!
zMk;+UQHzrbvAwN)=}azh5aZ)E94|kY2@}_mnakr+Q|GDUblJ|Mi^N?a7bly4cG98J
zo0DxfOWABT!Lr}Zl8H|!MgV(-cSjB`Q3>L$o+qHY)_6d>GO8=3x^gPu469u+D!EqO
zOW%un?lF__S7HTTq5=VGm8IvHHexfE+<3#CZ)Tp%MA(p}56NMPRN??ohvCjD3GCLZ
zh<ADs>GR!YEM5p<;R*2(2()cDCoGjxs0@^(q6#>Xw@vK+W~hjU!$&ipBj?heELmIr
zLLrIm$@Hcj#~ZMT%p}@{nUG4E7j_4=>|So>(IjTAY15doXYtsViO>x$k;}-qgDNr`
z6mdc`hB<4^5~xzi6Y%0|UWXiEslDR!aIR;pG4ogPXaq83FMQ|X@2HV_mioNYWOrU6
zDEg^O{7h>X!ujCpsjQGqp;OX(LNs~Pm3pQ86ygIV?P6XQ4(LX5r_uuCB#)KnBC+J6
z%*v+hFw4$3?y(YIxwyHxwK<?1U*y2G*Y1}ZVRvFrkH4hfPg7XM2huWSz}|n$++5lh
zjTnhu?=;nqVq1oIOjvQ$8;NZ1i-36yys}}mnzOUbmgHR->diCpSUf%tN=a~QgOBj&
z7C`N+(uw0|kriUwo0}ZesGm7=8z{YrYmOW(lO1DTb?n$Nf-xh<uq#FsRCGUST9v&-
zSgF|2Wf$jU`Djcrj6F907;?eS7c5!9kUQ<UO>**6lbI=S2YPIwK#T=u26LxtU;3@(
zDN!)S+x2e&19_45<lBDl{vRi-p?@@UsEUv7Er$*rN*?J7O$>*t|CwKzBgFQEL)D*W
zId!xvD2&x#x~x@6|LOzQGTxLrGDS(eP*t5wvhoJhwn*;=+-_3OTKy2^aHCQ+h7IF|
z)t#kBca~T;-hqA+S<9tsIZ$`+^ZYn`d{t@)Vq~U=v@(D{K@T#=<!(A}9W$6Vt+<X*
zjiHCnftIw@tz{2!S;$)_EC_xq$J9rafr@2~qf0Y(&?8ZnWp^32P*xFFUE>=&O@d8U
z2%TQ}m}yzr6t-64<9)t#0XLlC+v*a~Yk?a??=DC-ADHL=A2Tl)XthqCYPB#MGv;ih
zXkMY7Z!p-ue=zXXbV|BXFCi0(Y%drXxrz?p=jkf-gQg^43Vxc*Sa=~S{&EJOJ*B=2
zTVnExWteyozjdp$vIN<YLr3KdZ=FFyU?rR}2-YLlaOO1pGH7(s5^PeY@v^pBSD)?o
zyq}Z2d)y9y;|a%x8YE`TaHKUy;D$qpDQmphxMPX>#N*n{i<ZHFakJ-<o22_hE_OTA
z?L-v7aTn6#^uG{V0<1(^z`%9cW0uFK58)tR3%%BdlID`jEVP9~s$V9wFijanA2YdE
zZhIrq+8~>WA0&Z6t~^{WH-ZbqVuk0Md7Qjz^aXD)(5wMn096S1tJC-oO#cNm<5L6J
z7ZHvDGalc!jeiw0eCUrN(!H>3XV9<EQ?gh(?n|fl05lpV6Ne5mtX94qY&MXhw?zOj
zY>b@jg<UK7EYgnbr7V6(&%yBnggk=3H5upM8++i!Z9GT}!rMIWL7w%b;LQTz)O48d
zI@w_OZ&>5|H?;ZQ<NROkMS|5EUd^lbyzkMm=dGADc%cpI{5f76=MB&MW~YDqdOZ#e
zYO(%<`U?JyS*Yw-TF`@tVWWqP-I*|Scj(DVmobqxKiSlE`4q@b$IUb~Wl0B|e4jlr
zTq~9Q0fPFkIemI%)koRxy?c-Se29|hoBe6@;*}#uPd&{p=42OdI#v2}U$48hb&LsK
zY^Ty&TQ{B9v!`A+e}3=$LaiR1zUijdhstHJly}j;HrO5~iDT9o6|TaVCPPYu9ZbGj
zdDhksq!8h@nger>HWx1@Jo(r6=IALlo`?ze_GOi9<UVb+1v4eAr`48dt!}$eh!920
zAoT~0D<stR+91EBrd;sFqHPY%B5KUe9-4fs4wm2=K%<>uFbHfjc^7FUosdK+h9cJ!
zmh62sOLExI|J)r5w0n7UZucSO&~%TEzq+9PMse|Bi5~8TflA&8xp%&StGbQN5A>7U
zQ%HY?=TFxD<WJVWb<xwVlD<T>hHCrL((hB<>08p^V~Iqq)@s#i3G&1*Epu*stz5vX
zz#LuiyvFme=l!0Kdp<kSGl%+N$e?lwl~&d)>eliYv<FAzZ>BJgQxR^KFnEbQK$A7G
zg*ckLiRh$9s{C@7WO&L^wP8_ihb;o()e-d(1F%@%Ea6+be>R86SeLenvDl`oL>;}<
z@CgC{_V!4{Cf6<$baHEndZXPg5g`>+v9fpu(n&QBHwZ0$i$t)(YO75hmmIb$Fq;#E
z<WM{h5T$&mSZq7|w@O8?kNC#03MT!2klhO9vj021UQe*y^v6SJm4TA}_=xfY7@<F2
zt%3!~8Rp}0Dw~=04i$-~7iMNsGx(ysfe5hQX2wWlk`(j~_d?1KSRiof@oKG_q@*=|
z0pcnv`Fu3&hp`dRO{o^2&mljm0bWWn-RP7vgyBTOy?e$N!qxO9R|11Y`xsw~^523b
zMXn|fxesAm_^#)i@q;RYJ@fz-Xdb2>#y5H9dLD_g1ZxsKY9hgD1!}x*wQD1=4cI16
zUBqFrbqPSB4xP}lo5ebO?-&OFbdaaBB8Y@?JUO<zkNlER<-#Yr-X~eZ9H$kmQFOSS
zE4cJq_HndBKmx&;CzmcxnzMO)13RbrEdWeY?U32bhs;76*R@6Ne8{wFC4gl<4Cs2u
zYxUYufOZNfDFopEJymnThuA<&@io2P3<W+H(gb1Ine`+%5~Mk*EASD3jTpxy3NYYb
zEbx)C%|x2C9;}Ccwgu#PcMy?pSao=$nZ;wWl0YY7_xUogHhzEnAe#Q4U<**ex2oW6
zROUvtB)lq}aY`YlPo}>r_+i{;GfGaPsj38BU`A7fq*3B1hWBw<N;5Y6j|76TJ8jjx
z!&ZLLRRcX1>aza{<*OjVkv2oEA`%x>sVAQ*s4;FJKFFo#u$cv^j^aTDONsp_wOIFQ
z@nn%v;QH#iLWX#YI0{4I<(kVResamvY&M^KvWY^yj?D7fS4Hl)(^@oFR=pqhzS{l)
z>u=GuA5`xeJ-EEA-gO$2;NX4b@`+9~zNzNsP0EdHzxlK3Q{>l7P57IZw4e~$Sfpc>
zP@v@Pl7Er0I$d>rv{0yM*L0;kQz;ap>4OdY^SgD&;rx8#VEWxTBzf9M+gL1r75RDD
z-Rf;N)9GFbEzA--Ii<ej*-OmH|5UddIRk8}RA(q~Jr@6C>cw@8DI3)yv|<Qll-U3n
zu`|F{-{2qi#z6JaP+xdMb|$%@xwt^skiHpyYkL@$w1uvOgAX!f(75do<1y^9CsFrg
z7-JtJ-fMh%$896#K91GpTEs*k{~Sn8CPJn@483HNG0Z>mD5uaCY7V9ksKZy><*eJf
zOLJDpA<!1&dR@Zb=(=$$<C_)@Ld&t367{m&>g1r~1Ilk(9Qz2wbOWpz$(nWJ%d)zw
zV(}ZF0c4w18eQ5|v>Fbr-TmTerrPoN1iB6UL0^jA&S5V_&x<6U;bhWrE*=M$s&9ie
zf;`0Ay@(~0AAx0*q<3x=ZX?|bb?MMca&+l{4(*ZY*-svnyOpOaM-=XrrQtOccnLH_
z3=Y<u)Oy5<`b95>0K|!EGBEQ6afJ~FDM<9SP{hXn@Qs9%0;pR`$O=drvl__5q}NB4
zbWu|%hy|ODWr{WIk9b*1xtXepO1ONooNwEbHDP+gBqb~L=Q)X}1hl*qBU>Bzm{16!
zPo4EviQ{_PDNg7k9U>{I5F)kX%`CMAMV}a;pGkxxl!G_IQcHr1!23aMZ@C=54MYYQ
zIBA0PvHOYSZ{h`FXI$Up#Ss^V!bE07Jb`5rRAOG-DK;)ASIOhS1D=<diCP|e20%!o
zH~OQQRFEhp%Fzb3;ZgZxm=wjV%7G{($x#UwgNqXC7p1VRC>>aC$mx#ZX~MGRqsA=8
z34@Z#V!||R0<(M+ACcQ4Lt3stmRMmDDypjl0|Jjj3m_neWDo2{*_;LE4B)M9BEIo5
z0b8W5U?N2F(+^^IPpDf8*-)^b!-A#Aiu6S{nzf|h`6%eQ7(~-K3<xTeBDX!w4aQrA
zl2iME1ns5P3Q1yIgD(Mp$Cs%uNR{R|Q8LV<^+ro1w!<QbfozoYbLWyR=?3*wT8zk+
zSx$wDl{y+JPtnd~67iClk*R9D7_j5SIhJx_hJ}PPEOKGodc{JABz&JiO)i}LlFUYI
zT@;@x&BVh+N*bId!SfQmn}>vHSn?FGHN$S=0f1v70LFk|)Q&+KCCUu@HrQzZ+|!mW
zQH1D{#8D3ZOvJBz$xI?hAfX&gy2Xf-F_TP@iy#qwRB01PH4Mvi5`!g%6^oc%nvro6
z4@W3)4APY(p@gV%Ew*zx5-2h@*TWwpkUStc5+FsOB2ny^>*r>b3>^&FWLL3GQ6Y@B
z_%2n5Fee|SMc{^JgyUENptceir(C(#L;i3Mnfeg1NZ;pqC#(kHMSE#Q5Mh$*X$@&v
zfp8$YYR{_}nb?{U%*%gk+qU*1yQx!`!%?o(U(^f#mStXqCMEi~7BX=bw#kbj7{&ek
z!6ja-jZd*T8&7AF`*&|vhj_Z$4()!6Ia~fG(Z%Z0(%N5Vn3HyTSwiwKnkMe~7*V<s
ze<`)Ju|Iz7Uu*E|oamxwd?NX-N!ap5&(6v861?0ixE$&^cxV|^_LpJf_Bcb^P3qI;
zJ3$i}hwTfaYO)Cv32YIWvx_({3nI|-7V@h}ySCr+TU+pv`zU8G?0~1W%+WMU$k<NT
zfj~pBe*@s~RI(_p2!lxftC*DjT)yKcOZ3@tA`$vj^7Ydv!0Q)ZwPYgUM~>WtBmo!+
zqwi|v%V-Ek6~A`1SPBFl0l(7<hmwi#cBj+9L7qib@P@2V8v>NdW^5`K`lHq7KJkf9
z3^B_>$wbnYT8MbK^M&be;F&ROs~!v%69C(mN|`mRTvSQI-97dPKs&y|h>dvGJO}A7
z#vMwPbOr_zc%yK3xv{Y)*46r5Hf@V6mJ!YcKeEw}BnSc1;&mr@ZEdM1lKrW*vnNi>
z&8gc!Oh-5ZUM_@Pv)f(1hWOHA{x5F5wQ&Np_RY;tuJxyq`C?(;)-}uBF6K)rKvh=f
z=PPCQotryx;_RQ^%1dlxX?(4(MQ%Jse)t2-st#8uCdH1;l_IuiDFjX|k&6Ub1AM}I
zv;eLWGb2_?wg4&09^`#stxU6paE9&}<w#~FPgOSnA4Tq8?ob}I^a94|4M1e5CVmjN
zirU&xYlO_GgQwALBb4XBOa)0je)5WA;>Hp-sUivEszdR+N52VVn_FrCEbTAzL*OAm
zo#kP~qK<l_DiD4PsUfo;XWvV%z2<7_UgZ^8<0>G=MraeD6fjc`$<!%0D!-`IFTHp4
zzfr66M5J;Fc(+|O`?BAnX7AX?8d~1IWYo}hS_Gs8t#`@2(qFty@#^4Q*N)uD?f>!C
z(h~4#f4nsq@MtJ9IT&mi<@}j!OtmO)({AAwZ?EEcE|&*`O|#LMnZYcB8DeQ^bBkJ*
z6*W2^PM<6`CQap=%X94z>T%*%Ey2;35=a7`%s9-VR7vrY0V1a;Sb7<UT2sASUN2Rz
zx%Jj$ERp=BU;6FaRP9~ws=f8CZ@o*MF|IX7o-avhSnztpKQFq*CEMV&)MLCG3PB{8
zsDauDxWa;r;1w|o>IJb2=mn;QyMRp1kYK2Z|Cs^7pa61mOc59+be~ApTDQD>&z(c;
z98|sZ!1#5ge1BLz^peVisW#(lMT7WOV$tU46d@?3wFh2*?X`XC#HJ8AA|tiaT<@bl
z{>z>{U)|h%@18x!2(sII7iM#_Sqet8<#LX)7Be%=11rmSVpXsCpc8=-U?99`JF$~J
zr+yNj)Iq#bVs$2DM0k+gkt>TcESLhkC9vILt+op3?a~A8HvL&&%nTulwkg_*%pO}?
zqsK>*(WE``<2}@Kk3atSO}SbvmnVtYOr=|`<(Yh*8XoajIY)9-B#Uj?UnL>On@;C_
z-nFS|BqMbijcb1XFN}1?FaQWy%FIkp0XiOtgd4=s;q(;wpispAGPwHctM`|B{r*C~
z@1T?m2SSf-M8S(el#1sv@i-Ej-vn)wY8q9N{P)exVhP#4U#g@LHl)vBq<<gPVF31w
zQ<Am-G3E>Pdb3$5h9>#e7Z_(zIM58}*C+5Kzt;0^^tiDBkq(f#MTdy7N_tNEH09D6
z=~}vG*wu}@GBGD@Xete*<4{**Uo9uF;>C;hGJ!SqmZSn`pBwt1*<bVHWl5oLH3v{*
zv*4wA50$NrLakPR2|9cf5j|9GwW&(b?~!<ss8%{Y>)1lbo6FUyL`*TnV##Ne3507~
z)<Yu#Zrl{4%hQt1Pq*8|T4dYp=}Sv$Pb8nONis$iW)}2iv(+d*kgVTtkN%lLHJw<F
zV%=VE^a-SLC>@T|PKBg^aOfTNJ%kH*JB6bCda}5T#g;ctHSX~5%2}U({?R$k+nJi`
zxK}V<f)+q*usfXR88vt+E}LV@OUFvrxGYSMXi);YP0#i#&(6=Q*_oSv`lrvV4uK=s
zJp7uUR_9;;`qvN5`Gu{$3ybEqs?`Te>o@H?tnjdZ7rc%?QNM_9vdI`&@%$F?Gagmv
z)OrfYz=v0%<Wd<&o}`E%axSgJLr&z8bK=PYQSkB<MMby7zcw7WB$*55GWBKaXUoO&
zme3U)p(@K_plWn2xSzy7gJ#W05dWMWI+wI`PHyQDqVv7shFX6gA72n`q;q7#>Jh}1
z=us-`Y&YFpZbvs^l^h6a!8!EU(^ti65pIXv7Awh1L5&rQ`^0tS?!#Vc9pN2sTF^|9
zJ7WD>CIR>cX*^McQ190S*HbK?AC(XJp|<>F?qu&F`XjNhK*%ZyOXvqgDhnb9g9Tiz
zNFZ`(fl(9&Q#dTyKcocNw3xw*hZ`c6DBlWLbQ+M>SXmf4kpxs(Lir%wzfi1|Rs_$I
zD-x7dWPbmqgjS%?=}Zzb?1bI>ZNhl0(cd^utr3<y6zZg54kr$j;KgOsC30a<H7Mf7
zp$O{#VL}z-s_JB6>D11`bPnY~GX%?sAZr2R00L75!3JOk;MOFk#pk;h4T<}{^#2p6
zdck|3UIEf4CEp4Ef@nYJDkQXvMiWu=oc7o!d?e9%Ay|l|;-e?0<yHWPlZhyGyGU&V
zv@ED{xZV}j;aU;m*10iX)IyPi?gpkv9R+97pa7L<0g03a$%w>$q6XTfL0L`!ImE3;
zuLKCH*zoz12r1qK@FkKS>b+KO-tyJJY~ry<LmYnDELkfq-}yGY`B6^@ZK;fp+LMCU
z3X>Pc!F&+Mi~N9Uiohw>-Hgj}WvEFsBe^W3JYRR$6_D${Z07UcPlDyu`qM>YBrq%|
zmOAaiZH3wy_2}r8XC8j=iU496>7Q8@*uKLbe+f~8MzuP%FxONB#3)Y`9b$kE(ZVXd
zLm$L^>}mj73_;M8=vPfGPCs~E@)e0hHy;k8FMY%~aNvn=@VcYXfu!Cbqvyw`Z%4lI
zU;I^#<I|FO$8nzf#CN;PJT;y|a=#9iP?^Vs$=S?hW~^(5V}{ET^G~V!4j+N_wY3cb
zl$ux&D(1WL_%T6(Jbd_-PaHpf90<F}Mj&t%W@PVWKh$T90|)P2ot>*Q3{!y!)jddX
zlFSya3t-NB4<0an@xcclM5_+WSk_*Gy8@FRdn|s8pWg-SxEFYOvz`q+Y+816`{ojw
z+X~M!Bhs97nM-74)r#wa)q;}zl%fi<cJg0W=g@%8UHJI98w=+?e&Jl9KwZni_6R?w
zXq=vN=L-CF<Y(dBhc4W>T~Hr)HBr{+n65wI+8*=l@m%jAs@4rwmeapL%{OSjd*W4x
zuEi&aF5VQwDy?m6$(2am3UD1Bi8v_qaU5qc^DkC_TeM$8@sHRk!`}0B8M(`@bkr-_
zl%qIIX?ZMfGI3P&vBw@O5x!IpJYZPa3Zg}D3J{lyuak*nI=;$tOCQ17U^SX%=)+#M
zRKC+hd6@MhR|JDeT!Y5wpBvub`~7C1_jPnc<!z{&W@l%Ez?{vtgPl$k26QR@E8%Gx
z9^*aq2y@NSC@kV6k=P&+Q*k%I5m|$n&9sxTC~qA;AYC$kFGvKmerr($am9U0xia2Z
zq*;=6{6eAPlcFT76LV}jgRPp+th5k)jJ15qlKd}e%c@vcX(#*9PWHnn0!PxvSm5|#
z?`ADBnS^jsB+X$h`@6rgoQ;B?{L62*4SWm~Ab1&{)I4U1Pgx_s&@tp&ua`A?y=-HP
zEbD#Xwr&f45jrv6leO+vXp&S>mY5j9Ns-TG$_6eE2T}nV*yrUX4DBdYay=5M;kLrk
zEO|}nsS*Ucurh#W%bv2VQH-QLpr|^wV~H4hS`vAqx63F0ax9L)er%OxX)kLfB474c
zSV{9Q*P)|!_(aQdAD}$v4v#XU32g`8=km~Xh00WXvE@~|OZF52MD~^Mtg!keN`Q%W
zg!mzIh=+#N#GU2ZiON<v?q$o`r}p(MQlU2s-!mU#QNFWSY9BVeF_<KLOHD230FYYl
zW7hx<9WyrI&@;l(Ui76k=J8ge-0!0_Gvy{L#^0BHY3rhHBHT*9p8qW?2iUURt?s8b
z9`0Uo`SNTqny&VASg`)+Rnt+q)$*keF+C$@z`{jHL73r1OfXy*>m(3kP!G!>o;~Zm
z^zqxuT$X;i?BmToZwg!+E}%k9`w;O+mLL*g90rzq-x;~V$xAcjouBeccH8~h*(iJM
z{^PW~+|S7l2yB<X45M2pV6Tu@fcnht(q*5|+ed<f$4BKt^)L6Vm+hp<CMVl@M0!d8
zazB)DX5Z+$PO6#+_^zmk##g?=7f4i7xueowg~#=0!Tt298@+<kt*z)tQ;T9|G0ckc
z6~-;3-QxfkddTnp$BW-mUr`@}=e0FA*OI*m^6+Fmp<IeN<O_*cOUJ82AKS+3VKGou
zX^CviGA09lflpj2S1VECR)Lnr2TxUc%m1Zvm5de;zDf(K@AFe5B%2kRdD<VEUA=j8
zobAPT5memUY>bTIP^4NdA<kMv8BqGNl;DWbTD81bxfjqKinpY*`3O}Btei48_uhQ-
z-c3`!Hx@|F;3YV(UonoUFMw_QUeAZ%==v5kwU<fj+Wa6GLNd61*D@wsTw9sTNMw5h
zRw8d5eyZC^bcJkj)dcqEEk{^^Lc3egR^_<b_^Q{B&nJCEQ`ewi%Ms*<vFZbdF=1@)
zzcU;<v%F-0W3x`)d0<I^FuI*BFxV14jMW(L9W;BPE@g5k5UlA5A9%vf7T#RK#Fs#(
z53V;F%2--H6AItCf7?jl2=FDbXl?B~6^fkNCutwaXNm32%Ky723+e<Om*C9eJ;#p4
z-eh?1$!u?5j~}>(C&nijJx7Pb{LO)UI@l&))*FsxIvuwVVW*Rck=PWCw1eq<;O6{r
z_2~9ssm$eiYinyquG`+u+~YNWAa?B7%Lg-Zj)m1LxA%3s-uEf>K5w_XZ~MyCg^wWY
zO08XE-o32sPF&A(*wfBq38!|X*tnp`yIk9nHY1%sQRZB?c1MT82z8dO=Rq|w^#dom
zyw+(e)$XjV_O|xlg!NC*hq3W3?pv6iX<>Tqh3~!h-iMZRiaI0bnoX+6tgn-<)!n!M
zGH{}FddevljPJWa^{b2df{e9E++LPQUSu@o#_*!A%J^btz+@O7|3dYp^oo>lk$;iw
z8aSe5fa!Z<$E-{)VV<yaEsV%LvwazbdR)#?PO_qAy#9cbNT;JjmmAn6ip^BY_kJw0
zxzSTOY_hVXPRr6m+&jgWE8ToSJQ^4`XBkg+xLzpM{YFvQ>2|Bt7FDfWEG0t9ic+X-
zR@40E%STVC)6YMk9Qu!d|CwL7v8O;A!6Tb)Wt}~AvN??=6^VGAOpOcoH%J(ZRL~ZK
z<#Jc%s^KYt(Q+s9_d)95XbD#fF5^1~LlYZaS0q@OzLPFx>hOkl^PEK(LqMR#m^`IA
zTIbR;d+a=+Lz~kGnSy^BUh4Oj5)wDdt99hc**SF8Sg*Txt}GFqGr%RR4cCU1uzFv=
z(XhOU_*Ax1DK?1#_m|77v*r@AZD_IHu+SRi7{-3DF*AEZtFc<Ekztq38=LPqb_{TX
zz0?0cac>?b$yJ{D=84RV$bH`{_pGd}s;+&@>b<(ut$k}rfFy*}LTE!65D1J77y)9j
zF>u+80UIR147LX&#*8nrfoTkwWd<x{8!v3~1~y|~<DGeIQup_s$n36WBy<0`_qmx>
znUN7EPDGsLJKy?#3u!3dQlV;|jf&;O(%c--X1Ut@{K8fne%6j1eAgy=-9SH>53b`w
z(({m<I&eZn(&U5S$CDcH>i56@{qKF>13!K8<Vmx2a`eTOcfRwTCx7AUSDC5NU+TXC
z1O9rG8GTRxuQzFwcA-EOS@1hnC!Gm2q4icL8eSEyLzWq0R*fGhFYgpJwCRWYD2C06
zuYdjPrgCWXUF8$RN%k@G%P3lp9XpgtkKSY|qrc+d*T4FWZ+zo{L*I>8M(0=JsE7i8
z*6nt8j`fsSW%PFsJn+DwZ>WFU=#zHvPuY?^i=ixw)#P6T9Z^PI$J=(QzXBDNA4*5<
zd(+pvXe~PH_U4mVtC)e5jw=zP42wL(%4HX&yVL0cmSAkHnK0-CQ!S;v&ljea<>szn
zS@JL=;ganm@+GDOM*9#8CstlyZBfQZ`yjtyf`Np_oJuRFO#`TN=Pfn#eC1lLHC?NM
zKh-AYu07pf<X5p*C?rswgsP|&@<sF*U;w4_1C*}7lLBDcXtgsQS#C1PBzIRJ$qQ=*
zvn{Ut?9Fa>pd{!y&^b<<pQ7&;uy@>s7WOrGB;CY7dZl@@v){SYx!SqId5&|h^JeD*
z=p3vG7VQE_gYdSY5i~_;B32`K_3_l8g{6()(0IoXX+z3bskCTmnoQ(oYZGaMPc8ne
ziT=c5ib2K3#Eott76zIu`H~Cyy}%^nO4h4hwfJ+-N?(!{tOvNS%T=%T;OIfh_I11R
zj8cF5vYCG;oWYf~&CTi?exI!(u057O%2p;9ABE~z%^nI+bd3H$&`tR^vSQcn;kW;W
zT&TA3joW>C%JG}~3SwrXeY#dq<g#|DSA*I5?9X*M-3<MUj&Ba{bjsMf<P;s^2hGY4
zm6hTHCmLOb--V*~+Qoru=`E~t5SHwNQATozF3AJQhBZN2vR7m;E;VWjor#GL5mACE
z-Q%CZy{n9Bu<Ioy*p}(ZPvfmpTAuuS@n)Ef=vAr8m6nFEM%7!EtDv25x=pKKwx`*K
zVhFiC9)uC1N0RE9qH0A(iG(KUg=B=93=fXj2R{rq%*0B%B;A8Gb{yjQa3_r?BgGO~
zJ6+RgrNZ%80!b<O1{g{ek&{W*MYo4Ck0Nc5d6TSg`6E;nA;EAc*?KjzPa)Oh$3c69
z@PWGS6Jct`rBGV<G)hyp(Ny65gD63ib{uq6st3BnBqBsOl1&mw9?*c4ngJyt#X?15
zv-m|BE{*p-Sviz4fivSi5>Fz6cGW|5sA~NSBokn61Ac9Sc@q8Ls?ql{nMPsXzG6L_
zac82W9CG$WqFIua2SGI?o(rcG@XS-V5s`=-96JLN{OCJj@RBi&!{P~WHHZ_88(i>$
zr0l}(E*RoA;t*-NXal<jVTk7zZ1YN9bi=Vi5;$b&5NH5Z(kjf)w+jyW0zo#7<ns9>
z{+6s>ieyxi5FMiELta!zA~4%(R)omoT|;D~i~bnEych6++=|K-FB0M-I3biSM@<OD
zsnp7GuU}k>#KK-N`kaM4${{ycdSQu14dwC+Cp{iCR=l*>$1eq-BGjpfhQElT3UEl^
zUBr%H+?USQA$6VyI-iXHI8@Q4M2oTmH!4^MJOpA1g5~geiltJhibD|q@OcO@z~bH_
zK{Px?1VWx*IN)bMWkkN9g-)h$|8zKW5lIwfxf9IizQa&~sU;B_UOBe`&z#S@;HOCz
zLxRnM5h_P39DRi90nh>tWOS3@7MvK0b6OMZKMU1GQ-I&at>MTX#|umvWq=qoNRw1T
zSrbL4ALDE~RJgGz22%(PzXlI_jCdB2nI81KxJ%b%>HyI11H3&G$_eEUx7EbHX;25s
zoJ<UD%3_A0Glj!PcP>sY?8S)k7Z5vOBEk>Baf<|FvmX9)JPl6_Y|4juG-i5?A&yx=
z?lCmKhjoCK)?G7eJl(NNs3PEjq-hH!0X1O<NQaDTrVly`riB0(qb1ydZ46Rc;yzVJ
zYSO1eD=@ajo22OEB9%%Lghhp~N^M??ya_1qaFuM#4B<j!A3Pc9uSuU&CSeJK(gm@r
zTy`pQgv!KDGzzd~$TqQRIG@Y@F@0<QJm=et-f)Usi$SsoI0k-)92bFq2EVfiYS50k
z8h*o%74kJX@R7jkuvTFhE?bf$N(YVfml}u*L{R&soVNTVe79xfSwih13e`lF$60<U
zmLho0u01+lC@qm>FVSH-CX<!D5}v5~4UjRJfxD~)9FuBH;(-iadRvDNTUu+&xTX^4
zOAW_<tqQ7nat+R~rL{g#VqAu0%I+O6fGa(rit4$n=c_fPaqR)O055P3$l6+2KFV8M
zMA@GRjpac-C6E$H-+<SaP`fpJgaCZfreeq^bDo>-uB~=HgNy~5G2{w@1kq(8;%X>s
z5l(VY43RJ$5xrpSlMam(UlAZ4XGm=>zr#o@ge<JsY``<2jGU_Z#4iXqn?hg)l8ull
zaH9#RqJS#ZaFo*?e@rVCgk<Pt7Y-xcQwS2P9bA~XtLi93Za$5E_URhDAYAx*vZ<q7
z3+e!D8L!;8onDvV(5~aOJF7hAVOTh4f2;`;cs{j?*gzVRW<Oy9SEA9w&~`;Fnf$>^
zU;0wOYuJIEf!J@*xKn8igG7o)_{PGPr~~yQGgl0F?I2dND-?VV9S`4VNU_HJ5|TF6
zL2X^8C5t82HT%G#PHxg8oG;4SA(}0j%Z;YwBFS@7RE8=r3!x{pA+5kmsyI%M#g_1*
z<WWf|#~Ki#Dd1{Z6WK%ktdb&6{D8jL^;CVrGwSAEi<OV?xTxGn@r;$L(CQ9q{h&EC
zM;~Z~wUwwDgL`D-Dp?qIrH8Q`#pC2S4U0o0EYA;UlgqpYA3Tj6aX$Yehx+0ZBr1K<
zpWwK5WxomK)#K8h@ka0D<0l+_)w^zg$9B2IsI!?7N~PhuZuR|lY#dQF@Gy7Uc_Pol
zpnwTw1eSL~R~(MDOEcxrg!5^+BE@PzKzIc7{`zE6T2-=w7-h+3vRY=4v#grJGJ}df
zl?I<9Vhh2d&{VfVe_3_O#9;+utNEV6RxaL5c5UhSArC_v6Klx>rX5{ZZ=fl#wEfoT
z_2&7b*Asl!sFPjT+!M^_r;tcO{UrT}E-hIJh0CE(8s0_S2-$wFFC_Duy&-&8DwCqF
zrZT(<1A~DL=MciJLaA7i#Za)wJj4lEq=3opJzJPKVk%r*^@y8O4nkyU1|!8a@)8hq
z&d?6N(B7VI<O?BgHJ`)PIv+C63llLnx=Z&2>A<6xaT=SNA})<tgC}NfY6{^DM`nhg
zEyUu=cLH(!@NF3nTA_ie7ppc?yBxz8)?xx%Vnxtd*^8A~pe>w(EeF@-dYM~~z*lNX
z=FG6Mvg~Q|*T`foEQJ#rs3a<vv8%osI~!>n4A+BJ&L#c88G?=VP)CR(d?qLd?RLw|
zA&)*Cok6?PoY&?dKJD*z>+F^}eQa*FLiWUBwX$(+cCK8>6spzD(N~Hj!8-ffFJyHp
z6S?2U3nJ_n6e6gximgctpmdQ#mO|YNf`|<j)3@%lgdWpMGW@oV9pk+s{pGPtpz}1g
zRNlk~rncsJ=xq~;3@JcJqu5y*_WLL$n?&~z170BL8_#+?Xa{vrjsapzl}pwaB2`K!
z-gkY&M|c6ziZI=Lq478U{fnJ7d?}<1rc&2k6IA5(8gR)+l1-rZEo;?;7{^l$c#0e#
zcp`x|T@`vO@A>Z|MN)H8Uz2bi+9h;GSC_+k?#BZ^bJnkkXPLBx9%?)tttm{#CLWVF
zmc}z0IF+%bH0{)!cKx*tx`m0)FDFj`o$0HO?ew)a%9%mXr-Xak@zIM`u<Wd^Ty){;
zisP)TUU-FD%%yUf1SyRf@)7bW7K`GC6E5tyoF~Rd7@bhOW??p&h?@C-_=kU3@Rgej
zXEuJ~s^OO7Yz?nE>3^Rz&*cJVE_4wW{2s|WW4Sya-@w*w!_kVu8*jGUhuIVV%AQn8
z(59hKz259ITUncM(2MT&mNnJes8i2g(O!D=46b={@3omU*dG4G#!V5)%E+|MXk$@m
z3o$8Hio|Ji+~fr$Qf#SELE8mqoBa&^r0IPoYts0X=MDWeKb6=AmP#758C;Nw_K0ec
zgO~Oe_U+pTa;08gIhD&NJJCpy(ME&-l8)Wa;(7V<Zn20HKZ~131H?1<M_`TOxW_Wy
z?OaY^f&lpuFt1w1tc%Ptm4Mng5t73C1>JC?F*iHg1+0b~GpQ)xw7C}_zW_1E3kJ&I
zQ%gVh>A<PLivw>C{GCaehM70}%@yWa$if@V2hD@#_sqA=zkzIcfpg0FG3O=DTWGhj
zWUe9TyWz7goY9y0EjRf@!!uTnX)W;IlVg)_yH`FOKG+k=<Sk|a<YMy15Taiiu6)3R
z`e%4tA60}_AqWFUrB=~G$Br%kQg&`wA6y-u>@ClTcU1|xYQpJ`2Lq3!+oXi5x9_qj
z>DoHiVs$-J4JUF@o`2vDm~)#Y>en4piWORyVzh9+erRE3K`!cyvEoJ-;f*yOj6NyA
zHt_lM9qLJgKuwmgYk9XzI#Plj)IZ4%F<lGQ2TvfbMFueW-s|?b6BgxC*;AHezExWn
zZM{!yrD#>4lutr+6B?}kYN6^q`{-~8WdU8Ri9lm`S2?aY;0f#lsidBeT{ik_$WN*A
zxVGLr_xQcJ#SwMx`0Yy&IyyG*snaN+9lA2b5w-2p+kPDKkW@TWSGk;~yU;}^Z`~P;
zhxtw@1DS%eCV&#|Jd_5JE|X1n0Gq{)mGG((GJMV|b;QI*!l**9H2^Dv$cwnhl*$(c
z$qxtXuel$P%bGj-j^!ti0GWDlt2U^L697-H-C5+`HDOuSojmAwFywuh|1jW7aLxtk
zeK1BQa43_|3Pr<!9IsZ&4T6)agw()_JD?_eQP4O_2-S%~ZK~GJ=b81PQm%yEk*{1F
zWSr19h2jA~2Jtj#G0@boRhNH!76?9*FUF8e!XYUb&^r)EbVnSWbIhg{`JfkB+J^0c
zjW170x-jOW-?QR5{%NE~j}j3Pm;Q#wmFSYJ6cDosT606G=qBP8Z9>{kp3Y$xS}HFJ
zSQe32;pwaKy2FSM&kMWnA*PdzGb+uALW%wfMk^&R1JbIXTys8#b0J^+0Y2zvbIvIj
zwhfI2_d-+>c}>&kcQP?~1rVK|z<Uu{LQ=hh%1yd&4^54Y7z;V%w5qAHFR~IyVIs3T
z>94s(f?>@931|r>C}%zI4fxF!O|4Rn+<?fDC%Zhdi6jtsw`#Q>QgpUNIG09_5Lc2-
zZyY!{4?I}B5)4VMLD>=~#aOghsPpJj)ZhVE&g2ObCYU5fx55!Jobb3s(-cp0O<Kf}
z8*VmjUV}gcpNCE^6anu?@@JW#uBVkkm8nWu`a9Q@q)|eo%_YAOMLlB!%?kNEA$Ph-
z4mn{U+fjo+*clEW(PlDJ2$yiM2#(28D;(Z8H-}0t6(xOZ1Wi5}uj&N?mnEDL3&+}$
zd8za^R>lk?YZ8S>;vhT>1wmdQECUgY#g!r6!F`fhM6!!u4Yd&(5ticcfqZVJ%Djx2
z3~CXUekPH`MH=35I6%^Qnn4^k$!vhvNf{|Zt;B7GS~gjks%i?<LAC?9A6J7_UMT%6
zrZM$oq6jC&07gxyREJIkO({eDqNMP4X?_9=GdN>}cQkIu7aqoinM7w!B!&N-7nhVT
zT^i7rY(>t8P2n;;mXby3x=sqP8cAqyfk5`r@96F5JYa*vLXHl4F`}waV!3F>2t72_
zXr$hd1~(BQ^eu>P7~&z^D$mU=OC5^7Ncu{NeOSk_9xIOObLQ`{ISDi9dgYZemiraq
z^2y*CA~|+!XU+28{sF`(*JFoWM|^Usb9tXx+EC5=CqXprN->xb4vl}l=&$AcI0c|E
zlqytae)7oiqubll)3PYbns#7+-{0P7aVAOuD}=*)VMiIxrkTcHn9q{iwT}GdnCYE9
zDJjFL`L(OBzI=bR7ELWKuCCTUmMfRb&`skM@+b_*8wTfrGCfiuGT>L17#tb%mVUFf
zfA0nT?a?RJYE=ki0u82<$Ylw93?`FLhG8#u(YHhVoN%q$YLza#@X|tIX?p+uqYwsT
zhByYm=0g<FzKSk0OhAFi(1m4b!DZLAwoQvi7s2v)5u7%zksX3xI(~~=%LF0_Ylp13
zMfeB(5+^+~z+se6+m=4I3EgJ(Zejv^0dsn^qnM$36?)Z;<V$A$mIJwNqDh<s%9XOj
zgG{zQTj<2H2ozJXDP)6u9z_1pj?U%(eI4xJq>({|9c;YujXS~FLIv|Ms$v{S35u`=
z^B(Z7f+<G{nyNL@>2sf}ioGB3;3w8;jF0SjNJ)ZptvCFC_Mi-z(~lb*@Xu!-T+Q(0
zZudt&{DIu#YePow+tUuT%07&sKe{P`vor>AqK|z6oyo`0?i_=MeK`my{|TL|eLxrn
zrkYDXT1~1aR)q;;HJ;?*^sT+{8nUXPUWE6cs3s7SDaYj(ZQmLIOsawWhkbQvx$kp2
zI@}#_7;cIHbgrgoFKI!ER_Ee6pE}PlF$77X|Mht=ox4Mb(bCDKSrUJk)q}em_|u@N
zBY#c-khpxIVs62GVNnk3={QS1<Ql(z68!9#Vrlf*n6m_JPXftXEU8?LLb9A7gWYMx
zUBupa_~_bYOS47QK8NFa;o(T+P_O4k7Z(rdJ2E@iK4@C;ivdi-o4*S9o*Br{9yAq{
ze#lh8dFtf05S?*SDFTz}{rk%Hi49!r<N?IhK;}so5wEw-UzjQ05l<5=5Kb=~T$m}X
zQf^ANBAJPzi!w$?a&`_K!%e<Kg6w?*FQPqnI?;v2!w1JVHtcqt7xl6m8`+-j2j33d
zT&#ZV(J{W{u`_bBoCqdTL)K1O3xB~}9d|3;=FtUK!61GYN+>NhM|aMIzn<A55C<P8
z!pw8|YBe9pb!sS>8Q@c$Tts_v!nS^#V3{xIq<lpMBG9vJw)X0pq6llapyjKTyymUJ
z58+YsA$%=nke?W#mJ3I!(fHA5@MZL^A@?qcUS22WR<LT??asb^-E`}~Qj<<<HJ1*w
z(w&8UopyWnG>19JW(p5Z4*m5av4w<Y*mF9XB7rD5rB8!F^{K#10<R)_<wJqb1ilpb
zqrkTU-{q#{N!#6AVccVaU~tZGJBT7^{_q7}b@3UtpSYWPa%06}ZarZMKiQys7pI}g
zIfdQ|mTv0lS-fit`-xF_y<k0mRsR;Axm#!({ZH`KxRT8<P%a8HNf#LAv5aKdi%YmX
zodIIx6Yd{HtnRD0hKDj6t2WDl)-@_9V`5RQ!%a>ePz$Ha!oopsvxvQ6NM);p4j6ND
zD0GT1bEQ5`g+e#$JM<|rYsQ=oJuPHLFS_!|lfS&&S?Ye|BOmE5>-Y_kE3drrnj5Y>
zc;15#KKRPTPN%cnUDCcQPhPa#HJ7T483uzxyJ5_oOJ5#u5g0MqIr@z-KuzX3PWaBv
zVCdP#+_JR1ociJyzgR1LVQTc_x88ayaj;W=I6iTMrFC(2bE$j5ZMWTa!zDGekol>n
z=BH9idcFOrPkriCp5)G=f2Xa^xQ~y<No4r93I9nLR0UbvX${n{+M?M7<Fm#phMS@F
z6jl@^utk1SRvjP6pMr0d*M1arz6U!5aZ(l)@R}{_`}(UpRbDHo-5&f0Zf2I7u|r*R
z*3w7D3;fW8W!Yq5C&CEKJlFuf(FBEV#NxrPP^dLMJ<T@_v>6QkHrW0^@&tqIv;X&*
z+SFk5o3l7Qk=Jox&ezuY&gSM7S8Q&8mA>yp8Z#~Z3>3%IRI6E>{WtuWLeAPsC^Y`k
zM(AYF9N*!K;lS1Tp*`G>Vxy99l-l=<(QlgbfB0Iu>g$iq<Kwk&{@DJxxfr%gvJb$F
zz@TO!4-2c7Ckc4;*9(Yk+fgROJi!9KqTDVOo10+<tQ@=jAo?*`fSFSRYp*(Q4gILv
zPkMWGwN@`3Lu;y5g>+b5Fhq}Xwr%av0LVy~xZ~VQ)qJ~BBg@LnJ`{CipE83%u#8m~
z1zN=!{RxbhxeV?4R6U&zfy|kV%*;;1%w1-l^Ob5k?GhE5t@IxLwNj~c*>njZi}QXx
zoUin}%Wz1#OxnLogXLT9zWeTY{O<dRFoUm*m?B2uVDS8eN1oo<{~~oLG+jPMpG2Qs
zz{@fK;mmq)Xo?KR<BTn)un+m2WtZr}&>k+DPwu??J!a>d-~42o*U_79I%;+vgT#WQ
zW&$_dV7~}(`I@|UO<?*lSOWXSHKl_+%@TS#aF|$|>jL+~FG#y%|E-e4vVB84LZ!4=
z7k^+|)Gj0#BWYPU1zKHP!?3(1*U14E7j)a}-Z{U<HN#U_#$4yAPgS?vW$c^Y70YSg
zR=1?RKFdN`1qu&e2z^4jK;>x#7$jAsW-!h2Fu+U{^q|DSMKPgB+Coc;@w4^pOy;%x
zRWg}t`Rg+D@iM{1#7sc!;Ii>2f!W7_0wFg@5F9Bo0A=6WLP8*8P9iDk5mW0Up)gj|
zAjZ`sdH(QaBj=R02O{jbE`fyEbY>R?0(ddpXfXVULge(nGue1Orke~I1scspe|O)4
z<1Fmk?Kd0Ed?`bE;56uM;Sf>AWSXtEpeF_l!;Mz8HdVmG4ZfZjIoofa2jA&qff`xi
zE>zq(eI$j`#L39-Hy<Zx9P~MEV44`69t}_H%jUf0x4cwfYIhIbUz15jGnpRzZ<)JF
zcB)BlF6V6jn{v-{Hn*;+H_zYR?sSY1((?Ju`ZZgdj+r~Od){&+xq8{9$9I#-#Z<PQ
z%N_ihsQTK<N(Wer)V$|)XOA4+e+Mc8pceR;J@c{W=jo^I?t<sC2gTXT?Cw788S~-L
zaxs5iGP$&R*<~jR=_5PG_WcvpqZ-&ZJvTpC*d8vgy5ZU9K0&?XtM0W$Ok(=S)CeN8
zZpjiGf{QDP?3~#X_(NWQeeQ?3|IBYDG4tym;nVKLZ_vtI^a0aA?Wbn9r0a2icLGk4
zmji+av<6=cJTO9R7s+y={fJHXA}c&?^u9X2kkQ89)o|jCH9p*cYmPPUnS!>(>J^14
z#OwdVf4<L~?=fELAd?+n#7ttyB`n*4QT9iSKle}}W##2yxx*ru&s~^`Gr#Q!nf%Ir
ze=kVc-t8+_+Qb=PGkQ_JSj>+%+bjNt`Pkm>+`B!xKhs8Fl)@|fXe=1~s=xWw1MSSC
z{^sa=KD`X!%c^H8Fb4vCdPn3$51{2i<gut!iFU&-$^NsckZf@4=G3#E^{mct`}pzg
zVdq(Q+%fw8dmbR==bllPykuu6FXDE4c<-He-n;Vf!w<jbJrB>!?|sU7IM{$E*^7Jm
zU?9wloP(C0BFpp7a#y;cb-Gwn$x2pCF62!bmN+N$$>?v@x-)};7B3kDA+oYzF-G8e
zH#tp{QlI%Xi?nR}X>(%}ddqIS7gym<tghLbo~_p+Ms2C=RRXR;6~d_w%zUxYC_ZDM
zH3+V(?(D3tI)moI`ue`Ftncis#bW3$7Gv@278Vi*4_<un!2`*Kg<55PdwYAhuTuL%
zytRv2k}jcOz=R!nO(@JS(r-JFQgJ=({<3QZeN5A(TCEhkxDbmKK3|JHa20tv=B|1m
zR%<p7EG@d|4cu_~{PWLmuB^6hSX^9MyxyQ}X`L`0@Wq+*l4nLgK)XjCM|7b0JVfST
z8FBZDL(AvTM!h&97Y~m-s!4}7XU#N^eTMn<DY7fR9=sVbdA@|H35M`6obcB^XYN{7
zPW#oslRz{p3hPWUa5_V0GC5uNe>4QvfH9yKhN{{Mv*H<tm}BigveU;aX#qsf1ixt2
zT3f?MW6>i}7%72Z5|)F(hn(QYg8Ewnf!~D7tQebKG@4t<=O5A^dh3Uxv9}e9`{tz3
zAv;JNWFHeIFx&}0<tnFGnpx0+{nHB34pq<|0(E@7b12+rtw94R<gU8o++{+45OkjD
z@E80la4CYudPJ(mN48lyBS13#K`DM$EOuAC^wnbGuJ9ub;@NrOq!yuZ^JsK~$Ba2Z
z+$fGbUbM-r<U`>qutMetBRmk;adu1_{F5rwWC&imjR>)tBk^Fsby)6999ky~w_LOg
zn<8A9natBOJI?uWPATRbFVh}9dhh+t&gc{oxI69k{rcK@^z`Y|{NSgec~75iw@<h4
zJ$35d``h>O#Re#lfxr>sz;}@f8bqwz1up1^t)%zofq!AG<Q`xH*P#y9--B)xLZtW}
z`rYyyKF^6`2_r$Qzq*@KL@OBt<S{xkoAs0$Z5lBmJeGg420D$lb?~%Afpnd*_lPzA
z_#BVM*bF02UenS-ZQ61SBi_`yt|f=7hNXU!SGMXX(u^`bojJz_Oi~j(7|XxdUy&CN
zq0bMEmSAZa<~y*_)HYG3032Hru-O%0u9^N+&D2b%w_;Yi-P$kG@ST=J)Cvm7IK^6>
zPRrEr$;I8Fh+}Teytjx3Bn8lDq$t;^Xwc2$b6Pg3xfyohyYIz<Ztgd9F>{J|DkP0$
zubU#+jIGpkKXnoMdJx+(?lKW&Bt6P`{}*bOM(t>|_Urbn5+NNp0pm1MtLgTTXZo<1
z-QEhn(JSQp+#AqF?9OL%g=s=Ki$&#UEfy=aMI~-PpE4B<i-=_8Tjrq0X5!>X+>F|Q
z8nf2H3T%bM-N(~FvPY{1AiQc7bi7CuF@O}2jg450Jaq@S4xVB}iqGBn8io~FAs=Ji
zc@vl%YZd|e?tt<m{z~8zcq%cvFa_1kG9!;X43;c2f;_3gwtPNzY#|ou@Ht&eP^@YW
z4Wm_)(TAco_9O-*?_$^zA&shu&&VdL0}Ao~U>D<QYqR{LN?G;Fxpn>jbmDLZ*+C=U
zrEO&1E|sqhw%Uy*p;V>PJcKFVgJ(=v4ZtxV7#I3vr6GvJsn+N?vu!%<g@qM>iQ64q
zShG8)PVK-ijQ$FrD4d%9<IfBK<HP>Z|Mv=2OgMJ<>Z=b6bbj~78+YM`g27U0+tH-U
zAo`Iz9StE__OPVQi~XyFqmfE^0pm@zc4YLKiw|I?OC-w&F79`_^<~Gb)VrPj9eba1
z_wjxpdSb*%-1m6LY#U9^`v0upY%o}>NOxC8*ukzrbPbqV@J~K3SGJK+in7@Sk?omi
zao)kY?rTdlIvCTu*9ewkIoX7Oqeqs?44RA@5k>VTtFKRpw+2IDHfKe_%R(Z6lAc+a
zisKc^dJ8}?2jjCgsiX+O+=SXnkG6RRUyBQBc4}s#N2N+`WN;4i+iH&f`O9y6+o|*C
zp0i(EdLe2uCi?vH%a6~^o7bK=aRNJFGIc@-P$&xcec}XZ$5G{^;+Xx?)`^IPxKRWA
zl+lbNb;9Q~Bcs<o_x}(KNE_&f=Fy*_r=r;{2Vm2f+1Oq&mo*O^zWli>oo2JM@=%<Z
zD$@Jjj`x0|nRRP!_5=w&rJ+`mY9Qi*4mJhpU%bb@<?J^PfG>4{<yCDfLt%VJW^YC8
z=1|WJJ+i_$6iLs`zn!84mWa5yqE^!MZ)$I$NK<On6wb1mi7fT>m_^`L-%)t7w)$%&
zzc@|(0d?c;|28joTFrLQ$u?>==hI~8&IdzN8HjkjzJQDq4Q`WLT&{ZUmb`cqm@Yws
zL{|C@{79$pYV*8~X%iF?EH@pXQ?$1gtW}TI8Ff#_rU|1|tJNE^hK`Q9#3vj&1dlW|
zHFqKG4}5JRUTF7vl{{`rp*Y6q&Dm}zpZ5;UdWmQ#SgEY7!FaPQ0<ric=56qgG5IN6
zp!LVZd(_$Elt^8imv=mqJ4qVoOs0nqZ=LaO0!8#L-^JIc%MX8as}*=l$H7~p{OsF&
z*J-tv_U|4W9>qrJx%eB-fsK>Q6l&G>5PD~3*80<FFlMXmg9ne3%wUa>bMy=CaxFnB
z$=Shv`a91xe+^wvli78Ry{@ikMUMaNnllrpxXGl`P1zgt#ztCE>Y1T>+P_=oCR^rt
zhpxWvz(I#tx_q)hPORb-aFk)9UlhT5@Qszlg_*vCF7m3&&_z1^{=&ZEbKp6a)|;(x
zsE+S8(J+|Qs|ROi9dqwd;~YNp)Iooy)ymFvKqf(7SM{>3*38VzQ;v?Va+Vf%b`D&<
z4P(2#ef5Ezoy8?||BLOG<20Ic^D}w*oFo%@I9wvRr8nWZzlS`2Cl-MJ9Qbc=uFw!Q
zG|W{G27_rYAPZSa>`>$(5dv^a@~nHY?}onu8PRc=Hf+-?40Jqt$T+8Z#K@J(5<8Sv
z4uls#w)~`mnBF99YjM}ou619U`SBu7b@uIxfE<%f(-#HD<A6mvtR<3@ty~TZip*io
zLph1R2yj$b`wPfS_^puzSWr$9lVk>yckrZ0(E*8;vgeeDnZ-!dVyH$Vgpowe7jC}!
z=7X1BdXPvVh!J!on~mjg+KCplw}>+WK%&KLcJ!fzh2_JCmlqfH`J3pc{cA@-#^Qds
zieO2R*Ao27<ExJD*j_q{HY^yCIS(fx!1bgY^Y5RtbO*X0eMORe?q#?Q43rm%$6Hw}
zQkggoO!x?z;WoDtLEBcu?w)<C?qPgC28E04J%Pvm5;@=(1J3|8_q~D71^xlv?hqM|
zUWgPR_c9#1tnu4QjkeWkd3r~nV(wVGx#t*1wuW5+j`>WQ=75#M6&xs}7D1D!@9^@|
z=P;-qlOdJPCHc2{+nzJD!-OkQ%J#d&etRbM_yLKG2O?+3%2-=v7Xy{O991Y>)1ENo
ze2pvp^Tuc)^}+bfX<*Wz1JHY>H&{WS;n8}QZ}bP8ZpR+RZ_Gcf+?O}K@MZiv(sTIv
znEdb+ms5P7H2Wwsc+&xhYHyx`>nlaCgy2*dKPflO;WIUr{{W{iJih=;#NQ@J=wUIR
z&gIIDW>ek)fEgh4qJT}rk_p@<>fldED;sp(!Bo9mYqgep(|tnbc_Edi3B)sQc6P4$
zGen(1v*VxbbUF%d;v^?I)9<0ib&_~%fm=oCOj<rs(Ru-p;t!JoF^lLzh(#_}pIuw)
zt5RpGvoL*oJ{8So8n{;>qet>WN=f0tJcVBe;gL9Zq%*iTp{B?e2m}KZn-HyVr9WQ>
zJr$R$R5F`Su|yZ-1f)t6sX-SQ@#lk?mWhMkmPWP#G$W3S5*mWvcT7D`Y&x6N2d0XA
zb?(r4=<*V2R*p!Tl+78Ti-R*p{9&$CN|OGJg~<z(Vu~0aRHv14vs0~wNesu_XU)lG
zXL-sx&M8=!X+j{ggR#+jO)g93dmC|sQXB6eoPSvHNb`t0j|F*=W1d6SD!j2`Ra}>{
zBzeR&Zy!2_f)`1>&_Pw6v<`AKi`s_l5qRryN&IRZ2Y*FXi7z3phoLO|*!{X6H%j=P
zl<2Mr=F*kFlgAQ}jYP~isYn=2102dvQ?8g*YzzL+QPmX!ALZX3`*Y_ww&FI~3^4Se
zQ`1<tCQ`ZbFpRa$i1&w}H-MyD*$O453@40Vy*1pSpbTw0p`qKdg+kr!gx9t^a1Ij0
zXukCJS^<B-)HAyCt!}T`hS)rc*IUlq*q-iJ4^-i>8qI~#!`Q1c8Q6zc-&|A1lho3s
zmtPvkweO;>t+=v#g?rmXR`F!<R5E_U>t6Rd;HE>tsnPqJ<~>S4S!lJkw+n^hD`J4E
z5wW+j)$`BGuBNM^Utw~me$#vuY?uak0gF8U`K(_o8muoocvw@uoYw=g#@KxWk~@1m
zHR&4Gtvwl<6BH+ACp$jv@V7D)6NB>hr$7DaDVI30(cj~b7`zjyJl6Z4bW--mBEjrO
zJ~8^+VDx|8{O-Hm;MFf<z{rg+`?=43?)qoqetjh@SSOET7#Y)I>CyXvSWlk(PAZjl
z4w%SnrnMC<fBT<C@5d7{|Ji6RFVBSopZ@fx{{Uryo=bM8KQf;;?<b4WFmSuF?Tx*t
zt>un;^|?W-Ah+Ek-H0?TRucmki6Tb4IO{fyz37%z<oKl6^8aTT%CSyW8W0i1flkuN
z=41G@m1l89nz~B?|F~9^Rt^@p)w}L5C*njszEc`G;Kp+=yz8#JEW$E?%lp?l@X~j^
zrJNVeB1nkkK2_8`mDB&fDnZ9eJzoHNqkLO2m84loFIJiZw7a@|<bNn{x{{>-f(}zD
zE$gO|<vE}YrW%z>i_<wfZ{DCnDy;T8>%Ub+*Ny*{={!+Hl!q`xXR{2*MkCXiZAvTW
zNPS>Ampw<#&7+ZVMx(hJ!676J0@8oH^)M1>(J8$%l`3vCI3Gk4%-7kSxPMUohtK?F
ziWO6-ca|KUU14(<^1o*fI@^h?R}Y|28FQ1G(f&O3S1x~*)Y1r7#@h~GyG;l3o-A<U
zg~%Lghc^QS)1;2DkN26qewF@Sw*4CY8vK%!Jx7w;tKk3D66rnT@p2_X5<ZNI?(q}h
zAQ8)uOI-4BA<d-0*ek|@$a@h7-%6bBFx;flQjGzT6~PoKpKAQ^NDYW71UAQOHgFXp
z3K}0n;zy!|%0bq|Cp3w?XMF=yP$F>Ur7fVcDyYRI%Imr&M*7RVhnm2N$5y#mw2-I%
zF#b!~EMuH-N8O;n73Ci>@flhti@?)CvA7QsgF03%>dy{8($D8^QD&>zl^MrZB-$dZ
z<l;E!3Qm%vgLU0em#FkaJ2e~(N}OrCqU>8VM3Tovitsv!i)VM39n`oaumTildh5)_
z%c35Rs4UO*X~%P8UNm$MPO0QAj+m=)re)?}`y#7FI@8Sn!kj3D%{n74m2j^lKG}1H
zX6W+Tv)w-D0`^M3D=+2z>#i3DK=%$->}WLWd0rTpE2ttt>HTiLfctv+f(V%d=}udt
zTobAN8T^PcD#Ba@#kl6FugA!uzrf1or%fD4b2|fFMiY!_O=BHmZPzPNVhvs$6TR+>
zHkbVY>+1)DkbC5+Y8S`ccqo;g`FQ<z+Sec3Eq=3xRJwttbQ(UT__VLbRz`nX-oC&e
zyH<Pfdq_#9|0`GlQ-cg4?psgaZ&J?2#x*-wx}Dfkf38EUxjQx0P4=(s`o`O_%3<`%
z`|i8%qJz*L9_z7BI!C}T&9Me;2YyVETK%q`!g>TudXm1?E_upKcCDYY3quO7v>Iy~
z2WpV<tku%2^Yq(as+pU%7R^zKJ#s8mVWFo;gP`^iwa`9OM@tK*luGlQ(e$(ZFZS`&
z-$;W`7ENQU$8MB*M;WZ4wc+%1sSem)*<<=4*M!#BLww;^?~!nRtzMd*9<Hwu*H^2J
z{@3CHEL2rFR+_1GCwOf4mRoj@1@-+cD%7Q(_>)`Mo}Q`^FHlV5!x<F{L6&H(josai
zX1&hz1YZ+h-E`4SrD{{tb4yEef1fC1;sO>%pSdu*y)!@WIP>#6JNxGCI<S{^9{Ulr
zGtb0k+|g2Uv{Whz#vHTPjyOo5+XLPC38~&MqVRq$X>rPzT=S&s-wHDne>dV-IasTu
zL$^LLr5fFEUzRoNmRmlQOg@COi}`W9djgOB4K}(T--DOG2`>Bv*p1H3r8(wom<9uw
z6wAGcTk$t6({s+D$)2-iC@h9<SZ0?nRm<$~H_q-U1B5I7h;OE)d}=6UFQL+QV>sC`
zHw}lwi!Z<VJ@}b*ht*@4oU;8y8Q!On>Xs^%O0?z?q#G)`)fW1`V9A-nU$<xufq-JF
zVU!lF@Km%iH#ZmQr5co2N)4Wb`LjBly=H!XzP_HHBU{DhmEHC8&O2}Sx&_naLW705
z>3Y51YfO8kQmI~UT-)pQa=qL&xbIYQm5Zr6U58&xCcBBwA_H(H+CRuGEyq`P*g2P)
ze;!0>CwBa2$(fki%6^9%yeaxDvPqOmi>1Yz@Sb~0{E8=2&2DXy)AC{SF#L4_l;WEL
zcQCGKwoNr8Jn?YA4}bP)#ucqpr}<}G&E!4rfhB8}uvzw7hHgz!5wvsO9w%wF-x_}7
z`0?XgTgR_qex=EDf>2cM9~3s+VCJCNCeKnSMZ$5SkpLM;7o#%^P6i~iT5W-efvGc1
zE>{vsV+u;A;^eqbV;hD`)jzSqjeGuE^_7pD;_){VQ&YX!dLyzGTiAEx$ilwp=op!q
zvhh?JcpI`+rBX;(L2p%%@$;=_c*9*-*j*pQ3h6Xdf-t8-K2-|G^2)etuK-=N6VmFE
za$vJh{BNWW8^`Sph7+)JA8>kRaP7Wh$M$dMMlS-gC=_09uQ>bg8J$g?DxZJi$}6}2
zimbtF>&L<~eL!7*e*5xlx3{*o^J7<Ev$hto*Bh_jCHaR5D(tNHwAy!z(K{To(dQ7z
z({FjpTQG<%FQ0#bfSi|?FF3UL=H}=-P(sIn+Tr4)?=ADTx4muO_Jzv|cwN3w-=_c8
z)(f5K{?G;x_w_xk=XQ`xzG*%V|6aE^anb{FNp<sCBCaiZTC>Rxle0&p9pM<v8po|l
zZCGMN@tzDP(fP9K+c_8tpLgQPPd=(|qS#RixZeEE(Vb%}e=ryfz&mfxO-+d#C>DzH
z=pyhXluoBWMkVJntOrOw;V@iR4uw=2X&Xsw`}`+8`RJigcvtnJ)M8<EgV>P@g|**j
zu6jx(R4fjni1x%>c?>-wzOcMx=L_n5WZK+p0yq|Q^>7=6g0U}{pjq(X`@v(MFu#RA
z!Xh&%&=--hZp7RPYH%7!-<nR)o*8}fdj-B#vYV8FG}L&n%5#E<wk^xrs&AFFb!oqO
z8TR~NalHd>__#-C(lxGoqv!p+8(H+iU*YC{2Oi~-M;?Jk^}g(d_x-9DAu`<Euc9}F
z-5VnA11jpii(39uIJDrp$K(cZmFr#{4!<=V?z-M*;4I(ox-b3mm%q%C6n?Mk&i_(4
zJb=IqRrChey)f*)Cmf!3CvqLK$!YYfIdT<TgJd^}%jdylBCvWO{B*<u`9y^SJeT}+
zw#qycgFs{1n;BTWD2#$79~wIpR4}TFFre&VcB`~@nV%(Mtcs6%Hdm|SslI_ydG*Ia
z<w~c8*U5pK%Z&@1c6((Nr-FZ`WQ~xoU@cGI<Cb1<<%TgM2lt0fsn`M4iV;w1cR*P*
zDb;qi?v-}ixuT;2xqPF1*B}+Vja~8)T775=JfJw~zscc402qRQ8+@be)I-#>r&c>o
z$Svi_?~=GHaZ~F&8c$^Z^_afB#gE|S(Z!)NIoOi=SdF2#CXwE@VP?krfYGK!h=bK9
z%`H$ipQ}0(b&8FKR-?_tPQk04b-Coa_DVXYH+9&zwk2h$UR{T2&NsD)+uJ(J_NzWP
zEb8#zlY023^Ur<zHS1m!sa3Q`H*FrqfwP8|h*^b`iw`0JJFY|qu-W)jD)JG9Ac1lS
zR0P}*NP%w5i>ELRAcAi-8mRe5I<DwV>XA3Q)p4PELa)YH$D4*ZF1LUPT)e^+1w2D{
zQFkz^Ol|lpBg(;+Ri~&ENDVP$`lo;;1*)6SKII?hT!jjvRumeBtsaXMKiHx8Iz~_u
zjiwV4bTYghk&yz%Ag(r)`2OYO8pI%l@Id7R^GOxX9q9o95LSLXs>i3)%cP-gzyU<b
zw?Ne#g7gpu8Z@Pf@N4j-m_w7!?x>f}L;>{_#1BOY>C-Lh-f0F&gjOXPf|8+j&BRE?
zmb1}_sN4{?xDU!kqD36d`6igJ2+A>ciNgf>*Eudj8+aTvk*$|(540k_hshN9Sp+_Y
zDt2yQ{~~7@PZv$mD73cRb;HCWgGJI3tu)pi^|#D{XYvC|Db{W8+aE82QyHGwFD)0V
zoPCQw5eGM5&$<7TU;c5OA-+!ke40lYN43HBmDxy)R%R5*W^&%swgFo53fFC?Uz+~V
zRUdf%Z9ize<c+!2rBCmBR-zc1X(Vu>Le2ng0Sn~i$NSZUGAt{3?O=)&l^2JTOY0{p
zxvkiXbI*F&%*D6N<gWS2?VF?7e!Ln2R7Doo0322zZ~}Y8DeL3?l)$qBFGHI8MZA+f
zANW3=Bh%0VpE!00SQ3~pe)zpFMxyWc;}|t33H|on{(L4tGLd}Y#~w(%iCxc<4h&In
z#(SOPMKe*T`3c(O$}6j^&Mpp7o=OXV;Qz!&p#lIb$}LJxQJi=tt^)rzRRd!Cdf{=7
zTR$YL#=~&x-|YB|qHa)!{URKk?2z}8I8pzAnD?G@Z}9ku+h@9o#O)_eIA(1LSEC<1
zNQ#Qv6Y*~U_7lg0xC||>nL`mTMffyCo@tYak(f9VAuLfp3B@8;$xq;GVKOWXCf&_I
zHfoMj8wd+j*7E&!58g+1Pb#tBL}wytC+|c-I6E2{L{i|v0*Vt%MK&S_HAPTuYjQAS
zA6o6SamRzJTI`VSve6Th#iZ|a*3j~0I*YSL#H<WE6J*|za8nq0P6>uXIX6X5;ujBx
zM34-JO@K&;Pi~@Zb5a-X!>*4Xy4m+bzq{~8Ot&MElylhMEGC6jl8hvGE@i!jhCwn2
zD2FewL7|c*C;FgWW?-k&kpd@cV_iDd;SC>PWc8qHmnFIH`KU)ywfb)1K7x*2B3Ks8
zyGQq#myGW7WpDEm|NFrM^Yh+~#y!p*=;KCrM!DT)+z=L7b3X#~IcJRCq5Z=0_0K47
zb-M-_?ydb)qdBDeJ`L}Ant0+4_if`Od=5g68@Oy(s(^G?9%#}J&By=jPp*B{Yj1tZ
zt*?2~lb&?lldqkGN8EewR~KJ!$t7<;uzBDLaazlps=sX8<zD0=ms#2j%m$W0%RNly
z%}WATA+g>9y}BEZ`<DfNnh3JD2i}Kg;co?gn-k?1h^Gk?$W94H^M+0SrdFF7$dTmi
z7Q=a*Aa49s^xY!IU+3=BL{#OdjeIwjqW>lLN#-9H)XY&v(5)fv7G*`!uzy_2qi6m7
zrLxW!S+R8$I7<<1s=`0x^r7XiE+4w?_S*~3d*1Vc?$6{?**ovN({Y}SBJB46;PruL
zKl|B^b0_iY=M)-!`7i$BFLJ5T*V4KFJ~{9YW_9$tW;GTWeTenI`vg`It#{8)<v0Bz
zZP3%rrvMrPh9DT)4~$Nx2a06kMD~;6S?9dSsq{6mYT~U#fW{t*EhmmdPB7h^(XGiW
zDHER`en<KXfYGC%?F-2*6TM1|9)>=2a}o4dFG7!XKG?@f&f`;Bv7!@pRE)W0UBqVF
ze}54o?}b2&X{oWH(-Z4XW)Wan1|?4K!f*N3SWch{@i7XC0ffx*YXwq!$Zm6nGt!ng
zDRFU7b8-9jQUmj*Ru-E(A@pdO-<mA8s#R2*Z;NLdXc=R%8d(~3$P-hl#7?jyzbaD`
zMn>QfvM8DoBo~H%5D!6WVF5wB8o>@-DacLej)5)3MFJ#K2d*gownUM1<K){lZ#dHK
z5Z~f@om~3itRuXyeD>iq;H%O)*QZwPMUbYsfc2h)gCT+pBF9$+u;g5YJZuEdh(Qt(
z0>#3k*W)t}f+t9IoJk&H$2pjW(1kLoJy$_96nN~@=Fi9%SVL~OGVtZVHv|8Z6%pOz
zcs)d0WgE{nl9eKmvwcUSv8Hffg+~Mi@uz4EXXvdh5OMvGG78bmYk0}BG<s5E^m;w3
zf<`Ry`2^7p=^<Hfu)0Ik#3h$i2Dyt;N~(e#-<A+>z0Mp%yoJO_!S=sxNec>xEhneR
zO|YhNTjHE`6@lp3bU4%vAFVZ&+dA`u75?lG+NRYe;(up*KR9LM?fu(qkA}EJt#2GS
zu(4iesoT5#@;t~SaClyrUZGR4W#_&|$Kq7sMot2m;ubs-FT+GfBcyN?|BL;Cl>(#*
z7-fVWY!~pIuH$CFl|a8zj$z1S+@&JerlNSw{)KuJloOadu0n7?9jF(0Z|^DN?~m>d
zhn;r2I~*Q6HXL^StwYM)3DEu8p|e{@T{nAktTpvkGC4DX;Fm*g3D^@x4jmeg)UpM#
zTSwgD94;gp`HZMw4D}B{s(K(doGfBzVXzk3I0Y0I8*Zp@P&XUAk!s%;2iPNG7Gbnu
zfWZJMUI-*6;Z~d&CgJj)?J2M;!$8ooQifpI9Q=L1Z$8C(a2T6OAn)rsWQUYJL>jRY
zt0BX#Y-4>rO@1w#kl3>&7*QHft64jK$5R~=!BAxAFeH5u&90>7KgF}5eG3{JLHZtl
zMu{H5xP;xIc<XU?V%=}u(nes#(<cppOPa@z=8Dnt&Wjew2_7L^HBcT&6Umu%SbV3H
zU~(4vM@hbhe4x~m=>8FMj`p=bQNnJS9(~rNom#bn0|8o+lqtOMg$1~bbg)}%B0oE6
z!)lm#?32V!pAKwbIeG;Y^n-!FfQrso?w|`L)KmD+u?nwXxBMry+8sL`^qYAMcR3-u
z&`zB=;NO1Jc)YE<iYENf2ecA%dnQQG8~8}6njpevEN|IckjzX2TGJGc@Kme{ga>Ko
zK39a&yBNCI>%Ys=j!P-yw|hxc-BYe9{l?=(D}c5=^YQ5Xz9%`o>80h~I!qN#xCdeM
z<o*u$W-4=Je%^IL=_*)85tNGU6nd#*Apr`|^z<ecQ;>9HhUG#l-9lq_K=As7Gkvd)
zW5w&l2b#8P-1%Su|Bo5A7O?kd_p&|K>#n=*e!S-5kyI*^Z8i}})0sMgWCF_u0$mu}
zd>nDa^YXb4(>xT5<f_HEXWkIc<pk*6+`bjf^6YGG12c$RX=3O+vpC5xU*d^IbNkfc
zBU697ggzTrF$azm^I<+mqU>;yY=$P??(}CG!QeH^RXnm#)uy75#givJw*!~v2KOb<
zhd}bN)Zw4+dMVdE+-Y;9KfU{Ovdm)<rM^NrKegXvQc0|OM45oq!xfO~Vc-gdm;ur!
zlFY|amcN_ur8|tT&J*#a8ZHwrEXcmVB<x!~=8rRro@L%LdZ)Q<^iGt6`0JS4{O_8x
zv%6F;0Dc*dB|{*|#Y*US`%ye}rwF*qkVE6VwV=75Q_eZ{ZOd0Zd83%ytk=_pXtap@
z7uvoVIF@z>L_6<tat4Zr3_kW);FR-n69Dn%_P~444%=BGCqss`Z)CNKzcP0W59TYr
z*v~T|tJ&{f$3I67TaSAlP&RsA|18fp^`jqS=^`XdPKg@1zOU`TLf_L~?Dy4f?B`rv
zS&EtUJF7S~Y(w%>ojA+HG^z@;n@B97M2E%0*=7_~d**eITg>#4Y~r@uP{rO`jmNg(
zK~fzOHxR)dhLsEV8PSP0;<DL}#jDe&<eT_hC>Mg3<6HuXW4v5~7m0|ud9IHB=o0t;
z=puV#J8Rf3UxTzAV7ZktKufpUORXqMLHl?FVn`2X-!vA$4s5Fc=+O8Ih%P}AEN7tR
zRd<a^H)VMHqyzaE9BF$Tp56B2;BjzveP<kB*GFlnqV#(=6oSdMaBF%S<1NAHTigA<
z^M7J#%!BZZE(bYFb6lWMQaaI~bQmPb#knk*)#8TIOzr`e1JpViiMk(pJfx1%?_YDx
zHRTd9(B~anUUHnprSs-`pPFfhSCT<c%=`UqZe3}5=odiOaeihbBogVQyvM@Arf2DN
z2+<6J`W4PY4W$9I=|-(b8Wa%_HuK#Hw#eSJx}&d_N~Np%`_5YgtYc|uSKs+PelDk2
zWB#4lk8Crr@|;YVzP3l-a!HUjM|;(klW#DI`R!|a)V)>!w0opO(4Moro@yJ?-s*39
z&Mp!nDdjV|sJ%7o3NoVV+Pa?VnS4w7RPEZk_X=`)FSFM_SNBrp{#1|dQ@yQT*TT4t
zj>|8t^Y!K|bGjZZ#2S!wh<V9N<O>mk_X?;S*xi&-D&dyBc(D-i8u6mj_;KRfg<OMv
z!T%<2=khQ#C~T#&gF!JlpDd9`C^an1gtxZbL2)yk?oXE!^NF$>iU-5lifg9JtUS%;
z;!M3BO~M5_*|1ACR?o=383jpAcTj}Phl+86jJdH$5tu$)bEgu;V51Q%ChGD*NqCDO
z=x`t04Y)PLv!rH|<=#vty-}WZb@kF(Hr<;krRLIw!E`FKQ5d)zOK_TGgUz9|b(7J0
zeX!VQf<ZIwRkGn=BIFiDTf@k4pSQVB>-ZzA1nz+s*(=MbNu}P>+n>mUU*+vQCO%Xh
z#6;`mIV>5?UqbNvrZ+gv?{SWy6Sv2Dss?QvKC_elvhx&w@IfBSmJ0e4*97)@4ej0j
zR{kz!0{d2{dERlN`3J4CT%!r7#Xw#_>xWBcvAc3r8I7&o>qeTZD+jMT!ct2T0)#r!
zGzCrCl&?IAy%dEq5pm7N`V(8>zrQ*^`g(nH^Sp0GfBUychhQ#XSqBNyQVWq>=cYIR
z{bbh?;V6WG06fOPfjOM3%{jq~zc>2oXFvPd<xV2La`4FdT2pj10*>4F&BuvZxBwl<
zE0N9YYQr$LZ=Yx)zo^M9W;PAV&NFt6Nx@0T0ZXARim#$AWEsKnq=2-J4^jkvnlMVq
zWc>Sb71B1HOCj^T4sJPK11vxQ6Al7U;gu`%M1;BFQn6A^|JNYAGYkePJV<CDbV^8L
zE{R?|=*6+Onqj(DL%@hdo3J?D>FF%EYf^<nVdc9ydPl3-#0nhDEmW%bd#xThe56x;
z#ayeM21YPOQX<Fg;3yF%Gx^d~sZ6)RpZyw+Lj*Zus)&_gV94ehpQ$%$r9?EFEjHKJ
zj~qSJ>!Rdy3w0+rx4jJz8;)J1#7N+Fnn$Pj{&*r9j22M?m{urUPX*zNzy}G8tln$D
z8irY3E*-Q2e6LV!vQQ^fIe8RGG>k|Kyus!>$Ys293jKuHH-Gf1;nEU@@gC|@rB-X)
z_nFUp=8+8gwkzjmM}f~UQfjrMhbvX{EvA&!&o6Pk9J(#&aL`h-JfA_RSML?i8D4ec
z#!sy8eBc8gF!SFwrP2G}uleac_V0m1=(x{Asy~b@|J1-w1ztydB%Xdfjg695wr)Y5
zCMN@jLBiW=r6%9%avR6)ue@Z{!Exw}de|Qjs34^l)7;~+%i@E46|rP5jU;Kcr4hG0
zJr{r&Yz?JHM*i;6Hd^<Uh}kFVJ?H`@QQ0WH=nE2nmD+Sv2}~m3#5B@iq^GbI$D^*7
zz+D#SFt~06NE@k*vo9EY?lYS6&1^24Yh2VsyMR4ruJ^uX%GA*-SAhzd3Rmi826-S^
zid6CW?xK>p4KUE?W~*nWTk8bUV&-y9CzVg8O+J-_5l5gU7^d26LTNF$X!t500(niK
z8?jg^4+bjsr2eNr{pnqdlnv69Kpt?Rxa?O=rF?TSL6{&o-j%o$n#sojs+3o099N!;
ziM^=4?fK7tLlkq3j1$tq{He1;JXkDHMCZ9p)bzc9cY~1?=qrwHla43Ir9e~5H^ePI
zF}hKhC2dn(i_A8e{pxy>&5t{0Z{KV5qMXqPpx5apP8k~obWJUf%=I%}irqk6DiSX-
zlOZlZrXT7>BFt^zjafq5-dM?1Ou6u92x5g%dxBSP9@W-phq<djlS2dp<E1G?deQ=6
zghNvnDG<FJibtgjU~kw<MPjc74Ti+Q4douX-kHHSp1785q1HD}yBI6n#yUwXacSBK
zp@j^E8nOPjr_9jQjw);brAqRPqx;RN(fwy`<J4s9g{Z>m(&Qxwa(F7>+X*iRdnd$u
zP&$h#)&c44f<y{#6%vWpE|UR?P)bG0psI14DfB;?%<<OAlef5OlXbed@`!Fvp)bD;
zpM)A&{Z0}IGx1dsrkJZ~NDKR@JZt4VKbbtd_b4R_Of%Vf_KNU9pJw~#W{18&uX-fk
zGm*XD0kP7!auP?~K%5Winpan6=BAr45uiC>S`Sxiy>1KjArDB{MQ4hTZ8C(ssa!0=
zN4n`u;|=NFG_oZ*4C3+nZn>N&AfO?SG&T0qi4-sqGQi$BEry4j1*X{TZqDu7H!}bP
zkfy8k`?GVs1_={Ke?Gghu~<c!Q3;KH^FJ>vFLh=&H<zaS{bFW$Nx?!X#{a)Vw_X*v
z6zq;yK(l^1@X^4xVRPF+q}^feGp{pmhW+Rckj6AvVHQeI5FY}JeV!(Tw2kbynqq4P
z!!+jV4C`PkeF8^SN~MJ@L3>*yYili2)R=JXX>as_z3!&PAJcltsz)1(gaKeZai0=K
z8R`u?S^NpQ1#3eXQc>9{NlH03#tr&bhe<gpocx>At#9cz_09bAZ>wY<iv1Q#ONDjs
zlVbKDS}$AJ6GUE@iD&WA2sTiSE1R3Xnp~%yxt4!y>xZkN892wAoWI6uW*ZZ?#g(4t
zvE<m>RyD+j`nM*TcLR|?cnv)mb;$KPa~DG#lMV5eI0O3!Lz7Nnn9qiy<Qg>L1Fow-
zC$wB+?GNU#PKzIcWk>-6Uyv~4y7@XYRRJwZWr4a3Su~1mTrw6&PK;8`Mg1K8eej5s
z?9O57Os7LZs<TX55HjE}T!M!~A^%T_okD$(E9Fw+|2@L7pgkPqNbm^p0QxiG>C4dK
z^VY}6FTetDgt9?%i2-tqSIB`0;nLh($Jyn>{;?4a#rWLK0jeGHcD+z180`2P&Mvpd
ztwY?X+Z6Cgp^6|ne+P?TVa+};5A8oM5D1hGW6ZZ60H}z}8$-@C**TriO<WiaVrYSQ
zDz4~+7eZ(gX@{Hc_{c{-GAVTd8>oj(@WwDm`JtDy;1P9aAFGP<ls!si6zjon27`Qp
z6;AjMlp@C*CK){>(0(jjaDiW}H!0r}wRp)ZxG35c2cGmx-0g3mle`_ewq;lKtuoWc
z7rr&U*lSG#B5Hg0>)2ppb67xKGM4E5qWbhD`N=7hD#o-i5;}C~`tuJSm>nci^Yd3F
z!&9|zf+P&N0x5xuXpQ6L6kgS#_-wCRl7CpyggfoSVcZ*?FdlfNa;w#>fUXjr4I$r{
z&{lUd7U`iRKXKLecJMcD-`!0{D%F+Mqffo~lCGOP|3o63nQc}vun1?j2$X5+{PXd1
zYc>};Q#As^;0(M7>YSDnK5#G;Z0v7Wsvz{FDwX<D#R(le5O%7|7hQX3Ww}<3#19=N
z-2;9{k9`dQonM09$?NlOJQ3a!_yz2l9}9dT@F!qd{1ZYxoB<kMYyDDtsX;uoo86){
z_1hO??Y7$2Z@!`JgK@*z24!WRL7ky48h3+sfDbEY2GKP>{OZfLyqE&s_6lP?9|yE!
zOAcUKWn7Ps8GaLcEb(Aco}*luCCa~os#9UrrCs)?c2JEd>)9jRf{K<%sp$DPHK~##
z;uuxo<cZCDB}*}1pxBLOhlr3+uhl9Rlw*pp*Eyk5)TZVwZnx_eimeuN60ySr(}HZZ
z7-!IyEFgXXJ2?NEdPT_V0)Ovx3uV{6ClbMNjfk6Ose(Hh@p)75n8`A)B+-%D#s#^g
z?f(kTg47d<q;T!?Dn&1PdnSd{lD;Qdtu-}a%7tzR)&`fOisyD4X=Yim2aIky9lNL6
z%4Nxf!L0A}3gvJZIAgt%nO8dLM7dmN*5rFSJ46P-7%Jz8H!a7wa(U+G<Z;RLCT83J
z#)?3=3$UQ%kc&0s%h19*H_>X5Wic2`6^dmRHqa-dQT!Mv6K~)x0qFY_KxK(`dx2^1
zq>$UnVCy{zb+j9qni{}-1?zyS{}Ew^;Szw-KY_)DSGjls04mW=u&MC=#4rN3O>v!Q
zh_XstszSkVxp=pLr}Npv#Dmn-8r8ZSy!u3vkG>B#Tu9`|>j$oSyVdSIy_BS}E7fU2
zJ)C-tSeuOM%{KF79FA7PZnYth`cCIAwDzqQA?cvaq2SNLvhQgKHHfc!d>EeMLAZ-@
zplxv-S*oOql4b}=O5W$%?8%>Zz{ap|{jJ$BM;>_Kfy=8es$Tv}v$&-?bJv(>;_m&y
z!n;RnAN=44WADkE2S;u5=%`H+;zvin@(NzdxSVJ9$4ID~X+^gc^Ap(M`j^7Z-%h;y
z*8<-UjNs>O-e0o1`24{Z21%JDQAzO$v%#Y3A1TQ-&}I~|R+AxfLj1f8Dv~_m$tRjn
zrk;{&S!Z6$$!nqjJcvNLI-@#mViB$4zUyE?vMI-0R&&Ysa20%F?19nrEw)T*xQ~fI
zu=kn}jPY9r_#e6^vlBayZi|Uc4Lz4AC8hQgtL4dyvFF^%+C5)z!Po~%h8di93-eme
zJ#rYJUVSFnFr8cmbhGKHOqO1?-a>$O;zo>oo^F%EIGN0h-r<=`_MS)RT)|}>hoU=q
zVooZ6#)q800tnv$&fV4qn@XNxw5WL4Q5(rF(rtT*%)6SU5_lHfW-Xn|b|N>S`^k2i
zUb$}e|0On*>`JiWRLOdf?lNJzX>`57f>nbnq<Bg*U;!P1ptP~x5S3idIjLkRA4ips
zxES^j4_ZV*VbCj)L?e9Ar2Y#h68y`FWEkf}q(oi8RFZLB!GyXvEhZ|?&nf=b1iL^t
zK&%o!vg#AK&khE~QjQ#8(<Bq?fEl*iavF?77vJdrj!ooa_`Dt^qt4yt)#gpI?_(Bb
zTrsLFVaCSJ_CyuLemnd$IDEoumjjj@-U4JsVsv2!q1F&?-u&i#cuH0Y&QUo(aT_H-
z=hby&Rkvj|iu{_i7cw`tFv=(PEX$x0<MC!?qRDSt#|C+5xT4)2m-Fkk24P<f33xL`
z9^cGh7Z+-iA;#(){o4F<&_~MAgg15iBV2X*QrCus*BIaLWRc~*aoFJT{iYjVdTV`U
zXjd?`3;%j*|B!uNOdLvK?^i2q04~BxNC`hRky$e4f3>DykeL$L59og<R)o8Tq+(QL
zqFCS7XbDOR9~mL`M4}f<8?+qb1LgpsI)GFOS&W-h9o_`<PPSA5>C2m{AGl;=gAAkT
z>E1e?x~w~#8N=DW)tX<aH=?QS{U_!Iv#se^JQSI#HwvsQcu5264QNrKZ8aP?1puj{
zBrSNjM?5ffZL&igeLNX8jhmN9kFzd|nsTR-{+D}*Wl{6xQ7#)LnnC%7yM&7wJ(`FS
zuvs3=VRXVciWeW@1i%I`krzf+<Kzk4Oek9>^{&)$u&K>g%XNvU0Z0akQo;m}5v1}Q
z3G4h~H_P#pLs6sxgowxqW1hnLnnb3ECWuauWJ=IrtWwD){CzUjNL(c?3f5c}vtmrR
z07i}wd5pY>B;?GY5WqATbT#8yLnZHIGdP>q2u!I}o4sJLQmQw~71Eh|EScOHei4L%
z=I0TK6NxgjztNqlC)=R6Ct<gZTP)Vd#ukhu36QDR0kh==5v-%cQp!pg4XBAAR9vVB
z_U`Fgsf5i98bZEFvVDNQA(&g5GF3}c42MQyz9@jhaHY^hB=eGB$HhZ#K1X*6Czlo^
z-gOEF;!SBVdR-j$3zXJ?F-x5rLT;KM@_eq$S#H+zilyi#G8aCZu8Y3|J&`ws7#=1d
zfJi6G%f=g|0#j^RMUZSmdEUJ+`a#xFEwigZbL(Z7UADdQ;G>T|b@Y3io14#n-qr^{
zXzso4y3xJn-uCA{H~N<8V1LTs6ZxRIpOrI<@1I2q#CjuTYhH`<YCgy{bOkA#^1pfM
zrI*gk%;4kHe(=He<xKM0v!_;G@zJL~^=~e|_~OyuJpJjWF#4z6T{-p=f*ZJ&wRjd@
zpok8AAJP0b2VP+=G*99>tp0wTGEnpeTo0!r$+uz-^a$P%d01<s)r4A2uT{yh!v~i0
zEg5_08x!2>)hs0`k`fCtFjl`Y<5}tL0biZY<oBq5$YUv@SKpxFTXmhR&$<aeiqL0W
z5c;7RLbw;pBA!9tGHHqA&9Iu=UpCHHYrB5=9ECJ`R%yp??dKkz;F#!>)U}Uyp7!fn
z3N?`FO`MB=<pEtq19D$<&|Sp3ZRE2@j${|v8Wiq6qRqwZk(254S8{XDnENpB6J%sa
zk^31U#tRo2Ij-T#E*BX<xfsD7b2T0%{f-Q-{EEWb>Q~U*blpE1bL<#?`!Et*=V&gE
z`HUP$W@pEkf4mME8I(m6yOQ)!aU*^h@2VL_GHPC=LMGLW-PITuj9wX2K@<G~77N1R
zoZR~f6P&;AzFWwUx9|4*?z`{Qsry3r^14T_L}LByjZYo}a0X~$$kXq56!F2o>lh*I
z1S<Q#2sw}6jOZUD*ER`cQA)bu+T1H&Iaed`D3&5rb)gj5uk~DL?nuc&SOg?99IPN=
zq=<)yXU9K)^m<M-RQC6&3`sD8Ve|*%6R*{6&(5MWdu$Z=DaQUip!8j2PMH^&pJnBr
zk&g}w6v`?Fua;$bqcTqU#U8j*mP1CY%Qk*F`egC8>lRBTrMwmY$aoFYqHWJcAQTg!
z5@7h)GQz>tn8jG4C06w^2mG}UQ=VPIt;uh^&+g&c82-EoGs1|sP&xJvIA1kj7F12T
zisq9PcXr&`*~J!bYP4BL?eT)Yk0-U@43mX?NO>I*Q=oF(Vb}j=4p4Hu4b#Ap@K}bn
z4<>jWpP%;yYrB)0xPo<p0x3xR4)!vZeAfTriVq<LNAB<7&QTfCIZ$$qZ4JvXtT1a2
zivc|h=0OS>hfyVYioQ({b>b$7iiz9O2K%!YCN;Vu@}o(XKdld}POb}I3SVGAsd2#@
z6&;6lh>$CpD?#zKoH7qMh|q}c8ljVw08uRAB?@Ky+q9apV&GW=lOZV#=Qng&h{KT-
zp(NCRuLBoh=5jId2`(5>a&#weW?>(ZEwN~M3KmupCr?yB3$36HR@)zZ68A0T-Xit}
zA0*YFZE35iup9@~0d!DiFUh>FffTU*=`JGXQ%LAo230BYy38>V!U<9&!KP@r1mYjd
zIaM;1k|=|Og@eOnvH`u|ws6_Y<x?<8VFdIxaLS+$xCrC@ey5Gsp~M3@`w1&mD=Qom
zOCx+YuvuvMQ)#?ybGayw8je&e0{YVZMba6v-Z{N|5~UrDAWZ}{W%XoHelf=*y_~qV
za)|`@G@FwZ9-C7sr={ssGt$;*072xUbEy@&fzI7I0E&=jLw$mgaD}EK1e4}@3B|CP
zCQDlG)3vGK>q-#JSQWts=N^zR(7kdSp0Jy=M2A>cPn+jrOFV<GE~8DBp`AUm!D{XA
z(S}_kcGq~_ilgni{dk6czSNvI`ozDEE;S$3|G)lgAO>x@jNv<nXF!@YyARg-b=arB
zg0%ZLtgI}eI2>X<L^d6|13#1oHG9{Jkz<5i|I72Ne5;AAcUfA6G4GG(kDc}+G59Bn
zyg-q}TtgGkk8hQ?#<uS9*~~i@I1ep2M8^^bf7yd9v1FCXWsXV?QF?blz4`KujvyVJ
zbLAhtu2l2XA_K$^-@%(;Mhdz8`Rze#(Y%9nL@2mHVTvRg2Y6kqk5-z97i3GO8nZ9x
zB-2D{o&6n54B&wobaZ;~u1VQoaQ|WneHPjo2L1ejShSQabkTi#2{Y9M?7Nz3*Qb)q
za9iQI7a09Zm+Z8q`QH&a@hd*X7zB}*NoR6#C;fcgVzml?Z(j85XMcKXRcMaPH$+g_
za9$|6<Pav8Fw|b!(2)zV(=&nQq*-oFPH{r>WPe1?PQxcxD}#$0u9r=>N{t}PFOxXA
znoHc67Lh1!p|yz?aDw%#qlR-YnOHq~^yn-G({%PVdoIOzc5EJ@7crh?D-GnwIvp`d
zaBgA`VcOpP_P4+Nx+6ybR9{#;e)n_8bM|#JJ^K1R_gu^C>tENr5Kkyu`Eg=dmhgPP
zo;=9+5>xVlz=!-O{D~@L(+)H-Pn*8kW5N}YrI*2@K_(uRaQ*NGq@F#D?}>6o0w9BI
zs1-)T520~mAUzIaTx=lv8rAP|K!7g3rW4kY<9ZY-<?Z_^adOX_8L&EvwM6~mdgB@N
zODy$C(iKJ_drr4|9kSBQ0$c-JLOgl{ZLl!<JyK7WN>ZudS&Wt+2cc@E&QDA=8M@)>
zOs3r?dbZHvQ~AWrlhG5vapi;WsYRW^f{B!?gxF#Yt;Eu}siz6bgGj$jwHxvtN8eD8
zIX>JC=8w*3v3ketuyb>arR0Si?Z=M8q0EDDST2#RlN&RsS<0j65NQj?K+T7LE0?>o
z=n~@{@{hS`FPcqzUgH>GKVOQjBYx!P2ZiE`O=LHcz`d3_I`6<&A`X3f0XEh(`b~?i
zrnGuxq8qo<nw3_qPhVKBTigEoUCwf6rr*8bf@?Q606_rNw9`_EaXMX@o}cSqa`O7&
zmc6k~2hA})l^t@QW?zlwcz*uU<pyvN;22=%X96XXg_pNy2A6F#o0+V*zU+9sK8nB4
z1IQiwxkIb}L&d%K{=_p#-{#-Za7M&!EF|cVyrpKmUq_bTT3ai#24ab*w-LwZW@ku1
z(P@`U=EY^n@j!GY^EvPwXF>0O9%wybFPp0*YO`b#us8yP8SGiX^|d2M`b!9QrQXs~
zuZKTG9XYiL!>oJ?sep0rHZQ}!>sf(Uk)i9K$$&(hsBe}LH#Fg#tV+XwlCBJ#KpRe;
zK`JFdS&WZvZrE@(=_8d-OCi#Vv4os6smAqL!VcHh6BMX)O6p1vt&2Jey6?Y1fE4Fy
z`NByWa)d1!N%y6iv8*dQn3{~MkMDMa#0i>i3X$HBP1W|k?wEl$W^a8>jeWp1PZjBn
zf7G}p)y4U^QcSKz{VY;NS6yVgX=`(HJgQW0SGw1;ZDg-Cqe{iAPR>v{=!Fs=%hoEV
z)|t&zkYJ&B{P1qOy$tU9HCOP9J<FT@83GYy%S33X&J9i;gX4HN{9Z9Dsx8V+-qA4H
z8#br9%~Z^ZCEC&sg+j|Hg{oz;-r_IZBANG>C<69|v@{YWNa6!aX0fZ-Kx>0M#dL>B
zj0#TA$;MF96A$9{OtuL66Er5o8o>yI?ZGn2l2XW*aB$%i{-O6S><bYtm|9S-;Mtz%
z()R)G%TWh29UM`E=t|TQB%L6w1TQ?lqE#YUrhC)~!zQb#>9Xzx&5P0Ia`9%yYJP&T
z4rWsD{94(B+{!4OY8<fF<{~UKx&`(Ua~*v|8}<+JM<DNYT+=E|*tmI=QBF0B9vH}4
z);fT{d8JbGJPtNn+<D2~3<HTSOP(pXr6Jt$FfRNXL@X2pxQ>QpAvMqRTnvMN=E5+_
zAPDgVRZ;gKI}`1Olkm%h%1C+STV6WCpOPVo+E9#t*Q>U~59VHs4-eOe*9~5H5i$WR
zw(!cuY|HJU6pdYXJsrR~#ylegx{)lhz8}$}&W^dCHElC+Md0TG-(l|FV93wGs0Y4Q
zBcD~v&Xn=QvXgo3%=|)6D?&M*I(?xtvE8wxDQiVFMLCwr6GuW7)cf&9H)DKbJihUE
zfe8e6fAb85(2=qjK^0rK#t%(T?qu)u?BS0v(IP_=^&U@my9nwxQW%J=<9i+y$vKA?
zhd<H92jY?8Pd7_ox&x6aG8&9;T&fmp{9x})IXvU<p3Gt@g$<BoY2Q=|&MY<!LJIvk
zZxzrslFYw81VKbX&L)#ZS|WBq#O}-~8=Eg>5*3&_(Wz|8yvy_WWMqKRseHfie`faa
z9HxF3=^!I_2VNnZ;WU2GG<v0YI9RP{9OA-;c;lD`Lr^#hSQAK~U|tqXr;$1|T7pOy
zOnh9|7~OaufTRKmkUlmVO=lv^CeRR5Y&dTOES9NlN{wn<S;1?FjB?yCIRd&heqDKK
zye<^ly`WT_ot>&}uOogD>cwqs9dGx5p5{u>kW#tbS{Q_bZgh>*+<?30(4eY@Jo%MT
zOrl)Wgd@KePw+1Yw*)_+&;-danSk2CMx?khUUZa#?D&)pO*ao1eC-o?bXA<7Y}+uY
zIFnk$Rkn2Zc`tJG2<$SB`uw^^vTd0Z7Jw&&ZbP~QO@`elVYv6}P<09sR`Zrm;V%e$
zLM_KIv1%yMK9@MXTR!~Z5337FDvC+VMK&uHsx+!&)$y9~gk?tlid@*Je0WqhS%WUv
zz5?;5iaH%a6ON^5<VdK_5iT0!$#pSxGm0>PDMfyu0Yyxs9zKKC2jet)9bdK!$b31F
z{?(KE62{Rp+dsee^;=-rKh1<k|MrtN+;GD;zHx(ShH&#9CHLLC$tW`mB51&LIvq{v
ztexjRpi<V(e<^jvk-}-in{FycrgVg2jnVs=SB@Ss7mOaNVWK06RLxufZPiwF^!uky
zojUTIlOKQY?(XiX)7QSxyjulE4^0Y~3v|*`?z!i_`$pd*{P}sWd?gZP;IU7c$IK_e
zIqF-i(jBN+$@&_|-@u=Lc6A<D3iN+-_9pO>opqgeopY+rseP|HwePp;u6@_Kb#M2*
zy(Z~&x)VAbvXg}^1WXuB*ksW#Bb)LnFp4Oks0^aGL{V_?;}8*WW6(k8bs5EozUqwV
zJHGS!iUPOa@9#NP-JK9(n5uiLPMzi1pZ~s?Fbk$Nmy(2u^)zQhD4V8+aA)5=eEQnm
z!@Ztd+Yj$vd-|{}#2;H)T9kBe_IfNh9o&9;SGVYR_w-AY3}9*LX35w1xWaG3Mazsl
zdCm+Au9shL7y%`+dNEXo0XG0bL!6q<03gMi25$h)6!=)RdwAV<@R)V{N?(qde@9w)
z4>>|LOHPU=5!lH|k*!Mi^Au+v+uq)OVEgf>@=JMhrQLEIEM%$(A@ndZo(iUWj?-#i
zd9Et?KkMc(aE)>iUCwG9Bpnj#(#I^Cd_*V-NSSuu?YG~4$L&}mT}nOuVg0<_=*gq@
zzavIn8k^;pVF&a6&__ili=vdZo(W|E?_=_yA(-qbPJ%f(Rxofz3g8Uc1Zi(9C51hp
z+AxCCAc9^vA?(C0tP=(w$#=jF2)2u+!@oR`E6y3pThzC?B)dz<Qv<g(Hzmm%G%-|Y
zrVm}I?&YTnkodI!6=%WW@1E+Q?%U=NqRj2}V85+w-Dy~#k5>;T<8H-o16AscQ4#LO
ziFC%Kpy<xw%9ru0#jF+1=Ax14!B=yY3j5w!u&dqGAnopI4bd7wln8i4e53Cb<1Q8+
z#~|XhTRq45O~?6oK0&%r`{2Jj&YMl7RH}FllD9Yai!b#PRga9yc#nry?05zmu-eS{
zFlP8VgnQXY6pT?T79If~l>LQY0xaELAf@l>Au{@Yh%CZ*LcxIK>qNk`zC^`HI;fat
z082dnEAZ6!vuAg)ZF+7<`FVaS6tXV45ct7f4fd^B<eTGQ6sIE@j3t9?Zt1f@xG;j|
z$LG#OcsE?Hj%UIdSuC6A44zIh!AvjjAV7wM&9aolUZ1L;QBl_MTd%rmeuM+q{8d-o
zdgbx$*PdBivaseqbM5U{9^XfxVIRk440s4z{;hL!a|G$H<_no39;)fi>F&pL3R@+@
zJcDoWTb%<PvbQ2gND6b^&wuUnu3Nj}dF$2^;_i8D+LQ?F@^Q{D4~MI(!y&8s($TwX
zh+9vCC#nxDld-ZuOs?z)|LZc!g=jW2%ofYpHbjAI-}}LrTzRLH4(>EKAxUnxf5cv3
z9WTo3P$D1}44_j0n>5D!`-U@RX9Sa~Gm=&4PGWil(>fL6F`>Z*k&&piG?>F!yEHdg
zI<vB(fe06^PIof7>T0>HTju!cejlRWx&gR@J~Dy=wE?%CYc?0^772)kq?ni^;G?s-
zc`dAiyRvoVvsamN@U^wApUA>3H=8Kf5u5|d7Me1N&|1CtMf*5*5UZhM(8~7^nc~|+
z-@{s^uc8j=g+LHTf-Gf09Q98f(J|k~FsE-_3c#b&rP5dy`$I!%KjrVprTekNDeHb!
z^Y!nyv&89`Yt&;T%AI@b%wqkHv+YjIablhJ**k)BsnWq0oF8$X^amO7zHs<`Px!Rn
zUMA9NxlA7Qe=Mcah5RrQ86p}Fejfaj<M{j`D6pP*@M>Mq$^9qYq4A7f{1<%GzXMui
z5IPaM4?FI6AxZmW=nue%Mri{75$Jqe$!*Or!V56GtPp;gHDhGJy2RLHhoOrGWTR0D
z^i^gHYa5$Q9zbogFnI{ssd<uT_%=5%VW3(SLh+`~(l98}R5A*pSa1t#*4)JDssB1;
z`)s-=3TMrAK@SyTmNZXTWkg`etXhL!x7di|d*?`k<<HF>-QT>$i?jPzHVA4KwPPjB
zQwum^&pjNjkmxuXZ2}3<NT5|mrb=4rd|?Zqd^C;trXvs29C;XHhsZ8vm)b{;>>jS8
z8I9*t^+qz$f6;{-N2BWFq+?rK8)wp;vfuP^s``cfW5-uAnZ>p3?a>HfaC&oT8Jjc!
z6UI@6$@Z~i>`jJSN5=^H>v@vNIvK(c!?kuY=}MzMTxhkkxy4!?>x5dX*?lw?&F5;h
zK^YesJZ8wMK#tu^q1Zb3e{8ED9E2e<C?c6Em#arXbn?l!9ffX$Zp8=!byC)i5J7DL
zj{(Oix>0&5#f$Y^>{)0HO(B~J{PJ7DV@?=OHlv7b*p9QNEaE@>5%}cCLy)Qz#{`&v
zrs|6K&>U}%rp7=-8ri_&4Q_MFl4<5)Fg4>W3$uxRj<iUoZ|UGR3rfC-Za5yrXVO#L
z@x<xzcsH3^w#tR|t*zUjq?~aiwm;rRk2fi!cB$9baUUI{Dk_x{%AEk~RxEXgEfP-r
zc)warh3$B`RZgR^K^B3>q0Pnv3WKoA6c6igZ`6(}=oG|3Ml67xxPN(xJ)26kn$m~4
z`MJU3Y9Sv*k28yJT}6_3jCe>Uzj{DuA(@5@2Q~*#3jc%64dcWxxlAwzL&jk64mysZ
zmPS-STPJkEI?}kliNVf&$Q<tL_u!RJ@9cDd$o<~V&dIBGc6wcfK-t;3_KqF=%y$pp
za^v0+$KKt&_29ny?t9g%^c>QPV||`|jnyT^>owQyOo%FEb$RHTQxwp%R-7Y8F5G;0
z*Rdwscip<XYfMSRhs^Tio`DVw6`ro?QvrL>51B%!cL6gZM^g#dP$`?f4q?wtKYfWW
z2pl6T2m}~{J=)>s%{4>5eMz~LpQ^i$p^)3XWq&k6Jbjl}ES8%KJq&s<NQFa7r&gBl
zeXO;*wsKDt!C9l%==92E41kJAf#c<GcaI#o84)lTZs+uDIFw>67>-|T4;Tyr`5=>z
zEYwqJYdCE6%2rjvI*gZ#OK-7rx&0+S5g!3_x`^M%L@ic365FlSZ#ldt_<MPMG(tC_
z&A><WY2*9n46MZ*O(q-Ck0CXIS<(?h0?lj2RG`|}!4%C10|vp4gy@+D!wR(bjG#<X
zH3fk-pIxRx5Uh^AbY^FwusL1z_vFq_A3n;A!!5gq?Zk<&@7Lq~{_>(9_b~P>7Yflk
zA90FBf)K+y;&*{?^K`?Bl-iAa!XNDoqVA2ILBH9ESz0*mn;F&~OY_v!>9^gU>|7Vj
z;laMMd-&#lyV-&iPPH}&uaZ6lz)8fLJC;Yd5a0fIp_Poe=pACKaQzGM#N44GK$~^F
zduyY*_k=M$OH9?5f1_jSGoHbiYFxGSWOy?(jF9>jNV4uv#)?}u;a1s01Ujr>B%f{+
z*-)o7im`8R9CnW%-#>AqBGe3rySJfhbSCcb*vTb-{$%4qacS`?jaF3A!=HAvI*pxC
zGC$hc84SpM>tk{Doq4yiN%-rR-5bAUbI@-ivSn~O^_3^DIe9If_*ZuAQvjSxEINcx
zz^i}hnL?bqe}NZ0dZtk3ZDQHa%c@6hzY^Y@#ozK7?G`k5?3bx>&oCeX<N<V!13*$X
z`$RTn02{L{WJGi2WXfvf>&AXRy|D>wc~+S0!i`2HM<T-kVz_i8l{&k;Rm5SZe(2EQ
zPdxtk<LL9U^Tkprd%AhHzPvoXWp@W@w;7E~xeJ3$7wn9KqxNXDzkjly$*+ru@Z8)o
zHh>lmG1YF7xazirGRu1B3tsR7Tqm-NIXB|0cNfXG<LvC-Qm=|nzXYEHiut+3^ms<2
zCMd1Z5r8PL<_(Mq5RT`YJs^?lHg}W_e3|VPo*QlT<!Ps#BjfciT?;l6G-1nM1vKgP
zfhJ}j2!QVF+@WRe9ND|^YRnABdAxR<N;S`5;)fea6S=kj5N`av`Us1vjR@}84IgdF
zbW;E}I>K%N2tj^h1t8?YkpRQpwLO9JeGB^ULx+fH{or}z_06IE;9Hg<0HUj>7L+#T
zN#k@2w*TJ@E&TM@?5Xwz5<D5&=^fx~fd)Yf2-EQvW`cq(zAOiY`bYW!jl4NQ7cB!k
z-{*=#T}+<we)>_NZoE&@P6Wr@QSSJ$Bd6ZAevS1l-(q?5^Ye3~!FXlm8`y8ZgRJ%%
z#t6Cy;xU=U{`hzW%a+aNvHju&^u}ZmTs@4tL^hWhvNa1!g(vOHRU`=C@W?^e$>5v+
zKy=2kp$!I&88MBaa}Wx^+DVX!h2=9Ip_d}w_x;RzgVbnHK_}b2Ui_%DRbbxHWGiFY
zhFjQJFMb1q^udKv2{D~tZnx_j^Yb|6m39y1^Q-e@#|T@?>+4U3Rjb6S{f5WH-xeR_
zOD3$XSX|#?vnl@2MsN<YQHTnf88%<bhcO#%5nXLK;vC0oV^A{3a{4eJuT&hH^XQax
zzs47rR2H(4x2hg$2<n3_M_#655vZcSbsUH}pYhNei9GO1@)PK0;@zP1h#ua=f*SQf
zG%l?MA`cr0zOJJNHIn)mM&jIu5hzH0Yb6cWBlQYFUKNX#XZV+W87ZlrF&-I1rh5<U
z(Gcw1Q^~`}Jty|ulviFx+t|4aTQu3RCMVaz&=A=#ojP_;!b;xS%C*oq@DMGzeHYD3
z^c*UIQUjnJEk2L)*vVb}9JG4~`_Dg5s)Q%fbgQ8s3H{pt#>~5(*0|)K<{QoV6MoOm
z&%WWABrFpM-k2aM1<482{Hx#a@KOxGhzMQ_a!CY&AcPd@I=wY11J5WFEbxpc{hO5k
zm83w@p~54<$jTBHrYeSOfzB{oaGdF-P0um+;n6U?Z}yD2n~>SMFTZ)@2Bc1ywGdX$
z;={8_I`{_W{y!7s`>uFm^J;90SME+Eo_#8jIKLZ@-;rbnqjlds6HhGNkVsr}CXu-D
z+C<{;@kHV#ADvHh*+&CPWlyM{%`H90jPF?`&g~tc=l^favIbXsPX=zmr=oJ0ArFj%
z^i!8gB03F%ea5r!LX>f-HzloY`11H$`2H1K;;h8vfkz+U^$iT(cUY;9sH|-(`B7Xv
zQri!|Flo=f`?mMI=WE8{BoaCD4L&Uo_!L+(IE4|P;b=!P6)XX8Ski$n6Ni!pN&fWA
z@!}q2FpT>i-!c%|BfyupjfrKnwEzI&D}e}n{~H*GJ!g4&YioJgnSF0t(ew)nnM%9u
z9IED}ZgIU7CO52&&~fA+$3r)O2_L{q_<KVkMJ@|i1dte=QLvS5rXMX5epk>6{h?=O
zngt=7vOs?^wI{;ZnSjU=HliRTf47nqj-YCdUl#P2QEN;L$uZvcw>PEo)6K>bT$U@w
zB}yTT1@X0(R5`xYcTafDC5p>cB1rVY?RlisCornOiM3mWq3&4aIdbcH$T?agpC}TM
z{l?(=2QTwcH>dnEI_GrxH?2*~sO*(e;ot@6;mW1{VhPf1iS#*c*Mk-=I8uTk3NB;9
zW<SWQSVvD$MJC=0<5N2#|55GyPvo+(col2kN;slmoOT21BYiR*f7$jYUMqcvajctu
z6MT&+j1!b666JBLSQ>N)*n=r;9;>uOv($`{#;T#YNM8IC>*tNW>&4hbJ!+z}NO~g4
z34gNc1KROF^du!TXwhRfjA;Y|<`*HzG=$TXkXVI7o{3TBZarsQKs22E#vp%U95?lg
zS(R21s*dMDvs%7p))i{dRp7h;2TSJ_1V_{C=vYlMIx8v_0nK^|8f>*NB#`}I?wdV?
zQn7d{O&TB^4(+H<d`J=_co`J_9q=uwPfM{{k$gwCPZ(rEqd4RYJycmaabmy5)bR|K
z;fW-HPx==_5Rho^aRP>oR$NMqufLC|?|r0zPNbL40k{F=IYeM6xt*wcfzSJAZE4!F
zZ{YuXlV!a3!-y{vVCQHwN7!2l1n@V8njDlca<<Y~(XTIcoA@`m;PZI3v3ItMyQYV&
z5x1t(b1N8$Cr4{Xw!WL+C54tCyzHDR=J=-~UZPIyJU3j=DN8NJ_9@5<%+wVD<zBv=
zSInBjKD0yWi+^hUob{tbBYzdUFqm*A9Z!mxwVAe~u?b_6r_;(cCJcR}5k`$QwLx|P
zrhFW*Hp~!Dl>p90p)ft3246*9X{e|vdxXN{=VYv(wUDPEstS&wVtjvVe-Z04tQpGf
zPOauz`-fH$*Dkf&G88#WI6CD_$l_sW9$!Vsm@c(D<dY>8Dt_URO{uj;J(<7&3sqJk
zS#PYxVuyEj7nd@u1TQ)#hn)eDvP56uC%!NmIj?)DiYI%#dF)sd$DC;Op>}0bt!By=
z$++rPnW(H2zZ1|gkK0$XcZNpO0%)7NG=3wESs;Zpc!`BAV_w5DPyH<*Q^h@+#Voym
z_6s{s11C~NM`CwS2Luoda3!o~p6ZXOcr-kD;>HUnP9os6Po2E~1%vMVH=kPYD+epi
z(W7_Ybp+e7t1zR&iw63;gpFDW7-Rpsgq44uPPDUGvJ~TxP_NgCb{wwM|8%mvq(EM^
z+S2mm%+@${bUzY1`%t|<SV->>F1FLT`fLZ|8#Vz#z~bUkArGPXySa8}o?QtWiOF7B
z%BeG+>pEqYmytEi^y$}Pi~Jp6Kdi61QleY#6uKxxmXO;9)(o;5&|68T>A8XFc<;)>
zeM)AF@zFvoO?n2#2NGh=5NH=CGe&Ku-BMKgF@uiv5=#~Qh*dpi_Zsv-eUCLR&VhBP
z93qlqQVtl%C`i1-kjSrXr&dYED%lLq3Au7Hnep)v^pJ(Z+Q_<>UIJ-KR=&k9tG+Dd
z#ghZe8eTRAIQV(iUnY0RI)vL7uz>-}JeZLQ9aJ>d<UYY`BXcE!le{S&OLeFo>s66%
zKo}e&>ZF>gvAc<%ykcD~OO2^aIeYPA_NMh~WD&TBOaYQsOr3v?^ZaZX@jcyNtVCex
zbnj|`nZ3zlGgVVrfRqt*`4&iZJwavt*70ceq{2}eRA83sHf5?TlR})S($EiiPzzLi
znR%-S3Z(^nYa&#zDH^KA?T>z7z0?9hwOfY{$r7Mi9aYwx@Xq1qY-}b{XV2b)p}_u;
z?=E@6!T#Rq)2G7rd#u#L%1Zml$;k_W*aKonxVG1dX7C8blo(&wOxS)ywK4SYlp}{D
zIZ<J3?05>lQX_k1;!>otS@hz486w58GXwVHWrPh^JgIza;V5ZQy;#D^yKc{V_u(_C
zTD@mlM=Q~@ddF9te5!QqwRhcpco*YIJ6asS^Zd0Z=Lo&ix1EEBb7|k-eDRA2i0-&+
zdzF0H&2MK}S5dNsgk55whaCd)&!yxYNPZy9V5PYt4`>Sz4%R8A<8C68*%{$<#5#$1
z#agwQ#vY+qXePq8&;XG)FqHJjkB|qGJdxhs4c!uYG2SZANQx!=t_2gwvI1!qR#L7v
z(@F*N7~Eo3&L}rD`*!w>z#O#Ih*^EYC%8eVfB3bZkYx&DDv0=`Pk@_eh=;HFgoLAp
zuPb3ZwY@EUPN%cIed@~N{f+e&x!s$s^^N^2kMBUggGB9)+4slX^mY5$(q!OQ8xchI
z$#A{q54OwMqt~U~>o4F+aKq(0>S5G=sYs(%9!yHv{p(WR4L4cVh3gHm{M2&F%GWk+
z+RV><ZR3K59-P0jfokZFRsEpCw0px%(<U9wU21eHP1qoF$E?v8uBXvQv*qo6xmG8+
zlo~CVT*bG5V6aH_O4zh4u~H26Eh*b{f0~ph6Qp$zULIdY=Els7)<^da27`Y8*^scC
zo5h8N^ZkB*Fi`f%#nR?x$!f@VV(D8y{pn91KK$w5TUl8(zwcP#^?N!M3MH=K4R?tk
zcYWx)(W<|X=<kn)K89{R<Od7v>nzPnb~T1@4}@P+;M14fy-b^l<p=?Z<Zyd3);TRq
z0Uj}vLdRt~Bmx91!Y|MQOHrMh@snD#dcrWCKBE%kS;2x(e94HPrVf7l{O(809inqK
zMe=aR`qvkRpV-=h0Bmn<ow$6|I5d}E-rd<<&JR{o+2oP(k!bkBg>aOERHmJI!ii+2
z{ZUjG4X+yQ9X#5LR=q}kG1}7!>$^DS%)uXW!}9Lx;PZo3%G^N+^pwle`m-ms!?dVW
z#V<?c#JVbU^TM<x$qW%nuWVW}d#PzHDx5pCyR1s{?=}74V0rh|oHtE0&CQ#bkbgmp
zs2?_dBj-)b|6dM$)?!T*%sk1;!C>?$w#SqN?m&PC?hi-<J{rwFH~auB1rkyCI<$50
z2eVJ^UT3xipRh#aQwq`<)Dptf+R^vyoN5*d3+xuL?BEy6Nw`dfs1drgWLBVYco2mm
zHZr(NY^Eq;!*;^O%Ge?h*9J9fohgK<iABl+721~G1OpNt)3<)Bntw?^-WI?G#?T%U
zf&x|ui6kKr(n(zCQhp>>i#eG@BNZQ5&T+>Y#8Zt##^G$lCvS}+8D=`@K^o1z<IFEE
z*3t!1kuLWA3U1t3w^jW9Vxti+q-%?d^PsI}11kX{zsSElH~Yq(I!<^*^GUE!VwDD;
z4`<V)itFGdLR&KM;GJ~JOJ^IULJJ}XGN)B2Hmx6quFM@ie4z@}WWsC6X*B0oFC0FM
zg`eX#;@FktbI|0)GWjSL3d3G+SXjWo0#YlHCgVgk5^uP~FfI_c2GkfP3wo`LFRvV|
zvZUgf9+hjhjI!-kt4mm>d#~()dJ?_V2YP~!*Q^%_NUc+LB2U1%QX8U`p(ZA^9mapq
zA`LGnwiZKL2~z~T`n>h4)(3!5v;5oQkVG1>T$wK3eek4yPtVE&x(I_S>?x{A{{knx
zA!$p19G10tUU*Z$NEi>Vo3Y`jSjFa><)S)xn=QauLr1xkW9)b+-3Us!Z+paDEFkN9
zR$wACb}^AC6zm~3O|-%8<Dr4Ajn#?}?}}bRRq(5F>{yYkAdo>4&|2-{v164U#D#*_
zMIvo{M+meZ?!$cf*iH>$Qxl1jL*ejS7|gJv$}219!q=~?h{Co=B5~c(@wn4n8jT2p
zbbNDzJi~e7a5jkvvbVI<Y!DwcpWh&ry$u&OIkbB1>78A9+Taeld;0X+p-C*ZHrT)v
zG?i{NmzMSl1$>&j4Ib+EH#U!BOfVcRbvxtnQM|=gtVVq>Xw*?3HU<M?m9FGS4J}%z
z41W6$Sn+<^`fFTZ`u0)b6yqskeDx<dUCHTIzWp2r`&C<WdlbxxXjRQ78&i9lIb+_q
z9#FV+oB7hr8t*H^x-c8k$duR<Mh=Hg0MMW^w*V>uovbxLt!NeqN2wA`3xfG3Ex<&p
zgtMwmPwTB#1ZYmR@#Y+@R+|yP=w99d$QX{KNK+l$BPNmdt3{@j22H_S>KS4JaGiTh
z`GTF8l}O4R<R>vbGpj6!u*I6BB)2~dzI8l%%M(m@25k)7QD!Zt-;|F%QZQOl>nR?X
z(YtWY3yx-e(<tk$Iw()nhSoQuNgcdF0_I7@Hx1r&M8l-+aaqG|riye(yv@v-@ilV`
z{{b4H4%JfZZ>{4*5ilsGI-C^EuuKq2K{3E=3eKxw=GQPo?&xnsbL+)6L6Cx78fzB5
z!j)fzi1te#Qoo>?;Tm>RFvIX429C4Jb%r!qy4O5Gq&Pxvif!fuPAZWYR#Or%aT!UV
z{@@@~5()#`&bhe0sABFgF@F;Hv%rpXdyLca+=yaa#p4khJ|he;myZ{&D-tBpXgFKE
z{q<7I;wp`f1nEyHL@qY`cG>b+|4@wTmE((PEdWCPEP@nj7!d(rUtB!q)B$YmsDc;{
z+)h=fqo&=|-CUz^msArpRX-f~=9Ws*1!?Q2b=aqMV)i0FKyY{~hJ;=|aw6g9vRkQM
zH(yG`_dmCs&eX8jZdlEwB3V~3o+TvqaU?pPPXsGeC=k1D22Ku#AP9y;)F!9_iEUD9
zJrPY&q!Hng{G;jtt#qOUT%cdDVc0DukqwcNG+U$%GD(W0z`uKTI9G*V11H53C}>Ks
z@`O$fCmDqVCXR~JfMPDM2nftHE=uHH)%3|J2Gc}>Js@LnaRtIont6sFO(|*xNm!Xc
z5LzTbh-W$0aSlZuiLyLBs3idgrI4^ApYnvHhq(A?X$3E}Uo(#kGMHc6MWg{9qjTKL
z6*CKPnZYC6q>wTCPzWVLUj&bl^p^DV7%XDf=dqyhw?ZqJAnmG`LPo^!Xl+mr9+LF3
zz{p@B7)xu+AX(D*LrJAc1SmpJtk|h?GLkIeB7~D6Z{p+YD%`eLYR4l(EHyaE71j%`
zln64}1&T4nkTx|2LH>{AIKNPD#86XI+nZbC4?DH`Jct3^a<}7GB354!$O*QLZRN#J
zlRy0<p&ug7=yR-}v%lip<h<YchcNKJuz`J-4C$5r6^J*b8O<)&P8TdINm0OCpI1P;
zo*~r$6@9&NwHx*Hc?tebgTNWcBR^MzQ4CfA+6&hJ3j=64g^30-A}_@aX7*16dn(`^
z1fU6y`3wN0fpXKPnugO6z^wqb#IBb_ua|%?fHy!BrcnZkG#45e;`&n2Kw81rOK;_=
z0+8yBRk;DGI+kDa<-Q6N8Y~#V*lC3m!PA*f&$Pf9NDq3&fC=@P(2V9g_+`#qZnco2
zc?$&3+B(A#%-b}K^|V!ZTMG*dk1@&wrMcn_S^kvopm*w_`8T*_HUf~}3@USF$aG2-
z7L~kE^K_|^SB#%11HD-Z(=xal{6A$mv`T{R=#HQS^YrX2B)_iD>etGgz6oqUmEBF}
zNK#AD6SHuBT35mEEBmS03Ep^{V+1+t2|5`No0(n^E8lpQY9b*(xUo+|%^Twdkp?Cp
z5|&HswPD{77e?E&rR{@2Q9Kj=tPIEmi)1r`tRoho#!1otW`68zhJMnHEBkBYw&cpJ
zDvns%@-iowqUH{kkNHB=Czf67{_>#cC@4fnW@BC+Sh{OSDMJ!XNjcND?TN`HQrrZC
zo5xtk(=BG^fEi(S$RD9dp5{%5FV8X~tyMsq0@1=3@l{rEIRSD&X)>A5&$ruwE4g6#
z6b!q`%2KT@YYx<@gvyfhGg4h-j)K5K1TN7m6fVfgX16LJhv}0%Aiv0DzO|IVokJks
zpjqIxumO%tP~HV3(Jnrcg1}2@^DNI}hM&q+h>8ox;$;Dawo@z#!3%S#%K2_3FElO!
z04XRBlcX({D%M8C`^PaGCD)6KBx-RSB6zBY1l=N}Ii!fZw)G;MOD0ALLf9vBLLTgx
zjYs0SSmIH&j{tnxEWMU(2s8xUOk}c!DQb5-A}S`0=N$xx8_l53u`Pv6RVZ|cGEJLk
zt;SKvIH*NGOsFP<4>6Rd-E>R7t(pzIv%I_^zcd~c6L-mC0nP*kn$BVsWAG<Rvuvlw
zWWYn`$cB<;q>u;`cL*#6z9C>6ru}KUPAOE4oqAS?nA$b;#z7uTiKv#JYMPb+Z{4kz
za4F#t)d+fmk{da;UYyVn>PV%U(sYwXS|@c;1?gTC3B2eCF{1RXxieLnF6)Q`F}db$
z>tni^Kir&Sgc;D?(mX-{A``~B7}W%UXNgCGrxv)~JQRH3Y5#yJETNj+WU4?M6F7Xa
z{uE9TpmHJkcp{_0#YiQAD|OJ8k8pxfaijTm8=aHFTNMa|i3<`DxMpjd*vqwzei@=o
zoz@f67vg%Hq7k_#mrtY=c#%>y^%*?OG$y)T)J_#%lN2T8AsKh#0S#E?0{RwZu|~5*
zp(}d`Gt(r5fC`C3`t3r_&zj*e^cEGeh^u*DQ)+VAvvsgDrLtz-FE&dpJf*p5T|qJF
zMLI#A9M3D|vq{>)v=Dw&6gFL;S!yQ~8xLzsGHA3Rnm{to30`O)S&tRsOO}XnNh(bC
z1<bM5QMrl}JPADrVxnMWdV+bROi?~ON_Vv8RU?T=qsgpdVUf0wq%g!eB}A_7QOGi=
zE7C0TFweTE+ID7@QzGS2m9{Iyl$xs_EXhm95NVt=TUlQ5+@fbVgB%4n8G^5AjY=P-
z?r2;DDiYF`sNb}k1Z^%bY}$URqI5MT?m|t|30A+lhSr3dRX(O?kw`X=-q|c1D9nWM
zR;OknegvCA1t>_H)*eG`T8>?VdZgZn^&sx60>}{=RGbM7gh<5dNKX!RA5)@6s>M%!
zsRZqr%iHww9kYit3Y0KZoh$kv5M8p>AoWsQpi2`EuM&-GVF{9I<)gtXD2IdCGBa4f
z#TW;uS#v~f<q6ko5P1VdJ>GpvsAlGk5#}6W=FIve)~nfD=pXZF{M1sj2b0GC_*2M7
ze<}0|{Pu|aBaRgGHw2VH=m}F9S){>XU|oZ;Kz<-}VYkur4Cl=qGmHlYG*=8!$gw%k
zv(O$>N_R>(1R_db#X{_Q_x6_-SC$tCb0-gZ0R2X@)r#QNIqs1_g@9dtDW_}{wv#Kg
z+r@mDK=q5OqopYEu}TFv3%i#`8%LtfjdmO4#++(Q+xQ8!@#9=Lw|Da7&R(bNIJN5H
z=Mfw-ddT!%ulRZyQUGr-c?xMj4Q_6wHP^@j&ytGOsu_$&P~1h61lsHPMYbdnpg^ct
z3e2^;1hIEhOG{&xX0%1%BYE@o4?$HOE)=&`&h#7MaBuGD@_Ktr+Ljwx24w1ytM3(l
z?}xEkdk!;z@<Spz*C?hWq|<*HeSyvf|Jz2z6<k5chsBaPFTzJeho}|NB%2714M8vI
z3#8YuAG+q6YmQtKiSY5t<ejzJoyk{T@mu;D&OE*`91MmV!Dqi-tJV9#r}e&9zVay^
zn-znZ@{wy^aOp`sf9X*Q2!&GcOTP}k^ikv2d<*#+<k$R@p<f|a!#{$NmMrm25~2tH
zqN4%<`qWHerU`s%MNMHGq^(!zvRR1Mz*-NTyjPN6L|`4F*s8h^SnCq)n;~bE1Cgl4
zcrub=$_)0U(^AT4lrNoFH#a@$)adD2?>|i&0s&FbLT!dzppuf}@@x7+(*p&;Q?&f+
zDlAWqw`B6)?re=uUU~fPPrQ5X6>HCa_B+npRDW&pZ9nz)XCbb~-po$ot+)lMPDK&R
zT3+fstPWC|=rHy&%sY|@daXn$^S#Hm$c3$(i<?`=t~|cy*;_B4fA6Q?kvKFOwSN7F
zfCty!xwq%UmLER;?3>=cMvRZWJFmun&#qL$sZu6qee~<8jSiZ$dptgIay*s~T)RCU
zpFDxwm*X>7<XkxPsZXx<S1Ogtr#@9VU)i~u)>Yg{r5MZSDW9E5elgOYy$P{OlEZW|
z62BcHS*arYVl4NwYWwE#W1E{e=Uc7z=H{{Eo9fdCh}-zdPi<V-Z2th_-`0f_^9$C&
z&1!e2x$~({9xH6_o~KLpuc^YYTPY<9idB{fHIN7YCHl_CL;oZ6zsLd)MQBy5E|7oK
z+CyM$^qdkBYO3`XcQc%5xhr+9G=agtw1mMw%oiXN?H?f355%_Yay={IG2bjb*N8dw
zgv6aHAy};v(vGGj>R4+$5dF@cRn0SYWg<m^k8(hw(bBB`$+Se3Iz->7ngj3k8B=e3
zu!8nZ*izdQcwcW)^u&s;jnOBdwkMd3Skv*STtXmPQXw$j>^AfZ@ZBgGbYgAn$<Ubx
z#3BvHlmtvDiPOY+gv=qJOA_)5D6=59GRaat=e6>Yx?6}A>nJE|!qKrBp<l{~@+&za
z5hs#`RvfD=5{Psf&G6yy173bP+i*(VPAS~TF6X>&at=ot%?{GYa3-E;p?X07kgcK|
zC|mI`x*1+IuNtcrVtKN}=UP!RA*M20=onNTYYWmfk$e`O7!V%~I|-Rz#U3(VN7qHh
zBFQXC!Qtkbf6FaN0@PS3bVJohG|^~)tO@jmgeyg?xn>3Pzogf4aR(;IMYJ{;%=K3Y
zWZa4N&=z`FaW*3Tv>VORz(~u7qAV&;b|!;GU)pUTpNtRYR&%}n(a~LdUU(Q;e-%|`
zU$q_?hP}PJMo0Vo?CRVgj!{*^RVYJoh{P>~xb<5Rl^S)^{YaxkRirlPMLT%WuJq@C
z=n!VfDwd=zFPSNo?qPc=1Z^}yGE{~(X}Lu#QLifw;Ii`dLu97H{KT?r_J{tJJHz4J
z^v+QD;+HS}CkE@+uyeZ!9PwdAtdZ;kS|rd^urz03O_7*LOn@O5tD|6)W9$R1>#`w9
zHevKHvD_3O;Xt5Pi5Oakr-tSMzOm>=;BZ+|XXN*W1`_2mam)ia3Q4F#9l_g(@68^V
z1fSZAD(sx&R|~m#sy4`E>ZA~`?T+l#O4<HkMGNM-Lx=naM44f`>%kf(66DRuvDo~|
zJl<+VM<bwMuToiD+_Bb?Eh7^ql0HOBWo6|WQTxliKCW#g;<v$*;5>!du0u=;%z@J6
zORO%yxn?p&yHW2|s!L0|1iVg>Zw}85tj=zzk-fZF@tvKeB~)iUR$wthnt<>kq4jeF
zB{@yteAS5-F9ZEqKD2t4^}pQj<?!8cBVDR=8ud)3_eOb~(g7%VRK)~OB$Bvq>P};v
z(dcE;wOW6$WQ7mDT3KE`CAxHl<;OsT!{nX`lMFbWnS(7*K4=mHz^EA*YG3@X)`zVR
z5udb4Jlsj>BsNBmhJH2lC)SM?mZNjqKErG#8nF++M58V_4j=`i9;L!4GTq3r0G!+k
z&7hkn6Bk$_Ftar>&zWV#Y)Kvp-N@6tMX*XD#7!H0QqS=)f+8bR)6{CpxuoCx0_d*k
zY(NoHiHJ8I);bD`GqhJ=A#N5i7pQGCHN~7&$up8=xxA6i5~xA>GK`1__->xiCEBaE
z9#XNhW6}f|nbl-NI6>6|P7yiI8e*PDCaOm2oSwf_n)x-NHycEilopaP;|3++<Cg-z
zfgE_yTLUy(XT>O?4nWnkjle0LC2EpKItVY8v87S6vfH+cQ~-TO7O{!t{x>qup&k;K
zL-0OBzk`W+Ufv||WEMeH#8Em)1v(IzMOxJrCSF0fLJ4?gE-dB?6(XjFi-l_E#L43)
zND2kl969(TnU4UQ`BIr0qUC~*5i;s1gkHmymAVn$6pNJ;t^XTK`kIp`;Ax{;qv?pN
zA|#}YCl>mB^vkSt1Y8)!$+L-vDcW_jdB8W_7GFjJ4PrIO-fz?=wX{XoV#yYEHH5A1
z3<jY8h}8wpSoXW>CUs+s%|^&Z^hDNpFo;{9K^&CG5tD(GPz2frj>4$HaKJ?)<ziHz
zfJqWfr(oBMh}O8@vz`S<?8TwH6eEKx@Fs}2WMeH64u<D6SE0f)iWtEqU~;zGA+>g1
zo7XM+l|zSC4*A$v)N;8~Sp1hyNHGr@S|d<*p`9XwPTL3UJQT?z?{SKRc-d-q2!J2M
zDXX}3;|r~5l9EZ`O+X3w>Sj5OOb;3nj;d59Sh!f;Fymc>)}j-38orfI!ATQoJ4`!4
zjku5Hi&(e|U1u;&Pmr#}Dl31Oa=ROGz^}G53<|w60r=>qa{6HlLP$pElKoaZG!l<A
zfshteg!*~>bOd)`WhN!H6uhE{o_MShf`8Fs)Biu{cDq;RzP|GK?KNKAUhscpuU6YT
z^7jN|>vm7}KKONs*XLomRy@(|o|t{!dgQhv=L&^$eBCM@FpN$7W7b2^i;68iA39<p
zv<W(p(?W`29Zur_jWA@^rq=${=AZHj`l-``5dVbm3NL-T_D0g~a#*#W)f~-NSL}_A
zb7wa;ZF^($?C#v0ZO_f^?#v;K7|!i{-|W_U@Pt+S@oaYR7Y9FgZheCX*3X^g``|Oy
z+;D<nHsO1NZ`tz~E<SGkG&bqw(A7ZYU^-lZr2t5oW+7BCB&$iTWl*QCtI=}Z7%}*2
zxH_P$m}8=q#xW)-6w;)3fVs~W>xA$6E^?#w4)r)%Sw3|NzgKHve*eJ-FKmx(duR9N
z&;4{UoAcNPU_V|;f>|ikBP;VGvR3zd3wpu^0UcXf_U4Zr8%B3`Z^G|C{5krdeC%IA
z1~OD1A}%EAtbJx!OPnzXLM=3JQMLy92C6!t87|14if@TcM%MS9yl~~xx#u*9uhD$|
z{vI~gwfXtwt-fVF-=f^1oK)HW-OiykLl~4I-ue?((=mw#NAu^ldtJ6Ssepk;pU3z#
zlQ#acPP;&^FYvCt&C&^M;QwD_I&Tei$<XqG&}&&w2K7nVVnhVY12O^PPfX)=AgrDY
z!DB9>10hPNZDvCEaK|VDeJ<pB={mv%J*zQUXIsr=43J3NP8CyZ%w;b6>mN&}^SSqC
ziVzr?AJo??o6XkzsQuo5<TTNIAbT<yPPBd~oj&-N_rCYNU+4bYzV`MP>rw7ksXv&>
zys|wSwVTcN-XEOIkWRY!L%H0ol=+l5j-PlRW9I>D9>bF7G1l`EJ}NhaZiDW4wIpNU
z^)ePEt~xam`y|<w-%|>Zz!i|C%aUg4z}{(bbJXi!z6K|6*dCLL`tlJ}>U6mM;2DrM
z1E`Z;u!nv-pZ_?BBm41u{y)mE=bI9M-$Jv3kSSJqD<~-MV%Uv5n6vqoznITAPZ5ax
z&wFGbO7{EQo#+!|$@6@DM$6VOMWYWSihop0JQ$5WXbzrpUkeT;m$P5k@Ao4abQbn~
zz237)*I;)+Svh-%OIWpLAPcaC(0RI<3t$e(5Q%jivL3-d0G|}gm@BI7hGyW~Y?2w9
zs10Iv6`#|$A!K~mK=oKod5o|*3dC4tMqXKa^wi}eK@96BT7Ef}A&Op>B%;x>-x?BX
z0aJ)rAzjKh>czcUb-!4z7knc`Mba>;oj7qKKIq5htx>!;h@XHe$u+%YYsKqyycKKN
zYYsqP?67ak=bDQO-k(e^HX(>h<u2S^wYD`pvMjOjc#JhgYWc+cCV4Ak(K)0c4?p_o
zqkY@zzWn73TK{KDP}@<f@z%FUX7QG{lH0lmc@&Y4O6U~+h(}ptH!xy9!I+7|4dz_*
zm&5_0#@Ln~E6r>q!?0sl1-E0aPRA~QN5Ln25WA9bxlAoW0}?7cc!UMJzCQNFZ5wE&
z5rj&fk(A7nOh_d>Fd!_b1$YqvH|7m(^~ib)IJ=bL13`5BVU|lHM*Q@KR!!j~jw=v?
zXb{L%5|M8S#0@Douw@|-ly$N|wzP*W!qp;ahvStZ2z|u+Z@TFw*cS-@7|9Ev%)Cej
zH>eDpw=NVi#KX$EN@$LjiJ{J5e{qww2Yo<be$Vzv!{Au`H@x8u53a2}_=X}mBfb>I
zyP{g2!<oY=mz_L9)p9jP316~f(IWoOQus)X<b>ZvM`GpgkKO#**OC(i7O5PiX;LAQ
z*WOE5uYC<Bs%|_{LGJ~<#_2>7t0(I<!hM&0j*0mCw35r|MWGe3u?(hfCXku>x+1%`
zrAMQ!t<flLCsRl*+KY>Aq!XkNeHy#}zt{-kTW%0ED>=_*fDxQm?l#t(9jXA^{s!2#
zO>XcjeD6lW&RPxA_azI6OU(?{g4w6eP`8hztw-UHD!}l=e$l|XAQ|R1D-B+QhbRE#
zDPuUP-^GiAHN~)--{Md<jNHlkyw_@thGbn$b~}g*TeAIeu+ib{sH3ypp*bs(Ir5_s
zTrQz~6*>eW6G9m12rwehaMmV1^La?lToy7k<M3r2kC%#NA6+)Cdw#iCiYEqxm6gE&
zD)gz(AAA9iMa*<D@S<e?3LB!v!{N&6q1!;kfp;ak1*q*}4$VsDR3vg5VvJ0D1X$)W
zHoT(gHW+KX9U|ZZA=05j6oNi-gi__`iU_QdvYFV36Km}q?|8>ssWfu68~KjtW|Y77
zOC#>7h_(HZk9_1!;#}TnZA7C7Bz1VO^?yVhLmz(`c=84!$ZinREM#>}&|H<zIy13{
z$JEK%Q|>qAbP>rF_^OGHM#3zVHIs>N+84h1C-&g0e^QWFalsxG;qX(1i{u{LH~;%@
zCh+n8(S7R;;vo(`cPV%7Asroj?p4=c|EkYjfBoki9NS;~V(epQ^3WQiu>*~D17ku<
z)Cz@3$eA|yh8o{oXKHgfk>v#g_515q0gxriU3YJaQ{pD`nB&v#9A`_`598AOz%9?4
zfABT8KKJ0%wSRE))(r=r+&X{${IkwnJ8x|t{Fb$S)A>Jp>$SX&zxz4ItS_`4{gz_~
z8`g&oHm(1BusQzcgU^htPaOD1jvRU6Lw`E9{`TM+>tp8s*R1_tyzjpItn!#WuY9zt
zjP;Gg*=-V&<`Fze{))X1M>5NEhu?t0@o12PAuf&N;7#f~>_tY3ry4N%0N(&E!))U-
zh_J~xgadAsY^$u@!@n<NFbZr=Jf4NdU>?_lV30=qpiN8W9z!s!2NWo?E`Jg33nU4K
zMuARYP-o(-q0Gz7hG&n;IM+mW)_Re?!Ijb3$e6NhZeuKCD4X&6hy3W``m3MY;1x-p
zdBxV&7H)yj+u+;8xZ{^*5qq6*9yTseTkv%!z2jLpOs*!jvAFXP7G_*~pFI_^-UE>V
z2#+CY%vgnY0@q=(;Tmx_!_wj}6ZJ;D9<#mdejOGw>d1q7X>ofpfIBaGv0>qjk#Oz-
z5<J2h+k|;sd9@@5%YXdGe_X5m@h9^6pZv+Y7rN+r!K_FV9Jjg*X8@~;w{nBXB?;^7
z2I@hNwKg~bSDHYrk%}f^)?plMle!Mn6(d<?`iN0UYb!Wu&{Xs^rX=vE7=A#Og9pK2
z8R-F?7l>&-joBa_NqYA38Ks^xaCa8t`DP+|&UWV$B7<wLG#mPsY{y^+6O!nX28+21
zG(p<AC5|Pp7l1ZCBqOURs?irxF-7^-tKrwS4nBi#gk=@+l-O#Lc%_enRAo3^+ad}>
zq*OXOxfYH5&p+p-FWr3b!Q0~T{BSfF=<b7GOr@8AxP`0dH{jT<_nDJHVFa!$5Y?=w
zEWrfZYge)5@qNWpZWlH;3vB{A_5m2Fzg5)-e~L6w3FArQ4TvUZJ2|dwVB=STjo*dW
z;1{fSksspI_HWx?u>a19J56WNxyyNl164G~?$(Hi^wX;6tud0R<5)+coXy#(M#Oa9
z6GO>03<)uE=NZYnB%G68&;|Mm;^|qveSRsa0>|ta;iEuwr;<oz$EWUADI<2ccFG2&
z^SohRw<(#cW0|E9N_l;oJ&b&QT0S+y{S<u#5;4#pc^=8yHB04w5D0KMlI~-BBISzy
zwZY-}c>v2c`Lz-?LK;TX9ImMO>cBReRL$2_Dug=)1VR~>Hx-OROqYQAHb4^|&MXq6
z7^b_Fga}+^s1{m6*Lw0LVf8>Lt}90Cl|!ng52r)gD<LzbMszS5c^9bSQi#vL-qI?m
zAfyoHcTd026qU_cjfMzG-Kq2Fgp7bx@_5ad&Y5eR)o*EjHYS`Es}1~Qo@iR|UMoqW
zqxynGnL5(%z#NfT9`%5<Dn-Y`k*)?qs2T#n!?uqI7(pjBfcUsdeZeGXcu_u?R?~U3
zY}|uEgeFKs8hme0grcNK)(TNgI<I}H;Z<wOzEl#uzOP9hF$-F5Whzm})EtUlhwT<?
zuGJ057iu0($QaI0aTP6?no{<9BY0~JGbDr#h<8qFRG4&)Xum}9T3GsL>?jY{53^g$
zh?S^?5!5kL98^6rZJ>Ok<#1I8-N62ELPIsP!X+-yNWB~KoPdkO>Sl-F=`K1pNT~`V
z_BSXZvcPl1k!am8noAUvg0u|f;JV#@6tjv7+A*($cy_#!w9A;}%dE%9{1cgQw*@^H
zjo8^lA%kg7lTa>cr%1kv_@R@}x%=2LS@}c>ee2qhJ4n`n7?!xpSZ-tBA`3&10|qo!
zq?twEha!dCX`<V(3W8crMvL>b45M<fhKbxi0if-uor=W6NSItNiyeq~j3|-E6#Wk&
ztiX9^RLZw8qmr>WMNuH~VQkX~qD0i;IQEt$4ACPA4F6M@BYD0Zg+DH$(ZIlpA)&JP
zN~2N4-pCWH5g{?TXQ8G`St&bVVH3untN@rX1&O8-*!2?tzItSN88+L>6|iR_$53+q
zc+*OGja)WfgO3H2S4moh&=grM{8yBsF_Ut9OZ=4M5W>X?KP*|gMc%`1i$zDyVN4;*
zq>Y9fOQnc_e~9gCE!WV(Fb|}eMy5dDupVN#vzdlQPMsxj4r381gU6A>R+?(AJVNUA
zaW22AJe$}TC8B9J?!sRzAmhnath&Mjx;QhWh(Hid{~ZXtE#kn#$xSZgh}y%rzsu1J
zpTY>in-MP4aLk(!7!$<UTS1(RQK%xqGT!riq?3>isjKjVaNVp!pl591$c2qvrdR|O
zjP6Lspk8G32=Vc4A^d?R&4m}W?8OR}PsrF^tD!(;q<E!c`CNxIlsUL7(t>;z@kj@@
zE-zk7Niwst{$mirO87#Sq6ABk^@OzE_DFh}sV`eOoYk;KgRe}&D$<j5bBIJc7t5EG
zl9p?XA7TU0Bym#~7FYL(^m{iG2f>4~*Zp_pa#=YHl{N-ehXtO5&GlrwM{me$nWY<w
z3qVI=q}`4uV~I$LU}&VimI+@mq0CPNlE9w9nq#9W&ysBon&idR<jC4C!h(e1Ra0Pj
z`5>_=L&*A;U2MITPFKn-M}9~0Z8?&FtBEH=K~6Y}{2ezGTN-gT3^ukb5(0kJBg46a
zk0`=KegU}@I+j8O!4h#%Qt=$I^a*?7*w`hqg4={&&ZbMHdL1ea7a0tK32ot^pCbSW
zvq>x1s@efad9&63lXw*6a;+qj+o+Re0iif;Qa6@(C523}q4-^rnrF)+PN`Sw6OEUJ
z1urd8PSJX_<JyODhirUFtASx40t!)s<qW|%v-L`+UZ;gN@<-TX%EbT$k?OPA%n3Jx
zPZATDB8!bkMwY{i2<Di@b#xGmtVZA|xlGM5bePd-m6Wc~g3vAylxT9T4QyI5WZXpU
z!A8VmrILfVRg$476M#1?OO_QZOHx{D<&!R<KZtyo<^m)oK+aCZc9;wnqv|2xU7Qs|
z0#!F0D|>W}^%4qYiR}HD^>OH^9V=^ntMxNH@O=B1?7wzu&ehJhId6A<%K51CY3DQW
zCzsKKp+8{8XXYL*gb^r2Z^)|YJHQQmf(bwy5^M{V8a?OelG%#<2WChatc9C9tOC+2
zgr2U-^Po(O8j{+`^#mT{3bjZ8VEhTdHXc%^{t#<^VLG)5yLnK}?5)%xTOdeuk+d0N
zfG~JaN9#T6(-XmaJSFH5IuNs4xHZs@fDflcfuV_mwvKvza2%d25^TxwhNcSt_5!g7
zRhU9`vpPXh8(6GR<k+O)3eNMJW*HX*UDdE{(>3k_p}PK-x^21%(Z`6>cPe7cdk`HO
z87Z5~rk#o&iI4<un9CK4e?<MeSq=&w^#b1z70vk2Jk-3T+zKicONdtkx?|1iru-h<
z=~$Z%c$7XVdt`Y)@hwHhraUm{7rir6Ma4xmLJMI^n$V9;rYRU+C3c~@q8h`K8hXyC
zia?4(uCDTEyX0vW^@a=<Nj)-iD~UM|aJ!i?Lu^kSL53o?CyatTOPG7JKA?MPn$g-1
zS$88197DszGH7ZKgT`3<nma8_mw_^3Vy=<!kTTYXX02!}R5mn}*7|4-wh7wGtUR#~
zumq;PhO)x3M~fBeUPB%%N%c{^RF*RqHG}J@^59L6G!$eKVO`P>*!O@y)skV+P%Fb}
z77`5`X)W-uF2RX#dkJF^ro${g`PNLk2H8rVT?vDInm+QF$>1@~t&!5W-WLdrw7Asi
zAPS20y7Tj`M#Ndz+>lDoiM5(@i@mNJd+u}FF+m&;ke<(g4rE|#rK5<Xf!V)o<8(lp
zG~zGH(pd3`$Or9+4gi`;wG8-UJ$7M~1$G4n9TI3OCMO8j{uq{U(0Uf8B!rIuN>-{>
z^7L{eoM5#YxeZ?O)})n|THc98lZ9-K0xWxJX$w59`&5fd>?gg@7K2*dQaG8yMbI<(
z(l{L<)K1_4!n2Vu5p(nyv>y1G#DIDdSo-Vbyy!u75ECY}5~)-JUjShRp}bP5Tvou#
z@_Cek0;bZqQ%W9;E%5B5jb|po&cw_c{j;b_LNt-Okfz~gUWi~-WBNvsz*vnbN_V_Y
zYO*jkQ~_6X(UZRmgstvF>>xXG2r)vlc`kk7idu!MKrjd(0No%e!=cj=2qQBxF64>|
z(MZu;%JQ&uW|T}4Z&egQ9um()6X_Ib&cH@t{0KC8^1oNl^+%kbXr#mAVJHV~3h+Pl
zk1&sZuwLA1r8DewNUaea4ewA>l+6yJ!Zg(RDEYNX*t!tElhQNTjpN-8?f4Q!Z7?BN
zvngCqV@a%;J?}iLfl{Glejn^kJ07zNdE!PBRwDemZzF_Pq2T*iiB+0S1q86|UhmNA
zXavfR<Z{IdVF`;nlO+D1bjA8Br_-+GH5!#P!3~=nF!3@UplgIJMRJb;Aia>aHW_Kw
zK>s`jomik{>H^5v$*UWzSAGg?Th=wFIfnA{>!gePE6^&470eALCu)Pex#7CsPceRb
zIF}%Xb3tZN7;2sUw-gXHR`;roBATrx4x^Ns!UIUtnopC6#0f*AV;dsUhv$OCe<a}$
zu>hGwn>})gGC>Z(!O>JxHHtg#bS?abW6>ttgt>*IQ5|Wfis^{Ai@AK{R))gu&;zNa
z*m^hyurf0G<+?<_r45k=_983-i?jx~L^-IgELN1El31(UC@B@!k)T7QLZeYy4)R{h
z-gA}ST}6{KizBRGPG~`?DcGd&5JDhIhpsVou#fPk35J?yblN=a%weGRQU-*<z)KsC
zAURuT@3RW%8ut?6Bg&{-FQI(ba#Kl`kRIkPhL|JVp+sDA>adtP{yeYC7z#E;qm6^V
zqYzZY<$RvYUOtb<gZLC}NI6p2ho}sBbs<-Ae}x!}2p`o6JUMU<$Y$a2Y!7d^FrG3{
z?jG4!KP`rcA+YY(Xc7*Ww&Ib4<3UylxyX+lx&xW-9JzdtgdPh00J*q668ar$U@cgu
zte0A^v%bgr8R)Rzwf@#F+avp&{RR`aLzuwzgbl!H@baz);u^tL3vo@YtBA8P-a<%J
z-b4~$q_@OKLtF)NgD5EqVSq9~O;Vibdn8N&E)XgNksz3u2r0UtG2|+E#rkOAApy3L
z3n1Y|766Wf`^WK+@9j;OIG4yFBuW=UFC>HXXk0QFnB?**Zfn9P5`_Q<A*}|(BP9?e
z2%ZMFLtXW^5iOS~Zku*&&^N@|AW$mddz&b|WQG~j<38n^HV2{~wcd=2kIR;igrsbc
z8eO9nmu8je1+*DbO}9U_(A2PK6ePft@H1$=Xh_q3BM?VmhI~Y^dl)!$?sUkIl$=3S
z#+eDSM9FRfkvy|-sUWGA`*eWriB!{|&}0wcIrM_uLp9Q_H$qaUy15U5hzbhYfe3_7
zsA9T6xTZ3L*Ykoorzm0s4KWhX%rQ1TB(ofBR1dR4yL{ROx;G^F6-6Rj(mj&K(`xRM
zm4WV3A<!gDfreg`$r?h!fP7YoqKnk%Z9~&qhY2VEJjLA$9+I@1!j$YSHj@}c_GolV
zm?Mn2RTBJ!=abF~0_$ZqpTI*HjzhozU{Clsthz?psW5%OAtK)CnjQg<By!&W>XI@$
z-)oZqHQUInXfGc8GkX_E<i!opj^uE6<SD=e8xJ@ER)GS66hYQ*b~?D1@;F5zPYEu7
z4(w0r5llpE&joE#-Ng-%9^sMNYa}<qQ+m|04*ndxh^Ri9*ijUoOadVWY&}SS0mCTb
zsR}g3F>kf1PWXks@2BUs(q}yH#`NAFDE)eJIKsg*HD?il5e$wJ*L90`5@2l6WgDz4
zdyAedw}EbbNxOI_;K8wH!+#bC2+Btbi%bS9Li(=w691RStB?)1J#R!P!J=FC-ht4F
z8!hE>W+)wnf&e8j5pvavx>W%u+!;O_CcUj@5g-WF#v~cvTB00q7Meu>l%|xhxWwNt
z0S*F~$-q)0P1A&J^vOMn!2oe6!b`}<u@WF@8#+aEWQYffgb)iSw`jx-v;=hr!iw~{
z?d@&1OTU~SWHIoE3<hF`&UtCtKnx2tF(5UVN9Kw?$*z#oW;R7LQl)yxgvx)9_5r{l
z;XLjX<`T!v1FSmJ6j)m=K2qR52r(uiG}g>?n6fajP>AFZ!O~vEStI6;8$D<t#AHZZ
zG9{W`I)~Lq1r3Gyyn)3?W}x6RcJky&Z#eW$;*$E4mOIiSLn8%dh1_F=oV<EQC=@z{
z)`<nRf{DUnio8~_>!Z=NShkS7Id-q^Ao4wrsx#^jSs<aQkuYMu%5$I(bf7aGP&TxP
zRo3mwl>!tER5?I0@wuZp6t{vRIc@#Tt`XJd4D55XtHr91#byHmE=3@pse|-AMDZ>a
zVF?kufW=HajZWZIuA3vb7KCNv;9b`J2k#<et?1{1b^q+>U$EY&lPMjp;DzM<=yb+M
zp_mKD?oS~98+J%!HvFIA`<e4=qLD{a$%4vYkC+lt2VX`0WBmt(#XWu7ur+Mi`PUWf
z*24%D3vYkup|?-R;4xI=vUA)u{)TTx8|F<wN647H4M5(S0k}XfAfI~4h651u){!|E
z{MLB@C_|!)ym@3|9ub3R&M3l>&TgZa(UsX9del{V1Ke?WJAico^^q0&GxPc&W`l>@
zP@h<BGN)KVIn`J^lEP&J*n~(epGQj>#g;1ei8|J@7_~uq;E=*(XIawiCU&>P7QsXs
zKEhCzi9ACr%b0{rLF1<`VjiG>eg4njW&Lna`=6m_J52WSBBli_BC?1$SQlX}V;mEy
zJ(owrijXWC+p8lVi)GSyFGrxFs2vOXas{r2+F6WfR6QaCCF1$KsXdk`mI}qV^}?X~
zCpJK9w07}g$brsz9lGuH(DBgQ$szmU&_9s-{I$^XU$z_e4fd_}ciJDef6xB1Gw=MZ
z^N-HO@F2VyJ|0G+KSiO8wPwJJtbxH?O@O9@A&1}yFw=A%-4fa`t$fi5dXLP6nspw`
zwb9E2(+ZwbS(JpJ!#ECsSUEy;!d_s}YY9LYQ5&?6whV74*afTusx&uyli75$<oxxK
z1T8`Pv~d(QuZ;Fa<eE#VDm`ce+E%c%oL&u9=1y%>@Vqu9k5ZYu1awl~g$4n$@}wLh
zurlPADGchU#J`@w5X<aOGc1zmKo&3tpm;fW1<i+;qs!9EsUa$JgT0M1hFuQA=Snb4
ziWxG2;!&waVMPgQHqVtdfC}53SHOB=5%WC46v~1gF=th-YLPw>4_t&us$8?CH}fV^
z2hAqqqU^v>SAoojNv30lFonGHP>-4RbDFw55pr%&jD`)##Y6;|8C)bInh$BZ7%isN
zY;1l}@r2$7)^EeUZ>9~31|m`I74e1usx;ISET)plM{I0ZCu2sF1~LxRg=7uUnJ8fu
zCv7a3L~T*gtQx9?ARA6-H)F^W(ode&_yp^hHbNu&J%G}X`gxd<(qK?1eH_wx)ve`#
z4eVs(W20e+X_4j<^wAwD@)T>ntTClF4FEDK)@o4baAZ~yL%~v{SczM=O->>vgEP`j
ztL?=}pt~Dss)Dji$$`F8T1(v<^bMga!>@4ZD$hJe3DOFxExI%K4xS2*wcvtl=sts|
zctV<Pe)G@#@)T`jP>f7)GzXJnwh0P)GxOZQGSE0_wUUU+6r_p`Z5;3!s)iXcGl9%d
z{k^<yw)=)QE*rZtiurF~U<Bv_X0a4LKm5d<Xmx=hha6mATU}Ug)J504AE^s~S}yXg
zwQ=8dXBQWtZ`O7Xcdf<!{WJT$9zNQl@Wg&5a7=(DmVQWB8k$9j0A#(eaO~LG=VQ|t
zN#MQ**+ddanD00ypXne3vZI(A4!TA2f^rtM0AH`V6}(H|VP^t?0}Y@QHR54WaER;!
zC?mgsK3g%80kAN)KoJ=thi0fG9^g(%;<(??OS)<<bz;yg+~8P2&=W}s0s;xzSP~c2
zO?FHOKJ*SyZc(W8cp`<K3yUmMi6|2k6wo-dX%2!^WF*aiqCvkBg~o}a4FiK9en?2p
zq}rrIB7lrC^w2GvASE6SwBht3U4(w)9yJhpO(ZA<qxMbU+D;|N!BFpk1jA|_w5s%P
z@g^!o6$EX{a6#!YFa#iRP~1t#z!*v107dIsL|H^IB+VjB2J$YE!)RTcRGh(!_VHX?
zm_IR3tj3$~tcJZpp<FKDfRjt@6C?t$TN15rG(itM#pkA#Jq>SpF*0Z*7yPaV;Ykb0
zm`XTKX`-shTw%Tz#;+!PPcofT3}+`7IpXKA`hx{wWf>Kp8|#%i?atixk-a*Z!S6?!
z!Kl6sJ&jvVG?zQ=XfkfO&DP4DSDhLTm0|7l>2LWxCvK7?X>QSZ?@PL7qqw#`(W|11
z?_=>|#EKtHCheVr^iH=*W&HipL)*<P<#K2t3$-M}^ARQ)n`B0dpda7wbbEt27Fu$B
z<Ie5D9BaJNY7nhE*T%0Y<+QTdtc`plp37KXy9%R(o{8a!Ojec&yMOR`<bVXIf!KDD
zgeBgL2jOYAS&u|t?!?@*W<S^*nq@dHhEa2;b?2gl<)mYG%=#q#1J?{4&qbz~XUm#N
zX$K8UzywH7&lf8KSgJd?lV?<DAn=86f<1({Q^|NenMI{1cm*dpPm}o!+skSmYu9*7
z5j{WQWGM@`rZ7=<@EH*&MN4=*Y==v1RRqQ&(k0m<9y`;Zp}!6ALL2gC=TV3rilg4u
zf>V=WM=O3L{BR_Tlo)scoH4~3j!IpC-_<~{k;z?ldpcf2=1$=eKSQEvCYF1!8qQ^N
z&w@+V(uU8I3YosL{1AgF;5zWjusgDV6Hm2FhuIub@?nSUVFnN(&pbm8i-{(b5EB5V
zT&q>BI`Kp<MwlkX2&31MU5`YT=Aw~ou_!|cs^>{NK1{ILBUiCQ$r^WCYU%FiTuBDD
zOjwpg6iDeJC^3`yBk^{s0`t?1EXD>@7lWr;l2pJ-U^;E@HzgS>o!Ez6vbx>t9Oog4
z5Mm>ZU~c$YMwa0rvlK(y?LyfBZk+701Wfi%CfFiG>|u{bs!MbkgAmdTkawJ!<t(<z
z{>8`a1$curR;-~pBW&^39p3(W!66OB#Mpy6)_=L}w%a;8pZ#LzGvC+gbYAh>-7k*b
z`ObIVV?FQS#g=vN!EgW8!H-$r7pjFEau!@={dy=Ln!}6ub)ol!emwMBq2CGp9g)a)
zt*fjTTd%af54*Mx)8vtTmHl(}AK72DFFL!<IcQl!CJI-IoRf{J?|<znB_8QX7&mf_
zni54*$wfiAfr3kjZ75_2jZmIQJE*(Gy&07zjNg^VJqeKXq{`_-%0eANNnUwcw4^Z+
z9*x}5^l4vCNZbb%Q^M*?1%PQ~`(?-u(-g_Ad>`^_R{G^)XLZVwC}>SkzpRtZZ)0(^
zHCp30DqRSo9ypqEpbEsUuJvWvdSxTG`WS-G1_J@0dZTBH^lz<n`PnNvGpk!8&{s>=
z2-U{j&>tqB<rU+E-Q2Wco(I8YriIB75yMo81rTurd11IcXpeyAH^i5S4nt|`+t4LG
zlpiFB$XA!=Anqa2%#}cc%sB|2QDA9n)YC(6db>9br#mx*)APt+gL)}bj4Q++^xX(T
zn9~xEiXJqLP$NeKZuV6Hz2z9LR*yj}iEz@LlJ5mf>oy(H5mnG3oekIv(^OT&)2^qP
z7)~XqngCj;g<;OjRu<}e?<oc@I3*(V(paiAvjQe2R360cbl{=RRCZ6ZijA1&Y3+$C
z0)Ad{%u7YB_rJ`(cOgpT61)$@<rskMMeYJVNJa%hk8ogRi2$Yl$c?12BJxfGQUlhy
z91br6C9<%>Kvp0QVypyk1UU07fVebh<NybepqmtSfT$v-XgG47Kx8$P5a{T>gzit_
zrL3&UWnoNo_0t^O#R2gTG8u?H%+27ab%__KT;M(j708uaXq3)U1L3yf*!H3u{Y|<+
zuN?L1PjY!eFp=hcFi#A;T0NDr5tOADmnN%g9UsC-iQl$6U7{gWo6SUHqtx%Oxxt;F
zO4rL2PHwN6TS@(7B_49UyAFN?+AP;tT3TOSEkY60{iQ_!d)!)|p5ItqEfB_};Sc<B
z7};1j#$o{Q$K1idtAZBdvFgrFN-l$mSY<H4bcFGMz<Nc*eMtlWZ^hi?UPai+jaPSe
zaqSnGP~A&P!-QB4Wf=y*61V2Mz0$)P0oo@04Wnjkcd*LS7y$QecX-7yS(J-U9(3q%
z@HUuedcXHYW{N2yd;o;j^k^4ylL_|*`VgA8<kXRw*9TISe342B`06-&`Y1TDB<@J0
z*C1wict|or7Xrz=>?5FDgj#%racoBKxV^otXB>ww3+{o}R0n;`{5Y1LPxH4W(bzyA
zWg-_c?Od%x@U@!>FVPKtrsHWp(MntconjjAh2QLjkIc`L;3qSRM21W_R7bbB9}A!D
z^;k3sm+>EFFqp;=JD#v#*Gwgn@B^3cbiK3P9)s&v`vXEnZq2=k;ERO2IpKsG)kvh(
zL(qsWrdBH+T=(QFAkm}EM)*4sQZv`(Vk{iTtsdi|Ih1|#&`kNcaI}Opjx@fo`5nx)
z8Juz{5}m{G+qDbBNVtcHia-*>XqdE3?8ssv>=g?H^l)m~jQbEHw4pKCFhgZ+5qgEA
zn=cQ5XZAAD*>L!7UpczR%@Z%UG*XItWnX-p&GkNHfwfQ@jEf#bzAB>$GdcvpS-^D@
zxMMUDtjBa<Dbu!^NB-jnKJbBT>oyXN!>T0z;^BuMe%a}>XV2EH7uBu)!Jk@vDBI(w
zrN%6+{01-lo-Q6hTiDPR+0a;0SEL7$oEU5gC<f9>loGJ=K-B<^a^cb&?bN%{iPy0}
zV?P@U6R%?9Ia}m9Xbdu`NbF~nyosP4{obHYs$^Lo{(ds^Wda9S(W7V2?)>G==gwVy
z&51@`&X@M;>NVG#KE1vH$t9VaCA!D@@3ifwjLuM?UH>EOmW-qXv~U?|Oc99Zj*Nu~
zxc>4rgU3JwT;q+<0b~Lmns(w!)MF3_;v8uJ^)@WMo-~pmG5JVvpeSU~Wn@w42F;z4
zuc$oQw7qFP;*htaYAb3Ba7PxozNDVwZKX6JG$iUK3Iej?6NtGiWFzcmJg&U509;+e
zppfuVDMAZK@rvBtFGC75vDkIy@kxioW$7Az2emv#CZyA2bK53y5%v|;Dw`g>0Kd$Q
z_tJz?*%)b(d<jXk=xN7_5jaID3J4T|X)o~(a1rKgG!jckNIFc+212J4BE&TS)Huy%
zyNw$;NJhE3r1*%)x|q$9L7znwbI(R+Ni)GlI3QwKA%ZvU)$xy&w>_qgKvmF_bl<o)
zIwq$Bi2^SEIa1X3;X#xl{@F@s3qPo5lcn^5(8HmB8+uFVZNx(RK<F1)66^$TeeCfy
zMllKLtJnmxHb?j;TrE^AY^@U$UB?ccn;|viIV%s@()vUcv<_vX4i(!4p$jRO^h}WO
z+T1$gaR^)`l##oVYQlwJZ0_ci3f&Y1$tB53RhkL`!|N>V<L5}FT0I<*&%NUM>#tvl
zqaaHpR(6_%{CQ+&=aIy-@B?c<mqdGy=)}S6yWQ>`**iPut^FHrxS@SV=FaxdU*B2z
zt_L4{@Lbp0r<^-8ceHQdq3hfG=gys5d5n(-|A2%(iNx~c-`siUo!L9O=dHWB@%jha
z)c8RBk$C)(oyVzfWoNRSD6N><%<bp7OEs7>|DH0>bv}Hq{dQOfO6h#(^&Qplz`ol3
zA~kRF+&k`2<DMnB@s*38hHLv6aRIIeZn(be_l;yL*bfj#67fw%a@sSzt?dz;m(9eF
zVDmu=BK0#Mhi#<I!<(@8FG<B()ymT1jk!WPx)Dj`Sb8tJ_RPW}R;AWg%yp|-tu8K}
z&lS_r&2SQL_SVbJ1UC#)v6F6cD@U-O`DhFo%|mGqoB8xMKFKR1HsMYxb^`xZ-I1Cn
zrex|NVh53>Wjmc(UY>WcAC*t&zqcO={hf(Bv4U6VF`{d{koEXlGIM@+=!ZieqSuD?
zVwy)tm;+V0WTJ`y5XktpAqC}iqE7W^eA}kn`^;JcdPyn>{E<{pU1v~&CpJ8#7Zi(C
z>P`<dfPfu-nWe=NL!-`NkbPIJ;7nf&+SJLn&m#t8bNu%>@0E{~|NcVc)}Iy@6uG#$
z@B$K*hOe^rNxpt`{^-HWaTL5W{BK~HiSW7t7fu1?SCqcli+uLXnKO|atW%~G<*@ub
zx84zf{tRD#CUwg#x7-+czwi6C^5OZnjShFAm?CceZvTz{zSV-z!^9sPgG40~nLu-R
z9xAl4=el*NKP8zXa2AHhkzJfx(F_77;lW**h27BNH6HIF33I)ca6*-s8h;I}c$rq6
z89$97|Kd@2&oIN4zYG)?G#|rkntu#IcuO2D=p8IO!(?!#H(jj;u5(ob?|MOb!_il4
zEVA&&miZj9or%gslpV`q-?lJNm#Vqd?&97qv`(xMuz*4EfXHmQU8_m72;qWnXtxEV
zO=qx<LZeDi=)z;MG{MU3yTF)r<&_04123~##ubehTNqnFyvi!bIEaueQEDz%=_-br
zoy*sHO-#X{FGv<Fqr*xSYM6Wh=*P;XT1laCQ9}Z?i8I`&RW0MM`5bgwZ8AbXkCpw_
z(7Qvwa9O?}m^U_1Qn1f3(!ntBsTFwnnwB9-5@USJLN|&>qlsl;1HU}6p+M+4=^n~H
z`il_~0E5gKWXcQRr|wl<SA35Qb3QhpmrDKV62C%u%O&Ix_I0eNqvi4|cfOyjt>tva
zje`-Zsmb1h>+6at(r#rJ(NkJCgZ!%Hr1kq{|M>R72@IXw)gL4vkc+gBk4Wx=EbM!B
zc6N6U?QCr9d?!I|hKCN#^SN?pq4r~YdwUqWubpKu8OCOUxZ>qXZQ+-$kH+V+IoInE
z9Vt(44De>MTHVVPt-|_r*h#61Gv|-DdyVDRJR0|9s))0?H@8|X!bAd7FX_R%WakV4
z4`vikuo8oH$V9Npr6XIPGs8I2d0D{n_ON?GUn8?$)-;1H)M#91VU2@zuBnnTrZ0_=
z_5$~9v+5Dg2mp`QLxg<X*f@4<W3#D{kIl`EV?RyyWXrmhb<{%j%eqtiBl$C@(nOFL
zU_wA#vwqk2!`(umi@;PN(pj5f>#-|~nI4me`KOPyv3<01S@whM$;cuxSA^6_6-ucj
zN>#ryAU&37@Xj_OLJ3GANASnN>?0Sp^SD>Im<`D1corXMF|-fO@Dk#Yyak*7VC;fL
z7zi0$U?VBSfEB@Bme4@|T6)^?jL#-9z8IY`HfJo;fYjv<G5Fk30{WtCGX+cs6MnzX
zqzeG)aRZKh0JOA*nk5!<8s=!>{R`rd78Y#%u!l92H4F1-Xmm>dKYH@y$wokI)vc4A
zLcVTKe>UuTzVJM&ZY~z;<hP#P*f@Fed6yq+oV4y$C8}Vn(bzJ_mD?7i2AZDI>3j2q
zIt4y*ybf*0q4~TQ8c&A=1<E&$Stt0};HKBVo_44iuV<XSOKY=AoT)LH0&irjm8BTK
zry<Q5g4y`fPjY67Vo)bVBO}gw98cAb(_c@#_QYQx9R^eYLew;?mQ|^5>0lXu6uba$
zzhu4n;8E-R!J|qE%MPnp=VwO`2!-hX?AIJzH#=jU8txt0-<!w4DcKh`>LxLBja<6?
zJ{9@o!Y^bpzmZP=hL_3wA%A@7S1XfwBY%HM(EoU%1GtSgAmn59C@}i&;2PtnI9-n$
z8n;RmE1cyuZdz11=|BT>mLLv6pTQJ1ladszw(nntl}5H@gm@C~O#%ZC4Gu6@f=vS;
zOq4$n0Xh@tB?V!5b4992cVvD4!8@#%9=s#3@HcturNQ@K!-j{6<8Ou8$M3~a3Pk`Y
zJ4t-BXl*50>vo00V_~loyB<~_K}E5YE_Py9$I8t{E>A>hDX{2uJ~y!5N5N01;2|PV
zU^-s2>VM79mP-Xl6GG!hn=k4N9eWP1tZuG8Sgw)-JPaVNKWi{Q7a<AsQZ~+3$EvRB
zZ37_fi~j;o`2WEZ4&W0)mm%Pcgw%TR84@)6bXkKl5~(f(<XQh?ynprK*X|ujCg+F-
zPCoKxW9R<SJh4V?u=-ju`414hygti)M_#jcgaqHgeU0Yi{`rw5%XjWer|$^vQ+qCk
zT>JIbL&QRQsoEnt!O(GL$OBl+Od1Z<pt_;j6|8FAX;!v~V4YKIbv#}7v->zZ2b7`|
z1FhlB1OC;szopphkXt@msZI!Vl_CgFHj_-m)A>SY0-k~)>$J<rc#^5s93jIpmCA6g
zRwF%9VSWL=E>)`zhujCR+3UA3*3KUMF4RhgEtSvJts0v@o9Vm;4OX?fc4%P%=fq47
zdIishJd}yEuyAOtT7}Gs`-u7#^l~tgA7(B;*AL<z_vi8`WQ&DSHn)&WG*b;A7-9cP
z6rIo4IDi98U;O8bAGdypn5I8K-qBySI+z~46LYDbw?1Y4A$G&W9I*S0Ez>BLn`|hc
zDMMgmGORbp><Wel`8eOa-Pu3h(3%KMfUyD4k-4*H?&}$|6z-Sw*w<UafwfId#)h7h
z>L8c~O_|<MG-XZO>`lp|09uKp*=A<oZKl900AJJ(^Q{NK&3sb{(gJ>=HZT$lb8Z{P
z77VnhD3fed)9nAhv-5y+>^ckmoTGBprI9q!)E!OL&dh3NcBk#Gz4orV7ZS(olEjXQ
zucSLO+EKHvG{pg8Na7?8goHFm$OBS<Kq!v~34~^d4GBr8DKwh^p*(nm7a)zY=KtL*
zjmNRg@AuwnN4n+QbMHOpJ6|suI9%D|j~Fp`Th2J%#ZWDHQ*JMP2qYO!b}`u19{Csg
z2GmG+jSPUq_lPcDw%u>{%qr#lPN7v<&q@w@kwN5pneS!1V%%e^Yx43Ahiu4sp2g{X
z63vvLEBO;}&Kk3h1hnqxSGulty%;3AFzDSGr^BJ~yG|_f8ax0u5d{lxB%R8OU?$<+
z<nAZAYxg!Bk)}cuq&sfOF6@tLBalQ%@fz_aF&Bn(NJ3D(zK9=mh9&|Qnx#%?swQ8i
zL4HT<^F-;QVZo+LxUw)BBwB^(M(s)kHOZCa^ddTrq&I@gK+KyB1xLkQ)SpfTrSO%S
zJT^WMN~IC2SOUS|U<P$-nv^Bk!G%;dgP$77k~3NHS4-Xi3e}R!5tTA(R!R?$N`n>R
z_Yet<1BIW^YeH|(@$$_>;01~rIv`Gz0dY~l;TL1A#Ff&>7sJ;rbIaKigqX%BQ}9Wi
zl_B&piFoD}*pD@#*W%ZT7cc$exPcWIuMxZ>P>5n1z^ecwBvy2ML?hTHMbQopCwB+O
zrO<*DNMO*Y;&$TfEdxe26P4KGVDOwjohA!9Jm2(oDi=kf3Evw|lUFbZt%wuI8X6|u
zZY-Y3q;V6CCGbDklsuZ?fpm&=Vafi?RVvXxG(<9+#LzH-9hVS)By)8v5hwezR?)0f
z1dZfUpEC?&60bsnK*Vd8Sm{Ur7gJOTGHDWc%VUdyL?U2RFd79lMV(E=F2_*qL5n7B
ziDAHKi;Wn!Sc0B#kj43L(uhq?PEilsJHhiMBT}9^A{pE!0E5KT<RpoN5{}6@nVPwe
zs%j$R;O*egWHQ;Pnh>kGDD|Y+3l?7DsTo^9MWkAQ$GI`+7hh^Lap?7tf`K^!MZis>
zk1)Yw8_o{RB&VX;Ow0y%50XDt!p}%4icR0~D&P`vVHP_PqB&JqNxLPlFSkI$C#pPp
z^YJw33}xRhE;mMuXPipT3}Lu%Z2f~CtPcGswUfSIN>C(14~uwOBusu#vV;?8oa9}D
zdpt=d<HtK9>tM6+PvcuD`DxMIk@G&HzAcLw2@zNFiwZNlFyteJZ6+g0p2!%MN!==v
z@30ym1uQfY-scK${+)RD-T@w$?23|LLNHD5Be+erg%kIK9T{dm8)DDP42U{~!-oRC
zG;$k&1{|88?j9K)5pR(=>v=Gf8;>*1=uX3tY$S!oh`Qb@tJl34J*XNPoj<=O1<JkC
za5Vb#=}VVxzb7}L2QtUs6AS_X@z{0I5c$c)2Uygyy!hl=G!h#cf?6F*uy#g~rO6IH
zI!v?3EXsETZ#_Ofg{+u_*9-Io;q|`i=<nm?u^V%El~v>ur?$5!iVPuUSY{>r)f6^-
zm_ag3WKr*@P-{Bp5SV9>c4_P5EXeO<3fh^v*Z)G*eCVNvUTa+W0@&={zc|2Y`3q|F
z_H#e*@WT&({vPuC1(pAvE3ZJw`nvB>V^^M3lUJTx*nG3XCt~PTm)q#U-tw9cGQn5=
zO~qew-Fx}*%ik-}OD7+=@2<P<dQ0r>cYIupGH(O$T0a4=B|6z7yq3i0!q<zHU>!Xt
zldv}72wXB-4r!RptDhjC|8A0q>U{oM6}>;IugT}Hd<pM|i3yLq?}YyH-Dl5eedf%I
zsa-IziNYkhIY9M-0!oTRp@2#{Ucgh~slHKk6lF$rfLa)m+uG6GZwSc~Ab}9g<{fYl
z&Z#HEi4SNOwuDyD6j~?Rd^d>Kz+{gBnig&+q<9j2kT@eaT75YKqaZSMw-@#VMxBq`
z)|E<}b`H!s`_8q<(}z}rr|%$FI0_Om2|JK4;JhJsbpuo~S$%sDuYdVlqLk%8+V6fh
zAvIvWzz9>Tyr8O>n03*xIjb7as6>2tsNd1Yr$Mh#bVQP?m;#$bSOC5lUB>&<X|iMl
z2|6VRB3oEoUtKtUe1hC%!my_%spud+E!2d_^v4taPzu)?@el$J#iAhs&Jz8jW7$!%
zsgDDS(<vb+Q4rKA@)&a=NWe?=E6MSXPjx)>6b2mLBH*V^23ZS9D<I#mHXN)Zu^b*F
z27QJ8IR7AUxYdEM$omX>)BU0`W2xd*p8%iWB&dTSQmsoGt&ksYqi`@ia4d;AVP<eJ
zJ*jj)38hJ6C<z4OBuD@YN@5GAP?Dr}rpLjV>0u1o(Sd2IQj^z$5yXXxmvGc{UPDqZ
zp-b>Q^&vf?KG7G!&*nH%?sa{4_4O%%1P9>&N4}#w0(Cto%M&AU^c*~rASbTlTFT!!
zKu8DD6;qy7pHVY2vooX%mhUT%_x5IIW|TR0{=y3=tPnarF_Fqmk=?i3R8AsZu6R9#
z*fAXBhOc}el^D+F3rut3)(hvSaSRBn&H~&=c3}bU(#*n-^mfwe%tGasg#|?tPaPZ@
znu#0t^v+4cJF`>gZ@+ZIMC!!JlM8?B4bPyE3<ihNNCwwx#>NXydxd%*tFX{_P2Y?9
z?ne)f2DU4bi`vdz6R1Q)9nKCP_pQa9Ti)B}#>ue*S0`)IprI&DGBPku6LH2_=R(#Q
z>jMjdLjk&YMLb5Nsk=l)I2KnRzp+Im2^B=hWu6U9l+>w{cL}k)6KB|~ZoKirg=Mul
zH~-?7%+I~>o_p^2{oDYGQACiT!DtSbLgB6mM!ikE{8AY5`x9eCYvbAqoM0v!BooG)
zz1i)p=@4$C#v3b7Jn_WE*_jCe+=<zli%(EMi8>WeT!Xve^yI`fue>1<4^=<&na|va
zdSGLjkV;Qr*Rm|IaRKE3N;Gob_^FPeqQ|H(mdj9rB>)wTjU|EsOue4Ik-nUsQTO-d
zusD<i-wA_@?h1*4S4Gn&+9km-?%syss=C%)PZwl<8OTYJUb$lr912nvGJ1%Wa5s{k
z+|R_xl=>tYb<!h5ypZcHLY|vwOcoF;($l;#L!!BfxmA>bk9lvtxj8$(x;%UT%Ifrg
zUUzEmqy)rxG2{{6G&hHC^y=fswffN;e&-lEZ4WMkC<Npmu~uUA6D2nIh;*j+NgVB0
z22;y}gV7(0g@z)eZ6U^+I1(0QqCY#B9Ta`_c}H*ZG3p}y0@>kS)%R(}!<7siE3Cn*
zG8Qi6@HT?c0S{d9!R~TS_MA3|cg}FQzYb_3RmiV93eFaNI?59{+7&=V2%!T$?r3s~
z4~JyzWE2GyIps8&<+#8s@;j5^Pz6Vd5n+<{PWm*qH=sj2*O5<NJu=*%o(n~Xh6uF>
zvBTQQuz|-=CrKO_{3Hw?o{I#ngAe`qA11^X#~=<(nj^r2GJ_IZ<qe5Eqx2MBv0(5`
zH8FAe^o>W;ZM)mIc?U@ii1%$c;*a6ug1;g;3}7&cvLo9H!Al@osa!`j#xQO)h9b(%
z$OeXoVj-WA>`#+oDmb9F$Yz9NFtCC*N*IzOPy-#nZwVC7L0=%*p9;chV)MY~7QafG
zdT^U@vbAzMv=Q-X+?lv6$Nb|G?n@$#u_#~q?5B3$=9|Ffe%{-wCkE2K#7sXVMmXab
zT(CzS!#fyP+EkSAWz^KU(QL-wPu2nmgE*JsksXnW1^$eqm-9XKr1~ZG9%^Y^i@g~S
z2!SC7F1pgIGrh99+-Y<`?8xM~#GZ3}01B=b;a}FQz=-p4byLhZO@L16&_Q8qpPw}X
zgvAdB0yB@~jvX60<@XWyI}Z;YI<Y*H&rq_NNc&`B5U*HJ68o}F#wI2}BB7C`YsYa_
z$)a+Ptqu{f**`XVDls;iKQT5IIyE{*CMK`<o0g_eQ1>Q&VtVOThJXA*;RKO@V`FnC
zPOoY2=x9Ec%gxT_mJyQiWr@cJJ)Vslu0J_6G#Gi^!zjRD5Yp*fWtFs6YqK*rN=1$r
zf^Zl!vuk)H;1%!iyM0gn8UXmHV<D|$yZFt%KkWNUY^PwajjqztStT+W?sAd{5%%D&
zoRO0CVYtyPj8WbhH5pKJB^h_zvKdr9?n0C!vf>O;O~{yo0$E{941@0s@)UQWjp$pP
zUow(7eaiK;Bn+i@FSIH$<6WA=7D^OxKEz9e8KisX1}X7wT+gn{ZkD60Z+QmCn8mJ;
zDnBkM>eo}$=q84La#)0WipS2JF%tdhp+wpk3MUib|EnfR@{qkix;KTN2a&0vXnr|H
z$;!dWaVpIQu}5VlCto@?1~QJGc;STigwGR?ue>u(eNEJI(a%vpDSXW19r^x1AP3#(
z?;l&t$HF?9pPCxX4UXyL04d8n@fdlvQ)$CEwsPZgn4AIR79;KC>8nU{sjiw|$m)^f
zg;5HHgd<T$Xx6VHAssp8zyXn<e>68Sg#@TGPa>jvqv>>Vbt36u5$F5;@sW}Apb8yZ
zAMoi+<~Y#|l4C>7kB(9(oSHV#q%uYak`x{pI4L<m6d*k}SiqCThz|{qTs}QLoWqyO
zdzy&9B+^v&gNU7}bRzK~STlwXIbF{#q6R38jYa!UT)U<`qi#O+!P_pX;2A2Hq_l4c
zjuej+hB!?fbDlj+G1=)8XGYby%H+{8f^8%`QLIeZl_EO)o-@>Uj6hrvWuy*(fsfT0
zWV8@+*^3=Y>)2}`pz8uhfTaUu6AqZVWWr%_00<F(+|0qW;UoNw;dp?!s#zgUPFplm
ze#Z}3Y??xf)C<-8%EBr2VFOH!o@VgMhliL&eEy>OJl^I+HO7b3Ek}<1agl#4aiUQ<
zn#trtr%s((#kp+#s}t&GH60lo9?lGkas^W`?r($3zER)ua~}N27ZZt*v}6fEWEdJx
zCTq8;{H)XviGc%uR{bzs?}}7;5V_Nz$5Uei2ac>bc65J@HAK@{1D&XxmEYdkyyPQw
z+8v%zAAJ1r#|`6gzkexUyw>1<V2SOeqkHc8E8D%6?*8?rX?nf<$A9U1=RZ!Xug{7*
zQ*YN(^zh%?!r?{hdp#caTjrIF6zU(;L)3RzB$gO|bx4L2I4pCpc5>pRq(_!*A;SHF
zQl=DkJvjnW#;o0CUL8g%FV;N424Xps#jhT{@{oGy%0q;WQj_tax4lg^SgXk^cb&&v
zwushyLC?>he-y2NTTt-Q`npyRMI*`c=dXNrA;R*QPe!6w9zBm~?XLOxc`4;{?ZUiz
z8&&(pb6mZ?eo6R1_0*rMhtzwKy<dg@Qy+^Nj49kUF5^hAPAXO5Ktx7O9krzk^5jv4
zO%%N-k4``%-wslhJ^tha|153fvxZMT_zg74D@wH_c~w62<X+{*J_<G#d@Pq62WUo7
zhobNFshU=|!Mq(~!I9(J!08KH5_JZmc#2>{jt)``6!tpEgTrT|l|(&-Vw55b5OHyt
zoj?-vU4Uj&FF<lALH<XE2eUdpkPhEY3^`?qK_ny?R#(GOE8QTRDl|s!ginq^&Oigg
zX?VOrf?Ux4hEg;Pg~noogA&U$9*t66YzPlfZcK>KOd^9@1bkBpVj2!lo?Bm^oK&Z=
zdXd5*ko^=DkU)gmhi9)N7YeR;Qhgm<ah}NZcZwex*$#w$xiBF^C@7)#>rlL|zI?s+
z>mUgkc4m)3g=UB?lhKtwceG_DoWb?eObmcB_LF&1SqKLY`EjP`aB5^0)}#YLH(cUg
zz5ywfN813RMN|-_hPY42t#3(YGZHtQ6mvdS_yNNG<LHo48ONeHO*jXW>@hjXlk@W{
z8>dhAzdD&4Plc(REWD*RzHss4#arhk2MrD>98JN4Abt%@Cg(6F#!j3d5nyC8(N6^@
z_OrP}Ke_qm`uoST94F^se`4}JPkJDLeGw)%?HLP5!lQRnJR&kcg+2)?9~cmCgXjGv
z`a3c_<oYo`JT^x92~YOynbW6J&|GpwrOuo_dnV)Y8+e3?Tjkiga?*2A+!CgEYAG5i
zh#L(hvrs=6gValawJJoSOH)&N8NckPA^{O@HVU$*`{MY={t^18AL<LD#arq77Hm|%
z+4ls5<a+gpdM|lx{zK2`W%x$$KOzOL6of4ZPa~5ctA&6N78t`1e<K10t4wBO7BFyS
z8JTA1k4blC(Va<wCs~N=4siIKLTh=^gvv~k{th8RT*kmzOuqnyD8I0t05`M&H<NTt
zz-A3mhE0k>VMF2q`b2V>#Zcx*BpiVwMIPsyj&a+Y1V1j5gc<lDnnmJFme***J2|&<
zO=OM?vqnx_LR^IX!RJ;`D&+*pGMMMl<ta%w$0<qT=Qy{CYK>=gENsrR3Use>C!W<&
z`EE!+jN`wB@$D3`I_r32&pMJ69vGP7Bv^yday~d><X6Sp#r0d^J>(<Lz)0YP$5=6-
ztS!Vr8AetX$`=+L&P&v4JA6q7NnVmSWKx_J=9GyO9W3O4nPHW295z2KI%~;M$V|#J
zxHelsvo60NGJ@zmM8)`=L$jVozYScV^O!Zhj<y(^Kv=(CWEuBQqF~wnS0EKzJi!X;
zpY_S*>*7<>OPPfe^9!kS0IBCx0$y-@>FU{u<=pUaeEGzQ(J}R(Uqc^A%&zD&1R3&=
z)D(!@Vju~kKtq!aejUh3?FVpWl<-lGgcD*|ijuwo8LofHsVt^Wqee%(qAyG+Y2-DO
zaipK64f-nIv?OhjUNN~ind#{+YNX^&+?@ZCj$U~vcmic4T?t?42c=e=BrDNycpT!0
z1UtwE3TqmmZ6LB^-RF~x5ya;4<Ml3zme74Bv;%^bm0A)b3K>udl?3BU#4DU`kmnUE
z$N=xYj^r7o?k5z0^u5lrld0Hwb`3os0chyAF`R(;1Ti2tiWu#a-$9AbV;JzByW#lp
z$OuC2ay;JOe=;~Ty|OYfcRW8rM8xtWilJfL2d1Y_<=g^oVk1EEq$ebI9VaC&TLw<<
zB2?p~M}<fBc}WTNltJ;6uGE$BC()HEM)WoU2xux+8w2Eph%e72m!LJJH;x%=s^7Vv
z_>s%_JNJX}bM7YxyEi;5Lm`gej5p&(;#d_6;p0Y*BZh^KTqtHpKrBrN2f1k&%ec{x
zZh_x^HZb)lby}%Ww75(dkH2n6BYFmO9KoK^M_S<V;u3btnLN+vi9=QyMRt!oJk!L8
zQ~CpciGN4G)rWrT3|@y0)^zw0*P)-~&H4dSa9Kl0bGT{L<_>`aH3*uKB`)r3ENF*?
z6Z<ghluQmBbp5?tAFt20TCEYX79j^@vm>t|$OtvYYtv~tC<O~R_`xjoawFNFN~iCf
z4_*)zl|Qf>kH3DB0stzLnfyL3g_9nn6NIUBim>OT{>EcE+3(pOTVc8EGpA^xsfnAN
z{Gmx|9wBGA_0ztF{%W-E-SDC=aqiLv7cKEhf-LbwbDdY&6igzxM7RM*G-U+x&M`So
zQ?MDho{@sj6O<&V4@B;=svHH`cUuZd>+*3u)=k<vM8&xZ{OIh_UiCen!sX$l7%G`=
zJqpjJa#8gAqI6BA@=P?Tak6Aj$x8~lK))C555NaFp}ZndU%-fFvcYgPI_N<Z%n|D0
z3B)NOBa0cUuQyFb7Z{7_u`w*$sZ6#%=}8My?em78znIUPRDxJyG5mVQa|;+jgQSr1
z!8RmgB&qiM=VxXoh9pLNjQrZTzi?B`r>I#+mo73*@c=I6<aZt(ME*q(594Z_Lj2O?
zJ03_7Q$C2U1?wiV(rP9vh6>V<V;=>AC0~&T*|86vU=jPk{qTh3>X~ufAY`ZopyBfJ
zOqD|!nNWtj%WAX5#AS{3L&b<grDV4Fxa6K{rD7CfmbzYZ!VF@f5_dY;G#qx{;R<E?
zo#}Kg=T3R`mC&*AYj~#-sazZw9Yy9%3=C6-_RK;MYxba^C2#+^t1sSm_0{o*pdgV{
zCUbK6>I-Y@64)LN&*x!h2crRr|L}(~v3!7X=ENFiJsm1W5qFsJyaJY+#E$*LBV<G*
zvmgO31BHpfA^%q{oZiTdU^<}eoPwi-p&CxE#b7jXD$EStjG&{I7Qgu;v611aYgSjJ
zWckd@x&9QhuTIjJH%oN9FaB|eqx0`(G<i|<l%hNYiAPexE%qlzWgc+Tf9jVBcYKVx
zIp>hz8%Rp;V2v>fus>uT;Ul8C?1>MoaO+NRt;>@!0SqC347ZG79*%*FMD``dR&dZP
zzJ{wDX8OQPr&v|6Bn|_`97-^V^gfl6%V;k?$)XF8oFMc~=trIg8{JRFP+tc5`-Zb>
z@S0F)>tj%;?8mmCl_!S6Mp|6BA&r^L`|3C&;_>7q!O|*j$x+bl%nY@+48Om=F`#Un
zO?^*x_EIXVZ6kQ+%B%N%dFDw?h_41(d(TU52n4ot=IdF#MINrJhlW|#fUjvj{C<RG
zk7qHB<KCi2zYKgBx#^}b6CQs5xfkhU*Jt#Vzgk_mq_fu@8_KT6CT|(nA>W;M;&b2g
zUA!JRci5syhBPa9!*IX-fVhOZIAK*lr~te(^c+P?04^8y^OWcjK-20M9((MuU^o&y
zz5=W7KSelbe|BIXxRgQ^jKxAM!hR$S@2S@Y0#3V+1_Gbvl0aZ?m6F^8rwj~M$yjW3
z@j;TR<8m3pMe!8|PRA<`W4I5}@T2nEg%Q{9GSQdCp7&xncniAYTB2MhcGly-2CgWm
z22vp04eF~8tgJv)TyF$Hm9n~ot(I6H$6=FKaX3r}kE>UZxnJMNVz4LtLWBY0KE4bi
zf|H%s_lYa#-{CnqhTL-uTr}*YG7X2uahoO++Nfu|zdy6=`Sw_JWOagad~t=x!^!dG
z*AbqxeC&^ekC;a*W_;|*dDIX5J=HfJ!^axRpTHX<7)-|)1B2wlpws~crJFsCbM_-k
zEYi$<k2wEiy%>EFYI*)EwCK9N+rV2=yHR3UdNviY$qDN!Z!W9GK}nLb2U0U2>&Wpw
z6q&@;jkpNQVXY;<rXW5C8Rd;x6c1gMg!q9OdGMAYR0{+rmMB>+(%<Tab5!JCYH&DO
zTn?x|Nv^Eku5Voe0}L%Dr>Cc;`xl4US-PmKjSY3??9SaA8>yl6HRsIEg$qhuxX>}r
zU6Xnvk*K#Wq~;PRJ3W`k3Kp4mzTykX`BZ8lwQ$QcbVW}ghbC?%P?f4iYpMCwOhgpx
zk%8TtW@kMoFA^)Tv`7k&DHQI+vknh0@*L{oN$=S++dF5^B1PX(z~0I|oqHDwcf8eq
z!>wv0I5db<S_Cu)2K-<UvOB+ZG%z(47*Q*-i(4QD*#ZAs)UDSW<FonbNYuG6_jcek
z08Kd!O&KND=vHQ@N#xsq&o6jDRZ<5`Bs#{^(JKgT0sWx05}YTC&vgXOiktfeYfxs0
zp~oRsyn|Q7uaqA*x)H{s3%L$3vlcKUs@w~&J&)ZPJbnJ!7arZd>kV&s!wVi>l2o$@
z0uuz#f|*B#?|l~mWSQx3U}iWMe;1lP91)z8a88+*t!-cVEgVr|L%69*<{G4a<oN+?
zOk}&EjDeI>a$*ji9XN31UBbRjrBjnwZ-@*aRM>yk^PzjDrtX<}^Ep62lN(B<0+&8D
zeMYL?8AfTD^%WroTVh>|zL%r#o#-2+V)|LU*Iy33IP}NC*#<l<-+2a%ussIQiP6e1
zTwVUGn+aCNS8##wW(?5Nx<sd$kzW-Er;SLMYs?UM5QUI4E&ja3%b)O%6o$Qv(ZbyP
z-!Joztl+3+Ag_3UC{P6TAqG5O413_>JgbXtl##}Ha0NvNVi?Gr4BhzGB`KGZd-Tyq
zU-Y6Eyx`H@-ACd1)9K|!{BXT*+1%U&FHBHVQ(a6B5Ff1w@{PtOax8$HkOOM0)R+dc
zNaLHxpbLKRIkkR;SB*19D_!krcOV#syu5M#zvE!t5_&5%bJwx}-5P_+yE#m}$}cW1
zE}eplhVxs<KOeVwy99lqt%qkoQS)85^Y6^a@YvX@^1f4#3}<ri=Rc>O$F6zh9lw_)
zt-GXl*MIwaIyau5r|hG=AIw|V2mhkPh^QmJJ}4$76^H0mpYcJr3ceQ{=zd_!SSvlX
zso+YHKh{`$qF4~c9*hP`12HqnT9cLLY{T0-wUR)kGLp_QloyhuIGtCI;+Pp5iNbG!
z<q`Yw;s}QjZpqR>fDzp7GfvYiI)V#}=cWW+rA!`CI<qr#*X5G~c=a4xpzLTUI5jsn
zFgH4SerXYJAXHqT(9l^7Dg^fX)HJn1dwl=^$kjgBV>tBQ100?`a$^ePeo69olXEmV
zb}kkqvS}ippN_<G$Hv1aW@pv46O*F7n91iSr_Y?hvkR0#Ej$@_1G@87M+T}L>Q0|q
z29h+gEH6gU896tU+YM3@R*f7WsDWtVPKiv0EKrAJp^QR#BzO%~4esaybQ$BR=LWKk
zo8Amdd2D>cyD@&u@d85Yz{`1a$nhlB4P{2hLL^0C3J`6*IVaHCY4HmJcpEo8-ED9C
z%2(zF2eIqHPz?^w;U1YuL89^SlyqdlD3COlO2g6l(y2K@2k}xxekN-d9=1r02~jm?
zR7|)n=ie~j?zX~%@b9|Yj3qe%+~c0UDPnKkZSRpbJ}O;)sC(Q`>t=U5#HxOzyB&rb
zTJLTru$fGBxBH#`u|9Z(ds<b<I?lH0JF7p_-PV0Eb*8)R>AOk&V0YVlq>ZnytRLte
z_tVc`ceg`*FVREY?Qq|s>a`*BtGc;+ykGjizR^5rRkpU<x#Oj|+)a&oJ9lBvvKuw)
zlC{;TnysUUa_hP4T4ud$Z@1e``|Q%vChbkP`C_S2d(O7GZbyan#kIv#(xiKXb+@lV
z_xzpPR&LKK=IvaqVYhS5MpJH|tCSk`oNcvp+&9;5G^#t5_Tt@E%dT*IV`F7;`Q#ZV
zuTbvzGj6}@HaVMfZaepkbG_H-JsM$F4W{pa#Ojs4t-fu7UUN96mHOuRy@_*m=g0+2
z?h=~Z=&SL2iNCGB4$cfF*F9gW9MhkJ5p2<_P9b#L>AlU}Y{=shpUrOn<}-R<bOf#1
z|3kmIZ+IdJre4IkZV@o;J>4_kVEq}-RrrSM@8n4>o?YI#NHChsc8zDXov~=L)jWLr
z9OEW}VVyQM?PdJj_sy~0;8R6>uduz?cQ@x-w5oL5Z}e?I1Q$tce-dTY8rvs%;x&3W
ze)!zEzGpspj?}$JdpS$%r{8w&zq#%kXX6`3jn(KVAE04>Dp|mu{ZEg8Fht+!#aA}U
z8j_@eqH`q;A6bAR6f42p1N!doo9vq+XLL%X5f|{{R)g3)h|E%>YD^u&f}X>hZc<H=
z#eYW4k`wGW+5G3RcTx&mEvhB8OoYxUwW3zl8tT>!6oqHhS#=e4r_ZTtNC<OYT~ODl
z>(veFMs*Wb>RZ&U>Z1B4_08%9Sio;1AKUHflDb3PsqRvD6Ic2Y^-^_@x>vnS-KV}q
zy<FX|OjT4RRi>QirrJ{5WF)(+c2rf>s437;P4$3kDO<HwN9~fUY@Z5G58|Ept<)R%
zcJ)f^rr)8yQ@u*PTD?X+tX`{LM`i9uaHIS#_1)@?R3vzldb9do^%nJ3vYfqLy+eJU
z`hN9J^)B@T>fOX4{U9vp53BcJ-FcsSzxomNqw2@h2h@+_3H?F!lT<VKY4tPee_}8H
zUoas*uRf$cjGF2f)kp9m`epSi>Q|-el=^k`8|tI#G4;6mP4!#qW9sATx78=qC)KCa
z@2KC!YV`Z+57Zy3PvZspS@k)hoc>t-iTYFZXX**{r22F9dG#0SFV$bEFQ~s(f200Z
z{T*3Q{vNCL|55*_zNr2Qf4DEHe^&p3Ecaz%;l8TAhIR7a)W56$pmOLH^_1=tZ2}r~
za>h$ud#nOMGP#jwj!bzm9oGqbY?C@gT-5+o8M1m%59wh|(5W6HeaN`Z=?Oilr}Q+o
ztywa_9oKVuUN7hqx}X>J5_Yna`jlSLt9nhZ>kWNcpV4RaRr+duPG6(1)#vpEeVx9Z
z%yBpBoAk~47JaL}NI2#<>lctG`8NF`eY?J-@6dPZyY$`UO@4`fslG?wt6!$?)8C?B
zuJ6~TF6xplYfEqHExoNP`m)~9RbA6{-Ox?_fNp79w{=JF>OH-$5A=ij75ZECx9M-!
zuhb9e@6g|=U!`BIU!xz^uhp;9uO~P28}xVS@78bB-=p88->kn^zeT@QzfHegze9hY
z{(k*V{Vx3j`rZ0}=pWQSq<>hyN55CUPrqOPi2hOiWBLR7$MsL>59*)PKc#<K{|p)N
zewJL%Kc|0Qe@K6rx?;bmKSJT4U)H~(e^vjQepLUu{tf+6{g{57>aD+}Kc+vfe_MY-
ze^P%+|Bn7${d@ZN^&gNa`qTO|`m_3T`j5!3_b2*K^`Ge{^ppC}_2>0p=)cr|rN5y6
zTK|pyTm5(Xf9t>3|3D7Df7D;p|D^w~{*wM@{V)1o^_TTm^jG!Q^w;&j>3`S%q5o4~
zAx~c)f&yG4T3BiZQH}?vBr32`49`QIUW_{lPd^FVDJtWkZd2IWFICN&*@kc#+a@&B
z+zOW)Rft@{u58txYqbZfmTec>+h*NwJ<u_$c4Vt%nQg1(9Q*%Sz46UT%i3)07mBUM
zo^7>!m9k}4gSASj)hJdQTm3foX<3D4#VYgFq(!G*X&;2kW~F*iYsk|lx@{_Tn|ElL
zHD9f=Z?z12yV0y{9{9_a^`O-XTjedQP_?$q(m`me(b%fet9jsUb?mmkUD;_jb^@Kc
z-K;Vcp;EQcDQ_|qma)~TRLfS`yIt9}0;{JATdhW?8F21ZZIok;QX9^|E|jfiwQ*qZ
zfW?Eh73|bY+h(h6l~a3WyR=<1>xEi_2XC}0^)2sSqulY=8||{S8Q-hGJJidJX?f3T
z?Rblgw(T#~n$=1<P^?rd^5@@bRL%O9r&-ze+m&{!u^*5bt2fG)w`R3Xf72{it#-V=
zSt^tn(2@*`Sq;g)eNZblszJNdvaEX3tVZpoS+WXUHYwE|yG{6@-mz%+*jA-oHH-d6
z`M|a;!)|wqMXSYV7As~wz~EX{Ix^bZfI!)fbua4f_U2^2(B7-Gfso+gR-n<e>UPJr
zLOe2OijDnpZ<?PzV$>@2cCpfqb*IWMZ8HWfU$JHGT2be_(6WT9vV06nW!K+n?loFF
z20YtlwXv5F7&fbg8W3yMw*ZG?wPV>k2cFCOjDZVP?j>O^>Aichd*;ZYp=Tc|*v!F>
zb@<NiE5^GGHyM^<18}NV>N{4sQt#c40p0EtjqZp9dhPt~@nDlTwpy0m?hW4If!<T~
zz_!}4qer$2TjAcV3YB`u?XF-}+y0ulUn<vq+wEF)&0DhV6;H8UG7cIYCe!ln1B>DA
zL(8^NZZ(=rM~rn;+9@;`T^Y*Y;llE7Rx72Qmd7mDgUn5_Q`)guJe^vx+UmWeyXP~T
z&8lVW0okl;1K@5oDrFy!+1U@2Ta{w5ShajiN7D*zHaac$Dg5o0RjoDxEaG;B#i@69
ze0x@<*zmWkI{$-BbIYO+3vhED5gf+C*|H+tx7e-JtcK49Fn5ALL%GRt+I|5zZhl~H
zHySJ@S^9KXE?3&Uhj#apz&NjBb()QOp;T#=s#f^Op<tPNmnw~p?JZZfwxUntq(ZY9
zJF+JuUv70+Z2rrQMy+ZZMT^HQ9Rf^u*Jrmav(|fdXUDLc;Iz$yP}$mLnYF<oA-mD3
zmmQ4c-R0el63d=93S71~D`nQbuVodjs^6+LS^A;wNB{&L{=(Y~1^Bsc?b*?`#WS$Z
zogvi^Jm6=8c@Np(8p{S>S$=`d(zf@&sy0C?2ZArUfVO8=S)E3yRM@T9W|ZHW$s@N)
zW~&@#uUxT90x{CUtXca(e%&5qiv<Jn_Jds8o3-AkyL(2ZvA>Oo6_kmrRx5TpRP2Cq
zphTb*#H~8`jN!1Vjb@+>+A9IOfz3vXxdJa$EwkS26#a66eGsv?E3GyNwb-fdgzXA=
z^q>d^ZwG)i6MSZe4_8&88Q9x4+cuzTFxaI=rS7k>UOTnOK>_ixSgD&J>}aFet~lsh
zUf021ymLEZ?Kf!*inr~mpI5wGD#rL>y@QkrrD~^`0Otb8yO#6@`nUDgR&Z;p3tG`e
zx!%~}iR^l1r;_f@+cOS^wybuc*^pHh-lLJ+&@AlvZFAFXRs5yx7J{+SC80jRyk+(~
zNTkknJYTiZ0%J3TZL{H9TV8JN`=R&`Hoypt&Vvu~)-0F8Zm=i|rqHffL7@X8;@S~+
zNq|KvR^2PKGXUIGEWq4bYn1mROu!+<@O12Aq}hV1mD+{vPQ4v~0y_}vhwfC0W$w_i
zke1uq;lr&$Q4k*#CbZWqT3Z$7xn=A%>9=P4t@>`IW%{-RG7aauu;pix%2uNXJ?>t>
zuA5DeK)Z*1d;6iM7i5?bvfBml0qny;0~idpx2>90v030p@F?%}G!^uNXIN;y2Re<G
z8QX+<GK*!t%vv+hwqPXSGy+91n;h}7x9hdq_JOxjD;Eu+Qq|T$K%lb34a0Va*=aT)
z@iy;!I5#!RYImB$-N`?C|1OP*o23#stO8mp$ixKL@7RsacEBtP^)st6b8{0O0XEEe
zDZ{M7EmTZqT8>6pRjq>_AO?YTItDDFhg*e8!xnUHwL&J$0{ld)vSXN?vfR@!1r1sI
z9&^tI<<}a;%dAEN<S)y`%kM$RfgV_c)&VrOu?4MVx}D!bF;VOQqYdzrEEgD}kYFIN
z21Ds`S$4^+_BLw}$cO_s@@m4nm73hW8W7SY1T9qRwA)o{vtn-><pN`0D1()S^C~wW
zU(k1;Fba0Aw4wct61c%|5L1hGf}o%@mcQI6L5JlB)EF(d%+2<x?lnCq>X9ga`M~5|
zLYCPAkyKh`K(i&hSg1$63!BNq%|m7*<UpL$vjbGlk}7Og5=U2!ypSP)RkX`No_MEa
z?pSpQ6pgGPa9MUZD}hjVtFRU6LMxBAdjxdN14w42DTu(g)nfg5(UmoOT*FZk0Ct4;
zD{O<`!3^7t_GPnWFc?C1{FQbG(i(Pu3h<|vaoMWxK>mG~8=xY6*$#Fg^|I~Xu@2xZ
z!aHyT5M!pc6+N<D*fC(&WEFUYV0)_vn{A^8`L4Gc23Qt=vwi%w+Agy%AngHb_-mC1
z;qd*SORLo|Slohj4OxnX%eJT9ta<A8>2SRRlnR$y+4l)kunM)RZdzrdX~IJ^;1sNu
z%y-iYH@D4Vt5OnF-rt04<&wfCYu6HXF$}+dz~f6-e)#xptL$$cw72O21Xz$^7NjI>
zL<^n)YEtHe-Kau|w?ZukH4FAJWK$3qd}_6_AGQIQ(l(4|r5-`7*{!gMg<~;n=v%9@
z51qHn9kUtY=m7%+pBQl%fG)qz4&w^pu63$#H*Hp9gIfyL2a~{Bc_D(xLJ);^nDJ_X
zK<W6vVDcH-a-d_|oqFBe_V1b|B+0j1k@gP4_w3epdvM+(fWE!$TFFiv@=S<;kWN@c
z*g^jR3(eY3yFYN4ObC?G5itazxPnv!+IP6)*{mLTWzIYey8?e=mf8`sgQSG8C$gDW
z1WB(A?epz+tjoe6I@(>opqqBXXF=LqLLRskv<iIY=k3g0Q+^<W0r#h1``QQ1#!ASg
zYQk>_WAgM~KyYHq>eT!@jTUzbf`@7Xf~_9!-sOdZaJI0%@G=N`P21DlZU!Id0Qn^o
zwnf%q&GKI60gm!{%zLVbS$ibDP&|0{v3e=<takNM!RkEc;mghE=%M`VW6g5*S-m#F
ziq-bByKPylt!H;(n?uj)!iJmykz2=}_e`OQ0P^g6I2`1_v#vt+Zg{Ptd0>Dsil%J^
zgmG+?Wr-C)*FsR>Hry4n1sMwpSM010(GK(ow~H-1)e?MP|CR~I!U{nIg!h9hj~^aE
z+M|!qWmqMb;)fBw%OLR<ge=mivZ%Y)Bzo9Da2oPS-HU9!odC|jHQ*AsDFO1-UZc7R
zXu%;B%{Fv}V}b2PtBz!jrUE@gX`96osG(YD!W8-I6_JNLNT(ttH}~MHyHb`TdLuCd
zgQW)Cw^ghjc=js$Ubuut$i>qbG<N(u<`zN<1J&9=eyV%x7Bu?7?aFq?&;0@O2%YdE
z<-&p0u0-Ln7z`+0t5LOLUBXx>S_h4K*#qmG-V{;7J}3a?*j5T#U_U#(S9uV4w+oF;
z)HlN22%pm41{oCuIoV-n-C7WEgftL*7fl8oHri%1Qzf$wauMBzDOdnjeA6%Vy<vx7
zRW{-I5I8*L?P`ElkQg{R8P|P3-_A~Dt7f80VU@!nvw>*A=z1^1`!SwiovL*ZX>qB;
zUZ4PCDWWQA`)yd_(zb|3tr852WqC!T;O`W{e;rS!X?r_1Uk7HZ?l&u~V!arW$>Skm
zje|(%yiLn&`iq^-O&A}SlNLrTAUXwy^obw@Zxn*XvTR6l2|O(00#Ytpg2@kR@M{O&
zJ@Y{e6ba+hGQd~@r$GnTLyESerAE7rGzlAInVm3#O`%?ZFm72M*hC+_BAD8H6^J9^
JOba38zW{E)cm@Cf

literal 0
HcmV?d00001

diff --git a/docs/deps/font-awesome-6.5.2/webfonts/fa-brands-400.woff2 b/docs/deps/font-awesome-6.5.2/webfonts/fa-brands-400.woff2
new file mode 100644
index 0000000000000000000000000000000000000000..5d28021697ff1f32507b1bcbcbf9e6a41d0ac99f
GIT binary patch
literal 117852
zcmV)zK#{+9Pew8T0RR910nA(g3IG5A0~loh0n85r1qA>A00000000000000000000
z00001HUcCBAO>IqkZb^^I?9XQILnZ51&AF7ASE)4aqNK9;5+~T)YhK|WkgR}Egk?>
zRaK7(!QHF&0}y`t<u||k!=L{0w}1TWKmYs7z}OuS%XVDPH~jxMmfrWX8zQuYDYL92
z5ORuog^Z8|l2d}?D*;`?E&nClG7m4>d$AQJqRvFji+m?Wk}G8j4<MaiFY6++AWxFJ
zA9GNXo&f*UJAKbp`mB*BR!Ff598iHaU=@(;BK|R`fcW>Ih_EZKOU_U4%&)Igpb}Kc
zmZee|y4$v7OWo|UY$@F#C+X}>hLQ`M+4KSq-Q}U4^$=%?y+G_G_#^DcIBfqszprNZ
zoa@i@i@*QhtMdQ8y{fLR?rO0a?;dkzhM57MK`d!tFbyO@CNvTQ5{NDk0*xhPW3y}^
z8+2l_yTpl5<%c<6{(WXfBgrx*hU9XSHtxM8t4Zt!#4B3Sjy@u+0ANM51c3G@oLWC`
zG&2IUz_P$7OL82tY|C=eq)n6ElwkL=O?zFSEMqT6#QncV&_km1{`pnvcU9e6b?E^&
z&rJ7B_uy{7#wD%5a@LkfGQ`4I0V%+;6Lz8yv2zGF$^Q;9kN!ec`+d8MT>uMUQ940_
zAVorr5+PREmMuBej^vj5rCeN6ntiqEnlIOS*Pl!7`?uaCp67x6TK8cUXJsP#Pc=4H
zW6!jKD`%Yybiyu-#>PeuYbRF!_59s6FcJiiv(g;#BqoUyM8Nak+~=KSw*dG`H2J`8
z@%XY0OyEN%Co{{+*SHE@qiZzz-<PHJ?Fo=yD2e|^<OsQL)@Zp^tI_K|=RRND_dLwz
zc|<NeB6H!9iG@c33y%aAo&Y@(S+vLmSe5`;Z6J%?!(!LB60JZs`x~ofv<E=5js(8&
z0BAOm<Ool2M1UNTZ1#dxWgx4*C}B2aD_QD`vaV6pHA*bM&0;sJ-R!}tTCl2m<YG1Z
z-E3A;ug1nugS7pzHE|&vnBOX6g7?fRJ}jk4iYl_S?Y_4yUkCx5Se87MaM~kuP0|1z
z*s|oA$g;d_d%5<{f_X#0*s?Sl*(Bz^zq{X>PmrRBuw+vvlW!7EthV<AX}}IRhV`ys
zG}2uQg1l^&^S7R^JzlY9g%bM@0LvezUfg*5c6`b2Sx#?(LafzSw;ZFleh=)jFZrD1
zN{S!;PHX8sV=b9|3>2{CK+Vf%^jSHwpxrtFY|B5<3Qb%CBb(Rdd8*{Yhz-XM?IF?S
zF2|DIvTKxCqK&!<bb=xfd`SruC{_eT|F1-)0to-F;C~eSzoP%mYp7pH;|OgumWP%9
zD}nndivFu#)6S(f>-5v;EE`UB(a!tdO=Pnsi~4wLqW>`{wLaAPDW)X`9ZF;^?5E8Z
zeMP=F`QJJmvz;|ACm0kMl=ii%)S%MFPYh=2wWI%T6S?<?^4q!ef5U%Tpx2<Hj;SXy
z#<hmb!<FSLEfz7E*eBbh`AQTXk1wNfj^h6;^k?RA>NM!f&2ypMfim}g9tUHoA{h%*
zDEhy;T6w&YH-^q{?R*8f5=An7(zcx<qip^XZ6YOIp`3HvRxKG_Vg46Y=(`y!EZh&a
z)qw&f+BuLZ*j%uw%t!1Vmd-sf+~-jxQl&(p1<DM}pmELy4=%J{H#IV`t{atQrCf;`
zx#9wgHamhrMjjbAuvKEgfA0^?k0rXjNeqe<kn9^7`go{;)s0cYeVkRAQ-gM<j=no~
zw9ufsuYz1Jty6(!!+#l+^dWsa^`}M08}G-1E=8`mRH^++fd%s98!ohU2Lo%=%L<17
z9>+HN3y!;A`gIk4MO?t&jUL+m*Wwa!voP;JZBiV=S)CX=<&TUV`p`aFZ$n}}Ewo7O
zeBEqa_r5=!t*3u=wHPSJt=QrsO8(pSQ>a{<PNda77im(YQxQ`PkuvQp2lfy<I*ppg
zqR1=zt~36a<7$|0by5fZ7o-ab>1RnfcRZy926dQp^Sb-Z!T;#yR`MBxJ(LZ<Eni7w
z^)Lo#(AnmiI72)y7V4vabIzOfp<`~ug2G(V1dAi^*KgGk>k7CI9Vy3*f-c5f*t_F^
z*t`qFF7XySK<V$DD?xbBc|8{T<hnq;TZfMB))fAt7wy?mEY-(|D?x0%UsMUw6>PXU
z`55<8y9EM&)+Y7N0rA4jUv$N>*j`g{$2n}XTl`2ZHZS-U^u5MX2~sSTz#7NkPd23v
zF}!R6NY_rr7x_dlc7^YWpSz@fopl{hn?B6?$oQ)Y#$pEq;g##1`{VbUt+t>ITsSVd
zUhMQA!T=x`0IUFzZ9fUOfc2~-%?4J83?cvj@CApx2MBr_1P}&qAv0u$yigk2KxgOz
zU7;IvhaS)qdO>gK1AU<%^oId35C*|u7y?6K7z~FIFcL<=Xc&{TaL%SVo8@etvt`a@
zT9}rgsagiDw$?;zsZG^pI{&*Kx+}RmxnFsNr;MkLXO(A-XJcC7v_Wb6({AX|x=qik
z7u3t^mGyRdSADQPPM_-S>Fw>E?49df>|Nu1=5=BM=E6K!0?T1@Y=b?pH}=5+I2ecE
zFr0vsa4OEjrMME;;CkGRC-6Mp#TWP)f1rWC$x0EVP%;&wB2<zpP(A8EovAMkpg}Z&
zCev(MOiO7Qt)exwo%YaP+D}L6BweT1^qw?s$HRF%J9rw;<ORHfSMvtm%7^(JU*xNN
zop10>zRM5!Eq`DSf8!tglbL_<e;FcUWQxozv&!tUu&ghe$d<CTd?wSRE`J$`Mn0pk
zQNpNfEH>5~Ta2B?VdI!_-neeuH69pfn8t6P@WuNo`l|TW`EL8}`rev_&GzP4bDBBJ
zoM$dFSDA;*Bj#E2y7|O>ZaPi3zr4SSf4zUZ|F-|J-|7Dp2mnB4$O?I&5R`+?&;`0e
zH|P#MpeOXQ@ZXr`+DL82)f7q_l(skRx*nyc>Us72dRe^^{i3n@<O7rb(yP3WZ!cS=
zC-%X<I0%Q}P#ld8oQkvPi`{Bmj~nqQp2gev5I^E~^x|)_P&ma<EES@{RFcY2UFtxc
zs4MlSK{SpWG?f<95?V&fX$@_oU9^|>(Lp*%SLqqOBaPc}FCN7cc?!?uIlPEh@jBkb
z+xaM8<STrgZ}3gN%@6r8e_$u;{DXfov%&wRMTW^ZnNDVv*<}t{pZ>Pzk-Ge7L>{<x
zsF2y-9P_7LXs$31m`BVre^Wk~ZhtX<#ot#3w7`eJo4|{}Gx)G?Gv&^dAyaCmq>NuP
zx-&X6Ue0(iL*4Xa(ns09*@xLH+LP>|wv)CKwj;J|s;=%)m#U4`8fr<kgql~)tqL_F
z-QRSa?gs#XAn{pv#Cx$*tP}l?e%W3})Bq5<0YrKLVHY+4p^9XYBoc%W5h7HC2&=Ft
zzZ66HqI^_dD$kUs0Lo3}s&YxW2%v0NHY*#IrOFfq4;@<^Qyg6!RqS8vSL{o%E5$Ap
zTNayBY*uVqY*egXELkjGEEb=R55)W8z47jNXS_Y$7H^F=$D87f@rHO^ye3{vyeeK9
zFN>GPi{nM{!gvAkoOm|z<akm%J{}j3B_17jh}*<1;^y_a_4la1TYnayzCwM``hxX&
z>r?BK>!a&K>iz3|Yt7pCwQp-5)ZVMzRJ)<JT5U{ibgfVIiR!u41FL&fcdhPJ-J!a5
zb+ziM)#a*-R%cabR3}u&SKh0<TREt*cV&&rij{>c^9nH4*L3*i<L~ot40ndx!^Ppk
zaHZ?Rgbl;GWl2~)Ec{7venG;igabcCe)INqnGXZ@?$grPe);IbtX5xx<GgL%tkL>h
z&*tMf-gecei~kdLU;EnK_V|4x=%TA`y6d5@e)=0=pg{&3VyIz;8)2kTMjK<SamJfq
zqDdy3VybDTn_;F|W;@vNPIskGL(fozeqm&|M;&Sl%dqkj#=f5zFdh?6gsV)$baclY
zEW%mD#TUn>=!<Q(LxZsGp~2WL9)iYB+#W-*10NcO9S;r1PKQQd=R+g0%b`)&_0VYS
zc4!QCKQtD592$o`4~@rOhbCa}Lld!&PO>lg&}8g)XbSc}G!+LNnuY@pO~*lpX5ipM
zGjYhFSvd4J&t~#Gb986&dUFh5^7`1f8}L_u^(&gZ5#wSn;5mBG=sCw68vW;(hsLlu
z=A|)ej`?V;GROQh)}7D-G&Z2I5f-Fz5RKz)zC+_A8Yg2V=KjZXtU}w{bF51H(sQgv
z`_^-;PWvZwtU*WbIo70O(K*(lW7Rp<rsI-1)}iCFIo74)>Itkz=Nvlc!TNOWO%vLX
z&fDp{6C2U_BAqYcbQfifvX0Fuhfog3mXy<Zgl#EjQqIP0U%43N64>l3m!@0>hf%rt
zWscn_x0_>k%6&%IgYq!S!*SPF9!q&V)}rQ4+Z;V;?lMAmn#a&Q7H?7Wbe`h?n&*yi
zAk9l?UWTu}=DRdMz){qkyUlSVss9{Dk*3TsfHdu^zj_*_1$hETlNKW_j$=q0&>US!
zo6d0@X~zk|J*1sTyWn`zu7v%`cO&hIlSq4$_Q7eSeR&U^PTG&OKh7W>LOK#>k&Y%E
zg9}K<(*!OeokBVT7n9DXIj$gGJb^1omy#~SRirEFR_+?o)udZ-E$M#JL%4(VIO$2;
zLwc3;I_@XEP5KBAk-jE<i>F9Gl77Ooq$cTCJWu+I^cMz_yO6u$RdO$K1+SAMxxky`
zKIB1on>>d+2M3eqA<v7C$P1xe`h>hFc}aXqUX8puz9Mf)duT3sYw|W|BX39E4ISh?
z$a~^P^4>JU&*a0&N3MFi$VZcpMT>kq`BeNyK9?uZg?t|QeEdtkfF{t5d?EP~{7=4&
zb{R&JZy?`D=t{nYd>f%V`F7f6=t;hVd?%q7`EK(4gev)A8WDPvpC`ZgCG=h756GVq
z`jfvPe@PfhZt$EioYv+e!U$SB(>g$=J!&0H>j=VhT1U}3nlKNo<7k~gn2*-U{9+9H
zumSd5uor@Iuor{960|zltHE9aS`X~?U~dF%0QP3Ew}CbWdk5Hgpv}SF1NKo+6YLXU
zp8)Lx_Gz%sfc6FZ95hG!gMEGuAAx;g0v!PMC9to64g~uKO`t=-z6JIZ(4k;Ir(NnO
zuwR1x26Qyo@4)^7Iv(tAG)Jd_{e2EMfVC6obg(7Zzd>h!?a~Mhf(yXSI&<427lNyS
zE&w+GE(Ki<ZUJyhfUW~K!gF*xxUmTogBu5DKzD%Kg63!*xNYa?Zg4xz(LLarb967b
zcPG$&;JyL(E$Du5-x0>x`Fn7GgC2yk3T5)Ow5VKeo5LWKW)4G8Hs&w@<vMei56VmC
z=zS<}n4=G%ymgK~gz~OA`UuK-bM!Hk_s-ELP(C(CpF;WE9DN4mD|7TYl&{ax7f}8=
zM_)qe=jbaa|Cyt&q1`t}-#~kCj=qKVT66RrwAY=Z@1cGD1o{EmFGBkz(2vl5h34pI
zXn!(+egVG{cmw(s{BATtzk@#({Bd8Ci~JcpM}L7odyXvl^Y>5={6*j|29@Bi1b;Qi
zgP#q4F6bZdcT<V}2mdhmN4_rA#y`h%0>HmLClL7eCI|xXpM(Drf*$Z+(=LMwbf%!Q
z1_U8=)`HHu5DY-)2AUHLL+6e;K^;0T%?VQIyfr77A39&o2^N6P4}Yv+LFDGWE`=Uu
z!ORmnSx-=*M#4f&L!O6uW(Ly9k;%-2d77mICd@}BM^clIHF9Gb`4Xm{*3$t~2`k|e
zW;`3u2G(x1TCMEvyYFr_Pi{7w&B?p(zPs7#ey3WTXz?VjNwqlXev!mAty&aC(RHg9
z#S=wQsJD2cDEgDQCe`AkyJr&Dq*|QlCV*hZ&V0cZx`|<ygrTX-nDLP%!^-f0Nz(e{
zMBbPl=xOAQY&@%km9(C&9Yt{*MNt&TQM7p4Tdnq{X>YaKo9g5^ilQi<A&#ObibZ!%
z4JFBtG?XMm8gutB^O>H|%^b{OFjP;CsfVGNG`VTyjkKN~c^N0t`fw6fMn(+1jFqsG
zjc4Qba8+gKWlZvHI;qN{FqA8+QfprE(g}Xi=N#OJ9&tVCbB>)8kz2RbPNDdXt69ZT
zN<CB$VL@C^UcT*f4trFQoxc@|zA?9bZsSV5#e6=We@0iIyI#TsmgsE=g=1|@tdtoS
zBNH2KVjXjfTX}9WZdoObwKikiNO^T`ab+TIrAeMmr)HFnOlpkD@{g|4b)w^{wCy8h
zd2Wmu)wv;6SxwEPDvO2hIGDglavKxR^^Znd8$c-bnub8En^Eiw%L*E;s5zbgO%Nb#
zwUuC$S;CWnQgzd5VN8hIG9+#`qgYDL!mt%-$MIq5IQ{@^;<>)$9NS!qdW~7UCV<(t
z@Y|i<W*E9Q>HCi3IDSevcPt^Kpp0?LB9`Yh>dfLb4=kHYzuoC=grRGb)OQ?&2tw<R
z!5rR?6iUz$LQqbPndDiTa4?pNbX<%p;8~t=i^n>y$_fsw{Tjz{rF2)z{E0C87<7BR
zF5I1k;K<s$u9U9htd_59Vdf0NMk5^DowY{WO(R&Z))(*&SfH2LI;xB(+~4Bd;saKV
zxIzA^vZ_pO?DmVbHWM#>$9c(<f^$N|mw$yvh-C}uy@a>c8${_J=gS2lobLt}j^n@Y
z7AHh_QrM@rxsbvm#Jcrf?Kj_h^Yv%)+pnA_2;sNh=Q|DpRA2v3_!)SF3_=h^vdW|;
z;g+5k3!`Gn&QnvEaaB$yd6uST3dj-cqp`MlbmZRQr6OU(l=uQ>F|50fP#8tiSjSr3
zm1lXDPb-TXV{zpt#P_AMJj)S2I5<5$IKcTo{bHxn0qAsgT7arF=Fi8RL8r4buMKV@
zWY1CrKZte^3bQ=p@d=)GzsdyK7%Jw!bFhGVP(Sl9;kFdwa5mrQ>}=kX%wQfmjytoZ
z5FRGHyZXnN!N{>1&Jcq2r*yDpgix4pZalv;sVZG;wqh#Q6qK*Y@+|*o(%eGrsP5jC
zYuh^*cHaN<I^TJXl*9es)&N>3aMtX)!bP@r0q<;IyR!E_IW7{0_1|hHiPnJWE6!kn
zP7w+xl`&;en5a&9yv1X6JI@VnN5op2SQn<Oq&h1#5xr*QIR5`s4zIl{KFM-`JUhA9
zYj<jxQ7VKG9Lvpn-6#TxqV5-0&V0A;I53y4x~jbq^6ca!%OR+5QXvFqlnUBvf~M6&
zRePi3_z1!J)9VYE!}p<Mgu*h9nBNB6;>1`8wkDns@jF(($tV?42y4zAH@JxKwuj<_
zy$OEmHSpz92#ZlFR{yhJtKF}%#eI-(|JO*TdL7;Cu8en!R&PtXeXF$`Y~cshmn-y-
z_hh%(lI+(~ul3}JZ>_lw?!$YUcpl+PZ@;!)Ydb&BR?D8K{mdHw?k`{l--}Xojh~1c
zi$^L_BQx^FY?fzvr6Ui;ip6#N$yH@B*0GM&e{=v`PYUPjhS*_$e|Gm~*PBwty4BLL
zlzUf(*LYGm4uJa;d&dBP9eB;n{R8&$|I&_IY>V65SO1*YUDp2$r?5a<xINHskn@Y-
z5Rt!QKn>TnFKi)%AjJCpKZe}6TD`uS3qmX|g@F6W!uL+aj`;+gqR&GJGOcJDp<u%W
z6>BfJiAkR2WyOoMu&-vv*OXOZMrLGkemYvTH9b(MWI*vu!UzV#vR4iV0BO_rVK6Lb
z<!}JL-%Md%uh%<`20)|Hne8mpd%gRBE%b7i!LXbT8tu-JOZ7VK#$Y;!Mx*ogE<23|
z%-#(q^j~m1s*Nro6h_*Z*qi7_^q?-clvYkuR-r436l`dQd#z?hKm6Q{y<Kd41j*p*
z93edyz@7mz_>l!W*uRO3F_c!jKj8v6j*#BVvG5yL@D6x~hZvQM%&;>q9g3&J_1VL@
z|L*-K!4i}*E`(Su1AqW#LI@787eerNzLN_f1f^`@hM~J)lnR}c)zJ)o24+a1y{PTX
znMk7_S?;~BcvxdcvBCjBoO87(+YI!4)AA4Tq`iXqHTuwMiA81@PU#R8bjT}DCX7-6
zeD#S-{FyNOi?UiiF-G<E1&m;UuAsYk%;+B})1(8jlsFZYQ$%L3FuG%VSiTJ1cg^m`
zUJjRa)Z5*t)qS0py7|5&37ol~CgDbV1Qt0Nq}^$3Z1kyviwVzKf?U}VBeY&(1WR-u
zy&5545zDcTHJXAiAI!<W4eKED;5tOJvz5Y-N67Ll*BQ@Ti=HS;jLY(gM!V>p<C7!-
zNRpG|JIlv*Iy(m&gQDJt_j<N$;CIGl`NWKho-oH{`NR`t8NdgRh9hf_?f8D*2r$Mm
z+IAfOK3u)?6J?2)gf)i{!t2%gpFiV1+GaX)EKUqJy|SuI@e6J7Sw?P1m=<Ye^glaF
z*>Butlu03k)&0XB6GBKv>Gm6UA3b_>=MH=*1PE6bXF>>zQYK&V3dtz7gb-)YTm9dk
z{K<G4chM2Tuw^1;*xf)J1^T_CPK$I(Kh_DZjcEYP&&%Nef?#9QBziV6>kpruoz1t+
z!2%kM&SJ6ihkGzA)6LBw8I{8UEa#z+dd{yu!7c8(K>G+mmKs)U$4KWCvnP))mhL&+
zHCL{fqa$<WigBfMT=(>uXHNHPzF*rvedd`{*L9?H!5kf#*~}arakMMmxN&fNe0;or
z^QJ4L>o{?k_0Ue-8R(ldj=`D>1w~q<fguoz%usrLTx@OuY;6|f>(56PXJ=<;2y4M!
z*h02Gw$bRoY_$x}9ElP>bGm8U4RETBl>|*@FTCGf1i^4oHqb(J{>}5*&8RMSJ~)$z
z;jLQ-9&{sTcgt1lotfAFTbHmvCq|77r<n^kR`Bab7ogBWmS0%CcX@A5oS**PJ&JrE
zoNL!!Xs0VYchv=OTp`{4>u}Z*T^OX7s`W^|ub(?U!OeD4xN@X)T>xhrY;`kpSfDXN
zLp4=K8lb(yeG)tz81n2s;L%xYRI&nSxm?=IG^Cs7kKAg0^U`lN8?@Y9XsQBA-Y+#l
zn+f$cg6bTA%9?X%tIaF4G?gFp+wLwxkc$}#lqGT`jPOQVYEXUzdcNcMzZ_YFr4ieW
zwYW3_!N^Zkm44IyXSmsCig}CsbHmL(;Jurx2>enis2tZ7(*2IZYaDaq-L{aPhl%~6
z_rsS4imtmj`qi4WS08_4l}5kj*3u)`wuSWm?8ANM_FiKvFSR+y)pe6Ro7!M`<~vRk
z^9o_^`PHH>V9i0_us@*Qn_A~T8bP+>w&0!8B+pIxMaoLY{ty13AIH$&_ii@`+;=Zu
z5@Prs*7*3x8_d=YbrQsX?E8Pb`p*^c+J5<C|0B%d2hd;<Owgui=X2$7-W8>4z|V6e
zQnl45mQR51w(6_jhix;SIFD_s23J>qd;Z0FY{y|;a^Y~w{piJP!?0q+=WB~gB9aU~
z-ju%B8xCWo;^A;_>7`%5=GJ6-`SNtKwF&QQ&Qv_ic6YP=<mYA<SBs*%wbd<(s}BY3
z_O2GFiw<#uT4W#x^$t^Aq=js^3MvdJ*fZ-a&(6-yJlmcDg?TpJuywKQ9BzqK@o&TL
z=&@vmP?aCPpDrtP%hP^C7PmMHmPfS3wF#L|CZFMhgVX)=jt$_sQaX=yEAdv)nx6jS
z@&cZYw)cn2uzBg|8Ba>b2JoKVtw8VW-%R%8QM%7uJ$5&5x|eX5efYucq04A9&}Rda
zuFG7C*yA65Q3oz3*nVoe)dak~bM>XknncF{u};7!Tn5(g>pSu!Zwv<M;nkgOe6fI7
zCy9<B?~(mmIE5cUUyO%P13f)5abZxZpCOYyb}3UK6CTVW`;plKf^9*YJfB}gu-dY`
zGTdbR^R_5qRBm3v(CV~x)0dWiQr!-lt%y+!GCA@A@g#QuqA-%jy?s7=?)ChW>b9q1
zA-P4U=Seq;T*i)j@T}}aj_Wjh;Er3XZ*C1{%~%kda}2<QC#A(GCSY+3+x|zMv6<Ea
z7(Mb6N^TKCDDHOc8h?1#b6B7hlT0K&B?<`{kbu-!V2{9`gFaI{$MA0MzmT^qV9q)?
zwA}L@hs!fC6(s<WF1*k?hAtV+(Y)~W;cvQtcfj`@C>KK$j>%++v3Qn~o_K5|gs|T6
zP7=Ro3r8t?!6=jPU5qlh`Xe}&j4~#KSj|I#5avP%me1<qoA7-Rrg)w$<MZ8?t`KAK
z<h<oddV;<FX<KXi>DRa8tQn(^oLKY6AGhP!c|;kL@ZFR#x%zt;!~pT?A0d;BQ6@aO
znk%e8ul|$53g*%ijGJfI>wkf_!}sQ`2QpPIU%J1gwZ2&gU;Ufx?9>&c^WOJ5Qo0_1
z{n3vG8<Zm(vHa1G!fT?)CBN_cJOJB~();nB2p8?||9<zm<Nm~t=ls%l!1tk{!fF{)
zmvxXHy^i%Aabim$T!QUyN2E!=-NwWfLfY?n4}615ux(2r{^pyVZR9uqjS$kdF>!z6
zH}uJS_Nny+yc-rM%YSVRS>sKR2U|0X99yjZ%cp(#uB&C_*aFn2(_t$?SYQ1jMD~KP
z2Cw)n!$_=uA3g@Zfyn4qcVrAp{B&bIQUN{5s!5s=<n$ss(oqo?<D$syCt05HxFUNH
z0PJLcDfbr7J4V&$IGkDq64<APJj*BM9dPDIUq(~}^{}NSK&q70(ii|>=1UW3wvXCv
z+pX6c``q5>Ts>%a2-Ir@cRlbt-**69N{MY}iUS5pKzgzsI217S`c-xM;MUC=w;c+z
zgD7b5-5zw~IO?P^29+cUcz`j+0N??Rb=_tZw+;@nA&`xYE@^}qJePsRxNT!_DaKn{
zVcS!YgE2UsY_+m_t;SEQs@Dg6eCfGqn%aOI)LUQRZCD_ILNq{k&_nckG)Irnw;&Yj
z1-{piA}yvSt^BQ>8l`zMm7c0;Q39B?>Do@Lt?gFIs+^_*J5pu~nJ>|~&QrrpYElB3
zyx;E!hNlZ!xIkvwF~s>a9Gm?LC4XDb_hP-ZiNW`y?R)p`-TPKx7WaK_G58amSesjW
zdj}8wZGdh6;cE`|f9Ux5xaw_fB`;%)ZL#J?Z)3jtzaUos7sQ)qGk`{;tX}i6kA3W8
zueo{^;PS~!PuaFz=g`5MTRQgquJV0Yed@!H`HaFLWwpZ>UwrZQwSHfSC-L3^{16-*
zy!=J&Y8eMX5WM)}zg^8vj$gkwDY7A6Jq_PHHed7w#RQyoyWK_zA&l_)0)7h?Xaju~
zLc_A+E65!oqQ>KD;<@ddS9B%H^ASCc=8dV!qB4~!i?P;5tHSqX_~;?v>(?GWymlSq
z>(?IcWQ=Z(DTWY0eb&jzi2_3D<;#>3P$vX1z0(9naq|wvK%SZ2edgo@<CBwTo;^9i
zKF~~146Sar`OW+L`?o2<cxMM=LT~S5M)4`7r<gK~5JH%vmn~3;P7tbi#e?;H)$gPV
zIm}_+Yo*U=f8%H}oxUIRdc7V%(l6k#$8Oy+#c(i$1s)Fe_nMyVcp~a;2SKCVs>9u)
zpTOpoD_7voI7vY79~@sEk1xYJl^SN__QqDHquMoYyNyN!Nirs8bYo^lMBkS#VF^og
z6QNM&gHISNA6r#sYPeCRGE-A(4X!kQSDVT-gCr&23$!xYOigao|Gj_zKBW&CJ)`vg
zpT7#ThYYOyuln;pf7N{p*h7Y2_2=;UhlhuhUc&eirH2o`=6@W%+QOGGdx^o(;n#f4
z;SsQx7`}w9S0Db5uX%tFA_%SRx~73zs6=QeppB9%o#a_Q41%C<0@BHBI;b}|I5PXG
zsbJ5OkuRl;l=LmjTm2O*?@p&vsBd>-B|J~4xLx<9xb%yblu;~w-&ex(tpBo_!SeqJ
zKG^K|GS(X#v6hlC@hWlGskHlL1bPvDF?uKZF7*2dRagl0fonfr#*;KjlQe7mt{$mq
zO6Vj7%vR%KT#O64$p3Bb7*Ux6fa5F?V}gw;unVWhw3ix_<dMqe4yXY)qNhz45G%FP
zBu(-p&!*XQGM!YDsw~Q4T#R$Jqhl5Ei2rUANPD9_SM{T|=QmpsAp|o^HJiR?+mylN
zYr&|!MgOfKu$|rQr>DKiFb1I1ViqF=0DureiN(GN8ja3snQ2tWIes`^+{pcQyWRHl
zjW$5L<iq%1gYK3u>cLjm7xmk9YBwWzy?2P}{O4(^{)5ipQ5?4Bt{D@?EQ?YAj2UB;
z5<&pe7qXxOHNBVBKUA*bMy~hvbiRQw>aITy{|erRnrOmQPRW-Zq0DuzbGEY0(t79C
z@f9+PY7)SG@W2D`Yf&WLPU*jS@ZiA%7eLmcNX{vJyNIH?1n}T1>lpi@5!BvtUJDw+
z$GHBJ+<w>j`T1LFK|}Z$*MEZZpQ>Z*i$+jG7Gmo^hF^zYMKQXHUWT4UA3@)O5KQtU
z&C)E-^1xIk%d;s!E=|%=KB}&Ha?$)+W&)F>BhK@M$jfzjKK9ODS(O#ns?LlTWs^Lc
zj!ZSu^$ulKPBXT$qGQF)sk*u<b1(n065d5=t&YL-_}jp?UC*}R^9ZYNU<@D{*_L7l
z#Ki<Gi*t(s9AV;L621_2z+D&jICmXw#}QX*^N7UtS`FhyqdN>E4{Ei*Wt1x6d6+cy
zIC9;(=hkD&;33#Px3TNPa|8ff*IwQ0lCr#Wr>tn=*j)e#_$W;!#)P=m{@$faySrop
zzeF39QnD3stEFd@IU6~*dfguRC*N~wway@pi4b@n90#~%DbE%%9&T(fAQ+Ab1?)QP
z`=TcGgi9zwE<y<K4BmvSd*yaW&<+}*3SC3D5gHPe)l)T9g_+V8%h=0l_3Xj?AU`-=
zgx@=#JmKo<`T6<zH=m!MpMT50LeY-r=jZ2tcJ~YJ+_`gS_22IP)ZHiD_+(CfOnd!1
z@E_q<5JMG0)eTh2{5?z^gX&4s7-iJ8#!8OEnlI|UnYQ82akpDcW?ypo#Oqa;UP)T*
zR+Ib;b8K<k>jCup)0?NK+1~Z*V?*KOAL}=dtIbU^n>{}o3@I?G<H<%N^xKC=x2w@n
z9J{Xml1*+mo7X1@A!M!pAG(g`a04BnC(!4hH=_5VZ$+pwW-#cEfx5o3D0O8nVVk9e
zr=R2))zT*0Ie=JXi6>0WB<EIY-Ewz$tRv1EnM04p(@X(w={q<bqa$ANil-(wsnIw3
zy*{bF^q2-UrRsHVS-f6XI@sFW>9$&a9Q&<ScdxSr7?N5$36uz>>-wtY*L+_!YY^8$
zukPBm>(nAoe0HF(H}hs40BQjBy6fk;bRBR$J{SyO*q&@Q@BOEpogF1yAwv~KLO{^n
zfLgsX8bPOC188lIJ&*b=8927IY~e+rka6Q)%YWVjZaE(3PR;vB{nuYn2Y`AU*RMM_
z99K#=eDL7GgE!881tAxq^*G|L;2}JM?|>hIUx7b>zrZe5I6-Kb>pYtV%3f|JW)d`4
zrMXE=wjA=egZ%c%9l1><YsyWM=MB{5#!7DwT;e84m**;OB4hDiqs>UgTASMp<R=}a
z+$3wd5g)0Wm{M&b&XXNoZDJ*gm$Zr0vM==QhkOjHw}aK~QD>y|V|T2_MdE9M%8d2M
zXcHIXsxoDvjnr<Ai>JBM%1nx~YUbwcV1D~}VNz6&Ivr4s@_cCdnCT?v8TTQA%w`&q
z<%Jnfr)I((6v46Zm=wn1l(GJ@GA7pP<m$r2I<GjYPJbttRr#bU3*!>?Wx1|+Ra|Ou
zE7iBvLO#j?QhHE06dY_6>jukd6Z6z03R!i0cPMi)$+KPjJAL>}9LEq60NR8a225K3
z;9`tv8)FLyp)HJo5~>MiloCaV1C)}05Fb;DeL@04DL4QaD?%y5L{mZm;}#_ZER0(W
zW9$Mzi(<evXi@+YLQF`!_dh?@`dOI#wqOkK{eb}EuYbX9ItxYVH%n>{ceXPd7`1w~
z{cVICz=*o81(*<QbN8O@aPWNq--myNC;r_`kodV?uV-OQtoGEUf>G`R_9gxf0Ju(E
z2f%jRuMHUGwg)xg0XVKJJwg9y?^=^Gi*|PUebt~|3J?;`?e75}B!KV3A2^g!>i7Wu
zANsyeNI)nB2QX2D(#E~#?JwUjp)G*Z`etGB{w5+{-URB3dW#st*ZSU$Wg0Y6ixA+B
zi%SA2r442WuI)JBx*Z>5-v=zu%p@55KkxfKVHT^sF&z#pMwiZ_H5d#i^&Co{a<%K)
z;7HjBg|uu;jzo*nmfh6DZDG~xb>h@41|K_<SpfgrZEl}=#MiT*UjHgAVHu~4lKg%u
zqC=5ZC>kRz__h?7!tjuuzZ#aO)#k>?j7DkSV$Ih6LD7ukn(x<i+|<7R9QO9Qga4lY
z++=4b41~z@u{k`@vGoGCc@#CZ3b}3DVc3FKdtR{_0YVs|wcp(Kk&2#bzbiy{`4pyU
zkt$Qbay9$#5B<;&{m>8n{U<;9$xoi2|KWM8egvA~IlLYnqc7|uXb?b^>8~m?nNFsI
zYMc39p{C7fpA80U+Lvc}m89ctu)|XwD=RhV{hXUfM+KKG8du}f*I@Y8|L`CF1I7SA
z|5F@>wjW%%c4O9TC>1ui&9*yj03h(=6o}<I;g=GM!LeMoF~$Ix7Ag!K3ixLTFc=J`
zb3zElm=f&!D!~A7E9th{HzWudMltSmwmGNNQ@(`H1Kd@<1cEW91Zuu=FaQaHG93Uy
zfY^EszX5Z!hY<Ap{Yb|;)^X?oSOkr?i3Z)0v+2n6O_{^5uU-bfw0fD8L4RjwYYRVp
zDQYy_)u-*@^S)B8X1k>#O5t$}VE(F0mwK}_^=r_3tes{1m%6GEdTy(k?{>R*ZyzCw
z(E0)+SRjSA(J6WXp<%A`EKL+Qk<unE##Lp?yo!s$jH}5sH(8pRL|K~UI?vM7Bs@~u
za1*JxD9pI3%w)>bB2Bv0C@SVpTjp5`bUvR0;Q8AD0KOI=2e@Sq0q`7v<1HHh=#T#B
zKlAd*zVrC;<M=E9JPz<I0Dv!i_q*Q(cq(fE0DKVu;M)r`0N?oz!1qiCJ`Vsdgs)ga
zdUz4;At7nCd+hr@cxM8X*&@$)TBN9nIU{x&7Ow((y>=%_Ez7dfq|@&0U%vFvgr{a+
z^!Vlmz&-nyVQ>HPciGBb`Ydz$U=KDnkMk#2%Y&!jKj4yvCQs67HmyoNf*EZJqtz0=
z=kNaR?;hL#I;_9&g)jW;-}{Fbyx;|oJ-zpP+jl<s<dgsKtv~$3Km2_tl+c&A4t@jv
z34V{<N609jm*p&a#hWS6PZTdPE0z|(i^2u?R`c0BpNrBs&BpqY0KVGyebel8*Ulb0
z*0Pb>jG48xJ3veZT}0Ei8KR+;VR)Y7a-^p3J0``*vrHiXKnhQ4Hwfd%vR#SHwk!(_
z!<6i4?QVCpwzk$EI8nQEdYE^crkQuTVWKsl55T1ojKz&c>>E1pHRWLxhH;}`_oVPW
zhjJ$fv~r~pdLHm34HTtPB3g!_6=Q@DPRIfNH_|0tvQ4fd_Yg8NVF4{>t76{6SN(n;
zpaG0*!)QW*C!l@Xw3RI6=Ab-u=+L3MV>?dm{gYSz=Kh~SXaCRowG<$&^`Z0S6*wA%
zjr~7sgh3ECpwkG0S8VuQ^TYSqP8vJ*`|q=zBysF}A+7Zb+P?pe0+xcX;cbv32C)vF
zf?wr-T+;<|2YG-zo4kZPPTod-l6;Vmio+Te<$%){<<~fl%fYg+GRCH5GEE0kmh&=~
zqR6S@TKHOpm7}T@C0q+#RCys}l2$?{>7vSubnd~TH!Jc&et&3`Cez7avoQYiTz{M*
zwE$mmCFcp}_j8_5WRyMz@DoU{0PZ>z@d~6G_ydR(A7Frb6eGqlV!ZeEhK?SVQty4e
z{m6naesg2<r=~xqt_c+3)GFnIT9h6_@u)x>kg^+3z&l{|wE{RMbuF)5MbHgS4*?va
zyrBTr$_tHxx4L2Ol9mF#AJ$S1r^54F-*FZ>tbRw{!ISWP_#|nO3AvR#kJD**oe~?8
zQM*!X5;6*n&Gtp2I7-v1lGVg+*zwrHN+-z5m^X+Tkqp5vK;OP7F9VIy@|Q+VEEc^U
zK(Du0oS6Oz<h4sls-Ny~eT~){0Gae$6dGMmGC<I9uCuwhHC|omeR0t5_ceF^QQ+a-
z+u@Vt@%{O+|Fq8f`n=x_Oavi?VDcKJ6s43q4r+~#!zrbTg{$>O7!61JpZTx<`Y*|Z
zkOI)`)$4cc9%0!#rg{i3LP|QMBqzz8<hkTc<eh|6*)%K4GSYKf;mgvg(p1Xlr>Shs
zrL=ws@sfB_mG=r_A~tP1TPm3VZg(bWIaKmlac;1lLB%(vaJa1^Pw&-YniTVLnohH6
zTxP#K8jafRd_8Y=vNp7an;qW=@cmBP_kF(|2q{GnaSkAb{}H?1a%|ga*6cyA<4Fmi
zr0WYQh5y-JuLo}0Fbo(#+Ju45^E`j%3tsTC#~yp(3)cd_)A55>|4n`mS(fXW7Jy}X
zu4TyxAdDJ~Fo595#~uXJ@?6WZEZ4J4crb_^C%x))2ZqOP9ua-$YD%UDPr)Db!3TTo
zc`5O?OyS4#xS*uPS?Lqd_L)DuaN)uQICuX1`SUM-$qm2%2fgQR9y_)P*M0lj-#&Nl
z+xtK9vX{ZbgeXGDRd^8|Ap^2bw#aSdS>(m!m&o4{QVrz1%!{lPGG@1tgE>DhuZJ{~
zc`>IBG=;Q$=zbRF@tibHE;gd~L(|wJxmCcuf*Y1bw5%+XbTlZ-GM|(BqG}vyM{q`B
z8CDJ!Y(xtPrvvB{26LHbBFnj>tUqay)W5aLQVG{B%eYh%p=SRTQ*l$>1KE~<l(s3-
zAZ_|V;5QxLF#Hy!t@nF~o(G)E4Gq*V5sj?bFbvadwFmun%QUsoY-Be<qh1t^IzYWq
z6!iv7JOIx_^uUD#{Lm9zQ&DSmTo-~cOc0_ZqLiUQMJ?-kK7?Ti_fUywMG`<p6j_T>
zbSXuUF02LyhyRR@NC5fE6e&fjqc9u}qVSnuty+M+KJI|$0eF)0+t%0DxnTep24BZG
z8VtI<IEvz4cQA-zd`8XnJhzs5p68`LcpiY~K^LWAP~l4EICj|38c`d776Kr6l6$rt
zH4TlhD*&9SN+onCMWnPtk)~>InNvXsA@blqiG>&8F)}8{$vJW#`4RG7@+m^9S&?U1
zIVkd~Di_tXTvS!LD8|{i%t{fbh?8`}Hpo=vY#xq9it)G{uawAgDu<wPHp(@%`GKV6
zIF8bBOgtNwvyx_0-%AI~ATA@s7mrI=Zni3X&*#~=<dv)zQ`{MKQW}-=JeyR1h5+w2
zgkVise>X!D7`%JXXc|rJ1#N_Pb1<(5z-11}^x@fT)}6u{&}ELdvt<r<{KoR~GDiad
zaGAf(LAAWR%;Ao8>Ib_21H&)?=n6xVEpt4K07@AT))4qIMU3PAL#<j3fGq>Slpir6
zyZ#Se`ZJ90e+Vc5gS%k=N#M(ib=jdjZwBmtmc4s<c^OzKp7Jc&V+lF<J|bKub8<C#
z8hMHGhAIl$Hk}V4m#1Y>g3Ih;*w<3om`~DD=0%?M?>F#aB`(;Ub4`Y@7RlE=M>$<`
zaIs7H+d4v{zO?_TrFsLPQD17;wbr(+&)ssRCIQx`>g}a^0fu(=FFS_Th68(!p<(|A
z8bE8;(T1TN$N2oLog7yipbf{-a7(lJpGEI+WA(R+W*r*Jv6a@RPHC-dM>U{++SOWX
z_lu690kq+KaaBA0LQnPbNfUl>K(4~q!C7(}d4#-_ypepEkdcVQ+pKRbVjrW*vMd+X
zc%GF5mk#%UiB#l;6xp~G*;q>$3LGU^$MXS7n@r0|j4*GK^ZKGJOGRn`b!PaEk)zqX
zEYS)>qMCkI&gSrT&JE4EkieMGokq_xgMLgYz+nw$%?iW=((P5_<&jkDoi(L6TkWTc
z>)zHzKH$7NSghrBlZyRI2omtQAON4YIsJL_tw`}*R|1{{fTIWu{*?zox@Iz^{6>9*
zKLkLEfQUjeCy4XNwkfMIh5%X_hF};)tJ-MP*N?3B6hbp<o5s45&Bp3%Y0WSiUW)+-
z4X6;>paB#%0Z<{T003#tG`U_6d{3Env;+WzP(lvA00(fH#AKD+PDr&-y&8NP-oI8<
zh50Pwf1ojaF;U36#VN?9WfDhHvatfdA7K;@Sl_Fs|74g~Ctdg6TDM!f&*-FA#insp
z(lzd@b-T5D-EMOAkH_9smg`toyUA!LNp?nwd$r}d=2c$YJCvq}dhgTv>KN`#lKYaY
zu2Aag<lZ#BH@W&M_i6*cxY|8b>vn60+^bFVDi;pby4~6#LJ2wGUc@%(@VR|il7r|4
zMrjGTnKT5gDILyKiOXqO{?R||U!?2nRlQnYqrdQ?I#lcHbpPT%z~zgJ;Sew5aJazX
zaIrrXUevW9zT!!pL4H3GmrfPEvR*cjk`oAw9l3N8M>5N@*N?{I(d%D-$WU(#2K9Qq
zJ{UA=HHcTZK$gA!9ktp@)OC*ed%OrgPNw8aawj1p6{}{%<FMrY=vctm9TfSTr{*S}
z1_u=j<tXR)1yZoSS+%Ij6q$$yQXT!jG9*=r7u&7*`e3lulY%kNb)n3%yy|qJR$E@4
zkFqRp_Ikx+dAU}D{SS0&^;);la9zN094CbzbpB-wkPYUWW5>-`qBwrlsbUGb-7Dv&
zDMho{#GBe}S`;VF9X(nU7{}wHUI)lWM~+<eBO87I(CLiF^D6+8_y{zco4=1|@7X&_
zuZinNPNg*@gb;qPfABec6<j7c*(N8+wd4*$pe)NI4a>5OOIgZNP@XbHQ5NN#1e%mI
zE%^UhxfK~&(y|yuRx+}z%Az9k<V8`G6;F$l7WxG<O-l(YmUx`5Qp2!LowN;uuF}Va
z^~P7f`qfgs`qi304#r(~-F3wiz15E|FE3Nh#AdL+-0St8U|i^*Sb@u6?*ASbKV=C?
zU6)E>{geSPGhzR8MNz!$r9~a~_AfV{w!FOj@6Wn-<?5@i7K~wf{Eg3f&T}Btg3}xC
zA>!Z%2bWR8WpaVMl6(c~umg7!k|t6}QLq$8P0~p@Nt0=kMp+)v_aFw<h{dihQ*z7I
zdR|)2$FdhlleDA)&+es>jIygP%vIB1yxf*_Wh6^Zr_KYs@S~D(k<U4n2%R07O&8Ne
zEpQ!{53)g#XZd_E&x<j_^|MME%K9zk^I4gJf?L4yuy+>an$PlV6>c%|wgZ3JSNZjw
zE~?42<o)4T@2JH0mOiIh%3*q#mK}{_YbkwNDupcnh;?%!yL)@fFwb6bFK2TNLLCq(
z@+!*#*8nL6q_9RqB{kJ=-aDe?v^LCE7+nVJ`a$4#830hm=`fC>cnGw#D<c8|;70*^
zf$s-Bc(AyW$Is$0j59<^865-AzIkgy>t653(JQbfW9rBN7^8HJGC{wN1z=dedGCl8
z)7g!P0KcPaDn(p|F=LFLW)Rw`c(eylFaSy!XJdFhXC*+nmZM+fn=S{TPJr~9>+Zex
z_+DMx_&}qAXq6aolQ1*`*kp`TN*lNG!@D=%d}ffQ1~7OALelT&d2f&)rwka<T3)QK
z7J03nC})TLeE@*CKN#ixLEIt<0EGil+@_lsHF!WXmQ#S2#wQP*J9py5Qc<DZ1LD&f
z2n;!=o0M)+&XEB&Zsv!N+;sDq(@}Gv37<WH|12{EdWtbl89UPGk6M&*MgeFxz6rB(
zoKc{sDQ6TYJ=*9G+mtiL^yj}n!-MZ(4?ai=axEdSxZ-)Yi8DB#mMmgi`Nca6Q53np
z<Dw`5H*+1<3vaOW(LujIII0X&{SOVGm2Ih?xd6@P#6XnN`UA^2+VA)KNA+5zTG^KV
z=?l<oOw4aJ!6gvuTU)zFx3<;=fckZ9Sz7CloVs~qZFMLu%P{Ev-rqmpqq{ZTI9^-J
zq-B|!5~7HE@O$u&aG5C5BwOSdxq{q7euTU$dxV6m!^jH`I>dImsDdcLecmqeLiy8P
zRHK;qLXz@Q0(rBIV6)sjNrfz>STg|20j)#6*pot*eM1O7AI5|INh*r+?*Ob@1J`<f
zt>$~LK0nk3;>9!y2ZNQB&CQk7{veF#i^U+@*vR&O0C7YijuD=XQH&Tz_>yLpH5($S
zJ9ZQ~c0Cb|zwh^{Qrgg3D#igR3ZcBHDTN>O;kLdX2-%E0pL4?q17Fd8A3ho(MloXi
ze`~(y`BmDB+q)YZE6cr}@B4nQx4g2k(d__qz7|uAVuT1{I1alZziAm9ODW~XAbq`Q
z)l!B~2dUFj<AIwF2HlQjb-IH=>V`%T`ab76t=X1e#Bt3|5m_czkPC!V(`@ROV$|R{
z<?%eu^o~REdxNg68SF6ZZ-vzi-hLJHdwRXz#a^!mmoD~tz24>Cyeap3y}iA?y~_vW
zQm@y$=hCH1Kzh9%^!6|Ida(ZD-rk<3`1s3kiPXtqCG9DI|F!*8$Z46RQ8ptRE6L)l
zoIf6y&lgpa>aZIyHQD~<+ra!y3!vKtuzsUwV6BEK+jR+*-_>5~O0XzBb&668dc9AA
zvTKO7dOrFG2nl`PuOhlw<pU60t!qnJ%5p5nWhWIDiL;tj)otrSAmt~igAVf`3C1|Q
zJZDM{1_!vS^J{BspruMqEr3x@s}qnYsbL)`HFPl4ar<SR4(13&N-<crb+d(@wEfs)
zk3pl^@TbdwfXh?A(QLqDtgwXMaR)WY#~~wx*w+>9!qvTi{0Mm)`91P=@?G-R<UhfH
zj1W1Uxs9dgcLl+>k>1|zc|NzJI`+1+ld8z)iz$(P?IMljpqN$MoC<@|XHk|C39&(7
zR#ukdGMPqlTo(U)k(0qvSr%n64s54oiUOyyETd9qH6j*L6ytJ`jYmDEW=pA%0}EzG
z+Px&@xh&j|7GuZKypqv0nJ=<IJk`0h(#6Q8tjLRWnoTG3MX{lmQPe#t@_BClvy(WH
z<7}L^=D+-dpE!2YjeC17#u_8TZg#=8J<IbXfbcxa61rY*calg7=-3to!D~w0Ly<B7
z_J<TGB858+VG#6vBThU3W%^;rm}Ln7*agl3IEP)+G^wyH%Iz&nNCwKbGyn)n-EcS>
z7L?imGJr5{CaFRg3=VCdz2?aNCn#k|DMPRrMMf#ozd;I=-st<Z=h#wf)#-X3-U<Mm
za%3DSa)SW?P)ZphAP090u(@#+MKv;HU_cUgJC+TAXqt_d5K6gjtCglelQ@*xcO1YP
zFp8AH-M}bN3Rj=HXS%kYjrv}idH}Yzq9|_G>IO3UQ4YX40N)itSSB7~lL!6^Th%Q9
z;8c~cs2@E7`qP_xJ7!f4#d49=)hnL)tjz|v`xQbgOw6A^Y>0&UE`yn_vVf3ft3Jy^
zmS-2GNmBtC>kO`$Fcy0RVF*K)f9#8rWbTLlKE|-u&M>mx(gzGY6M_%GB~ZMc;?Am#
zpYyC|J<H~KR~LCvHO=|@0#{d$p8W95!v*n%M^{%^>#3ZbZ#UJ~_I-a=)y{<?1fYE0
zczK0qyr;OjdbD2yqU~qCX`Y`XNl2QfKZhT|Pti;1HS})!AblBqJ^d*C4E+-Q5&dP7
z+?kFxPQz~ADmPEC(;VaDIC-W%M(;E;k1@sx{Xt%e*mm>0C9Af-ukuYBW7CdpyVZNp
z^fq>V6Cd(jzl~kr?W1}--VEKEZd|TA0KKqPU)RsE>G{!W)s5l6o-Xaj{TRo6*Y9jZ
zM%USw9pgni4!e0bPs1FiImTmbFn%8o+3?)-N_(?BZrsN>%{ote8`Vx&ZN8h;KA!h+
z+V_E;^Khdl`zA&lF+UBPIL7g~S?k1It9`fa`aumVy4WYM+IPno$9Oo-lbSfjHjb@U
zE!DVdo1ntD7^l5j?RUdrhya^FWWRAt;xu}9)V_&h+u7-O!0zIHh!ot|PQ$q&51~06
ze55qS7>|wOCf|~(xIVSoANJ=r8sqD9I(B{69&E$RG&ffJ*5TZR{b4_iOkKcEGSl%8
zrx@XjV~o+zk=pKtuHOw~JjRY9)?w})OQ!j8tAka0sPTv~ZjOgp?bx2TSZx#FPNMB*
z!M5({@&`s!W_FHo?)pBJVQC-RS?x5>cgB6Sdv+5?TU?dtXw@E$G4AHZjxplnjRc}b
z;;uhkot@V#FjS}-Q?hqXMXe1aqE+8HF~(Av)Hxv)*|0E+SXN}r2IN$oD^@Lcq}E8v
zD2)-D7Y?wY>s;5y>zmbzC{bNoGnvoX8iw})UXU*q6|8dZoQR|blBNg>n<2HZ)@6nu
z0ZbkWth>$^ld}vm#=*6TMEs;KLBx&f0;I0ycL+e3VWCjZqy#Wqwa<DnpBIHPNzk%d
zF3ZZ5UE8%GBY<w--k}m!GAzzHKWtZkSOB<ucMvQJn}%Sy-fmA;C$D!&ZwQ1OlLIpx
zgq{&nHr^P0yJ4_cB_>NkFpPiXJP4kA5{XPINdS@JH`3BKjrZHji#*__a7V!yos11J
z2aq^)U4hJJ-n!AyY}&R>a{`1b7Kqf=*K7nNsZR+E@fD1!3b8sP&KjUC$7??9j>l(L
zWv6^{2T(;$mDIte-oqIQ-dkoP9x*P41k8d9_t=8v@|cno#d>|=2*xdz?295Z1fo>f
zq<Sfp3D{5#K-1<-C6vPM_Ln&-fabxfRC(%c0l+g1oSOS5;AYidlSAqAG==k_U{2Gf
zT><=Py)MZp8-jq;T7UorJQD%H?>_lmHGr>z*BlOKW$DR%G{GP>+Gi<&DX_p08B)6e
zix5%p3S+GUvw9<zoC9u7R^6IEngc+p*Xo$W6D2medirzt2mD;}`N>x$-<kY)^2^EZ
zB!8VGccyucR<>{dxS!)>_p{c<u^n5ah>^5@t9H|Fw)2oHi_sS8WVJT{^udRAnN&bF
z@9K6lC?a*AAq-5b@R(&${O{fN(>yf$ah~Rb)wVxuH+Ew;ZL{CU={O&DJ-+SZ7$3)R
zo{qhpZPyo=4#Rf8)%`VWHCo$kG7feqS3Bb?m_3*XMp-TaBSvlsgA-aXo$lJbm-gi0
zgX1e79I5Z_cYVKJUrzl(`ql0Js=6`5X1slV&M1qFXyZgzySapE7mKT5ebP4fo^yF7
z%<rdDpeh|+G8wV-h8bdj)PK{(#RcO6mYVXEPCh&f{pQYU*(^;wS?_i)I^4d!EafAJ
z1dS;%bQTW*rBt=Ry+{E7Z8Ng(8H~C`6hUuvgs<cyM<^W+T|R0yZDpG6i7tEXIL?h$
z6hV&*#sNA=1q*96-%D%#W}I05@^Ay;C!q$w90vpd002geA**wV((vMDvx(STS~<bm
zb(HJ0?kb6c?&@Z<8HAl$JrCYx4xWTxgin%N$+HL<O-2Dk8=3Xc^mEKYaxPh_Y0q6P
zqE$SdD+4KHk-fxb>MZcJ5YYc3E=5|xRe*qNfyG!hy&WE|N`SI@7#`Vb*~><<cGFF(
z1wgTS(-lRHQe`9}Y-|o&T?+NadauPyw+puGm|5o#+@s)q;Q3J$_&lmf*|Tl@BLIk(
zT17FM!>J?BeCCl;0H+3HBX2GM7Lz;goGf6u-e`o0y;Scb2FYlYrVLnO2V8iyHJ}fl
z3bY2tS?7S3?GQ?c&;8(^MPB*cwB(&iKP~kR!8>Au8+$)oWM%#>NzzjCcj79~?rVhf
zPM^8%pXL2k$JCUjgWWU39zbt&`phU)P3g1`ZMT}u)^^!+DGK2-+wa!G7$NXGae&f{
zAoS8GhdqvX)-f$=dz>Xo1DK`*a0!B-x$h7EtLz`Sjj++EXRxt+_U!WJM%t5&AOpw-
zM~?J|(DDM`c68HA5G=P|^IQb#Y7;Q>+JL74PHLk=QE6=p0qs0I$=Y%%WJ5XkR5RtU
zW*)+tX_=N)IhEYhw^&a1TIhQUSbpfChhBR3l{alZ=LPqjxOOxD=tn==`gjA}_#}11
zi(d4i58ij*kG|)&+y47c|MXA)lptvyd>{TA-cD+yPY6u2sVr+!JDp}zT4rSkuQ_w(
z%zJ<Bt<U+<Ge7-{?|9&``qI+U4_6N0?VtSqJKpixzj)1S_TLEC?Emsdte%7*Y2(Y`
zY2*p=QSv{?mk5FJe}V574PqNF?mT%lE{k7bBu-f{k;F!sKSb_P_yP;lGS6xz(~SlD
zF0+_V=CdpoEt#92a9l=3UL@6`8qf7KX_04R8AmWNY8$)nn$q*4EM@o3E{P*q!XN8m
zX<RI-E5Yw}B2FpiR%>!97E;!tAhcot$99x55d`OeDAAVHCylz&j@RpjVXeO1=ybdd
zA;f6lx{9(gMrJ#)<Co0_1pfLB0i@%2akD89<zBBFP%xCzQM+BMQFuKDVHf}eQ4ow=
zt)y~2t)%jpX<8QC3QAFG7?f$X2D;hUG@>vG{erXYs8(}LP;NaoOr(~k6p&J-83z`}
zQ9x<G==UY7)u&#qPQmjcC0or9DFXn@q9_Cf3QTZ7(_+9_ungz{u*`M2DHY>zWo&B0
ziW9>yt+)lY?bu*Bw$lbF0i*;%C?VtmUW7f;B*(~Igg}y(Wg<WzrD`cJ%969;G6G;X
zj?ywmzvL)hS<Gie37G|J!b-dN-6V8MQBV7WlmR~oy+*_H0er7f@8a+D8ci<<z^ga9
zIKBCIRyEu27WQD!pHBJ%aNR~T%UV!(9dO-7E6bW#`*iAMYhciyO#1`4KMJ<tA!Blm
zw7?(_4|aH4pR-COJNv5ntjddNy2A&KBe{_1DBqb<Ya3j&8wJDg%J2VeCyW51uv0_;
zh8Y(xDk8&-i&>m7>u$ifd~fhR2%}CX3IRI+UKD#>oHE<+qfklQJ?@cZOZhk_2}$Si
zypK-{0!<Ve$w6#I(wr~n6E4j#(#RH{bPh)6&VB30&OO|A#ldssd*{xbJNIMXI(KgW
zTj##@_cmz0^PC>nV4SNvWK76tOu0?+A}_Mq3{?rjnn{{QK*d1eMK~&XDdBYvtgIeA
zy1D`mr9!WsnHILCB+^E@vO1ryuB3MZ0dn`d+u6~T6~vX5qgh*U)0k3do3>$c5w16y
z0L{kw)xZ0@R}(@g5eJvyGjN$)L0%1CB_y0?)3jVvlo~%BXPyv~8a(QNl1z|co#%E{
z7AaJEX_8hUo97+MaW$R>T=2P>m1vF>3;ZP>mr2fTKnL-nny_`-i(<^tiHmWeD(b7o
z<*XdTsLRu`Tm*=F<zzaU4)5uS+X1zqEu$1Hk%1d15Up_x$g;srSHTo+gh2q*9GREp
zcxu+;aXD}l07U_^5`e`@u*wa(8k!3qO=V5(cv61o5Y&ib`>;x)y_jdSbYuv?N9E#p
zZJ7c<z%k^eKsREiNzc-#9LM8mKpe&522Z0hDx>rTTEbH=!t$NhT=T>lMv><j8Y~w~
z)3T`4MqF!mG*U1v%cNAdJGI!*l3JE&f@^^`950Fx4?TFDTEMi8Q85(}Qyv0y2pJJ`
zCB{nID6IMllroqJ<cP^Sy<ZRH@{Gk-Ay;zVJ42j0PZ<d5AYyB+E4n|d_du3en*~>u
z$|PWB2JQiX2Z|yuz+G>BO<-z)R;2c}?-)g16hMkCCh-g*GG*nmU~QHm^}F%vFoc{T
zLLl#|cJ;=BcwsaL0Y1+?fyjGD2U8D&Q$pqOb9)eFWtv{xr<<FH4~p};D(j{(ME<EB
z(=>Hi)#t^7hc`EL{~}Gxj0pQD?;{ISm12ZEI#QE}hynypVx+7LEPW>g6aZ6}1pvn>
zT0^gB7`}f65o7ZjVD`++YD5cH*{ZQ27*PdQAq|eL8pcDQ;fB?&Y3c=xKmi!Q5ENoi
zFPg^H3eZDnMLtc#id4mfpsKd`Ycxif*^AV<H6kDeEY;3Z4v~_S9e|=NjYhK?1c@Z>
z>CfTE@N>z>C4Yw{{yi&cyN}aH4B_qAY`Z?CF{ZFs=W%gkm2CpX$GNr#ql1+4{<zD}
z4W34GKSfuv(>(QK`<SKX_tuwIrO?iA21x`mFdnh7Ye(*M@iA;t3yQDZndZ?%2hZ)}
zVV|)_Dh8W#+$QQUu%jq{Rb|?O!<%yKK1OBx9dP%BHqa)gSlEqBhlT`_e6|Oy6~`>q
z)WK|Ehs$cmHkj3G+Rkn&5pQ>M#+eJw({UPhm5(;t(3fz1Tz^(bD&J~fKbWib;W(ka
zaz0o)9t)-~+mCUN8^b#k#Uf<E@sHA+>M;d5$5gRR)3!Z3OF<x5W39CS=y-tAv$M8M
zQ_B^xa}Zgar=-NW9)ysEMNweK=F83Je(vWEM!^(9Fj*jSgknE`a*>>^b9M9n2O=`U
zM9fM=<j>C9+Bqvr=b3;4@Wg3mLI_MyGrW}35QJ+ZYL-g_sHy^Hxip3)s0$%wTC!B$
zwk;tq@*GG(CUe%3RjN{yHVbM)Ab4jPU~6H^hypq1nXI=)tJ!C{Beq24L`+~0l&P;Q
zoHA!<SAcU~*k!pV$_!^&3L^5(Q403<Ijcl4$1}=;)evk|7-EqWV3!32c_7d89Nf0n
zRU%6OKPUG=ppa!}tR|?gcg#d0qW0=C_0P$!>bfYGje-Ef%xuuat6nx`QP)@5bG^U3
z%DfOU@78LlH>Ft?2!#96J}{ohbeaXGPGkT<jOwk+D&L3mBG1a@60!kQ6hmkaRhMN}
z<mcsUE^mdDfI*}q4w*fzjm(25e<Y$rj*W0x8d$)>lqDM>Wl@p8gkqHAg@L+WE?uPr
z&7DiPc}*qY(llKGsv;q^V$}>PE0D^i%B_fiMTsw1WlB{^Dj_d&1M&gX67~d>7kQ8?
zPFWTJEV$eVz(#CdiMX}{Rt^*Xi_;*PG))~~O~;7KGX-homdm<^a*u<83_ex|IRg*+
zCCOVc07SJYaY}Z>ZphN<?KWFw{utGER^t$rT9{^=CpX&I4?%Qlbl_8-?|<GffUfU8
z`__5|HEN!1jIrm+B5mK@y`JRZ*(q>x65Fn=&iAmv4aa6XO}DOKEe^z@DolUUmj%-;
zYMQ2@zrfkqz5C}EPz~QvBB2CN|C>GqpP4L@*Cz=p)eS>c*e83G$sx}#l2s7U#T*%V
z>9LWJ!v$0GkN3{ZzWB%8YGwU;wcU0-(0AMCZMVM5KUgm|o8{t#cZTOY=gw_tRi15M
z+=qN~7v_1_*F@LX&--d>mif!i&cJhhrdKQc1Fo*_J(#~>Sg(N9dia7bc>c`|?%sXT
zyVk>S{i|Q#T}!yWe&GwRuaOTf{b%}Qd~*Ko3@>>bXDvrp?J>%F8(V(N(ER#+gFgAU
ze(Se>?rm~>!y7+<lauZC{HwoDUiK;S%Adw3KlvcO=*b7a<E8g*!neUlQJjC@7kt6z
ze|}Ow{r{&wO^jbme6mbVlU*_<&rbS>1%OlJYH}mFlRQA4LtaGQOx{C&j(mlXFfCG;
zQn2aC^MVVRmW!&8v#KaXT9x^n7iqEN39Cq^<)V;f5~p8Il%kMjQWe$KmKOE|k}s;F
z6f))IYmwY1BU36Xsoge=jI^rCq7ZcF@<NtLDpO5$RF&ICaR{2WlT@BvbVwv9kIS<!
zan1)FtDnD22r;pX{lAHHs)ER-H6dygo@rTDXCOxX`)BUjuhnWQh$7<~Sw{1m{$$*8
zx@lOp;xO$x`@ivR6#RG;MS-dr(f+Cx-ZYs^teT04j0qu2zFpRHqf+UK=MDw~-e~ni
zzw@H)a@=YHcA^_s%JIfVzwg*eciL-fC44GPQx!y!etqS~`Z*tTtjGO;<~j9)Z|&E9
zYwkke?;c|A=Y*&UQM<jS_jloB#Y1tJ_TDu|?VqtMYr-c&h~SH_?Uhw$pZD7Jxl$?>
zo~o$;;3wPdNx8i}zA<WW9{9uI=6F0ViX`!ANBtV^!54`^o<@i?EiIDiB!zS_;whxH
zU=PJtw5OA*k>kXfS{Toh>7aRt2lK&Vf^c>OR+@HO8-5aM@v;}k8|%}}G%+0p>bNe{
zTU(t_ipcpm%Mj*=N24S*DK&yH8y+d4-yhGOPFB}EiUips<``+ZIbGj~-va<}a(Qbz
z?;%yv^K7%<?+>gp40vn0vOman583wS#tLY2d8trpHp_-lTw#3|<w00lgMPnn+MXvR
zVlUs`TDHsd3Nj}r7$O=29RkV%sIN|7X)y*iuJfnU`It9U?FjGRe?7c-|MjkE7^Vv^
ze*PHtA&$EL@Z+s78Kyhmi2bj1qZqnz{QUp(5qw>*u6fVb$a4q@`~7}cC)&oEYUm7V
z&b(8R7g;9nXfqiNHw}~=ER8QwmgDJoIxZ(=O>}KS3b_T>?SB%kt9dSf>(%x@IkfkG
z%pE(7EZerC*tS{IlAXSx!_Y8?5XFOj6jQC;aAXS^CIFDpjz5}g5QYLSEsyK?XY8K}
z*8|&0QriL3P%HJ$HHqywc5=-%S(+y4aPA~Y@|<fqHvy7#I80K2z^`d_Wbh(fCWjPw
zx@lRJ(G;dV&G;AbB^IaR)wdT<FNVjk^~ggCY$u8w8yq`)Ua<5BOTqI(+nI1p>Y+zk
z2#%X1t_yGOJ9oyG8y7n&vK{!(A>!~q0ceUTA1>F5?{xZ!>i{@zLU56P=1;NM1psoL
z9XV@J?Lsq2+27Y~F--Zf`FuWOm?VhtmJvM|8Cx-8k|3MS9l%STf#X>C#PrUMjSWMn
z1Tl%}D*}Mv6*Nu|6D5od>DLfzzHARIPRZR$Rj0VY?pt3*Cf|MgN-}8&&mVCA@?JCP
zo7@Zn`1_sLi=@=WWp2@15Rb?`KYug^&g-A)3vFJO^g}tB7nA9v8aOZL{02w|M<Pm6
zEVM3gF5hY)qj+4l2|v|<Zk#Ny9Nu12YIBfyzHr>cb#32K3RFECEb}nzwSzQNaTGYA
z7isFBU0+#kwE$Wz+lr9#z^{V>?K*zoc7lMm%kmL7QyW#}@O~7uYPQ<lV;Xk}Db_r4
z#IOOzaXBS?);QudI4Z%uUBi9zIsAz2dxjBp9s36N)GPP;to_UGuivkCUNd+lBH|ga
zolfhTcOI8@?C{^{0hyCq%6tb33Z1wZFgXxnkP0a>&Z=7o6)&^`ue7KZ(<Dt~443vV
z!bK&T5R_?NRDXT^`0*11&ooWb^9>WgG<;|rKYknpuh*4?6MG;$uU>i{!X<6k`xk9P
zYr}?%wxRbge&ZYeY?_{Lnx^S{ruokgMS+jtdC4Q+XxoMft@hdrh$iIVDY$&^tvp6v
zL0-!^viwo<D?~f+lnl6}hGKUER$*ZM+IcnzTyLjI8p<Bv{G&`*A<{URCKbiSkvK}D
z%qAkQpG*#_Vm6(`ksK6qP%NrRDl*h>I~Ij!?+oMskilPXRKVq{b6@;A80|Dc@Bl$r
zo`+GKMCf^z07MUxq%Em(9ZPBjCS#~LH<ARwnshq=>+5GuZ*J-rRj}Z8$|wa*0VoBa
z4g|GLZ4CBoQ3ds}BGe{A7_g{FvhD`fx&KwF!+I*wvN!4uvn(IA2F^ii^eu}y^$p8L
z;jzGkX{20hh|L01NJbG<u(G;!dVL*Wef{*->Pnz0ikpK78V1q;@RdOdhz8`N2Y?zk
ztclV@Y51(u?<0Y?*MUcqxGcxTj7tpYaWb8BFj>&ZH>nNH-x~(M3)$er@q2GOW7$`3
z4I2$Z8?HS{Q-~XD6r5tKI*!optZjCNUAy0HCtX;Q;*4rkeH#F45Jg>}s?{pc!tQpv
zHg30>Wvz8O06iIuVrKVJJs<sIOlD)JH)-50^oqTarN|>Kszp^IQLKAdoG)(t_)hm8
zJ&KnF?cT*5Cr+dv`;&aqIej|ql4%to2Y&?Lhffhje9|C4N?uRiLEcL~Oh_fN0qH{l
zjDCWMlj&lfXX0RJV}r3;2hMCU(6N(j9N$qfdk%-Tjzi*L5`=eTIZ2cFFdP%bQ7kH}
zz(QV741BYQ1{&#DGdcblVD@F(1x{Dvu*QLN;K!eF@+88>#?=9!?RlRmWucHh*tQwO
ziN&n7ejf$55K#xUI(GWKu5Edqr4gwmC3t?L(e?m>t2WjF`h%_Q)9*q`5h+shjw++r
zN6IKrhE9qeBBfItwW9sx#X}JoMM~jE@#M)zZrs~zfX&P_Mc^Vq$5tQ(0B1o{)C`Qm
z(~)gkA_yAPv8mRel#sL$1j4fIXq+ZWp_z@^Hn*X%w|C>|s_J!N|7Ve|-lGbb>mp#*
z+ZaXBK}G=?L!CAK>bY(_Hy$2NE3u@?_rO3g$P7r95X4d%tFdt)>B4+NZyK*>D-gc2
zY?`<0f$u}VzqNHL&y?1T3IW1%qwOpMSY17S-O93U*W^Ll9Z)HFr#;_jw*Zo)ADSj(
z+yLl>wpEmk6hca5fM-@$VbT4kwzm3xxcsz!(++&!OcG`(1#7Fvj}}XSYpc8MX3L_2
znTj)NxSqG#?IE<9>(fx0-Pxh%wc{T3y{4}XfJUR;w!A2ETSs=UTL;%S*cPzQ>RlD8
zoq&=7_Io=Ea5l#5QyyX-wo`tT;^BNDr;Uemz{S{?n$A&VTnoi01VI=87@RTF3<hxm
z&}wbW+ifmnoM$xvncB|E^0miTRuHmmJ9J$M<2$UB`m2(DpuzN6Tk3gnJgN=A(0=AR
zLN?;I=Y^IHo$h44*#zu%S3TD?C{w0DNv&41wY$2CP%Irewz`U-ltq)&bY0JeAZWr~
zGYEj#6d&|)a(f*fa^3QIS>oJ=rbeoQPn)q{g|d{*mj@A-SzSBj{zYiDR+k%1v)u@M
z06%E7Z5y}mLZ~;^8i+n?KWv~%)Jtv1zIww(@YQ}V>$=uJ>a}JApw(Ip+Mnr*|NXED
z!AIdDDaalnqb=v10u<jJS+Ix8={%mJ1{zb^=u6DY3|>W{oZO&|dh9imnGuF9e8)9y
z)$8<GzxL^^s@mGx`nD6?Fr9(!(beI2Vi+0*gV}5_0BpC?6LRYTw%!s#;EV9vM37Y3
zf~uEdVJTeETSI&CtM~`1e-pm{&O7hCb0c+KfJU>~0C3$D-gxJoccM~*%rxQ7+dwDj
z;AEO0fz@Sj-L&gDj@M0H7xq8?&St%ikfxn?!Rm78xPZmdk&h6<4h{|u;LqS93CIcZ
z5P2CPRV2$&$XlrukM6JbAR7dO_lmrlRreYQ2RhS9+P1x59LYq=TAA_Qg<G{*O%0<A
zzrq9)JpNw(8LgsFE2YCoX~;2*vf;{dPLZ*Eb#*j~Vpx`x$w9qdUt3=;>h*eGGNzVb
z4}x%*Btj%<nh2hxSs142U@#mH2U(KBg-~m)!%%Cj!x#BMfEWb69|izH=uao>BhT{#
zOz(N4^~qjYt9z#DC>0qxlFBhnubxi!rh{5768Q&#QeXhJ+F&(FqykVfNmeTeLVx+l
zsIZ@-hL@26uOZ1deO7|!!t%L9{QMIwCH(%q_uf0BN_pksdv`7zzW4AtJhnR;T4Vmt
zo}u^u4wC)9gXA7q+c^Ba7|CiE;Sw>(CLv)+!?di*u<Ua_FP#P(Y6;*Yg&G+UNT~MD
zlq6Y}J@G`ge-UP%`qZcRC+z#+X<|$lbMdp*KXSOV{}{Y^|FPK&-h8oqce8m_?z%_b
zIqt*7Pr;=;5fd6x8NuYHN+<WL%KqCugs1lQ_P+Op=)8LDwc-A+cyP73|I0r71YFvG
zJ3M#)?bls*_ww4>z31oWwaj;92bbYT;W9Z(?jes6GBO9#3>6LJbFcs$lf~s^y3j<<
z6@yHclj(%(QRkUVkU5?;Y@8Pb#57E06wGzqo5%BbzO2H8FS4*$XRO!VEW@xgT(@ca
zjMZ(2qG80G8+(C|WfYXV`AE_*%s#+)P^$$YKp58QKBrv7t#+IMq)DqCbN2huk(D4|
z*Io_RTnjJ*O8q~vD8iwWCr+HiB;MLcYx0=@h=y6O8wMiW^IwlV@(3WBR<miDh(HJu
zmk=!BA~{5k5dwLU7kM$raPWYY3`cJ9qm${loB&s-m4i~g`aGVerNrDC)h3hGRZ3S^
zCzIO9;;ygzMESHw*#F|&-UcUMdxf;qt)+lzt<z0M=7*`wQQGa)QiQbD?WEuM@P|Kq
z{ds~1KRkE}UR_^xri5h705o>4s>(@LlsV1$>a>!TEKB-wku5};2QM)BVXXO0WgN5F
zDS$QZ95dzmx8MHux8Kg~W0trR{r;WOIBv85M_1dWh1N^2ve3TzBR~A%4}aD|>*r~E
z=OY$cgb+%|LEZURev@2rTwYb>xZFZ+_qnTbE9Lu{$g1*Ff}hf~>@s6R@g9!3+W7Es
zsy7usPInDc8(eN``t(}zX*~t{=7k1b(HnLDMH=*r`6EH(`5N@E>Hp`@gG<CCbzc-%
zYk6npi?S+HTFHt-QY-d9t<(@O^1*_7{9znib>odU-f+W>H{5W;4f}s{<A~dyi}8A6
z_DC0|2T#E(;F7L}ExC)kvP`R|2c=RnT~`sZcGG^pe`jmIGJc+AU;gr!)t7hP``-7~
z-@||X*MHsnwO+5+dr|McuYUEbUoH0k7SjE{U4o}Cy<vHIxmf;@ix)3;FX|g_ym52`
zShZU1QtjuKmR@}65+Q^Wa?mcy24qAg<aUMv+To4TA-t+VeH^qI5kqFoIX<1iS9B2k
z5sOrqFjTM$WG2%^l~kc@o%yT)i$JW1m82F5L1>QR;%KDIDS)%#PQ9cQ@~N`d2k7_8
z=e`$5{D-}dGyO4ItD};ZsU%!ADi+abI2?tGr4b;)sHnoxa5#z<#Ry<*ccQ_drKQxZ
zK|k);*r_AZ?!^5mKXVX)@9usQrt5yEve$>teZ9I~9K)CDh;>s*smxYYi~u&m52G<3
z<p2PqqKbyY;VAmkb)E%s1J5yteBlqcMvnFY1_BOFLr>LdrlU`Sx9?wqd-g98P5v|(
zanSMufWU7xpP#e&fsr0AQB$rr|D)XhQwaR#*MS8}?hWh{_5{hu#P{0C%1U8Z8dU3b
z<#<ofC;Sr9a{7Z~$Bw<~*bn+)1AVfO%>D0r*Sp@;8T{O!1GW3^yYFeYzKmVCaTmV#
zz3+W*HX}&H!S~=l^A*uf{s(;`j^eQN5|oAIq8Ma-$fj9SpzcI)ev<ic+NLMLLD*l1
z&O;A9)Ow;0mpGGv`}g|*7JSfU```GnAItWurw%T|A-~Bm-%&V=>>%FC6p1!f^=rnZ
zzHcW@D#nu+u7rhIZwz;OJ<HnEU~Yr~f_p~81r4BY@Pob-923TRmZ1S^wO+sZcH^YU
z{XxI)fqoS9c@3{=n5IPm#4#lZAxOwUpXiLwm+ZW<PFHR9ff%Y8>wbJNLW+*iry`%P
z!Vo$fWZSd=^qQCnF*D7WF$xZ%^t{9%xJQ?<({A1-RwXs#I5L2r1wP|&!IM%U09)cr
zN`XVZB0G2rUJjSY202E^D6br>MgtJ-?4gtc4EqJcksp_;Bh5t-nhnzN_hvW>)Ap9{
z`?jY{zgAxxWavoGOOm?h1@)TmMYT9~U9qk;ZikFw5C(P=i_Wi9oh1&Oa{(X?gns`-
zu@ZLLX$l}UfKq^Q(rktGZby8i9)%hV!|AL*MhIbq9Q0dhFUw|xgq5sp<*}a@R=if6
z4p?84X{nUtQx8Au_x@!XxUbP@{PIukf40$ReDcRzgTdgBei>f=tH1iI-xy$RGGq_;
z;59Zm-A10!5ft_Z;!!2zIds6v(ap1gRJZAfw8Tymcpt$}`*7yac>mvGS_cH<@t7hN
zf|fgbdpji+f+8Is%?pWpvdE9V(}`4k`_$iY;lc&ZIlr;lypeOxFJwE1uDtTlPDTu(
z4?YLK%E>a}+sVhsm&sp40FT0Z;R}R>(X=e>uqER%mxDN&PNo4<W5?B`oXi(lF2|*a
zlc}DoL0b|=;l}k5$H>VSb0MW22y;XqtraJ+H-Q^JnWV`ypAH$fvZxjX4fg8FycjpI
zeU^uv$9Yv`5|l_G7m(`yD2>X6%uz~OYU$9H6Ig8um8Pv~X;FY)D$7N|e{a^#`w(nm
z4B7!R0&)}Ki?D-cmM}pl42+4>NqR7d5{1a?1qRtTTNJ8n8g(cNOqWB&cDM;d#q=1G
zM8a4^r<tTU)1d+yFF@Bvn&*W`zXQnIHY6|(;hOe4c;sq`mZxmn0^86)ndjxJzVBHW
zpE$m6Xv#UILIaqJ3afS{grkfk?A8ON4a+xeCqSpsNZnXT3&8uba%`<^Gys883K!W2
zQXpSeLICGLDHkA6S(G{sr4m7grppDF4r77fhA)`ljN6EUv9wlClDcGC)vtBjKva@3
z%7kedkuVJ@Q7DU3)3j}fIAcsH$!*2C3pQnjVIZZ9A&nAB1#_h|4TDR`xX`9)NM;xY
z=gc-tN&$G&Gfeau1K{;ew+%?+I7pJj;sTKaP-XxGhG_}_OG^al!T|xwjKFs^40;3t
z3U2wH<{_^hPMrw4Xo%0A5@G*ur3JP|09YBNVd#MC`w7x|yB+5pGhw5dShC;q>y37^
z!6m00fm&$N*i<p9F^kIM%matZ>p({9hz(CMCM`37UC*m|zyQ!t8l*HBn5L->2dNYi
z4MPA3I}C7_A_p)i7!-kW+Y-n$QqHJUitqnYouXxeAtS>?u#`ps6r3}r5uKrFTc%|+
zObv$NI$GPl9|W#vvbtSM(_TmFxY4K~MTY3uh!nX|Yqosl`w6ycH7&L0hC#r!vK>nz
zx+?Ng%Y%Tiz_OGIQ^eR0rEu-kb44OiaEVgdmf=fiQKkVj7aS1qr5S~w8NKj-6cL0-
zq7J?aKY&k>7Fi}+<P5oqJU|{}$QRlPww{Eo2aT!2X_6NGc(kn&Ih!XpI<qkvN)t2!
z{f@LDjnVClNE_;NP9NDoxw={@<50UrYuIRRHPci~CzIl@c$zk^sw!=CyX!ACjvhU)
z)uHjYF~{@%>gut?FmblMHU0q@I-ZV3Qr2oi_*A2=w&!nMg`A5hX*BAxCTg{0oDHO9
zTUlQW2IG)1nB+zLc?aOfWfBDb($e~&8-6w$jnbXfRW}iGq|N2!LsAO5HX7Cm7ggLN
z_cF8)63VuLOT4qKN!0^V>A6OC#~l9oyui8#?Bxc4x|nBq1A|k3$MEwE4;{KWN!rD@
z+XF~O{mjkYzp{R5k_|vgH?*{EC(8(i5g=%_+G+##2TQB{K7v%PZz#hIm(aGGO7&YU
z#QtFQU2%Hzp+m?LfL?c8v_CwTz0IP1dl<AVt<lq30oE<S86YapTU`qS*R9)z23raN
zsm+A|6uzIY#qqJa>u<s<;5W%Kxw+?YFb-mTR>^U>NGEn!o#^MarL1U=fw4tW5>jh0
zARILil6aWSv`i$N*#H0F@BjanX@U@(8-_aCY6%IH!iBn42xIS%XIU1tpAiCtx9`Su
zi~+jm3@!xv-XR3{TQ0zFg6lc^*SOg5KP=U`USBF;0Jd$xKkva6hYue%5kfmeE~HLk
zX;7q!#?fg2xZqIqaK~|%%vlPhzqLFrXR*;}u-9ecDal^V3@oC!qV_9JW%TxY7{~DX
z{ZGPm(5!0**Q<RA>laKV0i-f7SW<mKN$dKN-Rmu>P+b}7dS}o4G)k<@b8B#2&Glga
z7ka-}+&7g{%G`ghC6$uaTbF3xdfl`Cwb&wyUj9Z(l%ukeMd?^&?8Rf0CNh#gC=$NM
zeDrzGd*1UDKrIde(+&dL2!l8Ub#qt#v-iB`J?}A+B(Max9k6XKtRP8@yk;(SaPU3&
z0(_9HkQ=slK8=C0#x@=;3Wq>DFLKeurc4uxA&i841;*da%#ENJ*emj)n>cV^<|JKR
zy)w9Rbu}INDd75aI>jWejngPnW8wStRurkZjN_KLdU*xmmGhf5O!e?yr^8=)1&!l&
zyIymhdac_G0(Jt*@)kXhs{&N;vm_uDxq{qF9wV<NZzlN<FbV~jj&@$ra>(@NF)5u+
zs!2H{_ZY(|O{^j8xe*nOQbq>S!QC!$iNd7wTwZ`kKg<q8aI?y1`KcxR1h=ffr_?Lb
znjsyBUS5=Cw+nd1bbUQdZRDK7kt_?Cb%OKVBTs+3*w{FJY-ySD&5dKnmY2{B84E}4
zj_sJ#^OPF~E6cNMoo=_^HBH-Tx4S*Zwr?^_Lt3$6n$nE>S}>&rQ{aTQO~G-5Xf|?}
zac}>heXrYDJ$dEC_g#0aux?vZ3)AUzb&dYmO06zrzrVUtuL;@juY#7IkHYi1-C-zr
zFkM|uYsUWXbZpx&8ueDwww12eIvvKSkywl}Be86hno*@0p+p^g6@CD}LTu6?%Xbe?
z#rbiV8&@Qnl?eP7k&xejrRC#Wh}+w@Egze&_PUnU>#og@fByLL65O`EjkpEr4abi6
zPuzLei4)%Y_kRi6tzv0BUMgB`xVeA)*bVRZPMo;w&J%<XAmre8;UfGRxr30AkYy=~
zvdoLJ%zLzS=R(_7>V5#*T3J4(5o;gASw;&uuK;)j!a^tawH+?T-EOxVN6;N_?pRj2
zwA_r_opvW#42MaqT}cOnVWxHlea8j>OcT@W9yTpQBY1A7v%v?0exFJkYPF(Rf8E6M
z7&9~+8D;>cfzWPGH9!<D62ZeT7_I_D(M}vittNHC03k_6qm4ArJ6%M}R2W5$>l{lG
zz~vDQLMaD?k>KDm{32W?3F(q0a)^+s-|u5_U8aHpsR5naPZ#@TJm5x^S&%Nx&P4$4
z-@hN;9|o=P=1;bQa8&Va_V)e1g2w(|P5!|OgVtk7JB)6-EehL7dgG1HzVXK2hA?a=
zNjnUojq#xC<g~?HI9}bj4MNqT=B&KQ<z|d>30>I$c<WP!R~}z)g@W6LVYApZG(ZxD
z_DDOn-HZS|*Q*_$P&{f>d4|4m!!!<H+G>IuY6TFvF0ksJC|vJ(HHz{Y3P(52<91j#
zUdbl~*(TSLd&!H)8^{NIq4U`w?JXPgI&QAAep{T+D*&KOZDld*0717X-s0&rU4m&=
zt&&+e&!YRz)Tj7nWhQ<S2Gc9%<#gUyEAZ671M&NLmt#kfZ3EbLv{@UmI<lS3$acnt
zo0A$Z92ox18Scip|44kzvN!y3o{0WKtjTrR0<>R4KIHG@0k*u+3J7L%IzfZ!B=e<s
zTuxBjOuqmS*=RZevJXy&z<OI&(#{eURg5dcsy1%RJv+<GtaW-aKj}O2zyl8~dVPQZ
z&Qlk_N5k*{VCTlIjm@?aK@g$>MdPbC`w>;3Aq;{b2tk9Q@l^?c4R7At+iQ161At@y
z1HeBvZnpsHyU_1%ZM8vOx(U7RVt)Mie9`T}uuUDvl^fH^-saL(d4!mzo@p)+>Wwvk
zaJtN2zxj3mU~l8d9~OUkhS9v%`Shnhtu2IKd5K|l*FW1Dj}LEcJlFtYBkEM^$99>1
zO7Ht{8Qxy=L?g+Ng<oNL2s3_Jm3}2~#;WJVSd}SwCr_Tdb!!`OKEI(F3;^=c&dFbT
z^{Zb!>MWg}WZLWXdU|PTd$ClQt46aqDq1ZCH}v-}zNOV_#erPao$y{l2%*G1cnba*
zE)j<`$$*ehR<bCwGA(5}EyGkukqRYri#)5+d3?5>+TPyYy62JNuD4jZXE$0|2EJcA
ze&?NcK6EEc-}bh*z3o44gA1?6LDp*6US9M4fBoL~zV|)6*l+zC_!QY#=R$HasJU?E
z7(C7+z~A8Bv1c_&e=r_6c4G6;p|w?tt82%~PRDiVTmFH4=9$Nj<JWRLdTfQ!<(1PX
z*4EG`{m}5HpvJ2)azO4T&n2%U?;@l!%$c%{ZZIjk7$9xul3+$u4Hr7^hpogVPZJ}I
zkPw3b{U-B@3=}H-G);O<vxXoF#9?`42%^3hNiqrhx0l~C7?WidMQ~SOS(X)emPwnw
z58EqlT=#vzJ{^zGoE?v855f2AvAeo$Ss^n`?-y*PSku-Dw6;G7TH8$uO4+v7Fjl^o
zB%ZH;x4PXHhs$TT4`oF*R%umc8=Lb7!LowDvXprK)rN&Zi#99(->>K1BFhl7Y~kf~
z-v_W7G;(a}XnmJyd0mjo^Gq}Ml!UHtnx^4zho%W&njuF-<iu~ObshZ&|7`NIxSepK
zb+=V^V(t{b;aTvF)|11jD1^_G&IFF=lY6kYe;FOW4u<)&)qnB~(=@!cN?jKwLnlaF
z7us}r<>=9sW!eVUO#){$F-%Xjf5McKrga3R%%6dJjY?@+O2Ue}RCvJZ%~p*8T!J8I
z#un_W*P4ds878)<=hrYb09+^SJDc4OVyC<5^i#(LFjDj_i#G9k!*H7jO;>9eGyz+V
zVHnyiGsKL6cFre++M>QTXUKy#sKr>w%H9?ou)|5Zs48rq#$NXMd0A2L#fxcKeSZw6
zWfVtqt5eHEzw0#|0?!AClWsSOVUVKta~|2pG97^L!J(dK-!Fsrj9%or?cdn&0K8|V
zt9WAEO${UV;AM{8G2Knm*z^FrabGGdlSdE&{|*;Pi(IKAUD)Tst{`DCMsYHWx=6^w
zV~{!K=oPcodPd;iq1W3S_j)jxVa<~2ra#THY>K_^=4P*lSgYerulgrmNz0V#*H525
zz1iylbbFhpJ?~77f>h?&L!Rfk!_7_?pxfE_a1F6`>b3TgePDB!i`~xJsD54=;CVhJ
z@6d%T&%A+wL8}<p0n-N|<Y@N!aw=OKBU0gW(56R1xQZ(wRe;J80`7?%2fE;X^731K
zIfbeqm}&Z_gSn~@mO@k%94CT%gxG(V3zt9Xswv?8LAW}&hgc*gIoTw8<QzFqZYLxZ
zuLT6E8E4th=*TT*lA@WPmr2MqW65?D%oorfg#`~%7!OoDfByXW*G#+JZWor%pMTA3
z&Ud@r?mtZ7*XGM+4?pM-ed52adhMNezV;KJ_(W^@UtW9Xoy)D|fBD2~@4WK`)9F>8
z_(T~Nc|^;%`!FG4JGVV3=I!6(;&dS662bc}v&#4V(v4wWf>&if!evRd#K|;G{L>bo
zCo`eqqFT&<Uu)Zx(zLann?jhjR!ocR&mI5uocs1aZkbQHqF&&y&n)k!;<(GXu#?Wr
zc6)IQzGoW1PBPQ<POy^<OvCdH^FttmXY&(~r2Rpffc^tx%Ip0!fzVCy{l=6-k`9O>
z^5E0B4VQ@|HF706PyUvCpZq&$LO3I%G|h3Qla@&dWNES=f`FEmXSAru&PaGRKQE=!
zROVLECo373bI63x=9w)-i;9pjo6CVrWa=q&NxT4gO_1!7owEnDME3jyAw?=n5ffob
z6CvPLVPgTb)7uu)^a^>iEl%c>c?w19VHwZkXz-;XO^c=9if8kDE~JqE!a3)h!AHD$
z-I4P-pwL<r(gMnn3p5=e9$YsO8FL-GS8hw6Qz3ZJ2~?}sReuZsJGCs^GNn@B2+9rJ
zk0arS2)>pI!q8*3ZJIFGU^2%sIZ}gCL}W@x@n#LC==J&o0|1#5+NLGLI5N4So`nFl
zn&To!kiy}y-w!}Xt|Ph9zUPnnh>`ERU$*EqwOTFdok2w8P7napTy6eOiU9nw5Nh3s
zkU72&U{Z&txCSni0D$zaFs4$p{Gc|75=(F)>W=U%pufa{n(n`PJ<Bxh>T;!{Ln(l@
zW5Kxvj9FeBqiwm4U>4OHD5YTXI+X%rMi;dKQYt{fwA5<(j$_-d0?Rdoc5J}~N?EV#
z)G*9AqS^pQ!_7gb?Mmr{2!S8eHk!>Qt^N4!?yfWafMr>LlyX&xG73l-=^R{!54A6k
zo+Y=F*C5epXl7J{i&#~K6wH-Zay%$<GI5u4c#%#`Qv~3$EXy=VB1~kYfWBiyE9YeQ
zZZR+B)Q@O^P8&xO#;qh#DoI)^S%!=Gh4Wim46|(I7qu+fZ!Hu76h%<3Vd+&$*RNX%
z-G*sfZZ|@(!l?Blz=2_q1UrEb6wwSkKS0R4O#wGFnvHg=*=R16<%tVhTWqm7&-jV5
zT>74ABQQo8Mp1;#)Uov%qmy^yXsKu0wm+yL_2Xs~KEeQ4BMo=`5cr*5y6Fd@4>(*M
zZA2kA;IS*@7V;YMYgtrL>&>T9=vzhV9CEw!5uu@Rnij<fKB1jQq6Y)Je#k%ynUIX*
zDXGe%p$&|M9FRA(lB%*#XGLBVJQ4DUNO8@HB}}rReo~?2g2yjk!1wE^=d;Pin&-NP
zVcfr#+cu|CxRDStvh7!{t*yy8NfKeYu4#a?w(h5n>-+VZ=dnhk5!v-xsw5av$`AoL
zkHYo!`%TkuU3V>Rwi?{?l7{Dl>!dfVt*sTd#hDb2={lAH?%J9Y**5rIBk^2buh%2Z
z1(U8fg8Lhu4~~=AtLrWprt6ybujRJInG|l+Xf~MVB`;W8TN6o=B*HWe*LBy+8T0&f
zo!72}jO<!HRq`k6^?HbioQKi++Wk9}O{7$@ZFd_koBAG|udlBcwk4>P_CmXxGw$xh
zINOeekf9cw3(p&7>AoW|aSvWd0@5d&WQ*LW^l0ba0_4eu)3Z`cv+3e?S;)$H^8n>`
zGaHR@acx?-Igu=CHp`1?xtNDce?iFpW(>Xl=Ffh7G92Nt_ntd<E^$5Ej<3CN;lhO*
z7YLqLho`^&?QehkR<F0aGt3~%cJF8%5uWcKfltF{#C*mc{onC?7KE_>M7_2+6+Zx4
z)l$Q_@OSs&ykQ#um}Q?lv{WGE`OfZe1ULIi<DQV+IpUm1(yoX#Nxxs@IJuF$n2;)|
zGRZ1r2N35)o}$g$m={9k2+)v?C4{`JlPe6EoRc_;$B%JVMrBrWT3VfdgsK+R``Q%S
z8|!>&X=$~Fpp^B>qeqX@R+~PorSlW#;F@c$x#s;DL{an3+v|Z3jTiO<|Nep2nhv~4
zKMVlEu=gr#wqW+k_0;C<$~HjzZ#qVm-V=s9R?&9s%ZAZv8U@5jPu*wK065c|5QY67
z2SkI#sy*@+IZqxSFOFD)S1cfPSgguPCq5Q3&Y+I4W>(~fd65>@+od9xX%<3@qNog%
zBA9!g$mXp#6QE@x*UE1`wwK<`!?4kbq8qaI+o{nkmYNONsYS0bPMv(9tF){Ak9WIW
z9mG+nwbD@(_FTcabRG8>n=wXVGu9}u7Opt9V@JVj<FTAvThu%+j=P7Ojpe0=F7Am-
za1+?oeS3Qrle#WimK8{?R2)T-R>~Hx<GMnKR|S5v5d=ZdX!?P>2D7FIv~A#PJ#r(t
zk31)jK!nPiU6jX57>|fTOye>w7k#NBeAQ=iZj!}siqYqix+!JBJJVTpYyW^0`TS=b
zE`)Gwr>%l82$fPQ2!jqZy3;=ZF9?z?sMSZKdL5uq&##3rY}NgM-+E1r{R3#VJ1u}#
zr`-ZKP9Cm3ev@!)*Wp4~zEnzvVHjvBt*=`F`rk3O@p>4sB>n!3@_K!%6NUhen~v_i
zW+%D7AGmJN@B5zT_v^N0+4W~b<ofKi$h5b>Ui1cXC1{3&R%}OPc`RTziG{oX8`)$8
z$+8cM7Z|eW!ZrFJlT^5TKUesG;G6UL0zfbqtRuUJ7Y5o*$pFSj_l_bm7N8f^((e6N
zo9K6?*uL)CV*p$vfbRTQwV1D3K%>5TcK^p%lQWBT@na7i#=FdR;5dbr);<6P9v6(R
zOFMw8SWl_|F^;KcSvBD&kb79X2bc3aMP?dIiA{7*!8M?jrkKtdryy5TZ#gYv*t_q(
z`{eB(wAUzyJMWY?z28}-9PWds{mQTWig8ijfCBFPRsEyJKovp=aR?!Eya-nkpA5*9
zuWaWB$&1L_$uE&Fl5dfJAU_00)hI8^C>zX+vLeMksT#zxOv{LbILt;uH1}N=WuD28
zuA(S5uNo?5yKR0iv+OfV7>$!F!|a?G6*Ay^l`LgBiy36YX;OPjMVS{{@Y52>@sVNT
z14%8r(Wd?4bTR)~g$VeSAD~DFBjfBjf|sc$1Y=2;CgmJhy?cY0>gj(1IY$J}0c!|C
z03t{USf@fzDkUArGb!0WAu?3Vg3^mNgQgQe3KU4IC<Xc)vEXSqaCoujh$63AsRH%Q
zL6QI@$zcEgfKIAN$ry-*U<|kb#y~X3a`?6L^08ybPBC`s7zLo~{NYm!fSr1n*Z8YW
za(?nv{2rQRlx7)C0Jpa&Zf_%)^yG0$kDsJSPoHG$<Z1dG007G1mwG*=_I{b83xFIi
zp=oSVq)4ee^kI&vc=JilPrg|k0a0Z`Fi`%7LP(N9KS|**$Tu950P@%yBq$K?I3WPU
ziFXKK@+}|yTjag4`n&KdcpsTtt{4O*tyj9rP^lT`9A4oEg}?yv;eFx5#a6A8=V6q(
zy<UG1T<LVX`D#Cp<7T7WN@7Htrl~6dnr+0<Xz_*FY$kSAS54cI!{OD}y!r*FPp_{X
zjq;+L^m>5({_08#A&%M`lf%uX#S4&r772WrQ^c*ZS?8`MHxL3vnl4h1%m;*#;(0lv
zOM`7O$>Mn&T&HrZpQnD2rL>Hzf!`$4c|7N*Q8E16-~HX+S=Qef#=o&oef;AezxwXA
zyRZKE=c=lzKKIWj*F1#Dls$yr```b5rQR>B_nY$lO1)p2@3+Lgk3Rb7^yt%{{`99G
zoj&^h(P%Wf;;(-Ax6D3mddp<yAiX0YxCf7uF}ag`gpg5A0EXh5w^^J^;dc|9G1Y|G
zMPTj>ktoRh5lX{JEb+zi05=7}9jr5W(z$eLr4ULY7lfIy(0-ANg$w*Ic_bW2KoKr2
zmy_{w4T0iDQ3&2KP19_*M%lnL2ZKBASn9O3cD+H|T06X3uhC+uSfVFdj-lHQlY>Ey
z$Qk4D(quLp4JnwbhS|P_he5p_da>uZR<~VKvR-RaWK43woj6Vt+XftDy}XttVHjGr
zX{NOlkupsg?M-Wz$^JK$f=9u$-R7*3E&~9Bt@fC+wBH|QNrC`SON&vzA3c!)0Knm1
zuNO&gDNQ3ls+N+5)<tpD<jKlPeqGIV0em;{T~{ZKw9zoFm{LX=r8<&I$S`PRag=o1
z4cFp4Y$S=05hA0UbH48DIB5_d*1=cdpW##FxrFe%D9gMk%e-1ti)vO*Vj+bTX;Mw9
zMKvxLMPB4ZUgX)htjZ)!;&C}E@}dITOCQyaVfTyixP<K3IjkDC+n@@sC?vp{YOB`;
z>~ty+Ny7O?J-e=3Q~)RyXg|PqXjz5<YikZ;V7eZ(W6QQFjr=Hb-JEgTc3ohIurwSp
zIDX=pTQJDBw@)9Q&4vJMIGju;DQJz2b~}n8G|ZmiIFN<`Oebj=VqhB3(~gVjXw-=j
z3=PA)7-Vt6puVww>vK+?M4|~f_-cHR`WS<<tI56ON67ogFOk2^)7X%y`MgNMYXq%i
zl^3(BC<zwHt!UF%P{}SgF9$_M(;{KjXfYM<UP;SE1yqia$Y5f=C^Od>X!GA)?rSYr
zBURD@Xlj}SY?P{ZT8tp0Bc3C7GcP13B(fD%N$-e-JeTRBDxl~4JL7T3(`K-Ag#Ue-
zrW%Y?D6av~@RYc8WGOJU*BOs@e4oEK2!f>}%$v`{Vq}9a=#1`khK#VF+ndjiAD_>Y
z<qw80QFxxGL~4Lu^L6<jb#EHzJqkegbTIYmw(U5!U3X`J-lKF+2Qzp4vj=aaA#JtB
z+OfS2ySD!?Qp#4h+mgOxl!p$L+V!7nZ+Nz&H`^^5(i&{LuDfp6W?kc2`~T#5-p0Sj
zsJ*Ej`*rQmQ*1tWtM3_xVL1M(r}A9AxpS!eWge_WjnuR(D``Y)0Y5?MiSct1%d*Tg
zMF2dJvqoT}KM-Y)ljoARlh0Y9ld>EX7lC*UKX}JwCE~Ia>0&-B`qTMAv6xO$kxBQ0
zlYF&3QOI(9&&E<nx&U9zloDAccha<=#flfx3F47?y^<g`5z{KI4%SxlayFl3gUlh5
zMsZY)v(;cOm^voSPm}5;oChL(G<lxqq5$qd5x-KYszbe&9`wld&5ffO03>&nWtl1f
z$MplPK#G+x0yuS?Iu;}lA#Jykm)N#_j!_HIasmAWI0ycSlrl)y&|sp6HGp9bg14Rv
zAe5$*GD85u3o!~Q4I})FbF=0*r%95g3247&7=Si_khOJyu4@Xz3XN8-q<AJGMiGcB
zEv==|!`w)cL<6iGSG~$Fxypz7E{N=_^Wxy(;GdAdTcauauOrVQFC-uKAF<N&Nh)Ex
zl8RKsN(LwtTm?LB=SAg4w#A7;d0-`7g+T~-DcT&y<nLw+;d$$&WnAP}gqNwF!rJ+~
zoRy0#mjEZ6#KknKz6mA7S91U7+H0?kyPaAJ*oQzHfMEi)TJ<c1Zuf*~*>0<qrik|F
zDApVGI)V{6Bin{)Lo2Ntb*;2&yhbt$DWwLN{030b(ILQa2rzuAJsNs0aGo|To8~~b
zcahq52L>E52$nWn-!#lX`}LY_!`Z?x5FloNu9vrL`iGw2oVk_(fRyUjqVM}YfbaW0
z-rwu>01)|$I3feu|9M4w{{q7-8^T|>=(*V=Kmmr-bNi_kGYZT1f-p?Z3_=K@<erQb
z3G&2NKOxJ-vY#q!YO2AlbN+^bB6{q!lmssC@5SHjUN`EPMk<geQNwI!*TbdMD=U3v
z@xTKQJpDaeX=(^%D4itL`+TLN{e#cL)8R5{kTZnj#Sdoqq1-9~I+8-SoD@=<s)$=F
znq5Ih{Z@F^wyA107pCj>QqKi!H9M19O}=<<b=9_-%CvZ5n%QuAsK^oOwY*q%kvdx&
z8_gEr=H{8P3*g*$-E~!~RzvXI+Q4yx`MI;V!uN4B+NvsB2xoI+z0(0GibEUyf$JJ*
z+uV$z<)zt~%}pdg)WPTBQ*fDFMaXDSlx1F&Wj-&<aT&={j+^g_4g)P;I&YWGXM>0{
zIT}(ee*Q~jl)*1c!_eBc8m=EO(d`X~VK^N2x`GA1+puh{4MTG9gj5FOw8(F|u_!2K
zhLXYq-m)#*hFY_gaIGx?h=2%)AS|tU(rVVgwk<oY&7vr(8P;vPM-X>+Z?}wE6h*UI
zN(8YFp28_yA}z8^w#Wr?A9)@jFiCUUU6_z4x6?_*&=wWR{RkV#kfbVHN>U+{qBTe!
z0CbpQ(mAT))muzwt^r<YXs247yHHh#SA{3JXtlK#xUq5Op%fssRFVQ8bJiP7t+h65
z05$k9j>jj?ZfqcKY@BVj02gj24B%Ue3&B+ikUnE@9Ms@&o&#=doVk9wGoXK;AdHW%
zuE8AA6ofQQDaKDfHXu#m{fCPs#HHf!;iV-61?_R#YWHhGC@BQ`0se&6QWg(B4f}AJ
zA7J6><PFTD=1?FZo6XbFv@f@1B|V)m=babFW#_|mK$vqVQ?L*+4s<@y0cpr$c4?3e
zVkI+Is8b%B_REEgKg*$Xe8Ud{zwx$FGO6?lAq3cVxc{EW7F`@;3ND)0MZVwfHJgz6
z!=5&qy}s{<*ER*`R(HHqG#DNDR7H%{i+oe78tkr7$bGL?PmJeb>NU?F({~$V?6=~y
z_k8?Y^0DPYnxpLO%Bthq)==bO`W67RnoW%`v@O?JSv@lxT2jcc&M4L$ri3Qfe4%a{
zfSaG!xmu|mT!z2NN2#wv)(L^+yj=0LEi1`@q!nZO5nswmf}dyQmwk9$p6B@^MNt$V
zx%b|CAG`PJUo5V^`s%As-VAfN_1VvU_SbK}{r3G|zy0=~2J-*TojbR;2SMH-JOA+D
z^YBXe0trb@4w0+LJ$l@H2S`kD&|IXa(pBj$CL&GJ%s}K5+>{+DQll(h1TpCLq8O#I
z$m}b1*6Y3XuHJwD{SJcn3{xrO4%3ES8?G8!0t4Hzu8@H09XmTa!Z6ezWQ-XPds@qP
z2YqE2;)v49dxpU{+y8>5ls{y;E=pw_T0B{nrE(q7ph6gH%LZfY`!xkZ8qe_rH_t1>
z6wkivuDcYXY!!w!=zy7)`<kV;M9{apmc=^M(8eEfZKz*!7z>^>qy%2a(cJYr@GAH)
zSt2)bv_NC|Vp&$^^RQf0lZwd#y=kiVH>#XQqhcU|=__GNi)ZDy=2%{&lj&i6O@0nC
z#u?HptsUmAc6Mv^cui^F9}cIMnK(B4Hv}reK{m?Uk{jT20buSq6sbXl)QF2bw>e|+
zPnykEtKlG6@R$dHpo2W$*i2$T#)7v~=KHfG;SBWCvjJKF4mkEvmr{U6W4BqadxQ{1
z_`y@~DY!%|(jqHlhmbHyh0Ke*SQN9l%%+*p5(J8f#(o*)v+7++FxB&G#XK*bsM=O&
zSa!^DeCM5an*2!nAu9~~T#e^NA)jyL`S!E^o0+#Nh{U<T5)wLa?ACMB@zQ9Njfx;R
zhvxZ*XXA2B-g5n&cisQcop)Yy(ge__uX^>HH)gZ>a~>pukb|di4=xd(tdis8O7a+a
z3n8N<Ez2a$`qXc0wWv~zO;X7!V~NosDPxsV<<04Il1}>q@vNHU%t8ZcK(&XAa@fC%
z7F8<7n!ooYtyvWnHfmf>;Tu31^r@ZG(?@_%L8e#-;IqH|TaO++x>_)YJ9|(IhO2kg
z>-DAj(whefq>;h6RqF(yX;}$?lsfjg@Y=mFfVcE|y{;<`uP_QTKpg!E2EJ0hhn#c!
zC-yJFJ^Pm;$7TcBSO4|C_r33t_^bm|n6G=^``-7yNyFEM1p@j49H-_PhA^~ZRMAWU
zI8JTyzW2QkoVSA3jB5piq=X!N5BJ~$T%YyTNT1w99wTohA0!_qUn74B4070lE8t#u
z4BiM&z%RnL;NQ^nz>$R@8HqTGxIC#6a$4qDIu3~|M3Xofgo;r)D8+nSius@%mw7oW
zXXR`vq2{KP>wWRK9LG|{TxW9cjR7i5%RI^MV-a2iyq0y+L1QB#n=a;MIV*bch`tRo
z%B}I!ayHMW6B)(RGN0$u#gLy@C3h~*giO*&1y!?YkCN)mcyD*mO9Y5Ou9zi}4GIE2
zl<kGwo=-}qNmWg=>3hkeMeb(vRlX&xE^QT1VOC;ZY&J<2fO&NKY29U<>cy@in&76D
z#^p4f&Bw*K9L&|H`pR(@Wg=;+zBrmj)5(eO^U2B4N~ubVHEEfTn@$mwi_>zh2FPv{
z^-S9E=fLkg9`=97Gz|dbg&IOo&oCx!e*_*(%=+oCyoqK?V5!(y&MH`B%R9vqJT;%s
z=Whi^3aSNHidrTrptgZ(T`9$s58x}Nme7`}NY$t^4M0l)NGYf`O&C(zm?*bxr4%U5
zoMy9$P>oGXhpz8-M@g+YM`{WwnPHj$mZ_PP;<!>u!kfoPH9*d(Qk*edn)V?Yh^8r&
z0^}&*!7`Oo>PS~vDh{n=L(8_TQMPiZSc2R<U<+WF#|}!+X2dxg@BoFgGrASC_eJl`
zhn5OR$0ts1rhrAU^USrqz4i6Iy|t?y03|saaTdpna~4Cwc<L|?L4bmf8Wv+za6rRk
zoC$$oXelKMUz(=$ZJ>4yAaEH~f&<8eDK?4~0IEPy<Wf-PxQt4{De8bJ#vGSX#Ye!|
zC{_Td+;EDYUFkd`uC(y*G+)6OXN)m^-A+*;B;A$Om6dJ^#nK^Sk^14O7-UEelMCb?
z@+f%&`8o0_@_F(<$)6B1n&sMkUng_0L~Al-%!?wa0Spe!;R0k@%*vY(VbZkQf(S(3
z#SHcy9wOs;e0L(GuU#!t)n{pdAs!-%Me8CdsxlFPD?l{bLQavcA!L5Nyr@R`?tn+~
z<wWIj?yCJBJaxCs0&FK*W6X0L2pds?-q!m1db`zXub)biBngHpD?;10?J%@#+X_q1
zjc4|5`mSYtmJ!zOHIN1gpyzo?D+P7~F^XJ6SP!OYnnsodrkS4fJkNul250{{_uP8R
zk)y%>igX!srPlv#)$Naf?L_;RF3TtVCZH?`S=R5LcLFDI&R11c-Eaflo)=(f+ae4@
zN6Ih~(g_XIs@E*bIIgsmp3k{$DnKc?@>9k_!?4d=X5d;joZtUX2f{(W+qLeI3!yDb
z5kfe*PVQQf2g$R@kCP|f69NKe8guFCaGqp23P??Rc)VB@ilsk-m(wW<Buf?K+Dl#P
z&C_8YmlD2YUdjUVhf_@MsYS3|0WuczQZ3Nywq@kgd?`nI-QPQY{+iZ(zMn7tGx4d_
z)zy{h$&=HS<>`qN7p}kl!b?APZ&4J*XfzrXhkL!<z3Guv>$r7(H27u|MPcFPrzdCG
zM?Sr`Hy&dS`%m=#rDS7cW8>`E&CPRX`bjVCzwPYG%F2c1JMO>#{`=o{>#c8l+uK^L
z`|sb~*x1-0=5<$1ks4Vd$H|@KW#q%;bL6|^pU8ieripFu3O1gw_<m@S%YNG1nish&
zv_bpXW#rw2K%6eH=#ELVX(nR-h%l24<GD&^MOw*fHlGz_ztEK3$P_K;a9g8x?=7p1
z{F$8`9mG*Ae)(#)-ep<F<+fcp^C#;(`wYY`VC2HXoO8;x&wz6UEzUV*Dnj5w{?YyI
z1+!-u&JqWYh8!3(5!T_xFbuhNLdyc|xE4^Kp+T4S_V#E<v0)+$C;;P3ATX(bh7>=r
zsy}Z`f3|W{&jesUKegJVA%aJJ2HtHEf)^sVpNr6q&>dqFJ%dufCPoSoUZoH|+t;~5
z0(+1FYf6N5jlu-5?XZJjQp$kuQMm7pJMI9WK#QCLP_S*sXTVJpyv99aE$61~-`ha(
zQKe4-@FAeUADBVx07fpyX*m~F)D9|LMIIn8Bd;QFAeYEz2pQ#aT8biQ&2px>d_Unr
z3d3(G*P;DLCusUEw=rUYYbBXZs@PW6&Wk<ZRuT=Qls}r5E{R=fq@Z&_N?N6P5!dWF
zkDI8EU7*UQSyHXlX!Lwf6vgll9uCoafyKEM1H|vi=AX^|N9bk{N1+YqTc!!P5%_*!
zfp1wRoN6|kU>aNoo?$@Nyn-nuhh3D~U~9vdwO0f(>!OSz*1w;uq7R-veVV6{>((2d
z2jDo3x^4eC)M|hr<^r(WrJn~&gMIxU1%MuypfzJk`2~o92Bj%eD%_g5*k*>|JzsVE
z2<paHm?i+e;uV3EvZa0z)Ux~;t<m$leb1YwsM^}|daWP~gO(ITA7}?sB7y74^@LPK
zTIlLhM@p*cBD|nxL^H4WS5xVia}1?UN?FlkUG~4X8kc_-hG86K-7thWX|05TL%B7`
zuBiHbz;3VLVn|_Wh3y!(uXMVIr?qVRKEUC%BrzEEJMC+Z^#}MPWxaO&bUH=X#d>XJ
zk)+UWPc3J)-3AE5wbJ(mf@*YOD6ggv2IHLoP$(7k0HUaGntOQ;MSl8qh_-{Ai_ZA@
zi04G2*17eM%XsPm4Hq0Rgme@n>l*t?b(IN2oaGtnmz|bMngi*_BuwFOHsEkX|8KMe
zH_~bZwqsdgV%cE2Zuc65^JNg2fFNzBH3Be=0D!SIfGBKiixD>K010I^tF3RuU^9*t
zSYV}33r?{Y1mHM>hUbEzp;r>V-Z$P#A+0Slju_cCM3&$bz#Mff6UHos$m76Fv(qvy
z2!bYVWezXGr^qt7&fENX*)&7TkD~N0!G;HFaJOg0v>mvhd!hZr#eSLl#nQecHSL#4
zJi;xZ+o@5D3LiRg;zZ~0?ln!dkDAXD#3b=5?!oP?8@D$$8jvQ4$^JLQk6+l_|C>@+
z5&KU*`Q(!cVluD-y_3r;ji-;Yo??<<+K1zw8@IL*TCGh?5=`sQum;k1)kKiBgUj$^
zaGC6p8_2WB<K$1sUlGEFv#8M;%4pvtP4Yt{N}rEnaS$bj#J!`qtY1hG7iHxz9>uL=
z(lXC-=||kkG8har*=7%90aT#bTp?Gj*zN?9r(Q9cPNrDuXU$4`A=pas3di+tlh;@Z
z3858DQr&<a+%8O$2gPjSFz_8maRd~u8wO#`G{JE#iiQz7E})nrtgl~j>vRHOm{~?m
z!#0Y2eQuf@2K|q6ZkXNxX=H#f4XprO*E3AeRuDL@l;Trs$JPgZ-_qKVmTj6qwU*LQ
zh9gxNM3HGS0M4~e0XPG&?7(te3p`4LW+RRPD7E}ntI@CxirQ%2r%lF9O&P%7`rU4~
z<42AISa0+PbxTr~6h*Ix;J8U+eQh8G1Mt1jaRA({?e#T^+grEv8+GFuR=q~iG1{F@
z*F_L_9hO3x=K2FbIr!~%yXAcu)3i}n20|33sU@U@&y;Dp(hqz9*Yka;KuT9TUKF`5
zfNi^R7*JqnTb7-Kp`{r&Lj(k^B0(9mnh(v??apY_`w@zu4Q)``J{SwqLw6^x>;^@8
zSxQ5imDJ7X2QV$CPpz)5-n9DEo#~_N*xh&Eeev$wpIf^fmM>kpbm@#?Tj~C9z{>tN
zU}gUsx8EK;?~QQ|p2P`!l3XCSkq5}j$s5Sq$@|EM$j8X9lP{CsCx1fzg8YB-ZvbFJ
z6LMIG3a(_ayt0_*MPX^C8QP|1qN7}t%2LR2%=r;y1Y05=iYL`nD^#a8gW#<$zm3id
zUZlmejOW=j<H4Vc=dzOHVz8xnT+Y<mleCQIJ1{h!Z>cI{u4LD(%2*!TMxj(EP}wV4
zS%gVQB*3@V0zoRR%4wFcS<A_?D5tWLEoV!zoW~1yi*g=o?3vVTR?gGBD5^oREHe`Y
zQ>y~TfEN;w-&SM<wel3OoR*QC?yFL<=3^?3;&F+^bUH<_w*VZ;AK_B+N0@XFwiLj^
z1TZTAbN259&tTF4n3({T31I9$y7n>wtWT#?0NjEZqtlIz4V*Na(*Tg|-S=73G!qjp
zT)1%Eh3mw%*Is*4yxe~t;vu~6!VC2Cp7*@%pJ6X!La-~}HGSwY;Y6*|#o@z;4_~`H
z91e#oD=X*yXGlunX}7~GnGo#WJMudoelcSV;kHMEP}!!<vM7p}567#jLX5Kw_`{oT
zzL_!`??LK-!|tjM#e10na0j(ab~jRs-b$$hwt}w*9K_qGh4gM}S@dgHU3Jw}Hz16s
zM;D6)z&(hFx8dxL2RAo283XU^b*}4PdAI<8pFQy)e9^Kj%e?8Pn{K$}yf}aU{F#;y
z6M*}Hu?KE>Ilkm2FWEiJ0N7$75D^y9nQN0IIeO#jg*)>+&#$^=eSQ6=VCO>=;I_LN
z0K5BcOG*iF$Ax5fcX#(x8~{G^-h1x_NIr5c03aYCNWz25@C$I6BxHjSpleD@Iiq{r
z@k<GLZFDCHEweT)GdS}nfAS{<chFq%7e&1R5B@?dl+T3L&RcA)Vfqx@0?lUemwB23
zq-hQxduac+K^ykl=54)fZo^Ra9k>in5Qj9$5-VJ`8pHqEvJ`UEIt*@=h%VsW$VHW;
zc~MQhwFv?3&SZL|Uc2+usSMr_H=lp~^@Ff6IDh_8w<ZpcH~SmKeBneLW<7M(Ravu>
z9oxI<jg7{U$+Xi3F+6qpuHS5i+4<|A--;i-aAEM@`Fg)B56gPwY%Si=X=c}4{jkYy
zI(|GOgb+$3A-D~%A~D${=LmtcNV77Rc{Y$jhUKD~q>CyX6nQa_%u$+I7Wd60i!@2Y
zf`&BDa+%A4q@`s5tpmRB!K+=@HMcf5xB8t<r@OwnyRx+N>!bc`>+tI8;jLM31S?0*
zY?tNsnIkK!gTbJj?X0cs%*sL5?dDsXn_GFeo5A(}@gM&I?Us@@U;wKtu>T3K2FuG(
z^We?_V7H4f*#Gc4)b{@dYB3ZA#QT5aYTa&Y?Gi!=C*t5Kd?{QaLoy>L$qnRwLPm>u
zDTG6<C~drF#Z8_rJ9hxO{id9z%?MizH^*mo*4EuxcbL|I_Ja^`kj>ynX4wFtQD52r
zINDtY(dpWFD>z*T28M2%@+)sfyPa>__`iej%y`pH(oZrXfLbjxEw|Gd&aw<3%Vw+n
zzWLKOqWv5P(Rq%IXg}@%IFH+i_J<t+=fgIl{ihD1^QWXB<lxJ289qw{iQhr5x-;E~
zd&xuOIpl@p73B5gedLeGx5%H7za{@feh30=h@c4rScWlFa0E`lRd6%h#mh{Ll7$Fn
zw<-&nvbmTp6J)ltY1VqpM(op8gX>JcGuSMC2vnX2ji;cJK-g{+-mJv=!^sY?O4dqj
zL6gg<Ndpt4Q{?l_l0>n~D0P=m-}lq9Dt&rKJH{{jrSF4@Sw7$9cn>$H(M@bFCfqq*
zXQ85XUiJIC-7f29-ENn4evUEL<sa^JI=u7p)B}H5@igbW!){@Wb=e>F`~CjrU@#aA
z9QT%fzu&+6zuWG<?XB0a{{ho9&C`RyU~oE3(}DT(*`qHSHech5F?gPr1c(ZRVQLjW
zQMt4N&ja*)uMz7>*U7R#Yuk6+mzbt$!cC@Wn)@F$P1Brz_s`m2`N~(m0I%JD>G$S4
z%|HIQFX;FC{XaGTxWC-*_xrzW*7oXtzuzAZ27|!`(=_|Za4;AQa>sEDr)Ar=VKc)p
z9AiDTe8skH?Tih>u#N7t_axU^+Xh@`e4Vua&B1?~=HT}!81wCZaj3&{0x1DBfF~)X
zR0{;)EDnVPumepgMMEJ1<H3!CUl^?R;rjhY;K%nLx$i#s@%>labkj{YfwTWlu)4GJ
zs=m?xu=$gHqkpq`y#L|BFPNs84ouS|giyi=f&Ye!q)%q#3?YzBvw;+GTxMjHSq+c+
zrNw0f++Bqg15o;I81&LM4gBdNk33>3`57h6M`{%7@WndP+WxP#LgD+GRx1p{u=PiS
zX2R~^qLSv)k|`C|_J6g8Sc9u-xc_YkgLccelW(=1@~o4FUamNv;YD~kdB}&~y0tnO
z9AM9zk>uEl`Al8cRKBp3&88Kc&2e71#A>IJ9KP{*5&Hefk(HHUwz7P<YBizN-tPDN
zO=MbW5JL2pmsa-H)(}@#kDn{YMSnOPm!9W&8?J3CM`!E{Os_v_2cfB$0U)Agv%Op7
z070<X>%ohr-5y{*D#xP{Vz;-v((Qp|hDZ$rLrB3}o)55896P?e47j{JTkG|Z4*G)u
z0_Wgpt&K^q3!n`x0Zb(l)5LtVYnU9`olQc3kb|$lMffzifsk;ZCe@fadoLU%YKREW
z4ccDtz6C4*_=F7?N`>@Mbfe~Zk!Qbm-Qit|aU4m;gx~_OD0XN49)MO+Gze`6O$#7R
zlN1duO|5xry%({bX&RIpQ5ek!1K-2>>>PZ0ym`aC)dt6wTxr`0kBoAFR%_nMhK(jz
zR@7>>+I=N`Z@E!R8p|uISsY6Rl&&<J>rN184ej>&`sP(@YlIL&2|2LGPg`V8UhZ$t
zyf5hAg;Op#cE<3$Q<T#3jKwSJPYOXCO4Nf&I;|aOxVTgfvYcHB_|-I~@XI`Mz_Zy0
z@QUNNADK)#ZD@C2SZ*JgOgkM2{N5AORe3sOEx`HgnyVHS()s+F2e{*K$r%@vsag=Y
zOmaota1R(m!GQ~*feQhkH3i`HTG4P^OIsF`EZ}yydk>)9nM{rxo<7=bj{d9m`qENw
z|D#Z6!AZG3zh*Xv#p0@K<}-XFl>)isQc}T9$7u?|9L_;2Lvf3O1Yo8aM!v@Ybh8<n
z6cME~5>63_e>2^PP7kf@Y>9Mf(_>+n4O2teLun<kZV4Cn_V%v7>-xR%_>_JA>9^kc
z^z+Wi@%VDH*<3W?(&fv~9rwmhJ~{4<pS%C$9`Vd9C4?Aw(boQSMJ$C<+8QeT*Vzg;
zVRJeG*TjflyLviBoKCO4YPjqw=oR%wqh90<D%~gKZ?d)4+V)I-@(Xb~yZY+c6u<uT
zCXUDF&W*?Trw?Fl_1Ll1H5kA?N)+jmXbPZ7?5H+RN66y9K?#Ck8Qt6;U31Mf{S7Is
z_3Y}l+VFSo1M<#yzVmj+Zr=X(yY3)_)DHgh;1BUM{5rWrK1M!EewX|o^4H|wKtl~y
zVGpi`$KgHjN%#`{ANYIt0h-vu5>Midgp3w4FBUQ{X4ydIayFlw<zUiw6Gfgaszo|4
zCucQtik6Iw`9gV{a0288W`4|V0!y;eD4wKAI*<dIORiV|s?oS&(3i(T=IM9l?NL$@
z%IMCDVnO4jA*FBF5^{Pb!mM~@G98yZd>P1r!!)BK(LzL0631l~Mv51bVmwzTSz<Vi
zJXQ<0?cKCU;`LLqw^WvsY3ND9Rd>y_ER#5qMa7HyiDcJE!VMt7da=ngsgi0jO{zrE
z)K0v|ZcC#b5P_}BAToK#LK%z=)Vibb^zE$53oeR?zY$d)L1c+{Z#mjMIW2`e)s1E`
z$Z^p}6W-~zMH<AY$*$(Js&K3FNJD(d1J92iAF_@#akr;Q!$nKx$pUA$JKWVS7tEDf
z2<}>@>vBqEKrNGcTruLy0`0r5t2ISLE=(yEfDjG0xj24&NAO0vG)zoOAu<{Uj^#5B
zAeBfcb+zlczG93q&ZL8uMf-}ouBihqgqAK7+|>YBtJPZWM?dPeYPA}`6^NFm6nLGx
zQUX%#Q%VgbY9^yhaB2y$e;ZJ$YyhltO%bGWgfb|lz8(uHEDNOc*r$3)3=k*1-f*pt
z32qqxTyWP}05HSzGzEZG`<&tX1_ulR(*$6T1R)Q*|B_mHoU@^20&?wpR0N>~5VJT1
zbOiv_uB(KQ5<q4}G1<)XzRhE1nvU!HMlB6ZtvP4_#!QBs0x(?J+L}-Y&cE+{^TU3C
z7{|MnG2hwVqzn`?lQ94nA2EF2b!`i{)@E2se}mQQ?Y47zYyTUL?;~i#)~3n05a$0$
z92YQ68XlnMTg>%p-vc3)DUhO6h5_(PrVxyqrePTx(D$80B1LXXDZn&T(`8C{k~5Q2
zZ5Ubyh7}2u8ybM31(Y*wx~}8cw&Ij3N-fUmu(ryW1Hd&8ENv)6V4y7E%topxWkJ6m
zX~qD+LJDAj!A-XxXdNl!U@@+Ip_t1>Jq$4wBE>MQbFt60p$*T|sV%wVc#J9L`@RKS
z>L3W9-%YgV8HTC3owgYB9EWqTeBY<qfp!fzQ0VkOl*GM$oB$+ozZWOJ=mde3snY@!
zo=+)bo+}oVvoO@4qnJ$rY|m4gE6;Pg0AMIbipT^&a5(~KKq)-aXs}|chYnjU*K4*i
zA%DSE3QWVT`99^Y7jSkwj*wBwna@nI-t#-H+MW;qeP0RyVMKka6Li-}x&L<!A(3Mo
zHS5APOfYm1x*lV`UxSwo9aqZMaA*Hl(Xk!P8Kp`o!!$k#wiC5%TMI8>%x(A{{4=Kv
zg~_D^R7##OOhYL}DdXC)9b5q^gej0wE|o$;C?N;m#J9uGkbsQHSwcpUEK8BG?j9<_
zB{W3-6$}`F!VxC<i<D4J7PS-ntZj#pZQFJfZV#iXTZ%wT`@w_uvoBif_fyK$dTsBX
zC*PYSnij==H{MmRx1v-00(NF4T;Wp$jpv<mR}jNm&9(t+y6?B5iKIRsw@W3PJo=9N
zz?*1<R?#tZGkOwweVGHd0M?r5m<)JVC|J|A+QTJj?n-zxHI0v>tQ7-qI>^ed3)~17
z4%_nVzzKH|Q_kTp{#s1Z(jnZQ4?||A(ag#JJif5NaSIE_hpSu$K{zoH1|XOM;99L#
z!+&P}h>d?5_`lMB0uc!j2|O8$S^pj?Ns_KhQe+i*6HCKky<V>mhf8B;!Lzsg8;>t6
zaF4zm1mQ#=00_Z^s%h%KpDaFWU~D|a05G2N_(wnb(S$sj0Fa&|)kU!`Il3fCk`BSv
zxmV}fYW<HfiD3<TKVvM^MdzW5(S7LY2*nO%<9^gDRA?`HHR{FUyE<gYw9l<zqYB!+
zXb{<MAp`<qH?W3wxq^kc%P#hdT%XS8?irBeNji#|&1lAb5`@!LN<jfo2vK>d3mnk|
zMddZZfeN5r4f;2qJGyIbZVoV`VKuBcWmr@d4$d@_Bn$wmVUpI8Rtw`+Gkqr))o_F<
z@xAT$n~L(;Mx(*08g?M!G>v;VZsK!rOG%Gy2egm@2H(rH5*0x=+KH}%5L%R_DWg_+
zyvhNqR55IdGE$>&6`QDb^iTiL>t=`(Kpb%fxs!_=&dh>`a$G}rLG(_3Ta)~8Uq8b*
z>+jp!?_=EW@9i|A&2Kjj*Tc@gPxXJQq`Yb$KXKy3k)pu3D2|*sGQSOn;mmXnx2*Dq
z<-UG~w|=RHLAxD>$``-*#V;yh*lq`*3cGbnUX`s&@o04T*f0mkhsW~CNzVh!r~W$H
zi7rOB#?pt-r=h+d^$WjtM*s4G`|e<#t$M$<O!J33^#?^fC_?`r|Gn943ZjUc0&kYZ
z8Zq>m<@+3VE0r1hsWVioW8G-jzK@~eR%Yxc?;ejEb&d$1zT@+j$KzH6&}fXuyVmCC
zFpS5?FPfXf+_r@yzbchV8plnUssfHKX&PW%&n8PIwEz2c)G%;;Uw~F?JYHEHkDCo>
z)Qj=n)p5~m!qy@;H~)~M+qQ9dZtkL!qar5f5lF=dZbucAvG%2hYc}!G%XK%+io&1m
zDJIYK%*MvX#+ftIzO}hIJm9@xV`F2(J22ebwEXEaXTH6$v2pd8Gt-{6xj8uCKmY2h
zuio(Y4>vb0Z~Dv`Sz9We`y~9!U)FC!jt(N6;*e{-9N4`ADhLxDKNH@^eFDgBuO>Tn
z>eQ*Iq8vC7<duW_u4uR032)<peGfheL3}k^k3V(l)TwqwK5)R#y@UI3yZuNj2lkyh
zB|j{KbMJ#4a29PxN7^*_o(S~F`q6MN-u$5vIWuB<u>LKTHbk;z?ukY`r-OPN<lrXS
z@8=vW$MY;_zsi`Q>-Cxax}h^(6D7ay*q-Njq9jpWv%&MGrhL!VH6}`;_cz>*iz060
z;VqYA5Wn1QDr4B$uj>Y5N_}P{f0&E1U$-%1s;;W0La2^a1!G0UIwgv!s`_V(I0lI0
zqG-neak~gi(=>z7G)*()pORHjf(GagMl=!z$Qh?$?}&8)1xeO*a&FX4<S655vj^+k
z>phI*Vr?(`p{pv2>JFXJ%Yg0rUp7-Imn$=mpJ2DCqR27Ebk)!mbyiUo-KzF<MUfd#
zsiLZiVW>J|j1xuG(8EwSps*a<wr$6{7XN#OOOQ@<Isl!{L<+AHIV{M6APIzkI;*RS
zY==ErQFY2wrYI^9B1nQD3z!pK7<fUrmf>&U9X3&bmbn|Tz13VulwCWn4sK*|+XkcA
zz>J7WJUhViww?|*Z#})FC{V4%Aw9NM1w}5sLQ)j5UG9itoTa-FB&lXrL$e`?qAG}3
zlu|c>O+_g^b}_D^{IRC2Z2d(LA}5jLnXgIUYi1af8oYo-K^0{=cA}UgFY+h62~R=y
zAp}U>Bt7ZUT)WwdK2k6V0hodaN!HCak|a%dxaeRm%+ZTR`7ke_FpP3$INh>qWlMc!
z;bs}$oX|xhXt(RyQPXPFfM*c3<47vI&MS<PL3u^iE3PZ^s-jx5Xse3Cgp#2@MVBO|
z%CbrgLso}SZ#jm}VrLttX}Z8Od>?P<;wC&<Q4}t*<E0BO*!7{Py?p`T=#dL9D7!9j
z9OYCHMMDdM=6IA>G}rZ`vOQf5d{rR?G!+<AtF9MH&4yp)2;o#*yI-u=o0hH-@Joz=
z1_&WkLOuyof|{s^uVK=g&?b5YdL4Qn`Yiem`U3z65W<WO%YEjpj5u}+Ucy2UK;_MR
z<D^KZu;Uqstq><g+FYm3+StnPc+aM|PV;G&6nvItqg0oLm5B#R@do-fcKKo%&2V?3
zBHI+9ak-pXkIYR&)yOSNaJY49p)ow3fyJ<@!BkCkXU;0ziLO`x%7X*@_*j9JB+0Jh
zMf&7Lx~`K%oEU)9d5+^R=Xsvv8D<>MVSsr)pb7B%I2Ov)F-Hkzm@P3TQ_849$Q<wn
z4+C3v)(8rUd7WX7*Lm*Z)sNsgh6&{`EI(r&RvwC{4*Zk7@$~7_cbtxvmvt@hhOxcB
zJHWp=Ns=4k=o@4GC3!1jjO?-5!os?)@6K_+aa;@bUG<$-5~smVI?r_pQ7EHSX6%W4
zNFNaRJ!?GjI1U3GuJA{zN8|_d#NW?`csSNs_whI0amO8}@A%%a?(!VJva$1cK%DTi
z25O)ITJ;X%+?Hh`3&(VnqpJzi7}(K~;-=96y_byMnkPiiys1>J#*V%J(#7o<ZnW^k
z^DIU+S9#;D-~ayid##pupgkOJ-#tIy+WItjn3Xd8addXq{0D2M$v;|OUA<zt*4`FR
z4|dJZw_5Ol4?|d;e)P2O1GJ*~%_Y0wd2y_!d3^3u@K1Or2$*E#wVftuFHI@KS03g`
z-phJ<lK1jnG)(hs7!C6z`<}~sS&|RaUgrl)o@K*mnD+8smgK#(m-o_P+RIz{kjG-0
zC0Q>Ws+1*plBd})?WM!0m-o^%Yv~~ecxco#2IoVd0fZT&;HbsZ&?b{^a^2Pu`-G%7
z=of4r3=c;}Q$f*gvly9RI~y*WDI!9CsB1grcFo7{Wy2i)378t-Jpkt5rGdvTDyxFT
zn4%Ics7@MfS+ZLm)&aot*a9~qo1KkyrEG??Gl>TbGe%|IP-Wmnj<3}_<;m{EbO~29
zO%o~tlvY+QzH0iufH8G!UeyfRVH3P;#q0zJADi&t`<<qW0wp5DSml9GIRwxs22oQZ
z%}gdb)d^8-c`ZXHk_4DB({x?ia(2wjY9{8w)?BO4o2EU#%wY~6pPPqfYdk)m=Mh2}
zp>tn^f5BOlpdAPS<FkxOtK&hxu!9fN_D|-83rS?5>9BFsxFo!K#>4#DU`Xj8OycQc
z>b%PsTOQ^0dJehAaM{XKado2=)hB}>2qqh?sF9aU)6C(e+`__<qvy9AyS9i)t63B)
zS<lnq7HV6!TL9%!Z+7R-*<Q)PU=5a+cP{t!z1F@LbMR?2L_5(BS}=-}3g!S3JtlQa
zcs+y7awCc&b7_<&sm(C)5{3$))NnNJ>?{9P3_lSW8yA;fu)N~9%|`2j+|X12KbV-9
zs`y^8ciX&wZ*_Vmi81V<JhQegR((I3X}3kOeFv`9x)Ze;{=&Nq%d#rE29z*6tVYnV
zDivp}s*~Jccu`ob>iaIQb~^2zVeo=0V-AvJb&65n8#Lp%_1?7Ja6G_KwC~2Q?*sUL
z_k9B60W`g0n3moM0u5n=&ixQ0-?@$bmT=@8Ux+q692A&(4n%_pw{25Gkq%ebI~G})
zA21iYA=3b&rqvE>k|asmykpccrvv=o@#DuE&J!ftYQ_q0=&~Z)NmEha@!Z02{uw=$
zaM@(HB}p1Qph=SD^~c2mAy8@zt7T1NlBa~ho;|)Nm^|;;UhVohNz{Kp$M4%~ock2K
z0^WgcK#xW*L0|gODEJbe!_6>=Nv^6`djf;au)sq>Drv9^VhOA=t%Iw>=2)(q#nJPV
z)bi2E%7rxWu_zU$E#PvtMQNgxzPg;12ScZSOCeGfLSK`>Dg_4^@nmM0yFmfqk78WL
zqQ}?CA>cU9d5(ykN(I1ng22%*2arxpHIpPQiUb6K05%mY{h49_On(TYojZFy3`sm1
z_51!35W?pZoiI>%Oaz|xMx##3{djKI>inFARTcD|OBY_Si-;nB1~{MubDTyAk2#=>
z(vr#XJT)0%7-Pa1F&R<tH4>#9hq0grCsRKF2!n~NTGfcE0H|uGW}0QqwrAa@OIafw
zjnX6mL1Z9cPJFKjj1rDfc=QNha%%5Nrz1(OyA22tMQkx<=rRQm1U4l}ydZDAeMCsN
zdsM_A9_tTag%?G71I0iAIBtiZ0tQC;lF4|Un2hj%fiY?_PQjQM`kubNh?mfbTF0iA
z6hiL!tV0Imb*w`@_d<QQ%-fFhQLl`O(ZJzD5mY**c9Hap5s&spS-dj9X3LP6OqMxQ
z@Y7Dc0XS+;c0Fe3;uvchhKjee9JTgpmW6%FFgUhtV;qFR<Jk1{!Mr<Jttm9#glh3%
zuzLOpP3$P5#1Y05rfD+o_*(*~s;cN3#TZkl3Zm!r3&#<~wy5jE7<9e-Os87qaHF2`
zksx40_Zhn=RTN3`BUzbvrR)bBSZ2jF7{(Z&QZB;;F>r<FW!|zy3IKp9Wf%Y`RTUK>
z1gLcGhj1ERhD?NF%{j)=F}ah`tdvDyUwiGfFSrS^7v1@6ID73wwzhO{vj2sT!Xr^~
z7m@~Km~930Q%p`I{xx54aF$y?u_Fz6-qbad)*M}{`++r7Y|~6ajLS~BdGdS$$<EvE
z-c$8<rztprs)mk(>HfzC;f|?FlMv|!4j)4pp>ui$!!BBx1I>6SvHQ%$CA%3|JbCiu
zLzkA`wX_qD>?XI~yS~1@{;svPckygHo}r!Sq3B-pGo_~*S~(&%uqIEO%yt0g1l@YM
zpXONy9=JTniVmNRz;F?EDT3u28Z7NNjeiQkID=5{;9f`nQ90TFVQ`*2#&qhDjsQT*
zA?y!K3kFcy>+sCu4`XVSMN#DI4PGphP#2Am!&`f<pUm@W1pvplV$4y`$HL8A?Ci!M
zOHJl;fA&0&<8NS?)t-kj$9aI7&8AQ)3C)TWhLT=3<9|GU2^~R~qubd$L4%;@WLeqO
zC!=IKxTK)F?fMF&+eQT$Bga6e5W63^f4S5fKKcVAE&9bMr|QsZ@dcXK38Mn;v^0&n
zy0JUA{D$LzBHLtPVSRmJfmn(Hj??h1d>1(7Cebw8)pcEWzfqE9EXziVfFzZE4~lFU
zl0;gDEH40y(llaNvYjAs90_ueWs@^Y71A`oaT;aQ6j!FEFrJ!P5zUg@a2zn2q*ZaL
zsVJc9WmnhX4p3Fc7Db%eng%^bRRJ{BNwFx}yLcc3cvsgn-9-r5(3G9U2tI@+&<=EY
z-wUwpEcy|?7zS$%y)&P-S_9YivQgB_GK)pKAPNq2xzx;Pg$IJ7W-%-#p(6=A-wVj$
z3te{4j@=i|%~z`swFiY|0tEvPhX>~dZmlK)7}#{$C$`N4PSUyY4C#bbfP(;FR%W+{
zep)Vbx-&Cd%uZrPDT5a#08y*o@Au;fgCYx*0+^M>P6r2*VZdPPL(|<()mq(svf~E;
zO)#dX^Qo}h6_ipt?$*OWtp*Md!t;O-SCxx=6W)a^G>tAmh(XAlU38Ic9%R<cTd02w
z7B|erY4F!56p~Fb2!38Zl-KHvQd*MzBx}sg9}pPVxo2Fo-g7otTwLrPUg~xMy4|I{
zliTVuGvmd6R;yNPS$}b%*Q@;v0P`Nj)Md{(f1)Es7}t)MZoFKn*X!qVxZB;as&sp+
z=ld(bBL%2dhu2gjoWphsc!p>UKI+q~{z`)WNlasBMEdPzRy<r8$MK^tz3}T_|GN8v
z3)Z*337xHP&is38eSQ7w5B~e}l}hF77rx-N$)%5Z>U-Yvo^Mp=_doTiPyOVaj;u3d
z8t6S9Js-V3j!9z*jo>_uwrp|SCp^R{9McMXSQNE9>HvQy8s(Vf>L>*k*Kw-x+Y{uD
zxFzswC5d7?Y70hqW%qLiENw#9fnNndK%fmIpfL$aj0He|*|k7q83>`gzzd?NC?aSY
z1_408Z5j|5s2xZ^;GH<|{Q$oc$kq=@NJvPY2_&F2An-EUI73LIK}e&)a6-^tJX?s6
zVH8KHXc!{B1+$qZCge<m((hc_Run~PU-}(NDP1CDX-MveOZXA+C=PB7-U8i4;$0pD
zHxRb5VVu0r!=wi|u#|BOA@F1XDho#v42}A<1f^fsgbtd@&B`u*1dw&iVNBrniY&>p
z7J#rWz`(emZkdWC$?8?iGX0uSZza3tn-=4lEi0DqI5o=Dn9SF8(RDXgYnm)evI+&E
zWSziS%H;r<wjHlxnh>n}(*=Y80>54{3~+Vbv1>Kk(RG&-rKtr)<yshY-7V_|ZklGr
zb0W%NJi^rH<uL}DM$1TVf;Z8(z3-MCraD4bjHP^+lM?%2f>l{ER#y#4{(oWEcaKf*
zD)Bx2)wtrp&kRZ4D@#T^D;N7?#<5p{f9?g2eD*552?1)ymIU5pF2@!z`k#_r;U*5)
zU>oBKz#S(i&@%);MKoQ@bc4+KTC>??a<Z7nthwA4+sm+TZEbDOo;7LUs&9M8JKph*
ztDaYW%UjCNd&isK{Ei*lw{K5|!{ld2X*T^#p8OSf6ub$w(E+<DJ2>-L#$X*P&@<_#
zNlK%rCG{Ovl1;muD_{920>9R!-3s((cdbrMIUMdM!FZ(;wKyC^js;-4tyTrLdr8f<
z!E&Mi<KW`MOU-Ce?_^n?Hk!3ik{B(0q&nE2q~N+XhTWC4ZQHRY@s8~WRvBZTRl%}q
zzUA<e&)5zOvuUtPi!2i)$@AlO)N&9)h@i%~55mjfBZwgtb<j?PihJJWDMVSG4Fo`g
zsjmqI5!hL2G*`oEdOYCfi!6nBa&i((4R6pSyw)vuC+6m+r+p86Z)$pOt>1^296EI9
z!M(xBlfhp6unWMMoSa;n{O;uB<mB3;t}Y5crq5(iTz%EtT-gO~Ts-&Kv15-py(c(%
z(%<uj&2_{f|J+$f;4G@3I!a=lJk<_qao#xByTTPedh+DSXROt4xS_trJ?rv`{>wD)
z+t}E6@#ohXH{8%z`}ngrHv0YkmHij>`~CiveeRKd3iI&J=)t4ZrHE=H0UXcRFsZcy
z9YvX)pE^X$)TPU=qZlBy&|n@lDn=>%6985*yi=aTc=iLc7;~D9(^0%?C`t>i%Nva6
zStGv=TC%GD1!MdU%C$Mm5%RRB5yEk~E<)ddJKYH%4s|L7fK)n%{fTY|5hS1cA^Z(q
zhB_!iJ2a^p<xBvUbL107sTNRyB|~WOv31W8H+OPINx4;|lb(O@g@DppEvp5A!9<Z6
zK~U?}Ym^3wSz26JUtd@(naS3hy4`N~TQga|+ZhfgpYxj6yyi8hTJ5&ygQ`|4stUf>
zZnsuemZwUE{|J^>E|{NRb6r;##D>=r1#4}79wCIpHq#0o%F%YT3mrrkp-a&Qx&_6Q
zyMbU}`?yl6l%!Zi#493n#7Z+86*1&;Yv7D%0f~5S*PZx=(iaSzRTXpVIi{j2iUrr1
ziW&nIZ(dxyNumH0uA{K^pFMl_?2$*K(OpYl{^&<P`q2xQmX_`sU3kS6aOc)@;JU5n
zSc<ZSwxU?+<Ka3A`}+NTK)0Sl0qB3+al8ykk|fXU9`@SW+S<9K+rB%1lcB>tQVHZ*
zF0RYl7}SfJ$;|wHng_SnDBJ!}Xl_m?v+#9x<caIgx7#4;^^Mco8ce5$#&P6Z;dM2w
zup5OQVmcg_8AV5%NuwSB#@)^iTq^l~8g6Y319kokphCJ@Os7}PPj8r%N&#uR-KTW3
zEK}DIDk$;{aeZm2%@a0`$VP7t6&pQ8G3`tf>?A^gh=C5dno)QM9$&yMMF9X;@UVai
zL1QpftH({M9|BdHDnMTf%?j^c@k_8TC3|2PjPrI%!<WecoLDrQ^alRqpCKhN1+685
z<48{{$ElBMb<Gf2vuoO1QGiw3URe=<j^m}Zn#I6B<#u+;-w>`#5zs>f&ug}hAuWp4
z3kY;a8=(?(1tB>2zFT))Y_<E5wmtfKxR<$J9~Q*t$;0fJC<7*ywZN}9P*co-lH$Se
z{NLMCIbeM9WN8%b(v8Y7*Zz@_grAVA9z`MNz@&+-)_l9jqi{4lPEnx|CqW3{x(35E
zvFeVUrb~yG3P&LYWNDH#{8(Eea?BEgeZq0Ljo5;z7~eNdhce**mjWnlA-%O!UDQ(O
zb=NmmPh=VJqs=B@l)6qdJu}eQY^F=K6zJOeyzf|yqNOAU<lJ=}o8EBZgh???>!ZAg
zgwkemf82=@IQR^F7A_M_j*xrf52S*r(D3Z9%0)3Nk{%}rs!gp)+E%koqzdvzEQ(B+
zt~>`s@-(jcA`DS;tsnTbZ$h5$vS&kx09w}@<4LyzI2s+U*Qn9yoga@WU1Xc%&2hFY
zWf-Q<a>6jI#aeJ{*zbGD{Z^})_Lh>Q0n68(t*x#ty`<GXyi@?3ea&_i1e@E3#${~e
zqxqrbWi-;*1f0*#o!uSTmSvAN7uCAOfwe7@3tu~qo%p&|8<@HoCvJ+E4aehxP<@ui
zv`%g#uOR&DEXbzm)6@zpj)pwHd{G8eLv|G_NgBz_&!qsXbh1HVV8CV!LZ922%A~E#
z4mSka^SPG&U+*JyI<qL0=(>5DLKt?to+|_djmR|7gj1N;Qjo4?GS(Pujt5Wpeqc~A
zqBv1tSuR+XsXg1NM-IWSefQ`2`bMvh(sl$i>Z5*I6Lz;V9JWn!vhFsUbr=lKZ`A9f
z(5JFB7__tO!`g8?A!66%rX4s21uA7&?{tzBu)lZ8k?4c}1^*78AddsE+nUd_tlC_Y
zC|DjI$boEqY-DjeMDZZQ8_4cCbt^fgl_r?aE|rvApju2PWwIqyU5&kom!dl_<Ybq6
zh342)n`XP%Dkel{j9&3E>13MBXY&O05DIRVqB5$e3^u0RdphZOy1S`_e-vhvgDDOI
z!9q5el1t_YEzPzNfIzjjoN%zRG6)?@Yby0FYnxIFhjIi)yM8PcL7$?hgv+JlF^rUH
z4R-@S(uQS!nzIZYc@VfP<M#nY>bX)lV&Gd^O2!?(X<3%zritsCmfiFn&ZN|quMt`0
z`v@qNFPX=<L8+-l`9RV5?V>zRmY0*58&YD(2fGm3q}1TdW71a=0e!z>i28aPK(!Y%
zmEy6q?*%o?AgBX?A9RAy^2{(aJv#_Gfe!%nATW)$Q~?mVQjGvXc%CPiV#KA^azQl+
zDivLyHA+$eipz-2X2}#2;Cg|g$heY}g5pvM0U(5uTmhw0afVb0O0m=F3Mr+*(R8#s
z>QWGh>9FQHrgUO=|9F&!>(qVUGeH7ShM*l2nJJ~@-EIdM6(k>d@b3eMeYY!fP$zp-
zf$?52iVPws(KLRzXo{CJjh9L>#)At^C+TE5yRBU?Nt1XoJ@*QiiJNv&iSd@=#(uCM
zSf$W#r4-e8e!9z@7VYw#EHBI4=9*iO<MQO@hSBFPja1=?W(~n^8xpH)8etfQ4cHq_
z8ROc7)2)omv<yc`Wm{or*-8q>uuMv?l#!<9Ofzl*CN?iIWd=VLH4{vQi~#`mwVk$F
zsjYol`z0(?OfXG3ZL&`&wbMrV3@XaBZ+J9@36rBmsYFzQ(c~-zW>eQ~HeHw6NuTCG
znNWz5QVY2$7=mdHDWEi!;EYmj1zI}owxd*FX-XLv$`S|^E`?#^Eyw#`;Kr$0M5K(0
zU>_4M1b?cCPOb_9pg?AtCIzqpE+`PBoeEJX)Aqr%a@Ul$EloE!E%0qq30I3*04jK3
zDHn~`rV&JO#5m)UqSS&1Yy}Q(y=!r802rEE-I^QuKoyEYOQe!B&Z0O1q_i&qa-1V_
z%B{c;Msh?ZC<PRha=R?+9XthJhmVpqvfIiNM7@L0pAga%LgRce-`hnlZ?8jh_?8y{
ze0BBg=Hix}9mJiTTW;CeK{#Z{HNeT_%FX3kl7zi_-NQ!Xte{lx|60fMa5A}aX*Ai~
z9K+8WhnmaQj5|BG+^}oAlM`1?CYW|y*RVV78|$kp6D|bozp|cX#g&r@1{-J2JlvCP
zDL=RjzfnFadp`M5@@DcL@^M1KGRcq2aamRanbtklA4=jVt$^s)e<agMRUk#K|H#Z|
zg)A%oXzM-JWU24_vMfS|CId;xdgF3l2!cu8!d8uygZ4JhFZ+L+22J9yvmV&fT~q9x
z1UR`T%-yLStarjVVWw%CEJ=d)x^GW*O|f?Z;N%`RcPF;L-VTz4ndY~?^{sDx%m1G*
z2R?h!naxea&CN5z{#%bP>5i=Xj#Re(GcEpeP92lS`g1*F-2(#TfLy!?<l;r+1uuBP
z3;zCvFZ}xlp8f1+fAiVT{^ql%xH&#^X1s~RXbTwgNALysIO&o-a-NVd$|H6a6N4Kz
zl%hyYr&~?4Y5vN%24L_nE}%-LWm<-*@B5h+p!%V<jZft5pZUyZ<gaw%2%>1s$}u_i
zYrXi(6DLlrwnkxSS#E!Q=sJuB{_>H@gBQPH;QxTJJOc1o2vOMigJv8<2=&J35Au2)
zww`<CePtQPP7kKC0M9@$zgCMt+Sc0I)1QF!t@|Klmvb4UV>d{42qDJ7fj--lamWkE
z>&X-3=gF^;FOc6S{{m+3JCW~vC!cczT~THr%p=K^_`DE{*g15+&AFDFIt_~S1FwQ5
z6vmhCvXD{MXxC2SQRRAQp`m^xPG^<K;B_wfkBfYc@I!#sH+McAmp;d$k*}$jt^3`;
z``SW{1zkk)1ye4n#r#RmwBpPUV61fzjYdrXr7TZt&(q5DwDugS>b*h3b9&LB@5hm$
zK&de7`9cT;ii~ny&$1=0{d(#HY5*oU0EJCMn4aZvzW-URTvsaqrCnF)iK-*k>dXBm
zi=`O1JIfdbh(U-Y1|eb?U<qLe5QZ=r8GChYWqEdPbrnP>2r}*O=g(65M);~91k|Y2
z);4=S<E3FY;)utV1rI49rBETI;iYy_q){B}o~<?b^v3sk48slq65zTigP>MRl3HUl
zYPZo<5`m)RhSdWRNj*fNZkJg`DXi@&+WGD111{!$x$BswX*v&gTFWad5T{pTnhBb=
zH8}_o!(K=+>W#fc8urr1e|Wvs20ERcsn=(RH&#}<n6riN<J?wWtlq!U?E((w%gcS@
z@F+%6tJxv^R`i^vS19DP$m7<t9ieSs;VD!SF#GU?iViBZA_8MN^~WFNw2ZmbUH(kJ
z-SU0kZ?*g5tRJ`gwyhtXjVNNLUx3i-R)0OrvSG%itj7H}`(C@<@3-5Y-|L5vB>jGp
zfaBCx4Rg`&!y{RiWy35R`o_*$2bbadaJf%on3q$htrM4i3x@U~1Q|(xniu^$Qda$7
z*MAM+9=x!Ic;pCTZU41!kJ~2QKepl0{Y!g$SQGqBZ{niH0Xt(JT!vo*KVuGp%IuS6
z5+_A7KtbJr?x_cclDx=cb!?xF({#?5m$K>i$qJsmv$F%80s-!IpSg5p{K`9C(Ol`p
zo!CFF5U;Ti0s0$Ftjj~dN2AdwsxKJ^9DC?UBY#`DR=lq7KG3qSIlZtQtTaHaef1z1
z`d6$GLI@Ih@DzLoE|C%0BV?3KGa&(MHqCLT05ZT6rd1R=15sLLXBm;@RbGj6_UorR
zoeoIlx1)X>;m)CJuQ{|saWvZ6KI|sRXeo@ifVVqwoNXqSHXEL2y1}z4efD#yziSu<
z;Gj_y<!$phz<hD*iE<o8Zo_9pP&rAALy7AE#x({(m~wdk697*fjcGomgy1f3nVamA
z5qX5Xj*w7Wjkv7F2>7DKtO}EII*;d3sRtL8WtM0swjH=W3Y7vB^`SHCCS`I86d2iL
zBnr|dAWSKuFp22yOQ%_p7x#LMay#vMF4%Un?Q+WO6L9RUa3|%Qf$OdU*mj;Nl_rX7
zh1lf634sgF48wIKH8|G>6}7t7OGudz`V*<mDf5oO37b*wwwtyMuGfWoT*)YH4Dx(3
zEsFk-F{bRJ58iQP|FZx9@B#3gdac{dd_Nmjvpi1{ini5iZYmv&0)N=EOhCu?Z5y$c
zt}Jg+p{2x+Hz;M&J#xo`M{UIz8}^H0I?3|^AxOx<SHX9G<95r-jTlB0vY>`w7Feu#
zxr%osr_;B8Q17~rQB2Hk8suCECQQ#|%(pDprD#wJh8IRW=)b3A54e^zO-*SG{<DUY
zAmp4=AZ|C!&qss)V30PzqSVw%n^GxCQMqBznIvsEWk9cwHl*BiV<9PJoL^UkeD|JY
zPj*w)8BPf(KBnVe`?X)Y@z-+2=riy4<!bVJb)$6Cg~g}--`1Q$N5rfw(zIB(X%yOX
zE~oPrsNlKeoTftan^7(3ZdqB5V5pxLnM@bOqR7iZS%(g#>WsKmq-t?99!Izz&C2*(
zaTy7nJ13ag*_pj5T|T=)QAa{_Yl@V6)KDsP!s+%DDp;4&P|6g-P}=A)#sy=7H~7ns
zOlMsoJkN0*1TBR$!^j&;DY(>z`KGhszt1`DC~DYNq@@J3C;-$sI!<jEc!ud)ro}nq
z90e$;wNk*iVMxZ9&6OVpnAYnE$e8BbubZABLqh<7WoQjj0HSGHk~45E%XJ#fTHR=P
zuC$Ugir7CWWk_jgWe8zLoO8}O=Yn&_IOp6k!!QgeIsnQvy+8<aO)9A*XU=1%wzm4G
zHOF7ns}7?)(25ICo*|^ut_1<bRws!SDCI|<r>Ot{W+H-VY75LpqsD}p)~K%45>6?%
z3@z*cks=4rqiLXBFSa?S%x^YZprrJ|$Po2fHf(u8U?))|g-7%j+0R6cXW4v0)gW*S
z8!zSy=M)qUcIV|}s>O)B792cyCLWWOgETIqWjbkEide`f=0BL^#iZz!4ff&yVl43&
zA!LK<H{W#Avz4ry1^^nmDHYPCy}gqs7k^Yq5u|C<-eA+4ArwLYZCE+Xpn<@oh#(3l
z>$fg@p2vA|zic+!ZJPqCBQPQS{P5u;yUPI=46tq;(H2pM0PWt$PMU)85kRfm%BZ_F
z%k;e^B~#M^fHxI>uxeQR0J2ZP=i!4yu~|R)0(mKUJNZ@eRn3R?w2X0qsh>q92%`Ye
zi_#=bLtGQQf9d2A(vxn-^Eg-&w`kY3<^1z;DcRCkSvM-9z`T)5FUc~i-1|z<1nl-H
zTQ(y4*x$;Cu^gBEa$M#yaDnzC8au1x5d4UWWvZfo+i*A>9@koLcAePnZXf_V*{Cbc
zgDO3laUreMOrZ(L2zF?|xR8=_vaBP8R8nw;y>)<qC~q-9Dc!QPQp$q;mqVSg20Xt1
z@_>R63LXzp2)+OEm%s6i=Z+ma_QpH!y#4k!DlKGo?u~DJBSpcKh{k~wlmR~f)?05y
z>dZBz`207%@r`Q?DN;rmawc*_Ed&*Sl<SxpnMR6K4-KRgT+rIyzi4Z=Y?WC99&d2a
zG}wQ+5&~EV7qt|iGx9sI51xd7hEI}bl2;Ql%0`RdbAxPF4$48M|7_(yVv1iV(F9+~
zB%Msp_SSUKP&xRO%;w`N<W)O&<XS{&#2FB$@J~1{H5jor;zqOM`BG8_o(DiN@ZvBE
z4COhIV>8a&E5<GDnr@gjI#DDfrO*RJT1y+L>qvnhL}0t}<C*G%ptX*qJa^8VeuHzv
z41!+6G-KCOe5PF@7pCDz>9|oXPW>S8<EYt)1JCwt&yd|`w05=0-IJAuNv-L5Tp)$f
zD&DPO_;-E2m!o|6ywl_*oHkDd><|h~72FxyNs-@9`ii{B({a~_aLQR};xxY}iabrw
zsn{K7h(H<XVm6Icj*xKg{yyOT{!$-QrAvUzjX3T88CsqsMUjWDr#v&TC|Yrv*p?8n
z0f5riMr0zIBg2dnP6Z+uo`rPIi-1z-Ya_Dg?;k=@<lOdr4VR$VT-xYfEH#_3|K*Wk
zMorTUo1T(@(h?$0lGGLe%=Xh?TC!A(p48k#3a0#;=lpro#nNbGn6dV?5%KC;Y?E;r
z2W4SsJq2gsP~k+}93n7mcoLV796fsE^yY>@*X`VV<mi#32_FmB@zu56-Mm1)wz|7p
z<Or9PR>~~PGb?$~zF8^#BmXzMd5(N#b$7VEy0VMGLc2w6al?5Rx03tFGwwE97D{a!
z=RMFIrO@!20`AiTRuSW2Q!x)Tz8FPDbm)vx;=s7?L5E+BJTjehIsl!{WP0TB$zlHs
zH{X2o=;qP0H#axkN$E@zaZ-5JsZ*yqC)?LmRh3rh<#lrXr}&G%P5<iAXms=F=AXao
zuDkBP{~3nUapVg+ozBVjsns-1tF-F&(YqY{=fP*uhcD>FMr%ZOrsO*E3iAKRzY|iO
z=8M%L4H2V3%aI&hToj{{rTI7H3xw5tLCn=nnbZL;B%~;!OsJfQ%W+X0gMY*YnP(r6
z)W^_t;|J0kCKu)TXBeF^h3r5F=q5qkz)X{8bGitT14|rDlQfyXQ+*ol<%?Ns`Zhyo
z(-6wK$pC5^K+Tu>w&D4<;eqFCEAX@#eBP3VV@kt@7ud)w3z$`)p@AA2ud|iu+RAiA
zC}pqFv3mVB0Cf9<#DTsa0M;VUUyjT1`g~~#yHeCnb5A#?l}fFI0BRVf&*J8tUK*YW
zKso1BN@+We)Rrj`glR>tfl_+5{_>U?3ON@hg6kS+n3jb?NZ?#3A&^SxSZR%WrX6~Q
z6Alat+MuA%D$9_{G9>&VH4R{fiN9-jfo-^<{V^->lofjVkYQWWv@P|1W?R5)3$`?%
zp@HfvOxISX>*zNPhQl<3%rH^_h=k}Qby=%-I<--jsj2UG-A=c%I-T@N8z^ck2*S|y
zOkW5FTmUGF767Fbfl<nZwEWR1RW!C8fPncy9Jwx)C^WZiry+erpGQe8<qB<PnvQEb
z!gFlJ0fIZ6z&GvCHwh)=;Hmq>-xX7GQ+z>hY;5WG*a<7>Ufv7Arr!-w1l@;2ZuIG8
zl++GB13wR!$uYk*VAKd@9i2C(p!anQ=%yB(MA0Z<R_3d+BA7`NDa)!8pafcFKp-Uk
z2!Lr|s`@v$DoT;T&)K$3UDt7pWe=8@+7z3O^`cb_Hm_QpdalcvbJ7oS&>!@vMbSL;
zh@%ZSmdG>1WcWMZuPiqkTqH|9z~$xbL$jjZz5K)zPeg(%6}=R@`O(#)U*xS8G?sem
zrrL%jr0Y4mwgFKXg{VB&IWDx}ycZlNNgQVjRra62T75Vi6id~K<z*p@CEpezbFhE#
z|MBsDL`?1@A0Vh*XBTBRUb(5V1587VvACUi`@UecsM2K0iCfBY@@lhxbxexe9A+V*
zEMZd;?4ePlS?OT;ev>lMz6&-{Cmf$DY4Co3b&?mz88>OO*=kadcVfLBdvM8+QnF^N
z)#{aiFLP+8yR_8pP$88s8}&v*f+L0I{lVJiXvp3}T~lML)oL+QYq_oJ4Ji~KWZ94d
zDhh0E{qWBE2B*xlZG(0?oi>yD%K&hkqQU#U)iTei1O`fL4Z>0=ae!$WIq+f&7+9ud
z0+UkE;b=S_4XH*1plI{e)$N_lO^!ejY|FBNbFQyIMuDPb+cp9+3SbzvZ5jZ82pq#8
z3{W5;ga|_Hbw8Nv<OcEr@&WQm@;h;PHF<s$njdFUK9u%+6eF7!bRaoaxR2PPbqIbJ
z(eW3IErnG6L9q+b-m9D{N^)i+eqJgAfcF3LLPlkzyeu0fv5*`P4(Em3xKxG&P-6yv
zw!Z^k+28Sn5W<JA1VRWA>_3^*8zwiwRW@a&sgE2reC($t<;wFyq%4yg8=DGEBW{oQ
z0mKe;HHq8%FF>v0nKO#N_1i!hV+=GGt|1uU%G#={>pbvVttDVA1f<l3nb+>PY0atC
z0~f^pHvyDs^||CY(=-smpbM9T@b_Q3ueAm6cp$`QT`B7}M=EW{wt2T<HX6&8Z8_bZ
zU>vE$O2E}LO>>-vp<z>`RC?BTHB<rB(0!R6LBS3C-+^rZJ0=BYDh`lF(aC9Pdmd%+
z84ZP+T=<&|+LLJmAgy(KPA0gQFu@T)0oHww5Ipz~+wSxYBp|C^IEP9EB&c(^QL@SK
zq*8UMS#fD;c_ocavl#w|4|gBB@`^(vtG>Fj$mfeASM44d4gvmmRj<3jc(Ypkn0#}y
z+P-Ufsau<r*}z?IG+;D5a^z~;!cN!EVQg%^wQYvRQ|wwIISZjL_>gJom#GE!UpDm|
zD&-#o+@=YG#n;}v$bg*L-p&R%=pQ<C_V_kuHDwg*w;VbI?9k55Prgu!&SF@vQ*5?Y
zi$;?H?@CI6=cBEoYpZN|X?K#pmkR;<-{3Oz2ix1H&mKCIW!PmRmdpowc<0ue4jsb%
zw>`u~0kmEpuC+S=^;#}@lPN#k8jUzEEgjumSz)c$bBYrFK?5O#AaM_#f?tA5<TSaN
zkZ^Eyx-?>qu#&$I#r5CqX=Gl;=4oDn>14Vnd}IO*ZC8dWvhbPjZ;s0)&DU`z+H9;W
zuPqxI*C&(ZB|qg1lx{W`qt%t3;7Mu#bK{r^fX$8jC%w(wG_9mx%wfMjfJ?U1;x3>x
zOy$VHbs!1{xzJi^>10_#sadPX34mq!bwL5BfaTrM2=+gcAo!kvXt|CuwZVvaa6n4D
z2-lDyStpN^pCFgW&yrsR7wRyB9YRL3lCqR##pcS%VLn+2$yQ}0D_KocuG7$#Wp%jZ
z#3nkYtGc&tt7?7x<tiHpjyd^ii-#{{QD4f`YZp~jR@Fkvz8YJpWF=%s7x0;7c2;&!
zhPKI)?QaxKcWAhngFADyC=;1(T;9r}6vYnd=mYH)xs>wk;O^Us<sM}v#vbLr5X6g=
z(hM`2;ehU0o4s1s?%nzIR;y*V?EQZa!;rP8cAc={d4Pf6t(ztVTDX=)=`lLQA&zi_
zRoc@Dy^_|9Lu^U?$Xc`6)V`}Vf|OohHt80&sHqgjLI@QluTx67=|>r3ORBeB>l)2m
zw3%?6cGI#DXpuOqXQ$m&-sT<-8l#Z4C;+$Z=90_mx!8u-6%v5)fIdsvQfM)tN1-dY
zkd|R0=>J)()s*+OR;xt=Y+-~A_Pj^&g?QZs@mfTDF}~Ov4u?6k9m7Cyy;d4U)X)l`
zi@>?tWGxJ^g%OQkfX}%JTfBvLP!~OQ8W95o!?0{^0Q%5TK5tQKoH=~>aH#t0d7dxf
zmA>!O0AGp^K7>b)<1$#DOTn@P^eDA0T;0HH*KmC`a|;|5*h4T(lhTzXJbIj-2g;P9
z6xx{vpxmG}W}!d|%5WX603a_2A)Kg#ueM$HdSs29Wh-X^Rm*hgCD3i-MKv|_LM7Eo
z6f6{G8<oFFgQZo-H-~73dtZ{YnaY^HA;zZ9_=wip^j&rHQBO+w=@2oT9gmdjoBG-?
z3{BrtZq57o`FtKChV4kYzS)R;%VOLJhe*M%PX0f*yL-p&M|N@eGb%Xad7i6G|0lq<
z9SlNzbm*JP^}ab63|wXS4H+K6Fu*}zD0gGfiIXT)y`zkS-A=UW2OD`u+}*u{*xWzX
zb&`=&<X(wc2(mH(_ZmFz%w2-dMW<axv+hA>4?}G*9*;`<|KIdn>DJuvO~3x@zaAh4
z(_@EN)uI0p=cXf`km9~}yB$f_GZQ~{EY1wZ!rm-E41)ET`3D?ndUX{J78r!^{LD9$
z>$<Ko{C9(8I|I*@PTm>Sk}yz0^(zPiB!uXLeR4Bi1mIm7Uq_ynKd=52`6BsqLg4%n
zb99pBab^cf(^?7hvb+#go~B8$ka;R}rL45(5&}e&t~W(tVom;{kfsQ<qn$7JRmwke
zv1x5?%`3#~I4-kZd|47zQb77q*12jnU&uU-iW$4b_zu%JD`)c#4={nr{j1oDCl!Uj
z%Z17}6ompobXE~o{Qxiyfu`5wc@7|y^b$i-3P`1{wK){mGiF<i12Aq|j2+7J9HdlU
zY$&8i=iD7<j9WHibKB~7ZR;vbLdZerVPRU3Qg2lh1%irwDKjt)ictJ7N_Fai69^k1
z((YAZf>?}T45w3N7w?X3#<VcaD6uSQ0wkw@em4Rw|9eyTv5-OpyR%(?HZ)Aj>X{T%
z02f`u0kDl_lY)=nv5hDOtr}EPNYFsz<cn~j^8bo^@Gi1PuHoD7X5}&zL|lqgI$u(G
z7Fk--!F`%kvYgVbap^FX6jk`4y!8r+;?U~a`KLYWnYUki$JX}N?9o>1tQY>o=O#j|
z_BPx7`*&AP4jxDbS^D~ZtGWK*xmNtydcEGy1`l4_XuWB-nhb}wlcv)Z-(^%q$Btj;
zxqrU@XX*0t#-J8jz1`KNMSD5`HkvEr%(H{!`sL;2xqwSAHx*%o9Q-F<gx3;_^vF6n
zO~@#o$GjYs^OBb%S;;Cd@@yc5oR*7f(ZxC86cxY#v_j{N{6VN*^4|^?6<*xGynh+?
zVDF2Yo15+R^+mO|-UiCfTz`K1JB{AFzv0#E?cKpkPF#J>*|Sq9myaF4_S$2|R=n^B
zi^bxrUtN6lt7qHo_G-Oeudh(LWteBe5I5SXZR6&vW?FZ9r=W9WGz1t9j|MIwgy6w{
zA3TK&E|EI9qO|~BE-DWVL9XZ+&56PZ3og;38q-RH2S6)cjw29$l4&X7EBjxCt^Kcd
z(wf-jzSn`R(LFrW>-8Q@!z5Uqd54@ZJ{9Vx^DcEf$3$IYcMG@#Vbt0Gy-vr)KGz+X
zb)pdVf7)@JXS>#(y*u{0UeLL}&7a3QsQti35y%%QA`bQs4)Ae!71<`&ke?)f4+vfC
zDvi6*%Vuaz9g&Gnrtph2$SjqTiEYJL;bJLGWGn$g#2qwYP12-Fd-^M$=M?~5GEL%?
z;a{|v!aWV9bmDQ`9|8=*+|S3-CeSWw7a6bX0-s#KRpHTNXevI@feNE3#YS-%B%m;c
z2-6UY#Ym-H3`$)ED)j^Vh93^K8IF@>IVkfBF&5S04es_=K~iQT1uk?gcjE+-xMhsc
zvJw!5HoBN94AX8s#G7iCi4@$L?Kl8RJ0CM~qWf3Dvxa?2rH`Cpe?(D*eQr_FG#g+A
ziekTyR0ZI3-w$MTbN>|rqTx0in}P<ELP}2>A_y=D`eqm?<WyKK>3V>c#iR&LQ(K7C
zuhkeVFHW60am)GZk8?`JkA3t<9yJ(OZQX2yVCw#GsD;)o6G1A)|25H^GSmo+1#Psf
zLEG~Hq!-y1Qkw!8nsFfj!?bg%2Zo_76Op5ok*zhP#!oZG0Q6hlLKy`F^|rSmV*n@s
zl^PB&7{EEa;SIn!2t>t{DF6UC<%}W-(@>luM`oGr#P@(vO_?D9B>-cABLpA_&W*tH
zM1wPUxQHU?b`LYg=mmf=lS1|t00kWZC?m_7!hoPrHwdAG96VKy(WCX~jY)khZFWG9
zSDG8CC@ppt)gp8UI7rZhSG^T%wSviS2`=r2<~ZdZhS3SX=lLA=_JBum%|8)^xCc_!
zH{y=4>uuDfgf562SixTHALK~_h8bjkb7iVDq{%32B}w8d4N4|qEEOp2VU`#j&Tq<d
z$g9Y^+p}!J*Oijp!tjBTZI&ytOs3<`P6!8_UJ2;}vQRQCMkR>%R@mG{S=B#_^Ri05
zqc}5&RjBe?sp~b&rfHgH)6{w-K`U_429^AbDgYC-20IgiQL||orrETzdd*T&1ubzz
zH5vh>E@e@gGA)zDrRX5_!;oGsS5KSOT}Q8rRf=nJ9Z|Otg)s#<D*+L@p`A><F4vH*
zi*+Ssr|x;0XE!H^0uBQ+%=DJ%>VFywpjyX-AN=6p|G++cl_X@993fYc=k;VKjiVze
zG!2s?ufnd(VCh$MprR!8cElvfO&?Os<GBWRCyZj?9k3ki&Z<0{%tkDoONwvUHRbN^
zk==>bhJE~o8;;pp>!-P#c{eUEN9fqx^S!mzWAD0iV<X~@jsDWobslH#k$w-WY~vYb
z+j~cChXHjQ#9_9+o(&N@ZQs9Q&2v3((=rU>$RWcpto=LDwngiTb2qt+x_i638ygY!
zufP5tms0=2=`(F<+w|JAXU{r-_E{Uz1{>+IZnx7pEQAN{nOPJ8MA7Vw3m)MbmmxL+
zJc=h9kI7!IUM)YDknrksRV9MNX>e^eiv>MbDMX`8wbe9jqsstcb=`G*I{plJ-tw9F
zWY@CbM^2tR8JsRW55TgzzkBlJ$@uiL=UHa=S5KZi8J;OT*R;C7Ij6RkTUvHqnEX#v
zczVTgEwc+(2CfUYf^FMNw}R^iwr#_!Zw1GRY}<yB#v*ys8-L0|n@IgEt&u5t<`3ii
z$}gri3V|OlJ1}BvR;f7K#)=@W%CH`gTmjk{MENxaNu0Fuc@|nYy&@5LU|E1iSmfjB
z<QW*@$Jl{k`YF1xh@&*dk-5AmoZRsFVxG@GM1@E~!BI)%JZf--$d43;0Rk0RR(Gr&
z6SYx%Pp+Y%hr{cx9u7?dEyGA0z7)(QKA9XlHkt6AS$gdNH=>}HrVKUIgA}!jy0)WN
zEC8S?2x8IcbULaXdjbLe+nCH7ikOW=D{;5Q))=K20GJL1fLE<0E1scJDZ_dm(_DYu
zaHtI|OaR#dq=qpZp1)~%iG4;<YSCj(w-MwTU+%9{%N}mHo=QE}ZtXouyi_D{6f^8@
zof)~>f?h0eMYIrX$axv%<OJzuSpA4*1<_K4xBBO10yL!*1R2YV>9}mqOaY%~nnw=j
z+(B4skC^TBCQ0m_2;JiD2X3|717kccOKUT$8x&ywbIj0LPigAds8x4W*_5iwuIpYs
zi9)m}XzF=K_gt51K=V&+Z-qIO>14TM!r*kRb3BT6&Nb>*Uaw046vO(+$Oiqs*b_4(
zuA@-4)iJ(`PJ9z#+lEHZT|j8llEgoUpF;mYZ`Iu>WTM(6AsV9suJL<Xjr}8>&-tE_
zix*$~+~+>`xl8xIruNT1NCJ)@?#0i2?u&oC$(A02%|{jwz5@RNUqO%;?&(>YU5A~!
zg&y2+@c=ETwXm<}$=#^fUINb1C~7u65AQ#dH(gO}wOUG#Mq3xIyKcVVkY$GtpZ!&H
zb@lM>@~T#i`ROxP|4P&I=<FZIEDBqH&zFiLN6sFbOq!!GI&$RpD|UAJefq11H^;rc
zvwHjOFEZQhqsPE>L^jBkyeA+o4P9C@u?j*15($XmDG#Xi3Q#~dAmg)s<HgAL5XT{N
zL~EUuQ8<32YBq~eqhT9LY12{$Ud0&aHyDOehM~2gabp;14VY>Dq>?M8dWfUEGK|$`
z6QCA>)~2PEGVNOgW9+#~nTAq^`FD%t;?LT@xLA9V&erV&eY4wDjP_IowR1O?5uaSX
zNmxwuMY7xEm6;;>i><%-i|s!@Afs+C41%!N9Su$J?d|RDKmUuZzxay}`F^iA9QJxd
zcA0<J-#V5Md=9*t%*pe~<K$iBXBe)+wPsiuJ{ap}>f`7jGj$iY!I7{C+CF}oIt3O7
z(hQ!tEid*~Y2V5&dSp>8iqsz37Ib=?l^1^9wkSqv#>-aWyDb5yuM-sQ%fNTbV(IYG
zd{NA@foY_*Ex$h)jasW|YJl7J0D~xiO+~>h|6B$^V=)}rc2MJtA$5J9f$KFJ%PV!W
z*&L<K=4jYzGTv*L78rq2aolON+v*2POG_?*yW|46FVq0Kr2%y7r$8kNKqU&E3r52L
zFd7EDeb(*Leh#hH>UeD}T#IAIwB2m3(ir_X08d&=Ca6Iio37_|d)=Vb4iIz@^g8vr
zV<|lx1_4cNi}N(;_Xl>G2GJmI$B_`Wwe%3UOD=%B<iZl@)>B%jC&}-71?tXvy>0*)
zbrZlO;^4o@MSLaLBqztoW8`u2bL1O@*bWFfAVU0MD{fefPZx!pW-x!@(H;)3v~pMo
z^$CRVO+`8_6MDOB6w0nSpFsw4nU8I*p}Q#Z!i6Gxpt@DLC~}$PavGCoQ5Z)Tr$x@F
z3QtfbkrxrH>MPc-F~<o<Ce7+5ZA3Ol!L?~p(Q7#le}51JCKF2|N4RdoQql~=f4}CM
zYbbh$7;2s|7MqNYBPE55w*%o&tz5V&3`2!O&$d_-)IW@yph8Lg$lx3eRG~sGT(@zb
z0EME@0BB-TI`;*mTDhBT!(d8zCk)2_A~a1fUIoTI;AknqNFj>TmYFU$!VnsYdLGRj
z50OF_7yxBp*x-7ui{Q^(!-Ro)jW*n;NyzS#p!PsYy(B^P8(|1n0PhHn6bw7C9Mgo>
zl4F_xModUtVZE4J<{PNcL~-RmT6q68nPq|q5D}Syva>>tnXl3|=ls#<*!Mk6lytse
zKf|6YUnc(Px2w2rb8~a@&UX8X-0^l{W0P)TUOx7#@Co=7SvkiAQQF9KR3p!ULRwm|
z<j%k?PNUK3o_=Ya_FAXWaH11~&CTjs@&}>X+#H;U-db~A=(N|?+8uD+`n5$KC)b+S
zC5iLm8X`z?@L61eFOtLL1LW`EUaVo8kT9>JbWx?9CJi;V1KW8vyEqiL<>RARq?34D
z4&rf{7b4A5SHY7fSz7&*Dl5m?SPfign!4m<J}$?FkmGU^qv>0oOea&K5Ps%3TO7|T
z=kA;iS}5mb<Dv-=6=NkQTzKLcU%blYtP*loE#`|NVuZ9-5%oeO4Wf#)TvWMiJ%}3u
z2qmIHp}W$|i(6cV_`KkI0z^F(7R)yZ_twZLj?&3=lB@Q4aTM!3c~S5mB#thQj`CuW
zJ|ASBjJzJu<)6&TMU|3c;Z|5*;WRFaej%$x#z0Gn6w)V0oDDMJM_UT%Jb^8t5sRsa
z#WblFQ}<xv8B2_x=q`lboRTD+q+3y@@Z)l+`?XpWX;S6I1?n<AU;tqB(s0`rj<OK|
zweWx=T8M_}xu!2T0`yE<rT|~}(=c`&#uP(^6o3N60plKntEXvU$p>)bW{)#OimlpO
z7aWsI2-@|L<etaswwxpd`1=~A6cu_cH|+VolBTHunxQ#tAq6%HO<QuNM3CJCNOr0g
zwnod#tyT#5ao@6q2DJQ`h?<m2ilz^lF-qE|GISJalQT-U%s6T>ju<lGP|B$E`!OS}
zJl{lsJ^+A)s6eH)PCY;bXeR)@y33icyZbLyP8=Fsd8XkS4h%D(T*?_UE~UVz?KqSo
z*gC>-<ha=3_JkQ`NU3Wm1jFQ1DF+Z8p%`O;GW30Jn_O1Jl*8)-Qxkha9oIIwp+PdC
zq~};VWyleAQWI$!Xhms8D@$F}vn)W@Hw`UbDFW%kosGmamTOuA*otxIP}U24G&j=<
z7X)Hdb4?4(u#Old0N$|CN_#K!wT`zkQZj}J+-FQ1^wmrO(Aofi!15R{r?m>g;2dyy
z(0cD*!vRrH&Hz3cQHm&NJ2ab}e(JdjK*q7}wL}mgr^8Z9uT~$nYK$V7CLqO{<w@0S
z<P<hJa%ow%wkQBH>bRas5ddsMgH+1%C4i<3!9u_=uqaY0w3MEf%C-&5bT}Ki;JTg!
zpxAdE&OAgw=>yQ%_Jg2peB4&RgV;BuP@3bR5<pKQ4MHWo%TyGW<v2E_fTjhAq3hUO
zc)%8ROPOccKBacxcmUL7hUW(ogwhn1kW?jQD3yXUQ<IFK+N6+CUAYMeTzRI6DAQ}!
zr%!F5lm>uc)+ur>g^NIKC8W^JI{30}yAy$nq()ZBNpdrJ9(fbjDOB$r62W!SG)d>u
zeM2}kDF%|GyK8##4ny;)bzD-O;k+k)!XKH<W-~XA{bg#Ju@}ewp4KjZXRng0^(&{-
z>C}s3Z-ts>;ze<AY?1^{+J-u^y?8%@i(>6SuedO@i>>d+0iuj%X&4$3(0}Mdjy4R#
zwn;*Jv+NH|r2ms=U|HD{5!=u`2!iGTSs{izA^8U9FT+#tMbakAd?j>AT1mq`@yrxX
zt=N!GsjV(>z|FZ9UI;?z%Gp=BEUc5H*+s9L_fOezFO#26FiYXI0GvNO)Mx*o+wF!y
z6O`nP456=O3{|b3E5~)d+V*|(6TypCujq@0Witk-H3(tf?lc;441%-sz+*R#GXd|0
zMYE;#Yxef`gk=W4wU_6)^pb=jWu`DkzR$xXmhf|0Io+pz{^x(b;=AK|QUk!SJkJKx
zs5e%>ZXrb}`i9Z;A&y(Ec&pRt)EoyO>Jvzi!&i8*Ti7Beev7g~lp)yidG*zpYF^2y
z8iWQJj=Y>qfcgD$T9!9oam5u^9618-4whH8Zo1-%jSaX5+U?EFs*|K<;JQUIyKv-a
zqgnrlyYC)cvAeswyZh0t<&~h`Y#cpuVOA8b8<=U*S!`~0+HenSY+P~0O@Dp&-FM$j
z2qn?MQ}`%cB4^3%<k^HkUgjCW4q~)KAcxcm=Pm$1rSrrfM@*CHq?*J@I+lIrWHe3E
zXu4o5Lp&Wxs#QfeA%j==)1wWCjsPfm;)GNHM-IVO6e>7z9e{5`EdeqBCqH-PRcC>7
zNKyc>eZ2Oh_u&5jN?bSGK-P8BFDI@GX+KU~C-t1&!b_oHg6o;4=YrXQ8*jL99-yp4
z+5phD4=vyClRbeG*2Ikz>LtK$zGMGi!1wEQ-vjWydi_#+aNH(><3R^)?xL0`^QN~k
z|8oWLMnnfLk2cLW!J0oiGM#oi@Mpj<2-xB{Y}c<(Tmq&iAC4Aq3EJ(+WS0&GYis>J
zg-&NW-9?ab?EWPyy0ST#d~q=v;<1P?!`pe}v)T8P=4C45d7SW}Y}4Qz7_M<XFEe=S
zTi^QDx84QMzx(dM^@HF1&HsH5^xpjD-m6~qs{7%3yn*hMFa8Me*`xo>!NGuhaP1A`
zPVyjm4tcRBeF*1-)kx+vfq^@UJEp|7YbEv$U|x=7A49^>G$W0NpH;<Z?yaW_?!aBg
zZ;rd>`0?Y%-#_$E5X4p-MSSQO4x;O1`&SFoY;8UJMK|2A95kCD<zVl_EQLF@|IyCQ
z@9plsV`t~=;lqay->(p9)-s%=-L7dY*4DD)^V!o-$sRWVbZh6Qg|mkb%gXXk!B3MT
z<OI1&^6ZN=^}9lQJOH>3$PNaUNw_#P@Ns;N`(+&3IHagVjT!(Nv+x2_oa<SKr{4bd
zx8Gjt^=fq`QyNCY;cTs5Hv{Uq?V9J?c7j@|ZY||3it3zgt*rV8aNS^Yb93__kVdcZ
z(|B!lr6Gj2tw9)?pxOwP8qG8{Cg;zeKh|1WULG$mr_4FY>}?o^1E&#10G?NiJ&y^c
zsAZXHr_*h4esp6!K-ha$v)OEdTFV%WzMYQCNx$7nTZ%ekJh|TJ_p_|gG;OZQnWeU~
z&b`nT<W}-1d20l5@d8G53YR(si)47Lk?Ty!UE3B2f9W{PrW3Pg7Q!ww%LW7YI;t8G
zIN>oUX+HNNvY%;3krcyh61XmHFxLr&zK@MwuYV&*=`6QeW_LL1m-FQ%i37je$+<W?
zHd(FKw}pT~)@*TXV-Svnc;Wu#Aik$tWqJ8}!j4_9_kg0+O%i7CB<VVy%MzvJ{tt~-
zD|c(Pw8oh8ZYP`3AO4HHQ*W4-`G)=uGRE>oQ@)5%isg`bzVBGy^uBu9i<~h_jtlWq
zaOqeW^aT+9bTQmmSb42^Rx`5qjGHz$VSVk6kA3X=Mb&J<?y2X03@*LsMK7x8=J?3r
zaY^@}*Pl$cZ$Ekph&uT1gRjD0z^93419|M%$ln8jeq21nu*&9A6oa|!_65CdLF_T&
zUtGwGY@o@-{t=H$K|igXxZ^W=DGx~_xo}$AECyPt)OYTRY*3hNA&%h6d{!mX-KTJ+
z-ks-#uwm5cy|9v-!f{3z<CGTuPt2Z*5B<<c=TJt=1-+OgQEqDvkRs><!BSyqVlZfn
zbj#gF)3VSoXy_V3{7&qfLV#^K)HK;2I*5)7;C{dba2-Skj;JsQlZSvYe>?^oC`c)k
zVIYE*$QU;)TiYkc0AN`hEE@qW8>C_2nnS_!(DmDQM^PAQ;ka$70Bpb-0HCBG8qHp7
zZc>V97@SE72x>QLB?(8A2mm!KM0J9aHQN#U|Cpw|fyI$Zr9=>fff9_v43KIrG)3xg
z0stzRujiKSK{ri+Q7MBk2n05Xtbn&02n@&MBoqum1qCn-L@qdg1j2d*U#I)9&zSL0
z1fWgZLZGM&q=2SrA{WW$q&8R%?X}PP+;I#>xjWgfj)MS@-fc1#_>L2Bp^Z4!2Gnds
zNVyo=u4Msm?g)yYmC`F9WCVzI4YYP$KNQS$Z1=-GE-1QIl0=b+uUUuGN#Y*jJYWFK
zR|*7D$!^dTso*^~Nwg#~;TRr8Nn*vN8vU<$5#C5lQX_3L#g!iW<y0qIe8vzCF(|(3
zm5Gev(=JKbd;SYKE&ZEszWL_+uR_@Se_6fGJ_<=P{Oc0;-vs^s71MmwxTn#(9^SbB
zjO!nN>?#dOIvS-3=)L=tcjKZ$>~>ei8yUQt5FpOMWthMh$&ipLp2yQN*A17El8>gy
zN|9%I3RAV7>mIu~c-Z%gx@E<&_fvTM_`ARU^{;>ZzCrH$cq^rdA6&iHm(PLU`ej3M
z+VtNRMO1R%<vC?a#ASBc(nQdt^H7>565yGqPGcO6<PaZ^N*k^bNx`o<cXo3V@zkkj
zy!+g_bK3LlLt0;}q+lbS6ZjM!Kk>+7eWOpM47F_t&IH$p7^TV1&Ml9eIF6rw?6Jpe
zO7)r$hq(~?+scj*LdO+jZ3vF7k#%y2T#325pd1x=byInnrSZc-g8V^y3$3CB-}fJd
zS2ZB)+2f0sf9B$Cjf+2X`C_AS+ikZs_VzDcym)c{B9Mz08y7D&@{1QQUTj=^@8#R}
z8t^k$qw&Ry7xlVEeFrYWTgVQ%g}jJ`wvEModxKJ3eo4eQwn`ZV?oRoirF802KL5@;
z?{u$5x$`S+13-3icz9HAz$q@QfbqbzFCOPDZ+T101l`xqMv-(Z%Q9A04XeZR*p74F
zd20Go6uB5=)O<gKY5Qpu9CuxXLK;TUL&W_b4w&&SMfK8?3@NYy+`hiPZX}7ZJ~Hy$
z=@Y_;I{4~-*zc1J3BHXr0D5AHrlo$6PGgZtrXqN~;$cdh7>Akm0eGa5Av9OWzXYx(
zKsb-4L!ePOj>_boO{wX@wAo2Kj-xmMZXb{1h-@1SX$pb387H^>lQ=5VGFi?aYZ{l6
zIQd!Qv{@!hG?pZ3RF2be8l~$gO`|d?$8l07aWaMB>pq>7lj-DMZake#C+T=PR;T~m
zmf|rx&23(8wVV^b+Qsx3ql=*<<LRVaOo3Q$yPTA>YF3S_aXG8T)vTP%XVqjro{y)q
zYBr@PNXOiUMT_~ARcGa*oRy3DY+9AGYCNCJt8!e;hT+L5Q;o~<d^T4)o6hFrdz?mR
z%kZ-~G{H<+mE-w%7>^=_^qt1#Y(Ack=h1vTpUlU(qsQ~vJQY_JeplJP*Z5#-!myec
zUmF@eW|2;&^Aec9izAI4JE<1aNgR8}MwGIJ$#gMaSf#+d-Z1*r#ypuM31bNbpf604
z`}u?ceVj5k@Q!(vurjMP8nxLnMJX9)OexCNqBU>e23O7U{hhGAyj%vMKK0xVZ;K(L
zPdU#+C(FyNQE+m-(c8?r;Y8gf)nNShceK=v9F|aMk3|6>0ZkJ@8ithVzPvJ&f!0(C
zAx#57U>j({zW+`7-#}*+D!qcU(BlFCIwt342T%wW!Y-^eXGgEc*Ft77%(DlzH|zaV
zoPM1ze9h~;@~y=ZdRR0Xdh9o#8_i|7S#Q1}y8MSAAYJo%KRqlWi09wHcdiBmy#DC^
zf2U#B*ZiuEHVmVE71w?@tev3%wDI<P2OIqyZe!B6CFuzQE!_nz(+=>dG8BNmy@8*y
z^x!`a{v5snA0jm}I-{d?Pb_uP7N`CJ9k-+F>-<H<jhS#wXIj(Dq;Q;&FqW-$x8oS5
z>HFw@u16q+`eM7=wJpo^TVq(}%1q)UF&)k#Wv(yo*fq#{FWBA1rr>ao^nKGZ?QXZ#
zmP*JV2m;;m4byab-FDe|#Mg#4!YHZR4&|Z-bocNbcO2fObocNbhsLHNgb+&9!B_As
ze2%=Hyo0=#5XhxS`FrTj%S9#k6OlleiidQL!HL%uZhj~+%n=w^6!e)I`2H(gBP^uz
z@=-hcRr=OC^D<dyvZ!W-n{wz96YKaiLgIp(n)<kR>}i&H{cMUb7;GDYX}Tz$uSI?&
zMew<ywF!`>ole47((a@+08<;9`+(_@ya4ESr<w_4doTc;&aOADrybivpK6l_FdQ8@
zdbMd^ee}p^2*FnqOuamO^T15t3WG6Yt$gV0S@-409*Xz&ZaKBJ)nnS=?djy`nX0Pa
zq3e+`vK_`OH_r23w8HOfc^<nKV~#yCqPo7LUM<e-O{Q&bXx7`>I(_rrUi=WFFLTeH
zefnh0V9XdVuGu?U6zrV<?_@=BbnlwQ_@^LA5R(`;0jG*?PxdKzJ6s~m*{MSSHPF4i
zRpq6KUE5@qOyh(ga9*gM!AaY;^VwED0vP36i=`vSZa*@av?F1DTu#cP<JGkxIQEkD
z$Rm%ua8`qQeRMI)AkVkA^Bjt!$2<ysC{eVMHXHc7TVc6d)*Jec$0TG-UPNjZV1l6<
zxVamRz?4SwvYdTwXJyRdkt<%Gu?B&ii8M&$Bf2n?<B*QfJ^k(qYfS0Xk0PgOn#hx+
znS~*L7auUwzpxD;!>Ci#8-@hzbf)Vy0BQ9b&A!4WNEQXgx-LMw+44;gPP5rrKkh%6
z?CJZNEZ>Mf1<&6c-?jvv>j1>jFiCgXZJ?_F%(ht?_oR?&fZ*93rIgWb7k+n3TL+(k
zr@>`%g4{-0xoEtY>v3C<`}$Uq6tNcxd?f8O70@J#qq#K=r)d_UDljhT!-)WJ$7~f5
z!wA8eE-y`e>o7d);puDEHz*kHQgL{r-7x{yAgygxTUEz`cP<YGg8AM`(&;oa+ZL+b
zUaZrpWf^AKABZSAU*z!^!?pEWhXeXouV0eXarX^p&o&xxcy-OSEo&pH!?U5+Kee&E
z92*ccR#w&)y}qvOJQCS%IT_KAPRp>&q^wBK+aG;OLz<RhS-^#leB>h^`tS$eaQ*ey
z!{Yk=|2cl|d*6Hg`!Bo(n)`nV&HcZuz2z-$c?)>^-v@91`)>jFt%NXAKe!Bk&24JW
zBONk|#MkAe9Le0ePy%NlLD-Ys8yN9XQA#-V?Qee@YKQm#E(VAJ_7C9acXoD;9Xsr}
z`|ki}xi^Qu{f+N@=Q|%f{C8$;|8&g+0_4vIgTdah%nU<w|NnpRgC9Kno!AYR{wnOj
zr^tdlhmdM^wh1d=I*q6$K9uy&Y>OA6NLodX5?)Jg>Wt(SDSL~e9S`tLA)CpzYRuL(
zE1u`NQS5twp2r~yo84LsAdH%uo(F&!fMt3#;zytQeHlg(!mT6>EH02Kp=djfjT#J(
z%r8R6WeCs?1Hd0^)M{zkXmp2-I_13AZnt~G(fY7akFzMUlwho$L{S)1N~!C*VbO25
z!hlL?w7We|qEw!3yKWTuz85E{>w+0Yh@HWpuxvsCf(Mu3M{?PE`W1PQJW5^%SHRuy
zY<M-i6SwgyynqkkbMPX*6Mv?j3tIBaN5}chNkwA~7FT^dfaEO_G7)rqo-~~|O3U&!
zm`;FXo}^>MfxxB457(;sxJ=UO00)Icl`3fSB7G;cNL34(^*HD8?ICVtJLV;xkK$Tv
zc{U$s;m?q?R^al7&xUxqMI%z>{5lukN0~T7i<*y>{ER~gs$=h`^7*HIfQ><Xi_{Nx
zzTgWg(C29-DJns}3{My4^32r1oO4hg2!o5+FQ#M(aK-YZ<4k0ycLs6_Cz17Zd{lzc
zUZ)arOWA_ZGiV(%0s<I#w#6F}1m5L7y(G)3bg@kfK<w+-9EeK3k{3ytM9ehKG2LJ@
zNT5mt2xI(X6A4U0r2s@+T$N?WZaY=~^Mhhz1<}yM9Pbl8WOyzaAuEwBc+4amg?1zh
zGi^T~quqx8)#5H9Ehb;=YRP247QXMsqnc8Rkb-I2Do%Pr3TSs7ZW@*Xpl=nD)u=3>
z>-)mSUN!?EMK6h!ZJHP!p#aJ<4Q6*=+itfNQdELV!A%6D;x~CnfpaFWQrEHpkm8q8
zpnyVBYAQ=qI^HnBQkIoiR%qLtaZ2r74ceuEEY=D*fHX{sz->FUtk|;d!@&gb&Kr*p
zCO)I$qPddVqmU>?N&^)dgIDfI(sWdwomImu<(XAJ;F+<R(V937Iq!Kh)7Hfmf>NSM
zAXtC-7h0Rln%G&5q=@p6GMx))Q3}x80Q;n%$QHP=Oc0p!_y-G_IRMtKj0!RCv=GHT
zEcZ`O_e<=>5hyl!QADNF3_$8l@d$ZHKoEygOkm5w<LFdHNd(Ta649F9PqY?MY#k7l
zu<CLuX)GvPi<ay4a#US0PD^Fq`@G1NW~$%6Ce|u1&L0tNovU769f=2074Lp^+b?m(
z#!(bo<8F_~V<rUjnnklgLIE<Yz0NYx9F%6x&pVgR)D#f8IA%m;ATJ2ei1Tt0oC6lA
zW~l;e$ujLV8>0|)6uSrza<~xh!~jx}{{<4qN~xGh;j_auFA5H9AXibG%L20kLK8&<
zA;dvzx&o^xrxZFc0*a$x5TdY4?GS0_g7MCi5k?mbmB56E6&L}qsFYKpROb3V#NH7#
z!e}`QV)2=Cf&?O-iy}{ld3Jafk|b3*K(5jx31^2{4h?}qGO^#VD#kjU0~+T9P>T!V
zSq4+>=p>J5V++TkU(r4@fD+udAp(oIga9Cr_qB~95dk1$gpoi?h*&WtX{3CTcon4y
zvEnF*20|8N2*BxLYHRPw4ym0u$-w>=(+_oB3XAG?{kYo=0HNC*ho-B9rL61FH=mIe
zx$Zf~3PL$LLkQlbOKh4nH4MNeO`8V0J^-ff#iP;#D0Z%=i#+=+Fb0ePBlzc}NXHr!
zC7KXAsuNzg+xa*6(M|<DxDQ^_>FgA8O-S?hyqyP3+SbgKQtvmN&1nQCP!YzW_Pjfy
z+POhEkDMeck#I)flDIja_~w`8@T;rZtUT$(yKSYrx@Nv^CmWtmPRbxuZeiOjTQ#_j
z36A!%JP<EO!YCNqFA!WhrV%mSwu^Qvw8M0*s&un}lNK_wKwcHlkVSVI(#Alq?x3T!
z=CW~*gd7){QCCyeU2*ZcUEz-I-|l`nj$=(l%XArVGFi3<|1XLn?R@O41<)GBc{YSJ
zm02-b3n?PY(3k=<Je8FVnhbWkv!h-YJ%DkF1uf-*J*SCD45BIvQ2_g?rU0yV3al_n
z!h}MKm@HT1SyC1EI~G_cMXbXd04q`|H#1jY2oZf)Ajk}MZ4lQ0UQIuG5v>%5qP3C&
zF_7eo#bS~FIZh`R7t;yi{y`f>(LE%B*WI|t;cXCrvD^9}L~y;=>pd(=YbCGhN74Vi
z`OR-m(^QmZw!q$)5GRfa{t+f|&KM3u?CQ!pOGFOwRro@uW7cm6h7m*@5@{uhEi)3L
zI7fkGX(7*%7zGyfX<*7E24EWlI}M}}#R?)DEl3K`s~w2Q$^xNtSM)2t9Ex|El^9Y8
zEbNgcT7x1aEJ2HSPW7NT5loo@KAzq!Z!8SR2@Gom(B6ld32vRBBERL>-sc05E#PC^
z>l}0*=x{H?jGhDsznlMgc+u7scMyP;eI`|~(wlqTZ}08xJ$y8Fo&d9bI(5*|l8^bK
zcm9HFP3-}qBfMi>@4o06TcQWw>-?g}>}WFW2)2_<g^+Y3K7P9SkfCMdr!8^q(7ASH
zdlaA*dQ+ZGgsU?7z`KpS3CinQhgY;qj2c$d-NTYr5!Mo=Ip0dZ{cP^YA>J*U`TS~&
zg2=ShY_)Cx*VyyAss(=F@>AfAm!G1_Vl*rZ4R4~N7z~SC9Yw4aX^y%|H%cW+bJ*5~
z@IDvHm(rkBqEw?*ck(@A&<M_IKrkjSpo*ADF-Mi6iV!riwYt&%y@cPgePAu42BcD<
z)=|W)h&fUS9E<@3&59U71H;`>QL4*NQAIu+7KMW6bXg29-(5~xnG|Y51UDG;Bj*sE
zi~56sBNH-2DK;pg9~sPObkDP?Frmg!R0>KVh-sWO-Y+l?Sb5`oBd#$*FaoD7)krMq
zGq*=0BMQeIr6DeK`d4tbv&RMz^<r>QB+&3g;RuIvq1Sf%X63EkOfwz48#ML){vMok
zyYLQB*ZT+K({2~u;nr!lJ8s+l-p~&y+`a$gxZ6#j>UG!mAD=YcwCwdZm%mi?dfz!A
z<Y(sEA2x&b2!Cxj3(Nz323<QWFxP0CH-2r0Dvt_-p^sYIovYSOTbsduq<#+lrAX#O
z2x%5P;PT+g?&t_$Z@d^lhM?mHO;OB;<8gzK#7(Ua(I3}I_^QW8rRfPr_ecEg(e;ai
zCHjyp_)5&nJ{%ohTTZ9ub~JXDb?I?*5BYdh)^#pI0u^)<kCium6%@sInGY~73VZTz
zecpMh^8uYtL`G;J|M=a~&+XE3v)=e`u~VGswtPc_t2hFS#yOaF;LUb9?db{x;}kES
zhPLIi@P{v5v;ghmr7vk0h>P|mui`3?^E5Pon$W1at|}Cuz|L}}lzSAPjL|eMkE3AW
z^q>FvpU(xHjq`yKAN1<o7IC|K0KY&$zx5+OANL5n4=&o3ReNc>z<(^2c6nh5C<@mM
zf+N(AYdLO?jG>4XAgDO@4ne8maD2pyNGpSAADCXX7GQs^7<h!scf#%Nk@aUg9eClt
zU-<2Mc5v@(ussU(cYx$^X*1hwH@h#}c(4tT6a`{Ha|~^-=WEG=c>~0Hf1*<0!@^mf
zrb!N&&$BL(HL%a+a(;Gprjx_M1k%KL5gk}lg)HkTvV6R#i;aHe)d#971Atp6q5yqb
zRjJon0SFp1Ie2BNAlH?NAbIuGWmU82K@cJ|!(lV=)T~FNljGw_x2ufi*hZxC4|(v;
zc+5hbrqlhbKI1>$dAjo<ozLw21H>?bQ@9SVf=A&U;M3si;Vtkh@aOP9SmGUg8s8H?
z6hEuO5E^godixbZ_i|gAudWHj71%GCtNG$jc&t@cDtIf~4Qv}pf^2x^Ed?R~U?s%4
zz-ttpixT%Ogg9bE#TBCK14>_LX1eXuNM^##@cC6)Jte*fH=oKFi|HJ_&C+r;lf`jS
zSFCE8&A0RQZqD;<yW9lFVJIf}JZkbh^sv@^*q_Ih2ybM2bgR0WrWDs%x0O<Tr*5XP
zE+nZ5M1TVsyRsR<AyX)9GNsLQHC+SOm&2n7{v{__EKw)gs64Rh+E_{?*$`eurJOM!
z<Z-jS0JR|u5_x*sMR>WUu+`e|?%mWmy9?2-(aRK79NC&6bwJ)=xh+c5g=`^O;ECY?
z&=DEZTJX^nD7uiI$uTl`w}dN_8h6VT{Dn$2p%x=x2t_4O+B8cJ7VR-oo*AjLOme|a
z41_drP96pzK$bvQ6dF@hnhk59^KR~IMF9EoFWM9yRJ12A#;|IPu=swz|E|?Um=$3&
zw<s)%8Ufr90&1g-R#Jut!22v{Mlptz0%fi5b(_)A;jotxCC*`#ree{$8p(vRKj`ll
zMFybiymsEJI?ufkQNOPZqIC$`Sm#6&f*v*ikToelQ8_EDRRjouwW9c4e41((HzfUf
zF;}hyW-G&HKneulJOA+#y$r!7!q&6*!I#O9RmG@V60+CADz=+Aj#)#dAX$0gK+9t+
zSn$s3!`BeQkie1Jkc}k7qMc=f6cNF{>L`juX;nu-81Q@9IQCgpLSi|~@oDDDYN#=D
zs%k=-h}Nka0)X`)cxH_l{M|;$w<Hork=58Zg=tat8IXTk5iv%p1VFKcSsewzxkRA`
zXflycP3pRWez!4CqWGeSgCItOei1s?>kSn(QBZ`6MU;t@%98bso2OZp`!1;%fSpo4
zj=Q!hhe`{RLa3W2EjUR?c}GeSqE<d8BGx|1L;w(*u2NY79|xoXG%2l2%+l}l(4?6>
zRjclx+Ykve)XoKfEYG8#vZ9o+S*|RK)H}e3Q`Er+aE@h7p8H5RO$VycTeBC5>OHN`
zPEPho#Wpe4__FK)4$ImTfB~iBkY(wc2~;a{64Ig-sSs>pfR)lzrny)@g3?MIXwqUt
ztf4*_F$_v6eWS={J<Vbu4S=BmAY|U`a)8*=Y($z^4oE7>AdX|u{<Fg?vM~r6iLj>u
zwCJnktRheh;iHw9qpS=t@p^zmRVOiPrPx>zMB_~$gqKFnBPcD(`4pM;eMF=}u5}g%
zQW=^!axC5g=$J_<6#;1THcB}HrL;oJtPv68Jg-O*AtYHI5h^sIl{W^pwZ@V-u+9^5
zh%9P^o;AZ!5+VqOyrN(L!B_+k&aaA60BiygAStSq!j3If`V;U^@V$P6j(fcGQJoIx
ze(^vU94JM(J#Y&ojgf`rilf%c)La4&i#U{$rD->d5ZD!-&tS-!#oOsj5l?*)O*osw
z2j711-fPzm4*|yGn>X*j|Hk#B;oN#}(QchH7vlTOAk3z_-Em^s{M2cdX8S{}5`@G1
zj*jw7$EVBJyylhHdwm;UT(s@*d-JAgD$Rgp;gGD>Uh8_FO}8xJ8?R9L^-iC4G~T<u
zQvNiH%O6_ydjLKJgBbEG^+Zwhwh%?tBtmrFqwe?i_Uc!><mF{~<?#CTd#|KQcgnip
z0WgaB*gRSgyIQ5jU;{e#V}VnVcQl=G=cV~O(wqRj`AEkQG!R5pGlp?O8UKN82KYB&
z@_39X`iIf919va)`&Y=aVJ}T&Vu~70-|<F13F846lei|10McxDTpqZr02sJI5<^k!
zCI2}6<yRe~2{@mX1=8r#KJ7j_F1v_@*UZ|+Nso*-V9R+qveYS`#Qjl{ytcU4S#ayT
zF}a3FJc=(=+g;-8U?;m5yD?}ML;v>TzbzrlhHpEWY=HZ6BZpuy{8iiH+w>q!&dTzS
zCLPC{DElew!1s0zI`?;;=FGu<9ed`|2?>`byk@d>>k#Vyt)u#?l2#qCyC?EPq%xvM
zsra*{>Kk#-!xYw-ypJSuN0}_4=IOlo<aRc24e2ZkKGsP8k#1$p#qJCEzFW6$U3uin
zF<TAo%?H-jSqmJ+{W6N7D7)~EBcKcL4ij&z3&A=nq5$_nRbT#phgSehG)JiF5zs|H
z@dm67!NR*H#9gP?_by*?<+y5ZKCnK)I4*zDm|N2++lz}^x297z$Mb79Vb4G0_YzI4
zvzMkYzj^cK{RCaM4EsQ*V6C;#6a~al)sG|j-^H~TuQ8~0Ej9#etWT;ag6-R!&#HIv
z$pSzp=Qq!1b$ji_>j6%<V!>Vj^>SB_x9&%1>OH`-xtKDJ;9b$4U)*!^$(8LU6a2tw
zwq9q`1Q<I>+P85t`+nnoM8T&BC?~9pnzz=?oiiE=HyXR(@>|@uUvt;o37~13CeMpr
zuQ2&R8si@f+29~IMXy)nIiGU7{;8&Enxfk)^4#<QvaJ8H{VW6M+dMCN-J&KPz5N&d
z5Wc0xCSbNlLLwWow_GLLZ#34-mz~2i$H&L}`v+%dlVtD46^<3^xUrWUoSz-+?;qbi
zK0ZD;J3H9lkIxbI##jF8Vs8w19?usY9OLjACokNE|AHUwd}!xmI-lP8zFc6+f3x!k
zoxkpMVBIb@lSJy`MLUaWaT#gbb|H&t*)Cdc?;(%tc+;+vtxMONMLWS%xj5Oh^Ocm-
zMK!4w?PBWl8o^%Drd_N`?O*8Yc2>K#ZYc<2sYglhCDP6tzey$1ZrWWjZ|0dZ-?FM*
zREw%@7u7;TAX~R>yQr3=;o6qCCPqsDU4aPHts9g_3!Ao?#5aOFZkk<NwJrQ70KC0Y
zPXhov3;^)7Qg1Jpvp*_)zF~LOQwlCW@ZpCa`G%_pS0>;7?cYAR3IOn=dHCUnU;E_4
zH(&IYx4h+}E)EV3u1>C)haZ0U;YVJ2bpkIxEp>@@aPzC*^~%q~!Vd9)y}JBvjqeTc
z-l*SoL+ZT%-to%StMO0&^iTK8pBh|#z%$Q01J}yIZ_K+#u#PV-F51nN$(?7PefG(h
z^@l}K44x<k@s%rAu3Y)NC!Tm>P&{!Aq}=#oN1a{gk<N#7KBs$V<Wp7pu^I1CXU8SD
zFqDRi+QLkAOaimwO<_83Ziau1q`UL&3ajbwNU86SH*+`}-Y95l@pdv`0p&#;c9`;)
zy{Hy*sF;l~Vm75V!U(9%?y_y0Qk${va5%)MvBR9wFV5$4O6QaghhMXgL!(*je<qdq
z%FRXrr<WQHIF0l9wb#yP2&=27T%<ShYQQm@&2A@N`mgJ+zn<Y_%-G#>#;#}VdI~4^
z7`wj9rh-l3B)gshvnkj>ZDx;um-p{~22QW98Z;ZlTaK-)BCf6++g@Has8V5xJ@TCU
zewwCh<@vjuNF?wA;*mY_41(=}fm6_ii|2D52G-yqlS9MyYLSm&XEB|W<)S+;^CG!!
z`tlO4VyFk<Bm^kPwtx%jwU=CT%{5vXW}2pT_^Vn&H=FrtyAAb51B!yCDTQ`>t%m#G
zM8kxu!O+c?>$0w8*(zTeMiE>M&-q_<*A*J6U(25S#Ux3t9wrGuyS?@+JgjB%>a@|g
zdad1tt7!VP=RNOvrun?b!yr^bDu@|SN>5u-Hk(Vo41^GZ1P?C5=ioAl$TA_|`@Ssw
zvM6O4mIaseCKr-emcAdODg3f1WBA<OPkjLPzWd$J^?JSD(Yx<H3VR1YE7B2=JMOqU
z?&8J$Zv{aR02v;Ts`?h#+`N=MxJ-7*mE=}(iDi#)+Px}Deo*piMB%PMP=Lfbv}0eM
z&8o`EQ8SDjXHVrALDo-SIE9n{ro`dSfb=Y!uU*8vG#2*N3$q(em|&ESj<Lvu5EP6c
zMBA|u$}W*eO}VR@DVXCJrszJ~^Iq?HudjLDEuMGF005PmNulyR&?%XjLICDE0MxWC
z-?CshTr7q|uq@xQO$y*R{A-MBsi<RUJC0lruvQQH1jlngAsj^C^^ObEba|I)n|}>q
z#I$g4;2C`jXEiSgq1|bZj<2pEuB{#)b=sXU@#>7ZNL|jFX&N;f^=|qxW4iT5GfLA2
zXC6gYem?4}xB{Od4N{V`EEBLP2E|-y$qL94G5nN`4D}xXlV<bZEre0L3Tx*w#q0ia
zv(nh`5Y`Z_ds>Ui%IER2=i_{FL#uPz?eUbSJFOcQbA;u?$4_i3yS)0UlgDj)-SJyN
zu=6c@hkpd)ala{qvm)hS>B!OTha`X;O8~iar#R{nF5h|lxF=mIKhx4Xe*Dh+S2){@
z!xOf>QC@xZsmMLDcWm`v0KoR#)#36=v9?uhmVz%mcVQb?m9beL@cAi6q~)xfPY1S^
zV;=?i<3Il6KmOZ0^Kj{J+6e1E<9fDh*Im5eZOk$6ZD`ys`UK-Rj*-W46al7bnj(wi
zD2B)Oc7G2p?td8W-2ZUPFbv)P{|%)Kqy34tp|#O|tf`e@v}zq~7-sADKI;Yx!O<0R
zh@3^Ce)=;0|3j#dK0O|w{bFc74tt52;>>)C0xomixM!KZZ(1)7<2W3QdgJjM1yix(
zC9embZ(5e=KV?w*jUT`H8;5${Q?32)>!p*+ER8t)667cJ%_78x=!iKoCbvo85IpW6
zjlfqI?s?`jpV_arPM+MV`p<mmq5U6x;Dc92tLfTT?o~x3_z<d#4?lcy{N$5Qe&7R7
z<||LUxsv1K&;Aa4AAXK-wpg-Pl6%NY$eaDZE#<|uqKpNqFVVatq0JTq^u|Kwlmr3-
zzxcznll`JQpA~a=>Nw<TnB*k;R+9N_K9GcHK}R&@&G5BMFUw1VEX_-+pks$Xuf5}P
zR=`T!ZpZhpbqhK!_x8#Xi_Y3~y86GSdwUbZSTD<U!@PBE&Dz<y;)<O^_S#ybwz9Rg
zRjt+<e~e)i`^x7`@M#jO*D>xZKMo^QNj&A^=LHla;4Eo05_&~s7|~Z7#s|+YFE1~j
z|De(6bPjE-3z4RRr>9S!?u^Us9qa2G>$gF7Ty{@^+;Bb5-H@>VLqKlYw(^%e)p7-(
zY}@1r%SzLiDKHF>3T+$ZexQ(NQU4dn4dg9^1cJcPuV~$h=Gc0bXuw7`hH11A(1OKv
z7Q4o!j~$hz$SN!eNIDvtpA6qWJhwb=%EYMAIF$TKY*9UB=pzz<YR)y%O-etF^i!06
ziqc7JnZQ#HIG0)n<1qYm7=Ahg2tTcjcSrH+vSk8j-ECPm171Twe)D;ZlYGrG0k(&>
zg}`bYAc}Tw!^3>U0D&TMfEMC2fPJ0fBZ!Y6{RV}OmdgGb2jE}ZLPXUv)2}DyGYsPy
zX7Y{LdItYm+p;+4+|WvaR3Ss4#{dp>EQ>NJbqBN#8L!7Nz!Aa;A$zz7J)%gRtdNRa
zN609fW^=Mf4)obd1G#U;NOyDW#$??QgZDl3s-yFK?d?Bx@e=Os-*fTe#l2qd(#4Ax
z_x7H;eEITTuh;8c+S|K$`SRsn?{e?rJ@;I^)Vp}`o_p@O=OQr(AxH2c94CUb$u@Zg
z`8o0l^84ifkUuB?Mo0w@Z+SY8=jMu?vYe(9;$rs=EaDS7a^x-V%*!nA^f0Ttlr3JV
zIi$NOn>`}q%*1gy9ZiB!>Ab}sMu|3yi$V796YwAK(g<fMCIpF<Pu6n9Wi756;<$_z
zjDz`X(GpHXHYk#pWz(3n3v2w+G~MK1Qe+P`8jZ#r!YB%$fu;r5HXAvNnhj_`KN~|i
z7&M-MUa#N9rfK?~X+i_L{eBl3mX*ZyTAWx`13naMNS&pTqhiBQN>dT08d7kUb4SId
zR??s%`1MAk(SUonsTqKs4IHja2H*@w&N<<EQhJ`)ltCaw5Xk?xv$NA~9IZEgrO{|K
zAh8V7N-O}Y(HJ!w0FCBooDBxqxX~DeK@g5OXRN2u9EE-m4I7PG9NU&<$8oK(9)Jm5
zz^3L306Ye=CZN(V0Rpt33(#zUFCVE}S<gG^Y9(|X>WK9^XrXi)>Hzij%rG3oIAofh
zVbI%dyKVWd*OlJ0<lx}otMCr^G?{pT*5}3H%6^pmCV7(ldA>2nv|tmClX@<-%QEr1
z$hNHX5^K&6w#zltO=^oRNciapu=}8=(8URL7WGEntoeL2Fw*}=WIA)Z%ICp%DBrJd
zQ6=duwA*WUn9@nIB2^e>LO5<6YPG&naWujp2m_jG`;Q&~ThQ;Vt&PWPYrQ^LroVU3
zJ$t@s?f;EZmZj9advJCV4*!Q_!skN`xUqZT!mhypj^B0HarhKanj~B3d#34u?>mkJ
z+p!%)&Q>r@(;C;RmaYL~^~RC?FJEy8`TmD;=!#K)(Aq>8w+8*uL#w^F<JJh3{O|q8
z(|X*Rc>EHjjanC=o7Ne#5pBO(L3>V9>!^5*RQwRGeuTV?yoZpG)JET_;-Z?QP)^Hu
zK9A?JoTl+SUR3$%#c4U`B@p)EeMJ??tn3L03+RtHGZpXCnSOIo%&Bu)S~SgLUgr?3
zif1X4xj<Mr4cS~YfM?z9?EmW@y!+kvoL+v;b{xlXq`?FIX!^>N%Pa8uQ>RWjj$=Eg
zn$0F837k50>eMOM<-_67F$L$YBGJ3EIBz$UG`Af4?hCd5`scp=>tFx+*L!!~d1vS7
z8<kSpU!bWB17=%exVm$A_nPO9`<+gI{AsfWP_MgB?{qp=#}^IZpK4l`nU-mpX}D=h
zF^X!WjwJc-;Wm7bIOI%w6>=%K<brxhYdp;d(&$|?FCVv1H}j$}brQv)?yOqOl_YK9
zKRuq7>88?tiwkj7q^HlEUzwM`X1y&^4+@@r_e=^2uf%SrN6~LL8u%q(GNi2O878z^
zYlhaEZsi54=lzs`qEePk5zvn!_;nDX*-25#KJ;i5(zJuVk03;|OB?lLEynDdKpW7)
zMx)g>+UWbZKVZx{e3%0?o6BbrXc(boM!hVng<4W(`av*X8uY_Z9$u1`X0%qDOv*B{
zk~pStBl;fw6O2L%Qg;6Y1aG15VN$Qt5R?L-)D9W*ybJ|z5ki2(2bbaR;7epc2;@cS
z;fM~=Tq1ihxBCPB4!gaL?c>L)qm4R9QLoRJlf<>Xs8R1#y*@xb84cZ#(t2-a=VWo@
z$fRV@X^(no!!o6_RBRKP&tLWz;WFuviq#3qU;^#b!Sx1;aqB7>1|SgGEH;Fq!D9QT
z7HN{g^ABIR_0SHwZWP+>ENjNiMjUfH3|$vs=WVt1wS0s)pP#>aK0_Rh)>h-^K(Dtk
z?Q}V7fn|rGZ2{JImX;7M9tGSze0wp<yInu;_Yl*xUYCBio9Fq>NB7U;#`@mgp$l7E
zh+A714(;u&Zy<EndtJnKXL%(LEgQhL!nS1%2HS)YLI`{xE|Q1I%gM*d=Ls3j<N2am
zR7II*gKS(D<!qi8MJXDBV3x+mQpK3WHrR0oqDm?^lIgfiE5C!7djz7dDR3tw^4OV7
zlk_DPibx_Cbu*vf3ssSx3XLY%Q2d_Qxhq$*FD%Vx1uxMGuD&%w!t${RC&194sb!-E
zh)^qVKx>QuG}<;Q&>AOuG%+d-HvSwNuwHJh=Ys~VY)5POoqO-Scjv0Bb~p=^G_8*B
z`$iy@($UUUSM9_~OJSL@@9+P@+S=ys?&kXX=I-w1XKdSEzt_0JC!;l@)}YX~P(w(S
zhKUl#p^A*E6TmP*q2s)Uj0Wv!UH&bwVR^mn(Y^QHTWxV3NM)K`KTQMA^p(^qhH5KT
zS_#vPgEaNuwYj^y`J5tH>+_k09Q-9-geS=T<ay*n<hRK`K^+dmt?)uZRLt6wDwmoW
zZ359rc&BkWC`D+S;L*D*szEs@^DK6ee0ou8ny}>NQ1Xz9DoW@8^x<3qv_9x?XMR6C
zpoS@azUH{B`c_8@N!Pomqs8%{B&rJ9dF^qQtIrKrNQgjb%5b^gz&#>Ze23kqD+p;H
z&UU+`$ctR%Ure;)YLT*0&>7Fi&x+RD@M9BZz&NOvCYxYkP|jZZ#j4449Lppt%jng<
z!=N0Ov!%@<{W{Z{0W-qTRX}~;jYBsG(srj40yOiy*RpJ&re)ZcP_>q6na;Jx2vIa!
zX`|cS%!Z?O_s}$2hps0m2!Cn0^F|0lv`q6W{eHj3Y`$toJ0E4fWueVDYR?N@&vOL>
z)U7D?;!l7T_+hF!upnqHO(rY>KF_e(UmHF>bhPia9oy!BDl`oMCk#7H0ce^wVB~rZ
zrKW9%k>|P)Se7k#ZM4$b{}%w1j_rqz(tbo~6`BoLPBCaF@F=w`&(vJF7C=(BP0Abz
z@J9%((6ucI5JsNX9Du8bUgfNew&jM5DYp^%9;3FCfTlDElEiiyrOcGv6UaFN$XeRz
z*BhK_9qH#!=le^s7q_<S4TKbcfrZrA{}2RzlPRm4)Ur)SR3;|}R2qU&%h5|ci~&RV
zZ$_y!>W%}xX=>LnRskWB%6TD%mSro+)dt|027qT<NEHCBF@-3(pcGL81x1-JMS97d
z%Z#-pgh>Ge(7>(ze@ZE12Im^kQQV@;1b71g#J&&!j2l`ZN=E3xe;xcep2WPraG2a4
zTR~+vDFW<pIQX0<vY5y2uj5?$ohL4NtSh7_yskn?8L5~eNCz7!uMKf23fwUq2Y&x2
z8j<OF&i#Xx?jY;*l+;f#W(IIqZ#b$Ss@DM8owfZZ2U2>T@8fIlZN#SQIU849bCoFt
zoLekR#Q=D=WpPTGX*#xf$D7{tCfm@AHupc$fe#4NP*JzLwG~D2s|?Sx4JpTqY~Iu_
z-8$idVBG$}ci~szL!?bcWSt!L_=W^fyNe>1g(}og*VO1X`C^ecbyD$s8XWdWC<<EY
zaKz&h(&GT1fnQjD;=cRtbA(|!`~PT3K_3>LXJmhG3E@9WQU8~IbN~NR{U7)K)bj+r
z@S{vADFOW7{_Wqs?Gee~I<0j-G)%gNhT-mi#6z^N|7*u_@ersbue;FcU;WGeM}&m%
zD>?{058%+3zVxN9YbppKgb{M^f8eX|5wbxl@^tcCqDk$t(<`%#2;(CqWOj6`2GhKP
z{}wF*xde`4ptvJxo?|g`QngbrQ45Qz@b@wjJ|!$WU4k%dJ_F?RcrO|6M4kuFxRhF^
z^1SzEWSBz?Uige>JR_NG3OCuF^i30<@ndNi2&K5=q$3E!mSocMnLrHwz2>?wZiNwe
zZu(&C*uwLKZ70i)>(n=o{2pw)r~iJ>O&?5LmnkJ2J6*ONr`fL6x;57wx55zK3N&wB
zT_-Jb3EdcmAO;f(1rZr$bGq0FT)b%&rZAX*3=*Ki_gCmiu$>r__c~6zWk~tSt*tFX
z$_E}LT!Lm}dG1&C=eM@DV#j%Jg0W+Rl*U;pjem=>`>#!lysj?-!2<Cs&sP$$BhU^M
z4M9<(2c`T@j9;8gC%+Y@1};+uA1sc4kdx_zX_=`$mZVIZW?EC!Fa$?&@)W10AqAr*
z!AD~}7ex{qG>)`F#-ht-hB0!-RZ3IFw4z*4kU}Y>DhT6P1ISKWE6osvq{7fTs_kgj
zEmHFbrZXjLHPhnEw4`LbUgylv*+77?u@Qw5k)vspOe-CQ@qtS`&-aA{A#^fkR_jO@
zy`gwYZbogt^f)0rktlvbNZkcnxFX498iR6KjgB8%y)|%x4=-|jTLy$f-Kr=O8?4TB
zl1hRKgw<~ukL-iJ%a<=NG7V}h2B!N_Els63u+|WzFr;RWajmUDDY$^;{rdPY45JtL
zt~c-;M_UPpDM;y9;yPg%QV3}nLWuu1_f~?{*8hi8a5H?<ZHjX`c!)BpwJ)XQzF|s1
zX&8(KVZ@nC&nVYXTG6FW#D(C7A?_DKXhU!=41<4Gxqrt#IgVHwz3Eh=gw)nm%nQ4!
z8_+mWF~IxWNE%EpRW8q(X-|_B>H{UY$s9NTZ0omrw;ekkf4AWW!OSqNp<~<eo!>Ub
z`+u5lo!Nh}2YrJ1-+7+H=%d;&oWf(=THLn{4$fvb>?s5^Hb%>RTT0Pv4(!o&gPyom
zuYUaT$ItELu$6uekH8mmS?k{-&mwOmB>%nbaq{-sZ1h)+?mQ()VP<y;E_%fh!bWZ_
zq{%t72-=p+X9W)nyd;HO)J$vOqI5@SIfen+a9nK|+I{w2X0efc$2IhbpY&=l4Cg)R
z^3rrt4Tni<vb>y1MB)2Bn@*YU`vOs>%gd8iG8|UZ$<lJ#Xzc&T`daM8^(FvxoGH>{
z$Dj7J<HsmHcKm7IGYrSohG96aHjH~SbPQu_*lakCh}{~Zrb-IG)#}WSAD?wvEni4Q
zHDb+;h2u1u!{v>Q<$tsy&$OND^|scQw)VI+e;0dut1H;=Io#6y+dx0AhLlOtXNW8C
zL9wnINa*k}%S1LP(<9%HtWVr_+ilOawMwtN;l|tEWqO|ZQ?}MAZ8Ti=KnL!RW_LX9
z2O&P~X}@6GpALf%UPL@X4*mfy!;9i+O6$g^3HPG~(~twFc-Z8@yh+ZG#HB3bk^;y_
zSPc}$2EeGGBR5>J%^9XEzN7le2kx$_>WXXb{lLb?#-OSn>-Bp6$V#==ZD)|wYBk-E
zDPt@Z^==%;G{I&RMKK(1x7$$XdAHl;O<h}FURIgYj^lX4DQ-M{`gFZox?yEyr8Nzg
zcXxN^*A1p8PMkP?>lzF;Ha3d2<zcJU%GyJjBuOi6-;!lnkOemcK~M{7SG3!0x8-@Z
zZ4a#ex?vc(9_?tYH_dX-w(VtS<@rL0J>%q?x3{;Qh5y%#vAgv%p_U}cda{0Z7=|~S
z*WT1_w~sgCTE<Vplet{=hU9MY5X)#fM_}UPGMi`;dBt8UqYxf~jhMOB;?UNpVmula
z?kE*0-m298nQf9Ts_&dUd2+Ehc>@5r-7o-1($P*n0x0qw*a{7vIAJU$LzJ!?>wFEp
zVUji)YdIO@Tds5+k24d`<`EycYh(%ZJcc9fcKfl<*I)g$dl+MLtJ%z!T5Yv3)>e-k
zSzFcn$6SuS>A0q0G445zavM~ZMyr*tbUS<|*4B<s3nOw}iO8giLMP!y7)VHXh@VH1
zCoKjf)4?gQQn0WnDpE$=^m6#q>6X=F$F{eE{TEM1IpdqXF|L+nvE<y7o<4Qmb&J0d
zoz7%>jOU~2to+HXYy3erne095!VQy&()&FjA<KmDA}#3UkT42<3uQHu+Fc4R|JaZH
zSQl_}^E9m2oer<Rv$Ox#)o_S799E0_-`)b={qA?KZk^p6BaS!Ee(S;LUELR^7$(_(
zMWbO}^Lc*oUHB|~gtUCc74vl|9LPn$(5kA^$OSeZ)T*~djxOMe#*i;%b}Kgr+jR>~
z_jVXRaq6a<j_xpiLTGJULdcc9qkG53UoVP624Qcx*+k$hj^fa^!LbeIy3SIZB%w&t
zBu3yojN`zv(RCy^wz+ls#+!~FX8ic6n{GNPl~R%m8c>X)$sa8*FH1uM#BrfL*ENNZ
z(scy~V9Z~Mqy(VM50)&~vn|f0bbQ7EDD^>pHF)sDgWrVTfG?1BayKEPv`9<f1cd~X
zwUpG~P9D>74am|(Q5EThD<7c(19^$JMZ%f|xQuxG^XH;~A4SBE3VBHIlTs>igAjK~
z`IADeOa8w&m%k;r@wKmg4H=VvAo=RYq?$-6wxv|!ZZ7Un;)6o1OYuHL{8`S{ggC}I
z=jVmEg7bHAJ`nQDi2Nf$yy6f3;13Xhe@KXxpXR&}LR6e{euofex%dF*Lm>zugb_jr
zT!xDzAaim9c{(8=q{P@{z8Iy`(-zqQ<I%&-sb(_!E_Gzl_}`Y6`%{z`(s5T!672o&
z6^jbq41Q2=1il|M>VXe4==I8Hv9#9jrl~k|Z`wYCz23O&_26H@4;qXz+6a}BItU^m
zwGQ$|;KP%U#Qk0p1H?(MA144#J@5hipuYTx#=Rb1+fQPEAZ(}4C>;9WSWoB&sQh%(
z55QDG5QR!fN-66h1b*|={WwXMjGBR_2M3pNuhR2JTtY?zrfrRgkbN!zLze^ug-?4p
zXgkplW3X{tK3>PdM}iU3$eS|97A;Q!ND)rrb#A;p=-_Yg`idWBP9IGZkV9;@c^O4_
z2TcLR-d@Cflnc1QD>doSE`BXMpL9Ad7x8#;r;*|WK+t_|nInl<N{%eD#|0o#2ETjC
zIYX*^zvV=c?=fjQX}ul<xM;UM&viK7W)GqkFYq^$0svPAccok!ngXB_f-|)p1F~X&
zOvb1-lm@DlLM9xi-mKRH_Rs06SeeOXo}oaX%(lTkM<~lu(WVUT`Pvkfx0f0bodCeG
zEgO)ToSUYN%ybw9;6R!6gKI2A#%#k-Sj`%yVS?hmGpaKtZ3NS#fQY{IT-yc;R68sa
zkFyb^bZpb4kkkz2pLgssfPo;jbUocsie}fP%m)?x$z%~Il_1za9|KHEaD%`zqBsaF
z5;MTKQoN=UPYINcZAuZ8P*%*fZy`zwXi?7jVowBBYS~qcI95U!M%#8QU_wb&`+SV`
zJw!twGVO3gO`YN7xT1(ccTb<lFa3o73zx|wgaFXxfm`l7#1CM`7a$xFArhVBZ<T&E
zV}~m|B+RK{tSnP_igVs5wyyJ)0qma45Ve96cWxyzmeH+S?kn71IR7(`KKR4#%ik81
z8(&&|rWLciZAoPt2C!DE)mppe<fv{ja0A%ZR5XVzyn@>s(^IuzVZ1DO=8xuAJS`7y
zc<I)?+8>#9CM*^4x1CyqkW;k;(}>Z@-|;iakCHc%C&<r{uaX~thM|PBH7F=U?<Q%I
zUP>OWCTWg)x0x3nBaPlBId2dxq%iB-Lk!w@J}z<bo*=S8F)y<ckg=%{o=(l-sW9Z@
z3VS6W3T<$T{y36ZDyB9Nn=;!9L)OOE7su0R8l${l@Z4_Z3Ig6!zkeYvrxEa(I|t_w
z{w;1SUZf{aJv|>-*3(a&LYQnc8t}tU;;B<lx6Hxl>8DOoXf)R+a9ByF1)!vM5G(^6
ztyFW=?$Fd+=$C-+gNMByxC77g+y-K!P@dJ8ZvXeQ0qSwAZP2-LF+}ZhdQ=t4p&@Ox
zLh7iQ+Ch|5d@OEJ6cImN_It=-I9#mvy;{AUErvq`4*mY5U8{Nh^(Ei}FtvoBTq%%D
zX~r-yg<wn@z!;cUR8{5sRn<Z4R5x{?*+A#)YNyiy$AQ%jG#lugUF~!_;5abQ+7^gM
zl!Lok+X6ARQ$TJjd+#bCggBIDB<Gw<!_WacvNJx8OU=@R@D`_KtO9OS#2M0y2lEj^
z!cXl#4lmz-{Q4XDU5zme=aYw4R^(kEP71j5D&8gX(PA;m1se>u;gVrEbFJQg4;u`&
zqZzs&;sspAcUWw%tjPFo`q{iW!oIBp(<u?u+{8l@7XEav0zUg^-@N5DuYcg?2VQsM
zjW^zU(=A{kG5+GkZ>+!I$}4~3(EQM~Wm#66`Q~f7ZK_;^OGJ=}bjT9fBnz@jPI4hv
zek*wzd4xQVyqNqbc|+|WFaKfk3Gy4{i-e?$Dl3z;h+mjS@wA);fFmC-n~R~hj?3x%
z_dCbyJkU+2*)+v5TWK%aSc%ci@AAW<Fy&vjUnXg|Ec^XFU_h<@mgPN86i>@>Ih+6b
zBkSeEo8Q<xeCyMn9zFm0&!^&zq2oXN@WY7D7L-2y<|Y2jv!DHJ#D}S{e!ArTAN<8%
z{6*mGf6EPicLBTkCn)#-5K2Ss{{kYHzxk#&y@^qPN1bp!Z>9&`E_|Vmwl922*|u$I
zFS888I^}<kFX0Jwk9&hrx87w~mhow0(>kI~AtLTSVEeuekMj4pzhgU;n#Rb`lzRF+
zql{XCPbg6bpTif!7s+Yz9P(~LKu9fkS2jrtU?yx8+g+M1nb~|%ji-iP4BCn2d&xMC
z<UkgQEQ?zePFhP6Q+j1k42rR9`d&00Poa%pxHT;~1C|Y~z7*ck^#k1cV>vb7Wyjrm
z-O<*&O|MPNXKABe0tHTG;6s&7QV#Gjh6ty`G64M=qU98_1Sk4wLLUUcYv29ucPqp2
zgpiC&$`QJnd%UaFe76;M8Vy@p@YW-}zT<Eq`+@tUk1PyYq5q_-UCNnhwVEaDoD5?O
zEk}bAF8{1^cSJ2h3~CfDXUdO75P+5=`Tkp;eDX<4NJS}QOfinQ<7&p3=d20%V$(0d
zpTSSp0riQlBY!}?Oa7kx0Qfmk6eDShE`8Is57a=Ug@9$k>w>mOd3~!oi(-PsjXmti
zq!d{(vQXg=&14n8N@!r8sh}p#PI+>LrxunoEz0MCRlrsVRK(+GI*nMO)j8@k#Smqf
zumv<vBoQ(z2pj?daw}yynHIcnX{6J!DI0O8bQJs<bbH&|NB6e2DR-J^d;93#_ExV8
z`xUfW)7hazvnjFVh2c@J45bFoh$MGhsnr1(d<$6!N(ps6rzj%nNkx^f6*qt~M8w@Q
zm6XU80{Dt@*R}-;&vz{3Zfbbl%h$tE0iqVV{uhiR3dyy@C3iRzEvC4`xxD%QPQQA*
zs`|a&psJ1?tE$0oH*t6}?Q}Yw>E!UY(xXE7_Zr>iyF4wO7f!>NNVI7wN`(}rYWR_F
z8cM{=VDJ5TN*OgAj~h93RuzKVv7kUXi+Y}*(Ry33XvfRt$HQGlxA|d{ajIb5;3z0E
z?!;#mql~#ia8B*v(M`!HXO7^UGwXUye^7r_-ObL5xyiA#SAJ0$@-X`%L@5Fz!<30{
zE5%gcmbaV4rQfjS$Gw>sB$uq0-Nf_%PeJS6)4G6Bh;Z`$L<pd9M1_bSI0+a<0Ntnc
zv<?(FZWuZ)D5Zl~pE#l8Kr4lz>j$<CDuAgQ1ejP6Vl+AmS{Vp2VodPsOplHt#K=l8
z2;BXzfQyZKzh7^l>o^d-@P!dLj!OrPPB%@_1tN%b@HzMoxJ+i`QOrM!KS%yTgUt<G
zUGudJl{T1oy+etYFueAn+KMfEYDMuk5=B6va9nun04?9}1Y46WN?(af<)vworcB_G
zPj)Aj;bp2M%jdIWhLag*7PRa&r=DGWJ>i1X%QAfn9AUyq(p>*vi!_n&S-rA)BWA;m
z&1?$DS-r6Xh=!q*V$AW5tgHxRZoOVhmFc)WM+RXWSq#N+I0xJDJY~Q*ju-`4YcCa@
zE}YFrvSph3O~3^}Pk>mV5rk1LK&&Mx02i<cTmWQ)sSw-w2u<ZUp5N)z>w)XFkeQb2
z7$5{!QkoV6DZ`)-j59+8_1Ki~Rx=1Fm}Y0|fx*Vc(o!%3!(dbhgK^JiQc$3#)$VNF
zvwNiZe>ZA1tr1WN3Z54RT01<B!U)`6f0VZ=y<xMiH2}DdP8aj*ua}|^AOu~t`bo?{
zaA1wbNJvMB-F^>*7!8l#=b9D+?s;L9hRtp899v5hq!P9nXw5hW-;W{#xMeCkG#t`4
z{WHBcB+m?*)8Q-oSm9L6+~WFwZ2!IR;Qo8FosQtatf&7GG;r_uMl0gnHVvD_o@pde
z=!~@Eu=e?GPfRFWvh8s8UB7$t{7thsn73MPq;>4N$hPi{qK%$cqf}mlrPeQ}2M6RH
zd?gSvB~NGQ)8(*4J9&|Jw6@c7tn1k-$MydJvvSe6WLPfB`t#Y6&F53hyD9tC%I<!q
zCJ0{C8z~sQI4=tK_w<fQ(VJ#4TkIGp*R<92;ks$U76LeZlLHPpH!aSG2+Zm`)LVS3
zO|zcCn<mY`2!Wfw)LofoJ^N7IG`0Z2>02CN#JFWKJ_6uY&qaVO!>kYQLEFaXD#&(i
z#4G*nCRZZb3DJHNpNqDQQ{BT$ztGN^`&8N>&mym5k4B@)Y_c-EWI@10G1!(0IUGFE
znTCfS&%?E8iEt;7rXiSWK~5%;EuGY2gVO{I3Y@0zYnKW+l=m4O+ZqPN9TBxBygS^=
zbAX~)Y>h_vKeS<l&A?|s1q?&a1Wrym3a$u<oC#`Kwl63$hKw^qw*voe12U$x_yzAZ
z)BVv6H{6gWxW0bk*yaY}`o@Xn><f91k8K(NkyX>@1&s2oD-luIVJHF6vRqp!3LF#w
z=Xlmjs6iPI4MWlTRVjD({{aR-=1Rfg@0{JdqTfi8<osy$#QGY-#>Vjz>uVVL^vT^r
z9wq-x2;f~c2=xp1$-WH(B@U-Qm^lRz><?EzC`TZ)$Km3~d?lT3qhWbeNRg%TsIAhq
z5Z3lO&qgb{y5V+XaOs2@;-)ewCzshuOGy{?EO@e6UR2ZR97e)*V~VnX%PkriZ7IXp
zl!>&$NU4??(N>E_Mn|eBv_vY+I8w50#@K#QjTEV{cK@d=XE!%DD^^4c$1jT5Ua^zm
z$aShH=Zl3X;<@XNhN-n;rGlB1`!xZ>GzI8%*7H_N+Y&kYTtosTbmKVIW)vyaGGo?g
zu-I&B6~?BDl@$e2HLaMo+cdUXN=Kn3*FCRZ^E}V1)jiL59B0W+v)prM>5^D1M3GE<
zH_H=e*^P>!<ISQ%%r*pyP_O_53R|~Y#d^B~X*!fOpHqv8m=HoZQ8?!RUKo)vd5pY@
z<Q*N$S(O)Xw@3%Y=e{knki-R(znmLGdf~fHC!ToRX1!^Pc{#{90X=JJEXyLKWVtyj
zy4p6DVZ!zMUiggd!2rJ3@0>UZkQLn&HE0Z@FbE^i0Gh^w@%fZKQiD*Pa=dfv5diQF
z1JFnCD7cVbcm2teCj)>+b$vIeGgR>h<;woITl4ve@98i827(P|5Ksm2K)%UG0PlY1
zKaSp`jb;;Y8^E-@S`9H?ZY(3c;`{sG_{vwlve~!H@y?Oyq=WIG?6=_u@L4h-XUHQM
z!D-><MDs1ojX~IDfWzcK--emk1gj1D2!!4(qn0c(B_32o4MfVJ6P9Z6Q93E{QB4&*
zzwbIqwp*>V*{JVKBPr9`N~2yEJc(;{_tz+mqdNH3uTsww41gIruo*=v%}!?mmD^}Y
zVH&#ArgShI`X;4}E5$^JiPxz8_jEfQS0WA8YIPH_JhFSFpT26j+jA}7HzY+AeOoIt
z8I3lYNs3`quLr+KY3O;9AsA`D->+MinYY@F#L~VWcc#-LM-OKMU`#|Uq{~}dWk0l}
zv>n6pJSS|m!jG7iraGn+pv!p6p#%vYTqgT)nbb&8cUYT276e(PEdTPtyv&F+BTu`P
z=kK}s=9~BK8N?B+t{gpIZEUpL?X1yAJNN0dAOG@~zx*|CFxb9sd1;?~8Ej}Yj_%g#
z@I4uQZv!rqpq?#Ci51#iSWZh?#%1=Z=TztKn!RMY_cK59GqCbkknDftBeljW`)_g>
zFTx3;$Sw=6B|k#mL_SJLC^F_@y-XE|oOA-h{lQIpt=;sEClxk4`|6a+Dv<~`raA_Y
zQA1em%X!7V3KDRG_fRJXbI8MW8dA_#Wei@Qr5&<cRLR;AdR#s(C({>Lk!6RZn%+{J
zE5mHNwh)d~%G5$ymK265m6Vh*YwZ`0VqjRNxWBW~@dH0-pX+2<whXYGeYoR5%X1rb
z*MlanwIH8^Z6~UZ&>9$q_h4dMdfv@o*qu@la>fPpozQk6bOJ#EC<m<9JDu263TWNT
z5|GLuE^HQtk%ZbnhtbiOzVxNz;0Nti;6nrQ5nTN-sHOMDmTg&42sIN~9-3CF)Or=B
zt@RaP8ufQS`siDA3{c~LFaM{w2OlH`i8*`BK7(8&KSe&BiJuYN`!wo3cw1#D;*{|1
z#2`#llBjqTfZ0n}N@)h(e>wl!={qmoyDoc2sq<^o0|egIgRv$_WMV>Ma~pgok-Pp!
zHmNGuXxD1(aZrOa`ZLHKztWzqm8~@#rc!|v2vTXf@L%wZOBI=#F;hE&bEO%Vjxt^k
zmK9Coc5GR28|J=gLP-6nF#_zxM)Y7D$91SDLu3x6jJ1u?Up1kE#!(wEQV90{+`k0(
z>|ctWN`N-B(hCj40mHDb1Swrd3NR>AEL1`Pf*_6^AGt9YM_r#SBFlRHre(#ouC>gh
z;48#t3&8VEcCWwwX~G2`2M_uA8Pz<v3=hH=NQ0cnXk9=fw8!z7y&D{Db@rKQgvaWl
zU?PsDiNC9X%Xl#nqcX1Z!N{8lYEIHb{+3~yAo`(U0ve`)l+oAL^W|YDiWI_foB*#k
zvOyPUy$5bkv)^wvHD@e%M;gZrxp2MqTitBfPvV%OX||51sTFC*aR531hT&R{T_B`N
z4-Y*LfC~okU@%`^UCoPjG88p7Mx&+WtleyO_WyioHe0WEx@nE=f9B(Bn;ZS5`FvwI
z8pYn`#v0)ev7Uqf#*6S8aus<Ac@=pR`FZlI<gY+M53YlU;Bj~pyps?PHgag{W8%+n
zQpjI2E~8B01DLQxfdlCeh<^zI0K{TvB8SShh$BFC?QAfw9UpC}!-@x>FjJvYNhu9`
z(HL{QyGTVww$@S<7c&qF?MX2z{2f_Ul3WQ4hl4{^vEpo8{;Q-~%;)~JoK#jB@Qo2x
zrQ%&9^Rg%hne>rnryHa_p3g<)>uwZR>9Pzg?$|gkld6)-aFdwmxmi|}<4j6R4p~$v
zpB{*{@$&-Jlh0CI8JQ^@rZl7zEd>YQ&==iCb})@ZpJ|T+@Iyiz65<fD&4$e=4ZOl4
zlwh+_cPI-YU|u2#TTt<Jr3UZ=Rn=R9i{1o~a<9<nl22j(AL)@0#$~$<5r>R=hz&KR
zRHye{2XvRQFKb;2z(#Z(0yySlfcR^S?b1mqQ8uFV2x5pBBJknW02ccNZLs$LDF>iO
zDBGoQCBW4IF%(m#%7Oyu<8jnNyXXTP2hhwo4sbjGrkOl0S)bDWKpT&H8G}_tumB)}
zz(+)?EkG${G<nf&0ORL8Xn_da0?)uTC<+wb#&8HQM0Pg<K#XjSqXy8(*BBN&?#SH_
z{n9V}(v*{(VK_w8K=0xhA$uj*Hq>8QQm4$Hf|HhKh%u!ZVuE1S`?w@v5L0kK$~*0~
zGiQE;**v)nDZtBL1=aa{VkGL|_YvXO$&5VRf0<D)5%m~3E)C@h$ANqMG%sfJ3gu!W
zzK%C7Q?r=DV?n>otw*uLhi^N*b7-lsoRyXHHg7h#H4-d{I-Mlu%ra9)G@Hy^$_9zg
zIK;sFy<HATihL6>NxR)n&9W$8Vvwf57K6E=vO!gyI={6=fBoslkK3wNAD2gOzv9Y)
zuuq?|xVO})*C_gas~$%tcTS%+nA_>B^_vZkCGa;xRgKFo@<Tg}wzqq=I^(`mtF<<2
z$aW5KtZ$yX<?wj3QCH^S-Ma{J2|4%{68LFymF8#F=aDy(A0zK4A10q7zeB!B{+#>^
zaH!b|qX#VLwhA_eC>ctteK_4<qJn5P9>+FvmWgEhvXvLgIz0fuR7c1>B$)K{@PtHJ
z9}-6LLIS|h{Mu`Ek)*j?R8U6DJXAlj^ldgz33PCny@E@(Rk<JvkGkU7H{=1=JPo07
zU_j~8!-opTRb2}aN9|5u3dXW-H;#nRfLbq8ndzG=zPtZRSs|jh+wD_|RLWkv6GcL5
zK+e~iO@Ml1<#nxEYFmscfc_v#g?LP<G!=%FousCel!j;;mT9MHn%bsi7?x=#wOV4E
zmho#+X_?lPa->wU7EAqf&*^kr_c6QP=pY41qd^}*QfAep7_?mmahxe_xUTV7y&L#8
zWdgCEMJeZX&vjkbwY^uPYo%#RiZsmn2$BVi8?Iw0IgAs4G|hiJv~2*}4nx}pu<a0B
zq+G1``<7`KZ6O%znx<)WyQ@l5>O^sxCb5gC^=hYMnTFX$id2fGVVG90w<aZ^lf<<&
zj@%n-S_{=|7Mv^Es&nywYzujkI`&IAwQbu@<5O`Mg@|Do#Zeqa0AUoxQ`?SHPHp=t
z+qP}W)A)IQ2oU<a(l8oG0qQNPlp59Ra{mX2W@H7f>sb_g-CqB`#8y()>O-X!wi=Ar
zy$B%mJE1L<u5nRsQz=Bh{|ta$x7$OsJ=gI(-*&;a!_c+?Y&#5X8+<J0pTvvsN#c;S
zK1is#O99e@r!;GlBrP+plb)nyHPX4>tF)}($Ok|8!E5R-u3z)hOUuj4xO@XVVi?BH
zML)Ga`MIC_IpYH%e3HtC%GX~HPwjv7Rj+#0t2VpcuD5M$dY;$STRfajG{cK<71<(B
zCm$!@B0nJegp8^n7%o7n2!zUJTmq>K3uG0Yq?q9ogRdl4fi%-usk<OSG15>3eYFFH
z-f)U}CE_BR*=8E?QUKS!P#=t<%8#cP6|MwZxI9~$&GYpCDgc{$nl={&1MB^1^3Ncq
zXG5`0(Sp8VouXu5nMkLYCNjeZ0AVE(5dzd|01%331^n1oaa|$d5z1l=JU<SHP0t5B
z{pz8q6~tj2Tb}3kd=G5f+kcOQE9adOa5)koLYe}Gj-hL=77YJ}(F6nETcUbID~$oP
zl#atVwmr}7t>%A#_ukh@5=fFkr{M;EU)>Gh`~8kgTd@6?u4(yWTEn_&+3tWM9k`Zd
z*AVJ->|3U*q=Xg-se6FJwCz@aj-7<2$pIMS(gwe42my|hB!<a%!1-l5_HENqQeqQ?
z)V5{$V_JinZQAaD0vkBCW!3P<>y86J2LL;O+_LRffR3GnrpXsy`4l8^QN&5m%!fKS
z1P%vP1rO}usP4km|L=vL!H<CN?I7F>kHY)H$HHfHI!C<QSp>OxK83JkH5Tg9LYAw3
zjt_2qTk;6EjoSz*%*!V~lS#$0-K_QF1*cprvlhTpK}=;D1pE!;PGZk0geo^{lfB&W
z(hA+1OtYV7nZZ+F;0f-;?XGGUyKUP}DN74mqG>~h@`le%wB8I2Ely|>i*oyV{+!KR
zLvv$%j?~>oeCTSis|l4HNGE{Z9NqP9(Jne#R8NJ38bYghHCzGsue|{>8O4%jtaX)A
zKvCp_#$*&A**Z>P4vn=|vntyjIv_j|F^T&Xu!_^vLp&rU43O2`JQo=ZZ@g^1_AX5h
zr>jw#Dn=r7Hcj^SP8Y+GjjvsQ@yYyn@6dT=2E$Pq0U#v%`*AQP>`OTi{IERoOu*V1
zDGUcZ+y{z+2onGok+pz|7?Bkd6<P_qjJ+#>5fbN6DFzs_&5aGNLfy<yqKG4VlxO3r
zLO^Jm^UK#HX<{v@tSN~Lgc|+$V-dB8W&lwvI%5=3@2wDkMQa9Q<!zOv6!grlUJUU1
zh*abdZHSx#LSXA$x0{9WYPT~&qtwW(i?XU*EC3)Hpa@Cq9cV@c0951z!6zoc5PAD7
zOY^emyCU!R##5qhJsdS%K@n|8u^7V|(&F^w>@0*PuItfcFpTzly(01ez*W^B7X_Ip
z3<kqtT5iQE!pShpGb@Nq<b4!{s2W9+0-`(Y*EL3w^I91er7B~YK<{$gPpIgAN_hcM
z<N{*19FtNK^+WKAi#+n2u3!ag%RyDcXC#_6=UG;UjMS?GTse4BaS|t3<V^^kGm)yc
z8;HkOCCmn5YpH<J#ad@Z$POpI3(s@IB)r?`yj~HusD?8+V5^r}f@fawidS4)yyXx7
z@QKS`*=#m%d~W;oUk}ee_Sog~@cjNy{KVxSz(I#P=?j0D?|P3rS!axbz|UKHqqOMO
z@dcUI5#L#z#rMDb<u9MjX21B0zqtRFx9q>NZQK5P4Hh5yoliXRw+}t^(B<F0!#hBE
z`L7Q=0EhlaN;;3?0Ion$zw>b1i8~d;qHAw;-oEpZ@Dg|(Ct_S~->z-i>Ad>i%gwx*
z)7WN3{q_N>cADYZLe);4B%2O#ImWrAYz;?~W;IpxH|EsF*G#w)?9fHLid8SM@k0y?
zw>WIDH0Ff2p&-hMOsa*dby_xMGw1BaU{11|F|hS@>+ft;6r4Tk)KTk$shj$7VyWD~
zceh*Lf#ty+kWJBgPzpdc%Xcq|VqIjnZ)X=pQOwKty?y(3c5#v2ek4hLDL;9qlW)`7
z+7RM61Z%a{+8PHK;y9?ujMq9*O2j(ntrbyf%&)ZGx&1}(hR6N|;QsrS^8no<yM1q7
zGyvWa+;<<qzdU9Ed;o9{Tksy-h*>kwgjp-CG%)jwSu>9;O#BP&!|r1V>`#?tS>%BE
zSD&7qo__R4zvJ22+1WdP^hba6(@%f2dj9$6pMTSv-t?w7g|K?^=B0R1fn!e+8$#@@
zd*=PldT$+%nS!15Z!aP)R*J|VM6CNKAN5fu{VG+hHKa(zPLTG!7}-)6Gr2=e-B=`U
zltq%Dbr3?Un(>#?WF2@*+VafVN6*gA&W?|LS&Zv^7(Negf@|<ncpBahe2(G&`v9ro
z3Szg$i*_B7E#fJJDpUeMPT>M8f`Ul8!ii+@sI5+?5_?aEI913eT3e;rsWS{Ts7e(4
z<B}}`lS^)6GM*iQOS9>$)owzwgY*yM>`4f#S{0dtYeHJ`Y#i8~-XT9-z{6&yvE}&N
zc0=Xq-|aXokkrFg>fLrTS&G|bP({x~D~sKBqZOC<v<|n6_6W;^JixU;5vo0#FLD9#
z%>qt#v|G550w)F%+`7ti(c<%<6<F&XFtdh|YEO?SLdY89C{476D2gI<K6nBSfx*vF
z2}&cPLy~A^jEyvd^VOy#dpDzqz>8+|ftn9(6NzIg)b%8*G-yU*#dB<uM2MKAAxJ2j
z+?-LfNI)d^|DlNTtSli#G)7Ep>V}dkR3fE4U_86p*?12iLQyEs@*JFP25}6C*0P2Y
zNhN8L0O9}rFghn1kyUjKnbw*SopT;g1R9?vC<eV$ADh=2t3$PQt$`oaeMsXNFsdF}
z1u!<oIAH?KO`U?ZAH$61D5@)eI2oWg8YvhPQ$d{MMXZo?JRa|7S`ll8syaG4*vHU_
zLP?D+jaQ%*V4e#i1m9Zq7{oZyKzVKjK$~7S25UjHF-h8_fYTxZSduC=4IdX}PHV6r
zOk~UyJZ0R}k!jFK%!(ud>^6zRO_>E2aK>02jk6X+6nc+0D9gm$XKFIK>zrn5Mc_lh
zdto2dO<q9KAJ8Y&G32T=fX??4W0DvVM1seBI<l&hzHk@brw*5r-@Mylvub1mcUs}N
zU-H0mxm-T8TCG-huE#qqm&@gw;YF7}^dFZmhwr?6Ieh1T{71*VaM^hUJ`X1y-AO!1
zrjK>rt@BH~->&NHnt3yetkS7>3}#tUmG9Jz=*dHCUN8tdY5Oy_q?{^EqnUL&N8z^N
z)6Gq_jhoH3zgw2T$`CS?6cKmxR7Ur{Vg0|Qgx}TiZs-mXRd@nxumfvf_t)g8+EhZW
zb2iPh*qhIo&1PkOy|^~tyMQkU*5IH|U`!a@xN+mgLpN^RxUrX@=k-YhQQ-m@C0UB&
zaunuBELaJx@ZG21JEH3s^+~TMfEb0-8_w2QIZ=obU@&&B?8W=TK@@1A>#XFWm;XK?
z()H<E5oO{2X#n%E3#~Qe9+NkMF`?HB#=r-@*L(f=pp62^kBLGE0TD6sA&LfmQ51Y8
zgb-drg#$b0BmjiHBR<<Ss7{N@r2q*8-|NmF8nI-_UOl2wL-rb?HV<!?cn?r*(=@YX
z`IHY35x(qAhxXok?>#PZOtO!AIq1)1<%PTOfpB-cwAm^8b&$joL(utC-hJukectCi
zcKh~Y=jZ1a55Dhv!`;i@g~Q9=ebbvBee}^sfA@E7)M30lez4PJj%n26oe$_d-}$`G
z*LJ=|6W?@)Y~Qp*G&UOZ&V;G28-Haa)H>PebptGHXxc#&@zeuKfnGcE^Jge8wyW2e
z=Q*FsK=s{i<}Bu4bVt>v;JVSN)#`9-hS14YG_$WcJ3EU)Ra=fCoJ<}gqS?81PV3<9
zljrB>=a;{d)OB4C(hTA_sR+_ux7X!)s?H=%OT^ct>HdD6m*v5Jp7$f?;BDbi5U~Y)
zS>NLP98A+oY{s~}>k<Y@f*3L3!`VQ4eq6QIerg#!fSyos?<|U<=nLN20iGa0^b%|B
zk$cdAKQ&R@)Xr)hJjBNyAcSt$Ij!Af%0=0ApBxt@_yY^fiP$U=8Qo9b|D0V}DvHy2
zS$znY2TbsJ9y}a;L7bKG`@xUqRD&*O`OOqNtipzqJIQsg=<bc5&1ds3!m9_fqsg5+
zkFM8X*|fsJUR?nsN%!#d<mhFOJignO9ECqPh}8f39vz@{*~bn5PETKcbu>&<??NaG
zV<1H3N9@n$uUL=AY38i=**cs3L-=0!iq52xCy4!JGrvc`2{GJ*i!VhvQD|(NT{rqW
zNXd4&Yz#n_4Tt;tqv6T%%-PYwepADTG|r|;)AXVuk7GPO*}-$UF<P>`8~VrBuGtcp
zc0Rj@fL6=fw~wxXk$QUN%5;h_9G;$>jeV$>muhhb@O|OKJB!YHbUvo@o1K4yBY3ww
z(T4RUca72%0wf4Ootif^pQAUMujfUeQC(q~1Ol5*r|qnvbQQ2}5!GL--MH&Lut6F{
z;zcWQ5or?~H_xr)((fkOp+rZOaYatA*X)=iE6;o{X5<NBBuJdZ$!fV<JBb1oGQ8qh
zO*v$R59yXB<D;@-jb08+h;qEMTkc*DZQyyXB&NEX?PhbfM}WIvOD0%O_;fn^{9(-`
zf!i3x0-I4(%)e2KcD9L0l=l9f2ln@`F8ck~zDj8?N?+X^%?5ph3V?OLcQSwEen9wA
zrBsy}Je&oHx1gO@05F)0V}~y66Co;f6|m|xjsdjat1|dG0ElD5#;{VfE-!dVEl;zo
za6(k%MU$fd*rhcJ05cZ|iI}I5RmM0XQc(y-ZTcb##rd+Rb5z)#f|)tXL=1@q(1gqd
z1AKH*;=5X-f>(f}aqe1U?IkfrCE6I<i?uqODoSUG7y%~PDawBcD<tM|+WS*Z?f^ks
zMSEFbdD}$d(GAQEz?#lT0<xe;!2Ys0F7&ddcqu?FJgmCC?pOd$5fbcWX`1Z8>@AOD
z5s^4P1%;U6NKY8rYeo@>vH7+iqX0A)Nm4tjC{dTWYOMj@O}O+L;dz8WK*~B75Q{0o
zZ%I+Bj}V|0UWLrMa#3XwO$c>0>9hdI(%U12kblT_!%V0((Mw*+tTi)G_8qj=1`ulN
z9($Z9JNUhKQe-4YN5C!#UJtdKzlHM8?feBC!ISVQoz89zt|`!@BR$aZe74!38_R7>
z*BPlZo6ngY$r>5dd$N_EdJX@TyX|hBnNDO;F?DzI>&;#QTS+LJC{X0Ti`8<q-25z}
zUEV@A`P-Ms=xFf1SI?_WRaWK3{y2+v(=MyUY9|v<=9A|&Czr{(U9<xr*g-kHwc{<|
zcP~|n@Aw~Lh|^UXv-m0D>{h_lVRkK(?h)=nX#o};UkW_cV75x@&6^>sN~4t>WHEe^
zNERzzeIVI8Pl#mTSZFHy3t(-U;)Pe%i8vfam(^ZVud6kHI;X3QFd}7*F-V}CBlvJi
zlB`I~lU5W_0I_w5gbpAInh_PBUvZKeq%^rWP7ULyDTcqQK|Shui`Mmt00jW@7`L&C
zYz@FCDfPgex;j1{^slX~RVs@bCEEx0r&XmDfN`M;`+MheO>CFQ#%5`r;Irh5BxYu0
zv(eR{RjL90Jp|T=7y(pq9ECoD1B?mKqe?iNCDX2d&k#9d41N41)#{~Pq`H~SwN{E_
z=8r+E1Y_n4G56k%0^t@^;kDKRG~KE)qSUjw6$0|2N~)#rF|9MJ0g@oIc#abHq!glu
z7ln9dt>Pq#-tpVM?c35aG42)=%uQa@Wsd={OCH&b%QBe11RR3k&nk}kTI2VXL0t4a
zXLBRx;y#g4!~FdxL=IjM9RgkJibA`zU+b!`wA66Jih1EKTsyx*WN-O-TeOADn|b(7
z_k(MnfARbE15Z8m)Kj1@|L23BeDcZP`@JW9`Tjlq!|<h@Ugx;8vvH}~0heKKv$-jt
zrIPQ<iKg&Tm){3>F2Apzr2uKxhdaGnPosDFt4}}u^zHY4<Ojd<fd?LV`tGCe4_^vt
z*1!C|iK@VzewM=P-}I)B{^-kpeD1mDp8Kee;t4+eQFsA<Sl;~nE1g{hHkcThO<Rte
zvk5=Av2q<2@Np2zy^qv^$>jQtJDl;~?429eClk1Pc6R#wg}wU_XKCHJe!KMgop<}S
zU;DLRJ3D*b+1Zt%FXSWK+3&m#aqAiGco-r^fkx$C?>w1IS@~(sHaKT+iC`SiDtWA+
z|Asfb;SJA{2d*(-yN?c*UV1PYju1z~$wAtaNB(Zz-EOz<vHe5vB0J*ayL)4zy>Yjf
z9=?|ZsHEE)?-7mn?jP>iF*x6JdR&jt@en;dWU}_4tvZ~MJ<hX_J@(k+k3n!ho%xQ(
zAA|51U**?k@T1@ZI&tTo&YL=))%ohq_jEeN+6CyU)v8@?=DyI7qI#D-u(W9>EtBg_
zS(r(nSYS)fJW|2yw5|<ry9IW5TH=%aJ5KcN;$(keel#1q8xlXGjQ0$Ql`{?*<QQs&
zM=S%46zZqt|4S!CCzKDryFP5Dcyr$aNHG{liQqM93%+aA4_St&rCkcxY!wkTP0D+7
zpRxWZX5gmv$OGp2imUw}`n6gZ0$s*>f3wpC=yo<6K>&WxX!=3mH{WF`J=`fQTPdY%
z7*P5<lzu)iucv_fe@p4>t))KCOq0IM1^W6ddUk5or4|4VvUN0EaGZMEO_lASk8I#^
z#SEhng%?5VBwhX#0=+eaZfA3&+kuY-VZ9mn%!=>m2k-->EK4h;Y)dJBY#CC+i||ma
zl}~sTxtBaneu8|Q5Ktqq>1xkoELQcmp3VnSi9~u{FqzAu#q5>kAgipr<IH!yD&wSp
z&Mz!9Agx2e=yHI0*UJGTYyv~{jeNQf0rqY_d2*=$D3(s1y!rM^y7lb2l~sV%m2+or
z{ZZ$G!t+wb9nR~v&0jJajkFZ?Aao<f9H)1t|C!Nfq=kq*FX8te8OBDO3P8r&LWZOM
zcc0@gEkt7k+#JV)Y-uSQkXvE?xEVi9@_chM&y)0TA5ZUV2o7g}^ZGN_D7s;z9(X_Z
z^)*1HJU92E#OoRc6?o6jJu>yrrVjkO-<);uW%yV46e-D+Tw$%&jB&y98npC>^PMpF
zR-|?TF}#Om|2xkbp`Tp~90GvV;V6#dcr;u+x4td_8H=FTud0)$s;b|E+aG_YvP>|9
zYr3_%WeT1o?N+<x`R(>{6XIx;FR$dIC<Z#6o<-zheKx<Ie6Fen;|M?R`K?yFoy0;|
zR;}JyZs!MTQc1|cKj0p`gKUzc<XUn!c@Fte@-_zHL{^?&<>(dLO(Up<h#bY^;l%7*
z8L%c|=Mf8R?7jwPS%e@e@5%f*u7KW~-t?wXtEqLfIeK$^TqAG0vfI;?>R$KC+wOmK
zcD(;*^n>)bM+QnSF?Q*nR}1e*lHo8(96SEk*mlAo=R6O>yK?*gPH9SMDg--tBY7#M
z=>uEsP6ZCTule9V4?YKv!(}og$H;@^CFCc`FOV;jKjz1>H7`Xk47z+bWr`Gi3I&ZN
z*&3VU@&qGJlQc5?!ma{=C=W>}X_Pj#bSO$<O2(d`k!ngAiPWL^RS|%wG${z=5pNB{
zH|GzE@mNx0;<goUo*fJSFVDPyL`el{+8GY|QOnR#NFhxJ>1cFhcY2dFBF5Gy+E5C0
z9CbRO7e=E;S*_k^DAo21O~G-rwh?W{f^a4PjyQH0^f(jTw{4|2HW4uH?(A$IYFdtC
z1a`A!nc36NUtbjUr$%8g9?xB;m!$2KQT)~2qkHSFyE0xZih`o;Ojp;s-EPV_E=OUt
zIBMzFaYg|sqZFBxLI6_NmJ-40xlXOs%$GY|&tGXY<G9i2wELgbD)1YPVd8pV7@i+d
z^j$ZMI{W{G5H^~Apphd`%TAK|5s*SD#*msqNTeX7vMlKd?z#4|<=B))LJ0sy1&4c0
z37k<zsb$96Fy5>HC{q$#%LeqBCWOGj!NH&4Mfh2A2O%J2SqfQ}LJBE<XAeztQ2>vC
z8ZeDL@=-W-Gb4bK`^4o%wU7<1eY2>>C0?9{Aw%Gd8_M$?$+T&jXXf*5%U**dEN8P@
z00f<Ly*pow=Vg^7fX!xEO{a4Vf;cw)MLJUz#r?d~PT*&=dfjGdB%Q=DP06SX!U&UO
zsFVjvC8lWt6Za@I7}ExV=hAe!zS0k^tpcUC-Dw*ppa@38mCZ0vzGVCBWI&FR^FG!K
zuC?eXmUNvkO={<7gSmOs^$)(MWHsQ1z)tJxHfQod!TE#PV31{JwzhgbfNZd}b^PSk
z)}Rm2?QLzHy=`j?aQo0r*B>UuE4TmPgAcy=#SaQ|f#Z&5*<kQ8==ZCw(^qU&ycIp2
z-qzOX6I)w@0j$%Vo%1&y+NMw~?!0+>8!<%~`}BH_)vWuNq;Fq3+09o-cB|-IOb4Kj
z7L#fg;*NmRKww^Wia`R*3^{pxLc5UvwLhT#>l7dPg>%`&L)$m)7DX7roid7&_VQrR
zY_+LGq>jD5cF*O`=6L;X6$W8z(CQ76L<t@l+BA|M6+1gO!l$6uueQ!Cl3(55+B#MJ
z*Sf<S4{amV>a{vwZrTpyd1sJ7J?S^kh=`)qH=ytDuBN6@6p-{|r96t7G0ydNqj}Sz
z!#>50eSdoa@5jb{4NK4~ty#sApGJYd5jAF%Oql_vY|F~DOv^}WZgr7OvuRlx#3B*U
z1RVjPzecegQZ)6L;s@ups@`YrJHEA*4PaSJf7A9MG>@?~Z5mm&wvrmsww)vl)$JE)
z6czc7$(y~nnlW~!MS0w91!h_t9x8EtZ<w`P8gAa+M)7+16lG(g_-niW{v})e-luie
zZFeZ3-I>%I=xi{`OryO8vR+G5{CwE4v`7K;rUkHUn4^s-VhnJ5`{q{tu>WSgGLq1{
zbGa4-aEvg`^1Mt-;RwT8i%%=u^{z6rNBUYQ8?oUf`Llale;}oQv~@`A?d=}B9x#gX
zeEXI|hYrz7<VTOMrc1|L=cCn?lQ(Z~qk3S8WqYly!U_s}CO=epElm=9V<2kNAP642
z$GB-a%(@-K?d_X;&Gq#z-XvSL(Ye*$Jv*IKP-gNb`N6-_yMFaofAv?jvG0aG&CB@q
z)z#J2>sD4)R`xl1B@TjnD7KhxS>_e@pyphKd!KGz<nvWRlkZn6E73@FB8)-~e4%gK
zpd6R>-#^nmGnqzFaxH@>YPD*997jW@wbQcgE7xXGOlfmt<IoqMdg>`RNxY>fj=eMO
zE1PR;^P9G}s05w_svN<h*xfyzxk1@%S*8^JS{{DtO452iO0`DVY`5UY@4x^4I)Jz0
z3r@@aO1%bjYx|~VJ*L*e_x;<$QF1N0mpp4fV^(H(v7>1{SAu8{Wk5v|k-;YE_YtG-
zVMgxnZx@M-<PXlWzxIrtn$PF+pkAZ2Ru3SGq7b-aBV^A%dGh3-Sr`URc)Q(hr4a8%
z{#vKEwtA<pXkYuG2mTw-vNkp>8=rL@3fa!_S#MawAW)kpmN5))S*16Tr<3P$SH$h&
zZrV0LKg7V~w6>V7%5fRZXLQadahb}94Nx2wNP0h*XaS2cnmXzHx{1qboBD%OAL5*I
z*L5ArYqfUa?;YJa@ss6gc;53sE-fvMis5{HeVZ%!LrUps6jBJVil2}?*=+6A&@`v*
zqr1`hwY4?eSl>M4d7kIH`ReLwxEgMoU&ou|-lZoX^$n5+6J8@o>1s^Je^=z797ujn
z@1DKRAGCV5jN&wP%T~*@pxZm%9Sn>kbQXpIf@Rq@hlvO$Wwf9^0sq``97_Rd((N`U
zOG}7xyuA?wn@hgW7_5~gSuTGzf7PZwk%4eEsgg9x5Ob?4d7F+FQ^!pz!R7j*v}%+T
zvocxrU^D(_&7&xia8|k^j^?)HTeEq%$Z=5)B41`o0qA8#tK6_|Tcm*jy2)eg>b!e)
z_~@1I2@ZyiOMPcWO-|LJX-Jg<rVQCV9;24s@{y@C>o={IOmM0+m;idV?l38lDlmX?
zE;$SI;hT#KK>4-Ja1IpZGY@M34QN}3_9WH!+A>*_pnG=;3I?EMRc94|0o1XN-fe<)
zbI0#6&J3%W0Jm-%0O~3b5Vs_Nita0&hD4vbL*W5^l-J#djKMMXukH_$FG&S~xXk9=
zIppBJb+3a$D>h)<1O^Q3HN8>Sq1X)hVwHRGNXTqJ#(A;u0j4v9d^$y5aQ7VLYkh{K
z%%oZ)=co;291R0GLqnrrs0~zrN-<}3D(SR8mkBc;=9q>Gib}Cyx^qn&#~@`Q0c0X2
z#90Krn>N|m{ys>3r(sS{nP9BnWtumfFwN_>4dXUT1E^*y&Kc(FHKuv`oM~Qv)-(_8
zndXI5A*i)fyx`zl5I;YKecm_smE<<^v~7G{4vS1QQ_Z+^X73h?UoIwK^lPS^e-l5(
zdcX#-UuVI>1~lGa!QwZUmzTk;p83gVKJ%H++~55WejMyyw*l-0SpUO9uosU$VBymH
zZh8OvmqmP>T+1B8-T9M?$ECRP5iOpNCuU=*&qSdTmGx(H_pFKbFe2yp@Zp3L`tNHU
z=FE@_1gSd93_z-msg>H@@1J~_uC2{xYism+#RVwm{?M&;yL6)-)H_`&r2WYHaYeF+
z7h#WFL+&NdByS||Vpu57%5;OK!4+LFzvKr}Ks(HM(1tM<JC9dcWQw{~lukPsqax+d
znMQyN)1rWP3nko@e7;B*#Gul$ImMFP#Eh{Mk@oQ%@bfU<RaI3rGNZM69J2xIE<qe0
zvk=p?)vxyedXS7-VJN|KJ4Ff|;JdBi)Ak=rZO5_G#Bm%a`5l;sO5u7O?%#j$;>9G+
zR^lj%R%=Nj`ZA8Akluaw-FNdONn#54tY<yzSy2<TuEziamML8XAvUi2dEe7U9UQmD
zcwpOrEyJ*!<Bsvz;)^c_$EnvH2jF_`n;QsH84UogiXen29`@o046`0^ZkX-3t+k<B
zgm7XVd>ei_{*d%x@*46<3oRzn2ho<4WO^ZyU5KK*E%QvQ339D|E(O$uUqPRa)0HA3
zRX~CT>-*@SjAzw2y*%iyT$<;_$gFldN{jNzfg>{}Lm*6(m`_e0hKumc(cTH?EX*xL
zQoiXFIv!$<f@l6*nIuDP*pAx`9RO6RuuaBn=~4<kLj$#)ST~||!@!gqhCz{Xi*D4`
zj~&}>q)8TDpKA|IOSq675Z86lhLlqV2!cbK(RVAUGr>K|2aYcoBI7<Ng$PuM^9b~z
z_Y=3#D>8#pe3z9ZK4aZ(*9<H(?>j2+000xmTEj4Q9Rw#Hm*r}|9R{`l#*KRG@Rfbj
z@}&@=fK&C+y2ZdM#yhjO0zeFgfsFEzLdc@!ALr6+G9C)n^lf{(*T8KsG*ZTpi+d<z
z^o4H;cH8sL!FS-7;6vnO<iTNnQs^?=$e{!a7>E#yW<j$k&7F0Me4Z6BtuDbCdSedS
z9z;(Cw<T2RFm0vLBI=G&48H`P>w3`N+S=Oc|FO5gS(?svSMoRlNRw`_(Gak^u^CZZ
z?RJF(xN>uI6I{>rVB;zN`+`lN)QP*j(6XX#H+GQ%*yC2yG9AtscTB6<8f$%MYkOtY
zbt#o<#JSc(DQy5IlDM{96!aC(uPbdB?W0HAhM`sc`Q2Joue%8}qo@gqTd!AXj}S)4
z!Bcn&E|HvEOYSC*5HiY(vdjyL1*maUh<DcLTmY<~G<RGU^_4W`qpSp+ek7g8^9kNp
zU*wYI;L-HIJ!f+~1x0@R*!Aa+9nTBE6UQIAf7oAo?uq5Jw!cn~9J%YxokNHx8CBW<
zjN>>$jFTk6-`*Mw;7=X1>v=)YvMgven@R{)YksF%TWvG|8jaPp>fCH@AKB&l%I7z;
z;j*)pkFeJ}b!CqNqYMO(qLtM!;0&JhyS=5nswx1+;)HR8b5aPJ5JCtWQ-7zk<VECh
z{=|%R%xF*;`1O<NJ|CexuFT6xHL-Y|<i()KCTlpQ!W(cmm;en7JHbF4LTfWnqv@4`
zO?M=l&SiO+A(&<k;a3&Hbse{9Y2eJHlpBWOT8wr@*1?!Y+NfE&=DA>+eiB)3>MJQ#
z7)SvI=f-*9E8xcvbWrg6W41J`AwVt=F!BB`QvlcBfDM;1Pzo4xpXE}9?6`_$rk-Q-
zQS5+xouTcXVc-sqK>{VISEHLTLc>7jI?g(r0vHVXmCL<@&)^ikL>A<3@*AG}L;-kH
z+)xg<9EAMWU|v43O%8>qr6EE9>OX`sL#F;h0{INGA0l+LajXmX0ofT+TTC-*aW3Vc
zqOqUh68Qv<nrbwPAuj{KZ)L@M%D5AR(Cuu1@OqtGuNSp3Wm|{tm`qLk$}8`#h2ieb
zTVt6IcMqRAbAsXf!Cqcp@9rG09ze>6k_7@~N4ZRdlt~8EW%!zUE0<te+Hf>OpooU8
zIr9Jj49;yu^@=nyKtMw#ra@8LTxs910tvvB#hKJ51VRkpeTUB3jpksZ(*@{uHkR9M
zxwlCJJ3f2%&btn6b6}{V`Hx?B_V{Q-X@+$FQQt|^>BCRIo>MBuhid^7!NRi`RgP9n
z_=++bC^@n@*NRcixJfB8MMVbz5WL7Sgz36lg`_qBa2Yk~ZAU3P3fm^b5RzH`a!|%4
z6;>bs+nRqL*(NuUhspmU{eRN<<Ya7|-&23?fj%(AiFS5cUW>9pCBmHIXL~-YdV|;h
z*_=*T{9pg)+Zso*@G!aciQ<glZ9|IKwtUFAB}nX&<92z^<F{@S-Msbq^^b+`=lG#}
z(rS0u^oBZ$;-Cio=5Sl5w;zi66|Y8o%`2z+o^zl=97THAuMc-sde1|Vyz(^wuYLve
zRi38%_T+7!=4b!Q+h<)q{3iP!zjc$os@J^eQp~S>&D)y4oxSm27{&VM?W%A0)vw_A
zq1$P_o!0$<ilQF|JN$vUttt@179K6#&RPf&Yi!%?i2p^u8x6_U{`BGD;dJ`ivMg7t
z^5o><>2!K{_}bIc)6;6Ts$h72etv%TL2rHQTW{QW>#tl~T)nUC@r#R#i(h%`jT>+6
z@I_u&Uq5m$>b#=!sh!X7e0k^VJ8$WHf9L-p^cY+{1KAoX9rGu5K)q>GZK@RACR3Ki
zOaesaA{NWLCW@X$9R+UT0DWL*AcC>c31Y>xNg!@-)z0Pzh9H}Bc^!K&1m~wZ#kdGj
z1hHm3$lbi{5D)Js@^k3^TR+&tD@XbH^=sG9^TVrA8gAA%je7N~mAP5pjFP?N&fndT
z?0rw3=R@h4$>m!nrYFPv)J%SSj|HD3!+c_Tm%o|k`T6y$hrfS#_4;{!ZPh#%{K0#{
z`%9``ulHPcu?P83daGBz_*VPxrjfqAG2=YXkFH!lKfiwUF#nRzlD~SGpI`srJkQ@I
z-m>O)A=5v>4t$yJh(2uhKmLKv&vTOlBXORE2eg7?4q#&=gdID@8W_&685VNHI&8dM
z&6v(Ge}Iw;T1IAy{pqQSdpm?&0w_z3#jupfzX+v)y0JDnRGq7v^YjO-CgPizQwlIX
z0V=pMkwsf_pu<-uqdb1u*dv7^GPt$(?Sevb!erKoFnQ*`Jqr{@;Q+_r#Y_bV`_NCK
zI3!sXHQM$qC4LyWL!kQz4qY_#3E95YO_XIxh@)g*0}e-1qT|!keq6ZW@O0XAZ3rRQ
zZZka{4qXxVPfw4DrlTQ(&VmQ<A<KdX@F9z>b2cEU$i}Hg;<ftUn8p%E`(?#RmL*)3
z`*9?3I;@H@7-I~Ki*f{CHW&=D8#i9vYqFxacrPR(W3s0A>Kiw*!DkZ>o$f_>7W+`v
z40KY=CX-olLcnzye4OP`PrD(Lg(5o`j}ervuwSPk0ECbdr6B->kk);yv;rKD53&ND
z1|PC4cmV(3hWQ-F#MUv$-^;xbcoF(sVO8x}7%$U%RfQ_|2$oXDcHe?;xsy9D{673B
zd~N5;C4X?1M4>#9)^StK0eNJFr;E1aZi;5TC3=5&l4)1%#&oQeqb7}muiCX-@n(ph
z34956dR0ws9zk0Q&>PvtLNJ#&wu?pny@yY`K!_78y)O!!5jAyF<5Z~-;uywS*G*L+
zfR1D6-g|GkS3n3~G9e=DmG|D;od7^x)s5DB7{?(fHHD^b8lo8%h4&T33Bnafl7gkG
zFD_oLUU6|z)xwY`=|i_SoBe~c`MleO`&P^8G|vYI2cvOO+&ViO4dV#%e5vCE7uN2s
zTz$!%Yu6P45M951=g#8F&f3M{GS4B3hoiHzTSYM*?;i{y&!^Mn>OSc9X7jUy{mte!
zWZ4A_2Zx8l0nuQ1csLlsMV59tosRC*FWiN%fxGZl_zMg;#oL`uGuyQ7db5QdLuA1)
z64Y47G_bVYZRaA)B68VYw0!c#R_?(a^H_r>Q&N>pefkoXmZ)si7YCt2zFxH3^g^Qr
z&2rVSbLbs-7yQoMx}O8zbU^1pxOHY8Tw(z6xcPcB+sp*4x!WMi+GwToWQlY@*-EmP
za8fWIZ2E*t4KrP#$c9}2`Y16c17XelCU(rqZ1S#miBBG~!}X$$%+S_Frz|m&$xZvo
zw2}aat;TMMtCqc1=L#SU4K7FfD{jiBY)~=+VP~|SU&^AwxV0em#V#02!%RenOwqQn
z9|CTDkCAe^Zs{ZirzYV}l#X_s5lfJ?JDOD~YuEfsxKJ#q1*B%Rj|h>&BZVtoD?^`5
zNo=IF(Ov#iG2W^M&Xpi~ALt_zADyz&)_GwN)1XQQdV!ZcN6I5+Z2q1QAlUs$y<sHZ
zT%c9ACyI;*dY(a}SoyGTV$qa0ZHxKfSJ)Y6k(71@v$7Afz=&-|b)s39IVhF?XC>tq
zQS54>+FKwF{wyo4Ej#6vSP9x*xEKdbpfrl$N44;5835u;Wdac4Dt8#hQS8LPdimh*
z+wZ`IQi#hl0f5&>N=dHo_f3|rqsc*Dd3Vn*pT|ibvU~`mv$E70s<Pip?jteMK&h>c
zQKUHuS`j*y+8Z=Us*OZ&Vx6VP9(g5%0?edj5+)=u#7gCXNSI7oS|+Pq>qyw&LY4K%
zDkkf^QE`=!N;0K_Bl1y^TdP2^&K-W+sUrY`X#DE6Mnomn8q$sfYfY>GQ%JtxD6*E2
zDAhhr*?$=TXwgx`f~J|qBN!r$s3;;t?>Rt2^W|Yl!!2tYmHv)PkwGg2ON6|ChmKK5
z-#3%+eGyHp6(eDMj2??he4`X8Lz0UK;D|LS-Z4r<sEAhzVD7Eg80`=XrM1u4#>7f_
zmUym7ky1rLq}2sRb<m+=Fh*&m6^U1*6rq)B&*_<FtrcmdMG%>tLom!@j8b7l0N@NM
z)M1mK42HG_=<Ti6oA03h;J7Hp_1@mWe$&-3Epo)T)3Ke-3vY#ggzxTrDQI{Sz8(LU
zUPE6^|D<krI(X-FSq&111Y0}`6fPTO{nDIQRwX8FD6??C<#}5FG*GzPKABTa8r(vr
zwRA(52PpFh*S`z=uHab1KGUJqA7P`t=N2z4zi3!#xO%g2g@ACj{cai9cCq_);F5=m
zaQ+iHIiDA4Q<!~tVL5my1?GS$%~nPusC#@~Sxr7=xZ!e>M^L^jWHPr{E>^Q!=O^>i
z2{We*`DvZY;yVxCvz<si4Dn(>7onK4mUkwkfuQescpW*^240Gf^AiTY<M?9UI_lz}
zxmzQO6q~WSI#p<_-sZqEG+LE*N`M*-dw}&WQGvQ+5>C%%i*s^~Y0T#rtoQhRez&9x
zfZr1cvjby1crL78yl>!B4$T(gdDF%G)4+1RZolGO)s}5pEv8>)Z?m3HrY!C1L`gke
zx7*dyGJ9^Z+OF1{+4P(QBR;w&Z@0Z|mdM%D-FCNII_-vrtnLu*`_;lS5>{wGUBqm{
z*zEkGc~o93p0pFd?Im2XET-$tVw3F_-9Ws=f(pJEx4dS+1L0_2Sh%JOa%jHc8JfW0
zPo!I}%68Vxi<Q#zbVbu?3|sPz4{yI|TClg<m9}I)oByq5)~sPJd%{$xwU77q)XAH~
z5cJ0aa_FA*_nZaL$~lbNUR-h?(G$5NXw4i&NdiP^y6z%;=S8`8fDrQWnGfAwO&S3A
zvZ7t1audbgS4EltYw<e1a2Ausb)T)Gth;BaD4*ttNM(hp)TK%xXnlOp%{8fuw#n+`
zZB_R+D*N-RA&^4!;a$rvB2gB37C}z*Hd3UNqC-XwAxo^WlHQj#0Qf>*L)vB5zlDtO
z`7{lr$~*9;zQR69i^F?{#2E?NcjZKiO;Q3NJOhmt1^@x=aa9ogN%gjc3q^BHjJD9T
zJcsHyB=XEU3P$p<=<yVz#IbQ9idfSJj+MwUGy@Q)`xEw4Gn}Pq97jiMU6C4$W)^FM
zXO2DV##x3aN`1`sgC{tCLB8La*coud6`I84fSRxtJqFiL3W;U!G1L}<qtE4m4(%47
z0#D|Z%4HFks?60z6f-3ogNh#;%}b@~JmAuC-~VPxgJ$c+04QZxea;yzgy5VJ+0{CD
zrDCIBEKStdz<WI5WjzuChp4dDTIWK@xL#4J-!q8LCt;?x_WZ5H2;coQ*Gg>iy}dag
zqH{%|6?2HhtmhXI9`u*fI#R0TVJ^lZX*K}p!ukDCY;Eq4V}<BmpRHT8ct-acBEVif
z>#=t2z|tNfY9|hq;^dR(E^b9p6gwY+U{+7}imXW&5h6&yC+_)P-Y_$qRU|Lcq^w9G
zjs{IRs>Y#B<l9)|ywt@$c0r`d)6gznr8FxA_DA8P-fQj96b-F@R?NmnUztZ7t*nE)
zO$b$Hr2-`FlB7T&s(T_?=DoA24=WIPbBjrHvye#qb3lreGt4~~a!H>z-liS^ZfaSt
z7Oj=?E(VTch<Cf)wKu@^5rqYjD5X{NUdo~;xUI@w16qHKz7V-oLM$<>LL?HrU56<6
zr=@0j<kK|(LDu-l;3ns1=#o;L=-9+@MBoBqZ9w1M3%!jI2q;>oxw9)zOc>{FGXsbu
zYF$zKL{<w@MxH7uqD@h>i6{kHlP7Y{TJH>e@-+m(Gdr_B>MVF(>^lb5v*0o!)wfXC
zR0|hoM!b_8!VCcM;*@M;@L@c(#yi$<9+VIpmzzkSEWaolrINx}&`b*~w#E`};*Ev<
zQUQQvxQ7UF%(^a%z~3FC9*&KXbu>mTF~ww<lN=0zMA!~B_)*vYkGp#D{W~AdzCpBX
zRKTD{+Gvhs9GL@m5eFAT^YifH@s52OLBmjbt5#&Y+s+TFfqe*eQ(~~FE}pVHJv}?U
zI6pl+df<vM!f-SmYfjV6q#~@dvZ=BJ`eGefvA0*|b;*2sb$(_fOR7RK;v`QL7G<;C
z+bfufStulgJ!9%Ut$QagzxBWa*KY0CME&0B@0)zMQV3vK@XDs+fGfG4AO)-b8^)mU
z*E^$@XEJ6P4nnQ(tYC1{pvv+&@1+qF!g1porvT}w+fQs$*sH5^#-!?WlUOUIvW;p|
z9txw``njyd*kE*It?bS>H~QBjr3$1Xgb?b-K0ZXQ<W||Ig*noeNI68oAl0S{A;Pvr
z@hF3_0A>VZFT->TpEZqPEWXmSBG1U_)2DY%bAEc~^oy+98;#qo7u~mmZQJ(k){CB+
z<ilY;xt3(jMxz=t;zl!z^z#(6nx{IB($hPq@BjbdNj@C@HOZO{QnMB-zYX7q|1oY@
zz#jScw{Mbv1p%vYWE|0jVfSigo8FjRrK#4lr&7_YQP^aSvocNrRM0J|Y5oC_5#52_
zQo&#|IPGbwyNOD7BV(Con!XQ?VpHcIK8fg{=-y`4=Yhc|U|c%IyWf~vMEm%Bmg=J0
zW`*1JzVD0g8@+IR!wv5|ccJ<6=<OeW$F-JaVVa_qxZX@_Z7XyfkoNm++pf!;Nu;eG
zi{sd$X#!^KzU%008eaeXrn95JJ`=h7hS>|2p7^bInj1yY`R$)ds>Rvc4<Dv_?a{p(
zF1%w5c=+(`r%cntT8-JU>%;$mp`()hHgtRQ`LW}3?q>VC-TD0ZvD6*yk8_)wo98#a
z^5xBJy;iGz<tw%8YFnq`IIam^i*yi}rfCY>Vbrz7>p16@!>D6%<5t5kqLlMA(*7r6
z@_m2YJ35_qI{=;Tbb54eI_-4eXQtEXm%lPOKkdE;e7|%4*wQlW--w3~-`;C)edWtX
z!|C>Qw;w)?Uy9?n#zZYPL!S_0lGedx_zSp9o+5uo{+av$034`6A9C1)!-Vj(NUJg}
zgSq3$Is<WtWtog0(m$u6b23Ux+dKVfxhQ5u+I1^9ON^+d>FT8CP~-EHUO?&RQ>AJY
z*A{mF8Zl2QN%54WzbYds(n^dXjNe0}dS5Ep3BneL72TZJySd-cc3M`-JDDhsWEFWL
z@#A^c9^xuVPfzWfmUA0#ALKZs7sXLpWa=e1p37O4qy-J>QI$Kni9|dmwiYbIFa)<)
zuU|#SnYmUR__7o5rU+HkRCU=XRDpfgpavum1T{Ylz_h}SVLF^LtJi9?L+qI{So2ym
z?)PHW^45I$40?#S+C7Ug<{D-vG))XcuO0-DfWaDP92Fa~t{b5aM2q<y<@>Si&K$eF
z`+t(hxy89@TGx7>XDZr4OIv0gxH6h81PFYI0HG~}-~M~g^DM<$U@OzCb7i(#h~WDY
zF|@h#+cnp9E!h!CQnw7D8pGizTL;tVsX;CWvM=Kn&m5t=F!XpQMKq!ypy0Z(>o}qn
zMcf#UHvK_%q`332WH~Qi?0KH|;*#e~9=@|Ul4aiJXlU>#Y6-`2W7h>51d)N5cDNUY
zo)S*RTe0lRfy@W0XPB^_jfTU95{6Yz648;C8^?E>rYSk1GAF)EnPq{99LK&Q8iJ%j
zbAz(LR}`>;A2Ur;a-8~?Fy_C4gdP0X!RHX*OC%>3$m8T!xN_oXg#n&`OTZ=5*kAg2
z;i9m-rHP5a!_#s$KkXLfWe%-SFwU5rLY+Y%ILkuU68i9sVT)!`1!2?5%7{I1iBLdk
zFgY-r4Ecc9?N`yX9{Pse7`kq=MHym`u{epnY`6{xaK*+(`b^}~vK>cCN=?%Zd>;}>
zYfDUP*G-_+8q{hlD_c<7TySn%uA>yz*4IxXP`WnA{5Xyo?ILmvf*?fNHH=4n#|fcU
zU*=l7ZiKDopjKa9-KNsA9a~AHhT&e*u+1Q<rF3g`wN`^ctA&y4YRy*a_0abNIAfYN
z7o1y`<0=iw#^#j(u$B${I86obBXZhmy6)h$(zYE(O2$mf^*uKQsHMwXYuAaP)f%`?
zqmd0)f$jgWwzhTx0C7Fbyf}#&>mf4QYB}ymN=tCYEYo$0o2%R;c<^=j75Er2NIP!1
zosW};$tTGd$hYBocrhWPMVR5M(<GJSvP|%a7jeR9H5CokNW8b3%ol}^eHbl3s--jv
z4gvFG)e^91%_#lC5gQeYJ|~)FJaV~tKBd^>B@|vjN=aqy9|dG|qWFef+Ih<L2Z#zN
zB`y@22!d^wkGn!-8G-`rnuU+i&Y)OyIJT11UUtx-SCB*Dlf=`s?6>Mvllc=i;_gQF
zl|pDgoDroY!)0uW<DOhmEUHO4jsxGr!9^z)#*=Y8p2p`=rxbErjOTDA<CLP-9N9tw
zI-Vmy3T;U3BG(23Z($Izk`&Yvf`j-L<&+7gOhY7OwE`gJoNJD#6a(b2))CTAsiiDS
z_Hw-b^7;Us?z%0w;Lu!KTV4smnk#@sVZC?k_};M&QpN?}|8n5Eh+z;Xf+>}Rsm(Y?
zW!rAPzTV_o14L2nSm*yk95-lS20^Rd;K&#U9y`8aE@zpGAUJm@B2!W#wQZLRE`%2V
zS5iod0Gcv{P%@xJ)@o_+gwR%}+wFRQz2UIN1c!bY0N_tH+dvVt?byI6#1YJgLj!&f
zK$<?FuZ5z(l`t4Zq`){6fV5v`gwHACf>Iu_(mYnewaB?NY+EX+K*Zygq0$iCF42Kf
zA3!3N)V5sJ1@a=4ZXA34UPr2c3(iH9);2cQH&V;@8@_)cN#f)fvn<CJVhpw&c5O$=
zZtDB+d>&BFXw+^evu;nIq0zRY+4T>AvKWGtp=AR_r=2*OGt08NoX1Jxo%W_o*>*&Z
zd<^IW*plOhp@r70gbn(+WFm;1Lv{t%Lo|&TArVpoV@jKO%zmNk0#{J65g4S54S+g}
z83ujEo<Rz7M=ZjEl|@p$zX9PvN}B1sHKcK?Xr0@Q>UW}V!OySfkNf?;P#tggzoXG;
zH2Q;IABmmAjmF`f|9AZO@qYjK;OFL$2JFfAMNt$T>-Udc8+r52Ejw3*;Z-}g?A(lF
ze#JSs49~Yg7cY?=eqkiIPq(-!wtx&GNONX!D*4FLf3G9f8;Fh9VjULpGlJK)i>3NH
zP9|4fIhi6(rdMu{Mu?-)_SPr|$VXf6p4>L)dMeQPS<f5(`Tj3mRZb8m<yBXf6Wsqj
z80A&;o4C##TQC*|O=^0HidDrO6;9K%a-=J0xi-i0O%R1ExRcj1^x=Il0K*K!FmxQo
zl=Qu*8HVsC2&2KqAPixB?Zk<-HH77*-Df@P{9=x{wSD8)ej)OFsTgydFbq*|UOEh$
ze0`~CH<E0yOnUC+kFKuCrK3l4wY`1ertL%QYrN83?7!htBqyf`;bH_TIL&Ov0&=Ld
z4Pd*B-cRY?L3}SsSiL|c^;Yn%<L6hOn(jUWh^_Y1b`K*o8cR!Svkc&AkY|H@$@dur
z==V0pjf1z2xh&Ve3P*t=E0(TW4Ek~G1vS7j4~l!PqceL++6@EGPXTbTgNuL6zaW7(
zlRi02?k6uNbsmM{o}t}q^1KLmUO@Y?GLW*$xt+BoxBTL)Jgv$_!9B$nr}6XI{3eyh
zrk^1!UPg|{P>}qLM5N_s94GLfaHGg|-S@gt<i4og?kpAEC;m0?pYX!S4Sd(_EES!f
za-9ADeBy~G<~hwRf0_8<z<1pz9LJ3!_r0$BqHa-i+wCVFdf)@@`a!$>Q@(%m6Hh!b
z@fP#Hh)pYUHL3|;1=(xJE#zVHQasc}T;*Zm6StWTh=%70Jw@I%Jp}?plA-MJI4!5A
zK5$1}xJ6G_E;Yy)7E*vtIvKCAT2#Lq1fTZ-z0U{1r#(dP8Kz}fVY{Z4(zQ2tyWK!=
ztx`HuXApGKl^|%J@Vwri4lK*GvdpwBGfR||GEJ0}DuGWa^-MGRlgNCQQqQ_k*BuXb
zAn<)3AIP$dyPo6VgM+~h=(yMi^nJ`jY}6Zjmu|g*K~BCD^YaBiMhYAsEH20+{3W}b
z?`X53m{UczjDq%2(3sJbP_HO2+!GO5IJ>ftDkssqF5CjYAocxxCrz~5Z1`TY;i)9;
z<n<aL)jD+Ipw)~HH|o1lvl*rxsdZtkRy2+sJ7x?sy#$3Z7#hcvY4~lq2J5odlk2c1
z+r!B5-Us1F0>8atS%{Xk()I(0lfG$M^~NmUS+i|``5eHu*N!bs)0)z1lqT@#CqMbg
z459ym7xV$MPsEO`6tv#_hAu$&4R3A%479;GVT6zqcoB|}gj_=&AwN$DL~;4OBTc+m
zIyylIxQ=G=P-?Z0mu9(AJlRgOz|=@vj3`VQW1R7>^Rg`GX(cN^N-(W!`eSL~@w~K@
zU~0wFig}IwmsAD30T_#2U`#7*Jep-$OE2X{E90&g9tYFZh7^)(!8s@ioC$*qDNJpe
za6I%p_9!?)P--B8*8DvDx44g7xNrf3z|mT}LNdlBcMYxFAb<-OFbG|tlqVEtObS<N
z<%R)XfWrWWWon73VR8!DYhLr3XN||tdQGGi{(y0%>&d7VhBQfN5T->^*NU?rpjHt_
zgHk{yghkm;GNyI%6Z*!Nzx?H3O3O}^fk>sH65Em{y!>SVrZCK!HYG(gRAO4n1b7)C
zNc14?QH5tQ6dScU3*aR8F-<Zg_&x92ouZh{io!w5W>&AeveNBY%(hVWKl<}YXeoUY
zo1wK-R14{nO_`0E%H)IVehcy@{kx$;hitQuf+#eq8jF(-x=xShi>a_lRLstaeH!iW
z=n(VxMKLc2#q0pu7ndRyF{G&MtjMR6>Eu3*(#ZfEr{ljXJDno$_bsd6D~e7>IMyo{
zqSGmgUf;6%{rr(i6p``|anA=I;5rmiXl<~3_a6E_=e~z7z;yuJ_c($}eUHPQ5l2ay
zE8!2WG>Kxv91hplhePwRvi(0p&tn)j>h4fxg5gB6O3`22+_;4z)3B_{kh*ak`4)hC
zg7Y(Z;Ri~alLWD|w=a`bw1dDrD?ZGvUr{?nE37mKaAT(Bq=NA~-}%lrBLF`o_~UA-
z)Kqn!&BX~0i(misUw<7k#$O8)rS@GZpVfH_kBw0O%lG?3>SRK4`%Q+%2-k#YxIntT
z&ie;l+@DPUY&Le*CVtAM!Sg@-HV%LI?a+1{JH%mR+m0O`9654i_xF<B*WYo+9lJ+%
z;WgP23%}+z_S#`1v~Ae`+KaEg`o&+n`s%OIXFl_p4?j#e=@VVsAgg4HoFdmCH`SsJ
zi&$ksOnFjiRZdGEeBZCiIar5WRc0lGl@x4U8<(=2QUHJp(e+E3)>+@aEo1n=-FM&p
z%$x38de+NszIXq`*+0H<cFq2mXV+bK-L>b=F2Q2|f5PIzb>DmQ*|TTQ?!E7hqwr^)
zPd@MH{sca@KZW1lpU(ed|Mv>`;(ofbv-807zcYuw-#-nX`F+%vVE5M^eDFa?<}c&3
z;>w$N5w0f=X_M!Yi{vNCU$H2|<tePl(3Ky0`7=c}%@*^lUL7s6a#8Joxo-xUDsd#E
zXf;%j&p>(%G^w(k&a7I<ov73q=`D)9C`H31Gh$sK(;`seR$2Pqq~fwIdlOui5CL&a
zhxQ3E63`hm1XAL-%+?tMmjwJ*5N82!EX12P^LhEPRIQXRy|>kBwYYWeg|pcVr=V`(
z3M@+kstAN>Xh3WO%rs@k<(_9d3M|W9Af^(n%oVr`2prz;l_SQNN?HlWh49CfRsh;C
zG=^YX>MzV@tJ%~jz1=2Is;HrXuC6SqA+_yD>O6ccXZ|xWwQZ@;x9#<pN&r~<<~P6D
zXngaFLGaO!-nHBZ!+<EJ)T5%l#+XBqO0(HgV3=^_gi$8J_lL*8aZHf5t*kf#(*TUZ
z0FX1G!+<(FoKgVWact^f5U4Zo05AaC7C;dgV+>qQ0qFf`Xgreu0BB3%+Bq-{B!nO#
z2bh5L#w@s=$~w3~LTOH&aD)iwBR=LjN4AVTG)b`=WAJYkfTzwb3~}Byg_rLC9?bTC
zuWmeMJZnc0Wb5mjwLBlsk_31hAF0mTQvUKC&wlpwS<kw~FoL`o4j~FV`@d#8t3{_1
zo?4o?9>S#u_=GQ_FzST0G#R8RV7*rF)@z7q8U)~X!|62aVzZgqj&1*aCyZeKJH8(v
zCTXLC==&}q#3gue8GZ<t$(zXkB7X)yi4uPce;5A@|1ULYyFC=0(o^*Q^bMWPk@qXq
z%vDj9)Xt=@u>SJY(#=LiaL7e9L?E?+wkm=QaOIdxXEN2vBBmNS*nzNpU5JLQ;%3*D
zjp8|lv%mq0Ye<#Sxwcna@0RKn!eXz)33a(;RX4kK*>0tjnM{}>i)V9A5C%28;7Hy#
zb1vhSntEDJhNR|%yWw2I28^UlgoZA|k|qzQyre99w`sRcB#@By&&p&vn@Wor1N>vf
z(sFXJP{b3_YI)`gi8M&&`({Z=k`)?taiU^SPc1Ck<%$>#G_`gBbwG;0?P855)!Kws
zwB3PEdxvS;ayxOSY3Gea4)CMMUXtCst=IK<Hs`p4MF<g6f3Bvx*6!v;r$$t-?gJaZ
zVoyVN+;<hERij0vVW;!lgb*)bSK6i(N$hJ{o=-Mfb*?e1WbhdBWAXbd+3wbDy{Vge
z9!;ZN(O$+y%mRjyJt-2w5zWN5M6_wIN824%J03+jTBkDd94(u%x2SF?hebg{5%RM(
zY-AZUS%+uyS<B*IGMh^cO+;t7mf+*V3S|AXmdSjsF3{by?W_SGqy$Qr1(IT`{BFSH
z4aVn|=DT)%d|1Q6)l7J5GlQ;^@#V^DEH%Y(;$%K==k0p4B^m)FvXW?nc;3#Up<dqZ
zxN-5QQ<lOA&Nj~ie_2&k8h1(VAvsXm`XUa1bri+S2U8OWyV`rHBBeJM0c&PZVffv^
z;C-SF#u<RonEE17L?bY9OeLUqR~~rs?e4voh|oktjQVlKqJZi+LO%)&jN^ecAm~vF
zdG37zi4fU16de$PDUSifu}(znv;W{xwlYTAsUnV9QiG7NF(%SL;>h@N1VH=qD&O;g
zL{Lt!CPd{KHQLl!r<|*7Oxj}<MFvnBG(E%;OX~oxMQ)koE{4O>xggAew2u;joFIY-
zJyhcm2rr5;fEW|`OeqtE-p%v#eh(olv`#_$aD3kgA{l0>>kkG+3D6r3_m#0)k+IGM
zVGTeHI7A?-07$)&hzKal4#suE24YcIy8;As6!i|SUI7+3?_W%(0qe-xRLcHD)-|9{
zlcC6xVv5A4(Ym&z;@EaaArP`b8VojBe%1QWh->jCX2+zWlQ_@PE)3!bfr%talv45E
zp`?2i3*tShk!KPF<w)5p(`c(LDHcHUWURAH!OI1bVvQs|T4s5Sh;cxc=s~NPIi(2E
zM<DF11tMgRAb~XyVGV##pfZM)0x_|gnMDJhc9|0-U>GXUY)OOGdA4r_vKWI{_wypM
z?}P04hlrH522v;P$F!<Q0IVX9-XV(83MJDj8Jt5Fg7WTEO@}B5fr>{n3o5gDO$IUS
zWk6T;LDR7}#mVW_TX_A(+i68{0$C>fQFUEMNKoe>Q!o>nkg^eHQx8Om!<3a0D=azA
zMozh4y^b7E<i+@=Dg77`m8YN`97QpsARru$MB-Ln3n3DXC6=S*q!J+UT9I$VGB!y$
z7{_t9249Cco$uuiF}Eo*Mi5A)E{-E%3{b5;PZ`Y~S%cIAJv+Mm?nEibPclGlZP7I%
zNt#41%bHrpp0EPcI^7#NpT<=+7>Gf@NRjnEqehrnF{i)=5&#e*S(^5K-GQm=eq}9y
zp;W1OFr*Qn37#v70Fau7o8~;N=fN`o&?BI_B0XY&pn`JC1O$rN5Rh_|mt}yVMbJs=
zpsebo3zQDJ`-1^$jcHLvq>!2<1AzV4Mp5KB;h+#yL;(m%tbupd-EJEDaA@^aooY}B
z2w*FvjOmq-G7vc;B_ae%Vx={$L@^O)pLH_>fQrQc`4B9EfG|RzFDJ+YTci-8*y_&Y
zi4h}v&0#(p&|v;Fw+^xltYKwqiP->hr;~Qzg}d-0aJO>}QurYFRz!S9{9gPE>eGwq
z!{{^Uo9TP#t@N|j&<GB2xRg+DOhrlp4F+@8kNg<W;zzq_IlJ+Vx#&uxfhmsgmUV?3
zrnhL<(+T~*D*mjf-I1&ot6EQ?Guy0POF`mYg}5Ba@jIM7HLJ2I0X>D)n@ziJ>K#K4
zNVHgQHea?An}~7=YG7cMthJsyiDJ{Rkd<J5UJTl&)9tQV4sjwFRIxc_Cr-tQUxo^{
zGLR81=Wdtbii?jWo9%90VJ4mBY8gha-Lh&5g~oJUl}+hEi`YJN^<t~4QYO2#g(C5p
z+}^EsMAmLA+ZP4g_3nJTs-L_$pIChaWHUBJyPI{pc;R%nYPV9bBV5)?)uQF)jSrEN
zy5e0eN3j-VrnBi}wOH&x`j|{7Q!eNmyM)_T==_UT>zB<n^=`3RZq_za;f&1fSSpKT
z(vy>~>Qz18Rx)$8(_XH&KK*q5{brh~<=q0$P`YTh&EioigY?asvf^D?2PE63l=rPG
zR);ZipPk8~o!3%#YIKb)G8TTl8Qez~W+3qhJ^PH*GHGY)ORucTRjr@_gGTA1owhSS
zHPBvZ%WV3d(Yi{OZ7r)}+}0aS6rE0vPpXTq(cZc$EBe;xpV}_{vVo}yXmOGAA8t*@
z?bf@kOxNXTURKH){ITfFGh%O7Hf<XP>C$?)-h8}Oo7sHP&gq9gvRTiCXT_&tp?K8y
z$GE?LdbYohO4-T5@$q=5>14G$Izl8n9vz)d4%oi^+wa*pIJ1a(o;bkSwp)lzWK0J5
z14tBk=RG)72o|)WIMySjhCm5|V&MblLBwfK2#FG{9boVX`2EKx0D?fyMQI2?-CnP+
zby~S;dOiK<qt3lPK%7@KlQp48Gp)h)+1Xkc8%h=t_l2Y{tF%KDu2hILu~=<~j#haj
z={Y3QD$>U1U&ey9#)-JEfe`FZ)H$0j9SM}@S%y(Gj1+@EV+pXT>RO|7^}|I`F!zlj
ztVuBsLg}^FSUWReF6gj*^{llqMuG)o0#L$G=so8^ht#1T;H(g7-B*(Op%fTfiej~@
z@Ek~%k4;$+fHI(W5zd)QNe=1)lt}L)YWaw36j=i8=yg1ITgcF(EGJNaC?&Jf&XG43
zPX%(;CC0~*8fpzn1(fxUaYi21z@_tL&=|cB3Y2m|>o!2DKnttYR)8Z!?sfNP`}+p1
zna>^<nnyK`ko=v=>3gu-92|^K+!KVDh$0Ng0`G<lU}q1IMpl6h21MjxaJLpS|7s|x
zvx2)&<lSCg0ID~Cm;x?}rpXfOjz(35fH;|4xjLT*LY-x0w=Af<whKmMpaT3k?eFz-
zK!9%CMDYl}e1Lk)0wAkEHBY7x3SP<~EaGssmsp}gO{auNQLYHUFYd{Og#q5?4gl&r
zYX)@%e-74J=g7SdYn;W^lKJz1u-Tg(d7UK1WH>~ChhFxPfM{qg1dfT_0*=O`5doq^
zE<^~5^4M7-)gKIo)?=lG)c#Zj%#=bv)HaZk*dYN?&xKJ2fV4F%Q{;nI){KfYi~SzD
zNg7vt&N%1x$}HEf2L#?{7@mp&q;w*@N-P9=9#$z`qK6_%6PgkQ+)n`!9A$nlC9M(i
zR0h3{M61j)6O^c|wp!h7;SnE1WuVeb5oqT7l?R|QqPmkE&JtT%!!d4K!o>|NB~Gh3
zWRHx&_X4FPa;%^ZKKMw<;aI*5l#OHK0N~v``Ym%5tSXjL81gAnlqR$ddAOmCw1OaV
zfF<k2ZOriU?*LRB=XIWIK*@7f1X|ZbT6@PDuMj{S6-CzNA0iz>@Cty~nLJTxN&+a9
zrb@ER=pZ4Ow*m`*FuV%_Ga3L?niZ#MYD}k7bvm8L@p(9^{}FwTW#wtVyYmZh2q*9&
zcrSP}d>VW!{0RIa{0-JP$Cu;B*zRD<0~KrMTK<=k&34{$!=#HQ2xJfaW(`CdE;h1@
zwwC3tvG?(7=G%D*zFK%4V!P0SB>ZUdwUq97UhlGc0A`HSYSC^RO6p)dI%VPM`nun)
zQp!Uhf9z-k7)igWj>0*fAI)}kvnHJv13-2IE1_MlB>tBjw@q1bwcX98+h!v5D#l-3
zmiG@1oMT(wO{Uw1tF3G|ENkQz5XsbLnFQB!%W2&-lX-n$qr>kEw^duu!E3HGo0g|i
znqnO?oYE1`Paq7B`OR96Gc#YV+ICw+1^`eNZK@)308Zm9&nMGeGnZ0kzpBpZt>Tkm
zpke)yc!`Zza_!I&77o&zt*|atc#3E~rvsLzWc%vfY&VhbJ-6L$SF`!7Y5Qj8i<X<_
zy&AK`&G`hcA^S3mPm9!9Fi%~}n|3$v#pe_4T+5=`?pU_XL>BF0weiJ<XVr!HfHB>B
zEpVgMfP~5!M2n1~wEfls7$Bw0nqT{jgTM&k9a3{fHgAHljg^5NLWu%vl~xhVQCww2
z*eGkN0hQ=5jX~=(`Im#-n0&Gq$7woDE+CGI%l|q9k3rmyJJwmOxs@m)vFI=YS+pWl
zsFlY&GVvWbMMy@0fP}Pic9+$NN`O#rs|HuHT0x&c%@3v?AbNXfu*H{u6s&UIdV{}a
zyf=v-g&+=y;uFN45le{Vj0NbCdZuZb_-Gx!ROFHP)^E(BC<?QAh@$8Sa$(`TU|}ww
zI6pr><+9?7b2*hEA`rne4uF8*QIHgvC?=wuSz)LEv=IO?8sN`FM2b}HiOfaiCD-zq
zh$XWEuK*Py1tKA1wgP|=Ww^%zz`FbMDz06Y6u}s$E(rZvRlOy#F~(TN&P0_4Ce0qT
z24(}~TXxXW8Q_V(cbI%dL@PP)1t4bdJt5$FRMXXzR)sZyd8Gk>D5~oye))F0<%67=
zzECHCD6&vh8YhUvXbgz~2z-I~z5qI0mB9$07DVYlwV5RTWEC(rSysfNL@y7zc~0oe
zMnkSz3I-4$hxb&%lxS^7$v*SV`2bo(4>9l{RW@&$1`tFA3?XKRDyhsXP4#l@cDr4?
z)_o<!5p8pmL^0S09(X`zGkKt}_8WocN4Iik6gdY-NIA8oru7U+QA7wA*4oo3i^aae
zn1xM?@H+dn!4xMAERd4zqZokM8jK>=QABov%s9|XN;{{WTb;)`@80R`(rMV+wCnj1
zjA;%J@h1uFiKZkJ#8DwsGzhzZ3qwNNs@7_`tAK!-F6!K>l@DajG9=Y&hL@iY?{fM1
zg>9>a0^a4;4ft>HesFcs_a2_vY&QG*o7)9KaqqkMIJUF>@#tXokLq2NvTtMbTcS{0
zety0TuMfOS5u(fgOVR|s2GS(C^XP0m8)N?F0>^Kx0gKOg?zzuc4vdRGHl6D_hxX%b
zal;;7pDZ_RyMRC@QW8`h+%}tg(>AHXB-qhH5I=zsq^mpBY2^q#6;eZ)17ebvnUOo(
zLJOrD5kuz>F3P_iisHuJ{$9T<ODuP`+No!qj?y#`sSrt?J7-N(8~bB}(Wp+6q$Xk=
zBG##}+8g;APaL78cYG3SoX?98ytmGmWm&ox0k~Fxac%$c;upi0{Xu0YiyM2S%A~3g
zA&H5)#*#zj#M(k6S?--Rb#3gefl{$e;)Y0b6j-OMRox}UT=!jN#u@=*z031=u-5vr
zDoO{>;KyF)|IdA=)9LhIc%ei1JiNIRciPT<ozLieb>}-e{{%<yp>P-e2Z#7dd_8_5
zeh2;v{tq3~-_XC&3+hm<)P3reoPU~c!Hbr#=Xf(lBSJYkah#|tT+Ou;8G4uT4>%+)
zFB#=L*9OMMBG!v-b#MjFBwy855Q%rpmpdnRGJGZ2zul~Z0G#8R=qLbkv^Q_2tEs(l
zl6gYD{+N10tzLoeLstf+lEri;M`pjPAmoUDPF9dWw4Q?jZcbbND*SFMVu8$8>huZI
z-J-2_i^fZv+jBo}e**6nJbmi44j1qN;@Q022cW*h;-;=RduQEz>HMJI*yZmjSuNU~
zK||LLSn7IMYgE<N)v}$oTWLwHDOoLctF~;pY7?A*npm>cE9okMxo#SWv=RD2G{oU9
z5hfHEW4{mb3dzPP2#XG9UtMO`wxzHb0k%OwtI*wTstt}|T|W}lZH&rn2TO)O5Eu}h
zH!sYlP1x<enK+!a8;fSXnvH(O(pEl+A;*fy18EWE$f7Exj7~D$wcGi`#H;9u1~26n
zxS|j|JdDJnjfQ2!AvwJJSel9M2fVO`729S=L6&V_pFSqwt;#OUcYv#CE$RK&#fqlo
zKx;IcM?BS9w2*2EJXv{c(d2?PmUioxNO{=RHKyNOnM)wl3lE<U&rTC8PR1a`<e!&`
zX+CP{HJa^-D}4dw>#*F02&O!f%n5REKmj?7>~e(D=uoxm`BD0UIy0FQ<=1K2-6qVW
zE*A`4f-2)cVZ}93A&3dLAz63)cG^DHTDC0DQvD7RiVA=xu@O8{<6o7B!>cE4+k%F6
zarNYUH~>KSYLtp%n1N<uSU&sE%T7-jX>t9=0i51*&r9!_OaK~y9)Z^2wR6b8N<kF2
zozU2=XwAvVz4yNC9j&q2r`{L^gdR~%JM>~R$Vw^vihR;R<&`qRVbS<llO!+!Pdk)2
z7SlR~*#Fg3P(zLZEfQSx4k*WDU~wu3MXLm>W)XmYQP_TiiINNg;J$SckN`ny_@tWw
z=thzU89&M)0C-V=2YW|kF;;2kBhpYr(ZmTVa3#@H2Ea$!2!b*B2P?OL#&`y21vpZL
zj<>okxW+(Wj=&bV$rvA#gjlKgloSAx0rX^Hm=uIRjI-X80S#!i(pF=@ybLocBu<dr
z2z98Js*T#MMIeP@sP1U6+~?4zNEik+`sYcdp(@rST!7C6DRRtUrn)Roj_*I-KN!C5
ziJp?8sOv(*K^EPEj#)53Fvb&r5YZ<404D%S*Qfe$7*3i45mH*|%DP-3E9PFvisQc0
z5vVtWI2(@uDAPBaOq3#{h+&v-W^5<b{@(u4_U5et;N`o3vf${`F+^PZ(fR(K2@ZHP
zzIfun7tLk>2a`K@-uG9?IZC3Tn1t^^6?T4Cqcm$mz4R<-_L@kUB$k&Way+hTt)qB`
zoSbDDsiNoy2K;U>*uE-|BJDnp4km|379h0CC*lwKj@IjrhXp{kmpLENI89TO5L}jk
z?DfDXwup}P?&7@Phs)n*M9xxC#9*EO_&m?=@MxgT`;q0C05%Y=YD&Xi(ow3B5uKQD
z-%3ZUbb;wW*#Zp>@#Jf*05U*L#WX-%up1{u#lkvI9<+U<2%*!rA4!SRN(n61T2?Gr
zA;Fm<&rKX#zR~l<19)pSrm9$_Jf%n&F)J&ijMxt(67y12l|giYP=JxjR7Xas6UyA9
z%#29+)>p2SSBT&w(+n6KDrnTyZM1r$PGiMUj5aT9s!h+}{3J%}&z2`sDo1!Mc72P=
zD5aZZU@iF-ql7R^vsYP#DyV$~?SNG<H4Z51ImRhZYz+i$ujfPf|K$!DKqhgLg4PgY
zgctx#@Jb9imyO509yy=csz{Lt9)=1BTAv*mot7mrYDJ_qpqqI?&<`S__p3*vv$r!x
z)tDKPI2DNmwKk>~@|$ii>MC+0eQFOQL@P0#1x5gGw8DEvXaK7F?<uT>gM){No&y79
z=ZKVNvkwK$2<T8V;K9LaxpPF6o^RIk8GfV35E-pCu<o4!pb4asxB?OYt)YXR=7qa>
z0(U!cr`PEm?PND?rKOhIrY&eSUG3VUU9|+i^ys6H?qB=)zuo`Y&)MJKfB&C3_}lsC
ze(vYK0p8*AT>+lH{F$G={3`gIPQODhd_O)2KheoMN1fMn-rV`(&ewH*y7LR2zk@kk
zhX>(Z;RE1v;LG7V(BT{(#Bayn!oS5A=sLZ;(`hO)$DRy7=w6!UZm`ypY09dc^H8PR
zrfD--&exlAr}9$8&2qHftv6dQj6?}a`95=dFnVi0og0VVLLNd@LE;6#S1F!hq1mnL
zmLaaB4QT?jeArdfgL5qGWXE0gdar0+ps{;*d{4nUgw#>Io-d%u^m9|SlV*wZ6yYzP
zdohhXd)u^GAT8N`LY-<N3{~?NKahESfK45_o35sdDOXjyXkdbH4tf5tUUXJC9A$|C
ziusFh=Q@ZEdJ64+H+uv|4Tc&w`?P5TAVCaC&(6&-2sOFX0yEq(>Q)X+W>JyJZEe=V
zaLS6b^4c(t;90OA!rKVaa0c535ZvQwYs6FFn0<>W&v}Xfkg1&I)I-~+#2aQX9l9_s
zGSoJ(z{-eYuflHDi<;rhrd@1S4%}<Lp|`l0&lVn+=Q>7E%r~Pub9s%ngfsnW{rmu{
z^B%O^R_&r$tQA0ZT>NU{cKSc?w5S#w-NSfAa)_dzA|f1VDT5|mFK(d5x~hI8j$^Ns
zkCm#4YNbvEAVs8$^aqq^^uSs(yo#)aHh}N)Yhti)Td7e>>4yzbUnx<f{<A0wXUOwu
zQ4knGWnlQHfJ3Z&k~rtRyJBmL2m_2LOrJbt&N=7(+hVsxzi7Ej5(nNn4?jhu?0f^6
zk$*SKW7hrt;o-5?$NfPRVa^<%p6#wK_8adh0(9H`1HgW7H1fk`HJvVa>JosAB`F@*
zF8+EwFaq$;u{?G86=+O0JUeTzUM*{_2hG_jYUQAPYzE7#SBpmLVRP8jD$!b57FI--
z4-chB1kU!ZU5mPa;BEKtkWKyyZk+J@YkoH^F@oiAt7{c1cD-xY8`eg#?cEA&6cLNg
zvt^PJ5@ZLH>WxbWbP>k@iTsX@mcs>6GxF^A!(v&M3tpSPXOK06dA$5Bz_+7HM9D3G
z-L@~i9J;4D3dRDmd^nEK<|PpoL`1jfkE^gD0d<q8X-LfkDh?+7Jl-U!a*PK6RgOlZ
zQMKJ}jnDRIO9b^SCF9Wc-fPw3<2XK!*8w0L27pkLxA7Dx8<yV4i$Az)MC{_mkNw+-
ze1K0EQ6Der=J9b7C&^svnfHX~4kq_l^|HwXz<KT-9?p_(Z*NqV&f}X$kq;MBe?nz>
z*}(+7<KFaeHeIieK2D2)y}kQM4SQOTC(0vNb-!O;KJ@7Ow$^ZaG*q9M7Yqn>$%klE
zUj$6R?I_fl1t4yRszC@Ce81hVnyw2JAPf|>;}V5oudC3O&~yd6U6qC*CJOi-<-X@z
z7D;W%o(=#j27s{w001zwtRVp0&N*KQ%D3l7qFhlp&6lvQ-)`JDG5M5?{|IAWO`R0w
z`5`WkimIFtk95m+1?)}16VP|qGAcP<SXhub)DM6A6QB5m-M9;2jw*`rr_XrCGoE?V
zEw|iKg9mHS-v51Qr?9_%6Hwa;de^R9yM_=x*gx3A81|5jMhH#1oL4LgqroY4Q45n1
zS(pcd%NJL>#ouL#7g0*JFKRTi<jUPcz*#mUO-1{HMk$3TZntLINld7!vR^ag|EipU
zdi0iCrhj((=H?AIZe%r;a}_Ty-+1FqH&rW&sv?9Cpy*%^{u=hs=Md_QCsj38?hyUQ
zEhctc<sbr5K`_P8=x>3P6W%z*nHu3A!~Me#4jzaC1c#9@k}e7vNHoxYMr9NzI=fMq
zY&7UwyMP7LX<(NmNs?ekC7>vj0tq8sCzvsS{5GDb3d5W;4pM45r#hi8WtyhzlnG5r
zu$Z~R6ct+_9W$8ddK6OpP@-TaT%06H0`rV`8!}OxBwR{QXu~{V#%4(pMX^)>XLRNQ
z38Nqs)QlBsXOwmis6s$fOap@@rNj!MD$nzJoq(n)nx%Li{Fkbpr&yYzYC!7sJm)GU
z3YOAJD`%`|0B){|v}{|^RgS|T3JDNOb&}dEC=9U0YiW{VoFugxx42i$DTXj~N(mpw
zsg2OVAIF6-o*@%usE3B=26P*`7hR4=g3-9NKY_j;O;EzC5g)Yl?FkYaMh0UCaifu+
zbY_SaJm}gH*hcyvrqM7z>9k_qAf6cCF2v|5q%Ld<U~*eRgjB^^g0{1EV0i#9HfkKS
zgK9APDY53#o`P>z^>b)K+IjsGR0C+`dA|AVt*xz|zPPw3L~mLbLhMebyW;fa%a`+u
z)9G|qh~4S_ON*k|ws)FmVC~eYQ~9>s$-lDI?7jBNl`ESCtmS#WBe(NYmoH!5%GWkG
zH+y@Vo10gDv)Ahhu{e3k&d!d#U7Ue?@;u+VoNsMyUDkJXeRujtLWtgUvM7RHesMaT
z_JmlRoXPWiTkhofj@-`w;qv9no6WCo=5KB`n>+S)^EF$|wav}V%WGR(TfGN&h1i{3
z+}_@{cbcaW!Uz9%@MBEjJE)s~7KXvq=yzjB;Uv?Yvb&%xWW*ujts!O#0S?nb-eD^n
z_Vkz;kC<8`i5KS2I-aGjD5g`d=g++P#N2#9Dg56w6G1&m=I75izNHSR;nwSoXP)@$
z>}O2vI5UQhV_CDR#!Ps+#Z}9)#-_R0D;a~SscmopL&veqSyfler(3FOnR0BIi;J_2
z+2qThx8hy&_gvtmJv2tgD&lX{GtdjsE72R!2hnF)bV5d8$b(-xsoIkk218f%^F`x!
zEzhEw9$e?#tvOIesN4j|srH$p6jozgS^cwuLuRR61;q_&DcC^-I7F@qC8&_!%O)mM
z6ax)Gx>eA@?ec#(eE4v9IQ)lm%AKEQU2Ib*>R|4^#Ior1ur@n8dvx~b{<F@XKfgnt
zf+(w^-czW;I18U0Je4cIaN@)X<rG}^Of`e9;XgQk{`|HQQcAZ@n0MT9$64iLQ52=&
zq1iW;hYC!Y!rXhJt8Z;In4?xBCmL0lqD(*t&PSush%;6riW9@<hB4hRAX8QuYhcsF
zj5Qcz%w_CUqtR%LMn^DL8E+s2C^`5e_)GW@dM1<7=6A7;F8(eyP3{qa&1SS>_*};!
zKP;>a{7_&pmz+9m4$$hGE^?kN)mV1R|HF>sTbc$q2>bvWLb_4{DT<=ORIaLk8+j2}
z23{mj;JnC4JIvG6_-IZA)AWi)9W-K%maYR1{2&0(G|P8g{3M9tnroV1NoirQ?I;Zc
zjD?lmToNZS)^$;(9kqhv#6>N`fE_n&)$14(g$qpu5+`wj70QLKV+eyZkQ_sJDGTE!
z$<hSscp!T>-h~`(#|(Mg>(G1A*H9mWQPVWRHHY0r0R^jp$7!&UmZ9Ljcc?6=ws5d(
z?Nx)S>=gN;ZL`o_6e0;oFO}yE25()-6oRDj*G1U)ivzgSb-Lx@lcUk-Xc#_c`cANd
z(2`7#lO!=GN3K*AhBVC^_PlA^a67f_BsAdH!f1WGzrh`cEx*TA7-Npj7*m{2oj-s6
z{B*jyx-?x`nZ71X)9%vJY?^j^OLOT*j~qD?$9De~8^AEVy3jcf<8<y@TdLl%9mZQy
zVQ%Eu0IrcFM;sr#3ZyN$nES!8C3v6ATiIe`Hjd-P)zu}v(P#{YjmB`$(1+B5g*Hg}
zgp-U`nRSuzt0RA0Lmdru`Uvnox6S6-VLkgnWy*)U4`T!fN~_6eShg*_>u_4|g8>c>
zP8yFY1dYZ@d5DrdcKtk8;`uuv3>vBLQ>=&|FTQ7*U|N2yHWSAf;;3Cj5iLBg08KY7
zA;57c>^+q{ZPv2F&mYTO(l<2ql~EH*YqK5SG)&VAOanR)#WU?F1_*=Z7&|sr6sma8
zZ%b6}Q0!80SxxOVn2n(PJX%Ayp-0g3^XScG#}(0JEF*4L-EIdCopWfk*)78-CCnyN
zDW4t1-z6}70-!z`*hSmaTA)j#QPp<Q$YA0n@-CTow`IEuEU4AyJ~mgY0iK(~P^-=1
zZVFj8H=EskGM<~mA31*fc!rc})$yk1*6>~Z8LqkBC4f<N#H(eVH}ONV<Hs+}x||({
z3x!9T46|%lgrpCN@0!c*o@AJ1!wargtGV9pdd+iPuXar@WEBp@UvQOfb__Pab+el5
zz4WD?TgzM*UW#YP#O|VH{UOC?(IcLUH-_g+Ijt@dzx>&w@}57lTmld-j8NOKvnS#c
z=sb*q{y_!s7)4&q%Q(iAt#7$;$H^xP*L9B^UOO_YtD4asjYgxw&{SQS<kZD|w9`2$
zuUXbLF6D1Y`CI&+-8H1VD&^Hb%Z1QIQ|P*yX_~IpR9zSMJU(d8_#2&|S@eRayqGE{
zL}B{S@nj|1UxNB6kr~jowym6W*hylPap;1jKb=hD24j<y7h$5ECW<On!aMih0#Dw5
ziz^I6xbWob<Np$LK@F7yjUxK~I_Jd@Rmu#*an!V@rbPjHVG7Ed+Lqt~W9$c(-_&l<
z!g}Vo230kDsk$y)X9hlG2=_()73%4ZqNv<Rq4t*`?J)2-i*%i<^#_|>f;(K-3#T@-
znDlg=+Kkms&&+ld76uEp?lOg%Q0HTe5I*>ygFW~U*h4d@htOWojQP80^VG_WANnhU
z2s3MezZtFFaOj0c4jV?t_YBjL^=$f3ISZzWvE%d&<DWM#F7gYbwHpq<;K*Uinl_i!
zClAe*VB~-?>08$JzjQN(q#Y2$FNLS0yU>#n>U3=r70x;X-y@DW@paw)RvAslV7}`o
zB_SS9#_k7Y-8a+v$(Sd`MmHb~lL@+gjGyM$n_SiHIGN<0YYJi5(h$1kdd*23+q%k|
zc_;u3v(fQ9OU7}xlcuKUdb4w`=b35J?Z&aqF>AFOCI)-|mjIw?%Tko7n7S_5viSlJ
zLz48D=H>{tq!awv9+<AQFqxZM>L&@{M2{jrP)JsrDLo&+aXW3>$79<a*8%Xo(st$y
zQ8%+D+7A4nsuA`w@B=`|I{5E{AHoOVN9f(?Q|P<UgbLmPABV5N6YyK`w-~UG+dMNS
z!?Ig~<0CffbTlr<rDO}LGex^(w~Kit{@w@>v<QPG^2@hd(`rjzg$S{clX|2dFX|7*
z`56t0d}Zb`C>tL6i4@})!3ChNZSWnK`6?q$+L^3IHf8k)nT#iX`yRR9k0a}2*+D;G
zJe<4%%T2YS2faP$5AID?D#j&@fpeAF&|x<@OI(9l`9%}JmY(Lqm5dUjZeLi{6RhnC
zKI(^Ug{=N+9F5B`azj00T=vT_>JR#p`(dr#Mol*2vsd;CQLC(@4Fgp>j(GPhNXLCF
zCgvW|Ln>zSzOZ;ikOhMZVWjLP5VslYml(`hjH>9Rg6AMB$T|x3saoK3cqXOPv^+4V
zOBJePJ+C0+6@zh30b4={6=Q>Dp>iT_sT>ooS`2_$1Qda>;<dLhYw#IEp^B<K6Tk-U
z4{CsCS~SwNj3^kG?`dJ47tm_tf$sSXutG9Ti$fAczR%m`q3NC#O`XJqMNv0NOq4$e
zNF<T?f|`gx0%*k<0Fw(sK4FZsVnPAM1WJ@}YnbsUV4UZXdL<B|ww4KXT-T<4$&K@_
zkz`V2DblJJCy*xfhiF8Mj5E2l<P0!*V<bns2CalT1eFG&6gdeb!J!7om^4HTK;*On
z@^!{wY@|8A@sdiKI?_;iXLJvjWz!&Zo5Oc0_9HOHKjF)w@HS*w5-D>10x3@Fy3C2<
zw62S1n`~b&>$1pl$g}z;q*<?*Wm($mry0DutSaYN$7zxVgAg^|2!#FOH$-HT=MIAQ
zsCCV5q_J3*LcEI6Xf<!EwP12!qsX}^x{2a%K>_esL*Pv+Y$Yz~uDZ2G#{pcPPb8j9
zrfE>>Aj=>RBY;uJA<GVw3h8t*Nkr0N<C45Mddjm@bwlz_SzXsn1P200L2aW~&x0&q
zRPRr!Kr8*?>dTo8#F6F@5saYJKv$|2DCN(hA~(IGd>S=%{6_EME?VoI_fbL8mP%Jp
zOc4*lnMh&*{37sLc@(km%2_RdtPL+=W0?>nuA69@AN3m6<NY(}Qdy>%Im&bW1L@vg
ziT!@BhwmV)yH%cv7|GMJv>y;PbzQTB(CpFr{I`WjoV4{As}D8PfEPtlg0w@Z1EFeC
zMhl5TRS|}ct7@7ShTaK#cs&U6+_v+Q?qduut1HL|b;ut&Yglz98-Z4we>VokdKzKS
zQ*;%@)A~khsFJQUrtFq*M=h;kphOa`#$hv;f^*9>gb^7u&EJT6V=z2^Cjo$3Hora^
zH=96biUQ;5^xV0#+sy(8;p|5=tqvfq<EE||qP#xf@2Em+WExhI_yII*MS)D(2#PAD
zx@H*Ng@uKB9pgN2r)la|)p)8M{1N;o)`C=`5Y^i&I;=1!Dac~aJ1z>4J>m-O$|FTl
zlvNoKk9bvk@^}(egHE>l{(Awg6h#qLQRQWx=k2gl@YLPi-B<DbKNCXi{PFW3+y67j
z&aS=h>eZ`%v`sWk1Gc^Y0!2|CdnwfS{{UM1f3Wbto1u{;$;%&kre#@gedXuEFx>wi
zkar#b=>Goz+y5V6FELHiecF?5zy0>NTJN~^ry)Za1qXZZS=d8adkZ!TO@T7NnX(@h
zCtY$3s*{!75<ZJp58ZLc>LFZ~$H2T`;-h7`|IfH6ih_`$C<^@VcN|*9`;;CZje-Xf
zKsh!TjgI$hDeYcQN-2Bsc9ms#7w$tU3efM^x2DbW25%@y;t|Q*p`6FLm3m<^jbx;K
zo`#@d;yG%yiKv#=mL2p7Y3PwQ>|U~lQ(XCzZ93C}leSr~-r_!(J}v4b53yI_xC4}i
z?O^SPprvRA<5_pcXEjE-#wcH=(g}Qa%|BJ?*(p<NMALv8lv)Jld&;)#oI;2#)5PhM
zALsj?W9k@F;@73Eqz34gz^JO`j_*6Ru7Twe5=6bF@o-^ww(w08gRXn6!JuJctZA+r
zI?`sk$8`=0fF^Xy)Fq|1lhvb)k~}YpXvWi3V5Tr(MPr(Yu>_!o!VE<bswSj<pr|UN
zTxCWmCF4PO&A)>0nH~=W1;Q=LwL|luDMBL{R5zv`J2F%=1!y+vwyJ5Ws$fkwENO7S
zI<qJfnjbXWB&l`c*lz(Y-7xfh!vs~8X`lf%ZUJXW-bw9oR*yR~X$W8jGmZz~SR4cA
z7?{~r*QQ+dC*;Y&H*gJp78z%1=?EQ1x7z~@yXL^onkaYRs#!<QX656y+(E%by62rc
z&~yRGx4FSe1iucQ4q1MEoo)yApSb>NL8sg4z{UFd##RWrK3f!CvkkAE;2BplZ9qxS
zYD9q3{ZD&#T9!QkW}nztpP^I;c-BJX`_aNe7zE+MC+>Jvd_P=x_~wNLsLx=mB}qr}
z?TKe`Thv}Zd+z$eTdb;u-=?Ay1fXe&&syzc7%@Z-{s>+GA437^p`+*wx`19;Pfk27
zm!iA^`yQ@s6DsIjH6TPJ#WnQ34bp)m5Ksfx%CfpHV1E}RkBh+<$BehYE{pqTqyd~z
zjA!_uVwzBZ@5hl|+zTt!?SL`9t*YSg4L59T^x=WI`8)5LpF6d^ed{kbgE+wu_(^Ow
z)ufEv>Qqf5r$N(&N5FCHdXf@d7#@Ia%eYp<Z>G^h56<WsRrnho{{7$o{gd5J0RT{R
zJ15J-@9i1meed^fA50DpCkMAb{J}JF@9}HD_G>SeB-t&}l*qjQGtWGuwZ7Q*4&e2r
zb8NB<qH${Ne(gP*B!PI8TC>;bP-oED$0K;Uv){S5^NyX)(Ke&4?P<F>tMyXy7G{|I
zY?V9G%qi{CY*(K1O_Z&T`9d73#xo0yOjc((Xbbq+LhEt>A;cbnPm?GX^|(C;dY>29
z7Uke%y&8@GpSpABeP*ZY#q8<T`tbiASbjje=zFi6QpV89$*o&;FR=FO9{l;Sb3oo0
z2sGNWhPBpp<+W|PJddBs6v4lDi$%8^eSPeDA@Ts)rD>p5=<%Cw(@j!<`|w&FeYW#a
zonN)2O)DMT;|5YpEFI78Zqb$&9^9^~3gGX6=M9BXDq}+`*sIe^HwB2^h=OGhTA-H}
z6$`PcSSfLG$#eK{O6!$T+A!f@O34oKEXMr4^Bg|0pOq&r>h-uF#q8LTPAe-LAq9#Q
z1C+#iAB@qAR`?%`MeHnIFsZJY7!j01Yx+Tg)1n^$?6Y7J^?CIw)y<;FiS~hGs}Kxm
z?Su#^M6r#cpxCn};@JB}Yk{b)r7`_p?6l-r8HuqKyt70}q*a)J@!HE;hO{>fRESOk
zpiQ0?w%_kT6s0K=rwBkvN)}ry6Jb>3$ziM%kls&2WHjhJPJ+c5J!SzmdRZN~!d@#p
zs7jq4WmTOJ5yn~p!C32vP!&-KCX~hgu&FtdU@gBiF^Leo?YZ_dR<2+8efR;uLmxpp
zI)*OC^Cz5UnTYWq^44g7mF5)GT!w=ICLZ<+N(?Q|{s^nS9O}B5hHIVO(I0iWn$~Km
zs&-z}Y&2>sOo^h_yzguJV!u;{p`l3WxpwRaGB(0+TdBQX6uz$OwdG@Z({-c5^Q>W#
zsNAV%D|S6A7wdI>C969MrSz8NnZ@!6{x`Fk<rAiD=NrAnD1v%@ZgD!oG|Nh>+3a?k
zeN~~pWl0$mGP(Y`DoJAFv8zW8TP6nIZ$3O6Iqs<2!61y;o~C2m>5ho5Ya9?lDnbW8
z#0>V(-ROSwWb_>LWAv-&Pte~Z)EQ5zN@g%nTZ_tW#nZZAY1wFiQ%vJF%9a-Fvx`Wd
zU^|vl{y-<QEt^_&2Cz_eCuzdfwvPbxx#0R@zgjuV(6Gn>%<C=p2W%qAfw2L{>&vfQ
z`W26^X~-G(RF-YD^XTy~>bA)UKozSHhWRazjfNBWNl#OWW?8LNCj^8McUHOW_=)ZF
zM7Xxl;c!cmINDHz08L6&RduuMTMCQgR-RC*amNW;t)HmZ!7$9lQw3dAh?Il(NJ|$@
zTbjRV+d?!5t-V`Sn^J<~)R#(2V7F|y<7QmPZeU|fq?H4BKIe_W4SiwSQWh0jwdrBs
z2RJ;x5aHTvFWYEfVVEb*v&1h49QuGkQ4Eb`&7vKK42ORJlv308-C^MpElo>@$y&{i
zL2rx$1&84**6eIlh50O_Mm@_~rVBg^T#0c|rRT!WgD9Gdd)P9$Ow!sT)0wm>G@VX$
z;k&k?M4wZ+>-o0*4aWmbCBPZ(E=k+y)$69Scx(hDv#I_aKR$gDwAEg(=3ynVolMn0
z7_l!X0UQe3wq_PrGsqz<JrBS%EejLZ127HKz~UpT(gg!-r-u+i6!C*U!mIEhq@y)-
zC%PA*P8WN-i9#DInii`n54bisH67yCgSkIg997+F{xIO#sU-&_1Ty3gTuixBFh5vW
zfp7AgnzLoR|II{7gBdqnmL|s-q)g!E`}gR#FI~EHsqj3*@DeG*u+&#pR)#}>@qZR@
z6U-QKnualF+8^LJOw+ipWJ>?v(|_k5Y`f-Lk^r$~lDqDe(@=H+5o8_w0el5MT>D=3
z2BgR9$0QCy1Dd0<RxnHySZ0c)vJ;ijj+;kcHTc{UPdvf-6O1jZ{8gO4imS_vEid20
zX<GXaP0jntue*5hBBd88jR?8!w+lv;zB-EjwIjJi$R$FbzO%D~@eU#Xe=-PB6d(kD
z3%jU5OXvvN9Bq+&<TZ<`M(2hqC1QnYjf7BFr(KO2uxL!7Ru0(+;0h4I9&e~4T*H6`
z*nRukU3KA!-2L0vJ-4>hXutxVpI_fwSXgi>ctg&O#~5}^!(CtB|BVI1bYb2#%>BLf
z%yn;{pPz?D-aEE14{zTXjq)Ze;PLoeo>DLMhp-DDMHzZIdQ<(Xz*sRXSizjC_VZ73
zKR@scGRS~0R7mN_i#STyOrlSBX+s-ix;i2kjd4VT5zUK*XG9?)LLiXmzBoUg=6R|{
z!80>WQ{W1Q)4FXpEKCHZ+?#AoLh~#Wbgcnk#<4<l;c4ww8#G-7U<5~@Y#9a(pksty
zFw;~vF!iEX<rT3$&}wNMVHx=1ETKYL3I)Y=RXAc30{AJQXnNiB_J1zZHC`B%E?7U+
zOvX&h(>+%OU9Vel%n4O;(`-_j)H4des9|*MkPDqM=4DH1d~0nyZna<<MU;Z3Mn7Mh
zk1=3{kRjP$l>GtxH+%@Kqeszu>fVG+M6MS&+7z#op+z%HY^I_)V%IH81slPDMWPHu
zt5+nTa5|~o(lj6wf~5b}M`PLjz~=z_7l4uv?ctzlBBXI39zIf)7fnX_K6<L<&2AK8
zkd_--7Fbpom=;JY3@r(k89Y$kwItvubgTLK!DKphUg0)#PdJXyyvxajlP6D}n3sh*
z_&E>ZIKs=Du40-&%bha}VJ$9N!Z2F4qf=rSB5K-BK0iO_IC&%tgHYYETTdc>pw>BO
z7<^J!g8;+(jU+XKKw1En6$F+AU|GTSJ{bf?n#eNObhTc0IU~`b)#=pJ386&uR;Pzn
zL&CUQuj`ry^)Z;}nyp0%;C6f2G<rhE*!5xsfXAMTu`YUsx!i8!KK6YR5&(=7Fnu2*
zd9Z)*TX?tbOLjAZ2IwC2ZuDdH`(VIz@EZ6i{1W^h?%;mZ6FSUo{L-Y~u5yq}!^j3=
zzwcN6^t=5koP=>8Y2T0)fnPoxUQ&&L47%}*g*4F^lP_^O9<XmoC?wqGZB)d<>LZwm
zyPT6+g@OSY#kgPfgQyAzeRfJ>-VeO8QR>4_`UFQ|Ani)!q&{41ChfFcOv|=vOE~Jf
z$(xn|?oP*+BbK}EX5Ox+lS*Y+*J?Yuz*1tH4mh2VQF&y&TQ&<f3DSYcf*XcmLY<N@
zj&9%XZatks&dD^(cDdQ*L6I=zy3=-2)q()phs<Y~pRci=guMA6(pJCRR9s^a2ZL=2
zw~;{Ft(0JbF09`1gZ{!rTQgTV+z~>$n&x+quN%9m2OBLBDd^hhFWan+mj&AlZVLSB
zjCPAB+Rh<e?^LbYnfzD3-zO4}pP=`Ogjb{DZDaUXs_KKfg%$iWwu=Xn>EYG-?ELhs
zxMw;=TBgqL?_Iq$J6P=Z`^n<`d^m#t`%e<t)RcxC1<_+4$Jw;Z09drH%u2gOwVx{H
z`iON^$N5yixF`^TqU@@7u^e2ZgqRsidQ4?n(UheWJP{lL=))=z%ouiob^3Auh@=2!
zjbKwpKN1M2cmM(b3E79KGQwhd))^Bfswg;10l?ab?aK)<g00p`O+;7wmAaxt)cb0K
zc8E;$s`ev-AWDFgJBUPu9f`TTu8hDIw2B%;aL&H}pY6j$*cGBaxu4cbLlOf~l2~cE
zVLBm#E@}ov8Bq7Z<Kr;MvvQFnS=QR4!`15G<aj>l11u(xru`yBhlk63Cv6F^KxNk;
zD*a|+L)$N500SB!J2NE)-Da<~R&?7MKF=?mXk(xPcoo31rsXmc3$f&yhqGBu6<LNw
zHjuq$51BzjS%J4Z{8~b0_^aNK@Aire#N@SeU?6t6?g^2jKt*#`sEraXZ48D)fD*~T
z7@#DREK2{}HGrWQCXMT4D<a>frzrXt@O%ziI&q?cIiZ(jPArr#7n<P%WR+vBbSlFU
z{ZFU9X!JV22r%dwAiriX%|O=;VyV~~L7Q5Nq!7XM`t4>n(^%PuLA}v7H*3K|2H?7z
zUw`ho=LSs^M^W4~gO6#v_rCeKvV3mPpaN_+gKw_k?+L!OEMI$S?>DS9oA*zWPnbY4
zET4RS6gS;|zuUwSl*shMQkLWWl`+rg14k=n^MQsruj?G@X7c5eazh@>%hR8gFR_it
zYT!LhD=`tbF#sFRcYcxpJs@o(ladA~hg~#RfgWvpEkh7&$(iPxkxdXSIx!e~#!`+-
z{$q2*Dv8!OOuEPOATq3U6hTqU0mS=3Q<QE_V2sI>_J$NCk~wE$1xBK}u|A5rq?=}c
zV1!JPLI$W@RZf+pN~My+(I^lWb(7^(hG%mhl?U>bembN^Q8v&=d;4cd1V~O31LSdt
z6!YoP?4V~1z$l17h)g)Avx0auy!wz~PK=JSIPUhlA+k0}e9l}5B1WXDG$Ylm>(C@g
zLa?rzN<U0ZBt~$*b##aFbb8k-o!51q?!0^F<Fi*N_#aU=Br<HtUdV#yC@3fnN$1GW
z?Ax_+$QPm+Tf42nj(6bcWWKryE<wpbk)(=6n(O0c^VuB!-HrEd+awuO`Agns!vJYo
z_2XEspIMQ#D-58rdu~1Ss#~{`=lA>lP}Ft1xOM+#8xw%{r}JIebR$y~dCtDuEx&=9
zny7B*{fKtm&kHqu2>75V&-#NjQ`$SAy1F>%_W0lLzqZ>SR29TY33VJ}S@!cy9L135
z!@7It>=fYYm6v~iJm^nvuUC6}07pmnWX0iV1Z|or)j+Lv@>BhOzu)io`*$M3D2pP9
zqBIbNqN)(^kmF`32Q%ZohXp*2rf3b_i=KjBUh}?0KgZIxB<4XT6^)~o&8TXZ`AJp8
ztL>;->61;%vZ^ZAV&u|<KsOQZq@4&}5pXJEE$W0(^a{<kSNM;vbS*(EC0ao(X7s>_
zvSn%x|Be+!Nh64l>iUD%B8;PJ59%5$CW8AJK0MAg3_ted(P#wNr#^<E!k9@+*6DD=
z<cvLe62LQX<h?QKp7SF746fZac*S#-(sNxX6e5FAf!uYysy>Lr|Bmp3s@gx2q~+WA
zY^oP8Uj6va&JH0<KF0nM!FLNGj2mwhAcXk%+8NxqF2wtPI$Su1qvMSv8d|NJbF3@3
z-IhP8-X44iT_=e}4~FmuVfi&>+zCZNWio~U%(3{1Q*w)-Ohs#jZ$19_<C-wE*+F1g
zY^7$JP80;%vIj!9EZrp3k(APvSE=f>&(@Dr_17MM{Bc#C8#2oZR(KGEu4QFQ&(|GC
z=(^=N>I=AOiNRIP5ZdFa`XkK{+Iqs6v!BRD5ju|UME9WkYfFrR>_}D%!4P_HtU>k;
zVK5jBM|XKLoR<BnJBj}vC)nqj48vK4T^Y*HOFkJY|GPp>&oim=v-|7sBvqaGK?4jk
zHD{U#J&&!SJ%bs^9VhIQ7h7g+Sa^|?5L8u__aDpiyx;gO&Kb-DXZ#wR!Kw!+w=~@Z
zaBR~6P4g|G>)gPwR3U&!i0;%g&DSi0Fv2Ij=7N~yv&O+S_&4|#{!zW)zj5)E=ndXU
z?Z^X%ai7f7e<F%nh=NK2v9Z!WG9X!Q%N9L)#<i3K6A^#NDz?fMx2-M|>VO<}G#V1L
zi*O@b?Z~C;|H&l$jyo8h#V3~2G)<P=nVI&Cvy`N1x_lDupG;u&(4%)uCSKwnUAy?K
zjSYZ}jb~k4JL<jR7{G}IZ_bt&$T<v#F@wP{X5@l9?|BQ}!p$>=0k~}##6AIVjGN}j
zn;(XT5r&2lJp0COmsBSqO_!I_6xzBlL;-2Kw4A1JvZ9ApAA0oAp>BEet-T(=#>TUr
zwXp%v>)rY`cKr#cX-S+W#w8vELBLoL1R;A{rncK^4F)U-f`GFy2m<z2IB^}%yQNt(
zjW9HfFf<TC45<fygs1Q!l%X*?fi9q@qL(2AjJFw-#IEKBv0jB;Np>5NNzmXX8W57A
zMoIr-W^w2{sBcj5YS39*so{8j*==V+LV_FULG#qH^>i`cZ~fS*+xgpH``XuTU0rtF
zLU?Q!K^VC~rJeUSo6T@WsGYPa-}}T9PuL2Z;1joLMd96}hxUIeNfIkDgsu>-8bJ^Q
zMqmj+G3O>=_z)DDG;dG2|6YtSw0*BdC=P>W-S^oc@{R3wd%N@IwLF!7j3u6@p8NTk
zRYh@Z&hPDmrWz(8fEeQFJYIzY#b^;7LTAx=^c0yKI?^OCOz6KD`m%<?Hrlo}AD`}&
z{i-Xh(4UB9+u`L<5JvmVl0g}efyhtEI4d1p*B4o>m(nG(H#h$`{eHiXqbLe--H}d$
zf%pNzK|uaN5EeybxTI;6Vrh{<RPQt`JX_bp#B~WY_xASAoY~sid-k*UfGWP<U-AQm
zzV(3z9so@%TAB_g-5^mE*u&Vgil$*ebF^+W1Xq$IaRFn`gIKN_N_%xhqD3_5K@EDa
zX*u=G%e9h5D>za!6sh)@hWtkpluJuX%PWqHAqW=AA->GnMx)V?nhrk#VeG!{?Afzt
zS8Hj#J_Pz6TuZ}d7{b?Dhu!^m{!&EP%}aOjU;Ywq=H+}N2gHlR1y7<^BLwn3wjE*6
zK=qR0l0c0LejjyUs-xg(l;Onq5l^77bXJJj3;3w##wtdB?a28(TYiKN{fWX4!pJXS
zk6>=qOerPf*Epk82%!_ItAyyBV=_s(l+vtO9FrUEFmmWKH8i@Nx#Oi9EX>X}7TWDh
z*V=P)!CaQDFE3$A;vc)&<WRkCLJbs{c^+5_|JGoI6D-VEDZY5-TdMlcnPzu%Z{7Nu
zrTO3$WjSM5%|<R3yInX|v<NWPDa+Q(>gp=S0G%vT^8FTHga14ax`$W%fgWX?m2J8f
z?9i_P2Ha5Qg~I`0H8<G$aM+5=Y8dnG(x6(2eEfesLC6o*lJQU!)5(o*2GeZh6FSKo
zl0Zxab7k73KmoJ|OZYHR^)RdJ^?IPI1QVc5WozILvfp}&fv4l`-u{2g#c=}e%Hw!W
z+F|IK02IgdQ&ltlAei%fg)znV=7PXCHK0(J)vK}PhM_HMTmMU^k0As;LU@W0c?CkW
zi4grOgp~UbQvMDhb{|6QpAh1oLr7gmNc}g2w2vXAQ-lOXNPG?<!$-(?9YV%GA!L3J
zA?ueAl4lUIDMI#R2ss8q&f5@jRfOE{A>^$i<n1BkA3?~+Lod;$J8iC{?Y6XSpk0A>
zf6~654zJO%K*w9?v@M;kq;rAJ^>itx>ms^+NB3rW)Y7wpo{jW=i$06!*PnhZ^j}pT
z`u{c7!=^E;l|q5xl?;E55qC4Pl96XJs)^A}j9t&TW+rrILNgQFGkG3UJ5yQB&YQAx
zkzI~vmlk#{vD=sIxr)7N*r&igE$q9D{pvXIN)9@N>PC)g&(T#J)4;L&aO^EidyeT(
zG2=C6&SK`T9KR1IH}KDTPFcn&MgBF4Q>&R*!Td?gFR|bu7B;i!ZWdRuq`<OCEGx0R
zj+Hg6dWhA3vZln^3#l8&X_s=^ubf`X=`XRa$ogB@Fp7=XxQsK(IkS<omT`7DXV-Gh
zwwzPs+`Boig7ccWxSmTl<+8zC-kr;T<%%1)@=UHSaP>o6^BncFxON=ZeaH>BaN}TZ
zyp)@IbMsT&+MnCTar>s+-b_OschqzDD(?A^`@W>Hg$F8lu$G7J=HVib975A~Ja#FM
z*U?<dzc1yf-aLb68+mRp&u_`|U-IH$Ub=;syYosFuTJ9C?|8k2cebUaz<aCsa7#XF
z<>L~c7Wk}^FJ9xzS$uN~#RA15|9OdTzvO?j`2S$OJD%^4=ZClWaUXvClh$f}|B^o%
z`D-43m&B%$eIzeQS-ouXlx$WZn|&%<6lCj4*`~d0ceHHZS$3Et<>m5^ePqW5+3{1U
zm?jks(&i~?S1#>)ONR>SP$wNr(z(5Keond^FI^9iZd*#XdD6YVbZ?cO<<j#*>0OXM
zHPZK7>Gz!sd`pHj%h2^w7%aoLl~J3@XfnD+#`KmkB^h_Tj9(<<OET#~ncOH-FO|yg
zWanzxxm9-UEqheR9<8$HVA-oE`&P)l^|Id$vVXlC)Fg*=mP5zM;k8n|j~vlijws2|
zpUN>$$#GRO?M#{ekj$)+S@klzRpvY-b6e#2L*&FNsX0JuTIA$ua_V52cZ1A-OBSq`
zh0U^Pnk;IP#h=R3-m>gDS>9h(Rm-ZPtge(b?PX1)tbIy0Y%3c|a>m_qX0@DkshoYG
zoZTwtERu8YmP@{rE9S|S-R0_C<?52uZz|WWm+LN+TT60#tu$209f!zWm2x+^dy(9G
zh%|00_gBdM>*c{pdFWhus3;HD$|JkVBd<wQl|0rYk57~4CV8q{p01N;$+Pq1xkd8A
z@$$-Gd9}a1MqV$->wn6d^W?1-dAmX09VhRW<h?WH{io!EQSw2veApr%wa6#r^G)UR
zU*)Sh`FfIkeWeuV$+zWFYLNdn%6FaRyHDkZ8fk4WKTnch8s)c9^4ksa+lTVUh4NR8
z{C%OavMObp)G6D%sBDYlm2K6kZ2KzmVC;O1{f!CVG1+%aUKdjy$5i2%`Z}iRgK0Bj
zhR2xYGG>j(tm`pbL(E<ivrosIEiiXh%oC1zn_&LUSYSUEoR5X>W0AaAv@RA4$KoZi
zL>nx*982xSGMlm7bSys~D{RI}C9z6LtU3Uz&ByAWu@+b-FV@+N_10s<7T7o%n*?LK
z^Vp##b}Wir(qi`(*s~4x?ScL3V*haLe;EfX#)0>7a5N4ni^GC(*lrw=5l2kMk$G|C
ze;kt+$Cky36L8jNTv!kn6~)E3aa}`Pw;Z=s#BG~#drjO~5O=-C-KTMH3*5IJ50u1%
zJ@C+NJdzZTw!ovG@pwTz8;|F}bLa7VUA(v-FWtr~W$|iVyuKN4e8=0X@y>R<I|A=j
z#rxOs;bnZD7GFf;%jfvI3%<FIZztos`S_tIew>Y;_T%UI_%$BCl?0LpVhI2MscB09
zfB@-`hu^5%hXPLX|4_&?P8QdAINhOjdPI8a&shOJcIX`M`FZF(xA}4C3OBi@S6|~|
zA!_X`Fi^j4|60W?I23RxREI)#)t}+D=?<-vsr1k(25SA#Ilc$>(0O#Qap($f)%3bt
z<x;42ZS6M>jI%2<+HB)Gb00pMVs9C@ySDc7a9c+5_i<lM>ndBzc-+^W?$n6j+46dF
zyFb~hG?S4Y>fW0z+Z?r3QF?iuzL6(B^@})p2m0X|Mwi|<ZWcwkt$q9&pYrR}u0EGW
z4ovdO$;vt}jcxXpaVu47YjMU)Txa5~T`nrGUrAoDlwB+}o(&ERo|IWu7)ET;7J^iq
z;R-AICJY68EQy(KEBX673nOIi_$%g5j|Hvf`jJ%_Gp3KGLzgK-`gG|rM0owooA;kd
zXRlSJ8KUX&hOIvh7t$kIsy{&&)IZ}lF69mKym!;5*h)VC@Q2sGe2K@?;Fu8+k^kBp
zzn<#O>U70t%2&xAU`TlN{OJmdd)L~067x#2P<3&qHG(TwGAHlqU$_L1#j<2Ug-3s$
Nb?&+EAr}Jx001#^dC~v?

literal 0
HcmV?d00001

diff --git a/docs/deps/font-awesome-6.5.2/webfonts/fa-regular-400.ttf b/docs/deps/font-awesome-6.5.2/webfonts/fa-regular-400.ttf
new file mode 100644
index 0000000000000000000000000000000000000000..549d68dc023ff6e31b8774d784c2cfcc231e7976
GIT binary patch
literal 67860
zcmeFa34C1Dc{hB{o#oEHFWNQINHek}+cVlmwy_zEZ43q?%;vC)1cKR>vcyTCQ5Kd2
z!Ye2tG$oA^2z3+ExFl~%7FuO%NK0BbO(`L1s%(^|U;2)O<&cDq-~a!dduK+rY;4-(
z>-YUS(sS>*+qvgF=Q+=Io^!5{LI|Ij5)P4h-PvmfFTMVfON5YpI6Lvi>n@u-?XeH<
z6T<nN5b3EauYK#A{_d&E#)Rl_3h_^#T~}Oo`3l!}?!>*114eh@g!43q3+bN#dUjoR
z)9!b6h@T_ByM%CzUwgwFFZ+{!z43V=+IHgHC$76}_oVo-xrnp}_h+uZ?7Azi*zAo9
z@#_HI>6*OZ#+%lD>(9R_#KD9R-l{-Z9WIyn%+4FzE)AcsDEtN<6XHk3Z`^M0559cx
zN#joWG>$z&Uq<%$fBN8)LKsuH{<3i=&n)?UN1geO`H~2#^SmyX+~t(}<g`HD<mvKF
zxO$4UUlh&aJ;+(O9JL%}q?Q!or1Q@{L(Gb<g9mjPP_}I<cWzFU#9RicDeTMG&jQNA
zk7FsP4*m+q5gel^NS6=(67XxB{|~k2`9_$+G4G$kJ!KJL^{q7bzvMe=_s{ZL!*N-q
zGwS_3&+9yA@5={YQTOv2@;B5m^HlJPei!ioD2pVYv(h?`DeG7qvM(R3qE&vW??;-~
z%ho+p2VX%Nd7;hhb3$LMm1Wi{BlhZ9T*tKto_WQX(%0<swSBpMUe%A!;vBEr$7(;N
z@~Y))2;iOPX6t28&sg`>%5=!Fe(%A9wfCdGDqU9Z%`}#?mdC8f)b1DRzIIh7bRM2x
zQqEa*y`h|{d;#Wb<&iPUI?ep;w4FcmRdvEW>bj^sXFbpMww~ubvkDYl0w<(VtE^W0
zi9?@1+A-Re_fH+|o@2ZQTCwYdEWx9M1JI+>o?#rZU-w||1A7=2P7gY&d<G{?@r>va
zy`o>N6&Hxh#2dsL#pU7(@g{Ml*d?wKSBq=Jwc<K)y|_V4iZ_ej5jTpP#LeOs@fNXL
zyj8qS{IU3xY+v@JY_)f$_iuZD-TO*T<f6Iu+}hj)xeId_<u1-$lDjl_MeY;1Pv)M=
zyYk+=KOe{!^PBTq^JnMJ$)B4)KYw}t1O2W2ZT&s{<3GIpht-Os;;OhSW+hQcRnnD~
zN^7OP(p~APtgdXVY_4pnY^}V$a#7{t%9WL?D%V#gD>qhduH0Igs@zezvvODEy_NS>
z9;iH6`C#S4m6^)NDt}b@dgbZLT;->g7b^c&d8u-s@{7vLmFj$8K02S6PtLc@x6QZD
zXXpFoSI!U3Z=T;ef6Dx6^JmWQm_K*^qWLT4@0h=LetQ1?`3L7eHUG`|Z_Ph9|K0iT
z&Hs4*XY&W<e=+~d`Cl#g7EWC_ZQ+cC@r4}=7cN}9aMQx>g|{udec{~;cQ4$t@cxB+
z7w%v9z{0}|pIi8|h0ia1Vd0AlUs`x-;m;Rl7rwIa)rD^_d}rbN3qOC!c&YED3t#&9
zOMkaNvcGr#y8S2aKWYET`?u^rW&cI{Z`=Q={m<`zVR2xwxH!6a(&BlGS1!J7@t(zp
z7eBuE*~KRpXBWS+`1HYpXyq=E6)QzSobcbMHJz{0n&%(Znr}a1Yd(tB{D#$<KU=0X
zo0e_OGv>$9nitMrK7YGv&HGeqe)$Nkc}lG{&p~Ux8Lj!&Wm@yIhqdOH(VF`jT65=d
zwB}nE-?8}M;-ib7ski3Axr6_F@OuaU@!&t8UH@PIb$qg8NQlU4z$z9d(xHnKNkrli
zU-;MI13V5>15&^6zVP3MzZHHa{EhI}!hgY2;imwfQK?Uc{}}1V!tV{=6@Ifivnza=
z+Fu-ojuhUi(&g}p-18S+5pE7QVV?}g!!hiAVMj>4D+IkNG#mO<=o6tC-Whr@G#$Df
z`*#Cw43)4Q1{6YTLaRfqNTt<XCQ@#u_zTVfegOC<!1vXe?;`aK;H$yU1V0jdTX1{O
z2>fH<_k{>d2CfZU6Sz8XRbW@(92`6S&+!TU^Iz;g!+(N*%)iFp=Wq2l`J?`b->>+u
zb%%WJ`2UP<W2GUCj1iIlkK8X`lrI=gc|iU^{>&IP*5PlpQ7{Vf3FQ2&T#(<FPvhzV
zIbnDVx4c}wL7oY%?E$&Nh#`m1%6nK8`6%FBfEVOmY=4CPj8#Nl{g8YR+pF={CV}_H
zpL~ye53X$nTq0FV$qVf3a--bDG_Jf!?QvZW$N`mZf`0w1_zKfFi&jy;&*>e?If1j#
zc&+0;32DWj?8atBrP^@R!W4fj7vA<Pwv=ZfNULkbmym*1Ez!2p2{6=?Ree@JSKFe+
zm;6v;{GJx8@z+P~^awu*^}qo+>k@7e6)_PP36T^jkrqwRid#ghXcO(CLv$jKF3}B+
z+yfb#6M5vi0^GS@42V^D#~LvxhQzQai7~Mr9D9Q}No*1)i!EX+bmh~<xHwCkBhD4)
ziSxzl#f9Qxaf!H8Oe~Sl*C{#tc5$ni67Lqbi}#7U#k9Cz{GNC~JSaXW9umJV{y=;L
zSa?J{Dn2eAgT(%X_#`ZsPl-PfpB8(?pNatM89rUtR&K$*%L0jg7SIbY04o9g02iPD
zSPMW;LfHlM2LWsd$Q=zS?B8Gk``jBXAT?cXK{NJOSip8A%@EK}p@C>Xn?o1T(2o68
z7Lfm3Z9ymY*I1Cj{#pxIkLxTT6<u!u>vV$!J=jlLz<QD&5psavu^^BAjTZD_f0G3(
zu)o;?;^r0$h@-byK-%AJ0XgSeEdVEl{-j|I_TY#LZpHpjEVvu!$NLCqf02Dj16o>S
zLDK}{pm#<CC`R=Dtp?DH=>4?@b^aBk0Zg-M1mZG>HY0$tL=N~Rfc8WVZA$><i5%LN
z0J;%5l!L%B<}T6zIuf~yHGsNA?h*~Ok8{iy0D2QSv^4>AFLJyOz;fo8FF>WALK;9k
z<y{(Bw!BvZ`h>{)HGtklKA-`VFY-kVq|f|j4WNCI->N~S&qf-6J}dI)Xi({Mkp_@g
z=TRntN`qGOq*s(V{{ao?_oBa51A36?Z_}XCpr?KS>(UQg6VS`W4^dVE`^^v0ZUlky
zRva2wuZk0Zvh!UPyo11JE9hec@Cs2uxd~zhd-O2^`%opVL5yIJzC=Ku7ZsF~fSxZZ
zXj=j}iKw7I5X30<C@%q=NK`<V1n?wL*{Fg2ys}w?Scm-<4PpZOts2-y71X%`dI2{R
z70?DjrTIPp`9uZ%nm`;@Kz{_bSLJ#Qg72KvAWp>oMh&8j{mmM{Cq?D$fLrnGChVs)
z2$t~<4d9}pa;FCJlFD5g$V)2k)c`&#Dxe#J!ubP81H>uVKd6EIrSd@y3MU^%8bEJG
zWk!QI75k5A0LK=UM*)9?drrgt>l(zF*nb1?G|s;c`#BA&-G7QSK-KF7qyeh@KSTQ8
zklum)OBz)E2apDkS5|(Zfqbs=vIfWuQ2~7sAU(u9`UrtEIUm)a(g~yi#Nm8W1LTjG
z2ald7{p`fPO#}JQe7gqH$$VA=aX8<nf&FNHr3Ut$dC)FFfDY!-HU!e%Jf8tTo{4$j
znxN9a*F1o<G=ByFI3tbCqYdVP1Im+m)QtcMEaq7z<W2gYzZ`%)+j{<Xz#T|~w&w5E
zAU=-$v<65*F@GQ6e%x~n_GoK@!WH<`Jb?I||1#j4NP{-#zomhEef~KO<m>a_)u7Vf
zLmHrP`(va5<YV(_M*{i%Jlc&Q-i|%mj-b-NL>d4|F6Muw0a}Gv@M#dYVGlelfY!wC
zVh=nK#1!^tXb|tj9=IY<Ml1kl1o1BHL6-}_mpYF&SO7p*5DRYx+=TQ!*rPrKXb@rn
z<z7H}RT^bo06<p|3(OZl`d{Gl0O%WHfzJa}`u#`)poNG9;Gdw<ybnNKV&MZC=&x9K
zSOYX5vG7^I=Wx#h*#DUZXfk5q^BSPjh=ng`Q0Xrs4S=R27QUoGrJq6?0R2ZS{J92|
zo<$l!Ub=wxUHA&pAHx2t8lWwSg?)f;<2=jt9SxMt3*Xm3IkNC`4Pr)!mrx&q_$c=1
z3k2~o>~{h#MEVizL4O4CN7(<J2C+wo{Sgh!e}AtA)_wmv4V0(*!3PPHzxz+pK-s$g
zWDS(9`?qMIT;2~lAy6*wzeodR)Bf8ukU#9_GXS>f{^vD_C$N7(1Iw^DpaD9rSS)IQ
zwksA#HBjGMM0p5o$HntBh|geur3Ud?>_JP5Z^J$R8~b+vNGE99MYQW8a4f!#J^JJ#
z@$(G!d>+q<zrp@V4FYYlIIBSbe~V~0f<QYhKCMCgy^t?8E1+H^U)rvK{9L~DBL(c&
z@}-|D5Ws_cX}<!>J_+0s1Z0rhe})3`6S@CP1=K<1{>v4Re&qgp6|ha^{@+(XIU@Ie
zNP$lO0n(r;b^c+bSzq4sQ3XPrjs4>a*cNjC6AH-R<o?enU|*B_|6BoOhur^V1?1au
z|5p?U@NK#OYYNB@<^HcLAn%p?|5AZY|25KojWT=;`-%ecCApYTARu4lVp0M5l3YwF
zpgtfMn-oyLmW!xAfV@sFjwsM+)MxQ*oaecBDG-ox5^YTo;x6nTRiN;&_z9#z<E$6j
zoFE`i<>KcRP{zr{FDjruE*JkofvWo=@BmPCUqrnCs_u(_gEVMIJ^K$x{{zw=#{O9a
z?ALPfUlma1%Eg~4pv;wvzfwTHCl5da1PJjY_ELcm-^AWfAjB;8XeWRWDDMHM0wKPD
zy-R@*DEk4o0wJEl-m5^MugL>G1p>4!4+IqmSg`UyL;-Coc_6KTeMBAr{sBUK1AEXp
zKnS$$fmQ`V03Qe16bSKE?AsLx*xd3!Mu9-zln1&M2=TYr=M)I>Iqdrt2==1`0}9wr
z<$+ZS*dOJA)e6|}<bfdt?AP+Zr~>w1d0>+Q>JRe3W(7igOUPf$DNuCsiytEWLzEx%
z^NSxT(CHr|{bTF=PmunJmHsKxKSg>k_Ae;V>3>1`U##;lBK@M3M*IHaU#&FS_ZL62
z(*K6^zv=WZfpdVO!(WDw4q53Iq+5`_9s8^TA<+MRxk7;upuu0F`~dyz&yoH)(w70o
zA#Hyqe@8wkUxC-=dgEc^2aZ9<)s8PX4QI~znDgIV3D-u~<*vVUpXPp>`+2j?e1kb-
ze%sUSImh!Z&y${?d41kZ-rw<l#pm>0;`@Yu*uT?%kN*k(zXvjbt$|wte-rEoJ`{W<
zbbaW#@crR`kF1Q`8|{w%VayYIH2#J}TjI&&K=N(Lze%l5{V3g&{;Q_ZrcX3q+p@Z4
zf9n_8`r009d%k_JeYWGwj?ZP^mtE-D)bq36>0EdIwERq;r|+V^Cs+LLO83f%m0##j
z^k2|FJMcTJdRFaUeeLS6tr=VM{lfi4U-8!B!r<gkV(5Wk-|)Le21affEsV~UE-F1g
z_O7)}>vpc2Ssz$`?fU0Vc;AN28(!IX(}{g2zFdCxq=}QhziI2HzdCv2$q%0V^5*L|
ze}7Bg*0!y0JEiTE$G5H9_JvbVICbjOhfedI_WkX<Pj{a_dHRcIOq}uDnd4{9ysq%N
z4~?HN{)MwHIBVaI%Xd`I&Yk_EbKZCE=5wp({muE;?>u4W4_^PS3*L0$<VCA5n!ETr
zm+ZOpg^9;5yX6f#-mw3T)hkYa)9x!%S032)=vAAp`r6eGU9;_)m#_WFb?dI%cl~?N
zQZ9_J&dMn{3tJ=z-L;jrQ>kQ@^2KO+C_9udnx%9;9mOs?luZ{)U8AL9akSJ`Or=ve
z?Ka(JS235*<)eig@oRtKg%@tTahl2VRI>Ul84M+4CJ_osrmAyHwLFGj^|LD<du$&P
z@^tQMcTCtRIYTY!;G8HU<%c&(#B+JK8O6ItOHs!lOENN?&t<z!cQTPq4UHM8ltE|;
zdGQPBt-OmTt8?7SOm%1N0xkmu>K#9jv+`q*F=yc&Dbp+t6-&j@v`(ecZZlitIXmUf
z=Srm_&)KP5eze4AvcQE-jiybrWU6ydC5`Y65i^x^gic{0&T2oCyYr(w6~005wl!SY
ziJRT+?d><T-ylEYPHjIo>A;p1o95=+q+#+Tw+$y9ADqSy{95?Yro(8{i!F>Li``ka
zlpAfvKh^|)JcE|QpLL~J983=mB^7>0(8~DJ*Ym6w{&=P|%4gM;ktg|jm$Rp{%j*sV
zQ;FuLCS$lG=yW-pon51`rlx4pZ^n~ttqF(WK$TNQd-G86kXv2hXnT7{XH(L2COcNj
zJw!yoh$U8bHZ=tUrpFzKcs-tIDi|~!ZnwuwBz<1fbjU&8Sd_l#$kH2=UcX^DU2aD*
zWqMpiY7rPwe}{YrXsC&PJc(MFvIuOHq)XM_R5dEeB?oT~g`&~wEVr^;Jt)&nO=)Ru
z#ge1fMWdlmb(ULM4!4E_fpDwd9u$p7c=f?w9h{SQfSwDav~;pYXXzr^BcCrO(Wi3x
zks58~i@<t1U1WRAri^zdg1+dTcSe1|#Jh>lrN?r{NPYM$Uo;Us=bT_7>O1Sh#L=N=
zK=V>W4p!t|ISmi3?o~<9t{Zq5LJ8QvMnLbQr5sv*<Ym5ShB+a7J0*7?azb6Q`_r6c
zpH0HcE8?1C0K=#)sgRU3QgWL`9PwRz8{fzC!dSIx^X65n40}IQ=*&o&=`7fLDeTKr
zwZtTEn6mFs3D!~JTF6J>i57A23G{2Wd8rt+>pG-s7=0)Z4D5<}L-Ebytktev+>Xn;
zLMU#Th+I+q4C_abyH(!5L_4yM{m9$RoE1-C-)D_@M)M2B9q~@S3D|sKWqS|lq^EzQ
zc|u>_kOPnXJ@c(rB5s%e@7ttoY0aB*QnvMw@Us2V$oHMFVdcZ>)uFKeFWdU^tu0cO
z;n!9fU?%~~iYHs|WeLc&y75k%g4njiv?>R&t#}x5o&q_z-Tn{sjrHcF%=M04*wNG+
zlAc)7Z$!H;>`6CC*_7_NT;23Fpa2|IqAdT5_wt!YxW$?Ddt%NGb)$NK*Nv1a=YOD_
zQ}Qu*|4~k~gM;lbv<#)8RHTV)vGkNTo(N2%y9X8Z^$|yX#KFGX<ZX$7H(sp-`~lTY
zyLkE`-tZ6=5VX6Emy*Iuop0N1b9BrAXQfic72n4!zm&eyM#`ma>2$zl0x7Og`=vHg
z9`&21%*cD<lEt{o#z-jC>`4a9n5U(N5wFJ&Lr%*Z(#{`2-lBi>=JG{VZ_rTE?hX0T
zAx%cQyNr^6D2`-=q&}E&HQRmScTLmo2i(gQcSmB8z^S@7WZj*4yIXuj+I@=q^1vq}
zfk^BE;tMkNd3iEuIbqS!AYO$w0v_T@qLD%(=nL*jFcI@T|AMA~Kp;?^jCq3zd97+^
zSO6A1cEbz#Mr5pOM!rJMf~~5brb6^bNJ<krhFwuDV@RPx#RC5HcBD`&;vlO|k#zM9
z_CvBDv)Pfpk!)5PD_SEF9&O`MB+|OVxHS@qWKu~flc~%$I}z#Yvy-)i?BO$fcwJAl
zwXNGe>TYX|_N=>=&)d&%UpVxH-LBtNJVCW9xO-7?QZ(HN3r;Mg-C4U1x&{{GC>&$6
zN}-zbnA`Q&@^*PU+f}AaSJ9<pOfRTyxYP@RlD})ls^62nF^@l4-5ZcWIi3v28<T<i
zf6t$cdG@%&A#;xho)73q5it&VQGg6hgG$(*U5cl5B^%PJo61SW(5AVy)3U(cLD*|2
zR6j*Tn=W76oo4ySpHZ^Xa2};J9iEu%t$vTiljA5}b#Kz&P&_jfHusn;9?J*XD}aWF
z>AALKj_&W2IzY3MHIy^MiW`rPXo+J}=V&Q@xI$T$sdRUyJDrlUa~Kqc@`py6A?15}
zMl++mJ?hNF5@l20jmKQMRCn`AgS9rIzV28{ONWb($e!L&g`n9(6jAEBvj$_VPNVl!
zY6(d)Vc#LyXyP9&>2tO;wOItu6OxeN)P@I3b{*4rRCU1=I+qkX*RMB>_3L-C6x-IW
z>+Y7ayL;W*ZC1LaC0}gGjt=SbLjxHzm@<Nacsvl~Q`=;=r-yw-ZKrukWeD6X$wp<_
zmTzg1MsF`K4XGSkd_dZG8!|(dZG3Xyiew^@T%osYOYraSfo`ckw4p88bCkqDyA2hg
zCqegg#9@w<is@(Fk%)T_Rl@GMZeKEC?%Dd}lTTiBk-RS?WvDut^qGmX&PtfRq@1q)
z^YhP>R_c7J6QfU?6g6vIL~A3B{E0ZvrtvPSUv=?uDBBttYl?)W3`d&oA?Jw4JJHTy
zCf8nj(@i%?^IDsC;OGH6eUB;S3?JFEM?H+&d)qt0*-_^3^fazoOsCFl%xRWi9{lCO
z=j5G`AMmltT((%W?H{ywqgIc`#viDMnx))1x@F7g;2^gVC?Er4_zet%@Eg!+=o=Av
z!tn6u)~%z%!#Ildhw<xQwHCjDfp91k9-!*NGAO$YeRl@_&s7S8w8|Rv3sY--8f97=
zq0}WlqhqL>xodlI&@cvz+jor-3A;`l9BPO5(9u3Lc;YUFkV$D)_nMOT@LrEPsjgf1
z;xRc66x8I7F3F*7Ngb9NHA|=TS=E#(U2C=q`$EN(PjdgHH1%;~`>^jz^C9l;LZPrz
zZBcu7_7FN+qCp?>Mn1jVn`ZW@*Dw2yS>SrG_6~9Ywk~T%!lcBed?9`txP-Fr=4?!F
zE);wp;2S;?^#`PP<Hidbk-l?7I2ef)w#Z2v<FbF{CYB`-h`oO8IzzXOe#9t6V&UKb
z)ldunq=jy1GszJMc~+k6l}xwGN@=rwq}V0LnJJ+<XQyOl_UWge=GhnbaQl$b=c<!T
z!?WGc#<W+oonmY8S`KBQ)mtsx#HS|Jvocao-$m;PFI8Kn5FLbVL*5y@$o6UwkL>j1
zr#7~uIF^)gwvob2EZYRK4jETpwv{m@3j1v3OM2?`@?Cif`feBMK?Fr>_7>Qg;%#}_
zgvweOsY%W82f_$3`_Knz6a0(i(5OtYZnunoC+ZK!pZ_4c=D$3vaFwz2Fo;HIA;b%N
zAZdj)7)u$?@yQA|s?c}oW{}gWkh(w3!fxup^P}l_F;3-Ed3%@xWNEe=Rt3F3I>%_#
z_u0?-z&)7H!zK)MZLUP*N1UPR|B=y<(;d}~Da$|i`+r`AC5v}YN8MK2{u6k~BZ}KY
zD?!f0JM#zMYIsj1?3X#!a^bMQ`n*oz9f9g2Qn^&BlM&PDmzPwZ(D_G9<ga-Z`%eqK
zTk&pXc`A>QmXeT@)JAhzAc@R_)vI-*A#^SL%@z9kn(*uEE7VhSvb|$?Wc~V);f{8>
zBt6-bUa@lZ>Xj?#G_X^9Hw+DRc64+O4Q;5W?DCaSzNoU7m#D-fK?lyTv$ITEU7?6q
zy=-i9a&kbwd|<aUJ-c`BK51pYVf3#&X_EX>p=c6C8{l0}oARLGHQqz6JBJoGQZQ(V
zqtDB4C>)K!18D26w(Y22P7dQbjL85yP;9mPqCnm;+J7N9N%+E*HQp@?W7`^ejm1RP
zjRq0RI66xPCEKovg8^Mr*le?_C-as#XngX5jVFQegv(aDvM<dbK5G>1svEC{nwqYV
z2MR6Z9WKeUN(2y1*S{qckNU4z-HxWr=hjW_o|>AH=2UNUvy{!vy&f$LX7>_f4?V^{
z_x?anPjOu?FX#3^qTwFi3l?(lm4n}vo6*NHwvSRlr^Vl3x}f+7(!ioy*?hTtH~J*~
zJG?{vp`_a9)}1f#8vjb^qN;<wL-F)nzJz|5GcW9M!zUKbu9vd4tu@^g3b;dSM^8yK
zHz%dXm2`Pi4yV(VOr;_lbJne3<m%R7(B0I;n*-@oFzGZ?{$$GUbZ*SaE5cprK+vBI
zNz>~KhuhkEHl&k&hsOh_n>UqkNeM{^51cnzztQJaH#(iX)o?nIU&4WR8%<4K43TP{
zLK%@%IH9g!`Ei$U?P<1zBFa4$x4ujD<lQ`P@e2A9W<&=0H1cMfSCdAGH6BwC^sU&i
zVMQO>4C&F)9Xm!x$$7x4UsR`Y`9;3rMRfr;;E3;0K7`xl$F)st^FZpM$lU>-TsY~w
z|9+)$nqitD3HgU+qWW=pA(hSQB-Kwjo%E@^UO6~tY(}(c56W!u(^BfNJeha5$~%(u
zz2%MWXw?12x8Mz~X)_veUv`;05_R9_O307664n1LPm4$yseVpwPq_F#XrB>za`mYQ
zcKWqSPyDXZ6CpE|&(j1Q<v@>V@^Iw|t4SRBHg?4a9}LGL!9Vx|c3(R!---?wdE$vk
zFdX~*=h^u_W2IHy=m(=NN~=)kZLy}B6wCLcV+9^z3p^5t#zP<YfP63-2*rP-U5Y=7
zhXT=WeM|S7IYidZXgOf{vm_J<G8pYg<B|4QjfYLQuljA-#@4Iu<&j)d{V@bGC<Y@9
zfvVEgkn+o`>i!9c`x*E=heTP?A=y3YP+PMYRZx8{OFU(>&|#@r0Y~svk=CHfB)hu0
zXn3(0BjwguOv+fSRZiKdKkQF-yeA^V@9~+d0@06#WpzT%5M;PIg+`j;?bTWPb}5+Z
zPnN?H_sei*VtOwPiM_z>|0l*~fX@%Z2l@ug63nNe6zGlzCI*y}?b4CMG|}gV8LpLw
zcme#c04(z|dMi1ivd=NXgnp|nbDrgOvsl2MLitAyhvU<0r0mL!Y#a>v-5!^FaN|g(
zOUgB$b_Ao*U=Y}CYHG=*V6bOC{b_iPQ>koAQxkA(`d|tghVjU%lN_UcdA~pF4VrG3
zGwbvB^^H1CTJ;F@TzJ6}36IBRwzl*-209;kq;tU0+tO;fJf1`XJP&d*dGJd{KWy|q
z`Wc`trm3}or<>e^H)F)i@&yAKKtM^=D2cHkR-gBnJcH+Wy~J%kFEe3t^Y4dUPTvhJ
zC`RzT?+pe5M#~L8rz`yXo6YdZ$cQU=%XuD|yxQ--Dq(ofyCvuv!I)L>{V7K%<h%ai
zkk4bDda4PR!o%15LLo=${XzM<Yp=c5?}(o34eTCsyT^71yyr$8{%b*6!bx8Po}WeJ
za~@jJ>8Oit2h;_n&JL?#zEQ3Hz^+CEX{~6)fgV5xt2L1&b{=lacG2fN0#{7FuMYxT
zZTCf^9Ua}>9UW2p?9>{lX&;l9c(Of%7Y$~6JVj%0X!}LmhXxI=Cs@5T=<&+(s-{$`
zX_ek)+uLK&Xso?GTTfN@7CSrPo9QgZ_#kt@b9kP0q@6zt`kYmI->I-o5{>HJ$S~?@
zSFlSfJj!W;)2v^P!;1JT!J<i!2|zICEn7zJYilhQ(R#(!wtA{skX_v;Y&iMk4JUMi
zCL7W(`X}Ncf9zcHz}dBH*0i^^wXa#Tww~I$Ze34zch9<YTkEO2@C%w{e=Hta`*w0U
z)X778(<p<7g%L-80-{9DgQxWt@m|Hv$jN98k&AU%Ewju>ZCW)ho0bjBW*vckSvL}r
zM?A=PQ*R;WYEPSoX9i{_!*Z6}YPqcVV~yce%Vc;Hjjk{F@8?*(BW$)cy4Ny|4`P%g
zTve~ZsGE$~Jhg$lmdlL~^Cg6d!xH7jY?nL(oI@Y5`pPQhEz)K!?Y0I<r=+PRKhVP!
zR<R#RVk}+pzfw{&2A-^&b>;P2PVG)WR|rPEJ-J-AwEo=7F1u_+e&woF{Y@i7+sC))
z@zB2N4~sil?8_73w(gdoHz}K99<S+&#acqiwlkZXn|<-5G@=XMcymuY_H&e*I@eRs
zm1fl#)u`&wNoZY~`$UytZc_*7z~)@}sNg{TyF#INRp<1;JzRAk`VfZ5q@3p1e4+Z5
zi@e^8<a-NhM1LDc$*#X1n~>xHhw`tX-%-x4Wo)dnsWIUZGPN7kxA*9b%F^rVb*p}P
zxE$_Eqlcm^q8mbhkfL07nSp?Lc83SsaTlm;syb!2dtC@ur^XwHT{WGUd%fOk`+dGi
zH>ss?h#XdAIomj@Yw^fe<d+Z`(T<v2gPK6dk%21{Jq?~-QmPcrP;B84NU&8avVIzt
zy1Fo%4%Ibm2T7f4M&X+tg|0ycl$D>y081#;zPcSI{~dSSvHA{|dtFqz9{Kv$zaDh8
zJAJ;;<+0$`lgU7;y**X^v2Ccx2vel=fInKTz}18OBxz?--i|DzQDhkkeO+fMqwCzR
ze?gX^=;a}w*U|0@ex3ORlF2+xnrg+)S7)KKlM(Fs3N-g2eD*wGX)s-+Ok5&1G`Edv
zGPDeCHmqqG;%SE)Ox8x8&2E80<p}{2O)2X9vYx8*%X;dpP-x8>x=Plpp;x4ymeX}^
zT~8gEZ_Bd|&qL>TSiMhqt@TzTqIJzYRf31UUcGv%UcGwi&8*}Ns*>esbn3XPr=Gk)
zp{g7TO<8(DO=e!o*+0F*<oUKZWSmXSYhnchSwa*_I{vhlkcSXObdJ)SslB6JO{#`!
z>;<D?7@3B?=Z0-NvWzr3Uh(<~cPJEJ*BXmL704*cAMnV~I=2Dq$vxW0+mBiJUKsWH
zWGvbWUdpZ$44ExXZ%Dd~gxi}mzSt;M*aw^ktB}haL+yr4-o*%WYy5^t0mjrHxS9G>
z>IL|kC8F)i+J(yp>>G5z4Y(k1sg#oLVj-Kth#M`%M6sa8Q%8>6-DIZN*Voyei2MEV
zM0;mnU-8i6FZUD*8#WXQJy{NJy8`KSw&9H5<?`dqm(>VZDvg06gM8ED0ZZ?$t6}vN
zSZzGk(c0dgPPezWcEsZH(BrP|G^1$J-CfyiTOiPu%`S81pP4^j>hX}f8yKL%!Ln*3
z>?Dkbd>$)*d_&2bQ!(QKvDV5Km6p<`unv6dKVmNroZ4tt$F(t9STX55`O}~pm`<2H
zuD8f2BIEFY)u6O-^0=M@mrtn17%b)E;XuR~=k}`hL;@}q8>vJ6E4wB?IC{F>2EJIV
zc{IfFz+!gww|4B<VOkY+4Xs?cGPl~kFW8#v4yl&t$)dHkjqb$IO>cCJPbOmWi-AZy
zTrF_BqchXl+<??bv~}k#D-630lC7;RD_hmTrR?bWXt`VthILzpgO7G~b-|@zwO)Hq
z`|6&0Mn=chfq?;U*MQT>Axt+{QLuEPA!wmnFtg`;F#!pAlXwTBo3&?KM-<Vnqt-!e
zQ#YlKqz4Dc1#B6J6vx!~$Vk#o3>}tW5F!V1l1V7#^l0NCi)2HBTxO_tpYj3p)ieYp
z<w?ORlw^9>xb>Twz;D_<8kgbnI8IGNPZ*!(B})n8laT^qx<HdmV>DiAoqc2xeSLez
z#&!Xx_!Y*+X8QX2!jgk*{K;_N%orT2hT;>{jhZ+EimGAFwM#k#cf}TQ5kyqOKn{?{
z%k1{t7P5t`J6kArYef_HYD@dpL{nekQoIf?zLfi(pmca!LRUJBs0)U3<1nvEj}_wC
zG=h%YCY;B9rvv_7!?8Bx2|LylHf}7ead2Pk3nyDsLEj3ev!!=<%epmd+FI#vT(f4K
zPRBw~pWBeIu-zVqll+i6^PHsv>L?s?FzrpzV}en3BRh7qq`fe<?ZUVvs!drzEWf8C
z+5d+&%C)+OhN14q?MI`5Ri^Jfa)Ngx`}sga1C`;5u}lOJmbepTQ@%*}<7Pw|%tQIs
zm70<7QXUEpK3Hy_w08RpDKb?;OBYKOU6b^XoGKIwG2f)e<BK62#<y99Z*jX?y4Kum
zDVaC7##`d8H`^6x%E<6+M2!~TEM3rOTi~S#XEMBw8(DsBz$pDw<1hsecabvz)o2d;
zQOzT!Ms(7R1{=e6d07t)(qCoYtR13oev(|P6P<8rAlA)D?c*^vO$Z-lQf=T|tmx6R
zYK14&K#_V9?zKdsQ^Jbc#S4UOdY3ZPh?=DsI^YMNHQo*TqYc{gO{8{Mnj}^70!_?0
z&;aQjY*e2jXH~Z>=@xQOJ%bC1hY#nqG)yJ+*c>!yJjOr8;h}_ZujTH}aH>o8_n&%d
zf4}5D5o07%Qwv<va;HSVR5<B(o8e7sO*7qOM@Dcj_ckGfckQOI2?r}EO|Fv0Sm|8%
zrhHCzr7*POa3EN(306-emROU`CYoAW28$c-?r7=mAI#+pBbOWG-s$i-90(FK9gf?}
zs~tvrlOF*jj#hZb?SWSAtNWY|oRq<^zo`v!z*t>AwODkeo29$AcTInHONRq1U>Sz#
zcOXNjj7D2Mj#Z2VR6Z#=Ccgqd2ci*`wdJP91?@`tmw;X6g;Ej8ykdKyq6qzwGVnm7
zv&jn&OFOIp<!!oH{)H=6eMiWAUCpy(q~9NLykq_P^_FL8P_0qm!0KAhVa<g-h-<x&
za|NYxo>-nev<}-@#b_f&fn1MUwkEeKhI=HXj0V+|iYQQgt07@J=o|HeL%2*^iuF^u
zAa^<Ga)uJ|<iP6H`5XoZfhd=R;<x-+DiaQmD-=(xTD5-N`le=IpyAZ&b^6p>`#L%T
zo>ama$>oPq9%ll|4fFMf!@2zG)dR_RBII;I6I}jmfjUgU*W83RtXh?bhg=><{nWbE
z)~P!K9UXlMrzbU(&qbVxlt=k}=ZrG=6XTT!F%#=F)v9_ZeYDh-R>Dttpo>Q_o~>bW
zWlRp~A#;^BzzM71LUNYOk*svCTCmxZoV8QcG6sqfiLEwM+)k<ut?5iAET?B@XUTwP
zXX`wRDOqL?)qOTgu=iHIDEq<~{oV-wDS|gp$RzB9F8JB03v`*Nn^qLmA(}Zml2lAX
zyDF$mkY%Xhfc%Jy%!JyRwHqy=K2T|<0C2dYf?7(@_pVI-Mkj%)X_H;P-K-sf75tcC
zd@L+05dEy8+RV+(*{GSDuu~HXJ$$N`4`+2#0Lm%&4K`q|-CHq-<^i-IbQdzLA#gUR
z{>rL?2xn*`E2KFY`6K;nIYg(iYPN@I1fzlUm~-6B=APLiEdd*VD8=>o9K=CfH8rCC
z@kA+M>X&AVNfV_|Csir3a`uTQo-i`gtmPc~OOuMxN~I9Kl=g%|M2HNBWu`T`&#v+g
z!{~P6D%-l;bV^~3VXP^f(geKAa6!qna>Ot)Jj`IY97>RVzDbrn9yAGjb?h~W2rKk;
zbOxNR&Ui4Ijz-g3kKzM;edB04yn%1^c=}?#0B_<E--f?6Ms+W<BJ5>rBiFKh;z(@}
zhir7C4T!4Il4W_a4K!9YX)#)pJV{5-v1PRFI)cFrwgE*eTa4{6q+)g%*J{PKDzQb<
zg}UJ2ONO*C&L`6PrBGgL5?YmFsQmxWCSV)DMxg&OjDBzfW^dok*~D@5a5@I;2%)r!
z$4IgjbRVGqYqUfePG^EUYsWY#ipEF~+kj(4yo+r>{sE=I0v_vj<a4kF5MRwUw0csW
ze8#pqhR8{&Z`4j5JAv+gRr-`5;Umzeoce9HIoQz=+M)#B%E3*IGH_At-)CD`d_-}Z
z99RZ@x6sHz`I-lz7u0x?Za22a2*yg$Di+v?rRuDBoC+QxvK4PL2jLXAd)E-lqFJ7G
z>bKMu;<wxs+Fz>1-WWT1E<9}D$vTjV;jOGaZDEa0?LXG&(-wzAYd@Cxp?bjxWC$N4
z#cT5gXXKP6pznc6f}|4cq0OPhJvJwwvJ>i30e6vHGnq+{wg}73&sZ|^nFJmqGqwyX
zWtG*9EGh%~iGue1qi!?k@mn#kTf{NqXUp?p1g%g4*5x+~Yg=2&1zM{HtE9)?$SJbu
zqfi=YG@whPq;%oCx*Mz|7Vkhy{Iu@VVAIT|3<#p}>FEsoff)`Es_jH|78AKtB^OOR
z-MVNaK<g~(>B}k1cOf{6-hc|+f3bLv-fFQ9yH?eY<8QXEO=W~tIf^o7sUhm+EX2|`
zv-Bt&5MLk9T6TnjWx)7~rC&r5QL@p}p`g<v;=81H+Y&7bh5*=T9-^qoBB~C(#P|j(
zKNX25B9Av{O!s#5^mN?2yv8&x!>M}%fqP*CUH<svkF)U~zd4=0`5e1Wb<%*T-RM)M
zujov!))ZG-h#h*NTDV5K3|*%P7$W;t%%7~sZGr@}sz*i2rt??tE?2EsvBEBx*5)G6
zbGEe&Y;;GW=@pJ}IF$;A9eJBq%fhR58#%3-tHNAKiXb(pGo3OS4B<Z%OnNle2RcDV
zN9##!%LruTBxK}PtTF}6^is;H5ig}*6jgI+Ne013l%OGr3Dp_Q1W&3Cl~r9y9U=vh
zr%&6r1J^m_$5-w%^@Lo3C<(X_)ue=!%ae?SokfQ?9QSxS>XCaL9#1^%brhZ9c+zxT
zrRL^RtiiZpHEB1^@ZcMn7540g6&a7OHN)ZhmS(@df2|$Rx3=H!lg%w0!_Tz(Ja6Ub
zp`8cOU!7t`kqGky-6;Qo{3>uWfE5bP0M%$sK{F7=CK<(~y^3_q!1G7^V3Yxb1G!G*
zaViAeN?M$e?(C@%b7-`&EEL`Tuon&hISoVK6NZzZCp!iTVdQRKbss_)5a0`!-c&r^
z(h`r$SzL<;`uo>6Z!K{W17<a2B136w^ZNe&Kpc5a@PX#jHf%VpnR!%a@D!f4;&}|{
zL(VnM9p>Za)8>NeyKJbWWd&%i&Q=`KO{uo^bUoF0$7?(LYEK>e_4=LvlUlxA{s%Ar
zgO{bf`sftVh0EFwVl0n6Qi8p<9W}e4BHoyy0tn^03(8~E;vSeBq<)9)i{Ll*&ra$6
z(j(qupRrT+vAws?*YCBj*!v^j@teAGJa0by-rwe#ItC7Z>wo@QJ%@VgXz!`t_1`P?
zYNc8J`fEE&4T617_quv&w4`hmPE291)5?Z2YjG5%D}g2pZDDpxZmD+Yt=)rp$BP_z
z*~yI>N5RO#Z~oWn*=4_QC*QjF<()ebPo_M)V|r_(c2;-c>~E?thraDDBegdLH#d|(
zDwXA(P1FUOV0ndQLlVXo%Io2#I%n4bDi+Y^;bzKO7eK|-VL)nXUv;k<)k<MOXt*!o
zQ&jb<zC2a77nUi@yEvEU&{wIqD*LLz#@nuRH0ovc=;YBNE8)Yi-Bp&80|Y=-T^s1R
zJd7=Ez0%avv5{rlJkeI+(`8zqWtP33T51}qL1%3<+Rw`J%TQ96KBOMkW3jWfn4Z@d
z&vU#XImaAmW9!8NdOqi8jSI%JzQ$6*8lcio3kmK57>!oo29C7-TMJu7&}+V=0%z<P
zSlU%X$6L)O{E2v5TRh>9M#I5qTYFz$ds{RZjz+sN`V@pU0Ba!#U-xW1$qUDfosB_+
zAz@%W7{(}LOuG|f7{Lr*uQSx!B~h_zoTc90XJSPzjJ>|LD6X_ykFn`6aOHf_w&`yM
zo1bR9RxsN=FwmV1xe`gQCz<N(OeM|E{~Bygajr~nGL^!{=TdBk>}T(>;&L0tHm?LO
zj~qvCIp^${Mn#Am-ozigop8XYu}-=(V8IVznFE;g%DcfsPS{shESa-BG488}|J76D
zhtQWrb{5*6BuAN6n`J2v>mxM;t2d@A$f$;$Of7}8yUA+^`nySB<WnjpeZAO@b*HXF
z9MJ#5TA+W5HTeEs{PehZDAZTl?b@A5E(&7Pff&}Q(qVU?$N#suLvwfK<U2y-`(6wq
zQUs{YHYI`7CW0T&s}07n?1SIPd5%mR6iO0dTazY@e!JOv5w_LJ6`81?o%ju%wd9rZ
zkLy`ldi+Maz&T!^eI!SZCF|<yqK{KKW?v-+Oiom1Br2vnuX{+-eH5)ni}SK^r*(xo
zuif@q`7GoU{I`%qDry5`zr&^FJO7bGmA@1WO#A)Qh|&)%+sEs?qMo|WZSKTuZO=|O
zqFDBZ%tLh_Ms6*Q%sQIxqk5(8qG}laRrH*PmP8vZaedb)ve8ctebHh#^bIn;tmcQ`
za6IL7F-o8ALWOihenC+vtG=MNN6^aTS(pwSjUq}K5#cv5s{9yKvNz+IPzaIPh#9|u
zPpWdy;yWd?Sk3S{uEpF7jggi_7DH@MR#c<|2kSXVhH&^ikg8X6K}Z_B`;;GyjDrMG
z!`OTXqQm}Ej&u5XhY=@?ffBAer2Gd~#(C`)ZtOw!Sg6%mz;12nGmWvJjrsQWfQuf@
zLLn@#zPb#41m^Dyc<&Ab-UqeB=Zh57x>Jcn+Us#+)jfnYAr9M*_$Xyb7>HGh#oI#4
z>QM&IIMsIDm{nK+&~?@3%UEk9gLX(IdqOd_ZUPQ3y);~a)bZTrk3{^pdVRj|DlWdT
zs-pwTr8%*rpfn-@EXRR>DgGQTZ>TjM!w36lF6_0<1^oiPMUK~L$jR~PnqIt}v$bEF
zmZT{v$L1k`p3sfWd`-C9aZe-1+o$EwefQl56g$UUL3<x>l*q^2)3+c76*ES{_XS<{
zeoLb?N0&OJPn`g4STo5`8D;;JH1+7v8$EPq4JTn<nCehU3ajd4_>q0e9?nvhPGfJT
z-7@F%?DE0&zK@f4cX@n~I>%^`N_uQgTRUaXq(4lTd)PmTsc_4b`8fF1AbBqOj~ZQJ
z!wtPU8#uJc$G`+$z08<-$<R}UV~|iZpHfx~1(+S^WMSL1Bm_JZv~VahFd9|Eas$>H
zalNDja^kq#1$fqT;4pT9`TIqfY@`gex*(VrC9^8K)I*F`@N9BP`8i-qC3Qw|T7kh%
z$k@kP;uokfT&;Pq{b|aKqefG>Z<<7cJ6fyXtC_h|_S{vwEE_Q2LZt2SK$}-8;U7Jm
z+hK+kDK(n~ooEjYSTCcf(iYc4F=cp07ot%gvWn93m~tj)U7D;!r&w~7m=&zfA%}g6
zTx;X&vbPo0z|tF*1e>rE3a@kEK_AE1-+Kh+;HqIevJZeYr?Adaa0VP+kNhExa^p|$
z)z*re#yO4#Q)18nVYI9rG0Rax<Og%aWe=w5@mAU%df+T8H+M8Qd)@BfFlPKmhLT=4
zgCO0Wm<L+I9jKi*fDlxt3<O<Hgfx2NPN3|vL}VkUxNd0gzKpoS9FHdH&|&fynJyQC
z$=a*m*DS}HU|E(Q=GjCdycScp!(&Zg*NB5mbTo5VE$nx?0s*hf9dtMXL7&s@cX}~@
zJ1qSxd{{(aMI4iJVj0sN>+*SZm{=r&N1MGLM&og8&)R9){T^^UqjBtVt8q|Jf#zAn
z6#+q}Jja+)O$#bb3CeTat1V|PDJ@NL4AMHKZvqrVV2dCwkNF|htHWui&W*A;&`2Oq
zM793*aNJ%)F`Nc#(+w!bY|ht=<BJc)vGd@69DE8A|Eq{ne>1+L0nJ9uC%5Lc0b`_T
z(xswn?1}XhaHuekJ*ZN(fTqrTF|TJ=5|w;JZIKO{NN>?tyj5+jZ1jrIXeGUxkBUIH
z=BuF#KrXX+(42C&BM|VNy#q5N9kDkAT`qI&T99b)4Ka28Y~Nw$uRiIdlfsV3nXA0s
zRcA&V;gdq4LytopEiGIw4a@x1Q{^S`CyyWUD*ujUUe#E%3s$W<((CNkSF4A-QoVd~
z`M8yLqYp$>RE~~TtS?4cax2C|QnuV@=mu<%oC!2$yAi0$j-V!SmI^91iA)5FC}*Jn
z+}ZoO<cbw1#}lUw77f|bGO+RW>+ChdwvACg^SGT(52lzQ2+U&`+lxg5ivi%g+wF4s
z3<qYPVW}D@b@JljleUkoZBpU!!z)*$HhDH~ywF+%sE=x%%k6YP7i5$?BIj3Rvsj`B
z4;$_P&n>GLlp6fElvj`#jHXzk#gIbHuF^1jHqfBr49F8k3dg6IWGF)@@F<y=_3<96
zMp$-1-3R&_HPPOqOa(m7B@3izNny$DU@(<xsi%%v;heyO>E>oEEyOIWRAU@sJH9q@
z3SwTa;+KCct&M>|Bs&rz0;Q4W=;zUF&R6yOn6G+=YNv5~7-F2Qc2MY66Smr+HG!Q7
zWaedTrj<Qp9Zw(Oyi(1kKneA62c;&|&D*+$Fs0+9Rrb&(YVWb$hcgXlZ9G<>kFA0J
zb2hMeGrumx(P55Fv9D^<wv{nGVs)s>rafu4*doDm@QaO**5hAj1^XV=9h9<cT~}r+
z{4qmlvHBoKJ!NH92C51+B9+Ehs40SznM_74>xi|;P(M~SL#-+jnZOkrZK^-1O(ZgI
z;YJ4?X825`Axw?h;s>U+`bHgc5)P{-zCk@+7>ABV-K(J5TenLXw@qQjUsz5|vH-Z3
z8`T2kGMEW{4LXiFjdg>tGHVGjjjZw#WfM3D6&J}{DA{yW66n{`H`6(-l>x6x=BYi|
zs}gB>H}{1G&9gz3*J}i!W-X7EsEHNaSQ)ChncD&<jOb)@v*2O~OVm(I@mNj~ou`^L
z!}X)iKAYPaPHs8p945~>=g|5hhVwsBUnT7=@oWieUFTP?>xEeHFtBPBr?vL>Hl~lc
zp8pyNgyU=1awcw}(3n2dhB%d9csza^0_sF9u3T{|9lK|(7pwI>YI`89hL*LvLPN7|
z(@u#2duiCsn=#vVAmG6-5IGjpVjo64m0^;x7meLDhG&rj=vVnUR2)8Sx6Sl(9DiN0
ze!ewSQS)Y`>4s9|tM<w`;TT3f|Ed+9Ko8X_I<{M|x{_-}z~%M2`k(=L3)5bg)3xoG
zDt=JZvO$(>O!EXpFP2TO2VacXg}T?{-noJYBa*M-?C@IswcU3}SB@U7AJ;5J^mN1+
zT4o~-O!^gZM(a<i+vjN-lP8nI>TzL(8W4X597eOLWvxtohq|r4!Fqj7YW_V*$Y?Ut
z;U*L7k|QhY9t&kWKDsGtF*?QdG~3;Vk$*keo*cvD*~v-z5O|s+Hqa1x;2DaB;A3CT
z4d58%I2YKX@~<rQ0x(DdJpxJ<u|YXveP|_JQmch18w=Vyl=ZR{2QgK*!E2yo@*ysR
zS<E@^iL#K<9@FQQ=fz@JqTUO`F_s7t9k1$7*asi2&*d<)O0Z;2hs)>e$mKe?uzjMb
zDUk?zv5ab62Cxs|dv?d~0kLKq*=8VgOlz2nzB9`#RBLCA9E-1H9K<sL+F#|sdZ!XI
zw_%#76US6(%RY{D7}CEBuG)@>?nV>nG7W9bx}MA#3bp>SMC2W<pIED!&~Qs>yRM`q
zpe+%Og-u*WpLrn^D$s-8**T$i_DPG{k51{;f96BT0NF&Not@o!XP;z!6_0>_U>5T&
z*F&2+AK#ASx+m0MN-C;84TFbiEw4EqMKhFjqvy!35j(zB+q|`g1Rh7vcYrgHS8@?g
z+|DD|qj(ss6uQ$WSOzSQJPgx!j&9#RI-Y86O^t6}YZz;>{!cU-*nH`wo3U(9C=^)k
zTsP(^1cT!PQVuYw9%eS*!2wU=VzzNzqju}$_|dbiziLUYvZww!zM)p&V&jTSh}}L2
z-?|~cjx{;@preYCTlq8@udf5JZOcEduqxBNu3k<|&bxrRQqd8KN+WiU&l?K+Hr^Tz
z1|4N15{XsI!}7f9C**nGmv5J^!>6O3Equuzk9*f$8S?r9rwzMI#NN*&{C@92(el-=
zesxg}-MwYYmj6?I2JH-4X!-j`Fb|=OuRWcPugYG>FNXHwrF0jdDLGey`g7LA7EP{*
zS2e7fUST!2YI+Aad$u?P6T?hnl@P4vnjgZPl@c;br7bpSIU_(a_|wjaG}a~|&45;v
z_#j>7<!4_1`qz6*H?-4q8X78W<kzQNr<<5%-rc!!i`(OIZ&}&d?Qj_8>8|u=U<4aj
zuGesE$5N{_iC@MikG5lZM4YXU@6}US<-HJe#@&$<BJQ{|SUBGetJ~>0-{m^rgHI*p
z))br`({pxre4Wd+F5Z1M4xEKGIl1-$2;?6lU%ta|{1{#}m$Uk{#t?xe>8)OG)*l(8
zDmfPMXNAdeI^}x{BerJ?<nLu_CZM+X5*VPhY&=J<W{)$#j(uqv+dQr<jaqPkwoPo=
z%7sJfl2)(Lzx*`}^E%}KwXSN#S_eU^U}}IWVvieDr?EQ11g~K8G$bvPdee~JyKmn<
zUeKF{w46l#`+|N9I~B0*_@v4l@n|^v9JjJid(l3X+R3xyYEzp|tn3xqEQcq^t7~iD
z<Y7;r&aV|OUHL{4vkq0%?p-}{2o44eLrw!>w6zoId>mv;_pts1m11h?E>0J=CrmUf
zY_rqZFjE4eV^h!XeLmdW+{t0P_>VugVZ(+$&6sO2vjR(LhGj>pK7FELv6?Lbf8)Ff
z$gg;~bkluJw7@WfVsO<H)dMgc2iNxow&<xA8G9<lA^sB7`n9b&md}k~tQ5{!xMtDO
z$)szm6u?d)GdT9exYnlA&6!MdG!hEshlcukd;5ll@?hW*o;}{BxxRsipzei2u}BWf
z4=_7QfHaobr9MArl;O+c9JJHG!H#1d8d_V`R52vBJsBKo3X!Cz3Td(^9ql$QAOP1^
znOixlS9GM-*tmAUT`2^tg@bJaD_Xf$OzVn)HjXBQQnpb)O^?e_Z<=fz*itrr<DeFG
z;JwgKu~ac8_~8ZWMV(l_m^!N!R9aAPJIYPyLcnJR_{;#G>_ca9^$M)a54->g<WIzs
zw(7~m^;n(8R<vY|eA!&=5FJms`n66+D}Y%tAh=;1KwqS<L19Dgv=C&~Ar-3bvCo|0
zNhUpVE4S4zIM7?Bw9dxe6nGO6Qm&tpr`r$OnO9#t^o(puAhTbojNP83_4I_!WMYPG
zO8wb7kpZsMx=)<L1V8e2d?)vEP~WZiF6dv2=fuAPZ^I*;J3LzA;#tHMro9)z%$4s*
z*+v|aqKil`dqhV)tpNRjBuZfAyHc?bFfMc+P_b$ZANLNa=3oQCk=%`7cDSY0#Nl4W
z{_D5ukXvn%z4~hzv5m5gV)P!(3=;&obEi+?Gl48l5tU0|*bN?UkiNkol%S*F_s3#>
zKe3gFM9jZ3F%ZSZIKpZAq}X%9vfqbQJO4^;*6TB%_<b@Ujga98;>?|^SFg72DZKg{
zwuC*eH?Srs!XaS(x@C2)@knBMX(JSLu-x*t+A9JMmig-C%e>5KyPQ}v<!TlUn<wr1
zM0D=NN}qMPxA)a^j)Y>ZUM@Z5)!P>u4}uC20jxry{Q4Y+o>Or@Nq)V&!EdaG*eL0`
z;t*Qwpp6Oy9W`q3JgeO?bD-;SG8n|;&9Su<11mE{Pn+8w*r#<dhpCB^_3KQ{xjA%g
z*@en>$iu$?UzzUb?B$B)H9cz@2i?;POQ#V?P4NTmLe*#TYW};`J9Lk+o-U(^)>Q0T
zQOk<^&ZsL^G@-JOYd5Gw1Qx!klPWVS2f9UGGu9(WMv#SF|5~EK-W|paW2`>|%}cL3
zrF)fHLkNY`-d;w8u;A><dPQqS1t^CoXYukQvK(FJqlxqohQW0hjz{+IIBS5PMuA4O
zms^h<I7^?o!R>m|<=S!9rxJ6CC-w4cDI<R3s<U<soEW!<&*LW!>^N%`kE@TmOcS@i
z)Y=`7cegf_e@JXnUv<@E{6xJTO4LoEIlMhPLk}jh@o4XL#i7)b_i(NUDmDTIiR?-@
zt=Y7+z{^)^4_5VSmvge?Ec`l<Xx|}cS^Ohc1)AayaC2vWJl@~2W3!#?#HVQ?=pn0S
z(R{PwPSqxqO)2Ovhwn-5lvk`V#SWRQ)&sGQ1B@LF`VKcf-=Wqm=kPRgEMdr%)`|Tr
zI}?|<rD4RuY??*(H4GO_D+Uk<VYNuGheP(56s<o)(jJYG3Z2ea&IZz5EEJ1*vG_|T
z9D+WzrmTU_I|hT^euTZdOqKPN;yR|=3+{zjp@!WqEbZ=bM{j3a+=4GvWOpfA?lh$S
z#|z5{9gFyzy92qdOe&FZo6hTa_f*m$-SN0PGa88a{ccx=@7NS7+p#X-GGZOqE5X`$
zT>pZYMExxdk=Q|m#n2%BfZ5XU$Z!q2bu3$pl@R$vCPkx-HZ3NPayD5|;T_#sE*pav
zLo(r|c$J--YE~(@G!E<Rh_^H+;_;n5YgP|qIUHDPTh|oa#5j(y4ftYxU<bM_8u!kg
zo)HY6dd}N;zR&0P55VW3q!XzWw2HNU@bqJjcs$YEg6tD<bIqEq9M9d$*BS=5&TeBu
zAuw|naeEhWIi?I56+HYYDMxyGobrU7e!tJx?{}Gzf95UvX3{nJdIfxR3U>Lu@D}Lh
z=Z6%<X&Iab5(_FyKq*i}hP9N0UiS!VCgq0__h?e3%0n?D8KaS)(5ud&_Kd6~2DNvV
zs|(O8LxzyZCP?xS`FXxnId|AP>_n!B##$YomQctAmv8H*9L`v4&cC8No0LheV&s{y
zi0*e=V{xMl6o)?=F%hs*qt*#ERVieIn$m6lXaH+U$h9HE6+ZW=kjn^tDFWf=`{Lt>
zTr><f##>v1Ay?kzOtisb%sP5j+@@A#LNl=ANa;jzVn#S5-4Z?_CoHU5r$gA|ZEej)
zb1)Qy76Pr(6%HARl}0G+T<MHTzv;o^o%mV86!^x-2c#%H5kwQ|oFa<HgEbtp*K3!p
z){AYYH~9h)y0k?Uk08nBv)f1wdlYt1`dvJF$aI%s5vPnb_u1C(F4Dpt`{>(QO!;_S
zhPR~7%nW{8kJyn26}{oKv(F4F?(1)-Nv$5FN@b<Pk=Dys4qwZcUE9-kIV?ERS37(^
zJ@RYt{7j+7IoiJHQYqAt+>EJIQf=v*0T#Lu+K^MVu<1{ALfmONGBvGOl%nXyrW!H@
zDxAm|rWLaTNj4lI+fU#d*cet%dpd#$<ZXqWhf?E<Jf%=y-v~!9c5b;S>2yS5&CRLk
z5c*|vBzlGm-*p&u#*^M5GZb{5>WRgYCkFf;|3zz0!4uw|);8}LTe`)a2qMIy9iQlR
zcDfQV*E)Fv-^F)cv$ZvZRqODX41S^~)%s7v{D8v9DST1V;fw~~-I8wdnT}-0;R^j(
z!t07p1)XN-3r!ftA2fYI-zoiw(9QlJ>~w^7#ih?1crfggp+CYxztO*fTbye?s@VPY
zViK0Yd&LJVIYq{oI)bFKR3%v33gf`B&FW}jaZEJ{Y65z#Zb{Bdy5mqaY0#Et-KIWP
zA6BzCEi$lqZjL^>+97lx(p|)lRUfdA`dl7{ng#q$x2C1B4Q)-$k&{h-(3|JS&D5}c
zB;AxqL(ZLy<-GdjO?JmL-SLdi7wd*I4ulFNi&<KO$V`sgXLMNXT~W6aVas8?V<4UB
zG(wSGB;{bR>58D&^snPb(-KlBweBxt4reIb+>*Yc3u{n-=j_r!1c<T22ZmL|U3DK{
zG@&+N^g03ku6`E%z%ANT`+OPwV27B1t;;z&^cfM$dMw(;Gcm7P4ZOg{b_2e#_^cxE
ze3GH)3H*_tDivx7Q?{Tir8Rq1qDxCaHZ<4+IvbaMLUY#iW9^2~>ZHwp_)@ZTwXltP
zP$^<$%gJB2CK3)a>Px4&#)xO6slG0pE$t9l1fOxMAK$HVM;+mi_nuOzlybX=9Kn$L
zPwfWD#rhy1xfUJUl2!o`)<^E4)(yrms_!)WX89M)aYL~M9%e6I{a`v<TLEudBx8xf
zF_g{ua5zzb5DtGV<OpAI%7;GmA$*e5?F?Pb+%u|C3fFcUhEGutUf%>mgRfCy7c_)t
zoo)4-GZFYHZ2vXqNuCSa`!#yK92kYO`-J^LRgO)tE2$AnSR&d>p&S^;?g3MAts8p%
z$++3wZE!Iccr*)^TcLcsE-<+ZAGcH9*KIrEra!qoJ;0S=Fi#mXUC~fLn5E}~<ESq>
zT}Db)J)G5GPe1<ILJ)zrX+T9^E6=vTBl#c4bRyU^1rkz$jcTW~F>}mwjQS3FTxHZy
z?_sQs^E%X<y+T`HIt6aaeuCLj#DpEQuY-GRTg}zQX;M~X99_NIjH4Pbh0n0D)U~y<
z>%KRX2#W*HsCiQ=%x%|_nLIFW`gHeUM?Atbs#$vq)eK)ku*X>0maNko|4ZtGu{K+)
zgB(^;*w&@Nyr3N(PdzVPgC9ra4*jeIH0I;0_3N1v{kezdcPJh(`ubncwv0`nGNVN6
z@z?wm^hA5|)1@r;an|=LJa12gx|A4%C{q0FpNulT`<a0sdk|x<@MEiZ0XCKO9jy^M
zaadrbr=?v8y()pGO{{+$%_EU6;j1hBCTY|d^~um4ujkKZ0$64$yvO5ta>nofk6-QH
zEyt#(3-~hTZuzh$P~97GmmS824NlV&kmKrL;|7;`MfE4Lt@@KyvVC>+N3w%ZsQ##c
z*+%NrPqdBl=gQa9j#bR;Z)7GZ1=YN(D42sik7Ed~LKI5T91KH@G63KKIm|DmyJxm&
z&d^nTY9MkqdA^$d5S}QwqWGFsJ$kObc<tR+s0g+Q>WtA6^~hXU-s*%V;q)a<rw)lz
z0*Sq_sysXR$k$RCaxy(5uWim#2{J^BWJ>m-B}d0Q&1uf&0h4y(n8QrBHL{+@H0Vpk
zY^e64yabPYjWva*?l6zN8Z<iIdd_k>pqiLq?T)#c6A*U|kCGMx(Bl~Yxk7#WR10r%
zdYkK$_fsBl1cT--s1$P;x*X^?U8GBNsIH3;<P+lhcd+>51$jr4VQk!J7){kX0`l^L
z$5W_2jOjw{>N@Ug2|Mud11yGSG`U@O-|ccY8E{vtFrDk-iEHgX{R+khrtk%n$Hb=v
zz6T}AduRngJES~i=zo#6HncnZQPo#7-<ifa-SL$vpdC$of{W-XTO4_49mSnzWwC|M
zLW`Z|X2Wm`Dh=lh8HX}XUC?M4`-;2Z%0XE;60g`w3K}R%kRF1EpUA_g0&&TtjKIuD
zLxd$0nN*M2iZ32XS1{o7d;J0EYM5vn35P<b_u#7<xH-MGf8E&1jy%*yG*%|=J=f)F
z%i?1(ZLLj+BZ{?}Jsvz3$|yar?*xa@+P@ATOhEXm*X(V}<=eM<JkiKD3?GK&_ONq1
zm*{54hDxZ^MW*FDP$YMxDTI~sP$I7v28+Ytg)-{#hfJ60Lzu|vUGZ4DqoZjPmagk*
zmEnErg+6by%kNF#I}jL~SB2rCg(%NH<lodQ<w5iwcUQA)+2ry0@sX{Qxr)X1aH95Z
z<ve0>*v|F7)r{5oPJxUXEEa|eL?u*9Ha3y1e1#^xsH!cf@lz2Q!9sqxMcHL`pe!{j
zw$4E*pK&}M<#LpcXa4ryd-Xz;_!9i2DfdMJ&wyh2+4pG`HJo||F<#U68?GSNqYS!?
z`+sut&0LD|v-lpb`B|Cp-XCp0Xa^V{Y>(dWMcGaIP!(U`_~|I(K+Zu_!f}nF#zCwg
zJP;tXEYq!wC%Q~59okxQSm}<qYHN{8?N4n9s_9~2;hIB}S7Whlc+@o4o^G7Sk)if0
z)grB_ba$Dqd`%yRH<2BA4vLwwMh*`BP8x#i8rDY5G_L0elCUBJ%aeA3>m%0A>X@lH
z$ZkCbt#LR(`Hk2O-N=;NM_CUQ9qnisgw<~2bIJ6)V;Oor8q%JovZ)-C4I6u`2iPjx
z*qXH)K~F!OJ0h}_mQ1-dVGA#im~ho>wI+-zZ-Vr>2=XVF=V+z2O|<8XS~?gKB`FXB
zUd0pUsP;}-3x_C1XN3+$VWZ(b+=XZI*x>-Da3DVz&UCIQujtH##tdWq`km@q7Nr&Z
zj0+6(j&esbY2Hwe2&$*j0iO?_C{o*<#>#<#m4@CHdN92d0mVJ*&a*#^ao#$$oNgOG
zwH1xEjmsmf8-lM8#}f&D{fXPYL41R?Wl(Rm4x-|bGw`sVP7kDn{?N$1iK3ceLX?3i
z(_y#F>a|?bU1O1=fk@;=p_Q^h3h=lxSRGmx?JE=!gZA0cgx$tE1a}5z<&rM8boJnA
z3?pck2~MaLG<GiShoO!&WoIX+@B(yEzKa=7H1=Xm8@liC>kcPk9368CsL$Ho5KSPg
z4nER|Fhsg$hz*-pQqhDchck-}uZiG@9R`J+Wnom+GAPm!KK8J$k;0XywxNfpUL!N8
z7NmVxeT<8F5}{LyQytn}8f&bq-$Qzc8pj0>=J(RpKzbw~HOMCID%zesd`%Vtn}6x9
zh7T|6_NyVhI^}SL0uhfJD=Rd9Z23(N$5gFkv+8!k^hW%_J7(E7vp_rg=^P3ZLF^}D
z6oE|YOF*vjFUx(bc(o9zb?v&`TcyW)xfrnysnVl_b|1FATO2NgFBmoeVjZ$T8uO=C
zmW-o9tng9;odhhoNDN3#eL-YSktC39Qy=DdC_1jrMYQf^lU+j~IcLD=b#&QGDho!N
zGgI}caDKEy`4t<U5zL3Yi{G!Gm0yEyxyQ0SX@8|4vT5tsX?qWeuS`ph7#@1gzQ&L;
zJ8iiDwP^$uYy>GN1IjeF_jN<nvI23Rea_ye@uZ#Rkl0+xz$juUw02Vx@hnbHF9WxG
zGYN+$b>^l`XQoVNva^>#-Mt<sLTHkk*3u45vt^fgt}_Ym_|c!E3A{SZOxB)}KZEyo
zCJ}WWNO>?x$C1qCk`7GH@uUKXM^AR9JdVVfxzjPz89`jDNmkagr{~UO8IR{#w2_|I
zKwn7^F-zO<72wMmvmA%6tp?51$W{rOm-YDx%MC=HLaw4&<<JlsOvxM*+=pR)npVMe
z(n}1wrRLqzqfcUS<NM+c=Os?Z13f)Gp)uA?eIHPfoktyR?2Wcx(jNV}O@njew(fFx
zLf+GcpVQe|DwWte)qQpkkcyL(nlQEeN*Er6Dpgx#DGOzUV6sQ+%@NY1ZQ8$c2KAOK
zR;WK0UuqP(ACfHfXWyxtg0Rr5O@${Cm;NeEojED~iznQsNiDF>xxhITit$xT%KFB5
z!V&E;n_xMUS7O;6b2!M4*=~vOjOva0BW8-B&agMC`pSH6oh&OxG|O+X?n8}ry|Jb0
zG8dK~_WQ^2!OBb2!Lkt@il5D`gFqxs`DNERdYo%{0XK@bDY@K(QP@+#2rSWhIET{1
zFXUeQ7}F9-jjj$%!p{M3hf+?+R3$$Ib2y*s^HDQ_V&e8aM<i(R3~tM{DI;*rv8?bm
zE-Pbf9i+f09`$q?3rF()CXap&PQ^OErVjve)}^N8=hZi?b=)V${h)dv)-$RltsSLJ
zPHabS$7ws0!IOz|RD(kv6w?XId_9hDw!YOg66=6>8iMN*hItKRyRV7VKSx_nVI7Gh
z=vUS6n!bcFp<8gmNchY*y4`PVw9BmeS|jNy!nIaYj<e-P@D+Eeql!p@0Jf&G#8Gb-
z!}FGkF1_HXGTfkxrVI5_)>Fq@-edNEERQprW@|nkwC_>Y=7Y2?QpKRRK~ZMC?!9yi
zutjytYF5Zzty~CPbLn_}Ju<&s1O2Bfd>B2ywzy{pgCaP*QD^#WZS5&itnb(deU@*V
z;~wl;7GD@o{x$fu3*VJ<L((NgE5>;Q<FZQlCWsbx>FiJ!R1ZdfLR)Y-;tn^Q4-WXc
zA>Guf8&p01`26$F-}&i(+_r7oJJ$|A@kI4uz=Q96=Q~dwlTW<(;)|x=Z@%dFO`3s9
zz?}5?<?f5|Ydr(M+rIX-!Wn1uY26n?g(4h&$me?~90vJOp1>JbhQF&BB|8)Iuo+E3
zg}p8l*ponNN1ey6<6V~Pr6qd4$ZF7F=#-ibX(Lj_Br2{tL7Bl+bw&p&*0f$7oxOLt
zMIs=2)yQ{~TKCqYm-ZWHE;Dv^Dp9j=8kNPV`XU$gQ~?HbO|X+CEB*`p8uC`hs@oBp
z)PiZo9CdC#c<Z4WWut}&b`Oy;#cg$}%p%wQ<JuVe^m0Qr9CBG|@z*L?ALEkc*DW_V
z!$BKMPL`p2oh2^d+NvskMq4RlqT27u&}MCqDnWu~)PJafay{x;8_E%T)dSwoC(yVK
z3~F#>Hp>s$x}k{ZSqWM_qc=B~hlwVm_(Cs)D}1=ILNLUYV(~@cW-PA8@Gscj%^uGt
zDyZua353tZ2MaNJdebR<cNx>GQe)S^r2Smv*?r&q<~I}G7FWO@`}deX;A-*3sNBX}
zfpBKk>d~%LG7xMHnPxDMT-n>((H>#`d_|<)=i5Y$c3plI?lH|!EAB~kjjmpm2?t#G
za(1<V$n?y(j11%RsQeOr%;y<~-J*33>aQmuy7Udeq1K};LI-EkMlj{8QfLw3O;wg5
zylToQ<gxAwwV_!D7yx|Q-~?2{>PW+<1(h7nzf7$lLj@soPYc|juF>I*m^%6BqnJRs
zad^}vqmh<-^!496aNt0s`m=~^^Tw;cuy7++E9B_$+YB@7laXjkz<=AcVQ><rVNBoV
z4=`&Ck>XX=UHI$}r$RMWo;-u!eA$b-GlKql@fOq`%?vK37k~swD7Aw8OPO70e(0to
z3^qKSs?gu@kw9`c5*3k>Wmi#1;cUY$Xs}(qbi69J3an_Q@!%HaLUEAzNNPX6{`%{o
zH@YK1BN82qhXT>TQNMf8(`MiceiBP_1%vTh#z#jCN4nT-82P>v?gh!nQQ$_N(9)tv
zruu|Ji#H)x#JxX71Y3+Cr<HQ+3M4L!_z();6NtvcJ$X-{8+0q1`!4KEhtlz2&=?sV
zk4E45zCiGVzPwSLBDr)94>w|r7?e?+Z49<Lb@*8@ni&zmNHMi|Qcq5+Fc9nz2tX#4
z`79>!5i#1_(Y=ufBQphoD2aigH}p-7d=636F*Wp}%=YwTrQR|C%3ttjv)BYlMCf-2
z+fd;fX&(Rev(G+@-n1|7ZFSaqk~i^9*|#E@NF-P2?QYDO94B>juCOCNR&?@scDZhX
z`CY$)ui6b-38=4ZzX@77_z7qq{024QPEAun_5W{k*ZSSYb=)z#z%HH(fDeG;Lxf22
zAz9%2At{n=Igw2(uA^ACW4pE`5Ll8hK>)^rl&G|c6Wd9g)Tx@*ZInl=G_B(_O{2JN
z;-+cpG<~FPn)>9V=cFg6{gOYRuhX7<Dc#@PyNd@2(j?5JAr7(k?!DN@+?lyEbLY<3
zq{8fmEzkU-HnA{pFefs}aDP6&A+^9d77hl(UGn>4H@s{ku`m`rTKtdCUg*Wvr2dm9
z`$GphdN0gA?r#YOL*ZB?s(HI({`R9s+x@ZbooMJ%?T%Eh+R+vaX__8t|Liq5*mSZ1
zvNIA<u6?!*xq7uwu&o0N7yXLTA5}J9YD84Lhv!wyTQ{H!ztfH>!!|`8SerT=+L6gd
zrSm8oEriy`v<4fEbZ!^Ai_l|4i4{cP(zrfQ#gjUU0yvo{#q15@1+ku2Cj;ak_aAAe
zU?56k(Lj*ekNC#|6qv+LRt&fN@=y$v6pQ>1yvtf82j2LeLr%UI#8MJ#dEo?M1-<B2
zhP=jO4;+kkU%?e|<tyFMgAY7rc!v~sQK~-jo9So^)4hZp?owgEJk4SY(~*#!y^yPf
z1@aK=1cx{s9s7-7W;!&DBfvthZCql@8i#VB*T(3YtkR9KF+PbSuIH)CZ9b2PG#`RZ
z4XCFJj0FdmNXaPJH-s-1lf;K*a!BQD;hn%DlISQL{FvuCSSyKkwl0b`Tg7XlXp1Uy
zd&up$7~9V)8u&{cZJ{oBj)x9AxzYJJHvCbJQ;LN>P3-)~Zd&ZYrLK5?>)7$RlPBO3
z1}Z;!Vs7rlNiL6iqH7X{@|z89mHPQg31@Hf8valWJA#JCojmG%3=bhr6*fley3X@8
zY5u6uQkzR%md{QNbbh?{+N>>B>WNATXKU6PSm)#T`OU|Bj|mlt2Ve$M4-bwQ0MsyB
z0Hk6ioGtatO=NU<J_QRPLwc`D(r%;YzX&(yKu2$HJOJl(UnJ_=wH~#*`1!G5KrVv^
zun4jVp63wp{r#Yh?IUYN1!RPbQNdNlM0^CNmQ0tWK7s$ULpE|wgEyfA_>$n=LIY=H
z1}g%?cI3o12dVd9Vweku0<A5boh_|?1FN`!uI@mj<vMUBz%GcF3{4I7`Vhwvi3ofL
z;bv-F3aOgGtJ9pTV6Up%8bTBx^af%32FGzU6!;*AuHs?}V*eV3mSBHN?BvJ&fyI6e
zo6r*c<yKUQ)XY07yoho54&d-J&H8J20C<VFfcMZ0W&i*br^J>P+f)s71;+>EXD8pN
z!(MTkT(xT-*I{B7=H<As6j#fyZrgBTbhM|tyJvLtM7301tgDvlR;RA>)?i`KZg{t?
zHv`Olbuj0A+!tJzunvBe_ZID7M^SCgZR5CL7WPslI6Y%K5MLf(IpvxyqYu@NOgnxD
z9s(94=!E$VWHJoQ&?Klx{EP{vG58ziK)A$G82|r39%9NXToY!*rxLZ&OtK>u>qyG)
zYqgTdQ#3R@48IBS-H^#_pDID97kp<i1@oPY&U4(@_8#ZAd#o)qagXbwh)N>t%8t=a
z4uLdiO=H6>&!Dyufq_|(`oO7S>H|3KMw?$Z;OYC26Xh#@T~|W~c-Q-ZkcxS(Z+N(G
z&`w2R^O#p9<qLMRmwYJiRS_$)8><!3ZokKa<eguV7n0xg^I|=I-zFr(M*+iUT^|QO
z7vXPp+t_PEQ0VOa5Cw!}VoS^bngg~tni!iQ5%E4xAumn}*CNPDlQ<)k_wja)+74V7
zL%_O+)I4?xZC91-tEKJHZsR3JHLrJ=HK$AXN6;{F=B1lAZ#u3ol|sjk!_b)XHzYP8
zzp^;Ue~jk{sb`1UbB=Z5Q2o$s;`eU~w>>i~vs96tISIydm(bp8RLsYLX?kmK@8Do>
zZ!6-Ag^x{49Q*E$P;JOZs(id!no>XtSk{1J1qee41Txzr_x|#S?O-Sq-2j2v+As^0
zZjTQ#C#h6<<)kr--ab<WHH6`NYGqn`VMD%t^YAMR<EU*KWdotG64sss7`Nc!)2^>I
zEqiQ(i<}w}8YHqZ2yS3YgxDTBhMaNo4>MmyLjqI*Wf;1e_|f?I{*1>nya7c++#raI
zu-K>`cq)crDu&%mQ*Uf))I3h3=24p;uXkWOsaxat{<x<?Zc?=F_I5>SZ|{auhU!kO
zm2v!*s~ZvOGOka$z6U-pCPiTwW1&I=%r$IS0xC0)a0Y^zHQP-1Gd0B8jbz>q>yE|c
z;HWc<{c>6rf(u^-Ql>qIF(?826TS}=08GdHHz~$lUR>UY$6X}&<mNs82;=)NNC`n<
zBdBTKfL|vM#}3i8`%d3$E2%XKD-u$NLI<eg4+g)mbF;iLN@+v51%sJa7$GAZhW2T-
zZY1kR`NmF-bcY*8<w!?7tZ9C>5t85A7BZ9v5U{!Cd1QHJ)Z<RhIzDB5q+^=af(XzX
zKaiZS$_aCO!-9Goso;dnEq4zrL(lFvZ3~qd+J(lNobb+@kvaz^qPSS8nqlk$O4xmX
zFnnfz$n=9Skf~A4IAg$o0lT9Sar5`PVaSLWfuLK}MOzd?y8+{!yLsaL0$=xxp+@=0
zck@K}-W?chHkufGx2TF9_FcEYegQebn)JcnZho>Y+zeQrlY~mgb5q>IHgVgi%i|&%
z0rmF%f%*?PSey4@9jx&1VUUGRc0qf@>wN@SaGD46XCP0x5ea1sLD#UFdCM)TM@P}`
zc00u}kJoO7FZ1g^e*G22OW(%Y=qM!Ii->OeG1upq?}5SawgsM{VQ&+2i}a!tVkwvy
ze`FaLi6$XKVdh~@1*XIwly&<;vOmBq)QDLRR;U0^#%We2rr84@HX;0I7D56*FRVfW
z<p(h?xK^A7Ww0&unZVu=e86Yv3t=RH2pgg9o)*8N>w%3MXD;0Tc17_hx6RGXPV4%S
zXp2`r;t$+PA3z01+3r?vo4f0{Y|r|F*re?Db#?Xi^%)cz>^~ge`0rFI<<~T|M@6VR
zRXgrhJutg{(=I7mwQ=J=`TpIl;{N<N^s*7=V?fsxe@jny==7}t{}J8W5<Q}8GqZDZ
zx8d=Wx8Hx^%v<C^H0!OA;Y#ykK?Bdy)#dZ+?qJ9l?>{^^*we$$;!hz!k4JSM*D$AQ
z>dUJ8gh!MPDw^h-=f;hNy1N_UO|<kFxY#F}wMnULsS`eT!t8_r#7t#JW5h5D>k~)@
zYWSvpJfk(}7w2IdteFkjdbNA^fx8utM~M!4c)P1kU|W6IMD5nQ!1g_Z(HnLvX8$gI
zbECd_`r;|Au@19?H2Q9jr_V!BCc6eah@XhnD^>Ljc0$o4H0;p!r9hxMP4Tn^SyC4^
zm8Y;?(+$78`&^dm!>(_-ehj`B1Iw=$Duh5CXF9VjDgdI+RqlwHM92S-s<Ff&xEnWB
zNJnoQKQsv0aSFK?M4GRmDK^B)k0kn`A)&}hHI|8$WfhPtODlVpMV<8Rd;XyU>CqF!
zo`6%Q?z!jGsYAMkd}2y$dg|=isp;5X-aC6djHm*U$k{vR=kGiliJ%fbK6~$fgj-rz
z_B4!0o8eQCAPPe0k6<tlXu9H4D1=yY+=}Qi;j51L;^<?nqkXzwc-e#ede!YVAb{RJ
zh)^4YgSSH<#jd*3vUZwc%E;(Byn%Z0)M-UIed;1YZo2Ot9Z@!Zh`?8&aBC|z;()vr
z&Pszb{1=381`MR&Kpx#_ZRHGBL3gd9$9R;h7hU!y_SEY!N3mA;5F%Ya2fP~;_ycAO
z%LR+E!WX3m8#H*Tv<bA^!G6@hDijxjb^Uq(Od-4|kDCdk<C1iPVZ^1^94VA~d#BwY
zzaxP1X!%3#X#}F!o=k5_UC=QYJyox9N0b9fiw8mRR8I?vj{C~1j)-~d_;_c~m<oog
z(xnlaGJ>7s<F{7z?`r9Mtuk7-^zz!kzyROC=R@q90|SmOxfTAGU`K_WX?yqsfJ}|M
zgTL?(f>>$02nc>4rJaEpHh&1uflcy`x|iV?XaN)QpSo-A6f&~8TL#`>ILeTDY9t`i
zIrE<og@gq3mR*fUyz3}W(7f4+=f$I4@$E+>%|Z|aBd@0-7-6R?%Sf9AqmBRCW{4zj
zc7Zn!BdYcN$Wr?Rd@m56WPq1`F&aFJRpv5w!e9o>sLPbY6a+F67S;wEb5t;2z5=f|
za%mRB%ZgwuK8;`Fx40J0)>*xAmJN-37rwu6<`DWMm)hyk8X93G&8CrBDtfevvenY1
z2-aFc!FX?PhgdI*-eh|q|93$dG_ax{3Wd9BZQv1yVCsiW1Ia*t6s9QVP~o6WGPPuN
zCvD@RN{9VW6vXaQ?3W}N+6#{{x2-W;Y|!9Gsim;3_L+-_EVIvgL<3%?@p!$7wavy>
zu1%K07n@$#+}T!Gzo5Cr#`Ox~b^dG9Ftqc|iTT7SLjts|9c<FTPSEKIrYQc{#DZ+3
z{VaJnf2@)@Wj>BgPK`JC%@EQ{Rl3<D(r7KZ!3?!$RS!`Gzymo46;?2~*xm)RlLr$x
z>`t2MMvO{f3xkweJ%{MoY#&26MeAz!>z}EgnVMbb=;U3v*wBPO_=o%b@DUFnQx?bJ
zR`G<I3ayiKW#QQ%Kg+XFbNH;RYFbe9o|Cht{N7}O-=tH#;`%ol{C~iSsoL?~f)kDL
zsO~qQQs&PRxArWa{<LhYP2rY<Zw_v~t7(~b*Y=2`P2gQEHsX;XqI=K2Nnuv{1E`p*
zldhY{A^&~XzXLa``RaJYIp5+;Tv}Y~4Y?DTdWSHp@`vYRhk<}EwND6_N&McnjKCs{
z(0^4P!+m*GaBsiCoL}d#Bzd3X>0vL|;--_}Q?YtEK?vv&1vD1#q^X1-94h({T^LL{
zb1ff{r=&G%Y_+FOk9t+@mPQ=Q;Z8eoEDiQxhwW)}rC!j!v00dy_pnO|EKqTTFT~N~
z4jV0PaGrJK5<d1FMEp5@_}Es1bek`5;A!S;Z^+FWV3i(VJ}7yj9=NAgNN=kXHlB$h
zPk|>KZh6>HIy~V>i>SA6mL<+X25efEh>IA4VuOLSoH4dx!rSa6wGT7X(~!*r{{+of
zg;8l_q^}S8Q6Z02N2=Lb<|IbKs|SuAKoGgk14pm!G+k_(FU}!v2BLd37gMD%>;%dE
zta9+JWAIbp#+%0Hfj7lf>wT=wVTJ4$_jmk$^49pRgP`u4C4LjEzbfqTb?W90cKFS(
zeT=gR>?dt(<tuO6`*JHVH*uBbwUbS-tm7+NbQ9svU)jSq$Jw=-^UfLA3ZzEN*Hv|^
zsg`zdu(`G)uWf8^Zs;>(dtWz_#;djo>HnAl{(MCEDK+JHI#ltwgM9(h5}S}`X4~44
zy+E3Qr#VrBG-}kDBp^6Beczzx?k)TeIX-wX#Vhl1$cY;px3F+sYlnDs=jO(s-ri>T
zA;<2qB(rP4F;zHG<0#UQBx=3=61(VAD?bdlZpTi8dDj)txiGY`A&&)AHn4IT;y|rK
z#~zJGY<Z}W6P*p{ELY0iglvzZYi!p!HZ^sOj|Za_84QV)uT>2~)zTKz(2Krky@0pI
zU=YJ#ACIoBtuY+0$0>H53u`@tRjD+IRjns>X#w&h%uK}~^awoFoZD0iwYk`0$UVpT
z8W%WU<E*`FyUrTdHv}}_ZbvWl12hS18p~y{?BO#jjo<>XL$e|^iPMAacI~>{gMjX$
z$`o+33n@}2ssVK%+}<*9bGtWwsscUXo)JVSFX4VVdWiGVjNHLNI2;o;aPg^{GFq^+
z^uY0V)(ZTQSF2-JEj<ax3M14eoh`!gj>s7vemckrc8*e=@6^sZ|9N=&exvDmN&=rT
zaz<D<r6m(KnmA-&{Qay-a@+1YfU61&JwH*Gr)~EmJp86aJM86YfBoyqEzp;TL>x_K
zLEEhHVr{pw#>>$Fp>;y@<YnMEd&KwCjE*D=Z@V6b8LZH$U}M*F&%tv<=`6rB7QX(r
z*t93K_Mn&AvTzA|nVq$sk1K}Z&wmOSt>1k&FYA0N??<fi*z+6D)5OMiX(AU;qYwCk
zSB_)f=O#UZ=X*rqXiipYFuljO3IS}X1oeZgfvbD93hun{G*;{EziT7Q_RCA>Yojo2
zfz`c$)ccx+6#xS`z-poa1DL@{ubG)yj?}$%U1?vvXuf=Ke7yG{+&jE2eS?F2aOlvL
zgGcvGbichvReO5+y;yhkhQnSgvwHh`zPKkx8dr=AnH2$0?{xjhE@KxY>LM%>XiP`c
zbXitihtML+?wURxMD+TEeO_~QATE#W<42Ulyj>2s;;!%5<%p{lYf-XKR9s(mksF@t
zt|{eP*d@(nLX5)ywabdjpjEr9y6&J!yX>y%<8ft_ar?aH8l%tKWxwko`e(ZwaE&N0
z*yV_8ke;^7QNI42g?u@2=CWxOR?Ngq;?9z3ChjvAS97V-4o%6Kk?E0%?fdah?TgOv
zC6jj7`<KkbWpjSWN~{#Da-vu$@{JPNbRnOx%yJ@?&m_u)LT))*9(m9#Sy`N)ot+#R
z8$ZEO%BK^<bq}>ByPQmj$2qc8E*GtnqoWJBdrH32NV>4{)<SW;lwDjZCx+8U615kA
z&{4opm0byJO}~s(uomhoI3@t%1X@cdbL~ESFJhBp4#6W!P5vs0YmQ*U(+JR}nd>>v
zTK}Xom8VQ@y6XL4ApGq7Uh|kLER<L9ewKLOB1*-|8ztZ@nHI1}pxqQbSS`umH)WhJ
z;LVrOr;Mk65bY)O%G&*B;rud*^J5U=PT>6}ah$+0fu&dHnYY4st?nu((Yp$rBY5&M
zK1JN+BwXD_AsEVWO4W_hh<N4|5EZ}6I-V+vQR3h7z0(Nz$z#}fgh6%e!-K!qe~5S<
zjsCt5W}uKtZe)`UfmS@o!J?Cwe1uKz$lMkp12HMET^(`l`U$zjs0}${VuT1tgxIRo
zMcvdx2dS45bcp(>pAORi4bl(|(-AsKx6m<4(g=+ry5~4e&?HUKG|kW~9j6m?lHNk6
z=rr9*x6$o%hVG!Z(%a}P-AQ-R9NkUl=<Re5{T$s(@1XPaPP&gS(EaoPJxK4Ohv;E?
zgnphLrN`)Tx=5EOMe~%V44Je*i?l>pdV-cIM=O-40wQEQNhPwVOslj;m+1<v(^X{M
z{RJeCdk?)AF`3>+@298f8G4pJKp&(J(R1`+`Uw3JJx?E{Uq%GdU!jlDuhOs43-s&s
z8}xCyPM@Gp(x>Rt^qcfs*sJ{+`fd6w{SN&uy-1&<m+15Kd-MhReflE(0euPa5xz_>
z(;w0w(I3-S=&SS!{Rw@I{*=B>e@5S+KSz#{Z_;1Tw-Bf9ujsGoZ|K|fxAb@P_w*h5
z2l_7kW5B$U&ZSmTWv~l<DP=8{Q;UI2AqUoyw6cr&M)39JOv_4^mr{And~!9Fvx18y
zGgUTA;#@QE3M~|J8T>w-D_CYm%NNQSbHTG@rb=bERZf-MtCm^vpf$a0l+1KFm0!%6
z$z0YdyBBh)Melr}u)LBgEqk&nsYNqXH1o-FA!*^^N@g&fEv3=>3U_cS=_ND09JX7Y
zTs19zf7M(!efUpWIRGM*PUXye25`uv)-4^(aK+4*HTk3g`+*C%l`p-7=S<G0N?yB@
z<>QA=E~Rn{o}9T-$OqCTGm|YR)2UL%kKUPNrj%VXBLHD0SuAAp<)q-U;hGaUbD<on
zsjn7mTQh~rd3PGzIk1o`6pQQ0Ox9Y~<Qsd<{F;fgrl**)%BC;J419hyH}9S|b2;x)
z!766Usa!zzP8M^kmL@^rUr43#`YYL-DT@mw+{Y`<u9!>SWpjPLfXDYbunE{8Eap<{
zLHl|u+5D>IR0N=-7T(!R;$kcIpfEV`a8}g*4FF@7ll)TQx-+ZAmb$utl6yfsAHIMB
zdDHThmsVHit>kJkV3+tps<oPTuM`UT`g<@~{q|F53T5y7YBrb2<`=zu(PS~R;1h+*
z1&ov^fk4b$Shf}}n<X(^vPocDKr~%N=zg;#Pp4Kh*@7&tWiw_$UNK$Bm>7x$6GNR}
z3=~u757?*jrnazJo-gEldGoR*PWySBBo_L3jKy0=C2;_Uij1tdMzApd1c)KISSqX*
z4ZE_M7u5i02qRg}rkB^5aPp?HR9G!70<$fFn7&HY5J)zkN-rlDn4-8U5zk6zEvrzn
z0-{GQdsU(@aMmh<6oXal#H-7S2?X+&%tc(t1kP89h_TFY&?YHxq*@iUS*;4BQCCt$
zeFdBb6z!00F$G58;G9)16oV|UByEAk$BzJ1TQ)-u1tgh3gQ-lW#4L;1M5V&C=v<1~
zi#MAA4QCcj9R+R-U(V)%NXeDdmF!CPs#&RL^P+Cp?YMNgP%?d1zHk}bXxa3YOW+^4
zMqU#bV)@d!Y*7%7b3;Z@r_31Xyr39qpN*cYMRn0!34(u^>&f{nP+~k><$g9lTM{pp
zwU!D+Kj4P9TxQg;i+Lt}`+PCQ_Y_^g@yxt^x&)v&tYBd^mkZiV4AfY*!c~Tl#Op3g
zt^oF1T9?I4_UhI3py;)L5neJg@+X3ENa%~k#S%b~HhoSdZ&XUSaK@~u&YP)~wrVR^
zlh$QSFp=s>F*R5<C%`4ZMPt<-@<g(XImCVoJVG86QC}DBHP<N@@{6lxym}pZg4q_X
z-@fHM1EuEKxhmgr8Kff{xRk8El&EsQq<9Gl#$0N3aY;f>6h;52xSOoY``7lU-Wi-Z
zIS)p%EPqhK><tu1VkWcX$XF?0bZI>#uE!OA>)N5^r;AkPEC8ug01?UVtEFNoYuWQb
KISZn8x&9A2X%@x+

literal 0
HcmV?d00001

diff --git a/docs/deps/font-awesome-6.5.2/webfonts/fa-regular-400.woff2 b/docs/deps/font-awesome-6.5.2/webfonts/fa-regular-400.woff2
new file mode 100644
index 0000000000000000000000000000000000000000..18400d7fad27fc52cfbabbda495b871bd912d045
GIT binary patch
literal 25392
zcmV)yK$5?APew8T0RR910Anx!3IG5A0RDjh0Al0=1qA>A00000000000000000000
z00001HUcCBAO>IqhEM>n0Lp{92+M;i1&9R)AO%2wWkK|$7WWWQQR`t5sYyKms%n`K
zZ?75<zx?*cU;q5~7lCmTAL~5dJUmbLR_9hY^E10?Ijm{`zs)qHf&Ws@N`502gosP8
z?SK*w0m0HI19~3n{R97OlIi0~rYBSq9bCng<PW$a-`)Fg`ZlwUwFYUWwWN{5j%7>1
zKCeLv{I)4^{$Y-|<=o3Z;3BxhK5}zh1Rrq`QsP6G?f;*aX@Bo4c!lp3zXml{tE)AV
zMpY_xm!uiVJ>x--WA}_nhS+joGiEI~83#M;u$(1Q*k`|UGE3Y6|72N9tOcUd|KZgB
z=MG9E%?K<@ro@gNOAbpWrNn8wkR|AD3JcVeM_r(HA5lJcKjsnl_ftRT5%&?17amOK
z`<!1OxDo~M6Hwq1_F49QTB}Y~wO5@0hq*It1QUUF0{{P)rrha`m!I}7N;^EAz|dtW
z%<s(zye|pN>@H~4_9#_aSFJK~s|}^F%&gqn?2<K0>Bu>}Hx^_7ld#ZWnqU$FV65Iu
z`}{AJtImRTLi<vfLP*1@eAUKlVRX;H=n+N_L1O@}(F2?qaQF4=p2qad02qK=F3431
z<SO-ro*}*f2pG~J_Y{T0^MoZ=3UW^fX`Nx=^cT|O_s%iD|KqH4&o<UP*Ek!am9t)@
zfrW_Pr-jUw+<ogP21#Jr<~7EwYWv4>D5y-!WOc+0>RSDxZXI<B5EA?`W?%Q`$g}0d
zCj#|HP}k7l*FT)me&C7o?^DVC13>4WrhNVBkNEPz@{`#!;u~m2a_}I&QGSxFRz6rh
zm^~w}@)!L{=uJOqy2o`I&oas**T)ayg&K%;aU3h%`?}8%PbJe(m*ry7>Lq4z&(`&N
zwU=c*I^r8vmGWMSMe$y=5j9kaUZScJH4(M);po*GRYLi2RLh5=T0RoB@-eqo=|k^Y
z%cHI}YVn!Y|CJ#AK-9{IXxwz^-ZW#$C)*Y`c`q%e^U6mzey=MZ$-=73hhQHqPceOj
ztZG2?`ZMz7__4khR?Ek;TKP~KzkEF0p{uWzkLFifKDasQQ}vmw_dOiHH?7fIKAP3y
zQtrvBNTr`jH7panD6jkC<ztbr8z17$c=(<4wsdpb^dV@qK67i!^5yrYUTtZl-a4XP
zYh`#=*Kixc>1J!m_?~IwE7v<)rIYZ+-ty6W#-p!l%SZCaR?BAD9F(Q%>-6Eod-uu*
z!xp55c0$9iuNn}GdeouI-_|@`-N*~N)VVh7e_31K+)8{WX!0HHx{Wi(ZigIp#8Jl_
zcfv`hoOZ@p=bU%JMVDN5#Z}k4!HsTmvs=8&`#VQ>-qZPb_Zz#v-~CAUqq)3KJ|dr!
z@6Pw+d-Hwy{`^3GEPr?Yp8Rt~Lvc+}DO!pt#j;{Wv9;J%Y%h9>qs7a{4I4LnT-Ufw
ze|*{>A5V3uAvLC^)ISYOgVNA6ER9GVsVhxP3)8Z+JgrE((%!T$ok*wB`E)T|N!O>_
zQY}3_JtI9cJu5vsy)?Z%y&}CXy)nHx^{~#KvFGh``^LVtpKQQ>w?FJp`(L6-42dmq
zB%vghB$7(fOGe2hrKPNtlZsMRYDyhxENx`0OqJ;}Q|8JRxgb~MzC4ge@=89+cljZ|
z<hMrA3R+RCXmzcrjkJmO*8VzB2k9uCq?2`uPSu$@M;Gf}-KPiipdQl0dPI-vaXqQ0
z^rqg{$ND7@8b}{#6j&3u;YIh-cm=&;UJ0+1SH>&nHTH&hTfB$fTR*d(!_VuN@ay{R
z{DJ;tf3d&D-|g@BkNYS6^T8mHf>dNAJB4XMOIp#IHngQ3J^En6-FLkQHpr~DXY9HA
z`*{EHqpC=CsUwY~wTv<6%y=LtE-3fpYHJhiq5XBheeZts2|cCPAFBF~HNYR{&-GXP
zyZ);Op9h}>9|i9P@9>f!>87N)AbM7ao&_L!Qu<ek9y@xh=uylc^WD^#*SQ?TTsPOu
z6?55~GpEfllV^^A+2xDgWHx|VYbKcSrbm2Td((n0zlo_2rmVlQxG7erQ!^P%0uvuh
z923jL1QW%Cx#dN=55Ya|ZgDrd%fkjf*PZT;0e2L*z1)1@<_0&ro6XJYCIUAe<<k+t
zjnLwQIM2a(3eFR79-Fhwc>vC3a85b9oMp~Hr;-yI?OwD65UqPOJv`fTrsZ_Ysg{#1
z+i0n;{DN}{EBh+zEAuO}E0ZdtE5j;-D}5@hmCDLTUKVovVt>YE9og7S)|R!#f8yTw
zNBk|TkNe|y@vm%VHaDA_P0S`|ljFnji}+dG9lwch#Qkx99L$=t#yA>>V?(Tqm&TT?
zZ`K+gjpr`dPT{S@lZn5@2Z=w$--3r?zizxbUQV2j(=j{-Gtu$Xcq*}s*dM)B9lN6g
zu`rgnb^nTSOtFF(ALHZm2ghhX^CjYTG2M&(xU***je|sgXphlxEm061s9*OOP7Jjb
z#b9EIpDjL5IiBFOvp!2S6OBYYk)^he$BfNR?RSCta@S|*8z!1)v^Lw*AyfBz`F}}$
z^wm#)0}M3CU_%Tw%y1)&G)kLx9XfUCmMe@l##rNwH^D@cOf}7Pv&=Tnd<!hL#8S(x
zu*y1{Y_`pIJM`FPkA3z#;Gj8L&uQ=X`c}88d5Wibw&!@E7ki19dbwA4rB`{4H+ZAB
zc&oR0yLWlF_js@OdA|?%pbu#oeRf?7yTx*}zxNDuqI-$)#*D={G+;93pb7J_8+~vH
zW*`omK{#Rt<ER;eV`eChn_)O%hU26efm3EAPMc9UW7=@mwBwxVz<JY&3#JPfO*bx?
z9G6XjD`qsVnlZTEjKvLR9Bwq@ag&*Vo6SVrVkY5T<~F?l=I78k8tkF-9`F=89|x!D
zek0gK_xC{$-H&jbeH6Y;&GU1-^z%L&I6yuEtRtTTc9HJ}?;+m<-cP<4e1Lo(csKce
z@Luu*;C<xBz*O>ggC6qtu-|?T;AV;jaDd_(u$iI)o<`9Eo=q_YG*B!9Z=hJguv-E8
zQ*2|{?HK%d+b?>+)*c0zO7Sw#$hcwPgNz%_uw4K>jN1gJ@yDlu$^7wgFojeXV>79q
z)KH$E8Udz}n!t2YfAB`qKyZvS2+SZ21#ck@18*md0Q*QCU?!;x%py$$vq=lV9MUo{
zm$V!lB&|r`0I7$x3-d^O4O_bpU_R*tXe6Bi4W#p6A?YGmM7jd1r0Ww{OuChH8<vo2
z1}q~z9V{pHFb-%3c0AA?>;#}J*on+{I~zbbuycXxVCOMk>=FRw!7c|XfL)n@+F)0M
zT?bSId&VT7D%f*i&jZ!KJ~!O=_6@jg_AR&#@gKo{0&0Q{fXlGo0kj4C1Ly+wCr}6M
zf1oZ%G@u?x4EEdD07`<yNkA!(_#g>^`XGr7&<G?6kPjpkP!=RT5E~@p;ICWxk_$j%
zkkUXCkg`BikaBEoMa0kyqzXt?IV+IrAT{R{U+Qczgn={yX*>oBq%}yJd80tafQ+3h
ze3@#2H6YVtSPe1*Waj3}Trj`v7R1m6<OIltxx<$$0Q!O42l|6NV849?=CyqVU;xNR
zU?9kMU=YX;w)Pi*!63hZIG|AyFa)$5Xa!&>Xhj1I2dx5(0Id#;0<GB#BSC9}Hj1-N
zkbp^`JwST{lR^8NUYHI#0Cb?Wg8=LR9R-vJodnDToy@RP0L%iN%CIv5go4fi!htSM
zKoQX0pnHMYp!*Ck7xVxy5A-0z9s)2Q^f1F70k8n{D8n8{0&;_%06hsT1U+REun6=z
z=uKcT=xqaR=z;&g1IPLQFK~jY1~^I8JjN-i=~T0Hv0t49I8XI4xIn25E>fC+J(Ql{
z5~UxwOc?;KPzHgklp)|6Wf-_lnGJ4G)`KaOtKcT(8*q#AGuT7626f2}pdQ&3)FB6e
zTI5u4o1Fh4aEDw?uEAY$Be@gz$$jJzyiT4W&*DAuHhBjhkPi&_h<pJ)CSL)ckZ%#6
zimEYXk*G#dhKcHX%2HANM42M0Lg^;T07_p`#!%*qGM2JHlsS~nqU@%e7v&(OqbP^O
z>S0Kn9)Var3Cbi<u261@a*I+^l-rcyqCBIF6XhjkpeV0U28r?-Wv(c%Q)Y|uhCts1
z<&-G@Qr3v9Pnj&T0cEYohLr9i8&Q^s>`a*^vWq|`fzn0f7Rm&X`zTvQo?*Utc?sM$
zFYkadLgYirJduwnt3*EM_Ivpf3@_gW!^;mK>Gg9^j*9$(azx~BlmQ}tr}q$m-2ngp
zHU($`c7X!i2-rmm@Mpj-qW~SiZh`{b1lS#*05=16lN8_<z^+CCZUgM5DZtf$-3$e|
z6R>MgfLj5(76teyVArDnzX$B*DZn2AyMq+q4}jfa3h-;d?g$0=Ens()0{jNBTc7~f
z0CtNM;GclqfC5|(*q!0A<aK930d4^7&QXAW0Cu;d0Cxj+YZTx*z-~kV{s!3HnF6c=
zc6X%!e+PVHlV!zw<4K5LpMu2c(-5oAK&(Cs3UDRh8_$W==OI>KfLMJIV)Z2moxTkA
zdv6)w@#(!KAXbM!0geNF%clUh1HLsy0qy{N>q$wYui}gc_zWZg`W-wHJD`C94h%yB
zAdYz)D(ThyTBvyJg`QMA_G`YU;)y6$DvBo*dE`l@ag9%?APhoTSzljYAARn*=hoMo
z>+9?5AM(D1y}zR&94t7(Ks1EY+jNA1L+y6E-Me<W-M+KkZsWe~JKJrl%%?B!Kem7Y
z^fzG{Tabk@06PdZE){uEEECmOsi;v81HZ^M*YT(}&xjZ!VtJ8Hr_;i9Cp?iDquyp0
z7J93Z?IN9quNEZjKaL&z0qhA|0c_%2)l{q^&sIU6#(h<V76x&wstCd;uBkgj9_KMX
zZT~ixnMYWh+=SSJ7^AJD`x9gIVadr&m`9u@-!u00S+zK6qobooj2?lPYqZY?-GoN_
zFe27uMC^ku<FwBu9MPA=`ORjt34oC8cd(8f_ypIYTvhZnu5rzySFQD6Z^SjOg+UmE
zL2SNKRj*oed0f~~Q5?k)O<m|Kx5nXZ9(fe|8aHlaL@YT_8lOmOx<SrhKF{i7#y~PL
zFg_9G@_FfIx$TY&I|-KPowbb))(rAL0ZCJij*gAzT|VHBP2&bJMirKGrpNPnL+2??
zx6-MUB*WkdO-pgd&7?U`V3imng&Em69Lh~+85>Ay372>(slKN)0L1U%_aF;-C<9;=
z1{{^<QH)6rC~wuAF$VPQ%R)%m>j)twF8BKA<?|l8ri5#v1Edt9*O5{PTsDVIT{nj@
zM<38H0PMfr-^Amw1r-3BJXguuu{=dw3q$29jR#>vzJ8mb3gXD~R6|8^huATWk&!2y
zATx$@45P4L1-2Mnx-}ym;{zWs9GTgADX}Ae_xy!c|6h0|Hep;&N_?ep@@h&3ev+Ds
z;vn=@<4s1yTErN&d~?IE2Qu6-6}ySc*a8=30c@=ikVl?-hz`OaY{VK@O5?6H22mWv
z4Jj)HHaEBHu5)wDeeYIfynt93uhbxrWRJWKw}yrB%8}HJ4DdS|@P{x8VAsQd^L}rP
zm29uAwero87wCq5piB#U*A-%n4m^+;qZK?+aE&h;j?7H;uF)?Zem(#6TkRZf2Ef*M
zkNHtNzOtJ3U=7K!JeE%Boaxb$ltPqdcHmnkLx!{MdsNhb|7B^(>^&ohL&G7*H5@4k
zA*DZqES%i3{q!Zp7Yj4{hmpx}c&Lr(cj}>woMyf3lwFZLjceRj#V`n^sE)kaxK52}
zM|-`7zzD(8wCuT)^W^|BD9?XvEI%kPm2<O9PJFE7<q`8<>GOoS-x0$T>vJk+U{Ic)
zF9&FuLj!I$l^Yl%=0thI%$~uhu6KT~zlld;8^Tu>20WoOk80AEQPLO{-<Gx=y{Ty_
zLjng)4w{U<^E>z*M^D?mf9YAhuRi{PjEG%8jL`+J0&mWV$D+k2@II(msgShqB*y4g
z?*zsi<x?Y`rzd&N%_ha@r_9lQl;s=?c&d$zh@E)ahY*7)SLeCZkXa+0%HB9euD$}C
zwsH`vws&%+xg(-6jA|X(EeL}!il?LsXklTzQY|D0$Hfxg<$TN(;nXQs&eHc95uLs^
z9uA^8F30gzv^@JWOSf_#{VHOQ{=>Knw!o34pz0A%=%B1EC9#&^n)WZl$z>jXP70!Q
zUGJ^s(uRYF_H{bZwwM+aVORJZ03Ov}DX>&>8-?FmZ(0+t`Hhu%CMJrbxTY$qqFiG%
zDoUw}@`FP}E{EPstf22VCL6wwY--rD(DxgAHhdo~Yj}!%+p??zxri<m_VhGblat{o
z92H9q-$(TQ#$rhhj}${H6-S0;Y4O|WQX$<|3*=(u>8>U8A=%@;ZL`T!+Vp6#iW)%}
zgc{elr}^!WgQMzaMx|>PBEtU0cknnoE)R((RdSwr?aL|%>v35{9)6eSdXHc^m&&@m
zD|Iw*#no}$)z3OR>*i7$nko23D)$|gC<|8bN~}N@Jgrwp-ozX+`-JP~q3Yq9Qk$Z=
z)nG-1X0Cj&4y%6$kF4X>w&tCMnn!V2MR7eWtAHm`IV|@c$)&O`uIOm=u5`1zJ8)t0
z4SqCWVD&e#f-R`S9x(5SsCceob%tvkt!rdIYRo#Wgf1hB?M3AwmXW+-q399fc-<f6
z(V{UZ1eQxtAu5-~efHBU%Jy_xV2Xi~S4;*}9Gqsv7%`bC=7xsGl2N&YSSm+Mnp$Tu
zdRPX~?=Zj)><u3Vz*$mOZK4W9c;pzGQC&50>?kHLipg`8s~nGN)pkzlEp+-0t4m9a
zEiJ7QW3=bOVzG!=EG{nW=`R`@3e}Jw)#CbGn=NpIn4#OYZm^}L)jiQKm3(vsO}4bO
zn(2~6EGxc8kAy=*$jW7g#bRxjd?<sARz_^yFm!ulb!my+IpsQzJLQT10M>t}{|Fwp
zhDeXBP<Yn(LyTipQ=XzY3KO<p^JC@RuUVG1!5ueK+$?5Xhi~kD<Bd0d{Ns40Koq?-
zH^ZH+TOFQpvDtg#;fFz21>>M#XNi{eh#bpw6idnGo?r7D)B9XCuDVX8F`u_gMAOQj
z+VFj}?eUUADLM4eZQHgXKU7_GZrir)9MutZDo1RgY2`OIGWgbfzfm3?GySOH`}n6O
zS2#Xz&T&V5tN$RLfLFjI00zENBD+L2j#l<8FT7$uU9N?=8tt}QRINt4?G{;5h}rr1
z`T5ydA%vLqpEW{A3%Atk(eArP^|}x;H)EQnIWxDgu&^*YYYJh`N-4xVmVYF+K*F3(
zn2MZ9r{JSd)U~VSUkf?U5&41ps48Pswa<a`Xj=ILcdXV%#}LOxYt<bOWXd7ekoT_S
z$f|0eeN>gDBACXZ&zV*pS9G29>9ptiQ&v1>D~;+XUf-s=?y&zN#^_%hZzRU(M&w~-
zeZ(^E@e3w;<zs&ifb#FlAIsWiETyiK5wX&|)}0aKF6Y(`wxH^+oZU~Kw)%-~YFtyW
zG-NhC^!CrNYo(Goml&hVWmd=Z4m*6b<14IgZyHvvvKy{_`8qf=y)z?Xx}N*U!XoSc
z7h$oLGmTm72R)Meb5M30ZU?x6E<Lf9mL1bLfh&Aa)7yND!b0ayfBF+KMlX0ky+G4x
zk4>_F+K*hf!a&)YlD}+1xvnKIPmIwT6U~O!x_2TvmfBux$NK4R4z=G|0KjB}oeF!G
z(2o(Niej83W|mhkT1*UBP47)I7S-w!^=z0L&k-NOJ@5*cNHp9tCLQBj5UN;3jwRb*
z&fZtfF>Nbz(fLA1`FyBxYX3Tt7^APQ+$*!D{qXrx3i15?+@CIBoaU5BR^}KHK`2!e
z&l7v_6z5LLwHWnI?3HS4`a?PAdjBDm0PM)Km93)0r(zIF#g*n4!%*E95yetwuDv!R
zt<yGl2{#OGS>i3cd_eSGM=1t0IiN+j{AxD)YOk};%cK@OhDYKL5kH7LRI=|mVVXU}
zeFc`8#h~?^X=Zy5ujS+A|4?MB`~=1-G3A~^WfLDRzi%J44#lge86H3lh5&xoeKN@l
zQ)-bU<&u6Z)Q4w_yM%j5zWPy)(!roosZ<7obnW9GVWYV=JauZg)@<PCkFr-03nxyV
zJh31u%SXAnmFKNyvz6ytw~!~e`T*Q1eSUe7VKyqHJkBl3>?(zs-1^?$-qH&=_R<Zc
z+Kn4G&YV~zWbwqAJ>(k59yXdwOU(v;h2k-g#S>@FoLD5toyw6=vo|ok?nm*<{nWV*
zQ0Q0JB?%jDQ>7|Z<VdwjBaCCDWHq}oT71xUJpSMb{9Xgo^-Fl;0Ld7eBb)ntH2YpU
z_k_=F=ZW+jIn4PZ$unfV#{=7EJZ|$b57qrPUc}#Nk3PHCRH_5V!R8@QKJBO9z<k$y
z?a4+1G3jqkZ%n6Cq|^Co6|q{K*9gIz-87qr{<Ldy|3g-<mu>bFJbICCcj)<Q6#?-0
ze~*6~&*5j_VYMvzTEnVH`B1Vq&D5E8y|^7cCfS;kyItE&(je&<B0CPZ1>WWZC^DM$
z>4QC0QdJ(GLafi#MTJ=^+ZbI8s?`uRB~<iCl4T`~B4@k5`K6oWcfq#RN`-BVE?Oe8
zLzzZq7@4xX-N)DRj<9SqWJq;`^SQa+mIzHr)2M`c6ex%UDW#I`e!9fa`zgy?A~cCC
z%QOlkNtQ{aqPrNbQ(YHYILj?ZZjLkAJ)~bmY{t84yg`VewzTcCLip_Bbs2s~R3btK
z3tL+Y1I+JEMx$%jMkD0YzkH}|u(0)))Wbj9N26<hxi8KU>feo@^2II=UP7fYrL14@
z(D>*_Rp-Dc=k!Gy;CIoW{1iSIP$Mk&7$U>{&}eT@|9gBy&fzC9b?!yfZXjhU?Y92`
zJE8H0SF5h8zWNPD7%2PHb<{^6RUKD-K?(4?m7x4Vyv;#$${)fjfntQ^9!GTW*77GE
zbau@-mHxI?Ot*5+3N%ZyK2?Rt(y$ck92?(gbDw|HH*wFgzx~^7$6N0UKId`U`M&RS
zZ0`N&k9yqZ-+y!VbIwt_0Px!nahkK=#EZ;#txu3BBA>8apMB#u;y1Y#^Zz(I?Ec3-
zv)o_!g}!RXci{mSNS$GIidiR1Yrw3NNsKw+R5i+9!8tzcd6QGsz?Je(0;)EfS*2dv
z4cg4a$1)0!fcC#3hq1bVpq(G;UYSL4mSp`nrs`@8kwtl)MMBOLgq=<&%%Z)D!*Sj7
z5IwJs)3vwiyB5RdyBy^2GU&49evD(eiwET{9w0BL9Pt1>uU^icJP493hGUL&*+Sml
z-M`5Z`OTSOe{=Pj!xF&nghhB2fJj7=WEY<RR{p3M6={|V2-k|sQsSpcmZez|?67_<
z3A0FutjO}<=ss0xnxz@dQkv?Hf4e`HB<XW2h@JLudzG20rl_mi!*&O8<#Uqly0(p;
zSE<zEC_-$1?sIL#D2i*9isvCU3>pwZKCyg88VwTDjCGr;iX0o}U@(%-EPsMn7T$_M
zplJ%N*XE_A)+avET9W2#b*gAu5Fn*MAUysFvWPPnz(oLzgvdk|iHOon(BN3od#@;t
z>Zy<xRNYQ#g-FFVyyZVal3<(DbKlAp*?6W#EX#i1`)tc1wPy@j;oo|W^5Jl(*ss4=
z!|-v_d@LaPy|1^GA<oeLP$V&CJpCQa(CFpMRM**eJZ&&0MIW;9&L^LI(v;kLbnC{t
zs;=L#^m|;%d=daa1~{JK3};|L0z<exu?tm0ym-yRISQyV45+G%Mi@$+PNyH9lzY7d
z0afEp)=m0DOfeY@68zUkIdt7-v)gSpU3cwuT)~ISkK@By+*^HUHSTE{S<SCJbR}OU
zx@MPewly8c%atgqEH57+ZZtgC^%{+M>3?}MYqbztt<1ZUuM)DFU$He^*KDsZnaWGm
zU<j81<^zfMh~b(ac0`XO3EBE{X|a^5v<Qb`Aiz?b%}2t+xq6lrMV8g)*1krWVyAn0
z>(*PhPIo)_`KS6zbJu64cMpjoGTT^LY0S+vR#rBak8ojgv)AqRHa9Qa4)y%=&p&U|
zvFZ72<4qCC(^b3f`ZdM_;IIIv;WFF{uZGvd`@o0$oeat5uR{?*#Q^*H>fjc{-K0Ov
zb&(_*(-+<mB;6#-dN0+&G-!i|7;{99Gmgm1@fhk-pr<8nPO)2ut-DU5`t11pBYSD%
zHFTY|pB&&G@^V)nb{38~I=fL2cE)(z0G!{xNwm9?88;n$9%pkQoZ$?X6C+sLz1%Eh
zJ7QGyKGmAMxa;DIVL^+gW?0tKSi55|K6U<bH$Y^ztM~f-xHxssqmMqikepavUaSoB
zE0gmz(O^*iQI^>qx7P%Gu3NM95G$UhQ^oUYES$TeTCEy>h{XM8-LLk1@9#2T`I8)y
zUxZY&7-lX4N!Oh78PXJ>SO3HXv{~>D#@<mL5ya|k+xoU|vuq1-KVUYd<r^N-^@s3%
zDKFe}ml##)(@#^CGW-#)EpEUCUo8_}HM=^5{_WE&b9=khndf4!BdXBQ(Z6AE#!-2m
zS{A*lsaY1CD9CYIPKkK0aylu!;#_&e=uKUJa?vpMR2*|m@$-Il&%;?|SK#EL|BF8X
zHZ))Zo&Z3RObj5KUKO;Ug`5Jc=ZXU8E%k(u#S{e`dK*P=a7dyc=O{N@D@J)fb;9vS
zEz4r8akAmMfAOC8yyxV56m`=@<r6Qz{IabyWW!*u@$8qw(25$3sQeSNQblLJS`CnT
zS*Bb5qib50=>{T8?BTmD%W~bu$p&LDH+urm-Bgvoc=_d*nfn@M=u$(mUyd4$$O^**
ztJV4PA59RNL6bYsaZM|u(qQfIy#Tlhs8Q+w;+ifnnIqFpWf5V<cP%7s+LUS6J%WIq
zcke1=D=Un-?#hbmuJ1wI$L?L=)ppRno@1uv;<2~z)%isf6~)2QGzIz0i@a*bt~)(M
zI=p8-GdyN&3g^9XT(ytD*8t3~`BhM2CQMF*=oCbXpcjYkCIti8x!IP~=ZN}C-LRj;
zS(k=dsoju~Ql;45-=i|-Z`M5*vDH5N@79urY*Qsh7^owBPlteiuO4&_13kCi^Sy|W
z$Y!)A>kJhVsCr0#oLcCAGKY@K<0Eow4tmyQxDM~E;h@5VstqbQLSht?enQhI=~z*W
zt3<gR<C|hrN(L6m(l`oLs?u%}WNA&c!{H_O6vTEm7_=IJZ<>D4XblG0eW&vCy)@n0
zO4D8}grz8!5b@`;nTlcx5r4j}b?+h)^t`&JVI;bu>?w$Q=zGn2qaj42QEz%azW)a5
zbcH|^qT7k%Im?=h<Ilf2{2@l7+Z7RNTHW)IAa+G0C3^uV$NzQwqvXB#WzHG743EKc
ze$+xFX&%jH!Ufosh_0vmj5=+PL?j{^4cC&@B<@B6DiV>5%Fw7tvRDT}yq_duI)MxZ
zWJ9Y(;&aO(6Q5hoV~rp%Ww~R|mM@;@?0xg-_HkK<;d#{&!`}QTi%<T-wQJYt!H!k(
z6DLmePi|Ya>-{bpjX#~eI8C=Mjds@8*XP}J?9Gn?4}aWpd|sxO<MV5+cB|U4V;#4?
z^ZErc4xzAKubrqDFUMoE_p$MKZ1eH_vE2S-r_*spY+j?+IN2MaO_1h=rKKgkvn0!-
z`5vlZ=%UT!a2n3T9dIA)!V~ay@HTi}Cn<rY#%If6fj~3sqdKH{oUc45{DN~?RO4#%
zEDXb87?IA;<8T<hQMJd|mTERF223BI=hdf^6!))B{`j=h-QC^Y{mG$`k0;aJ-Tg7g
z$^P!{?ye9!2YO!JNsmEex{xYQ<o%(+i|gyx$A26oU0**K3<ez6Z}rFr2kYwq1S{S#
z-~m+NPJm)0qIkEeQk4cX^9rMaK9C*dthn_1t5l_FoW^RLW?ivq7jF9x%A14AAbn(g
z9dUjAkw@0ov1g;C*VyYM;wmdxqy2ebPyJZTA*vLqX3COE6(VggjY})(_IA1=Nh|4g
zHsE1BvW*2<uFbEV-&|Rlt0UIuR#rCGSMZo?s00mzs+uI%2u0rF6bclHN}D{Rm|3X)
z#gDVDbXq6|^t}4Jn&IMibvq;<T*fn|pY>y|wM>n7;qHxwi|BdvK^h!8Hen2Kw3cZ-
zsh*s}0~iA+`8vf_ZqiY6j{9OUS+X2v`6(-28ohi(M|UR2X_}^<v8QQ<SMGVnIpnWb
zm0D-zS)n=h*}7lz>(9QdP^FE0=9C^!$+M_%RBCNR-fq`D5B-`iO-X~IA4f+JLk720
zbh;yvicxJOBTSnV^=TNmF{2{vbUIH!DC$O-y@kr%RuJF}Dw^yRI*dqVe?NYu47P$!
z`HvN}rm|Q>&t51Z7z8ccjmUKmWnVHi_O83xH~>h;|9d<m@5C9*!3KOCKru@C!;>03
zhV+MKJ>hOk&5ksehKsAuV<flMs`FkHR(hQPl!-V^I?)D|(i6MGqYf@EUcS7zh`6|T
zIq)1t)k;m43GU!BK^~ea<!3i26_wc$zp8dlog#R%A}HNB%c)|791)k1tQYsFXOlj5
zB926o5Nj2cGRF&6;y9?(YOC4y2b#6+;%dK7NWZ_j+V2xt(j>{GluFXO$0sGysF;kQ
zRF@=~tY%lPR6I^%c_>R#T|%3il{tb)PL3~UnIfvF&d;wbc56*ZQWQd{DM^|nqwCf+
zX}MlQ$feGK>-Ytz!D1D&4NanGR&r!{9WKs$h}Jg*PNQ_M(P%V2zJpidPb*&eHb(DE
zmp(TUA9AF(ojP^OUqxfQ7yZxU-@>opi;%*D@H7AhC}NCFb-pprQ*evXBwPB>zT*g-
z7Z1ZucJK$NfDWd;wle-Wms9OZK{@>9L2*x!S>T6DCr>7Q&P|071$CV*Ih9=zp`<Cy
z50;ltZJw%B4eRYiCpZ7{@Z6x;w6rLYoqm!>njGLBDugH|=l$g5$)(T_n5-~ezdt1@
zMxtvO)yk>OQ_IVN&lF9%fAQwY#ouc+n}a~sqCDw4au8|0U-)_IO{l;sY{PAKG{Wh@
zsOSg*NM7hpGXq+LTF9Vm&Zjp=fMeN4jxz^&Ip&B*WjboA-Ws`%#-;*=n_&g^!ad~e
zHpl(h%*}Itvl*Jx`SQ@u!DZ1l3I3~a2e#oNO#JZmVK&M;*{T?Nt_VY5bsWLrPNvd$
z7!Dk8SI7_~&Cc!0P#F~fDN$T@RE#-l8csD0c{z0?MXsEV$Pq^YJ=m3fwQszy0{4)A
zoRE)m{KwthU5>~LrK6)G(UL#f6*BqVw2?+#61X~!fB;UxhAnsso`ZM8HvnLq$59w&
zz+*`*D>qKzjqCxxOOfagM@4_QR`iGX0|Hc-2^5m?`v?#ZMWIUn_f;B?e8BFzx$j4i
zakQ;e1QhLD32B@!0Q|WQXW#dI-$&Z}jSO_1RghoxQPe{e8e@_Cv7BSO9v(J(wbuyg
z$|yASy!yCuF<l{KCB0Y?%QBU1y~Yk9ZH~y>6-9`b9eD-En&u$q=rCQ!ZZ}T{&6XuA
zE#G#9>k8b&;c!Gg7)+3(=hf?;hnhC<46Ehau0gQ6mGokIF<l|$P2?PrbG)f(HQVEv
ziH^e|{5;OpFwEk(pNtA$DDb8Vs?Hw``$hmzf_asq^1WdJNA*;y1OQ_+q=u3BA6?6M
zb~l#rIS|N&BoG@e=UFJFG4uV9@nI-|3Nfs8aoB=q;4Sb0_znO+9EPJjHw1i@3QWd+
zVVb2G25$j1?k8&8P1G3YL?^9DA;FxZ0xaavD38Sd$}sV)*qpaV1Zbj^tcr~vD9myZ
zB9>C>p~>BN`l{jNqXws!UT1JTD#b7yg7I;pn}v^`u-6z%NYNeFk5$@_yHx#!YFt)n
zJT3um2fwBl<qDh?T@9>0lQn25R};p!5?w7e9t^X*80+~Eek}Bp;qiEHf+zS6$$swV
z!ZO?gFdyf!GVkY^IDsvS`q}p|TeCVclF&!)f<MgS^PW*&qw{Q-#W)qxpZtU8kk4kb
z9qb$nJ}AHp?>X5Veu_M7Q)svMET-JKpSNP>|9rsCG2^NQ7+U#u+s2ZqUle$&g|^@V
z+y&sft}D}P){-KN!V6Rwf8s=wtFVM}lJ%P+hiN)N5e~x!nIftTc&nKPefFVreeGlY
z|6cQN>)wVWnnlFnIN9HCW2@b6VQF}`oZ;9a9Q$un>H775YX(99RD*m?TFDZ~oylY}
z`Ny8`d48{C*tXQhGKU3y+v@avQiV*YA}~i=jx{E<MHADCk5Y)(rjTzVF7#kqk9xgD
z7Uio&k-Z`y<t2%~F%BT`+Q%F}>-d55lGgOY@Zn~!*ZlCtC&;4@Th@moj<0#?rI$D&
zf9Y8vp1r$W%IQI5Vv1k6M-Hdq4tN~E*F=;Pxoeo6zA{J;@<&DPcy?m<vn|xUsl!WV
z=&^-`g<XP1w?RkO*`>LqZPjtbg2Z_gaV{l8!nwlq(s6PB=ve>wwH|ahGF@+BXtU5}
z%nr5ME(9;HUrmbvNZ=gLa1Up20q*BVQVd^YWmX~)32EkK8E!0MMOT6>%RJ38KI3TC
zwro@+W|B>l0}3j2Gjhl^MvHx1h!PUWCHPPxMGHMHXOhl+O>3g}7Hevn&vhx2xgS#H
zvHV<@^DKvDIU?_h2oEq4-7mKnG8~p&Xlq8j-Dr4jt!kQ!8))whZ7iAwR%@=;Xte8w
z_8i(QsApN^9Lp(2qU$(a5up!Z0sJD)U<uB^E6|%_5TRqA&(v#8z)zqB53eQtID|14
z!z{QK&NeDWg&*f}dc@H>V!FN__YfDku2PQsoGKb$MC`@uy3W#88wcfKl4tWvVLTpB
zeZN-oeVpk!^R30jQ`HNFZ`n4YZCieEp?Yd@(ejzD?_#@^R&U$dx~-bF+E^aceBbwL
zn4T5L6ld~^e2u<Dze4{Rhs6F;oVPcUWm%SI|0vU2X2}*==ieDl&F|z{mg^99tV_dw
zM0f=W+sYJzBBO?#JkH%(pB-z<v9G&`vpKPA^U?`lYfIk8%;ndZhkwRjTlhQnHSztw
zNb@IPoeB8P_VdM*sobc@K9=s42S*Roks!`o5sHK_583VcJbU$qS$zOb_V~+I5a3QL
z2r!ni_5Uf=wd))0xr0H_y7`|wJ3A5a@|x?VkB=nUDX;JB?BJtzi>r8^L^mTcMw<lz
zvvIsraahbp?r@xZ$2h|vXlWP(t@5bj4%Ti30cx!vz$rHX;p)QIBQiZKZ$`GnY-`Zc
zq4GbcV{)0BJ;vuNmCEL5%gtcNUVj`G;0n63Gz^C>D^4I|1SLEh_878wvyhjwF<OD4
zy653n#;C+gkSHQkjlv!G^`GPMA5s+p!)V}oCIZuwDl8`*unp_Rj60GOOzT8^3#*AE
zLq=9)p%@7pI07|tlLD(|%p%ZCnoT{z?=u5`Zq5%(*X6c5*BA^MbFR%@w~M-NBZcPK
zx{kBSs|I!5?x7{NZNoq`44X5@^IVEI;du_@Pot2c$XH#Ue&5^ykHXiPY9=wdTjUlK
zX68L^)T93g@Hrz4R6Fi2Ep=n21fi~lQL7b&v~{=KG*FCiK8&JpJ~WhoYs$HaDsH4d
zul*%>5MGBR7Y;hn$v7DW-Z4u#t3osqQC^(r#;jnq7!8*S36!7<+a9*gob0yID{2q<
zOxN>`5#EnK`*sWA9MAk?k2vkV*{<vCM$GG(wm-(HU+lMcr{D^_5}ty$!AIa@@V)Rw
z_*M9`aa3rz><e^9#gMAbZe6VPzChezgn#BN0s1|-d31E-`LA+Ben|>Zq2xHu<bPr0
zV_Y@{C&-V%bKBPO-3`w0&z(!#>T-6MyeID737IAEWz#Xnla)K2j&qjs_7md3M&WLG
zfV)tk6tG_0e_9;yG+jc>x<W`JLT+5I!(p~ojGqrQKVe(@rnzs~mL*{xxu;aRLv35z
zQB}%rG79?76c^VnE)TvMsFXz4nei?Ah@%G6Ih^MQotCh#Ut(LnLW_h4BsYWVufaX8
z;??PNij)pqcjXzjw+1s%g0G%Vr|9gR7+ZOUG1on37D;giO?V2v6<~fClF`W6Ck}{|
zm**S`fyiirhlE=^yP8yhP<8}iY(>uV#rjE>tz~K4PtsvO>6<E|@(z<s1cU_OS%(Db
zv5&mHoirMj!Z&poDaXejA3Kht>rA%v4_Maw4VxQ=ladszCJ2PCsfsE|GI0@2B$5qq
zP9n+Z`E%?qjUICXJ|iF+WmH3J?frSqd7C3fVUKwPM@N;n`6G|;l<B(m7SnOeH|vJM
zm&x+-x#eclQ59Jt1c_r&BxHL%P*QYO_dPr`8J=^~8E>fzC+Cp{@BVdi1s=v(W%u(w
zh&r;Y(nP>BKTEpU_60G2;e{8tVaV%>UC#JYIi0J0q4VqO>#||+7i{IhIbV~&v1_g?
zc{(0J*S&~1S{>d#5jtwhfH?&>>0VTb8B-3FCg|02d_|v{y654Mp<Opr$`3hJjq94>
zj2fzBir7f^{#e^Hxs7OZb5Gmvw8kugc`{buIu=DX$_Fm(Za18U*4Sq=_VaKyD%>P|
z5e?L#$1N%)fb=1`u?KN~FCcn(zZ*X`%uhvljvgUo0LrLvGafy27_22ZVdA(e0JPb#
z4fQzYIAOYeux%Gg;MlxR*Zc?kfbw_;Ikt73O)y(7?gwVidcd!jzuO?rQ!(~u%obb*
z5Th55m!tr+ar3ThH>e%~$bH_BWS4ocBM~J)>`uA%>2<lK76jJpu1uJ&mq#4&5J6@O
zd0rjo>;41&F-S25Da%;t`cJ{*@Gb!CTNgHsZ|Q~=Fee&d+2*iJa|Cu8xkMy2z-ER2
zp(!!o*;WE-EMUCRFnIPqlo-!7t5sc9?KPWwP9Ey276r1Zd74VudpM$QNs=a`Wh=5K
zq3+9w{L#SK_L=EzHM)=1Jr4z91tkyB^Xd;#MbQ{*l)uMxUDw%|>AJ47F@C4USR)Ad
zhU?mVz0wK-S&M>Z)v|5mrmR?&uBf&oS+*gormP2qa5NVT*Jlg9=hnS8RlSa(d-b~K
zq2mP2YE}PEU1vv3*L9s8F<l2B0LQ<JyQh9O75<GGNyd)JTnJ#!f(=G2TFt{U&6yKt
zUB*wDvo8?}8UF)&M0HlEO6MUp)-biNvMQo5<?o+KKj$0T)3<jR-w@}Kh4)|JD-SIn
z|KIUX5(&Qux4>7!2jN?D$_dzE(d2)JX8BnnbDmi!M5erv^;b!fEXlC6BEkww<XYyE
ztYVQMNF`AfSfLF@pNJgKBp8yzz#Ecf8FyVXElcuVWh)BZ*r1AHzsg(o72jn%6(2uy
z<_wpdJC=2Q`3^_oXBeAzS6H)F<DBzatvQt)V^CVXw7IX$ycXHL3-rM9@+Nr~W-H6h
z(pLw2*p=!#@c<lT4iJk9A*G<?<-8{2-|<PGcBvY7V?r9awj`J4%iW~^vhi-5W@`LG
z2NxD@^@H11GlI3+()RtEykRHl(mFvzO_gO$Q7lEJ8X;G*jJR$S5mi-D3?f;IBFl;*
zOZdvQGgsC(DiHad*G?=%XSMC^2kFWd86YAmsx0Y-K@h6&s4v8E6;Y98qFM$))D60d
zNG}-9RO$+T(x@f_ndKF0qb|7+$XMtarshn;%E=yWb5)`R<daUz#0T2peD-a+`sZDN
zS`^u~ZAVdUDjoB3+^%g$qFNQzh=&L+^c^*zfQxWHJO*#FG~qaBWangaJ+3jo&6fbR
zC!vVi2}k6|pa2?90JsB!9povr(&xBu6Vc=qK)#R5NIjc7<rsUQ#3jXERJ4S_>7dFv
zse{k)OBi3fj(@}%tiWZs3m$`K;p+iJ`kd2O(pe!x)Jm(i!HWfphNBdKXi8xR4rO7M
zuLtOj>JKB+mDW-?BeWrpA3My3<1|fE3`py9Qe|*xuib9bFcRML9U^Z>ghY<B+iu@(
z0D!IJIm$VcE&=dRwlShARPD$55BT+O+}HKU`aR@MrQ&e>lR`S-1cWj@<~TNe`IO@n
z`IzJG9(aptrlXJ>kH-_}ocFYV9PR@sT-SZOqFF!j?=6wxZ3%$|ZeW&@!~or$q}pf1
z2(myIUTf{sg%$;Js=BUPt*Wl8rg9KzlQ&(h0#3`RD!MO@vr~<}e}Dc{AZyWqgXr9K
zmxJgWM4BAjeYb<?+<kYOzx3{6O;*cp*l2t2-h<qCtmS3P@%jAxbUJOldw=Cv+~3&n
zx#gtkz1EKSTE7hUw-AhTI;J`3d>1mHs$F4TvIy)YM(X?hxpPZPOG}ofX_{qT1cxNL
z9?!Mg#IdjM^>t0NEKP&<eyyK_hiCWKJQ^(or3cZv-)8x0F-np~M>$}AyK!F8G-bh3
zbX^(9vZAN^x*{u=>?)(Gr-H7t6-rP0nl`4orfb@DkU4S#l|1(ec&-m%2c~x14a@OT
znM%VMlwfCvkss<hS~1QyD$^mY)3lSYmaecvtyC%`@!&3y3KhIUqjq~`(QPEul6RdL
z>}ce}MCH=X&Q8KTlKg9S1ftkkv76&HQx%ZIE6$_y?Q}Y>fKH{SiU@}x-3&`$++0c!
zi6UBP_US?T6eBT4I0l3(odia^vD@H}_L*VOp34!r+oOh#_j;Zkc)DfjUSRta>JO*W
zsi8<Tmbs@XrjlaF&3?b>>2?rQDnVfDo*cN|L&)GkFNk1XVpC8SnJY5n{mUhpX^1)-
z_Lr<<qU&sz>H4xHn~0_?EzfMc;lh6F=QIhL*G(i%=VA6;7&E^1Z-slnV(X~Z^(;jp
z6&fBYmVA^k*G(BqU6-*|Yq!V?8XqKr@(*3Nl5r_xuG?yLANkRSae`vz^(LHx%WxmO
zmivT~VhC9;MZz4*Y+{NKj4eYdjfA&mTO>wBi>-u5LKev~zC?=@8kwL%d`b&s_DzdS
z4Fgdar+;AIKDu&cG>Pi<XmW0YkPVA5*R{?)^2j;Mbs4kfFVUS$Cbm6ULR{)jCKZH7
zSFVhHZ8G`1)Wo*q+pn=2_mh}Zt?WYdqYHbR-2Q8m$z-Q98SB!jKsr7?o)LmCLkkA5
z0#K-aO-m?F&Z_k<eZJ#gJ}Bmud76nVQ4*09ndG=gybl^W<Hq)zxot~h;y7M8Uc-CK
z@4<V258s4$e)`j&{*Ck}OyAcxU&nOAx@}FN8pngcH1%VseesK5{5Q-$aQ^)He<*(*
z05pK(88)Iigwrs--Rhp#;3;@Jz<eT-uB!s{#-V=Fk7;(;iHe90F73ED<aGFdI#M3z
zahB6jL4`;}Kj|j9N{b>9$xs-}cI5b12SxkodiW<ce*gXV->*@XM3E3tL{zHXFO=IU
zk)&?x#CcWI)bl4=T}dMJc13(YA`<*E66uO8%ZP~oNr-$!k|cs(zOcC&132l7vDB7*
z)j92`zHF!Wsj8~T+I@<0pC&76e<hVQs@>J~Hx*^m@7|?RO-@((xbY3LqW_5`#dGds
zMEVn5*A=<^lHvH!FX(z~I_nOiv+kHN(7fO95YEG0@Mtz5Vv8>gXp>}<gXaK@+q!6D
zd*7mC`I-&qbV`@kyciJ~mk17;c0*F)$9C{}#d7~TQCw&@B425@?GqH#>C(-^Ll%V@
zB)VS|_efM8+9ruGjYzpioj|E;Zuwj5IO)dZ;bw{DjiOY}BsICi$pmo^G5^iYO`w3=
zVdq7k8-eH{Sa9-LmNgj)MB*pHMU0!F!kOOPp-B@exy_s%S<9CA)4+87Z13xTlvk^*
zwADucPkv}?YwLU4bOjf=rcjQ}D1|~Ltl8_lW#&%w(skzZ;_F_haGpice|7o$%70JO
zboJD{bw1s~Zl_bU0RF8nm7S5KKg=>l!(1`yA#wW|L_x5Jx(V~xA5S-gsJ7cx*I_Kl
z^TGW5AkP!VT&LP@SLwO>f4SOjS1J|8Jg48Uvc`286T*H0N5Jik!vfp}PvxQ+x8KHD
zMsW0jc1k6jO1!Eh5C~!q*v@fQy22uOmyJIkF~{Tf+|ok5j##fREX~>6b69i(f7gB=
zZ5FH;jj>ZYnl@NfcN00c9k2EGw6U=*&#^g2V5v+iOS&Rr!QuAt5ozPWb@Ym>@HA1J
z!xDm%M7nveo=Rh)@SSS8Yg%>mJXNoAM4DRM3TC=P+aiWL?YH^dmy|EA;T2jKYIs2l
zL#_NVN!Qs_k*k?9U7xl|WSYjaXUE&CYx$QSVXOq9R{nS8MO6#q2G(wo=!%=#GYf41
z?x({dQ=EYVSKw}V4Lk*JhM$6;gWrO`0`S-Jhy78pn&ckzlOzadk~@{$&ep2K2r0t$
zS~!zJEp|6?oALwg4!uJ&9rTB@QIU)4dyWc4rQJBo`pH`I@GSE=XbXO*R5pEyFpC6q
zw374-r3f@>p!AawG5%j>(kuv7+Kp4>NGwEdOQ~sko@t`z)dR<&KT91asCynR@^H`D
zRmXABs8)@iEtsd~t_FE|h!zq?B%33?_vFcwt6WH<nr`JZoafs8MAIonqUoB7<<XoK
zaM?n_Yza9Me9PypVM&4G(8p_yTg3Yss#J}~jcUREkv5sm7Dg;YK3L^k&d=B0$6;Pw
zmnD_zrOcntFzr1x3FN8?KFq=0JA^ggF~V#_93uTBQH_INhGtfUW@_w`dDhX~a(2Y+
zfstj0|A1dpN1(eoVY+_AvD`yf{!JXIHU9yBE*ef?1Mc#|LVy6Nitxuidx+c}EA+my
z8x=>bgzMzlxk6(g$GAb6el{Dg=Gd_mK@?`kPojqH?;szKkIEE&XdQqMFL}h#IS0m$
zYV(?F95jNHoxQuHS!n>=K`;f_J8@rA4<sj{%%gRZN^Z&6Ynsmiit}1DT)cL52{klO
zMZ=}5NBcjcDnFtq*RFmxI0}A*2X}#p__r)yy|#3VzX&>Q{w+(_t}fr=lc@ZpLaB1?
z>c7;xzTa(wpTk*YSH%47FsLXP>fq~Q1R(;7oB<Mae34uY@s}Ku{qg0Ug;u_Ff`<Lp
z@Zz;=*BW?)&8t_hUTxwLHm>2UIm<<){DZ4kueKI_f3bP(+^*NUs<%_$KAzzL&fvY*
zg@_2vLNHLXO_PjCZ!f`^Aym)0y7d1!o7NQ>127-~B~fJ8*ou7pL;ZwiSC?XBcJX*H
z%!d1e+BI0rRFv(4%|a=Xg&MAho>!M;umAt6sCyoI%=2{Nx-G_Z!@9aX153AUeGv^q
zq2ndNi4MrAs!N-7*DIc<sqVYgaH@Q6F23&F$+gJ;9YxQpk4?vM%xc%_ciK@9s8oI`
zA|#rI5~{whwnvs@nyTV*E1qTJoQXO-!WnGBcW`-PQnEr8V^gIBhs)E;S0}T<;o2Ei
z&a@yb;cO75IjM|_VK!AJeZ&h>s?WJ`9D@~z7Xq)POK`*p1JAJPo`;fOs|LQm(_1;Y
zrfG;sF07=gL$3}!uWlLMfKr1AMtFNua<4Z;RJ41y?=uY3T(TI$=L9p-mC-t@l6*g?
z*8H7b;M0|r3j`5wx*|U(se2yEU9wB^M4{(7B46+41R!4XXAy_Jo{Xn=Ow%wHO@%st
z$PxJqI7Ti1k=GzJh7SW2Eajyl&rliAp^<68AGixg&`E&%sD7>JCu`YSM%6t-g-Rn)
zh)5vZjcumrfroabejI0Anq(rQSr7*#{stYd=t#$bg6q{Kt;U!_!>ImQN%rb}bD<lD
z7-F}ZYr8kzif^rZJ{fZ){9_JPP5D-pyXi_Nkr7rAbEa!~o{t-hDEywEWC~$F;Ycbq
ze*C4n?-8O#QLSz>B~j#H4uc?;dJAvS;}ad|6e7y5SN8~Ks3K#QOgrFl34+#J=BlJ>
zGuv?jL|fsE1SbgN@(I~R0mC9Z-IHpl>UIep3FrRt(TReAz(+Z&=Xs=`46`J(2xb^~
z!Ifi?s{(72T;LSkuwQhzlCthX-$K=~Nur3XykKgNxy}*!i-vdTSK?MHx|7OxIJ%>~
z`YTa8!}T4GA|el{JpzZ!1_nXPVmJ8-SY0a!kURC)oLGA@A|!gUH}{$Zo4Zuwct(2o
zB{&UJ0Kab*+Cp`Ll=93_FOSeF721uvozJ)j2{v3TM#7ni`z3Ba5UcqrNiqldi0n{3
z^8YpVljM6;%dXWTp*3wa4C@ufxKp=nwP1t6P}g*A=lnyVEID4a8o9Y)m{rGpg~FIL
zlKoK6DYNCvn&*YLSf*w^v~f|>HN97#)7J^(a!n0vs*wgVF1M7xQ#SFLS|l{pvTILV
zs52%jo>!4&8b$TrUu(4xhZntSH3}u!wclA26@yA4lN9#Dfv)&dTc+&CDz<H}Qo}Yb
zE@BkMf52slUH8$@t#9Hovd{R4?#}`!$Nzgg!x_%t6zsv9;eGIp0RE_mM3~K1+?S)e
zyhMTHxLVOdDa00|FDP=9@fNch5;Fw_Esc^+u_rSzOyfcGU@7i9ro!3L*EJN)mL$tE
zW%YhqYJF?2Qgv>nrmZK2>jY(&b3`Q&io$OdaXi4U>zwse_1lKwb>$J$Oy6Dvl7TT0
zM*)o;_q?mh7Dc{UZ`q1WWx||1&82L+@>*M`<|dO>H$XVT8veg0$&6QP;<X*$$8I;j
z9wH7^P^uv!!UoGjy1M+XvqKCee1QDja!${n{_}7euE8!mou`urAA8uGoa;-dG|Q9}
z#eA=vb1&;Mw7W@&By_WYtB8<UejbHf${1n^Y>#<M00YP<i>z|JVdjcq00AdL4UdYo
zY|Z;B5Cvl5JcZ%^)Pq2xt|3INYMR=x!uKR*yq_YXN*t$dY8q8ti8K9!MNvemnoBlQ
zzxOg#``$p)=)S^vw~M;YP#_?f0>M|=GH$zqoA_zsIQ6ZpW}3P#MD3eIOvhEc<g};5
z!&|Qhf&3jjND&GDIFtAT7r*V>z71bss>~jb>`|7?nDogmA%@iI_6pPWsrR*bULBFh
zb1(4PPTbna?YnsHf!DC@m%?GVyo(5>A(f^^rD7Nk-59_trb9_j*w*E@=FQNj-7djM
zbax_>!Vyz-gH`eR-rk;G$2u-u^QjqL5ldYWA&GXzW6=(=*5`bo>3;P0CSe|Q<=L51
z4285(iu{`q;fN&758g{N&#2YlE$D64wvVjA8MspqEt@AEV|0ziA<e88af-53Ql$j)
zTvE#!f$^eBr==wrja5M9azGF)4|1mn>XyBp&2yb*BpM8wY0sKy2y(W9c75r;I!_CA
zLVZyM$ks@$t(X7E%F2qg#GYiV<>zz%%F6rTJ+<fJJ>s4p&LcHx{m{j|y}bmeseYu*
zBaiLv?XhI2XFeiwaF+aiGR99p8x~*{P61%te2``r%^SL6D&ogaG>YrGMdoG{UDr)A
zHxorc3pb;gOGXB=7j^B24=mF_{-UP+$bo78-+$k@f$RJG>5UsVZs2!lR(aD=#}e7v
zlBs6l#8Jl*+1^s<Ys){yx$;k!v2n8eV{DdxjLo$C<CH8fFJt3m`KJH`;P|Hq;0zjY
z2S5>t%uE0lT*a5}oJArRS(edeREOCx%Q!Dv$G$1t&IgY(dJr%hFI&zBIA!f?L%y3T
zuBPh<I)#qS{lIHcY}=fXf%vv1$|H_%mTg6rjgZRhZO?6!M`*U&VIH}7ZiTBFABAuj
zg8cR$6_Ln~q?*2HC;{7h&Yg6!7&Dg=2_s2``Z&?_+}T<;k8|ClFbxVErP|iHv+2}t
zf6?eV`>Sd9b#f{gUnF2*K;?q|sX~{|qk|V_<EQK>>JwnT&#<3#B-eF2SqS>5bsiFk
zj7Je?h<=LisSvWgO-QADkA<&EH7zZ_19y4jIcsJ-s&OejhIBk86;=7b2NbnJ%0sA5
z`6)lpmOJGCk||E%o$zV+9Q+6X%HMfv>}VemnaDB#fJkH_NEw-A6u1-;T4v&G+7Stn
z<xVZ)1f&Tbs~Rs+69y<NK#i&d*{H~Y1^^>Tg_{Gy0u<l$!T^X8h=|7SE-zO|<A+Cu
zGAj7vKQW+_=eh9eP8hVK9<7@eLB+NVQ#UPLN87R-&e-j}uwIV@iVKUI>nEDYgrlyr
zwy)o#XmhcuhjaBxP^oxz+S4puXKkkI$Ooq-QeWIOsESUi)A_l6(zu{$u5-zC7{@DI
zzEZZ4bM(g8j_3X4;M?*%SDgx*V$`E`U6&+Fl5|toHIq?=8kXzc-tj%rY*x-Dh`l=U
z!^LH9L$4~P9!SJ>5WkR#_u)_bkRz$gBOdSX@2j0E*3N2%NiFMEo4f869(=y-teQ2t
zPfJu`2`&Qot67?-nP-Nf6yz`TsYrsVgGHvDDSgZ!S!ujHg9~;w{rDL1=cSiiKX6`>
ze*Tv}{NWFiQT9Vx?om8+te+Rs?{Z%y{scuoZ#%gEQKHx%wyY1^3i;@tKKtymLOlBe
z6p{V_2Kq<c#xcmadfae7s#gJLwZFgQJ?MJ81b4%uk<@N~q)jF$={b$8*iT~GVOnMH
z4pnVXktF%dqrrCRe~*mZnf+W2)S}?=83E(q7%k11%f#q&z$j@#P&3j9c|PM9@>4Qx
zPDkeu9he{Q?FcwJ9sveji9_Q&PT4Le>LkQJO~sLDieAIv=fo$DWae8<HX7w#?d<4;
z+4}(rC9y99yf){oKmupsPI#!=4{*M7l$q*9;X_!ucSy}Q({)LayuV8mFN#@csJ=t|
zX5MZsj2BvMwytCG=#pX~-QG^sFl>&SVMw2uM{9&-7?#-jlsn|a($WdyrM)UQO1;f{
z#WCD_H*cFa)|}@ey58JmS|5iF`a$61)~6h-)+&|Ss)|YO(}qpB9qtD}Y-sB^tyHA)
ze$`?{kxU2lhbTi-Se*q4aky>B^6<yUaCMDkIu`7gJ{XV3cZ`NXxVY~)NXd-T!3+kC
zNGF?d3>>MM-JXp51N|plfmOH#u2g(ca$VOWV#Vvi3*1j!jfZGu7s)zJ;2@uk8Gctp
ztHmUO51GRuq5bu)QrA8Pgk#`3RU`>^`5a-|Wg=r&yR?^Z?rWa|=)wwsAB2jU+)VcF
z*`4ZzW>6u%+yYj_cek8M60;mlC8^-@_OFtpX=j$Rp)X9R?wIy_QlRab9?)wAaKHp8
zDjR`X&NB}OQ|HSobDy~!^DSYV6EYYk7)&%=N6H1Ti~L#>ZPU;&>tvy?&J&yJO++!Q
zB4Qt%aJ~b*a!S!%D32VNG+$BG?5ynTI^)tc-o{GPHc2l0KzugC@#}2hn3m|r9r+T@
z;6*ze=JHuI3$tRMk1Hm2Yw;s*my;~~k#mFCB)5mA(qK{itPpg>nC|>|S!BcK{=+`Z
zM#WJ?gzGZ4aW>S#P}b%HTlePMfuu!uoIQI-MCGtG@9B0hugPJkg=aSyb6r8A*M3V{
zp-fK_&Pa4pFy^`&uSi}I$~0<)x))fHrbU4i_WPj}M4A>^fv1P9NRxs)`nPWYxymOa
z^7<cjxA*S|B+cOTU)>C6U_$|y;9htQd<}q43mQ11=+?GEBtn8hxJ{lN110I@`5L(<
z64Z6wWROv-#c1eeGBXKGJk61%|DW&sFZh!Duq=H;uh(Pip>e+TC>DNpZF}BrJlt^q
z?ml#meBv=XJ@JEcb8~aDTrY~EPz>jA$RX|AzC{JG^1AX6)ADc`Tg7yIc(`!EMv{H@
zJ7D}BAHx>h1J?oiB4DLjnObIl0;f8U!8|;X1~xDE;C1r)$<(y(p;%)8flq~e^S#5@
zQQM|#Hnl8z-XTmq(m`z*w>+Tbr#Nho^f!^t@21Mxe6@;)Bp@#Cp*h}o-)Wi?*DxMN
zR0oY|m7~pm65G9WwK{)PC|5MsZKocL;W7YDuQ8((LNFvk(2CC11dwp!7zW}L=2W>d
z7`ROp_t;$;7-|?cn_;LLzcodVcSy9e6A@<$^f-SK;XGr_twS;?RFH=5T~)L(yRHU9
zxDP-{%Qx_$U8_Q?R-`oWa*Ohu#WKwFv;PH2f}IWeMU@67Y+AalHP2BJZ0g3~y}20>
z`h=?8Lk)h9>o)l+!NoD7&j}e|wB8$n11XMkejK$~MAJ2`1wwYlM4V;}p;9=1ia85`
zOv>~HuesGUpwIIt{m#?4ao*aYHcx=gd!Ze-P(ir5$cx)v%)*FwDcuz6_q?Rh`d=nQ
zZ<*59I0F#X0$Dw85e<J6dQYbt@QFWX3nBK@AD;RuX7GAc2SdLeLWL-a@~jn2c;lj0
zZz9U_cExfvj1&lOl~TbZ9ltoDEEI3J?z-!)f7@r4mX^+J>YhJ8`up?eM}K|h%$b9W
zaQ?gB{jRVq@m))<3j3$FSd|t$aOB95Bh^bUz4X#Y-}SEa(n~w*--QeVkmH<{@~ktb
z2>!#@Qbs*=8M+Ix`bSo@G-)KwWlz{sn{&o*QL-2#2kli6qCBkZ?Q^ugY7!GzI+iHH
zUj|35LY5eJpJm8pYlz>Rb_^>g64z*T`VEQlqMSM)twW(y@)dCoh@8R_YK*(&`TcF8
zRb^yFXzw(`ZV@=6(>p<~r0v_nHRpa|fxoTo<pG-f!UB)mL0~6rpexXg=$RNAhYzIi
zy~2Kn<}**2WZ(;KA3@$=7o%KaP$G59pha>aaN@Rdu@vF76ulMrn!~#@#NgR>EsOxP
z<EKhX3E=zXasW6*=)XHClnrCI)}FUH0FY9v)OR#M6xM9p0~{{i<GSv@yPv-J{`bE>
zFe}Wq{2%+4%_`D|4IKK+b{cc@!-=qHtEv`4*~RI0dwk5r0002k9g}jm=V`q;nJd~#
z2whcnF`O9A&ovyI`5_*qjYgxf3~t|$zGd5%FO9wnh#<6v-G3K4gpM&iD%AFvV+jei
z^I(|wdSMiZ`uywx@1wAF`(^{uYxSaRBFo$BGd^+8nV@3Qkil~VFR6Gguwj2Yfc5HE
zTL9bpLk6B(dC7AQ@fW}T^{?I0_g$!&h0$-$j|=m^q9_BxC>=%zT(4qVkFH^C0azHX
zJ!;t%&xOv%-JH>#jYi#t6W}96bzl5*uz{j4oJ99);us{5#LGlt@WRZJBIU^&=8&Y&
zAnWI?Y<d$C>oQoa@`*Vp5xJPil5C<KC1HG27yy_0j)^Rc2#Wq>f8*rIlb)2^RoL~q
z1#NrXp~bsK4P)GZ0{BW5PAv}ym_%6_<D|3oWv=VO&>ejrwpJ>q=7pp4i<<#V70hq>
z82diPKCCTp|IRQwxXG1ZS(CO`a3&MOZiX13+_|Y9>8PL-9t@W~@63yAwY8Jr(dkB`
z(Wv+PXRXEsaKU?P&&RPtxl!YgZ=?Q7eg-PILu7P9Yg$>7wOS_!CQozhb)zcnsK!OV
zm5DGzbLfOZ@L@*pyVY)OrlgdzQmfUnQcHyxhY{4ZwQ>|<9DeZApZ>J_@9xEdS*5*c
z*bLqeo$9u*6+E!Kyj%lQzCKlCmpfGtd$ntHmD7XhQ@?*|19R9wHrj_SL$@OY-cv+E
zsNe{TcNeVAu|gNcEQ)j{b|})F(om1dLiK|GD8993aL)}LW!t{ICBLd(D(Tkd%`H_f
z)vwBLk-lv!Cv-h-)IwRDo-WF;){inPS*d^F8Ke~0igTfguUf;dTbagqy5hQc?Nxym
zoGUvh5$v@vZh3h0`bNjHC^lNI*YOBm8Lr(!^bqbp5F7=7)DzjwLhA*AQipk~?gfR3
ziHUpV^R%PA%1+*#e>=j~GU-_$GdWcR+wvgwEE|ebGPS_!5q@^s=+7V=eIG*i*Dkn)
zvy>lwyi2*}Uxkw>gtK%5R##V7DNYQ1<eG7>_CRS5eIKZK<JTO~MuO?8`Gc)pjZWWD
z?h5c}`lhLAWSS5+e8E6fFXZ@%%*!U)tzIjNSnW*=GEYy=yjaT2_%uyZxR}D)p@$3W
zX*ya-Q&>+CLQLO${4w+_^a6zPSmRl*{>(zYps^#=q|B0s%=9kK^vWgR3HE%r$Sc2W
zlbhRZqWUlwczr2QRg-|4)JI<o78h?#J1@fo00ZOM|BoD{RB#N{s8vW8mo{%|*2lJe
zfqAD4@JpGdUNguu%a1O!!_ZQN)xhm!TIxNvrwhbMD8;yjqPrm_0C4GPUr!y{>ig~M
zw<~AgKgz$InDhPXY8f3*k3(NZIa0D$e;8epRD=JiFz7$=yjE-5D%I<eWovD^o{14i
z;om}NTcPmFvTP~O=?!uS-GQF4wM69!Ccn|)Hp%754Qdb2cfb_eoEF{y3)5QB4sPtU
z+zcmV$x&9puT=bk)Q;y_)tcq{PioV&G^ct+bE4{G@dq2%l<O5mxVF!Ds^;7AI^}t`
zGyzO$d!BMM#@bO2nWn~=P_21`D9xpLC-;|JE7IUv5sJx$Xo++nzE5_e<LEgi3y>jL
zHmSsrm{iZwNZ0t!p!i4dq~}F0W*K>WmHo~(9!%vzM<Y~io_w<g_AiYPGVk^K{&sW#
zU4>TAedr<dd|ygpodb6I2^huPVJ?EXndItZia}tEIU;PA>BY7Z;ECdO5RB4p?9aLY
zsm?lbCC)hASkW}kl@^p)Ta9E+S1uGk&?J;guz&l>X6XwI;t<l*+4|>nwEWfd{bJfK
zsmMe|HHRtJQH<GJP|4$W`u{G4AgWw$G|FW~gpkcnrx}Ba$8Um<6UJoC^E|I686%GK
zwz*MrkINma!|=`M>FBxWY>fiyjVv&4WVi3tV%&`gGhWP>CW9upgG`H!R*JF*FA9oT
zub0(H#CbE4UKwxf3rIsZWeU-)Cr32`^*4-8qtR%rG#U-Vh`S8E{@l59@E2pJ^U|eA
z;JAzLaI}WC(*L1-x%?UYS*Dvlo8<Crnfp6n!zg3i6(2g1T^%2R-CRq}(*<ygHce5e
z*W<WeF9_3cX1m?lk0kKl1pC-DRn7N2zotwRTh@u`Js*W5Dgq{VDq$2BWv3cWdpHmV
zQ6&h+%wwmRSvmO$3PbyuNGKzsnVk;Y=dBIPGwRvszb2t?&gz@7%8i<#G)s&6@S1rm
zNd`9Jk($VKSNsUbvN-vD_8b6Axz<{9iUA1Y;5wy};{xMk-NQ>byO=m5adudj1ICmq
z0L3ZBKmqewv50Z8SmREKeHeM7*E>-SU5ZYize68KOsotswBm4gc~Js#x!27j1Mn;i
z^pSnj1CU1;#)WYXqlY;eCRqlk!0r&@mPXhYvn-S<VRCC;ghpoBi^k?561*eL(qd2f
zXPPVifygrWk|QNJ+UDG_qyPp=2ZCR@?J|Q-e{4}{rOLn)c51e4x&BZNz%dSlY3kW-
zch)g7WQ%`@O-)R9yzb%m0qmx>?YX7M;as||3m}a^X?#tm5lxoI+~jb9(Yf5<lJT>g
z`!-{v&*okwbxh&CDM8~yUrwG;ccJG_q_9B@TX5n5qZn8!quwfEhAI0K1n(9oI*-Eh
zwcy0#dY9&cP}|ZjrM9IXrj)wcvMCYwza@Eu3$1LM7N{reP1LsZE=@dYTUv8Ln5zXR
zCD(N+6<lk}rXJC|_N=d?&Zyhb<C8$SiJyp&TQjMj3K0v$R0xTa0<Jp)qOch9>-g*q
zH{4(tHwebb<Rsxtz`|P)ztJ#m<c!x_KZRGMX-Z9#ri2i|$jl63f)FAp{VJx+@ZuvR
zuBB?-2D}diXaOyuThW8)&(Z4;f?+SqhVcc0i)K{;PD%=0HqM2Xakm*dgEy4`xRGHp
z%*Dop2R|Of&nB~N4XP<ZNjylh#CYbNhIt+qqbypDIlV@P`7i>3TRZY$-Yw>?qYQ6y
zg1~XKs*U*)3t^4ccU^V$VT>8xv9y#AgqZStLrh6)J3LSP4?mxRk{wG27LV&)rmd)u
zX0_UEHZ`cYH5rY5b@b>_$vGJ#oHN1~DPb7I+rPRn|E?ST+|jC5D;&eIc7nix^V)HO
zz_EnD(jTj-ZQCt5B@Ex25`361E$zSz<HJ{9wQI}2<mHn@!R;L7Berffo7Ji*1+|qK
zwI<_uY;25hE{_VpjL=0+80X|Xp_|yx-5$rBo5uuTHoE-?X46i7x?zr>=c2#u{|9?h
zR3`&VWHbkg6-Wm|%bwpaLeMg*5y`^xbXW-P>_N;J_F@K@)&x*Wn@vios8YZz_SStI
z5Cg4>$CjcByK04LYUYDKoF8Va$$&9ZZ8Ji!?_)w(Tp^4BYu=xETU8Y()5PNoSVq>$
zHI$<((KFDC(A&{(5o(78o6<MTtVRM=5pX&6-uQ763mUVCwV=QomF&|~1ldH~%Cded
z%~XBml778qBnmSz1R+{u-2lTV6bWewrRC|a{0kUU49w<YV(ZpRF4?+uLU5Y_4hQ{x
z`}%|MU6<vHj#Sch_w7G+Z2vyjl}b8``DH(Id|zwLwRQt-V!<T__yz!2TwoJ}@?9SX
z)V}XL)SftiHcjylG)h`D>>3}UR4Yz*#xXz~@1$HQMz^^f^KB5~`GrFaFu8T>HjKAz
zy_H~~2N&k?=nFQ0atZ}47$X#$ezj_=Lq0urwd$JylrScAq2MS0n-=`HCv2MPUckhS
z)`zA|_}Zt@K6E|02ffh3a1gp?Z27dBB4C9c4N6SdMvTKMgb2w9qOmO+6bBsaL?*Fx
zEAZ0|!bO5_Ouas!N)n;>MQxfwDmtjwq2Va>v~s(;#pzCh6<l1#J|m_{n2*Z>L+lMQ
z^R;cyvWl(ywiD!Us8)S#SF&t70hC#8kVd;-mb=()x62rO)ARwC+pIP*aq!(<K@Xv`
zUsKVLWa5aPY7NDcYY$;0{nwO{D0$qpeZqy@dSGd*<bwL`>5|XnOi)4J00d`~-|`WP
zs?(BlB}TU<;apBvqc3@!`gtWa4R%j5GBZP|B!md!Xm>`xh$cs1CX08_9&|N2g6>B5
zqrXC^JsdP>bd^)<?h?f;h?;<ilB9!kx=2@wC^!+A|8=(pA@VJ{K_LW#WfZcs!nsAb
zIiI}LF(Ogd_U7Q~wc?suD?6&!OMPZ}?;I$74^*{Mx>|LV0-S9((`cgZM!2o}N|#bO
z$Idp9tku!}WHJXPW!GBC1RD_lqAeL?IwDaRi*<cuuOhr~V*58I4WASA-N2WoQ&T^G
z-&{Z+L|+!V=S)FvV7b^#V#H(TEX%UAmkzoB29u%l;v{V)-l&*r&VF59+UsZQeZ3^j
zn&P0gBEH)*6TpR}j8Q2T!^JAcz<^)~aY8BKFA~IV3-=dM_VIuL=GCGUufT(kM#Yep
zFgV5-bHk9*Ft`Pr696ETF-{2AmsJCR8N>IykTW>l1m`w44kZjNh^&48So;aYQ>Gus
z`nl2dgghw_s{b<Ktm&sOcIWxxxDJ4>O$U>h>glu>Ns(`fgmbXCu@4AZq)$o4+T8=^
z&^ys5(N7U-UqHdAK!njS($d(Rq`^?s&Eq6V2PEM)7iGU{(q3BZX00(RL`UXxk+y;~
zMbP@5EC%b%!Xu_7lz-WTVF_yg^|S&Ji7eg>aEX<uPaJ});<@_vUbueC7AzSlcp6i^
zg@Xly@R?GJOQ^(i7l-6Ihr<Kq*8#ya)jC13@ncLoo@baeV$L<5VKVAyKVaaIl=lkW
zvgP{bxG=Ej%wA!@9U(BS^0O_GvWA2ujdF1>VO>I~&j=*JvG{X5(`3wX{2MebF~{}Y
zS{BQ_i|G(LLQj;VIG6Wri?;oHUS2yr9q??zh4m?m3!<CN`T1s3sb0qwH(SCmgf(5R
z094A;4+Uvlm7x#6Gw2MuFul*pO7WO@*y<&+E{>+}nvzu;hiA|U^ysw35&4*ic+Vhc
zye_=ue|$!poJr@HvgJMc<TSCZl$cblD_JI}g`!Kl(XvI~KKcCgVp&2rap+7zy8up=
z$)@wQ@;1R>w|FKsCoNL-cAI>D5#EiCqLb*wyh`cYQ=CaO)sgvNqvK?l2gOtY)5vhp
zAEZhxG|YI4|3;ouLiz3M`S1!MHndXU^r49&f<;VX!%M2;3hfs#<C%A=yznrt-8_ud
zV`Lft#AF-(BJHN}ZL||zfsUaE?0A6GAIZl)Ljq8X7)VbOKx)x*=0WJnh(faBjD+|t
zG~4gb;xNSHo(Jn)uIG)fMTZ_9+Q(~64>7V&sZU`wD!r#qojMg_96lLA_~b=LbdAN7
z>9v}R<FUKrK!*Z#OX-xkQO7IqGop{p4^d`C-l*Hrg9zm#w+;FqZOjgnQN6IAjcPL|
z=KrvA;DWeMXXJq|8c_f<T@0tY6GUO}Ts0^fT}<F!pqci$ROg%yL1NJeZ0*2E_Se2J
z;k(M2-<=j7m(-?tdiiykrbdoaUc7?n-=(_|leJF^l-4R>xTrc&$=xNd{ies2<Ga(q
zKh;3H|NCSaJs<sF((wZSf>CqHMjpI}cZj-VV-lwEhDNhuo4!nBX+o=Td_V8!O)f<|
z&(pL2MozN01w-Ljq;G|<{e!z0hw}<Ry)?ph=zm3~x%23y&>ejQy7w9kJNqKRp1x0(
z&`s#hxGFxbZz>~D_*7~C20EWIDZ_s{q<z9Jrpz*9zaFRaFGF`~ESvz^Qps<I+Fr_s
zTb+~UX^wv$&$9YB7Q*nGaoqF`A@KP0<8SkJjuA38)-o6)hT|B7F{3s1mY@GEM9b(2
z^nG|bT!25~X?zm@J^nK3lDo-&QA}g{TKZ!au<h&wdk;UvAL5@EHE~R=i;o*k<7(px
z<AU*hQ<}TYr<?DPRNf-rX!Wh@t(REmtsmPBd%u0k{)ie^XVo9|N&Q*p&z&E;)9%Z>
zruUD&;lH|YET{z+inGOsiXRE*!>>n^(FaPy(i_Y7R^}_eto~Q6Q#)Jx{8)EvWBju5
ze{a30_4CQylizQz#m(eUvfeQ|H+L>fJvPm!SEm1KCYZT#W@Gm0bCYwwoWFPeT?>l~
zUrhfzli4HL&%3L=p!b)3*?(d%J2*8=hhNQa&Og8S#HP~b>o>1&vA5j2<+EE~v~BOU
zKW=~Kj?RwX?)>zwm0e%ly?^%y_H5tt*L!}u_vGF$?(6KY?SJS%?ZBItHZT3x!L0{R
zA3S?V9{S?p2QJ~4?4i~ErDM9|WoLKi#V&8xh3@k1TRo#a4|@~6|N9R2z3V?aP(Sd0
z@cxiFTt572<n(BA%o=x(znOSCd2{O1^!4a$tT*;G{$I8y=Tlo!-_ut!wVB)5^SS2S
z&-{l%Y2l%H2H0Y(!2keua1H|igPp+gfQzN<94KNRxvoX{8(55={R2zb#>asboaFkz
zO19EJu#Sy9mh1O%up*2_%YmS4^KHN&%)bE_YmC4^5w*sX=0&%G#UzZHfhBld_Xbul
z>}nZUiQBj~u#Us7OLuxbYm7jnGPS6gla4A#5f+WMl%iLrX7W+{-_txOZ6~8l5s3uc
zUSCNl;PZ#X(RIyPZ)+<RVRy*wKbF?oa!Ng(q%w7Mx}xs5D(p_4TKQqrDQm&bq|#a(
zjUN+x`3tQ-EybLS9dSfKIa*lCn#o6Pk%=o)I8uwKnGjm3d@iHiXSJ<SnfiD~g&S=t
zPwo1s(1^lBBdB2xiG!kmL=Z;Mh>di)=X#N(m?2LTdy<0+e|?9{_Wp1cM2HZ;jTav!
zgb3inPYA)$eP(C3BukIt&bSHT#?LX*XfzfMrFig=Joaq#=DUe6O~9EopW3Uey9Dy^
z0yY^^M-UbqCC;&sNw5dMpY)a&n?n-g2o8b*>LSX0fwff*H(!uB-cN2KaFD;<h+>jJ
fpiwCD<jA0L#}oV19G4T0$1mvA?icaP00RI3hDXpZ

literal 0
HcmV?d00001

diff --git a/docs/deps/font-awesome-6.5.2/webfonts/fa-solid-900.ttf b/docs/deps/font-awesome-6.5.2/webfonts/fa-solid-900.ttf
new file mode 100644
index 0000000000000000000000000000000000000000..bb2a8695653cd2839e3e52266c124c5dba1ca995
GIT binary patch
literal 420332
zcmeFae|**R|Nnn~{CJ*iwR3h>TdTI#*49}++4{9ga-tMM6hbi+Arzqqr$l)Pi&O}c
z5JCu{7_X3*B!m#Q+7iM!XXnTIp?z-m$K#x}yxy<(`}_U=@%{YsUYF~+-Jg%&zn=H!
z<M}+#0|_E(MFCP&aQfJz`&@M8#bb#?H-uJPa@9rCE`Mp-PeeJRiAFtl+0<E=N-^j}
zqU)>4c`|Rx<clVC*V`5#?P@S!3Ig=#l!sy0f#NAw&6pYc-19EVLz?W3Q?I$?qKxjr
z@kAFk;&{_l7tNgJED(zjpNjMaS6_71<iASwo8)T0gGl{8?V9UmoRz=pAi4536P?<b
z&{pL*6iu0#d11zoD7BWzMzpi+qdSt?)X?;ryjy&N<5ZHI1Aq7wpESKjBm;<Vkas7-
zO(cIf(>cVMF7Bgj6Uh0*5vjCPY92WV9xX0K?8t;hsRPYJ$&{u{PW}+yW|L^xIb%=7
z_!c%b**2hUr*ImRaF}=rT7bg<)Zf$~s$u)76(5U0(;*ytag5}!{Y?kJA%q_^%Hb{H
zJe;2M`N_+pldxI$nKF~<t2yp(`TbO2>gRBd_qR|#>f~@k(;;cw(PYXGG#%i&49Fub
z1<(Q+Fr$7*Qqy0}@f>F2n)YEvfJw8@gi#_tmubQ&i_@Szg$&BbNY;g8ug#w<2g>;q
zWtu)zC(83D`hw%;F$>r*)Z<6L3X<ira^52p@dzuBe#8ZA9L8XO(l%vsxS!+D4k+g6
zh%qy11Bv{s)h+B~I3>%5BFwY_^C|tX8A|4BYO-;ZZ^Ahaa6e2vep0+<I88E7(r#8B
zC*(=i^KWC>GCsiN+j%#6Y`#{ByalFAPD7?VVaKm2ZqgzQ<5R#ir}LY1ygm-YYpOa?
zPr$_6wk2)kN%YNXGMvo%>tM?EV>|-QV?(CRNN39B^!`NoMw7>hx-g&IAFOF!*F3%{
z$^40S+V=cCZ}J$$B-%id!vcQ??c_21w{T8p<C1HW%SrYX={sUg9prp`zS%kwYaQtj
zE|X<)eq(dEjkCvo$~AQa5bjT;N!or&MO<^cL^aOU07;A)#*)`pa^C-@NMquN26LV4
zlWbZu&z(&D_FQlu(H2{87t>C*lMrnGe<08zUCT9N?ZbU;nU2fCu^C6}H`sS%@LFgl
znV!=cFz<n+ZB+2sm~l1n2qVC0cutZwAODwNo|565mf>UKbq~Mh=e0&2=|>n7FmXmP
z4=wVVHE#2hNt?xeFy--a0@E)Zlfz-~k>)sE`V;ArYSZv}<K?*Im~dXR4y%zqV8cxq
zA9EZuF{VcxC)aDToR-RUpg$1~lm0|Gfg?3pFRQT;Z`zSamyG9eG2wplC)55XZEgdX
zl_;k<jISSL>oR3m!{#-NdBNP`T(y0*X%fDP=Z*2(coWBd-hafHoA#Tz#M(hQS*H9z
z;u=U?Poj_2h{tiVO&o5<2w|pdvhg<m;Xc^7WSXR!cJFVF3m`l|ZT>!oC|@V*OVrg0
zd4#E>I$4&<OVW=B^wmJH$&Pt*7>@(Of!%LZ!_OcOFuo9Dj(Ja%6+nKr6Jv#WOkU%U
zSobKaAlW{)fgi^lR>0#7nvauxOV(q`C-`wfJuL~CddbB56YcR+TO1qTWWq7;RNW$<
zpGvq4F59jN>pRTaNbYA4-&~L1>{HA!%1gzr&(_Cj{MP0*XsAvcL#5xA!EI;;VHo3s
z<``>|^Ppa%#^$zJQlN}IrbJl*j1x$<4Q28Ek@sPVvJThTB8|PqRGYeBBYmK`JZ_K4
zZ_@j1cynIl5hfoLdHy?+d6LTcfN5*OHe;BGx9bvRn&U*-#&;s0O@npM>mqp!+l2cO
z&jgGXux-*n*|upg9@U97WW&&Qvu0V5royB%YoIwDuR$)C#~AzVgdYhc;-Ss`;B<e3
z^I~t-WWoc9HWBANJijQ@j$!rTIZX5k{WLy-ug$g(i87LPCi=*2<n~MHPoyKOiFlir
z68lGv3t+!yG?AXi(fC42Z?20F=1-IpfWqc_{*Eb!TJ#Mzhnc#Knm#0tt&box?k#<C
za!-f6>^lv-j_q}q%kd-3Z_4JmuyrJ_%ZN|5qh;MD3~3LK1N<8wbAG>7*k)dn%Hd|s
z1)9rj-ba`?N`|u!Hnv%}N7V1Pb#lGHj9H>xe2wO|rkOTyet)98K#OZ!z~)cJ{jI%(
zYf@8lpE#{eUm*R7vXUCG<(qi6TS91mfPHs!KWscD$_VgXH~R&XE-}71_S-U>HDJn3
z-XCCpYSW;7nJve}*qk>&F53=sZO<@cU2VdTY#++S`nP*DV<*$t_L%-7JW-apN0NRV
zw<M5=CnytWJ{R4b|36^%NYZceq$QMC6Ll(6XYv?o#)!2ANSnM)ns76R0aK>7Z9#d&
zc}>`1<uLa1$#6bq(02AG#!iHp_6HLClR%<B2}L@yZn0L9=TJJrm?P`rW4|fatjXkB
z<8;Y&lMFM8q)4B*|7m&sZQdUo(MD4r$~sb;8qIOw@8O9)_*;Y<`)~g0-^xp*=kojs
zc<s{RauRJf?J)C*D6_uJ8plDv*4>;3$IWvPASL~W%Q9)O*K1j(*-!ct=L?y#3OJ9g
z%j_G?^Nd8@cJG9A&GoSzK$`+kzYRBO?Qwxg$2NhavQ2i+c|<vWgflo7&6)`$@*s?l
zo6F^J)Bhv)3e9EleKK(x;HM72`fq<CjQwwbuN^pM=t$*y5|}imUQUz5-)vjI7-&&O
zGS1)BX!7x~pE|=Qn7s@4Em3EpO=j%vvnR6UAfLTfaNa;7EI<zOnms?tOI!=!7buY?
znXVeger|tqPEEb$`e@n{u;n%Ph4-RJZ;yGuYum?Z?K(-Ehe*?$Kai-ClKB#GeC%h;
zo+aOu37^ku%B$w|TwbC~giAjNaCkzweqwAMs^+-nbCmsy-<I2=PM9{o$!q4G+iu`J
ze6o)Svt{$OgZr9HW5SUyv7T)Ek(R@O-=?#9ZI~Gwgd?8kv4GPU2x<8^VAI($4)=$T
zlVibZ(jn~;VW>Zm4`XM>GLa7LPVS@ao;v05G4h}s%pX4+Nz9#XgJ~<m@TY+S#nx_r
zFOJxq7eiYS;aIo70#BM(B4L_XNrlvvdeR^|k1nE%=@Obmlj%~rjHb}#bOl{WQ|T(Y
zny#T~G@Y)c>u3gDPdCtwG?Ql0P4px^MbFan^dh}ZZ__svFKAnkSJ0_oP{H7Wl?AH`
zo-KH;V0FRTf^`KO3cD0m7A`8hzwm*=#f1+RE-iek@a@8lUD|ZXFH%LiD7UCvQTL)A
zMLmliD*CMGm!e;belPl?C{)x?)L68y=s?k-;tgG^y1w4^v#wja9_V_|M?T?GKJCl&
zW&1k$3VdCBMZT`S9==|_qkKpE2Kom1j`R6_$NSFno$s6Ao9Mg1ccE{x?^55jzMFhE
z`)>6Gd~<wreYgAO`R?#N;9KH*$oGh^%J+nCh3`q<O5anyr+v@(R{5UwJ?DGg_lj?W
z?;YPp-v_=AeLwkr@%`$H`}X_(D!~m;i7s(U(n?yDv@S_6$tcMzX;ad+B&#I5q+Lm;
zlERX*lHnyMmW(brtz>M;xRSF<&MBEx@?go5lBM1Ib?@KP-7~jmUeDs5V`^MA?wU3=
z!)k7*xwB?j&BHa%)~v2sTk}TE+clrnY_IvLrmnWEc1W$i_RQK#YA>(7s`lpEJ8JK%
zeWZ3(?V8&4wHs?U)qYv~RqZ#mzt=X@#%d4kOxxLIXYZZI?!0T~@||z&e0%2yJO8zF
z%g)_9f7_M6>!n?<?26V6sT)x@s%~oCb#*t^-CS2$x47=9x)<u!)V*4_x$eih-F3g!
z{a*J+y{hk8e{}un_2cWWsh?3lzy7}ZhwC4$f1>`m`j_h0?w+~(rl1U}pc8ZjJ;AoY
ztYCJqU9dy2V=y<E7wi<w4-O6bgTsR(f+q$~3!WdG5S$piAb4r;vfz~9<-x0iw*~{j
zJA?Cs3xanA{}H@9cyDk~@WJ4c;L_l-;A6ojf-8bA244wo34R{@F<2Aa6|4)^2X_bm
z2u6a@U@RC99tx#|QbVmn=^;-jGt?%O70M3fg*t`uLtR2ep^{LyQ1?)e&{3iOp~0b{
zp%X(RL#Ktth0Y3{8@eDgIW#kLduT!E-cV)efzX4YC84FEheD5rUJR`Xy&QTq^mgdu
z(3a5l(6^!QLf?me4DAl>4aGw7(7w?A(4nvhr-WOF^TWNv1HyyCCxuTApB5eyo*14Q
zzA-#Ad{g-5@a^Hd!wbXrgzpV63f~`oF#K?MdHAvL%J8c2>)|)TZ-(Crza3s5-VlB#
zTpfNt{Lk=~@R#9j;T_@n@Xz62!@q~a;aGTI_)vq>klv8jkl)a)p-;oWhVvUHHdHiR
z(lDoCZo~YB%7&*J-feiV;e&>c8$N6Jyy1t2nuhv@-y04z{MFDDaYek5E|KC$*GRv}
zfXLv;kjQb7VUZIeBO)Usr$kPRjERhmjE_u=To}1Ha%tqM$hDCfky(*jBDY26M&?KE
zj@%nr99bH9Eb>I;g~+Rsw<7OE-j8gId>Gjh`7-i-<fq84$nI!bv}d$ev@}{4?H?Tw
z^+$(A7eyb9u82MpeL1=|x-PmQ`a$%Q=$7ag(Ql&PMR!Dhiq=N!qCZD}i~bS)D<)z(
z=8d(Db%=G26~?;8dc;a&<*^~LVX@({k+G9wr^n8SofR7&yC8OP?9$kkv8!U&#Ad{9
zh|P-4j@=fU7rQIAB=$(`iP$r-XJaqK-iW;&dnZ;M+Zfvv`z-c(?913!v2SAE#(s?L
zitUc=iTxf6$M(k##wng2_r$Z~Ir02>mw5Mh&-l^tW8?n#3GtEfQ{!XfXUETvUl_kU
zJ~ciqeqH>Q_?-B>_=5Pt_~Q7I`0{vFd`0}}`1A1><FCixif@Ql$KQ{C5dT+vOMGkm
zi}-i(-SNHgKjRJYXgnT2&?p;I8e28CZcJ}<H+mb}G`4GO-`J_KN8{0rLmN+S9Njpk
zactuSjh8fD)i|s1md3e_^BWg6E^U0TadYE0jo&ubH~!h!)YJs;T}VaLgGy=0|9a{F
zi(c9>Ui!G2b8GIXS^8gi>0R*BgO2dh^Wdc){%^c=;lFw5Pn*5;%Ly+%(s=0`>TXJS
z=~Z<v!ArkZx23M8ZV!9ux<Bhv>PzbT)Spp*Uj6j?8|v?>UsS)mzN-G&W-m?f(i&bm
zCFo6f>6{i`x)5G^nDNphgJTk2x+3AFuLw?qm%hD)m%b-h8GIn&rI!b*;H94ot_fBL
zw+6q4m)@E1(mw}-2`}9kB6#UEcxiXYoAA=@jh8Nfmo83t>7Jp|P<iOskRM)pRA>ym
z^x2{FLlvRxLvurS7%#o3*-I}EJ#W19E1`9v>d>dnUV2BUCiJWE(v9%a2f`HA;a1_C
zaACM_cwpEMFMTS!^cnEd)8VCO9pR-bo4xd-;i~X6;kEzfrQd^>{wTZ^Ui$lHFC7X;
zjhB`UY0X}`ykWfY(ia;qeW&r#?<BnRr!Bnn{=a$YKJe0m{)3mE055$Jy!4dFG<fM7
z;iYel%!$l{m%b-b8ClZorPoC^M5>LK{uEyN>&TChosr#<{n2cA>E7_tec+|b;iZp{
zJ`jC8x-$A)^wsF=(YK=SMn8&v8r_=k(m%HF(g*+MrHf<TV@JVDA9IA49t$r$5ng&y
z?DA$WJu`MQy!4#de0b?)v8sfZem&u(|M@pB{X=Z0@zQ%^LH5$Irg&?3>8ym8?glS?
zRQ#A`FMS5Q^m*|M;H9sOUlYGJK06+W-yXjcUity!r5}fvUKxKj{zCk<_?z(3@4`!O
zjDH;8Y`pY0@jBzB!^TVRhnIGmy>te=bhh!*CI6+DzPWKu<2>V~tB>^3O*KtFHGSXo
zP19HK*Z=$Xe`y2?dKPpoDC`{V{A1^>ovS;)+xg|rFLhqk`RUG25_O*6c~0kBJNN0_
zvvar3Ih|8F%lxMNaQ?6PwfW!Vf0Dm3|IPeY@?Xk-Dt~4Ellk}N-<3Z<KahVz{)PEx
z<)7H;K&M|ieb#Anr+;>Ox6_7BPj_0;X<A-Q-cNat=ADywdfsVyJ@dNe73CG?x$|1(
z?$2$^jps&lBe@N^;oMMekSO=h+`YNK<^GbpC->*v-MRI-b-BB8cjngQew+JM?&rCl
zTz4kkP|BPS?##RcpYy=&JcyZdKp^v0e9kt<H)YN;dSm7d2)iE4$h<D|+RSMt^lBVm
zl{q!@%1qql!Jd*iIdc;9lFW-U&&nK^IVSV;%+ojqVW(uCoUle_o`~ZSV0h*UiLhgF
zG$ivFd=3VKz`)G%%mJDGGW){rlUat((#)eXkIL+v*)G$(wUp`3Oh;(z%vPDH-UHtK
zxOLv=je0}gKfLv@>%cDWPVZ0NuVLXl@ow{e>HXaMnRlc2eeVYEdhhE9dlkIwebW0l
z^f7LW_g-)hxZ50IRJ?P%0q?Ee>tIa>=(+bA6E_vs6z^sDtniNap5r~sJJvhKdzyE&
zca(R8_jqq#Zy#@W#O7uk%s7y-F9UCZ;c?{G8Cx>m%2<){M8;zok7O*%Semgg;~yD!
zX55y68ZxG3T#<26#+Z!LVIQ9{EaSM0p&3Imj>#CDF(_kTM*oby8GSNJGkRro&*+v>
zl2M#dlu?*bkdcqn9Wy#)w9m-S$jWG&(Ix{U<2mHn=ZSh6JYi4B6ZHJ*+3l(G?DW(i
z=3o4ln&%y`0jvjad*1TA=~?G_-Se7ft>;zGE1s7<YdkM`p7%WKS><`g^R#EBXNBi+
z&!e77&pn>IJps?Ho>`t5p6fi*Jy(0K^i1|#?76@*!E>Hxyl0$etmjP67|&?WNuE)j
z6Fnn5!##e_ah{=`V?D=s273m2dU<+!N<3XWg`Rv*J5O6rrpN2?cv^cLkM<~!^au~R
z|8nnlH@f5Qh&$~5&Hbx;kNZdW5AN;mZ`_}|x41ucZ*qU=e%t+~`wjP6_e<{8?&sXk
zxSw(_cR%8O$i2*6>Au%}k9(o}F8A&3x$axsH@k0g&vM`BzQH}seYJb4`%3o}?#tbm
zx+l9Qxi4{F=sw$hhWm8)sqWG4Q`{%HPjC<8xgv58aUbIz>>lVYclUMoaQoct-EMcf
zJI$Sv{#W|G^k8~@dR=;LdQJK_>0hKjmtK{=B>h1=UJj(2H|%T~c>b~G|NTFg-*vpJ
z!qwijz%|a5<-F*sacW%c@UIpA4R#f~y19nCI=Uh$+Lh<J*jewq<GkgpcioDAcRF7<
z%o^7khjR^ac02bw_q$d)H#iHNxz0={;9Tn(<MKJz;@{cMudZvIhn-0%<2<CRbhbMS
zT&rDG&N?vLwb-@XwZt{UHQRLq{>^q>?JPmro1M+Bqg;LP&xe+Db6n0kXO;7`v(h!h
zgdc_QE~w#ZXT6TON*$l$cUG8x%bY5d@EHD$c1}jUGo78Tp(x`hr@brB+3PBGb#!7*
zDoWJO0LSI>qO}2MrSq$^TR*K=;@=8qj}z3Vp^x+Q66aQZnjWnO>H&JL9-`Ny9ShOR
znJ9Ug{#6@4m7Iqo)!BUH@&BJkYTN&l+BDu1RWEW%T?Gb$75Zs>b~Is?u-fT1Y^&E5
zycrbUQ}ttu|8y&jr*O*nW<FMH)wQg!-m;qf)c319)j#-1_fuaeypIaYk94byHAG#(
zrKmo9q~PJ@cVHtQ**}|Cnl?0t?N>3j)tSi<*e&|4Zo=`XWE{6l-kCf)tR|JY79n*2
zY?8b2ITPG~9LLMy_=E?uf9g_%qkZaPP$6gFa{|YxL<u(4-#=x=;Sjl8E<b$q?-tjP
z{FA1C$)o>CWpiJXDW$n0B#&CEZG*t-6}ZL<)G16qTBiA5n;xTo(8K><#z7>{5rIeU
z3eT|}a#1F=p|+HTccR--4z<Ud&K)V2@~9K#Q)eo`bCE81GE$6Z*gh(uZqyx5NqSN*
z>P<({(R3d@Chiss#XaJF@qkz&mWhYNV`7C^EnW~Wig(06#YXXg_)vT#Hi?hLCt|bs
zRBRQWi!a32;v2DDd@Ftsbz+bBL;NXXA}*y&lR2`3>?FI&qh+b=Bg^GLIY=HWkCP+h
ziE^YoS)L+C%TwhU@=Q5So-NOn)8&nFmYgkblk?;q@=iHlE|7Q0f5^M#{qh0%uzW;5
zAy>&4<OW$SKaiW{7Wtk0LGF@uvR>|%Kg&Jx7x}CFP41Py%Rgk35=tvarKoh}Rvwk1
za#RP^QI)9fs)y>Sda0w-U^PS?tA;ASI$n)ZXR5JkoH|RLt<F*BstZ(wx=3BArmO4K
zEOoP*t!`1bs@v2Z>Tb16J+F4Coobh=Q}t@M`dRH!zpIeW))(tb^c=lJFVj`<_s{58
z^qYF4{y=ZipXe?63;n&W(|dKJZgM=hs&sRXcKYEuF^I6^Au7$Yt3eBBVFI>`Kv%$D
zg!BMCfdfhbcAJy}hJf=xCb%d;J1BgKAqRR%g7#4O8AAu?<OCg|>>-$3fZd^i+chOY
zC+Ot~uyeyVAC}J0D-#qzvA;BMKdws91qzQ~;6CwAlqm*$tz)>K*r^(PQ1<yu3BVrH
z&<zUjXuuv7-?LbFY~WW7JVrMr=mmw(HS~t^T>*0xfFCy;4Smug?|?pKk@KO?TI3e!
z^A>p`^hJyEKwr1WYUtY*ITHGfMLYnFThtz+g0>d%0~F)S$TOfAUq<4(Q-HZ;<jK&%
z7I_MErA0mgU1i~`PXXG=$h)A=S@>F4u-YQ$LDyPz9dw<=835g2kqfZ&Fi(tfLn|%f
zYv>}2*bcqlBGA7=^o<eULKj>3x><<bB%{Vcms-@h(6=lS>$ebN#fZnC8!fV&s7o6Q
zk53n@Ge(7QDkzH_4b>KTDirILQ5=T#!AR6q)ZHRBL$N*>@hKGRgVEX0hb-a+=w}xG
zRZ7t>7O@HXt3{xVMZa6b$Iw44;-64%A5h0b8!XC!Hd@4o(0vy15%hpXEP)=f$VYHG
zU@jQ745vetMRtN>jWOZ_DB8)$anP+6@eUMaGA8{&*nn+5l^FRjR9IvV6ywP_{h$~-
zM&miUFViAtLor5-g93b97LaMs0*l@Y#d={JjJvPM;^4gSb+u^p!-uhFG{(@^%c5U_
z9%a#QLUA548sqO9XwlC=2U+CV(Bmw!9_qKqT~LfWBkQ2&S=7zY^DXLD=md+p4LZ@H
zW<f8o@LtPzp+(&Sooo?zLoc<+AE4J-B-V`YCX2DTK45IF5AeG61uTl&HpilVhR(I9
z-O$@Diu*FpqIN>>uqf^?&ND_%hhp6@`0)t&9<m6m8Q&uo&GqoO1Htt^VUc~HD=cyk
z^ht}vdiSlgNUV3?Qx@K{`kuDP-=I7nKyv$6StPH4XDt%vhwnKHuTS6e7Gv{#1Bvs-
zx4|MmfWBi<*F!g2%$nplpud2AXwf*Id_P%aS17j|Xq=}$Za3h&0AJkV@S56h(OaN@
zSrpn?LKfKpDlNv=uz|51*nrQ4k~E7%nI)|(`g>?=i%Nl}TNG=Ch3^$ga85D$5@;KX
zz8KopBJPJ~S&WTyt_1M4qoke1*qvYlzMCp3v}lY`NtuQB1|`ESY6$d1i?K(;2Bw_T
zU<1DIDj93R4w6bRXN<AWf(;03tmGVvu_wU>d|s41Xu&R&O0XUo_S+>(EquM}-p`^g
zg7&wl3T$QE7QROG%(bXHpm`Q!7sCd;etM3vh=oKo=w}V;<b6;L%3-Jv6l2R!UnqP<
z%`n)gzvf(U1MG4r>ZrLBHu_eBcGlp$A@r~2VGD6utY?PzRW++EbUt*gg(g7Xu+T*4
z+ZKW^srk%;y&ctTw-EeF4c09~70_Lv4mQT57IVk&9<3I6YB6tw@vZe+c>h&<riJ%k
zwVV#{{;QUc0q?(Rud?votM+CK@4ss20rZ*oUbXjGc)wMP{?<N%@afQ17T#mkuCeeQ
zt9HGG_gS?YExgC7-DKf?R_&J--ec8%W#K(m?Kc+QW7Ym{A#PWLg=Rxz7P<v`$U^X&
zJJT$58?+E~K|2G`-WHk*J=Q|EL+`Q>`nq$uh0y1nm?MTT-#al!49$mrV4(%je_4pj
z_!PiT;Qowu?zRxt+s@xCbPv(4d<)$ReaV8mDBAThcm;VYp-~Ink004$J{fudI>JJW
zp(DX4gg*$yoH4W%iaB5i>#`1GU3VkwhoBh8I*cDZ0!1ARJqqQr0PZTO?kNjB4#k|-
zy@2p4DB4+vd8MbJuUd%XUjv&F{wx&zuKN-8d(awy{?ixGJplcuZ=t_i=m+Q@7E|w^
zMD+@3kiQ;&u)Zto251R58a|;7v=2BPb}sY`FdjD6dp*vv`fFh0T&>4itjD?&=Rnc-
zdd!tLABwrDzYq3R&_w`iS0G(I=DHqZAZ~?LfhS-Gpy*HibFi^a>R+-5td07$7I6pB
zZmd^EU~TNi*fIk31<~}NguMWYJ~8a`gBmyphu;gjEbNPdDZqnptc{=-w1tg14Q5%C
zADV3un8#o{i^LiW=70`JkNyNZTGTiw#)wfEhhUyXpr64`7Kt?x%(w9VIammWq8!Y7
zkn00{-3ek$gToQN0Xo7WaZUwKwD5H;I1-$OH19#j0E{>9Z-WyoVk>l_MSKpuz#_ha
zR)9;9{%h!E7QPk)r&#z}5WL*N*QVeV;A*7*5jqXr3VRncU=d;H?ch#?WBmkqK7hO*
z%JTu_15m67M#P~!j=;<d&kYcbP@a!_Vef-h0<0Tx0Lu9>KjJUw5)1E>gG()9HFTK;
z%YcGdW5LHzuYgv8Ct&khSYeUJLZ1XLBAola2D}2h4YV3;fz9*J<B0K-#ZVqEjDhq)
zYb<7s?Szf-;QOOsokeq7>Mddqbhkyspg)5@kiHKz2qLftL!%Zo6w2uUeos$99xotQ
zL3xZ0!9I>CgnounV4nz0wWtfAX`nU2PlKjg_*xut0}sN_fO<hD?6FYvnNe3lvn&Gb
z3!(pv_!HV5U`@-jpcr>XU@SxV7I_}D0CYhbti@1~h37hiu?v+ToZHsTLR?RGi@X@x
z!@_%&P)~3a(q96_n1=epz6@FpFisNwB!u}34TU`&>IWDDc^!15Mb3hb0vH2%6Lbu~
z7|1zL?gPNHI0~H&&PDj0P;NKc$me*d0!)T|FZ6ma6ZT^0TyQ&V%x~xpumJYMP)-LF
zmse>~T+bqawJRTkK4{_R0HGxoIRd)WB6&O?vdAZ)Si_-5k#{BZdGI3ar=e>s@;T_s
z7RBT73V0Q1IPE&{HtZLm)!<{;oc2?&1vcVB+bwbf^jnLuzk?0rJJ9bfX8r7d{UgHP
zh1P)Gu-}LN3iiTA9if;-Zie#Q17kPB-UplO-*3UQPYN9XhY<c5Q5aJa#{A1Kp&Ibo
z{tDU(w1$l~hI2qZY_uy}2ztZb1?>w4zz#wOf<dq&P(L^cHrf?F*&>^ur-IYW5}@!H
z*nsc-!)JhruqAY=MP)#zgBua<h0e4nZp$oi6T;cP*`hH1VXP5`f3y+4+oC!^7g~&c
z4{V@1La}xjV^_jn1UnaczlEPAhOvGaJVB=L!xq&Eigm(>FQAWt$B-9e6s`hTJE{Qs
z3|IxbD|9V*9d-%y4U59L7=F{DdO+W@82fG5K=p*Kw-_7iCJa<B=sOl;SHlK;Z4JK%
z-bb3=(0^LgQP7XT7KGy(9o`Bs=c*jK&7yd`zXw=z>KJIfh1YrbXAAquFxDQU;19#U
zTa+If0$5OL7&Hnn|LO$jK8wP67d~WB@Er{p-v-RT8VOAU>99|M=2_I~P>d;~uvQx2
z#~5`6w2wu+2t^+nu>SaYTElp7KJ0POi5A6S6&8NB)^IVn1ZmEL&ap`3Z<uS5gP`zD
z4fBy^0u*b5VL#vSlto<#eFxyYR9rU3oKal%2Ns1o8gPCxY7+EQfOAewhJJ2QQ=mUs
z)aB3`3x6BeP;cRDL<7c|Q8+&u_JaekuY&$%(MzB>#~5`DQN(3Y)1Y1p&u^rQMO_Om
zwy5i%T`jymBN*FAKa?{AI>4fCgkoGGgAqOxI>f@?-bIeH@N=XH=APkaL=ntA!_SB!
zBP{%UDT4WC`1w)<^UbIL^fZf_107>gn3Kp@i@F_(xn$HlDCQ=DIp+J{$b}X)A9@kM
zJg5cGOD*ajP>gj1W2Wwg^0;6O)FLSN6R5>d?&mDnIOikWZot?52)7&U<>!qNZXepE
z9)@x|P^VfB<#K_lg5Cq}h5ZDy5}<7LBoy-$Sqgg<^f8Ni4$A3(Y1<310sFMbs}{8y
zx(>XBaE{*qu>RB<Xf=2r_AAhh7WEqRLkoX%9QhRRx&H<f=RKp|gnkXahmCS0KZ2iN
zb9p<#F4!nHvfE<T#(ttG&Q*naqS>G)>}^o^BZk^QdxKJh{{}6y;CnZU_5uA7{wEac
zilIzsIq)OA0XodW{x*6%!2GDcpbvmY;f7CzJ`PsE#yW_u1kb?6T8LsCqc6j*fW8XW
z!p59O(f=sMPUD=4qMuQWoxTeCF8BcUbm&Lm6WBAM7^^78O5XzA3ci4ixsQHh(Q~2S
zSv1yUbcaRHgJKM$7(<OU8LhQwtdD4&MPp4yf41nmpgcxEV|_;du;{y?2Lbx67ZSyU
zMPoh1FfNR~59+n(N+`yc(HO5-2aCQR+S#Hpez8J}##)ROgRV%Absp;udca-^Jqlp%
z^g~e03!|~NW5<9YurUWQ%n_p>hYq*sD(Fayegb;3MPr^~r&~1Ef9wp4UI`rw&O$j)
zK{1z%#(5E&2rhvAEc9ZFejYjr;C$9N7h;!#D`CF`#auG{oIG}oMZXH2VbNFzu^TM<
zH7MpdhI3qFUBuwCVzXhdgJO;ujWrUR1Lnbg8;bdhVXpMM&?OfAK6Dv)1mXXLa{tk9
z{SovTi~bnOeE|Aj&=)NH+&;#2zk%@0P_6^;bJrNoX-0nrt+wc`P_APm!as*@vgj|N
zoDS%1P>uuoD=5bS{WX-2f&K=XKyQcrtwpo`0I+s7)^%(r*adqB6z4vp5f|HI(LX`=
zg5MEd0}X;OY|gjeqU)gtEt<<{vS01#pP{WmI@13F^;q<8&@7ORaFiX-vFJab`4;^r
zw2MWf&UiP_9qB{Ro)+Bz#Tt$ujqnKc7;r4?7}Rgk`=BRSG};><Y0(Fur&=`H9zO$&
zMc%)lXImVCo(Imy_c#K20k{yhf?jTMkSKm7n2K;0^cpY?b}IB*a2@PcP^`Q7EwC{b
z@c_V@<L`sww*#y_#|ym^EP&kxy3pcajN%V~#RzW)U1D+CLzi2e4$#Lz71DHsuCO?H
z(3Rk6gm;2sZN{I6T>!=UjK2uG2>Kd$9d=jfo8T?jCD08P2jd=p7gQr0z9as=#pwmb
zI*osT@ZQjm0oJ~Q`G{`@TVR(#w_5o7i})87r#}?yGyWaY41m@FtQ}`Cbg#uZ7Ru`Y
zI76Xf&;a{5Xw>2igT^h+@zDJMbL(Kv`3KpIGXjcvYD|HBA{6t%@N=ie))u-Cnr<=S
zZrH#%37P>gKhDWe%njp=hGK3SF(=NcP|OG8oDRiUGtL+&#<8&nY^<-wqb<%^Q1pj!
z&W3Wiz&QuX<pO6sl=B1UT<BPfa~>4yka4gs8!xdq6QEaFoQcp`7KhW`3~oVstldVe
zyT-Y&FNV$o^I=bdF0wdNpi3>z<xtFd<9kSR1$48;nF__+F%H-Ht;M+-T5sWdy2d{(
z&Na{`i!+Tx=r#kXgLs^kYQPVep{)(%q(R*V(&bQ(f!~=E4H*W~gP>jmNe=5^Abeje
z8VU`h%Ah_2;oKJuB?iLxWul?Gft(a*4+EdGqM^5e=UOyyeym@$9@@u1at(BVft=Hz
zrx-{ag7Wcc@F4-{=>}_0fsJu>IPDb%()rLC2Eu)oXt>cp>Yvb=2GU&590Q4;pmPl*
zKZibGAo&z@se$)(qTwL};T}XZJZ2zqFZ6K(NiO>t1BoZ0s|=(LKwmJB<}rN5K&lq{
znt{Y!&}sv}uP1O1#1NiMiH7$L<n)DdAO4AP_!atrf%N&%4-F)E-ZvQt`+w2!F9T^V
z^HT%K8t7I7VV^G=zBG`!6S~bnxYme<uMMPchJI@x>^(%o_Xfh=Ks0b!HN@w;XxM4s
zXMF<qTnz8|MZ+EgX`aL145T$QV&G?Sq9JY|@hpi5;sD{gEF!4}zK)9s)-K@duZVaI
ze619bYy)4TMWnNVG{y?|PYel8bE<)#>k8Z-F@)#3B65a-6#5Z4%RrjT#vB8F4j>|v
z4WuxZ5sU@kYr2R845YEnBbYxx3Vp%-3PZTJ6}Vqv__`n>7$d;XjYZ^PgS8)l{YWBw
zIc!{eOqwTPKY?}*fMVPMze_42SYv?1yHFmlXHnOQ(A5UM-w_d<OMv~Ph+w?|B!Xhj
z_+ALlc0}ZD13zmO5uAsBWLxMv29kMDt^?O6^&_;}U~R0=2-YW_wF=xbG5oAm;J%6B
z=a3?T^$AE`0mb^{`zT|70{at`$z#9Sz|YJD?yVS7JfB+(By*uW_n%?RQAGsn6OiCO
z@_c`d^t>K;K6W6@Z_pnMgy$Xt_hJl*Cg@KFzNUysje#VOWvzjno={#ZJJC)DigSSP
z*>KM*B0&Q`Clry8fz+kYn1KZRL<DOXU?D>f7}$pkTuvDhKSPCq)cH`XbHLAeL=@{B
zka!B(%0S|2XlnyM0~FD81IbNLw}AxO7R@xELTDQUi6@|#OTgbFh-j99@ZEvH{U*cD
zHbu0Zfdtl0G{-=a!`d52J`U|_AW;h~F_82^yBSDhym8OU5bmKww4Z^$Ll?MDWvo3C
z_DH1Rew}0>{RZ@81F4swrx-}T3>|IY`wJ1poB`4wLa|-}@1;d_tbxDJ645ISX6~X_
z!@k<Cjp%gP(~*8J^m+qHtcB=}2EyK0L~k~jbrQV=Heb^(fX+4W_i-Y+z+l#Dl*j!a
zD4+Xrw}J3}g@`URklYG=&_E9Ndx?P*&+STsIme?s-%p_&u4|Qn#0yZI*MQ_F(B};1
ze8hdZ;CplI69n$d8UAia;NG0Ed3j9VK=?Dzbp~_JM&E?}Cc?SBZyQK*zIP4gT#mj6
zo6qY%p<Fl4Q$Ck*AJ5plU%~zgZ5{~y+Q830MRdD?zY`SEZw>tJhlu`SAbgi3qQ4pl
z-zACYegi*$=C76*(#JrtUin^KWBtUWf%FMb_%A?u2o!xb_wQKGF`TP_^iZhFK-v#Y
zGmv@*ig5>|F>W!OJAm|YP^@FV|Ci@Lxg9wO9|Ohu2c*x0b}*1W1Db0fJsb-E2uPm@
z?PMT50$N}ooeAw?AbmO1XCRGpBG%JDdKR>of%IT#Zv#JX5qO5cke&hUYrwA#paTs2
ztVYC+H}H2`0?!Z_(i5R`45Wh4I}QAuf{0-*0pa^-5xd7g67v?TH1M+>5nE&+$z!<0
zKoaL>Y^j0p>_y<7ogw)m6z3iwydNcE%MFD4N)da)KzJ`j#8wzc{s?{Az|TWO>^TD|
ztdZFB1`=3bvDF5C?k8}+&yY@qt}zgmL2+FJB)@^KHSj)P;F$nJIs>}FKu$Rn>m2a!
zK1A$211X-1%?6SUP^@!6n&)$?fi#!#g@MHH&{_jYp3_|h5|2QCGmyR%y4OH@GL*+6
zh;z0F^nii%WB4k$#$bG79AyG)?}W|Qpm9)?53F4WyDnkZ!^Zv!&uj(m?HFtS4EyJV
zjq@$OCt+iJ<G&>AUt#~6u+irDZ`R)DhHJxl!F!K=9)q>p!ET2%P0)@8!n<c;AI1m}
zo{NfoMF!Htpxq6mu{QVd@i2^MF_e#w$2f2qCm6`V`Lqw~77)H45&KRvkh&fU-wwz*
z28#6!$Y~2b&p;06yU{=j^R}<jK!i2B5Ay*?V_f%Py#dk~k9}Atfbi^5?0dsN`X=b7
z29gg!F)x7hJSgYKyqGb;IPb$a<C&G%hw%g?G1vPro`BR-P|Q0Zbw3nq1&|Ct;ZFg{
zE1_5qfHaSH*g%5I!}<dxhd}okNPP>%ngN98He%mF1JP*cAp<Gs{#gc6cR|q~KoaA&
zALlY4Jo^&+F(!bt1I3&Hezq+3zh^MdLg9k>ZzX!1g%SoL#XRIF09Z+UH|wBxE~pDV
zNLh{loW37K@SiP0o>rQuHG}YU<WFA+kj{;rrDrRCdpQQb@<hCM0UlVVgT;8zja^S0
z#J5E`ZL5j0hJejP*{CynIZ->LYquKzuYpo<5dW>DDxwZ3t0Rs(uELK85TA>5c{t8P
zTqiI7)0GJ8Je;Tibrp8Q8{ISU#`7k;q3p-ofC%f+h&TK85cR6Vi}@SjOc2%w?d`jO
zs6X-!7>^hCrVtH`;71QgGq{@QSd?)b(jA9#{5T%AlIVm~qTvNZBc>6ZScCugKjKD#
zlQt5ayaSVj@Kce04BB=^fM_gqEaJwY{IdoUoej<zPBeZhK)Q3$kMmIW`ISTykZvNl
zU^Y>O#*2Fs@Z$=^UxGGG?u8#tv<Ha4Y#n|ifpV@u*;k+qS0de1v}<Y|ehje{KYAF0
zA3GEP<eR<*KX5?#*Nw*y8j$9C=ndoW<As^{!Ga$k&#b*fHzD24>xgEftXpOf-P)e$
zHrRnlM03F0c|^DGAi4v2?nK+?Bkr!zc!{kW(cP%)?u|qXD~aww-S=v+5-+KZB3guW
z_oE#TY$aM;gBQ^@;bcW!%g~O8mJvOSbdOZyC9}mukE6~igsmvXk0mzaM-nLOX|!b(
z+WqW$qUTZfYP8|SJwz`x61{?YUo9nCi}t)Wj_3{4w+{8ZH4{IQSU|LXFVTjBMDL)i
zcTsLN>Ugh$=>2&_{|pdq+)ni25TcJz_Q&ms{xzQH6ED$bq~EfQXe;y!unqNnjlA1Y
z=6BPGcAy<Upq`&r;f+0%wQC?z-7=#3)kHsM5$#z^^b6|w6?yiKBKjTa{zRXGrFeS)
zdHGxEhIRO62zjD4c*2Y0MwGp83ekRM57B{@M2AKbHO(Z!J9TV=1fS8a@g!1a;D3{W
z@HAYNTg@iX8dufyO(fjgNo06Qc;P8Br{RS-#I;?F(;9Kv5fbg-3ENL0(QzeSklRKg
zuaQK4HxiwZwqOE@E{MY~8$>a@U{}=RYfqwN4~cG@NOVUXJrIUBXGO1K61}IAI0|(g
zRY#(942d#$ygtZ_^GWoF4nX>Wdr1r)MPkSf636x;F|?Y*aY*Y&*zqX)1mqooHjNxe
z;v|%LGTL#<dJ?0N{<MB1PDek+RFF6WWu1w%<51sOQ%IbBki_^2B+lKA7x$2E0`g8=
zP2vKis~Aq=qEZqU&m=JkbxfXzp9muSvXvw*NBLK3yx>=ipAI7ZHS0)B+e~6Q%DWC_
zU!O|i29$dv($CyO;-)MTHzUt%)N?EH-MW`Vpce_84`S{r67vvt$2jwHpP1hbFY^`P
zq0Tm3I2Pj}0`lEkL!uI8EgDba{!!Q%Ll>vw#XZ#ZU?XlIQP;9{xRF_l&BPcI%ZG#Y
zBpzKr;<2gNR3lFnc!B`RS%I`GQQuRuNjx(URFhb>hs1Np_xv*4(4j9ct|aji+WGPn
z60e{wYZ3nX5EARq?l;lCx3-d4zX~twEyTkFwEtbCt=^0m^HA3NNWU?a#0RMF1El#V
zox~<TiH~Q1MiT!*o=^G##BD}dn^%+AGLyt-?MZCS0((e&j<$ThiNqJk^9AyJxq~-%
zB)&$zZ&JZx65A)?$2_CKUJ~D}A@O|>FLWaw=al$y0v^txyq~6#z^Nf>^YAbS<?TXT
z-53(}h^vo~*bVz<^y_EXdzRy3iZXwxBk?Qh+>3hlBK-Fn+~91+jm>%z!993NdJs42
z$j?vdB2&O7+>M~Ud>6wzzeWva;0g=fHyc#rDme}y{ec3o1`pey2de<e{|kNi3wj87
znu@_XlC%mp-!t*BB|;M4Y)hRE0szOjmP!Yj(w=1M5P<NsUL;$M0S8I8UQaT8J4u|!
z(lZSYVv*OohGb?nUi2G>2Q?Z@00_%kMlyRU*oK>Tl$(RN9Ms)@HGWipayu5|<`LQn
zX*wZ)eicbvA7w#5l7(3$yP*D}UU*Ru`HGRQE9|bD@v<Q7k_wXDMw9HGN3ur&$)2-G
z_Ch^JA<fbANS31P(rS`rNY{r*_8kcJlI&j!5I<lH$#RrGFhFw94w8e%^Tq_594|oI
zk45-U<QcjU4-5Sy{ZmK|+e{MIR(V2%<nYBLM<D%)?MaSgkbmTIfU-vA0oW%Y{3L{*
z1pDLyP)G8VO(aL7ZKux01FlMvr%xa`2I<BGNuIHm<eAg(0%0{a)(1(R1w9+_=j4$b
zKN~;hLYnivBqwNq_=zj=0^lfseqC5evZ5c@PV%B&U>?{(^5Rmkn&c(WOHlqK<e7}N
zUy62IhBi$>+RKse3bX-!M_z?`u0|QxOd&aKG|A~%U;@c&yWwTP3X(IbNM1jX<PCn3
zH=^zvH<O%&ytC>^-n5bA%_#5YZTO)G>{}L+#5G#px{~B=sQ<S0B<B!7`L`qdc9b;_
z<=z4N4%m01UGu$QImrbmXTds>cTK~MekyM83&0+d3vs-#k>ouAlK0Lec^}$P86ml7
zD;}b*!o$<mBp0L2i}#XTf-;sO{j#+rAJ+JyU<S$MH6$P1gqH`A?(sZONwSIn;+~j7
za>YQBPomr>BP3TYCizqlF9;&;nJhd&9!K)o@g$!cP4f9vfVkCraI=Zymo}4pc?ii@
z5dP`}u$Sa($n*LFl5bRzT(^zno3ly2<tO<zj@M5mxuF+m#7lvQt415%D*!0-{Y~b_
z`EuhLk{@&<`C&TAk5KMM3-O>2_5Ta@zak_*LE29dw*~1xL)xv=@I}EYl3y$)xea6f
z)f8}$<kyJ%W-4x|k?%XieLoKDA-MzX_yKu-MBP83ZM9yKJ4^BMAJWzJB3VBW%p<wG
zhU6X`|AIWf6_ebX1tKJWuO|7&R+4{iCmHHTGK}L0;-UdO7({t-)Y&)=ppW|&liXiL
z@&MuvP9gbMdy<DxPtz1U|7{O8krFdV$pWyBl!D@kigKoraxKG+T^3kFDm6$d4e_lO
zlWIMlRQhoINK=Cyq&y2qW%MHD?M5mSdD|dO+exId5SF!#R5t2pSBVEZ3rV#{c>5Ys
z9Z+`1DPRw&+%cr`P*2`!Qk?>%@@JFk3@t!8g`mq?QeBa^1o7Qxkm`Z_z2@OXJO=GL
zdMZFUWrY9KLIFUV`XWz1r0WlRz;;sQ+ei)EN@@`LaLi&-Ll)o$GeT-8${4x{FWs#n
z<ww7UA?*q4NewS1HKG^5@rj%9G9B`dsw8z1>N<H8K;F^gNS#_i>a+;}WuJ~RPv3)=
z>JUF>HK{YappMj;$Uhc&$EAV*sk2G}+IBX=&he8PUjR0dIu~*0Rq(@Lydaka(2j{X
zo`^nNfVN$5kko}}Zw2yQ)D2XTy0{mqOQw;Ug!WECy2)tYWVG$l#iTCtf@P$pAnlZ`
zq%NO9>WVyo_Dn?`SEU1_y$0dakY@ToQrBv*jns80bH)Tx*N-7}1KM!oXuP1dfYhv1
zP($h_=*?NAW~01YR+73E_1uQ?um@6e5H@EMsk!S&-M$dFjH~fw62j)AoCSVTcTFYr
z52X7?9jUvkNiD?jJ+n#O3%w6*z7K7xTuo}xJW}_sCAGMK)PtyF$zoF27pbKONiC}+
z^$^lOjPf2S#fxI7|IzWJ9-B$(@qVPL(7q=SwgP#c97t*<%6MuOsizl^dIoJ<6(RLp
z76_7By@u2a&==Q{S~CP}BlR-!y;4Q$)c~orDDyRh!KbJ<iUHd8<~UMsq0G0tk=j6D
zFCHwSjCVJZsz&+mA>aE*|4;O5qXvlkU@NIjoAJd_7O79rkIjhtbT}SXtS9x^6jEE$
zNqvsApVyH3av`a0%SnATiPYDnq`sL!YWrF|0N6<CyHTXRM_YF+BlW{*P)F)V)b|tY
z8kA96ObY%)!I!8yw55I<solu?GwR#Z9uL=6k@~fo)Ng3d?@0T5kkp@(@Nf|6L+ERG
z2woaXC53O@RCFGx7|M!gfz6~Er;*y%NNWEAQU_4~!NsKh+Kz_~D6^@8G-Z(%dr0G+
zM5{HVbq#4}A!%1N>6A%$Xot8~D@nH=LppsMX*be%mgC{vM$+Exq%&udZZi<9CEa!%
zY4{JFjr{EzNw+U1-C;cGj^jw@P9>c;igc&hr1N_Ll-n8Q7HlTn1@T2_OYwTrU8j)t
z6_75;Bi-#F>F%hf2h#N1M7kH+(0e&)+^6VL<n5D1x-aP0o^*eNm(L?Ta6M`4Q}i)t
z%dsfuxBzK?H6CWcK4B*5;a~*vk3^lL(4LcKkUqJX^eM=5D#|>42p$xtk{&yO^jXVD
zpS_UucpRUL{O6&r^JkNuFqQN~lzTxQ=?hE2UeXl@Nnf;>^u<F+U*aV_X$tAd$TxXC
z9w=@jec2w;Q&9fp^GII-y>cVzsR+Be7wKz|2KO#{`ZUtlqP*)+-i%eGuOCPHhVi6t
zM42;-NzbYvebaW*H!mlR`xt!-+HmVa(zk6Q9hgdb4%#?3Li%=;f5%MHca9=GKb`af
z<h^SG>3^WSyOHl6B7N@|fVB5DlCG>Hy=Wcj`w_PoZGSKepv)zeq?e8-y=)-qhZd85
zxRLZD%SbQB@ndLb73y3uiS(1Oajxp8x08Nm59w9t&$BpwZZGK<rjUMd8|gI*NxzJC
zyo$VQM+2mN4PkGjl3s^;-rP$1?Qx_xApYIqq^p<Vg|d01H=^$!po~omNPmp-Hm@T6
z8T!8!WAS+&=`Xybztmte>93$)k0On8PjB~={<at|a%GYJ9_+yJ56JUVDq)G^!QwX3
zJ5lB?)LmCcdiQVu-7|*tF9oE3MY`XnlHR)mUofGqf1<6yd89+ACycg5f}~@MNyj6k
z8)5HTL;5e&bEuSb(^R|^)r%ZCiX7!7M-L|lZ!tN}0&-k6<fP?+9pto51)IomBhHPq
zo<_Xv<R_<1H*(tcBPR?0y%yXTIPKPvlQWN;4wdBOA}kMSI*li%b1^xE6UZq-IYlTJ
z=a17B<(14NryJ7tKzOfoa(bh_qZX2L^g(h;_mWe#nw&l>@j}8Ra{7-UXTTIZU`Kg_
zh@8PlJ9rN{IDecWb>tkom7L=ikmKJ@&aiFdoPe~$hm(WrEWQ{6Q^`4L0zll!qscj?
zJy?Y=X=jpi+IWDnPTxq*7}RyfLUPVT{;|k=)&g?Qo=wg<i^&;}{O4AXbKV+q&fiPU
zM6~GwP~j!#BE(&iPR=C6O&&$grAT+#a&o3Ll5;uqirM5`i88OOA!jPubrr@9=ah3z
zdk`UK`Vg?0oNL#TbKMSdW>k`My`P*L0_4m@x|!?AnT4>M(7u}yJ{x7-g7)1ugPg!X
za^|27bM}yPdmgAJ=Z?`}FFALith;BEvv3|c_aN_msQ`9mDLIP{l5>9zIk*lw4<c^K
z8giDREe}<Y^YA8emZQw&Xw##s$a!oWfc-eALY@^w&XcH%sHs{6L^Zj{4IiCL{fWxU
zQ_4%qGIRPC^(`q&DbFd%$%GX3Ey^h??>eBotZYDeVOhJJb_jN*xKawsd?mh;O#gZK
zD|z+RSI;{)a4!D(!aVo9L%W6BlO+nWJZ{0(p&GUZ--*9N5lA%*k<Q|6PEwJyL>1vr
z;{Uo@L#N^(o4VlXZ@-eVGG9@b6jyd;SyoQFzJ1CE^v_fS$_JnoXb;-uPfPQ7((uQh
z1v%-hTBYaMPZ6-;O=MNjp$gG9E32)rpQb*H$&aEMk5I1Q-yOGYms3{OE+wU`Z&^8d
zJ^<z0qdqz9va?cLMMY&C*YXIhKwEs}<z*b#@~BIRuYbSt0e!iwqOz7pTyjoId5Vd7
z&6AQMT3y&$wQB8#Dbohq=8nit8i%9)$5gKD?CcA(FBDZ=+A$-zXk*#o30OHC3@cUs
zhXhpt{P7qGYK3*v59{Vuj8GpQq3rCkK7C8e+Lh(-+Q7PSm6VkESb4;9a?1LcHIs-#
zcy<|&9*;r)veKebj0fhG#|<Nw80VaJY?&}jdRb}9c*OKC<FTy5*hnQx-Q4chtvpAU
z=I7zRv?N=%FH@pjPW!BOo^+QhvrUJr_O`E>>kb{W)A1j~bEUU-XJ%)6%W^wN{2zK-
zbtqHq+9QM8o#M1@+aW6l8ALTcibX0H?Z#ZBrnu9+8ICI@BV9PDsp+1Mxdoltwr!QF
z3hg8nsg#s7S9-cTT{}*S%cWecTetCYhStJ`+?*lLWGF%g!o3zX#c>YaW!Cr67~BE<
z%gXwd@ER9ou57!;MGD3RqlWQA&&3f3H>Rbva=Tj{LQ7eNKQ1~K6m%AePdei0Bu<i+
zcBtB_@TV2GZPTW0vHfhKmPaI-4mH(?xj6SuZZXd|56oHM!dcOBwp-39)_r0o%geA1
z5_6hUX6LLLJ)hRvot~1SRQk2owN}cNn(l5r%}&rY7&{wtZMwo}CSpVtq8FUNS&%h#
z_y|O#bJi2)+mWAtd?GGo1jn`J%qJ}1K^Ej~3W_zN65j}uIP5{P`7DGd;W6%8hW01?
zNq;`0;a7MTipu&6vJI=W^;8~tB&PkB!HGn8zDF2CzwuwaFpAcL@;Q-h{3phyq<^_9
zr3^>e<{ZJA$J*v_lD&HmAKtsSOlnp4+*~1YbGs*1P%=8uY*cW9Kr)3f_?$I!NqBdt
zJ6eI#F?)%#6P_xw<wzKxYWtp9CA^v5iq=x4q`K47kMi5TR#aH^i$GhfIzPv8n$CxI
z*nZnjQNi^dNc11yWwh<WwVJcOA8H*?&g0-R-Zkk#&Gp2@@d(`4rG36#shxWc8QQJ8
z6y5K7)z;la*=Z@BcXNcu$>}00+IP0gKfi~N-MbAP(sMzg4Q<<c-)Y~aOHPhRi~-NZ
zaI~c#U&}D>XoG2iZHp_#cxLuq?0wKaUgLe)_m^{vip*+G`fpwtL9`=dUc14*5+O=_
zgHJE$n42LTt<&+BBHf)%@0^t-L{?VkDJJ1#Xui1+iMH7pGdTz6%=C8R3@MyXcQDCK
zHco>&cpML690Pa{5*w(t1NbUvJc25NhyCwXZ^D=0I)FJY-@p}Mwp@Xfv{solc8m(_
zh!)tR7q1l8atcm)DCo_|7-OTy*y!Y0urs-)cs!5eHkBWF9W*10+5MkK6jy=r@<LY!
z_6w-wsqAZ$gE_Wy`wng=IheY2hq1}QT$a%)O%{qf+e_Q5X~~iFW^_zTj$~?f^GLQ%
z&sf9PuH^an1QpTHBSw<Xhpg<Z>{485cr7GnygVn%oSkOf+ABD&J6NyS0qjW=0@u~_
zv_)N;Pg2>Vr~f$or)}Hibm)+Si^*Y2T**l}%j%wkgb*@$&K}>Zw{yyG9oyN|?K&Q|
z;JbJ~G8|)^-@Inc{woDDpV(=%<+B$p<JBmrO{>(@np9qWaE=={H7~aeulG=Z!*B^p
z7d)Fh9(?_={;3Pjic2u5KC`xpxO7}^@R`k{Vb1_~g^~f-rWEz%Fgv$=R`6K$#kiHi
zbMj~ZQggvBG6#nfBr}OpQQUPv!GNyCLKL<4c=*WAM;=f6A`$R<y}51L2+^iZu0Lsb
z3ks5EvmtB=$lSlU4X&%EJT5r5W1Hgs0nVSy!|MNgKyp3&Wc+hS8i*0j;@ynB4%jPz
zxf1gz<k*4Xu5v%JvR!Z+h(PzTeEo-~`LH#9SkE5K>p~STO2cKTl@O_ZL5HXKuvO*s
z?sa@}O=w--V>J?|ai&wuIyi)D@myX9qMcchPMKr87dN6S{K0_ouIAb-ZZYTXe&I^j
z+DXAmI8>b}M5gfbi6O4$&)aY3aE`BPh3!Zc=dk19B|ol}e(XnjVm!KVP38(&*nCYa
z%>FM!OYP|^5*LR<RewLmZllH4yt?Iq@y+<Z%i8|6b(vY<{-JLe>~`EU_+RuAt5R`e
zMarRl$?ge1ckfX3|Ij^&eLxM?UKI_Ylla`{D*)ClPbXiEc{*F}0_-(v0CuRngzXuT
z+#?|K;aiR|yt3@F%<EZ#DdSs@);;nvyv^&}hK)JmcBFYB>n?5cI+lvWc)3$^+vMdH
z>f~~^!H24kxK&|4RxJs8@G&$IE5hy|xF^XgDYx04nRdY*-f_56k}>dd?8$I#XxVR$
z#cJoF=Ap-ilg=D4K*|9F&a`bAHE3{`E<$waGI-FagpEB%@4Vu^$u{>aNOjw^_~eZK
zBetOd4&pNHupCj6DYd}tUkVEa51=VDClzVOBrjE*xB7_9Di*KA9_L51UoE6=m|wml
zRD2I+R?q<KD*D<TE4nlQS9sMHx3%SEIX|XlXQ$5WhFb!7#&lQb4+|Wq8>_6_%pR4M
zm7_+9g?x{AsHTGBan86$kLGCX^V2It!J)_tFYvi@*q3&uqs`SNxv#T3yOutb$G9j5
z_48(vrwt1|<w(cc-=Fke0Um+O%)Cx!I4aCvG7blUq#Y1dyb`ObOaMl%s8grRE~T8i
zy4f8zyTJgrSv2i4`-&>U?o{}28<yM=V+U;3M&drr?%`X6h?B~O3@JPMX#T_=Ev;3n
z;b)&cyjO<DlhKQ<R;|+bc7#*-{rI%|vth$}55ixs<BxBZ&UYf*2766L<M9N7eNM~s
z(hdyoA$Y_xapft>#E7vM<^baURvg!-Z>M}A@;mkIb6f@Yy^4n@=}CnNvayMj$RzxS
zs+0R_9*5@ZAfAD={rkMNxEny_|KZ4=oQ4{^@@o<fuqt`na(3*(4;&#p7Khu>`-pZV
z{m$R+O<K0b)Nc#?4>ecYhE@HoR$FH^#(!{goxCJ@kXt^dfTzGBwcg_h&%&XYjGE+#
zAJemE`YpDu$}C*o(}oT`ujL$#Kb9|Sya0L~Cn}P&Ac~6y+Ln1dIpYTnmMy1Dmh)=j
zY~9e@<T&w~=|j{tyMN+FnVmImGVMhhZmqDz(cuS1{mTlEycRW)t=N7Fs>a`ulNbot
z<3kCpZf=7gZNPnHiz{W{BkrdTUpI>o-eUC>*b<XBQ-Y2>M&E36_|E?D6Rl*!kEp)~
z2E;yxu}|gr)Ufy3*1IQXGt)dX5nOX})DvA!+*IPoRNK^iW0`2Bb;w9%nrX-X$N$6J
zn}A7jROg}<SxeTwZ@pJ_byxK^Jw4M)jb<cNBWXr6THDAH0wic5Aqffaut@^MRT&v0
zUBC?JVq=Wu#()tI-gn0fHj6=pu>s>}JlC=>HrLN?Y+vkaf4)zC@A)D7nwt0jaWX2i
zs%sVrdC{n|G9x1+Gftdy;%sq3U537cUOYAn8~oNCfK1=K0#-{_=WySqYJz6~2YzPR
z+rPu_pe+E}Wcb~Ws(Un(h;HxwoWQ30%mZ?A@8zAC-+}=q5&Io@8u&dGM~<bOY+&Kl
zNGKso|66FIBkk<SkM48Vfj42$M!7?a9rZEt#@q%pL9u-RksR9<Oru(#g~8NQw$UsV
zlOO+hvRHIPfp<hRndmzlNEg-51+&jQlMRMT2ANdx>&fKTyMN<+OuH1;@BS0WLm%_a
z=yxl;f%Yzrryk=5OWg0+Xch`7WjpW47gF7SH0SE^P`dk@YED}3wu|9VN?p?ZBlEUm
z81NGwOdc@G5fyBP)C;~dAPr-tqOrnJhqUPLs6(Zl#o1X16UEutMfYq+O-!z>A3C(Y
zHi`Mmd%lI5^@WAHJmZ{gU$VM7H90x8x_XIwX1<TKHpM*IeRBkPQjM7Aj0#u)&DUm*
zz%7|3413xV$h0s=7&FP1OcI7DwgfiqosO}#bQ~BxslJSFnDn(^DKBa%bpz&d*H$3Y
z62AyGKayb|qXg_g0uH-uwD`KE+Oe=wG0vb@PAT&NYGnNiFUOQ~1WcK_%N_Pc<!_4N
zK^ES)&@}z~B4jf?7kXQ`>5_~14pfao&(Y&8^t<Rg1bDhLo_D74(rXW#gHnrU-g)_5
zns`B(KRh>5R@U77B`5TM)1{(<Id)p6z|OV<-}f6LejqbbTfSs|&f3{#HC6{r!{+fv
z(0!lq-L1b+Y{}5hwe|_T)PRJhsbvFzx`sb;7vL=Dg#R?J;UK_z%)9*8EWsuzwR9b4
zIO>fisJU+6K8Za2fyBfCOO1?;mdeRQD0#4XBv&5E2LqN$Xv0V>VMCA4=kke*D!c1f
zDtsbVD8>_Z$RCKs6487<8Vp`kQ7=l2<s;EZHVImdrqUCWGp%wl?hnJZtW*%DO|}n%
zHZaHvCwEm223v4us9-?1%GUibc27-(Qy5d3$1!ifwlO##nNb}!1GR-7$n$Wv-J5ru
zQBn@Qc-qH&<M3Fo&C>8Ek7ZNytO^=7a=g6CBmV2R?HIjbN4{al=o`G&x*_e*Kd)^d
z8=C5J`*LOswI!t9@M|i}Q$m0H!$yGLrf3i4HkeR9%VYOz>LN()LEi7SDb%YrPJ{9e
z>oUAUa~ID$ilu>f0gwFqXnmP>-dTXLIr!Qe!=+OA#@FgGgvsh;q*$_l=!e3^V&o*=
zmr#%M*!{MeAtiMGMAd27V(o6bU=>uU`#<>8W?LLfY#;h(>PO*+qRra1_t|1kC(dF%
z^6EBTT5YN~lhDZ<-uX@nPBB;=-uqs|Jan11M7;OCG)f5v`T3t`E!2*E>eGf*eDtHV
zSFnXof66lsvlxGE4spK2t36_lB$eR~zV#qY!%^^q56QrPh~6dWR$(~)9%DK0f9oe@
z)PM3@yu%v5jsSPUfVSgz0H5o4pV(`~_N6FCVJ0NU7mKm-+Q3@*NI2g8+kcj3yB%Jt
z0x!k#n#rZRpOFtznOsU;gLAwOb080@4K3tVcq63BMo%4TV)9>IEkT4a;=fnWvBe@H
zaG*lhvxaKxEFU57sd4n^Q^2o{8H@f0dta@yC11KluZ=mE@7tC;cT^7@s?NxH3qPDE
zDy2vwSE=L@krJjaU@>fqloMeUF=ugkf`Sd7TDGiZse>bDi&A7M5Lk+oM0f3Id%_Yt
zpKtfjce4j+Y>K_FR-=SRS&GzdJUX^9repA7j9v$<O6VR3se~ihEQiWbCcvm^Od&Yf
z(0Y*a1JD=px;ur#__Bjf-jW^+LS_dY*mC<{VP~99;%A1?x&u$D&-lY(f7XvOT=}!w
zop%;E@ofek1h2dpM+a)Hui5ru$Tn6QI|Nl#=FyIISbZ7R!(-4yWFD=d`;-C1JHC!_
z#^?iLw9m1tBAW{i7bq3mc#y1=nk~&uHLC^LF;US*(C(AeEGzhwsPe^P@yNaC4=>l_
zs{7fZWfeE|p_4$5w~ZFM%?6UuortnuHY=TZ^KvY4si|Gm=&oY`tRt`^O<?bxmhT4N
z9U#2AwgWia1s?_c#b;@?yV0=4W=1a0eyu~$(eo$<S)`wOBe$QXHSIt%=7dIn9RTu9
zFoNjmWazTJE4k0p>tCUR<n&RMYNeDubf00ru3KBfv1qBOskODkVd;t-D^_uKWJKw^
z@T8#5uTiwm=T=rOOD6LtU@}W}zUH)sCRbR~T3fr0?H*oRo0`I+e?bm8K7uAjMrL`N
zJ_syx$A1Cn79DF=!{`d%OMPzxb!@PMP4-F8fG`G&xCg3ey8gTscoTSs^^E+a?c-Wv
z$w(tq)o7|BKv{8C+c=C4OV=ElAbr3wC(O0YU<yLaN@R?<lu1}CD^oxiHKFA$3R5^$
zsxq~rt4^v^N=-t5K}5!8rBaa&6XwYl*nPB>48vctX~Hi)KAJ9!8?kM?kRJW`2{!dH
zxGiQ^**Jx})mck@oNq-S1=_8~R|)IYc$KZRG|J*N-5mulTq_c3rE@t5DTDBQ@Lv|5
zN_2q+Sufcw#Yn2?J(1`K2ImUE>4BpiDLBymLBaVH!TFSc6aGsN6uV?sfUT<de9+&{
z>{yih=6!3v!@g^=L%`k0j{gYYD*Py;S+JPRh+?ZAAFo)qt0*M`t^=z})B1-6^;&7Y
zuueqBc|-pY&vh+KkLJ8sQb6y93Bg$x{o62e&J-F4i6a?%a%ypLYSR8~N0o1}wA-qr
zR3@cTTj4PAG#uXKPbzbQ5a8bl`AMnn={@CQvAjo)UTy&80!^Lq5&0HI=_wyw5G;RM
z@G<ppB>uq^wCdNf#n-9a!w)~qvk%52kEv9Lr#Pfx{BcfIs(Vs3=H}?y<<SXIkVbtr
z?9E@Y-mZSb_c&JZe8Kmd>J{o<^&iMTfo65kJy1@Q?(j3W6kGzZgiC23Jdl_;3sh?M
zO=DWzhdDQ2&`1m7he%2E#o2z0AXtL7V`IdIoOw#2*<f(^P5R8=D8a|Kf3>*U+&xg>
zU$nV`hs%rbilNQBuXOLPfah;C*VZ@ot*x(Nl0zg5{@V|S|2|A|YwP`=!4H}SMP4Y7
zLcPud3}C<1=xQZfduN@P0<n*%ed$n;uC`zpu{yz#LNJ<2ghTmsG#QH^X2gny!s&1z
z8B>1n$6%l^kxKbP>2$0R@Tc&ovdTGaZM2h?oel?6;qbT>N~io*D3nduv_nQ>SUBmo
z)9H8~&wP1hWhER-q|;t(Y#D@oSU387d`~!q@3BLvNTl~YnPl&KOdr0_Pg!XTlFCs%
z=?4)(S4^Y;lUOt!PK2YWNG2PO!~v5)Fp~}hl7NX)$*7-D(f>g|VYdT?SUMd-3sD&C
z5FM2p^@mdFus@v*@||Hz1*10Pl0>918gL)z{yiIU!Up6!R!CR;>wZEv*!!etZ19r;
zS-kkdKWW4t9Q>p(Ki2)Ec<OujocDT%h;#dy@1OZ1^zE<seh&Lk{IU;<2ehqcOTQs!
zo@ev`X_tS~uu_nELqn*y=piZc(sjy!yJ*=ZtPL*(D>M!h2Iz95q}?M8&6!EFaMgVx
zkS~S<sZ=%-ib6jMR>$mQE)xxp<&)VoV%PlsWF%UMhH|hXz~o?s?D2+5<pbejB2x(j
zpe_eyCt$DS7Q%iA7=@^vk0onXxR?(FqVaqxrtjt4XS$zRTg$6bxy)D`9@`Y3_@_RC
zPsyhgJ!W}3T8JmJ(M&X%ix)>?@iaas7$_G5p<E$~PszpYfU@{W2sXm!;B}QuLK?`$
zl1Z3Qi(|^NRnX2AVnHa|_~-)q1N(};J2`{vf_|#|E5YF6SSlV*jmhy5`5=*b>8BH2
zrv{n*#h4`_A#hsMQ=_BqP|c}g_`sdCs$(M(mXa7I&nm@S1k*U0jd&R_8qHO^TCIxp
z!;$=NeZw2xFp-2(n@mjH7)Ola%;*_kdN1a;L=s^Rnif`+CX2*~7U__v0h8F&^_H(o
zU6ga9gv53b9g)kyn-aF;!Qe|<tuKO{5$e%u^*D{5N>7~NWY_6UxLBv5`+FJW*LnDg
z??Qhub+a#`akzR%Px}DpW)C5xZ&1z!f{`L9?W2>f?4ZRd>adJ1qBzBS%~?Pb=#SWs
zodd*z16FaRXn9W6W&%7o3U+z_o5>8)Eg{O*%l6dvII7C_N0w$D>b_62p(hR;*wuz^
zu6vS=u(6xTR)oil&)}CWj=l_nQ9$>dG0rbTwCd0KI-qZv^w@1uo@=!lybhtym~S!U
zqUjh^pazEt&haJ~4~uEbFH$BRgz=pA0+HJ>_dy>5K4J1L(Q={N#=K=vj0Og+2&?l}
zVDH=xyJxvjWNN~)Cib>+w_g6bIA|=LxY(Hi1U|L}L!&)n<A3+;zi|2ruOwlOv6AkY
z+Br*k2Th*lz@3tDJH_)8a{iTYeku~3nu^wyy7XRtKs*Ld9{zJCM_u_eDtABE{}u8*
zzlXic2fl+}1aWt0xzC1f_IaxU{X6TMg)i{cz6Y@f(w}jZiMf3$XlZv*Uns2~WC1KL
zts#6#;|0|%{%PzF!E$WQ!GVDpuAgfbvD?Mc3Z9i3jO7m5u!Mj`IM37}1CfZJ%L%cd
za-Q4-uOO{y(mKyMUrW9NUei$90&qEQc`v%#ecU*cnH(KmzBrLwj${h)>+EPG_<~3_
zpSWVtL5-zyxm-YmzM5e1-Z2E3f?>nFgsV##Ep~AO?0hVfQC4I16iNCPSPEkg^6WvL
zeVAt-?v*`q>oNj!ZPh1&^j&nH_A+O+a{T!5Ms0e;?+-VZmnUb#*7f;BB>T=tFciJF
z5RYWvboD;z;FSvt3wB;vYJWZ+&9?R;tROtcx+T7Gc4V%x9EOBaC`?2m(1U3;h{cBf
zPOxLJ-yr_sbJjc6*Pu7u2F^%%T{&}c9kgj<0sz2uj3`Z6Wb>ji)oPk@H4kJRA$w>F
zipG14vCJlVV#h<~w~<T5)7B=B@3a!{ER9|pkA-7}UtA#9CcD2T7&ulQua3QV^o7~n
zM7j1K)cxIesW)}sm5s%D|JApoFbzcf8U6qgUx=r3sqPAo_hb@p%@!`UqlswxqpaIz
zqt@P3;dtRPJ6*oL`*Jng{cmd4N+fdn-VI5RZX}lCkAiCM3-#d9^j!~I&})2c-=pV+
z3oTs3p)nhrr5(`p-u%vj3(5?nrwwgWUDu43bYT4X+VG^quWDe`qL!Qme(zGdq4wu$
zvis-b{ov~UMzh%*(Q`!wD5Ym!vM=>Ch=C<4wOJ7v6~$+PZTpLTF#XPVzVkEvfc&SW
zr6rXjmqV++@}Eq5ot>Q>DFge&|5C2?_YU;;4k9pL<lBPn`SrfH`hLs@$2Jg$b|(Ib
z8MTNh#jHG`oGJ4YjjcdBn_f^J$tJXE6>O#6sP5)_J#acuMNnrCzyjxuCf+Tly>ao0
zTd{n+*-ZN53(-V8mw!!GS-E?OY@1ebZkrHHFDnxSD7`&lq^}Q>QSh&9O6E+-+^&+H
z7p(4|L|D(BJxB8C^>`{5PgIirY#urg(K=kD#rOC~{*r5jkI8Y{G}wE^1E%B&^NO-5
zdBBwTf*SAN0Y0z+8R<^nkN6&dHJ39n0gk`@dI?L7-dnid;buhHSq25mq=LPHp&@wq
zumlaD8|I`3an%6=C4!5YAoxi(7>Gtwx$mD!0|u)XUE2r#ZcB}-L$GXHxfd+Pr@dof
z-EF$rGABJCzh!!Q+8>*?Qd26EOr_(%##}l+x6}vi(47bOJ);Qm!1NRpfF8Vi(zMu9
zF`_+)f`vHty$bL-kI0FeefI*7*O~wXn4%Xi0bLM#9}u;OP3JvlPD-3w;O;vEo@)=v
zMib@+STJ@?^OeZ|8EQLt_{?AY#b1oCZ(Lzu7E!0Gr2}96>Q|%r50m~Li$2Pqhm@Vp
z6yB#&iQI~ytQ>c$Qy)oYwhf+L`3t}B3kPd81Egp|6(d^s)*Qp1k0-Vf!riCw3OtOy
zvEjR4_$hjQcDi<H*>#%8oYN$cLlD6vC81baXW^CB1;xmW$qMp;c7*E~Ih^qcFoJrc
zN6IBb+{0*^L3J&3y5m4`C#9@HAqUSxBom2%d#cokK8?q6g@Q#k#{2Qu+3xqyW6rR`
zA;hiY2r2@2P1f7yHL>`Gy=L$;w+wl2_IR!6LiE=(HMjLSYZ^B&*NZ%7^chI|wYrT6
zWGxeNeGq|N)e=Bs-|8%`Fc<(T#uCiaWznK6SQUC>RD2z9WT)<l#$vJV8H7A0D}=8)
ztQ|F#{xw%8XwGkGvpY?Zjt^(=n*}PfFSAu-2P@Igvg_w*dqZoVHYR)a7|7>`4^`%t
zJ>YCNV<z7KZHc>$)MXSsQ36SyL=(qj)ofBzq(86LFdjZpcQ_dl7i%?ECkd~ATf1|j
zCnvMUfwN6EEl!;u?{rqs^Bwe~f-l2tv7&9VDpk=g8yK<+b$)V-=2_ep*G>125q^8p
z(HwvdMn(c;(6>-ex65KL+il-p`~KedPage_5}D|CC6T^qYT1CzQ&SC&c`zjQf=XDu
zQA8jQcsf-ED0eVfgT1gmdpM1MQ2Cm?D+DNGFN8$`(_lb#;sXf~|MY8kMFPb?zKVov
zQ#;Ur!`H!JYW}fKLEDWr&S5P|$cAMYy$~GS58ol|!*T^ypudd_65ZnutUoOPIFW-(
zIFfu@B9l(R0X9)9V4BVs(wPukTlHA%SS4S~6pOGV;6KZNRO@KTWU-&5pFPR{U&oFe
zi^b~j%7rrN0v6ZC3$+O>v4#C6PIHHTC6u|meqkz=DdsD$GxO6i!ydGw_Q81kLG<T0
zA;Lz=Y-1ubIn}6RYP2kyZ}4ZsBYt)zpG(qkgg>B;?h(&bDwj|G`Pq2VAhR&crXK+D
z*pX~D>nG%F%fhScjj74ZI9Ci$lq2+};T?Q8UWZP3-<?aPt&#Aj3=bmS696e+(3b~I
zz8d?P#<joZF5mk|mzsqGLx4#heiEY2s4WR*S|F<F=>VpdzK4VmiA4}ufNT8^K#QRP
z!geT{PqG?X*X@an5+Wr~%|#=9A^UZIu~b=FECm9sbb5tguCT8Nx3L217rYz@mgMrn
zQl(TxU{XAu?^Rt%r(4@w08+e_Ot#`czrG9A_J;F+a;g9=uj2Q&vc+O{?{R~rZ?v=7
z;{H#1t3HDCL<oc{Ozkgbv-TTJ&EtFdWNQwtxk@?|inTJCRutxJ@0FeM=zlZ5BaryS
zSEy-T2WwDE0h|C8kglT`+E8lXtwAw|hAKQAvy@jtTAgpI&q1M`n40qYr=}*}_{vD`
zK-NF^HCOTb(skV@)#2`wm>=MQR*8jhaPh8v{_I8B$YpJn$&PbsI0b`!<~<*FwYv|z
z;QQbIzCUVNuYIj$B~<9(r!#()dOc$|s#uS`4S8!8EAgnsI%CWL1B|g_u;YYQ)3MPq
z#Q{SY$jPr3GX&>AB3G@XpC`i-tS}RT=JVj8#ZtR{u^pJE+c*-LE>~$}BI}8bWV2Sz
z%4H`$Kas_+mCcU)<n0xbH(d2a%RSQ}`jz0ctO}Se;bFAVR_XNU&P0w2CUX-zqv^DI
z0OQyHsBVOERe!&4dLH_%AwpjgrZoIxv@QNUo6f$Ab32F6%I4x&As&q9vepH6_UmKG
zR4O?(Ix&$9g_08!qmZRjXTGTZ9%DNJ3+7$E6PVw`(g03Tka?xZZ^g{R)p?Zg@NdYh
z12V^mYl-EYvle)dOegNFk_g#$=!+Rdk!7=cmv0&!y=i$bx)_UQzL+?l=yyIg+Y=34
z-Vej}rkzUVSC1SyeA!|=zIfT;BS%*Asg%9>nzM1~3+3`Bce7)d*^PYuQrJ7NLY%@J
z$DWd(CLU4+VMqB$ByppeaK;vLGWKt=IkFzfMT~pBXLInTSNlXsRRP`$_Ty;6jiFVf
z%dncmbZ)CnxovC*o60`GI|s^`-&-AMfI2K+hca*VT0*NPxVckiO?F(_P8I}tXW5og
zysO;lcE~EtGo&wx4e|l^;=U1Ra<}S?7{oLU4d7YHd(m`P)*HA%fB`b%C^E5-)hd__
z!6*I)BT@@k5lcj#L>v}do90KSz1G4LUgp2m2fT@~OqRgtm|olrXOuZtEpv9pXJVu}
z=A?qj$m7A<_D*ONT6?eAUL1>+%TuN){*Ko9&fa_U$(CUQ=9lmcVEthSYb!g@J+AZJ
z;(Hf3mb;RY8U}&Fz5}cvLYc9J+R1{&9LB()8tQPJsysm$iD=8oolg^(A-gdxvpeVW
zCYxn^9oRk6j0kV%V|tOJwy~X(ex|S4x6iT;9lH7ELx(I?0m6{Y7Zxva#PF>XMVbqf
zsiOIf)5glbH%9!*&SnBCG0S_&M#NgmT2{7|wF-@ZifgG3Z<$UWIIzj)`I^?gvdkmJ
zS`^a(Y2p81>szLIeX@pNeZE8=;t`bz*ja1ZLdBAmPcOxim}>B*bfvTu3|euTGU3}b
zw%xtHOQ8F_9PqBY(>T={z?^!Y{F;?IoCT`@6Kua+kw+u27Qk17dc7Vi8|y9yiou)(
z3<v-7SSOpUc56``O-Ey)Ym%egH;yL5HS5M3Z+vAc6pN<S7@|zHzix*TOKZn#Yh3)s
z2k%(3rco^xc|GUC`1lvDFGgZ$tFyhmX+)gEt21r()8Fgoy6=a$8g!tS>*x!p3iBF!
zOH|+=WBT-rj|f^KN<(RzEGnZSL+VX02^QYdlMUFRr;jfRg~E|+=9gpPk-7Qu$b2ZY
zkWLj2hSS{-r^BTK>Q6rKfe(B$lM9DKArgXW<x|}c-gD1AflQ_v3T2YsPG6CE7&3J5
zj(6J;h}Yxz3(wBZzBG}TS?Z?lyYIet1abReZ6t`Q@f&WqVQO?VsGtLS`rm;3^TL7t
z3oQx%E+X&+k+|qN$G4#<$Wfu<KhTFJFx+g)ihs}*RX)I~SnzcEwe@n@&B9SS<cEkm
z-Tlk@=tb&S_Yc%k_Yar@#zs(eH2Xg@sT8ur{9=!P0K2`NzA3!Eeys_1zj}SSzO;XB
zwPCI7>HgT?{oUUcO4qEfS0=~dD28)0J9_xbhF_Uq503AH{CcDB6$8DO8Hfyb+9o6B
z_{(hOIfI}lTvt}_*BglQ?Um8ufoqK|hVOfz@ugqNVWHmS@<JJgps^8PE12QR_&iQv
z%2+Hlu2_Z<*UJ6ZsmSrvhYr;1${JBuW$e$k{+Bn7%L|kbSUElegURxAexyboYt2-O
z6`D4z>8UU9bvbK%@uF>2uOAoz6L??88>OXbqBp1iDExsx#aW$5t#xV5HPJ`8q8v|c
z$uo=7(nCh+%>SYeiHDn!+?v<+3)X;+hdYCK>SVf(_Yp0TLqo9I0FnXKaHUT;ADa2!
zUzwT=%bM8mNFq^pLbv1fL}CO>pJ8i{MkXp#CX~5SnFzBi8fEQ9On7&!;nogMPF4IT
zyt7){sM*GM*xxv+3!0wgQ+73emf9WfYz@b~ytR)`k0Z`_msjaRVCY%eNjN%VXg5k5
zI)EdOGp(FG%fa;Wv=3S7)Y#eJInZUl+WPZog8bMz@@V&rQr$DD;*gQkV<FFC#>#t<
z{mmsv(gV##BEwL?@?ZUnA*$1MsQFjF^E<zj82(rf7s{!W<;ZaKEzz&^pzlfF?}I~7
z6abDBM+MV?jz%aTE7TN0=z=atEff@h)1(Q(Y+$hKvevVRm=iFDq>hr&A)u2OsxvYn
z+#V2JegFjpAHTcR4zLVtS_dvgv(d<Sf@qf*kKjT_2SF}E!9cCCBx@zd25PMsQw?pF
zLRsY7t>H%Q3%5@9wbmK(;(^b*@J{R)!x^>k-fK3Wot1vKDtE%$n#2(yH(m!TL>}<{
zIJ`QL3MfpFRrX6nFf<`<iV>hjU1HcfV}gKQ_y=UdKPh4IH<nS}a3s`TYx|pQ1u|-h
zt~jB1piZy}<ELOQ@bUK$A2hmm@90s^#NzV~W1%F@gK8oLO>$%ex?^fW1xcySt#&FN
z3&h@y5SJ(>8hz+~8&|PdG^!6zec}_JNLyC=DLedxk+{B`iXV%oGFOFI;7{9jh|YdH
ztzR6vDx2i(FYC8ti%%rt(+_xC#JT%2@IxJ&q~Uol;Q7<O{|w4RHwBvc65U*ck}IPV
zniOYbnqFbTJrJ&_3v`F=XTBXtX$1n;&?G4Xnv`+8t#JhUvL-^hbC#2VDc~6`8iGA&
zq9-GuO-MTlU=t_ti;D4606oAMPw8la;ZRor2kfwq>T3R@9Id7|7fK}@hM*J<M-apr
z0YCxT2!eMb;iustfalRFhPD3s77WUCJn=*^tH<}k$Aj4LMA&|cBij8B-c%}I-~Ceg
zm@>WxMq9pDe*xD&`YKjSZ7~PetXFdrslY7Rpp;G70y4E%#$aq5K#K%NLRH&6;`$^N
zpjSOAYS6a6c<csOwRI}q@V~)}^dChX+s5f*_?-T4Qd)4=;fgf<IRj677KjLFg)^<p
z=n}2?>4jIwW_E$!WP}xPm~(uTwx?*ko<}?bv=OtKs3%W(Who$=F;MzlzAo%Uylo(W
zUP1>TGW8Yq=z9cITi|hAc;0aVVH>M}$hTd?NRK7z+@EwgwWaD+Psu1eb(J*K?tW4V
zde(xLbM5>9=JX*lN9Z=>?OS}WWDgtQ0$w{1pzRew0DBTDNSAhE^jM#B-t<b116N#U
z4TPZz3ar`J>~byZv6njEkyw?Jav_LdEiC@?=B+7~<>qR_`TCb$X(3LuQh6y9sl>^I
z<g@v-K&2u-Yiy%Gx6N8#g-?I_+H28-V;92mo(^){TnS0;7JB#{ONOzA3Hy<89?Y#s
z7Dij8Xd*JYHrNZ9%4!J~GV(Oe2z`YT|H9(hN%ZcjG$PL9*`v-UauHH8Rfg7qMM@~E
ztgN&Q*KXmwVlFD$2vLc}(r;NP-j|KXD*~ztADqNYF+R(-SlWioLH|eQ!RK3YxwT~q
z1Q$9Q7B9w{n>PavuJw?CPh{R=O9U(+gRo;bYLl2|%MNwYs6gBnS_STCnw1HZEuf`=
zoCZV>zJbu>G*NSe6=yhW$UdR+Wtd?EAn1>CCxlL;`_VL3<{PNs^u&pi=Bi>81T19N
z;zR{&awjGlv*VabCk=QAWpf`RabI!aEf|wZ#{g%m<$)7;Cv0DoL$PeK$?2O4697Sr
zlsWT*MM>AmoaD?mF)<Mw{bUTWsmt%8G3CpVv_FnK278GGoxl9czZ^xpXe=0ft2UQ(
z{|d|4;sO5`@pT|ovF&PJwC+2K(b=GF7q2$*ub%24vm$aCA0rtxkjqwo7(S*-$Yvxf
z+$xjF&{h&cJ_#tfTZrP0Y-~iZV#&b4fmU~iI%^A`pnSq`wpj3F6e*(?7eQpvCvmUa
zL3LKbkLFa!NaU0duUc5s)dG*11&whvGMvUDC&^+iVT~CrA@n>|Hn5A+Ji#Y3P)OwU
zX0e3H96C}V$lf#b)HVwWMUJxJbp-e!Zu}vX%BzimLAA}<)zSF$Tc+cGt5VlSmA_n=
zoGj$I6d+&Qzi+1O4@R++^6dB2LsM{d!3N|SUzIk)PEA?X)RPdnqd_!UK)RqzCO?hj
zVr9RIUW;&m;WuP#E5NDSfK!J6qg@)lwxkLN>S^uTc3lS#S?}>+En<<=@Px!<^1U8i
z+Ji`+C5OZ8or%GG&SZS~k&!$TIl_1zo7vl17#me;bZo)UOf9jxcKrC-YJv%VF}k(z
zSOh`PG0O_4>}Nu0KE}t#!nHe|dFGkebai>TIvqoYXm8)Kd>HczEX3C$`tmIpcZpW#
zpu-U7;H9iCkc==03V=Q(GM>Xe$S|7dk;_mF6M9yaN!*BxB%KjmPtg8?leS#Tu`T#3
z$JSZzNP?YHCPts8A??=a;6djp{<OBYx1|l|r-J)iQo^6DUI68e6#6Jbdtr9_g+R<3
z%R(3lry+ke05)6*OWcQ+R`B{EpxGMu+;+Py-|75pV-l7E=jUv2*^*jLU4gC~`HJ36
zFV3W}bI&Yt_khbOObuLKz~J*H*4S}QMcm51)rR**Eu^h}oI_Zx7OZmd3a2PX>{6YZ
zZn{Z5bc=cje)#0w_kH`8TX2s5ze}DFQV$(f9WGMAk`)?vg;Q*+htxxD^s|(?yUlan
zYpI8}cMK!hA?<QL*wHc+Y;%whMFA9B9ET)C1rh_paw(-+#E+xIM7srtO00D9(Naoj
zl0;0Y0xcl!5J5atf-r-koDmQb;6U3P)EIG*aJChTov5o)+W2Fn3P;p?1Qt%jlUV*K
ztaxKVRt1ANWHO^ccpNO=gTFV*f>8h_#1!Mb=Pczs2bl4(tbS?=YpeKN4z7&M=tz!F
zsh=3$rrh<mdA4tv@}tRtR?qdE=%8N&&-sdP6<IM)P=bLEPD3AhgtiYsl@uvM!)Be(
z<v3uJv~7qpPC-k+R77<|3c#)Bbxc0cUX6Bd#2)fl42w1taWYy*Xo=X1AV(#V@l7oL
zjYHbfNnjCANoGOTgS@KDB9rb#pLU;lR@LWHb}(`b3l;5Sk)WNLBVv9clFyB>alT|E
zmydjcnP}$J2dQ%M@4$sW)a}LF0>8<ZI$G`sJMqMnJ*X#OCKmUCOiiKyoCCC^NG&e9
za5I`bN_xZLfUsEd%S$$zIw=JEunEY4YixsU41klS`u?I73M!tW(*_W|P-%6uKn6j-
z1Xx3uQDYF04K{S;VCj_<bo%O+O>2_Lg0CZgFuv!nAVTUA-|bk}^CmD2+AT#7&@?{)
z76OQJbU*&u1|GCv?1rTmhD7Ne_#i0BlWIS3k!axo3vm(XlXemC8>SyvNa;n{{wr<8
zU`=(*09Jj8xCq4Fjf>=%eORmWR`9{&-~8q`2VuLbp!+|}J9<EdTv<8uCG`rdS-%nf
zP|B4Xw9vxL6M{r2+_oqStsQ-}|BBR4|3B-4JLvP3T3yzsI<4T!hO{bFUV^O8ChCnd
zemj&%#-f4PW%CPw-c;5UB$7$noX7SzC@N9VN@q7xQHo0p<umsYI2O8Pd3iana@onq
zC6`>1O1>bKP#;9jzyRy)Nv*CPU7D?rUTI3!g8p%HzF<$VWr}if`;Qg35<n2v#pd=(
zz#6^lv!DI!)ZFaEWahj7@DKl>0{`fzk5K_`JL)5l&EQ`I45&o_nG7^Q*ZhYP{PV&{
zOm_P@137g$uT9(hqtTTAh_^Zm=A}z8N<gqs(MxXj=5F)m%d`r1NM}&8{Z<SsVzU|e
z7bB6y(NQHS;pX@}+i9LPf#z1EU<GV8z=TVo6pU?=WHWL@zTVi6zH0l8)q-5T4h?@W
zhlJO%VLaxXscF4n&qXDv1~c&SBFjd#W#;`;u_MAOluv$-#7>!e2x4I%3ppmps;gxM
z%6?K2M~RuPuzst%gPgng^Wi@o&kenD8_~^|b1knDyBueB@!wI`6ZwK;vmc`-+Q2&G
z2=UO-x<q3rZetKJ7)~}PdMw-?R<%u_B41RQsF{>yvy<Th3Z<NE)*CzG$Z<L@7x%gy
zE$~Ul_GL)*Y$m5YKwH~Vj+Xj^!ku!ti$2?&TQFz;mM;Ts`T#KU)tI;GPh(&)dZFhO
z3OY7$lAhh&DkJlK(CZ1@!<gAdEhdP>5FrxqI)o`Vvc2yP(YXh)W|6W2K&RneD!l^&
zAo6ra+tBLlRxEbJ4796HcH3KCN8u*T2HIqUeiCfjj^Hh*czv1cv6$xt>I-~dGy=r8
zThZuSi9~~n=9c&IQ^wShmT^lDUbns9_L*q3*E(_T%s&DCz*gTl^fX#HHxN%icp45`
zC-7l&#jzRG`WfbM&Mw-(gISyM4|EIHygt<YjtvjgsgYPTb?+sOhRXV_R^r!EQT6FY
zwVKc6^3`g?Jv&4<#_TNJ7c(>7bM;9r-Q*rl?A?2Ke#TNO(e(8@xzcava?{iG`t)=T
z|CzIUcRw#}q1%qkPFg!+=nOsfQX2d3y#|E=FGR#4mC52&&$T)<SuVw!_sS@2?uitf
z_208+D_7gt9l*(@`s$qH0v%F>?<F7G(fV`-E8nq=Syh{JXvEP%f}KN&@u(EZq8;A}
zcu`xmyKN#Zo(D3uTs@~<LB9O-Ht%Vsw4<4oYPB?qkBlT(-+@&NusRO>5S~O{?}d)n
zHsOH@t)M;Lq-~<^)g}OCP*(T>OK`S%QhraKlHb#s(QG@~VoM5J@`&@}+;e$o2l=0m
zBA>kby=G4HekpmpjHR}rIJSEV`YiPtQmA&WYMG*g_xGDqc!jTNPnRXd?*c=JE5?@6
zx+PK`nbwxtUFH;;SI``4FdIocIv=B<<;OgxlxLu)PLGr$#97V{I~K=*d6BS*Dpq_`
zZxK75^h-;Wq+Ok>uZOV?<{JE!{$V_9ZI{>K-Zju)m9qv7G8;`RP0_CFKs%a7%DFkj
zRHV1c_UPS6-4Gg^N<@p7%V4B`51*NSRly4W-^4Z5rqj8rkLnQ$ZcKQ80(BME@o%RR
zaaFoI8qHjdBy|{Wl!u>b9SWW@j$ibZYZ$)-eC=R2w=v%q){r6tl!DYN4txqMcAp#7
z-f-j+^bPEY8ntHedJ-h>a_(!L`E2KKfC44J?5NT8H{;hFQ7n)pwP`-}cEp+5u|z~4
z?#yH!L{A+;E)<X=Z)5%rS^>f0BavHqb}P@`#IrX!Wolt|eik-)E=dF^@K`uzS0V|0
zP^T~(5Ssd6!|R%e*fD+BN+ut)1A&;MwR~uCcBV98+l@PD$;48vSnO7w-O95!@$5}b
zS@-=#HMy{`@(Pu55-ICv)$d0VD=}LiL>AGx0Oue%T?rqd%)aN&28ca8Y)qVW%nq1B
zKwLO6(O8aUANYIrWPr*SS37+&ht_9xIx8r(t+QqY{7y7k>5HYM4otA|dD0H^@BS%t
z@@>r%9HW`XM5YA|nb;gl4Opm_Dnf!WQ0_Scfal4S2lk4N)@s^J>BG>q$QbZ@AZa_+
z(wS(ry8J$q8FVKTvP+v(Gk;nt{xp>yoiD_AEKyz@6)aeqoV4#U2}ie+#R5$Ratm4*
zPS_{#gFl13_!08uzU(GK-y)TtjZ1r_crTA`svGrIEwJ-`N?urz@2$wyr<fdxa{1$q
zckz>ttGj6x=2P!~i`3ngy4!N~miMzhpL;~gAMwn;_kc$mvoGn^OL!OoXAA)AhNfr7
zEKHrldoB73`eDXU*CPpYoXF>;T~00Vg_9rQY+-yn%I(0AU&|k>Ntt_h*`iSE^uZW&
zGkc+mOzlTqJu6j}a(2txm#@t%vmr!GCihG@IX7Rf)XN13SIk~Y`B+{e$MvfZEiadu
z4#LStOL+wTc+bv|vMOFYu1(Cj{c=2KRHM1p!S&bM((rsD#9Yns1o^8`QFb0RrS}_z
z`$@(-AWd_~Z$BYliQ|VFrf~XU&p2H+Fqg`=Q11}2!;^$i8(zKlIeLPVBob%7#2I}J
z^2MAj<;-zYXz1z*(+mJT3*Enz&s5{|HJCfbLjjtge(SR^10lx$1$sXj#-mV^!kh?d
zr4%4GR?;`;N5Kt#A!!*iMU6S-aIO0#-Zkb#AqH`F6>$r;L0(WqL;xi0>gIf-iB{cP
zs<kjZJ2DZunadUw!irzLe#I5*ubxLnaW0EEHZoDJPcQsB9D|7KQTCjwsSn_yrsizM
zrH^z!p;9|!WH_YZF>p@ttV(V3f`@i#1efXZjSH1ZbPQ{{r^jNI%EFC&XL_X6{jQDw
zunpvmwpux|&WrUUE6TocB$u;w(m*z}Vy3iBUh$8hB#-$Lc+77w7P~KZGbdu`{`eE!
z-^9cTHjr{P?vjE*eN6yMa0L)2-=%8itVq!Y!$wmrb014E60D@MD=U-bNJa*mh~jvy
zuQOGO;XI0GLOOcML7ef4#hm&88(^)Mhr(3_(<^Rno|cAA8_j6(+osmVX;%2q9TuE_
zrq-UR$>0Y1PTh0|xU`KGBQ@V1=tqaK*5OXjfmq*+Z-Enm4zdS>FVca9mH#GhDsU!<
z+BJ=44d98GNGN8YF0c`g;(vpb^j5Gfwz$4U>Dyf#-QA*8u0``!OAGR9OMW3D@Yaqu
zaQJC$nVX(oRVOKcbx-Ks=IC_NvOQYvoowsIwsq^<PFvf$<rChp=9}5h)2rAmNjHsM
z0G}3_^iN>v_!uk}S0Q3w$LoW_&Nl0q^eKaS0p)EoUp1J+41q`V@F1JqTe<l}MMlt>
zgYLL(ciBbn{?!!zyZ<2mQ}5@N6dl2fwmjO_We$VvNLlCiyZ^ITY~6H|*l4v+|KIQa
z!6N??AD4lNFYEE+9_Iy}k?xArW5jkvnBpJN3Hc@6a1OeqD9BW`HBV!q#zpc&P-ls=
z%Ib2SJO07Do;Y&!)vrE!1e?a@A-b!0e;MaO0Vj?sov<Ga+mY1K+iyRbj@XeS;aDs@
z`XW1_w$WDi!)VhAA)41pr9w#ElUH~2l{kYX?Zti-E)*;eRS7GROuQ%(sXj#CvWA1U
zldS^|*Yw~}=-J7rox0pbY<XT8hw$jzv5J971QZCjg?G#ArC(dz0mv^U{`lhJq4t0K
z!WX`<RVkNa`27M_P*t|{WVPkgce=3U?g4b5Hlx}tE{1K5XR&o1`Vb&*(S5icmcBb+
z^>Q^;(gDBz!uvzp-#Pln-qB`*-su?&#OL<X+t<yt`S}tOGEt6&q1wq0o-57IubueP
z<BvbSxp(UEC!c&$sV5(w+PnF<?siMMU6G&GmOPDAE~AT5<O)<Y>~2-mREtFw<Uz0K
z`Gxks4o1>Mv=E1NCUMc=FejTUq&KKB>TeoWddhQ6$Um6Z^<1s5I%H*p@h>IqQ20{^
z5o7MIG5%CIWG8<~y~3<!zU=-;=AtmRsJLizF&JJzeus*zU*5dP3IxL!Wg_=O=yCjC
z_{MEmC=VhZF(p>xcIUSeaUe~Q(tuYD@IGLlLtwC(55zigS+;p<pr%$iAwJMbsZkUS
zt@;4PO`QR|RBEhoy9dl&p#zTGgm|zO<MUflzRk@|hBPrw%8mElG}GS7iWdAVWV_x|
zo6fe`5F32AgR<K@9qLVNZ+lC(fwr6hZEs^>x6M4fMYvEl*s)rG3vFlyB0UM*fr9Cy
z`|D~@B9oiQGW_a1YtGk@p3L81kr80=P5eIdCkSV*_>rWu)0o3gAv2X^qvDDIazrht
z0n+P)G=~r*2efl1F2}M)KO4qG!u)7&qZnh1MkpV69)VSm4doSZ2Fsgzt5qufF0_^q
zi}Ljs8;QNuUkr=;F;2bwdqRGYm$c{1ylv2l))a6wFSxvU+_c*LBl98$hC-wJ^qRC+
z_9#_bic1;T#RTI;I~JoPDZpGK?u=;!nS+#O^^k45(Xob42X|*bqLXx5ZE5_*p2#})
zjLvai0o<n4+mX#eRkC*ZOJ(dV@12BrzgM7iun(I;EL&+sZdIHrE2Vi=L7I<a$C&Ze
zRf71oUJG~xVDRW@uK)y$&Wf252tw-TE*Sk+Ce{FGLYfCZlSzgY;BYQjlr~&G*1MwS
zx`p@N4;l^lL!rc@?pbSXW+tGb5#-JZhc-5@W4)58H}9U|`$dbIW&^Cym~c-&gq<qa
z!`v<<5>1A$TU{jxpRi5U*ra>9ApjsPbwKYOSfDo`>)iz?ggibO%65#uaeqlRjt>of
z1^QIbe?Uu;s*9>V;76deOroJuz{g2_AzRD0<n2hjk>0^yZ&%%JYuhWNx_foGXUH}W
zeMYtmAS<*c9oL)|d11h-uw~gb3pD1*k^c0sUA^9eJh)Vk-r(f2hiXzq_C@38uK+$3
z%oCTx)Bi9aL_Zd$^C8(&weu8EMuue_76h?PNn#UyM=3nYY>cJgIUCq#tMlCd+j_ko
z4AzqtmJ=u4vo9u-HKdzKskb>N-G|k$z3Nr3D!;1St%bt}3fyp{aFK0aBxeT{GTIL*
z{Q&cs_BYL!bhnY!F;zoyl(#W?4NlPh0cn4FuxU1Y#y6}~d><VoOa7WK=6ff|P&`e*
zqh=GPM$G>jyfzR9?ByKStVh|HD;MN<gHOQUf4*yZW8L16*Z{l(?^6FrEAGwu@HGTQ
zPE16nf>SY^!KySFL|As5XGbI$|44kIQJ;kEH#WUAm6)hECXj(FKD|_lPdew}@G{#v
zRGEr~5Atj|Xvfq~(Q<pUK7b0@$V6;%p~{B%VBh%_vJT)#e0-drQ4LghhEtwROz<om
zT4q}p+mUMZAkUV=AtEnj>W+F+eHHl;t|4V}69i3qlxb`YR-6d4+MuZ&ERRun@++bb
z!_JUZuoucg`rTh@?rZopZ<l#f6g?4fF&wbTdXg2qArhW9@u>6lrI!?gfpq;9CFDh(
z@M8<8q;31lM-ygeIsRr+&4oSgzSHiRI_Y(L9`^^Q!WN=c5hO4*mR*dMin&FVNtfQk
zHre)DCa1acj%nM!k?(#EHrHJ{pK~5Kqh<GxIIHk!;U-rjP`m<!6PXPcHUS}44p+Po
zTV?-@;FaN}eq$yXjatmH9UiruIjh3JqY77A^CS(l0O#fp&6TXvt5+(`hLKE%8M@g@
zaE!AkDr_^Li5r(ycp_yu>Rre2yDcSC_0iD~ggoGf<9m!_N5wgK1AZ8pd42>dF#jV~
zBYzy3<|(<mHm`njm{vZ(!f7ajLqNnt3IF9}2=djpNQfXsZ#y;b1#Kss38b0QbGp^v
z#wn|qro4kg8TredQ>%E=dvO5q`05*o*jE!1D=IYl*MP{%#Dv;$AKr3L``UpBWg6`(
zhrl+pe9QY@ahvg*R*WRpll|_+=isw8=I3+CQOg=l=H}-&ZZM*o`Ne0+>DC35^xEb;
zX89(;3$`$i#kIGDB(7};7#)O^X~9LSI;3}?HdCcjyb-QI!yZLHEa-5RpuVfVMb(HM
z!?y0&DGqk?gXKL49ffURET0dCrs4DeBBtjA8;#8#bGL_Kbbr(?H^WSr%tmf&*hn;$
z9jn@-BQvCeE&So}E$8<(N8e=5M6C0HpiWhbvw&Eqg*s);TYtVp*$sj72WS-C-LLb*
z)Ant281Xow)2t&kw5q`Sh$lK%4#jvZgSC8AxGUuh)70rWa+H><jDSs}47auc4bbth
z1d2y2bpn<6L`!<yVnb{<5ZLCJf{Y=%vEP^U^?O)e$W<Nd0k&<trXW&EcI0B7o}3xT
z0(s|DD0(9%mPq`*c>IUzZ`F22^VQ!O$o9Avk6d{JmcH1x#uJxoTjMtH&U|A7`I^0>
zGwdrRup8gwnBt)-YyL|XL9R+hv5x78M{<jGGXjI(ZL(J)3@cSh$p!{6hWAb#xDWP#
zGUK+km3u48bA)#VG{p5B^qUx6fka~L1Y~}^22@RHpGS-AkPsLA+QG28%QmV@CSq%;
zYNpE>>`G4F?ukv1po8!@{D^wZ#)!KG{fKAjhG0xzaDt2l>{A`=*?0^+aP_sp8P4c$
z0~TF>o|bTL%$c^%?Z`)-kawQwzv4~hAh2FPWY(b!)N`IP!3ok9Wf(tj{1W&oQoage
zZAFI3(J})~6gnv2EtmoQi>wRr#SC`RbCAS6P^|O8RcY@8v9f6=rIrw|nQBLH)wW~b
z^k=PN)*pyZSC_iqSgKCP1L_pivq-lC?u0cItsnBo@esK4PSoH1-HacZ%@>f|5h)iJ
zn4hnE=JVL6=d18Y{iL2V^~h`g2z4X<4_Gm+bD`x|S1{eJV5Ob*{sBk0RSGf2U{GD6
zU6I*U<PUgQun!VzFyn9$xWiWE$hHXs{A-r#$nL|H>T-z+4(DdW_F;dvFc(f?FCItp
zjHWZ;jitTVVTdUZ)pR%zPvkQBLe@W@3oE~6<qGpr<a!GPkjgKH9UFt8gde-_C@Y!8
z-mvR<G>Bl25gW&RrclUQ^Z5ui=DAj>`9cKy)mYi$Tqc4IMbK6)uC_AaSV*CTK*)w?
z7VyP+BwN@}ljSmu!TAMb_eZ2vENll=jC;%`v5Qa;COd8d!?*J*u#6!X3R#hCZf#<u
zm?+dIMn|}L2|P@8D46&!@+8AegMK^{3Z+V62*L0lI<n3zblexfr|}Z#aYoN2Y{_MK
z1aIm2m>suGPRhYIArCTHHi)}{p8|%0YgTB3E&1WqAg`ie%mJ{CwWz1#s=(g8M-G&~
zE_kg@QrYaD*tUwtTG(ACAIMtm=KM{;;G63z@HS<=^ic>7*;M=;`NhQpPncOBVjmb3
zc`&8gj*txX;4b_)$4bF`A&SN9rQmeUua36%wzAn5ak0dVn(9PuUBUL&Eh9EKu^>M1
zf-T>>eLn-ba`~Ak0(g*`ltfOzU?zAfvaMGPsB3+TO2h{1tm0S8#aj5&;s3(zg2tFg
zP^0l@VP4fsys$|S@zBOHVC<@5mEbL{u1zEBswx&8H-9Nt#>VXM{m0`aATzX7tAZ+d
zRV;ARl`dJ%g_>On-E1JN-^cd`x$j%4mMS3a;Vg_U6LCh>qEarDNb!w)b2^6np@o1`
zYi?pPQA8zjzYDU@Vos;dwgYj9{>fEDgc<v}U?{C}G7FOPZD>hH?iihe*tc%X(S6nR
zRIiP_?pkA7PKFez6R@8c19R_0oiIh+ZF8o!I_9)jwtb2g<?fETp(;E>-zW?0Xq)>!
z`bH3#MJ<anyY2&7HgO5~qbX5Sl6aoQCRy+!V6TSCWPjdnJHA!jLj?3`QkG_kkoz$$
ztm3sGohOzv!BFgICUZ0v3TBp{Fm6+c`fc5yuvd?Lr74vFOFnm{ZTS=GhR1@;*&2LI
zRam9PT(L)!$)n5_tHqrjwYSdr;B!r7uwx*ec8mEKOIz5@EhJ+NVQ?FE>}lUkkdDwl
zTBxgqstE-pH95W4WA8UW(*rF%*3-jqAaa5zm~c@OGRkjq<D4~5**1MXxlPM#-3z8V
zx12zCS_6I5kM#GA2HCV1EC^O;dHOlx_LJYwBxf`;lOu@erx=n6Cs}P($7YJ|jY{M!
z7)H*0jE~{N-nb8uV`YrpQIkG)TPM@oI}qvyI)zU?+3U7GVJ8h7dMC<<QvS#A49|e4
zwFTQdx_X}J;3GQFsBh9S@9*?|047ACQ|(~DceBgdYK2ZW7?q;&zV2W?l`sAk*<)J6
z9N(?JmPKorp~zdC5-JJ$(bvEe)GcA104YP5gi}SDF4?qNLR4V2qOE*K4<4MEo}M{)
z@ThyXx6x=|=c^?4s0rA?V7lh_BSUO17W4-bb_~epk0P-l)PV#x6(0%s4;PC?JK&E^
zM(joGV-sr>QlkJAXEz*v4MI}@VWnYzA{okqr!ab3A6lw9eeoriUw+BO(^cg?{~36v
z0~9xc3D8I?oB>y5Hb?Gy7)=H2(O9H}?O>4P#)f+JtrE6bgN?+WL(am09Y}TmjIZY3
zJFsa`GUQL-5J+-AS;mR$gC{55DpqE{oUufG83{KK73?~MC~W~`+C8KrjtZO;u`MKX
z4i+#}h@$jbfRGr6Bige|!ZMD{@Pup~P14aJiN&5wbszE@J<mdDT}w=iEma&n5s&}2
zdgSFVfBAt%_nDw&YGG?Rr_!af>yQ34tv*OC@JJkX4VaL;IlLaAFhxD0kVV5{P;4Pt
zrT_8n3$MEBs{2Cq)27BOmWw(yF0F>%`<lOCTLHAmtOa}p__*scsQDJ)Cv<&Bw2p~B
zE%Oo1ktWDl4KCR!OR~g!sGp!j>Yy${ElMnHlqE>rn(j3Z-$qy32WDz2pPvo}omCWA
z$lPwPG={7@KoFIy|Mkw=r1Lf)(nv4wdBL99S%hwBuGng~x7_6h?iu)p6Hc|_p7mfs
zooWK>Q?K>C4!8v7O#%k%2GWpJC0VDS1fjq#LevDXg!c*i(#bS>3*cFU4kHGvOAw6!
zRsyc*s}wd!b~3AewtKt!*{QvIr&5uqN#}Wu&f|%V_*$J7XJkDgpQJnj2yWsRKil$S
zJjBX}bl+3h`!3}q_I$lg>RG|E_nyOfv(irE$(0p6iYz8891dxPKRw5_Bg+Us-1hzN
zzF*a{jA2gfxYrsH0-zvFYZ;utBmRi4PeD;w7Ucu7FD-s+nL*f`$P19VsY{8}s%25i
z;smm^B&`zEI>%6t5%MWw8C54BU>)!z<K1Xt0Ev&qQpeenJiWJ8)>}Cqpd~+69uG|$
z$$UCAUe+5=9-#d_R-Reb=D<zL+t2o~6|XI<C$THXJN!JoskZk#ANX~zrTuQxPftGj
z8=1ATpKoI7;kb(YFO-aVild_KaR4o5H5+htY1&YF$kzLq>Df?oRt_yOT;u~`14XRU
z1U>0yq{${;=Q0e3O>l_aWcELo37&PBhC-qGa&^x?|MNdv>a36TjqcQ_m(@NvSvwD4
zMFr~(WA*CptG@cxuVNJjZ=4rl0tgak-rx@6A3E4m@DATYzV}0x-o4APMqd#(7`$i#
zkT^tQC2%)&)glORp25hJ#bD|bhKmvKOoc&hFdFdnFf46jy-{?fcZ@OVRp*xx#(-mC
zUOP6lk7C}*URlwLxouJm$VL;DO;^q4W;~8nUln;crWRc`?4Dg4jba~<InL@6mms(E
zR_|5hZsTiw6X&kAaa`lxX<i^!2$YLAX)?7#+Bq~byV;gHonaHmB6cK+M&~HHj9(m$
zg0FEMix>WnP|EvP8G+o{eQxU%`Y5a5#ASKU+aUbRFwhulf|0qNmqF;BatGNx>v=v-
zLL1@xaKKRPqJ@wA+m8eml#6XcPibb#f?Dek24ru}z&(8Z0Z3!$s2rNXf8G_A?)ksq
z0DWc_{|#TAIXF&tVwW*moSuK41=kJD!hKxpIZ0GM*a$&bUNPM33mE5f2wcydZ6z{Q
zbz1O<?O(7w*228OTyXdMeDG>vudP1qW-u5Ib2lafN03G2u~)OfM55!njl_?s*|{$H
z;n{`!Dsx4lAVM$eY4KHOlH3vnXWroC*1RYtTl_IMJKI7gy_*q;v(jm-Xf>w@iqlVF
z@y{FN<{J=7>9ljUJF3~1wxKyVC*<wgU&XogM$D~m@co$Y3BU;??J9r-5oL4Y*>ePs
z1}gX3=s{@TD${@TAcTD8#vc1@6oH>Y0zd;+U+n5(5H+1`d2dn`AfC3J-=}$j^Wj=T
z6K|2RT6jZxw0HrqhKk;F!HhEl@lCwsyqIhE#$*wm&TFBu|A_BLeV+mc+32%?(rRd=
ze2Oug1|dcwu9&fk058=G5l*RMV!ouf(<`E;<+(%+Xzk~zp?BcynPs?c-sA<8WojS^
zo$hphNmZzWZP64uM`^lj%%j`74CW;`C-oui{Ne)2t0_G-w6yyPL<dJAn=%}uZxBR&
z0~Q>zM4dD*ISH3Md<{J{kSA&zRuR)YCRF!bH2?Nq=lO=d@^9hId<kC9AEa_73XRB@
zU|#NGt?y-^qXop3+=m?ZzF7$dJs;7K1~6=OI>PXae;7(g`%SG;<H%nraU5*gj7-gq
zi%a+ftupwB#9GDG^`LG^D}p*O0MGN^x?X<beC}XJvbDv9S|L{)$MOijAL;Pwg{A%b
zrjYqJGPQ62o_rlHEQTi}#*4W^ZDFC7%U*|#0153d{9$m2<t8TKX$6!|PEKHRNEAiF
zAkE}c&d_)UjTv5#jwq{~NM&ulj4zF*uzegH{eb|IH;<&SqEY+J{5Enpmn}6CkAIh~
ze=cYRvBgn5zq7)Ze+OG}z*v?*>E~c??~TE2z7IlI3u!=!x<nx50Z0QT{vz6e{23D_
z0mL{6QqBdiInbT1Np0{s4BQERdYT9L><B7CuR5B^=Q9(N27Dn{0MX%<VI!si-Tq4M
zSq~c=Eok#J4_k5UTqdwoIXFcD$Q0mcMdO-2AKN`{kDcZxcV7~ZKik2>JcBha*cToN
z>U7-g<$6`)J(!b!414W8PTtnH^G^S)>&_B7WE}`jxMR#PngGA&0;7r%1W8~#`)nJl
z-f9T8I7>C#duP`B3=|Fb8E2AS{f4lD-xgMYV;kNjPhd~md$Hm*F!b3x`l@yNHdpGa
zcgouW_AT<fsjqRft<P@@Z~BIlnV56XrniZ{oGN|I^;Ppevgv(kU#+u$Y2P!HjkV9u
zYQYawKrB91qRdvSRim%FYZD-X>~lmatO|C8E1E=%+$HX=S(DNFoVBz~+p0+B5SchE
zpZsEpF<~_?1352n6Tz(8Ioq9H0$+LRQF&^C><uMPc_gxB2x>!$`2gV&@<pLv-v`<l
z^)>Vkl)vQrrsiKdipw$oz{UVnCnN^!c6}rO=ZlM{LAp$E&8=n3!fUZ_=t)V^iVeG?
zp8@)d;h)S-pM~&x_Y6cf_$<@qv(Wug@?DG<`f##nm1z3l#*eg0l&s<(dGo%X@?NL|
z-fZ;UKN=ewi|2EZ8HCjVwlu|#S=LM>myh?ZdA}ad7s~mO{Ivcp7xHmzSd-^(-COrt
zkfhzOaK1~y?0H{_U&j3~`K6`%iq_Y?-?8PrnDc(`J%~ohMdJA@tiV35G{8r0><d^|
z<l~XtzPc3Db&V?vSgd|25AnjKJY3mVM^*7{p7)z?a_9z=TwAq$MM&%S0z*V*mMqDL
z2U>SB&=whukFnB0aE?3%$$gjHCS_bjDRLVI4wK?6GKHC_M`@5@ffeb59KQvG{;mhX
z9n>EzQjZF0$WgD0(jif})*({IHEH#cn?r~LW%F3l(CT{>O~5ZxLF~W|_{cccD%|X3
zB*feS?k`d<<_n@M)^|fhTD657VEg7Q4~7E+1(!@Ay8_}isI$qAOq@_e4u*7~i3fo%
zbtk1BC28&S0h)6;I5lwPJG4+?daV;FX1tod<R-ZCG7o~QF$b1PonY3j>2=FG?8n;p
zmmEIK-@$u-I;;(~wY%bB{~^e$yIyx_;Ycd8yN%AU27FE|r4Kv@Ie2m*?g#+<p*T+z
z@FIrfDr2mVPMHNp0Cu4NF^`Ir^&^lV8lOOzt=<*D(N}xA8r{f(Ni7`&i0ffmRc&Hk
z%?n20QKN%(|BlWq2d5A%&Z_}@(Rh{l*n(HTU4bt3THm(s57A$<=Qh<^EeASzc61ax
zS)GOj^KJ-XP;dlNL9jr_nQzFgz+L7v83H`O3xw(Mo{leeYBfC@Sn9=96g)L8dVwl?
zywx$~?c2Am`6#LgX?mMw(Ax^X8sEKws-7ky?DeYzE*9g#g7%gGId@Ma@;z@#n)e{Z
znA}2*fZtho_9`Lcd(<9j#9a4Pea$`hptb&2^>RYzxRb*@roN3&=x_Xcefe$VEs=o_
z)lHk#gZy&OyQJ<J9~R&^-|Br=L>hE#8pQ2s>?waIvMzb!y?U`X!u9}3>e0jlKg}M3
z{onxfq`AYXvA)URd+OX94uyc%03p`lU@!;~<Opgq0=^Wy!-M9CKaGYkZPPSgtb5Ci
z*^@1HtA&*Lg$g?JBFqI+U`KQT#!Odx6bwM+a_JV#7U^8hWELQ?c(0`nvvWD12H)-A
zbl0=p`?YOp*R!7-@=<85IrO7iFiW{sUM<(CGhenIQcpszIfMw@SNPtBU3EZxfS$2j
z5YDvXOT2bzLmN1#w^Aj;KMVx_IV`7%3a)sgK$CiwGw~m$(Wau?)HE!H5e^fFtE!_I
z*dl8i_beD0#s;BEmx||4uQ#Y)noQmw9~qsU-M4Rcc61~W3?|&GcqsIFFFG^ODVe;q
zPQ!z<T;bC1cLqx`8LM^arGsxla_V2)UGu+>PE8_h1mgWBr$*!P{;O-e^sM$#Zs~8e
zJ2_Z_H(c8Pef(mG6tp)%HS8c-l>6-(?kG%37@8P*I22y0z-Y+GVdn6k{V~U%-{Xzm
z$Aoonx$OO^e(p{=T62C+mB)G*O()l5s6oDCY7sf-8QtKBEP6%IJWILmwyzdxLE6%b
zh;$|TSiT2&+=unn>yWY@@V%oqV;Htg)bzqZ>!rJAL&L^_cV;ditFW1D#?ZfJCp{o)
z_5<*seKL!BgGwlXER^t%>_j9o`WT&kJ!12!>d8Ly*Z`aymHy3M%;|ReaQG9#Zbt}L
z0~r9Q&j@jbEA;s#9!r?1%MWuZ-{oz%<9(+i%R1}s9UYKSBw~24b3-A(NDN~XWwo8g
zC@|WhzS|HTG`4+!R_r>MghAFrtoaqD$TzBA*Cz;2lAeQul80$bFvubyM8oa?@qm^t
z(|c3~Xqd9Md~O|3(;#q;I^b2HLCH|bfL7uf2?jP@tpkGuDW>dBA!{(p@JmsKA)KN=
zSU3!VAZ1yT_+V|xp%qAN)272Sn!Y*e4r*=ciK6?x>?|MR!?TdNP)FOI27_JEWXCw5
zJE%mS!nGq6^rxw_n@B&zLcM!)I<j{m1WM-o&pGBqEMosj6PhY&n!6&kRGR6g@MSu<
z3A@UrvD%p2H+&-8(%nLkvi@Ipkoq0+eA|a}F+if)G5zXP0hd_rFcy>Ge)sK(L@trf
zCFAjAE|1d$<G)N_622GsuGSf5^-4aP7WvsQ8&PhiEC!4N<$C{QhT|OP{-GmOP}o^*
zm+xIZ0MaU2ZL4^*8ch{PuNf^Oz7Ty>s!)(W(_c>kf^kz@v|r<(jp=g14$sXY&B9a$
zTP{X3Q={qZ_+&Oa$v@M3b3L9-j~-(i{5v5(^f<dQ%uDFGiO$AWcRKEUKQWWyY)SU}
z+>b5qI7)e>NvN+E&b>}jN4H_WzCvNLl#S+cr4kakW=oTW0=8b@_eHu{<hdKVbW!%I
zVUm;>jF<6vF2>9>M22iKnSJT7#f4s7poVe04t^Er(2h^V%>u#kqAhqs>xmqqb*$E=
z4MS^|7-{N;yo<5s{tA4Qh|RFSbuRrUYj^fU+gAm-_C^=Wa!7L(Lvv60WkLT5g>1pd
z%8XRW$QexF!?XPT-@;-XJ(5_2t~8&Ky^C6>ow3G%yB?3OHrs~7|4+QC+u!W|p>7b(
zA_MW8`N*5$CI1vpD*CXAJX)Yt(C!Wph(#E1#yaj;E$GzOL!-V;=ZO(sM6N2qH0-~g
z|8$A)V^ZkwQcA~O2X$3)iJ_<lSm}GclZt%L+%bm>@!G?b%;hmB<tH{ed17<3t^e0q
zB2c~6<^wHhsAZUv_qyE@mJN~D{f~1}h;$D7$~N-&T&4F>yC18A`z_NX`Lp$3Qv;yz
zY<eu)AYW*Vk<*P`@Img3`T6z3dxrw%gKkubdo~zOwC%uT7xb(p?x)l^HVkOpr-wz!
z><S>VhrqS%d(Xc#WS?#9&~pNAco+nB#R)w(=nf6c-4X?*Xr1f}3>t>J)U_^@cApdO
zo*lyHj|qDIpnb0RpXU+q=MMOB;eQ$C$sb0h$=5PY(aEtTsRB4Jkb7{_ryfNm)YYiO
zh9I6r@=J0NS{2AH^_7kI2|m8sFeO15T@;}<br1+5Mt7D?^F+@uP1Dw}UIC>W;dd^~
zOk1hQ_|gEw)r>?z8d=%gJiWQ89w2AMgPSIDTKMa>{CF~1wU}~iB%DV6t^qcz*>1(<
zxI8<FCM6s~uP!N;rdLqXmR9+*LcUDD?w?wh!R~#D?~Ma6l@1CNp)^1=W>`7pNhvGv
z+zB1mhB<UV0|_%2{^5y`u4|sq&!I%G?}N<AOqi5CeFkb+7cc>f3thElW}2MHVE2>U
z1Xm)g(mUSgNzd<bJ?Tq@0Z;m3Et^wY(%%_Ak7nK$!wS{5nYr3nEE;<oUx_!*bie&<
zeXsGjmf=Lduj+Ns&a}%ZTN}e5y>J>P2n03z5?lz@LiW+v3m8Hc5`@}Xu@)B&uN+=j
zv{ux_<kHF#mRxQDPzE1@ML(qJzkv|#F9y*`HOF-otj`C-Vb<q^#{>X4{-H>7e~3n8
z+&k9g*jM95?IEUlP8;+ojD;X-Q&cnO6tW7m@btvArXISI7Spr<hYu%VZBSU(?a)G`
zx31P#O^}cd__E#5Y`#Teu#NCnqI%hM_hx3x67p?Yg}1Ho@hWWpxk7AoG*-yj(`h>s
zu#3n*6v$QTDSsFyonR=Nt=F@;U=Svrus>C=<bq+VP{cYtJFTv{?6S+!v1D!yd#nY*
zIc%35%oihxV0t`0n~v7v>0D|gTbZ6prb4+wv>1$y$Hy{>F+^0PlWhOS<HwH|Vs`G}
z!JHi{9FJuS1%IeGmsO=`Abp@1RE4=9H+l@r6;-f!ARUO7RCcZy@?&Xp>{s^g-J8l~
zVzZYP1I0}%7RIZC`9?OD&c_1rJ=t_DJr$fOWU>eoiH36Psn}RP9ZpPT(+O-Boy(AB
zp#nNF!;7%}T?>BrBZ%C7pYPMYuYrO!1$x){6{s;8BoxZk7FWbEkyDBUO%$!|j%#WT
z)F6BGJOGRstg*Wd;nR*TLn{xlow!~{5?tT_>4I$<EZD%P*KLnD4`Z9Pnk;Qmz^8bx
zrSVOVux+I7l!BAUT%0y1eWjaj=}-~iJ&4SHF&laDI2DEi(dYpLgr788#b-xqwfSrI
zXVj)C(R;ZltW)hpSEVl`;wgQW`e%H@gr3V0m`)V}DVp>L;j_+(2TuYILLO5F=P*}`
z5cQaT4q;4HaA7hl&YHxG^`@hNJC}HLu!dyH={+!{#_l$rojAT?0PGHXDY<H8GLuAu
z?v4k5eW7HY0Y2p&2v2!meRaYW+}*Q55x%2eDu`!3Y*S_SUo&5;jeM3RPrI1s`LwiK
zdeSrEZmFm41xoxrAIAPH^#2*(Z~S{4`P|us*>y6fT}uuAwFZA@7_sfrF#c5re<(K^
zu8^Fa|4U?xYr_0@LHFkv{qw6b|E8F5F74;v4k^y5EQNc#p#kggaYX0ei@kB)!^rdV
z%m}?qoP)f6Hzyyg@mywurm@1WV&go{NLm8Xn%0mpH$3<G<NK!|5w}i~5mQl;;7zgf
zZJL)kQ~UG7-6^|wD>Ns!Q_P#)o4;GI<L`m?bv<mRuR|>QW4@31zJ8w3Vh{u&_OCpH
zKd0p{yGQfI5oB1MdVZ(z4u=yU9=^(8`0ysP?b+<e-l_LLKO^ia+~-)ytm#wd%`)`)
zX5WwdKJ5Gac}ASlo0BPbkoqo^J}J$KIfLfpKG{vAe8HwZI|tPT>aOeX?8EkI9t=T5
z7aNO~D@(h_Sc^&*Jj6ExVp=AGIFy2~r~+qF>JgUkZ-wm`qU7&akUdb}ipCKj#yU6|
zKE`}h9C7Cr&`z<XmX_GclmTu|!N=xG_2vV#2Y}61=GWHN7Wsi&%<<(p1#NSjzl3~x
z9qiY09C2W;L43x0eV_3CBF4F2L&L6uSZKiI`>?kZR-j%%B!VqVWb<dKuRRz2th50o
z%(2&Ki;Y-lni%m$0Ykpg^l2#SjxW^d;3yQEk?58g77>dH2*>$hPT*s4PfrZ30H^o^
z$jK3pO-yb?A{&zvOl6pS;BI87*k3GIuIBY~88lT6BW>880|%A@gG?HOCohMa&MWq}
zy%!!~yRXvg1A&!Lx;j5!ua^RWQoTMuUrmQrZmQSozdp7wKZo&T-mgv{-QLfYy8nW6
z>NyF{)_S;10Yb|TooW*OLCG;UjK1C`#E4Ne)JVb`E(TpV(S7o4G{nVu#27gk;?q|c
zj<ec89`}9bJfk8Tk{V0qzmo3Tzpg@3AHt>Gl-&WuGPrxxUJ}h_CJ655PwY`E-u&e|
z$j<TYR5Xfxwi<Uf=!_aVp6T4o_(XbZhof*_HhR)Si7v@|Nbi(4AN%j(?f3}&ZhV9<
zeHQukao;KEwtwLJ@4oM;fXb?=0Y1uTj(<}t7hMVF6UZ}HaYaRpj9g#ugYSK?gk&tX
zI2upM`PUHut0!FN8WjesIFq+Tb<o^K(wDipA-q5?JzSeObRq28!=q2T!{{m9bW6bu
z;ZsPT_0ZN?t>lpQoYNa2mqyX<X}L~X5^P#=(h&S`k^GeV8GVf0gJpe29#45+{Y_*>
z?0rwWca}cko?<Hjw~t$HZ`<B-Y^HTLdxJv@6An-Hq3rzP0z6Bd`CmHr?YFQpN3xx0
zQ#XvCuF0D-@dk|OjDMgZ6ozkvvbaWbm_{2RnBg1sOfnuhaXaF2(s!+6htbq4tD#IL
zRDER%8-uRj#qxVb1JPLW%4wEYKB|5_5>IA6S{bb6eR}#z?pZ&251+pM1o^D(8^OHy
zSCC_3$Rc=y?-pcedcCiW&hR^&XboH23u(#a=Qfxd%m_4|Fa~C$lRyUvYY-O94w-c?
zlzf28+T19oiUwkVMBT2kVK@lH8K3}M!JwDD``z!31#+izf!Nj98?VBU>ooKMMaL3P
ztjc&apC5hqXuc567_9qi^LY2kWO9YknmDMFkVF~psSlDTN9R%5{JM&+uSZqv`s=Sx
z&CazdXcnzk%x`OMHg$a&Sx%GXhfTv;isb9mai>AFiuRp%F+9{0PtE;^>D$EqaZWZv
zvJZ)e;3^7IIKeBiP{bJ$d)}t*Z1li-BgcxA^KpX%p<{m;b#Fti=a3ak&d)|u`Ho$5
z5Zkpev<Dg2#tNZiD*MK4Dj6z_so0_pW15~mc+s(YW1ZN4{WNxQcpUpUyfJ8%3=F?+
zx{7&2*VK_;k<^K5x|N0bJeqB#t0z(szM&&8>-r+8xw%y2Zx--hDD-yILJwG6!-o9g
z7USFEfXPp2PVYu0GjSu`QGJn!zzRSCbRupx?Ml#P-pEF!m-GsYl)bYILONa$Jnvc}
zWamt=N^l%xbr`Qtd804GX`lg+A%T3jaW3Rtn^=qEk86DqJcSKZ^lgO{?^;0B%0KZ^
zr7q4`r6o?0D?lur<PL?*66_7=>~6bD+<!UG7lhI53zw8ydSM*7YWbf0FAFxR9m;5T
zL~<3p;3UenpiE_N(M^wK0`VW_%MJuzlZ(8O@n-?-Q_!(qui?y${T~9PMGp`SKvHDF
zQv<xC^DhKNkmu9_fqfuymNdw#9Pc~*nc5TVprBlVX|l4@C?+hoT7R>g0=*3ri+c@j
zd!c?T%YC_~#<{O-4BH<ZoIQAO_K?n5jSU<orno;BQVVimobgeQc%OIncRkObrGeH{
zl?wBi@z|{(f)Lw=-8zd`Vjtvq?7C&8mapT+wS4vLt=K@!F+glOzZep43vHx3kg+=7
zSZ={bt96bYjL#x$c_x|;U<4V5FbBvlrH1`YIBd1%NM2BHG=m%KO#qYNZK$6g17qXN
zRR!UGwy5{-;$=4d{s4bD*;&=u?mq=S8w|}x?Dr!=wosU0F|yrOui}r?3b$hkDK1Sf
zmQG(4ja?NC{+<<R>)1BYk7n?#x9M1dkR$H!Ylnr@vL}VzD>lRcfp|FfjQte(W{sGK
z&9unNV0!>2t`FI;u!DW~qIDC2DWQzyKC|41ParSHn?lKC?%)`r95Fy-Lh+@rN*)YZ
z(Lz21Rn!eU1`;^&kKJBit8BBWH|z6O{dfklbT%^vR3nSTek7v-7#D+9J`^cfOyAP0
z4c;H>t*M{!?T1WoEpkb}4>TxCo+ReaK*6LR=lJrUpL3y5BZzCZNH95<cHgaL->v5s
zps_PiD#c6Fj2^WNXg#n%Fv<;>))M(_bS06?M%0zrh`IWf_r_gr`M&26%h5@vMz9N)
zGZ^MW_{)Hf?w^1<v&f;W57k88TvX3e{?X?U?xF1fI~L;@!@d_Fit|q7b@_47Cb$|i
zxm2BP(9N_B<4!N$-d%mo$O`YYU9AeKnB{;RU@`X9N?NoMN30HpCPK)iV~sT|QZIID
z%VJIgn>R(T7M#<8>cG9Lqi-_zQ1i5rvRl2AKJnNiHuuqv+Cq3M0$V{>J8X{AO%Jy#
zy<)AoZkwjXZ4di5C!v(ulpkzR?0s0^3yL#2tM7tE94pMYqpnwWltm$2$pGF0IY~=H
zMUjs%BZ0Gk3QPpot_MqJy+eg;S9Lvt2w%Z_xVXe4((2FXpaU)GK7U?=ok~I#>^2f_
z${FN>=I^@qS=&>cmjf-d`zvE>(18cuJJ7m*57V-G+9g;$mzBXbD*gAtjx-M^Znu47
z*wx`0_#=#ct4R0?boCMNZB(6=t+WJ_Q!_++t!d9btHgd{^T>WXmphnk)K`-T#;3Vs
z>;FUIj?A}-NouZva5wc5*EjE;4SMO@e7KzaSUkSCJTV!JC3Rw)?%yR6A3aSx-FrA3
z$@?2aGP~}It7RUAj@3eZ)FDv$D>?gu&-&3*%tAOLVFL=xl>ikV7>78v5+tME8FqLv
zl2T4#(M1)1?t)SYVJFG1LgaEy>FWQD=d$*re*bORL@e>5D>-X%M%%n5Wk++j1%sD{
zld1Hb+&m!>$mauz|J=Psbt-}|X1Pse$H?dEGwE<F-~By*pczhPQZJgwWMNTSi|5jT
z$zbU23{dlC_1?T?<$pqrbgu?VNJ}_!g~JNl!GXBZo2w>t4CcFl8(>XbZL6m!07UQJ
z2+p;t7kt`PtU1D6%5YlB1DITZ5rJ0p0$^DlN;8J$pFpGy##!PQ{{Y+&YHHaLNB&C5
zU<lz3gk*g5)#*?uTIila=u{}p?f{v)_`|LEs^4E8OOKVA3Z^uc87uq!tK3QlKDln^
zm!HdYgohPUOk>lDM1n58HVPihXO1b08+*j#>3~0DsbiV^gSgp(<hS+R=Q8E^f(|Zr
zu**1eBwwf3m1{5o*oGq!iDZ+~XOShjV3fl3o-&V7@{#b!K%PZzWP@^stxLjmLjFS2
zBI_N=DT#GF(bs{2zP}K7ci}ykV9TMQXUJM(0?+8+IA@24#%4g*YO}LEw8>r0($}GJ
z{02%x#`Z1Gs)r&3fX*NWh_2KS1NX*iZ)_VNE|L{32qacbkRVJcBbUNFrlAokoCgv^
z(_)*Um$^MMmr!;EyWONzxdi&i&t>EBb3$k+czf9J6Cv!q0yu||?I95kWP%YbK?LK;
zv3wls>tgY&Gk1x<jWlwZUKh6;Pc$O}W7$O^WZn+H5j7XG^hUGkb%7ZSxwUE`U3fE*
z@umxJoX3sTLy*0*so6aT5AF@?xvkx5w_kBy=acq5VP5X|X5dZax|yGaHQc8dv#S?~
zQ6dx`sg(ol;lM-&<e;Tey@A|k5QkU;C0w%E>}{VS$r3_HB2MN@&0SAPIv<5M$la{C
z;@$Nj8}R~x@RnWzN80y>)KW-q6_3PYk*RW7@1uBR&ywYzuGS;5Ja%1GR<3SgN6<(F
z`-1k?RCdXSDqthzwjKH9rJP|AxZH7S$Q2)vGaS1+y;C-E63jYcPb@4fo825Q+PhNu
z|A~7OD9MiUOf=)>zVA!znU!6cRlU~Iwe%)scdMn=UI<CFBrpY%wXnItMiOFx6lRgZ
z9@jx&z{W!vZxYzJ$6(B2L>V(IwjZZwykXBAyL@<a9%G+(P8*)zz%yjO@B9CI^WLn=
zs_qsIZmDj@-Qq_4@yEZ%9}$1vVE2r|`f#O^z*cdU%J5JwpU(|VcVBL`y0xyL)Y2RL
zSy}Ji!C6mBs@^+5Q^ec<e;5DGy3YI-M)DSnAqEDh$H9T*AZ6gF*f=?SPFZz695GMz
zzh)oZ*W|PLTp$W%E%%aQHWS;wA6qjOUy>`AN1_4jg?!soeSB!7Si}mxIQ09W@%q$l
zul6?3{4y4G7H3k~Tz)Z@&J~xJi@9`cF`vt(W{S9V#Gg(VkQpnV$>b}Qav`1eANjj3
zfKZdlkn4i0W7rAug~)s9TMQLLnm5tKFcBQ6xxlXG2YF(kTAf?XxEP5E3D1V3_fq@!
zU?}AUHwzEm{k?QLOD)hImA3xQ+}>&#U%S1gr;o;vS7@a3rz6<uC-$gbt5$>4ADaob
zjtq<hx#*x*nfZU0&Gls5_SnDw3)uo+W;KQE7v8VHYayk5G;;gxk?0!67dAEXB<5-v
z{pT8?P&qGCQ5C*C!{h5U5*9{0V}Lm~n@wO%%#8R;rP^=RN+tgYw{PyOPldzb?}sa6
zW3}4YSjDWzVyVunszt0}C={#az1Xz#S6_mE*fb`S!G0pZFMrSXv6tU=Ey!<f!Qv)L
zQ6|#$Z`K^L7=1sRgr@`llD}(ZvAa|vorACgA}RW1pO$w1`k(MGl$L*?2lK<j;0w9o
z;rsxtQ`zhQbieS$ubA(d&wzs8<!fVI!k_#8Z-*Na?|}^sNy^B5F_?*{geGDO**P8$
zBG1rbgG!p-Di_2craMo{gQ!CMt)NqlCj1v5S*VfqsO@Za(XLVE*g@EuklhHF8(i?v
z&~a^mpr+FV-Kgqd6Z>}@T%@K%UaOWWo!!tG*;dqtPuNpk7_j(&p|Da6lMa@@mJEgb
zL1b>M4THl$tO(_z0dCKYJ<CE+^mr*>YV*{O%cVSF4jXVd05c@s4McMxUP>iKs-260
z1X4hHFAmqXzG;3}K7j4quq})I0jCw!k!~wGf1XYwsUm`Hj)wgfmPKHD+~GnZlB-$d
ziC8Xyo6%!o3(X&f11URHOhoeL@ylw%v8{b{nxKHl2eYxxU-Vwv1~^ciu*r-EIEhf7
zHk__x(?M*}bS!Gn@c7u?+TdV1f~;q`=8;^}do!3A-RImS4W}-&fi+WW$R~FV>_2Y;
zjcdr_FvwEe+tXHi7{!ALj$n!|X9cDbFJ#&`k@^HGAy{=Cnhx>SeOR?3ZkFy;NMgxA
zA+D6bRUlMQmh$8ExkwCKO1)**zBQZ9P3)`hyUjL0Ye3T*9s`AlnMaNJ>}5XNd6zL4
z_|i+51+E2Rxy#OePs#2KYnfi<{hvVUi*4=$Rub<f{2=F>KxWEUVrRqu?E8}MZ!oWQ
z3A;n_38QcyYp`CT+zL%crZnbknA3%`Uj1UKa%Q&=GlziE`z*iOx6b*w?F|_It<CFW
zgu9?zL65HdfOAmOXryHA85}guHqvHra4!Ph=#Ox>rglr~slj>scJI3fCK`p*M!)^1
z&nsWkqm2Z5Vr=x#Gutns&0NM0b{FwmdE`)X1fyB(C}jCFB?~Wf*86>Hr8z!Vb{^SW
z1=3kI$D3|n+>$J0(^lX(txeD)=a=NSuvWlBU$5&tNq$AR)F?TLl!Me{>u=Z~hjR*(
z0<KTzKU(H!9^|t!+i15^63b~O*BP3@wVi4&BqspvCNt)BS{x~rP{Gz;`3x+zn1K`k
z(el*Y0qQ<gv%;Ui-MoaqQ}JXbHjGfU7(GJ=23i9L=q!SdFESiUr{bqtkozS*pxRl}
z3ha?-9WlE~rR@EVQ}q69skF-+;p{`zt(g}m!tqR<dz3>NiX9wjTvM%H(-=93s-xV*
zwVsKG6EB`=by~uj#jnA-ymDCrdjUS~`#fY%@Fbl{m`7zuB!%!e`fgJvz^e;4P&6Ad
z6FLKQ916UOcNg#$U?{o+pTxpW`UJ(SMe7)AWk`xZ8yW=cLRk7KLqMa2P(A7>62t;J
zilHRkQ^FuJlCV#AfW_3^@+OSj7mvq_*bF`r;F7;Mw1{M8XtdE79ZqB2UZL|j>~@@=
zOJxbDG=y^IlBuQ#u#y%Q!;^#g2Zj)Wn6;+4lk(65`N5N7wXP1NtD1GDn&EI}Q*(Jd
z2J>{jpi&@?zj4n!_mqOgdY!BN?#U)IxeWJ&$4@f*0G^&)o*c@<(iD!z@oA^Jf!hAt
z`HlPo!_5a<OS&2JQtQFy@B?|a>Gu7#flRld(Re%z3s!yzmElp$5w%ZJCme*G_BSw^
z0#s17t%iW07vBHQgH|6I$z`*-k&(Jv>U`_!jt<s{jgF6xV%eZuYW;{t!m$&75Hb9x
zX(y)5fLb;;j3R@=;(w4OTe<_TcZrRJcBqyNb(t0zwI<v9`OPhs@U&QrIYY#^$EhR^
z`1158Kl#Z-CX=v6j5RxR^PXMU_^x)aUaKOR_dvB)KUl+7cn3_o*~ivB9S)4`iXf0+
zB^>b--}~&d&%&3!XX)mdSt}olg%%pk7`EhPjWHCOjfK$hy?^Oi-`&zbhN27DIrlU+
zh>h3<((zu{AQ$Ep!e)C$+$3yBsMYKa%5a$wv5?Vke7w;Z$DTlLX_Ft}@*r_tKiF>Z
zBLr;wrQ*j6d_Qr;P}p9mnWrv6EJML{A^b3?;aKt<^W^10qAyN#gZfrI*4)iFan}_?
zV|$!{Y)lV>nm8{H2>r1EW=zMhdwKouiwO=0x6FfATydYb$ACo<Qiui&`64nf_)CGH
z5uuj{i2j5kGtEv+Q{Hz=mj{x*C~+RK0KJt-wVUX~RfP{iAsm^`A);QQQ40Ss@Y!K`
z;12<%9hdjPUtnGQqUo6Dd`Wm|rx0uN2y(o`a7GTJj@Yt<xzV3P{!=Sa*uvT!K2V>>
zle{`lD@oX6wpA~Z24*@wB|UQ`X~@gw^GL9qICk`&V|#YTQ9K^sz313HM~@{sfqqxN
zt^%<hZK2sd+2C99dQ0l!>wPZSqVKvb0dGFlxFgF4Ip~0I2|MK?hY8X;(&Wt!5(toT
zu?Zcp01-v1DM+dc8p37EoS85zVc6AqrsxOj)>*^36ass3<`h6yW@v!pMNxXITByEZ
zHlim_y!_<C0+Pp?flA|S`pIxq)PlRM<*K%R?Y7%)tL}#u-(9oRE%aSnv9W?=rlwk5
zSU9=Vs0^4lgel9L-%|+wG15>hJ!uXf+-4Ed&I>4%FCB*sV;*wLeaIl;n<zo{Mo(21
zp<N8U7I_l(3!11Xqv(PK_MFfyludrC>AxrhtGgc&112UKV&L#Zfx)Z)X=Gik3=S5D
zhX?YJL~)=9_W)#?JL(ql!}}R?wx=AgizIFqC%veo@YG}H0St@9r_HgUSTxu9mHpW0
zw>(s@4;2G}WTKFZAdemDO(b4W**l0#_VKtzyuoM%Njntk{HeLaTVvb%sYi0r*ih$B
z<PAW>K*V$Wv5ZmK2Y>7t=DL%7q(CuBepHAW8gvU|KJ1n>?)3J(#K#~QiuOri2I>$*
zbIp;^<48epABLp|n%_st{$O+=8W;)&hXQutGn>I+K8dZvy8m~+>g|<1pS0J8%kR1m
zMk3kGUGDrz0H5-HFgRrH^nz@|Te&Oywap(Re&TMSQ44}yvt@#&5e}lqw2BI?DNbXi
z*>N?9o0z2y4S4A2i*r}FS>$oR`}$<^FA;zo?_5Mu*HjhKKel*A*o3K8plsk$%d}hp
z&@F8e1y|^zvOX6!(T!LNp}gjlWzMRyRv|6QT#gW^bIpOpOSxY?QX6uvJuhe|LOAo3
zxB@$eSeWM^2=<W(&E)~)T))0-mIyBekTn;SZfQqZ(18nf&i)ZW<<eOOei#VtAO$=x
zVC~HRRi}Cq^XeGZV!ReG16$G<Lothqm3X|)|3q6PiNT-5-oQXJ0ZoY}ng)>uXj4{R
zNs)jC7ujtUSgDpF2nc#xpT<Q_%SCV`U_NG41*{H%NLB_Df|p{(7suRsS3bQko{7cR
zX-D*9SNKRY5!)Y!F)X$RYiVftY;E=PzTC37ZllHNiMr1k>lD&3CsVPFs0qKpBxe=|
zhKGhe!nY3}m>vv8_s63qx)-}`^D}2R`)x^sELm?u8_6(M*Zb_ezeUM6usP=dg@6X>
zutSs3S#iz~fPjrC;zFZ&ojG)~W&?e0ou!O?mMwqxyWd?bZe+rd66`i!|1i#uV`UwF
z))<~C>IGi?@MDiXmdUKA;LcmeDQ>U0Kjvlh<>|g>U-mVjH)6FZyv1${IUG7_GAt<5
zScxmmrk_N>_HK!PtAt^r?4mKnazxqoCJT3hbQlIQaHOyFRWp~*pUZ|KG#|TrZH*0+
z+-6FVQ1;x!m2ZLeI_`sZWv`jfCKBxwSoDp?Le4nuyM-3qh{ejOcIW)%M_#3qx+&Vb
zxHH=2zs9}PR5p0ddcb@ccDZ@X(5HQWigDXsYi%xI(y29rmK{fVqmlx9Eae7_6HTF<
zdI;>GByW#0CNXw7#}s}ZV+LK}`MqYUE?IX=Pdk~iyxFrpfo+#_Y46T!0XP$g5BdBu
ztS?tMyjPA8yX&TJywXW0hnAaF>*St^U6mjx5BF+I`K>zzYZ8gW6MKH^N{~Qt=j@fd
zqI>Z5%1k!{bJ{?r0yo=+UrZz+*axqi(1(B=)MAR=XlOb!sM7(lD1s2ByrDkM2PM=8
z+X@+5Tmos@p5%XO9CK~dTE#;x(6RoREUVaV5KN<`M6N%f|8Qbtcw!(o(Y}CcE|tB~
zv4Q_F;=Nwt!*az5Sy(NR$c`n1UWqQ#6In?!E6{gT#B}3PrBEJWJQAm*PB~S6x>0oq
zF3@y^Ax>El^G&NzsCWLAKKUxTWi!CPN+y{WY*H4fI+l|vvPrlT#x4CtJbp~lx?xvv
z><zxWZ=zA5|9;KoexGC3GfzEI>?f@4iN%ge+B$4yjt$L;Q?Beu7;&}2)qoO21R53k
zIU9=9vFRk6SJ09zA==`K0CicC=w(A{)djX&>V_At_n0SbTNGtd!t2dHYG{=i!zY3V
zD84u#g~0>4h+<&nR{?P4ZMX2=^~1q%b=zIKCm_3Ut+UErOW2*p_D|V9ciJnnl%YtA
zFxkSeyig)zn7q<E5m-6L#O|_no+=mAC>uS7!Xl8VJVq+?XAsB?7WX0~uM`PqHj2gh
z&65b`NX$zS%|t4rc(#TYCLx-2K8!ln5oncK&t#qv(<PqWT!YZ<ZfyL^eQ)()v(&tj
zR&Z@c%7Ss4a{~W~emje<g0Bnl-A)<{g&D*NXf(Nl8g)f)Z3wCZ)rQJ1f&pZDR=zOb
zbPNjl=O@d(AU9syGf;*rImm#V>aH_Kj#_47;$#6!1R?92oj0zn@5yJl*l=KAqKE)^
zY~vFQBu4AUc7Gr7o!0P}vjHoT@tVX+KEE<|<y_q?*5GxGIPpSpYia53>*wclq5fOk
zI?~*L2}H}K(TRZp6Je{c^dXcollfTY4UiI@En2Zh?rJ7>I*~Zt`PB0f|CD|}#$U%i
zg45h>#Ex=N{Xv3w1jB9a%Mg?jP@m`_D37G9+b%SsTCuL&lRs6miSCL-DXi$-w*Au^
z@F6kCe5bP^F?uMODkqBl7Jt;X)ouT2_?Dl19({n785qy5%~3}IN8k*Wy){|z+<-_E
z3Uk*t`zj1UYGf55cab6wU%YhJ&tf@w5DG_TptLXmHPZxlbN`L$-00TJ)9$nMN0dCz
zUk1obP@cz^@I7oD@+fu>>0Sz%;!S!+!ji7CLAX}La%&&{Koe=JhA-66+pBgzU0F_c
z$^V@0OWX=3Ipq?^DovnJdJ_wF_gPAZ<hk4pRPLHI{I<cp!Br=YWc6@}8(N^RD`^uv
z;$9E#HJ^&b9!ex{y)#c!&r(&^;YVt7!EgpE(b)$mteJ3du7=1Zt5m5j@h5-ht;xhg
z=#$7`k{79rHDfmj?bEm_9$lB*d=J8leO)&7fSgu?1%t*vHTgO22H1>{ctO6o$}dJ%
z4E7^zJ6jss!S_C(uOd5+ny#Un7NYVkc^GfGlLVo>`ndgL$EQ^>CWF2fR^UE>{l(vd
zd~6>j)>DVx<dvrZWMLj1qiTkmO`^BpGlfTVnVr^d*PA#)8BgJvAjRxWFu^NfJDY*?
zQlqKK6rE~Zia{JG>r_HTnsUQ|?}dKBS$pHn#=&D#la@6(b?jiH89$vWJ?yN;e7KZ4
z{qx=x@y1uO#9wiN&<6C+ZqPd3<_j0F3yAY#1`ux%*y<$BWIk~2+&R7?2Q%$PdAX(P
z%-EP=E7%${HZ}vaLfuj&(9*L&ehmZdAT7pz<1GF;UtV?I(Ggr`q6A=cb=i4=yg29^
z#2kAF<C*l0A=0TOQTD(vj)P7kzs4Op79Fg70B&-l87ks-y!j%wT+?%!^05;QMiP@1
zBe`hKIN$q#O^+}7ZcUAt>qb(;;b<h^c{m@5hKFxY6&}vUamd81QXv)3KAcbEV4lI=
z?gW<{I^WQ~RIB$P_tM}Zl8_+#St`4TcxVh)0jvlPig-4kJ{`*xQm1Lt`ab#>K>sEo
zpZbs!A4UOAC(Z2#IY6>2c-9vR@eq6={!wn)`dh+&mp#45UPH6<^Cp9((<A}Q>)Ota
zJ#8Q~XU=0q>11mff5uGbf{}8kRgMI6)8MAK4az~9t*_yDHf=W6<=>Z}D(TL9SbFy*
zj+vv!ts_G81hVBht4>uv)5%2>CYD#*ZRf<RaZ_1N8+EKGzu;pcK+a*vk^4k=-aZ7T
zBagv%Al$Wt|E-(02d~zNVC-0RWd%(KTimd+HQ13>HmX%}N?BIwZp(EZ{o<N{6=^$U
zzrV*5AHjaxdwnNK|CDN=VSceDmN5DAc3`^aibNyMDX+&S!#4fXZOER(2BQ-2-R>4{
zNXBFSmI;Sb-NJoc;G#k1QO0%i@s7lXvt-)4`2sJ*{45zM;pt9W-<36M9v|wcZ;$V&
z4;=%c;bh?-NsfB^I1=~|gxZfEbWkZ9gik1g;8YwTk>&w=jlHyeI-r>3OU_;q9JFs>
zkLpnbzfL6&9=!36g$2tR9cwm+xS3YPOO_bTN*TotWL>k{4R0Ska&yJ8mm-Ddp3%|p
z4Rq8jEZnj0$dSdR8djYBw3n{XK&$2i2=XY~{pZg#E28_*7rgkri+^ji%o<i7FwfCz
zeOQZ!Ts-8!>^X%IPy<I@!>^2|C~J<|=BBZqb5uCYI6{%qJoz;LtCykhAY?U+_yk6-
zmH`nmltLLMKyV6z7KV0VwV7My7gDKoYj-G_icFP&7|{#dqu};ElZk9Tb@1j<l7{K!
zCh{*t2NL5Yq)4dMmX=OsxJ=`~=ouK+r)$~IA_0xb-qtYh=Y-~;0kH)o+PD97@MTHM
z#206AjCIcE(}~PaW*4zdTlV_hBwE*Bmy0F~dkLe-Q%g$-Eqi7X{~D-xs%b&OsZ=sA
zlgJKM%=leL&Kbt8mp-IK0BsSnG!AMiXwzkzv^ay%QpzKk9WX9H^IbE|w`ip1o9C}T
zbL5C+9XWD_zrV)>N@I_biat8VWKE}2snZv(pMSFkSH7iboG1Bv51$xgSI79?X*`aJ
zt9B8}V#8Q%vV=TCJGYbR-BdE;TwvUddsgl_+rHhMZn~r{%jy=kZGHq~mOYij3RW8N
zL=G*GAfCuUXc4%B>fFbHzfTG761ZWJ4pqQ*XezmYBWbEo;mmd0^dM%Nx(4JcQ|TJQ
zFvp>@i(up$#AM{;V+<V7N|+D;BF;?Hd>0F|<IU2ZV|3P-M&pQxnIfub=}4ntOl6>n
zrA&x-Kl`vNJh-L*8i>aOBe%rEq2T0+sO68}7Q`~C$dMzV=#(ksYez>wzOf9dS(*?p
z)3LpKVuKv`D#27`X)v~D@3HBL0Yo;2GH0<HU_Zg>HL=)DWj{jlPwflGVpd`q%5ZpL
zA!N;++TTQO8EAD~yV{yB4XN>^jGsU*&;q^N(ANpexy5cA4v7b*K$+8DfVapiT;5j1
zgD`RcN=h132PA<E+MJ!?ykSXv!vGY=cuVs7;ZYMB<2H@qhX$W~^2rM1bwF_HhWZiY
zR!)|RLqo+97N(CK-gU#&Km`*%Q+X0={+g5H^+7ZF&_fS}F<mRwkQx1BQdp2elez9t
z1-6oWe&DV!GDYHzyLMNrvD|^et%FkoV`B(VFy->t*ud_ATMGxW@oIJVUHtCu!677R
z7~DN=!gmei^KgMx4qdlOcCYkWcsvM0+q9A4v4)rcpC;pSxp$VEloAkGp^>$j>?S$Q
zBMBQHYIbzk^{T0MHjHp;)owS?o0fi<Kj6;b>CS3hqywPh>*MPvSM@o&o$H!cRP^5g
zNRLNlwf&305g)-?1jnwU+@M!!$JlIUc519Ib9Qm=mGuYXeHmB$N)GvC-Ny#I-DSf$
zUTtkTe=@{x{&jU9;T)H^BKehV4X^D$v(qh^_6kUke#HJ+*RPbUZuLu-am75W{D!On
zYy5l{KLb4Y3ZmBzA#UdN*trII$FQmN0;h;9>I_lL220R5#-;(2bQC8MQYn(dtWV=0
zQgUFP=<>Zeidzs)nDUJ?h+9nxv!$pd%C?d?#>a8qK_^qLi%AvUKE~22lYz9t;TG9P
z`QwD@$IG2N%4MhQy&wJdx4#|2TDa2dLxoJSn33gqTdx4JEdjZJyS3pGIk#lq&kwdh
zg2F9+qD)wqJLm9WDfQkphvLanI%S4R>2&_DS+{#$_!~i*mLL)jt!h8IhvD&syS)2a
z>>Y4F@>V|v3lMVff%})RU+@fo%bBQFS`d9%GlE~rH2^6Gg;4}5hEp1(RTmOs&t9NC
z`ajtx5*(reQq0XG(=3Ur0fIebA_xnZNhN&8{7t~mcmd$&Be6sxcHezmYr|DBXN$#q
z?sB%SPenUZR2$vBcr~FY0#R`lvY;lQ5gpUM)}xP_KMaO~;T4?)`By|t<hI-R5q@kX
zley(iZ9=s3w~m(D&3CkR)~@}meCw=yP(QTnm2iFFAdbA05@}@7cO6zvzZ^W}&At!#
zK7xInKIL2Y{U4w|3JXVq>a_v%o|V-ap#}oL3s4iO5<u>)1XtCR!3j|+1KgZDYS%!)
zdoQ>k9z)&E^@ktAb0T=B_4qh|#hE3CDzr16$N}~M=gtLVKh1X}U8{3JJdWUhrSf>%
zw4DM^C1tB~;iB({LWXs%Uym7w^qqDJB8aiw&p6-Xlaf8wxv=W(bH-^sFJ`=VTqNqE
z)n#K7rfQeQ{yYpK5T&V?;V7%JFv{dA4V+`H+Q$Zs8<@9hiFB-qYEjguF!SWTebjj<
zg5C^;c4&XBp~U$Q>Br8xS;n_;Rwm8B+oeTwKAqehJo)y~U3Dg#E|tbVIGKo)8}Upo
zJ&mQ2v&fYi4x5rSixrX6X(%6!N+dD$!EqW428ZgqM&EuSv^$Z?Wu`+FoqCnfbS8H=
zlbczLhF<gpmctAT?w%MN43(!+ncZ{LWm?H}bGA_lAHufQI8++5&2+MrNu=|0yECcD
zN@#F!V)x*HWk#NOQ7F1N!>!hq!qKI%YlWa72<h6frD%95owWHEW$Z5@>)Zb}K7-Vz
zW(fK+ITp2F9&KvaB%~LqG1|uk!T^vi;~5Hk3yABW6kY_p^eHkl-nWmKiWD077YZ{P
z85`t5@6a*@LyRNf8y1?(uTHQsueq2Ht7T|wiLcXM!kN6eq^y^Bx0XmIoUbrFozziu
z3Qb!|t;5|W;%fcbWN0*a<n=?<Y8g^!zA&~n6Y-};pw5P?ek-xh8S{M!%U_LPx%x=T
zADLMjF9iIl!NF8&upZCECab0x3hvP{uUdG{ya?VnN*0uR(;4rPSLN2u_cNe5@^6{P
zR3v$9Z#ZzY{NMmFb7HJq3YK?=W4jNhBEe)U6q;z3E8#tn$ewVe+-QVCtz;;iI=nj;
z-dza}27<bWxK$0N>XoYBKbQ)H_RKmMG+Uht`0>KmyDh!UHg4|Y+39Jtw#^3PcY2yU
z8^WxwYE76G<eac&R7MO5wsq~9t7!ASeT_!>Rak?Z?_2{TW%N}h*(~8-^Yd9i3@yrH
zStw+HuJ2ZN7ko8jw0FTK?&KvV9+IyU4TxSMl=b8x))))Y4=vH+Ve2!>kvIXu%A&Lm
zARwrPTPM%AyfGnG6Y8AE^ngjB=Cm4Rxu##Y<hvmdtg<Wq8}rC2@q|M@MKGQu@n7M}
zSUw>KkYMLz%`NsMLF}AAdi3bA>4BR@u#bA|xfqhwm^bF*(b#j)Hc{b=AM?wbPcV}*
zFKqCmr^yFSud)a$weyX$-49n++~TtPz^~tb|NX70C-yP{cjwDlW+&z0ux(R$H|!M&
z*cq7%meG5l3m9ipQ_YDqUIktJDtJIG5F9`4&A8u*m{Xn4S@A*mX`^ooClcZ5H^&Qw
z_%~qE&s0p+yFWl@4Tk8!Z2BAV`0ZblHvM)gLxs<7&k6G<kP=^x_B6m=8ss82pU@U?
z@vd?cdi$xgQc3Dfgh_fw8yKG@woDM8l#`&3O=dZwDXng0qQk?rbTS<B54;K*W+{?-
z8#!-Ag)_^izdv{KnxPYeH_uO*7YzE5{UTk<WFosepGPeC+4wum&sK37fFU7y-$<T$
zRGM(pV5mCZwIw+bDWA*Sc60s%A3pOF{8}J3G+g_Y&YOrhviIHw=>Ibqha5a!T+zp<
znkV4-|4o^Fpy438A&d?PG<5z&9#v?zZPS!>#idVlFT(*uhOEfX<XoIKuCj|*0=Gtr
z%3KNnI`7(FVT_#z+!yV8cG#e|4zVqCzgQ}tHbcY1)Yy595D{1R!!H8}P|-t@KyEZ#
zofx_Rug(6Ui7GcTM&3aCe#HCs<C)AwpI4j(GN;XI2Km3cFE|yl8uKs)0I9I`_@A-^
z1KB%gcb_=eEb8zLr3Qz_<-z>_C>D#&gC}+)-42>FJ~Wsb(r3)+o;vQl^G;Ut*Is*X
z=K|`@4(zt??dIEi^zA*}FQ8WOcXK>{6XQ96HAF{!zbn|>kijc03Yl`JT38MCy;xjB
z+`9Wn5JU>^VJ<F!?^E(&#IQOyiP?^vwB?Sx1JsZxKh7UJ-Vd|NEvbyv^Dgvj&vNu{
zc$dYW)h=7M{{91`eD&V$d;<$f5?B$l%d(i|V;YYSS=O#7vY>R&dB2e;6f1>+!npia
ziiN~D&iLE#K5HKL*8Y^YS#+9cV{kn0z4HplrTJ*0aGe#HS<puoW&+lAg+w$z)6feI
zdE$m5GTdCtL!x*s4>$BYBR09`u%|I;<Wq>3#z=DZbm=69l<JHEk14ZBX7~WJ@w#Vz
zlxN`(lY5H?VYY`*i=mu`ZGnSV_B_jBq9Dz;@h7$MiVmMR_`@jI>pdtEhD8H4*<Nq0
zoo_4;F^|%a9y8S00kw3r;*Z54EQL)mGwKKBV$%0RKLcKq3<iRhKRU==k+PA}4JFbw
zk}Oy+XA9AAW(YAj;Sg3q71OC9*#5>Mjl$0&vxQmpe(7}s0|Q6Z(ta!)NKFR(W(CPR
zkiAcjnEbh+Hbx@8%2u#7Z+xd_o{uB0XCVX{84Q`oU?N~zwZYrYKrr&NDKAb$7mk-R
zkyJ1cKuZ$g*u+>ap9*Bhk0N@-^Mwo7TyxD4wccM7j_%qQfO(!a)(Gs`v*wG)jeQIF
z%+r{eAzLFQkTF9rq#O{2&~TpVER!`w_E}bjjyS+)!;m>#e4x2;D{{y(ioSJGlX2!U
zy;<rFs+(^`G)rqF8i-?+5IP^tA5nbI=+BXS)E|bxi_JBnXS|?C7H!XvN9-X7sO=Y%
zG3-PkYXe3bl|41{_OU!t<mU2Yb%k*(Rljbm^L2fs%`w6U&Ft89b>u(_@SF7sFQC0;
z8P*lU06Dzmy!_1q6A9zmkzKUc1>xUZx84eUX9ynWdEW`&Cou}a2{@_9fuM5CU?~^D
z3*2X*Ets9lntD!PK3H&hBi37BBEpj7FhxuVvHRgE(#tZZg_bzA+!AWX*!O?8(eIAE
z0@y68ofu#VF@JLBLgxa4z{ud^rUnJVOS{f_Pt1~+Uj0wdOh8Cz<rUDz?dYueBlvV6
zg(cap_rIU5LF2+}k;sR<UtRH@OnO`QC!n8KLMFE*wq2hF>1WY*hwndZqMy#r8(6?P
z$53juc-J`TI31Wml2frHR8T3P2z{h=7<gU>Lu9ISl0>b5Gm0i#XMrQ-MJEKPcWywW
zICJKVBJ1Pkt6JzhGs3atwit(#rP9FYAbcK&W$z6Dam1V%P^z-bpJk<S1B&0hG_JD-
zZ`z99(c>2mAln*JK_(L~D*{iF#g}nhP<7(K7fky*-}w&mUfH!u?a}DqceGJTyJ*vE
z3orT+!jh|&>^L%|e~!e_l{bVY9&BC(SpEZoLAHX?2JjCB%^Og2G`b0j4t(J|y7+^O
ze*|TVczHK$(!INs<iSiyh)9BHu5j@OG@>X7DfgQQ44Ed+z;og}@K6^ZC!BG-g+~=r
zH@rI2UtN3cwW)kQlLSdMNA0D^59UIlXbgEZ*NhbjhOJ=CI$0R2?z*KuI#!(XBS<Iq
zdMqPBAc=ik?@_Iu#7;t3lM05PNyqk0DC!`3W)4;6S@p6Bh9a?i&N4rVR5qE+@C`wP
z^<|TD14PFGJrdXa;`e>4z~?4k8}u2J6P*E6FzuXK>+;9Tn5129YKJLe!rF=*tE8b&
z1yNLmPf-G*2@BI05Tw6%qlc~8%xuT0s*|qse{JXEjbL>}aCTs65>A`=EhC%ot<8T5
z!hhI)-u{C=VZPqq!5a<)<F`kq8mC|(@t1D`T(J)k-1%Py-rYdFgO=+e2xHd0#I6si
z>q1eZuDT;oRuh`~--(eJDTt+VZZcjT9XW6Sxx)~@gWO>^jqKaiOWqV_HgwO>a!Q4m
zYCLsxDfb9^pF4EuP#iU(#@IdMCXp<?EUq*yK5fIsf#SdZ0<EQLg%{5<DwSYNB=oan
ze<r1ESj*faV{gVbMD^Pgi1L!cfxk360(uDf0ItFoN+>W0gm9>nH}o=%E+jY6F@?a=
zvJPx!eZAGSz;p|@p6Ca)?GeZcTx+dY)jQ<abXeoE4YWuIIX4}kVGc4U<hs=oTsZ}Q
zG1l4iXzolWM`_3Pn}yKh205RH4$%<n$Ts?9UGx0n842-c9a>AXG2drF(pfL^*mR21
zE>2$Na>#v^1lDTW=<}4jD#k5sT9(wSFm%qlvu&EZmtS~UiDapC(@@<XIN)GY|Ml^k
zmMN)>>B8<2#Nb{f=xM$>P<JofBm~1vk3Qd>d%(iy13*)0_DQovs}lccUg6*K1!3DA
z6t{Fi>)w<re-jSA`f5RO2OR84qyKz>*BARX?C9b)0M|poen`x7#$xMy1=qYf^K}P|
zE0fUEBu*KlPXN~Q0bhUIgIODn1NL^>Q+l3|?2CZQn=9uBK?k?aWvpBOkwdoVgw)Xc
zq-<5~sXJ|TaP`3LOm$fL0haz7AY4u0cW3`)?v1dCF8o+<-IfHsawC{sS6;k&z&{d0
zo|lP<csv%{waZ(6zLcXczQ1y7{rWB7yd!^8PQ2H*x=BuCfRbZ!q&M7ao#GiZHSqjP
z%j6<*&-uF!o-2{Zt&CSLco%e*9??-YQ*4Yon)G~TU|=*cIxvu#r@BiKalFAD6~A%`
z;e4@a3+KJaer`p@v+mj(?4kJ6OOAGZ&p;aC%>(y1+V#>;V;4oUO$_E{5gocA;_oFF
zH`jVR23q6hqY|jY-cEv`@)M;kk+>*(QNrY}cphDSDNGT+A?_@SqmJc5Dp{n+D#0`m
zTKNjA(GZz+g=jW2f}Ij-gG_sn$0iJ!M;t@xBi9~lFl@!^EWvJhSC-=fDGh8jr#gig
ziud@jX$B0f!IxQqiennCqzZ|#>SVR;b%=cVd88z;e1|VSXZ{g-<xRd90jr%jf67wy
z0gL-e*31x&$Q)b;787K0CK;`|5-+8E{0IDJOjwUyP+~9<zI*6JmDFC@!ZVqOHdf4w
zk!7C97g-A`Y!Lyne>g*R=bTr)l;yiIthg`1#FsmaH)J=?xnJbFtmC_>^i7I^H_c2=
z=Hr#}Xbk5)7HCXk%wylh=d3rOzc<3pz<et`xWt~}Kkr<YZ2w(@*BrCVb<e2J0E;N!
z&(DX6D2{2t^$;m8dK72Zf7_kja72(wh|<mav2CwCc{9WN5k;dX!L<mbe9Iqxu~}|J
zQRW_{dsCGg4q>_Mns@q}vqz2`5q0`@EDMPow<m4y+&1~Ka?b4X`w@q)u#1hBEAjkf
zbJl@nI`v(CkKg^pIoS~vrNcS1T&~xrV$<Fs`uf7cf=u0nABko6U9SqZR|_{qe|9Di
z*d^mYeq~OGJ>vlE{+sMQvSQASZ%}N*sC02{2F_H%Jqzf2uZyJ_^B?oxwihj~d0QC?
zQ&BuZ&5p##){kD3sSMafmrja4H4mGV$BEHd+t}FXryjOHI)JG5i#~@8lKdTV)TVn8
z6N~;n2i=kOt<zY0@+L%E{E|vdm`P|Whz^Wgi(bs@<szH$u2+9XLPQt&7)37DoE`-m
z70hvhsv?e0hT&DFZmwE6X(AA?L{`<KfxjL5ZQIzWKigX?%x`*um6<|HzR0xW7#d#8
z4-M0`VcRawVV`13m^>sSq2zQ5u8iqko&CQe{Ke5TZKC+E+nG0xd&l`<;Q#Kp<xj8B
zC&eZ#Eh0`gKm4F$=`fT0IR9oDrc}YAn@9z|;wp6fy7>au7LH=a*3*KUD$FbB!XRu+
zj6qNyq&=hPaTs&RkQEwKQUaPc8_PK`v=BMI;`;wCT2>jWb*%IU5E5r^)B7Ro8BLJ&
zfnP6_9{K%`ee7e;E=1FrR5}od+?pNwB1VC*SU0~PC?YFjdMs^{FPG3l)DXeHv&g}M
z8t(Z>xQLhc--{Qq;Zi2`<Vg0<5a6J5y^6k$U=Ds0eNCaSclcf-yp`OO!3-M2BLO<F
zo045}VFS060gfV@AAH}o4@cv=fjU4p9N`-xKjt~!!&_YX-OnbH$G#bu#zg;8dCe+*
zAdSwvzij0`^q~()vPbsG`aeNeK0Yu!TPeLX5sF}g@<eFKqTg$m-?}9l2ym~N=-q0p
zaKIG3B~|)^U`UpoP;fUNEC!MSD64!Z5^-VGdGEdV-uoKM`d&Qp8_3@u0`O8RhNg~I
zAoye|13wwQa1aoGjSIy}rt<@<8z-;(U;L5f!`x2#MvyJ?2(aemi0l0o%x@3o)Weds
zRl;=?c|7Pa*95@J<eh{w?TlsMmq%g=i43CT!9gE+)K9mH&h}otv$VLlSkM`bIqyt#
z`2guc@dm6z&HNN_FY{B6z4482^wR@O=cM(Yh+uwewP2o;-F{l3;Lm-;E7DYLA11L-
zLd~CwL|O@iL7gG6&%lP3Xr112C1O5dVM}zAPGyqE5rlwG@#Sdr_Z269DmStx7?Qfp
zE8guDY{ZM{pe^6)bdYI3yc7$C)3W5Jnhu9zOF6j|%6Kk?nII>GHGiM6!dQ=x5U$Ut
zYwYLpJTz7Zqc_>_de#xw7Gwed@v)8=f3kvsVrY$y9JohiVl>ZtDW%7Xx5>}7nNwx{
zC7WI5N&y_qc`grFmP2RSDIw(RJbW$oGdSxN)IDasOB&JJ1`F%7etyLHa;ICu-DUT_
z%2!Fy&#L(|MA|f%1rrh_<H96j*5SyMm*(a$^#Q7~(g=xaCD~zcts5lBuva%=kdRaN
zkFa@L(9}R%iLNryW_8^q0{PLgiP=ZI9vOouJw%g&1%dF#G*`^tvXwoGi%J%iC1i}R
z(D}=cyK}yp&7Jjni<V9LXQKI62Ze*(6%S;Gq|O(^lar>4aTT>y^U()box(-q|G$Lw
z&$F-{!_UA;h=t9L#~_QYmys>UJ#RFdVJ{7E?C#_}!db|wNiQUtD8%|8nbJGRC$MHS
zvyrw%$8}qEG3kvSA9zF}+{JIL@jq_7kGK~8C=zMMa-DS>Hv3-ln$BO?<yJ1%{&TO#
zy7MjgZiNDT+zsV%0(fLe4FJJ4na|li)4RcOerK}`bP#Jvo?i@(bl>(sgNcQ~fpKX|
z08X$ZUr?&4t_g?a+TL!mFrp=J4YODL-kQb()bzYp$hh-TF*ymW*3p=pxjd9>UGU9d
z9w^?M!*T9YFZN*G*_wycm6VuU-f`EuyvG^cD<wT*5R)@>>m_4y%JUIt1vvtF{O{Zn
zk@J}CJ$H64!spQlew>Zy@w4|C%Mbk6$8w@kpRq$u8DQFtSD^Us4m|nek8a$)W{=y`
zI$Tfx=tt=fdtw}VM+L6Cp853wM6CX2-*e1RNqz^}0*DRt4*$sK+2xN7nq)ghLCnf(
zKo=T^DcJwUzsqQT*f9ZjS73JK%kGsQ(Y)MY#6RdRo%#S9n32OXPN8Hy&I`J_O6Kf1
z@S`qzDCzGnfD`?A@dA1(qx%~eT&39H>JW8lCc$6RoVyf-1#@wu9<PAHUXzSg7pU~N
zp#3Kn;m8cPEVDP1_z?}-HKD}f7(ew>R6(oZfIt3Ifxs=vD274oP#Qb5fcWwUFba-<
zPtpaf7d~#6%iL$40jpG&WDhRvL9d#^PHAVUhlMC1h|me(mUT(=rz8IC?;u-L(z0Fy
z-6!TB$!3ei`mI=oFl_o-#y4e5H|zefv5`9;2}V!k{4+P~2}X7&O|@zw1K4hMe`8``
z@0}xKWB$%+KcDHA?Q=XaX@teSzK5PSH1gXo@tr42r;vyOm0Jc8K}hmZo!AK=7y9+V
zp#+Wv;c@}ubG^H6X~psLu6oi`(oX5(2O<rgCw}Yz5m=ipv2n`tgw77x(tjvG?UXg$
zh1a#%ff74}fZNeNNKuY<Y|g1rn0gz?4az)2o&*RA-2K(Ns?RP5ofLgeItGa1ZiURj
zq-Mt+O=O)4?JySeJQx}dwA?9{G@--4ll4bFZ5YMUf>_l*eXe;q=Z#FR!&z*aJD%s{
zs^nyLC3i=Hdv2KV=T1a}kKFklRC0;rxiR3-2KJFz!zz}lZ$Io3H)AEsS*-Pb8mo<+
zmBu<5bUO5|FYY~qN<mFb%|am93R$%a&Et$VF>hUE*t#f0Yt4MVsSmi9X#ePaB-|j7
zxq3(<jKvZUo3E2Gl!E%d!;<3fTZn!!Uqxi72_fwzAb-(^aYUZUAVSArbfY$@KVo~}
zgx<Ph_|x5o<XKrW?7p}LbxoHCJ3mk;Jr}s5#&c@YA4<^FmuL(Qg}Her8fArt1{>fl
z&fX>Kl856~-^0GQW3)Hpvz?cU`n85r+89s$lTsH4%h5$iDs?%NszWuiJ)vDB+o3Z<
z*$*usGDpbW%PTheQ=#NE5IEx3?5Z!}2UqhMzp2-ksJ9|hYhMns&E|IEBkKAe`K2|j
zvU+6Cp2SI<<Md=8lF1(1zb}i0r`Yjy%_YNbsoz$2TVeXfs}0jD+X3YYA!$|J{<)<s
zd>s(FG6<gU#~!z`cpr0utXuSdWPCMb(|H(~w~%@H$A*>t+5Z&+u|GO)6$Y*tiv97h
zuVB!3elu^)Rh{2E;3D$zIV;9XS2~~jV<AFn7z8E<+NrJr20DUSA6odXs|~B2XdxJ!
z!!(sQGAdR~m15?+VgUBXz`mRKT{Uue9zHmlF{cSsx73f%{8(XoN%8fn%<dh9*(*lY
z{u6yC!4~tKHdECFCb2f_#f+Ra-9;f#@x*V7UorlQHjNzN)TJBErtO>T^&82;w(ajQ
z4<0$c<7Se_#kgi(Ua3^D;w(@(7`CinBWi-d@PPy2U@+PU`mON6mn)ZT+dmt<r-lsK
zxrbZkT|li+XgUJrCO9!44g~xI6@MTQJ~)9OBNO>kJie|~@P`6}=k1l&rqopcmCW}I
z*q7IkWoHVR2~To2R+~1uwsmGNp-+N6V~SC(OP|9vB%!K9)#goHYKjF}t|Mb(Pl%W1
z@T9#FNl~iWL>%wB3r#eyzv-r%LighT-6#a_Lt!lxk_$JP>Rs}T`-Z^8$<_I(kFu^-
z{14)Pu&#%={H*EoPF&E!M{Rz}_<Z_VX0dwmr@5BP)N0syyHrG1yJ9oi3U><x_x`pt
ztdw(a1o1w-h?ELRup9y0(Q+t&)0apxMwhPC3;>E02|J1p*>`-}SVy#LJN&V0B<q^Z
zIxT%+a+2m{fR4SVwfXd<*6|G7OUpvYIxQOn>-hbuohq?avOdk)@rwhK_G$^q%UZ1!
zR%E}`V*M+`AG{5;q5Y*Qb7~D9!3V_e-7~)IBj5;M9b@rAVMP@kZxxDZUj_^W14z=v
zISw&-VNSEbqreJ!qtg3C^Z(V&H{Y!7y1AIig!g2#+#N)(;OGxvjRqS1wF)S(|Iu(J
zTX?rCzqzH&vHWXJ&lB;&<9_U5Vy}$nWn>VHATtQI$3t#FoZeE1Cpzc)3UZsG_(_Yr
zaC<egr{=F3<a87BO)%RjlK;wqXNLOq(?L;3Y%o^}zIAsb+)_7$cim&y0gdX#J?dsZ
z4hWWE?*U72jITiL9+uH;UM*nmuoubIf$L6tlDPPJ6cH`=``+pEF$*Q<Ffz$V?1kvN
zIz2(XdA0y|DrPQ>s+h-crmAH}LRM(SaHGyh?nqvrS2|=<#Z>1Ue-z1N(v`329Iqlp
z^6<#sv2Z3+v<ZPtr}X|gQY;i{IKt1G{y4EhW)1VZ^T}wG<iVNpZKO-yH#Qcy8}r(^
zw!WEJGQ{$d*^(vCujKUn3G7dI445iLFyM{=tj{kaB<i(!zs-kSE=16^kW?>xfA8U~
z$nILWuG6YotsktrNi6Jc-kd;cmiNAU^YM!ax;6jY`Bw#z9>u0^=N~<WT)#i-%q!h;
zfyX*beY9eEg>Y9K-%>&!vPegsg)E{RQLSIZnQcpTZq(rXH;26Km1=dVQYC?j=-Rq1
z$1`TFv%)_M&iL&fsv`XWmi@IWXO@@G2q&GSl}STgSdvpDJ8grz_Pgc0DD;Q&B;%Db
z$coI^OVA&c7iD=~xh#Q72soOVnHC{HqFS-%7AFZ=UBg~wE9)Z>)j>OIhygEj>~y^i
zFaWJ1F6#iI?_ytyA#wQuoV7#Y(cM$kszvr}gfUyy>eTL03xeM$mO?Vl<iG*OoAi{;
z$_>#7*DFS%H&g?G+<1L)=?=#=e#g>ceH@WXe(OAH*z&H{*_E08i|;scFaD(Oao9nB
z6ZC;JQ95p?nXjSWln&Y384UKqVhD&s)KRNv0j6N`b|+S=sfJR@OT;0*$W&=+?R2gz
zs+i>s!`eZ~#+HF<KI_8M+>y&Y^{A8U%4AwJHJi|`e1+THa5o<QruQC^&Bd^a@zJNg
zjkqduG(C9A2n(^VW)Kb2aygb;x}R$yu)i2~8N&{G$IRzqvHQ3-vZI;w=`}e#6?Z<%
z-{E2vTkO=|$R^(RIoTaR4sEvxJ}7OGd~SUmE7;vkwn)Q9Y1n4)DDsrqx{r6vKID7$
z-*MD-@Tl}RGX2O#uCK_pMU=VvBiCuWc;c4&TdUOW*EZhqV|I~$uQ|8F=q+-w_fEv@
z$2*WaiBUhUG2KbhLR@9nrh5#lNA5+m-+%D^JjT{T`*Z<`<M$y^B_UP4l9W-YC3!OA
z{zRL^MaU4)oIq_ST%yT0>zbjTG*nJOaKW3Yy>>6vHk}*hnI*Zq{hkM%h|_Z<WF%AP
zoGTCBOKHd(k$KVArIA&0)}f(k(^>UgZ+pt1Z7uFr1FF2iY9$LWKXkTxNz4@&yx|QX
zzj#Rw83<^05qk~0*WHqb7S1DA!9B=H_k{1=zTX4H7a)mIC?TL-0FxbY;Sxc@49zvU
zmleJSfYbZtfgB!WI?vuK7y~zEXc4y^(MJcaRPOF%CQ>z|=gV=En*Ci~hWu>I1UG86
z2((t`g2Uk+ed_OBsJo>LvxAk&;H(}sA!wCgOUwSsA}Bkuaj(GaOqsSMp2KIc11U#l
zg=2&r7|FH%%sU2c@5yOv_ujp`Ej=P19tN&E_A6aU+KDTl#+9~yo<CeOD>gi2sb5Eg
z_#R|MZ~1(S>N9oJkvYVEa_nj{Vp&OfA|e$<0WK#9b<gr*aar`S{cHRd3!41?W5{qr
z-l+$q9pZ@`UQgjm!X4NqPcHqoc|Bet<CQ}dFY!bUoqxtV0bly!=gq%J+pk4z`wK|F
zp;C$IvB+pLovp+bSk#(L-~i1hFhz<D5uzo~&mjWr<9yi(`-eEm$&N@2B)bZSKA(-n
z(U}AL?;aeyd;bBTL_C)L{Hu|IH|U=XMy4adNq-QDGVF*%iN57Ptmt^4_<6s7Ih;-x
z=1!eDeqv7|vFF6`Q>W$%>2!Gc{ZSJ@BC~~ni9YH`j*q^>d6TYK8PuNsp29qn+?PA`
z*Y7N>;q1_vsKzs@4Vpb&lG!&w871{tcNx>dV)=3afLxfI9($4RjYI;j=4pfM4)@2c
zw3(bFx^YO;5Vh=1>;Q$%|J0y<lTBe-5oPBR#_SGaXQ9zIJBveL>&O2#JS@-nAHIyS
zXP5*>pW{y4kOkU|Lu&3c$ZujA(t&(9oF8D?(%cK<@fRXB>JB~mJ9#b~&gq+X#A0{k
z2kg1FfpuGJu#GNYl^@2>jt0@R=2@9xHZ}CvMKutOoP`t<?G01=cZ{R1<nEM0VPr;7
zeglRiv(X3{<8(yUH;mXVNX3FNIf3O0PT{@0Ai$lLBL;M>J8mm{$$gzA(>m@?tZ^_N
zd`-*>bc_Bp2-FI%FZ1<kw~n+tye9fE;y)A)4c~2mLP!>oWQ9|xHfPfuOhAwszyd_3
zi4!-{h3sQo6+F2~C65oo1kmlPx7RCPE{c|Eo*J&a8p<yYBMDl9TUgD&+>w|<$Gecy
zuCn`Qy&UpkXSvpcTsoFtT;kiTWhL#m;=8fQh|*T4pZ8)n17;T4zNa>|qNpd7iycIX
zont9X`h*gQEjgcReJBw=i|F{GZX;nwg=>^?cMkW3$Qtzad>;EWVF`33T&93t4o9#c
z8kh2UN#SGVocqXmi~BGG*!Ocdt12teBaGZC;`ayMHJe}deq1Zx`Qsl^VxmW}Tkvz5
z3t0Hq+ZZ#-R5vPc5M-3=>`4JvO5f}BrwB2m;DBYsUGD)laKo7cXqDx-%vg141wYn`
zP&%BMW`0{Ss~2VpGexi&C7%Cq+#%<avZ!xzI3OMcvI&(D_Fxe;X=76t*6lKRd81US
zn{+lfoXpfE<uTDU@^a0d6pfe<J0#G&FBl9uOh=~MYR}mNd!R?-|1n*7SLMxJgM;Ch
zA|uRbH(65<G$0AXJMx;F_$g<;+Oh$BR_l-oZpGS=F9W{huB1RAOf>LWI2(HGwR6m;
zC-e$alM}L`zm9#kPD`gEGf=kdu5orEdV;z^B8{13QMjz=jonm800~!8wg$$5znh<M
z458#^2+j)YJn$xc78}@FELb@d3uB?_Vl1{;LK30ap$hjcb*^Hcji`IQXN{Q`4~-oh
zRE9W^i6d2f+>{+LFP$Y1^WM=nJ9ZvH$ENtOS?}9~{tb)uY!TA(&cKYG%qMC|NwR=L
zvX+>4guk*Z<Sh2ywKE?_p7HkTnaB#`fMK(2nKtCYUA{$fS1c&+N`W?|R@DfSq8~<l
z2o?4+eaA4((Lf!fr7i`cSW1zv-R`V;o9_~9l^7`vu65S=pzJx+eHL;M?Sw7p?givb
zJ_%0hw2pKT^iVlQm|_jfysDF*E<|;Wd36pWtGdG)FVRClRT{OjIVMWYVJk;;W#b+1
zct=c=uEyU^zQBfd)*J?Dwsx!vIba|^Je*4;a>K(2pUj#ngE1wp88voAWsPg?u*+>{
zrM(V}&s@BSJ|9PpuO@oCfLT{6=ed#<2{9X(W1J9n;3wC#F6J@!AiL)C8*!|9i^fvR
z!-ePr{!o<e%*^>z43f4L-!Pv|B-SG7&PEEToBe9YL_dYz#AD#wsmK~oz>Qz!9<?`v
z0+c9U^NY%C@f}LgnCs=THmi)e$NAf9W2ZVng0M)VuHD{mC)3NB%yK%J$%$!rGM9N{
zKL1SIs_0<<U|oOP6)XNs9xm5o?0{L$Ww=W=_U%aSdV*ZwiCxJwc1mi8lTNw@g<5be
z8E$vJ@&vjC-mAO<c=Hu#Ixi&72o<ZbSwf$bnw7v`n;;(OB}fnMahXoIAzFo8o0|ib
zTfibel_sH>@|+Ms#`te>2aoa2tC1`|lUt5N&{m{@H}C15|ABVUibd0_oUtYv@?RG%
z9OaT;!+x62Ceyjh=qS5)n#)N~Z$AGu?P@w6M>ijhn$S~O6OX6Y5|Os2k4@k07_ELi
z<D77$N0L-PpnRGAd%U+>uN^BCG}qtw_*~}~YoEJh=YDBZw_utbo8%Zy&S4LO(KqeT
zHQ=Jb9Jm(zXb{<eu>)<Mt@g^r<VrGT&D!?2E_W>dn~RkWo|=`d*DhYN&p>b&Py6An
zb8T^_-UELnm(r7<0R!+9__#M&NeBT|yDkcXIbUuM%`g1gul-so`Ai`YevgBG`TQ?m
zvO}MF;)y5x(ROBV%0|0na&3pE3k`t@YTcK`{t?jBD5WuDFT-4vOY6R9Q~+o~V~ht&
zSv*tMU~IB~QW~G|0*T>3$d5RjHYj;kCLOuOtiiodRl?D#bXJL6>b){&E301P2}pv+
zR+z<JoQsIM;3{nKJgE#K?F1i#F9i`ORMFTJRiGP9w9uodHJXbcZqMhvDmE2FlP~%(
zqv2A+9vA4-8V~D^thaXQM<gOe`o6Nc<50m{tO<t=euDto=^?@<3_kmL(918%e7g_v
zD6fPil~Q&?^feK#R6J`+$W0TpB*a@v{Xu3xOhGDXd;wPKmUtB03S~IG?c0kOZgMku
zwCN`%$R$LQA&_OUNeU)kqTYkRo(Ym|;Vygybzh6zkHKOwh=o%Lh{Kr-4hi!`x9r~k
z-2^!}S#{#)kiVWvU#R#$iXr?au?+U-Mn3Y9kEGs_dO@SnxTW!?aK0E%r{l#uwd98W
z>NSI1l7ora!-r?_l|Tq7Tbld!HL->@6hhV@ryLB1y3hQ2rszlr#Z2eF@x!5DAh~Z}
z0`1`U&Hn#ht$yN#`1iBLcsO5gHtYCqabRR*px_jo8(qBhVGooWph4dQ>HHzh`zZv0
za)B)k0Jah`B<vW{&&)JeWy62!Rdwu8c<?mJ4hvw?fIc*)CP)nJB~X0AD56ltsKBe*
zq;bqvt-hT~tx@}p<$+ki>M5OiFEv=<v7+Tu*q8_r^f9J8S-TM#P!7NT^%$gUuMPf8
z3VWmMufJyBzJ2lWM~R?nBru;3g_fyK=NMnGj*7J=`(zoSR3g0GISK3W%=+-~@cjJn
z3s0Ur*%%qY(48E);1C1B;dRkr_8?9`cT0WJ_fb&K1u-T#av{YNm1LYN#8b*vnB+9K
z^xB{8Nlyrn{|J%lePWUFnCH?~tM)_zFqE%=+&Ln%h5%5#)O8Ky)uu{Y@Cr@AA|_QF
zTlAV-Yq?hF3?W#RL&hnj&AGl;I~(xQQ(4KxqDjCtQ^!VU)>zkuX=DQ-etGpYY3OMd
zH=Iu^mF-px-BUlCHfO!wT~8}|uAh&F%TxT|nvN@0tCZ?f<#5zdm`Q&O_M6xICHt^L
zvY;Y$N6Gmw0`3Bk9a(L3KTe^$V$y>EY|h+&|NSQtfgpB>$zxlD<zP0KJPzmaOG`t;
z#X@0)6Z@a>%<*I{i@V8G&iJyyK;p#xyt7g$6o-dOFO4%zhplh;un$2u&NWZ<l%ucM
zqNB+CC^C{F3t|>gCRTk`r=T+>C4z^6o60IU_BtDFeX6FxlKQx_#)!()zohR8SI#(N
zaHbNzC!Nl$Q<GTFqz_=0IN$_Sk@Kk=u&zK}?-vGXJ{Qeld^xzR7vqfleBl-DH?<Ou
z{+qtpvVYq6gj4RlgEKp(o%VujC2QLQvXVmQnX_>t0Rd_c=<z>CP0%O@&NXjI<{rVM
zmYE_qalj)0HYP<+Vkujc=gXXOUD3VS^s!^=MwuJT-)is8DTWZDTH7&~WCW;dP`qxP
zgZ}B+7z185Z=x;aIZ36Ozr`8xTTMIn$g(?Ertyuze6^(%%fV*nR~vIaf9pz5nw9CE
z?;U5YP4fOGzlA&|%T7$Y7q)KzAO3N`7Q4sL>dL`rVD=Hh6vM7ESl309C=|1aM7CJ4
zs1{sJpsv!;TdLKtDK(F@+1mD5@P;+;1?KiY+l44+HUF^Zq5M)`+8I|lr8z@|gE|Rd
zh`Y2R(jvGG=2pd|Fp)brm76yKiU>Ndwqj^iZ|Kpi+<o`md-iPfAWjdWniW=Njas`N
zGh(->_D4y*%9|^wy4qgZ0X0Dj>093rnBDF>gIJ~4A?N7F0XGr*!12_&LTjFuSyCDa
z5ZKgGOVpvM0H|3Hrq=msEDs<Bz#k!32IS_M1OWI3yaWFAY&}N#(Bav<%{8>$C7fkt
zx8%;s)rq)7VLcbvc;UG%xH&ulGoPC}n48!z)jjxkcjtnaBJ}zNz6pDb2p_RTs9SiG
zBaS#!R?fxA&;|UCqa&iDF^}!Sc!H|;5~yi!Yrb~y;K4m)%PUAl7WEVvUe4=!a9D_(
zk;iczq2|9i3jh7<d~fu<%`>VXsG!&wOYk%-EbyEm5FOawfNjtTE@X+2R-wt2fmEqe
ziAkj<$C_AH#Nc=@%2-qU!Ia^!H=19qq%-Cz<YkS#aW;hGefL@;2vp5f&HxxCq?Lf0
zgd@z^AW0W}?AdZC^?_6<vyu5K$u$4Ir9a?v>(<D~;45DcjJ6`dfHiT)WFS(F1cUz3
z(Qu@e9S_{`AI-}KM@Fo3NT^s#?BUCkVxZWQsCA{E+mWIyH8b-vr`GPu0Uz_6sJzKN
z-5OZid^^?@z8*XDky?`r>aLhs?+Na>NREz^-jY!gX;m-?62btBJ(omcXp#`)5nFZu
z^#T3iYb@w33<IB1+{b08mDV!5^n-Iey5$#o)0)i@=~wcp;X*!gH)e_XdZbtwN#$hL
z08j6DXf79ofjpYrz};YOI+0w7$M$-wc<sJQu~^x+pU3^?8Gej^ooT0JPJ4~&Vm*x}
z%B4|MUmY!%<C4D(wO^B(PG@zdX43~!e(SB?_gdZ@S|aO{Ha&}cYBgAhZu8v-*mE_f
zvMxXZFo5z2r#}D%C@nIonot&D3<QaY3y2GklaOl$XsZ(ekmU<_fCpT*t3x%ohNl2>
z&r)UA=TQ3#FJwM}9^M@;6oylIfv5TU9e3P8AQR@f)JUNic_<cNNhYRqOg+0HySN5(
zbHC%Q<X^nt?fkvM$8jiNr@a*~kk)W}v{X*WCrEEdO``E~dGs2~pE}@zcRJMr+!Zfy
zH}IZ*21n3~nB=Z|Cv2(l?n)o>gU1lr{$4^H@SrVjq1miKatClI4g+q+DNsnO$ph+6
z>fNP|A@Lj{F&)?=!La~kaKVjp#u4e0GMEq%y+bIu+`6MPMRDr19IXAPPoJioC5IoJ
zvkN%0Aa6NOb^ezZj;{(>B}|(DvJ*C-orXfjOr~}XrIJbH(n=?j*gUTUU!FCv6oS1!
zp1R(g#m3I*bm{t395(;Z(tHoM{!I7tXo|LqU+y52q<iMH>wDhOUydg^jgoQ8s&o6j
z=tK|ar^mfCU=2co4=q~*Y*Ps0{9w;Rr1>tb8t^fL^$Q>aJ&rZ`@99$hJ|6k7Dm0P_
zp?5h~xo28<2Bka0dI!fdzud9jer~OFh3Ivsgy?*rr9@caSC(S+WE*a~V?ijGS1&Cs
z^$f{9GLBPedt}p7KkwzG>)z2vyaJr3o$j|aM4U1cKfSKMrnT%H<G0(RzyTTZjKl$q
zS;HB`M)bAbcb2^)jd|APCk4>7Ie5EN>UzretH_@vc1l8(G)vO+l)+l@cO`R#HV*O-
z%qDl%fz-KmU<SDak0wsXdqDY3l`i_wNCibo5aNnP!5GMqrKCrhfOqTDb}qh$0WmU#
z_7zN^d(u<A1GZ~h$UTnFuzC#6!@_x%yk}>ONCr+D&Y0DnyXU-Eu-$aRB2&*O_Drs-
z7jah4@cYiEIxCy{-}7PD*0AOqhnMPlSp{L65NrbnEqk<}syv&OfCb80v|!b*Y>l4}
z&}p?5b;nG4c#abbrz@>i-%#q!i}~zV@y5sY9%|H@x^{wdvI;46rL$cq{n23t@*#vD
zf&8}YxsG)oYuMBHFfyR7`aTHE*1Q4KACwA#7hpqFQg@){;`F@eTafP^J)#~KH!e^N
zj2IkVcn;+tbpWG8j3!<Si$IA;P1FWr;y<2=s6?bioEWO;uCStJS9S!_ssfDUVDE4@
zJR_3{1oQ?3?bhR^NEn11ku*6*$^Zj$If=AMarbCm+2(#4t_lZV07tD+tbVLT7Ukkv
zXG2KfSP7;dCz2_PjY$3e*Xc`Zg#V|Vk2;lZ_tEVdb*9?_d~-#bjiz_)Jmmdv@%^&z
z*L~+`PXz#N!;6;e*pLRTVZ5`=xk^`d+=#@FKxV)=YaGeJnS%(fvCl9BEa{gT;RUzc
zZ05Jm{4%eK1Sli*c+MMYf#!Q0pEGj!N&<^XMq*>Zu{cV@!?Dp|HI5=mr!=YIsl-UL
zF$#xke0=X%a@T%?Xy0lg8sBq$IJBR29I1}QB8OSp9}LHzYhKQ-Oz$VdKO+YKm|qx)
zkM6GVE2E8OZ}~b+=XfeHJj^!M0@cJgmK~Yd$)q0*3D3tv!Tqf2XgFG{9cF2NB$Vh3
zxho;u(u$xY5Ng%C0@UIfTC)NB-A&>jcN7s$A+^_WqHw~f>rPpYdyP{|pXIDos;?nb
z7&gu-<~8HAX*340G^p7)d>EmZ8k*GAjC-zDiRMC^1^ZV7>jwrKcV|A$S6RifMovBB
zXtd94y76g#Fyi7a<kk)AouD;E(AQhAHh}&tm)3a1_H5s)P0F=4o_iym1m}tA@I3GM
z$lQ*1QGrcgTyb8BfP0RN{)=!GXS0io9A>v{tlo3?-g9oT_YsGp=uGdly)*uMTfd;y
z^!qmNZ1+59yv6txbKHClx*1|GdNeXWxR;ADv=eyGfJdMQu7{AcA*7T>^tnYHjk&oE
zujKTUc7&@*0Y2G0VQeIV-CDU>#F2@^hbIn4jD<O#j1G@+e;LH_c)51x9KuZ$@ZDeR
zo$!(g*=z#!+_vAC{kQRbZW}W35*R2bQ(L|i`uRHPC*m)9cWo3>NIoMNa@iY4Q+|d|
zV;rm=^JlDDg_A~(4^5Qv=u-mw34{y7d$g})zi9a0ksS6P;bsz%9O9S9@?aIFw~vn`
ztD}6CRg6p(J3r9=I$i_#0`?5?eePp|J?v8<+h)3MwLl~4@Ry&0H0oHPopIwY8Z4oE
z%#cQUk!3Oqq=r`I0n8M})bb@$5csGQuc15brCoJcgvWzH4Gm+ARlB|7(lfWTMMR;p
zOF5;P*}w0aeG?NE31c?xR=a(f;z>8&%<1z_UQwTQP4=eVs<Ec5oQzbXFHyJz0H*sf
znIjaf`ff?p-T@SSVY$=3Q?9+R<U4>|Ca;9%=;R9^e&fF)oXm7HXKT<Hm}_0OriZ@J
zoH<wrub7|D11spBCgbQ?WCAl;3CnuDlO90=-1?bS(o0tM1F!HAJcyTDFxFv{T5d_x
zGF6;h=f5RYzG2FY=L<LP-@kv)M;-R?gRTwF1ZvLQx$~yU4>KjoshhllziGSM&R_-5
zdf>k7wMO=r>8!WJ|FPoK+F4_1)|pIip1vuadI-^c9ybzb1EvpbgFeii`zSAonNRtp
z9mYzY3Am8Ia@HsiH-)--o*~%ueJ{m?9o9f+(fIcLRxUe+-6KL{*_^fCAWDm2Rs&-^
zZn|f`q13~icH-NUnT68W=twX)GCEdT$RznD>nWvp+<e!0tNK-?C10(!NfRBP!MyJp
zcydARl|<BQj@yJ$Hjbl{1m5=P3Z)1V8;X?fCqP<iFz~_9yWCB@qG6<?>1ZsnYhc%|
z-BT0hdT_{fWa(=$Ji5)H(Oz*u%IkyJt16v}AE@PXx!*{X%R`75$sD>7;}d{vux`GB
z@wwgi2qIm65g0vAP6M?8Qm0sNfs*2Dpx#Rlurq#gU5vGK_~0GfM>p`EN}Dw3LO<&+
zOCyJKG-J`C`@}+*MWhuc2}Lcw@}hhKafO*ga%i{7?H)=dGWm2OnSZT>m0R@_NOlyN
zOhy;mi_zp{#PSDE)I}+qeC>@oAhycZwz-7DWkv7l(X3)W`UE~wHKxky5ve{+A!_Zw
z@QDztUeU!x#2kh~Cx#EKQ6QT>i&|`<g+J@w+IqeN7=uZQeS8hl*Fi*NTn|{U_~>iU
z`QZ48iTes+qKZ?pxyhWP?t-vriXXar1i(e7FtIuBT-ZC|`a9n3wK75|M@pr{$)!=N
zQqdJN=g*wE0M%U&lG37uZf}z=RV};VUdID41-7EOiB^lu%uqMPzjpUP*j*xB>eYc+
z*F@mL%mH2(oL3uWtutq2?}b$YZt2XK=MOdkm<_j9>oS05UHmuTSrBu%>Dv$N0zN@*
zhjBm*WitCjLs1KsgeHUH))?J{(BEn?8czL9OA*<ThgyG=3P+2b*2dFMKW!RM!yt%V
z+5ejM{4T<O;;%DUIrA5I;As!N{}bfF@)^cF=n5~=cGB)y_%DODwB)@;?Q{aMBj!6v
z&O1?h@S9B|iB-?JDVbI}X+9gvobG(riSy@g@IAMl?>Ya~)8)uY0ET<gV&y@@jOxci
zW>7BM&e0UzSldRrrYnlTki-ZtxoU(8l}mG2<kNhMYQ}G#zy8dTBbIgK$Qk~g?<bU8
zxPJc4s=vOaX`CndyXs1AZV8|hUbz8Y`9bVU;#<V9P@yCdR@O+?FAGsrnue@VDo=m%
zlb-~!N_-OL)mrUfy;dE-#)H*b{a~$T%z^hl`|Pvv__KSDhZY*m7#4f*E|z@6nvI3f
z@xAiR!o|;7dj)4Gx$_gC<o#tcS|Om9G|jPSAs=h4=0l;>!vj`2lWRYTEHM7c!^vPc
zzuGb%XL!!rO8#6v_0W6riFow7>!R^Q{yh(+@;QGAluyS5=)|~YtjS&6-jab{)8Rq%
zRYjF(Q{SkMjKI2-8yTs)rTsV0&01X2^ENE)v1aFPe(`!XJ32Z(J~|3RRJSzETe|p%
zFZh5W(2r@08vunqg2;%MARhKDu*iL46OC3}wka|rdew-}@u5k0^AdS-{U7#;?GpfQ
z&sRl;HbT-#fjd%~cEi=oS$f4ac&!6-h?a2eGOkOwZd+$Rf2wW~RH3aQ81mJ1@!$&w
z=v=s*0J-e~=RDV|U?TcK`-iHM=Ze_rbSxu?ydH$chD=EY;~?we$SI}J1Rs!?Yo?1K
zg`CeSn)UJin02heUfbY7{&l<M0kBzta@Jnwp(X!AX(i-6FyL$I+i-A=)^0~0IOBVn
z?-fF`iR^t^L0%?JpL1GF7A9Bd$dx{HuXLZGjIhmHt$zJbo+TW=(<TQ4F9SzAa|WWo
z5`Q5N^k3{q?r#5UZz;4|nDWBY`}Mt74(gd>T{d0AKQ3>Z=X?;UXNN0&@gI#cZKg!z
zUk7d6?yNrwYoG8M|Fz}FPGLxWRnV~&?Ak|uH-o5F14)?6bTv9^7Cab49O}Qp)*%;t
z<OywMBai$qo|qT$$a&RPe({Qb5_dD|uA=T0)IEc`7v^VV@c^ZB)J@i8TbDOmlgYfW
z64AWK{>meEwXfKGZl<=o<2>oJJiHSrfOh7cw03e<sdujH{sKai3Kq9#pc1OmqQSC7
zqo<a(WuW3*@;oT7U>v+{oxDU_(GjK0pxoQHtMe_kX;lu}Hb)j@unlMe+K{<;-dq4*
zE5g#cX-8XO=&%8(SPnKumad8LY=@2d{&|(gBB+2Ug~{+}JTX<T+_j3-3y~-=XR3^7
z>FUD5$&(8U)he|4NsKC1%$gXuo;5pj^Ubp}Fp`cqamO1<KsWB;%UA{*89y++r0;4y
zOVbC&`Fb4HRIs<~%`>wW>%o@474}j0<y=7@OTK;Z&fd!?LVFpcCOf5ytEo=I>Qvft
z8SK~z|JDboo!AdUvlrtZqpawKA`$Do!iOE(a1Z~{lNB$V*7RDRJ6n^P@<nHbrUdfa
z1VdjoKK*UsDZ5twkQmrE^hfa^0loVF0gP6#3LcaJvz9Wa>dYcxVUC7y6(bC4(ICBO
z;><3I7LDjiT*b&!2wVUiu}fk~L``K}2bQn|l%jB^h+{4UVtXxXZ!8dw24jg>YN=33
z1k#04shA2RDuty~EEx?(!=9(2$-Ym;0@3gV?_PUmAQhWTB$J8BSSpu|WYY0KE)zYB
z+^9(6e>j@S1>)&UB%4jgn#oO1#SZCHhholCxo5rMHlTNu(~p}!21b$6kQ3Hn5R*7O
zjrppNBi4}E#mGC=W7H#~ID>ogA2c3$<{+LEn*`U;09LbQ7*@hoi*Z~~_2GueSjMty
z6*yEds2oOItKgQw<qWP?aVcheFq%h=FJaahnzR-O@D`tR2A&n*{H(D~vF=oCBWl9`
z7)yC*(jav*tUZ8_71#@Wwr95bbP=OPEazBaAazF}q+Rx1fB5jO@$p@U4`1(=Dscp=
z#dCLwe`wv*#*ZF5dGgrNaY+20^5aiE^%QnhibDoJ^hQ!JY0CyWzlKbM$Ut$aT%1(b
z4mSNX>4@Q{I|V6<bWdc4ay}Ygzm%HYT)F)-YWB^UiO>-z6|Mu{^?q|q*4ROAUq^On
zMl<(PTQ85a6)D@Sg!Pkt#V)E)G`g~@s${7hi`=^&bX=$o-Mvw{rEuxCa>yGuwn|Yy
zxxX+lnBVuHIZLSX&!N2Exk=x`%QmaO={qplK~StZ)ktAqKEF?5H<YW8uWg{8Ylw#7
zN<y*nka9q~_O_o~pMzB^)@n6ImMVGS1mF!sn!cf&$%YO|Xtb&a)}c@~Q|^4*r1&>I
zSBR#fg~#PMH;rZ|OW%w{UhFjP#gWK2OUYDg-DHQU;o-0jVrP5<7ylMK@3&#ua<ED)
zcV1(kPE%>1puWxE0C)|F#(kOCB=``S%v)z?XO*0`^#{k?-b47ecQ5jBr1xq$hJ`%I
z*i5T6bKn4vSZ3ZO{`QM=S?>#4=1bA2zJer`%D1%-N1^%o*eo`~YdaCsJ~zY!2e&0L
zj=-ia;Z5mZAzZ*sYOVSL<~;|C6$_<qC=}4=8C0Q=vI$x}RDUEfD7_iizMtI;f{6@Q
z(7`1aJP`?nEZf#=!^ge3sTK=KIsbKh5FPHq$ga6=!)RhZ>tx+``$Hjk3;ou%Pk1Ua
zwro$@GJy52*COBVPe7l+3iKWuXOC>($J7gYgOFcav{lIUN%6Aik=-C5b>%p3Syg~_
z2Xi$SgNsS%zl$dTZnX<w+>xk{4Nly?hyMD(dKaXqs^>!+-aFq_icqq;;RxM=@(Qtu
zq>(Gh&g-INiOhoD0AdfPyw?mL3adeaCN!AbSJ#|u94%{d>e#WVNh{L@Ll+<!gLMDX
z(~iN6Wj@I_rb&>x4@!Y^9K2cDHjkFM!$kX@7tKW?agA1_Qk>TKoo{*J&}tnyb>nye
zA?3+zbXTKMUp#WkA(Pe4c^m24ne_1ZU@}_#ZY~lH2Xnc>R5l}RQF?d+4O2?4*{#&Y
zLU~yu^JTILzz8z_=WtyG)@+&28s7^J9g3%PITZXX0+jLb!-r0vK6IF_pHg|;@p@%a
z@k57RV9r`|v$tc{zEnY6EwZF=dfI+mUY(xSEux%9LbuP(fshl9{~Zpy-}DXP1YZYa
zG#p!LxvUGuFlO;gE}wqqb<WUT_s%pH@R)W1_N~V`LM`5T9A>P7X_J1j-gVSF44IsA
zhRikcG4ce7{-HmH;{*Hw7$hzXw;))WeN1$<`D<rukc{99Nt4v$CvSc=TIg(Tz|%tq
z4h++Ik}8)|bku+)_yTCpU&3wmJFvmb_)hp<Ds3VO<Ot};Z6hlhfH{m?DinFzh0D&f
z+R)}s-LgtE!^6f556`gCQ(P)P#bzI?<?*kEhGpg~YmR=Nqno>SwjTh@hbIpmzV5oi
zho;!O+Vu3HL(|hW_VDJR1{XXxhERQa_x0EB#t$xTg2Q|Ig3G7&MvN6{<v6mroC0(n
z_WeiS`+aL&dg*%EC<CMS$kPY0ODrF%K4LJH5)h!9A7R3gEq8@JXx0JLgIcr(^+j`n
zIQ4{JTh{VCCI~5xq*v2|EQ9NMfu#W9Oq|18u3kVyo-=d0g=Ie8wpZnd>5<k*S(Rg(
zCB+QcbJ0!V*{x<J!+N?oDmPun^uf$?FR~SQ{5)%Q{#KlVe0%Mjdq-~&k9F-AWv?`5
z)?SR(ZP@jNzLhM%PtehcU!T)+J+n_X-|U{3q5OK@1*oy;5m)r>P*_&hWXOLqXPhRU
zmQy(hd(zv_xLeD%x~*TsniCN{%_^cN(;exiSwob*=eoCC>6|sI?kh+gp*hg`ZN6vH
zN?-oT`~l!FL_LPKZ&6m%Lm>ty4U2|zWosO%FMlpSI8b;;E_W_J^gfP-E75=}n6tn1
zOTRRTXY%jhW9RZ5yB_}Rqpbh8kb!?2b7mfSFMWpo5l{?KnaOap4Im~#n@>WfqB^C|
zfC)iRo9`oFn0sKfZ8py`M(pgsK%0SHo!@2)(4=SVCOwm1^>Q!s!6%=5a`(c*?$`3^
z*ACU|Lr?PkFQ6an9p2OK;+Lz5y6*~IR6bgl^#{<yfJ@YLiBHf)x*j@>@`Z7P>X)gh
z`IBlbC1f&sJg<|qER$W!3yT^s2%njegcsdUS34VO`*b#gLBPa12N#D7@@&{e47n%j
zU*9I@7C$D;rh4T9pXT4RgLarJDkHR^6M(ldiCzgJo`kf{DQY{5-+Vx^&@caT2qB7u
zb7w<n#A@fX`E&<}9(Wa(otRI{Rov%1BtKafU2g=l@GjX&Na03Nh(<?xI$07e2oM8?
zioqC{5NAOcsUS{Ts(D>iZei?}Kwh;#uozn078cv&udQ#6wDKeQ!EY+)T5w}vIK{Lt
z_W_M6&oqmbOiIpCfDji~Rz^;q9K`FLHN4kqWirI+6^Em*peAAB!p)y@1Vf!`D&I`_
zT7V?h5~+w_qlh$AV}}@6q`s#eLayEyi^XnszUsP#ZjL3!pBPWPa<GII!dN3*8gxtM
zEn{P2Y?mE;*6rfhm}QN<1y7d;2Fm)LU9#IPd`)udBHl5CjXpfyXE$ygatKGP|2;b&
zO1Tp)7NbuM>ii+J06i<Wmb16mw66?4HHfs*OH1b6kR}VA_bGzvaeCT&W?uPk?|UC`
ziL_(`%i!09o-@Cfv)X`oK!rl>u4-xGbR%BTlEmo;GVQDlmk<rwZIp!)v+6#4ae8%O
zVwW)^!^nEJYhq!orESk-@Vns*1RA~Sl&cc1$7iR<vv6thb#3|D8h+O}5`31<rM7b-
z^G*8!U%S%>&zfyNU`)#lZ8h3<?MvS7NgGwKYtxRr-EL#gxwFR=p6RS>d-Ny?iA3hy
zfWd1GnVFbB2y~Z;llu>97LD;L3IeP;Wf%9Vy-htxI>v#I3)+*2E1MyFF%AOlX0z3*
zYUA7b<0K#;NjZC##KUgvAJT5qVjx3Rf*e|#&kg7G<{sLWPdij-TE7CPN{ayx5(&}j
zIU${L<nSJtup{cOaRQ)J(`Q%Q-rEMKO)v?E=u;vLK=btl;HS&*1b~DJ02&Ur+Qc#R
zdqsaT9Agv-lXK@>m@M`*yyrxKVZWv?x3>X>c(1m?H4<^)40w=kZwO7Gui!d~0xXc<
z^<X5i6#jsImnXby?}*77GH3K@Jt11_;ykhbY-r!N{&Y6bAqS~tpEq>@wDkp@g!YME
za(Jbl?Qn}@-><K#DQ_PBvR+2(F}!YMgVANWo_KtDV4{B|W(B?Z|9N{CI7zRvPPoon
zm$&ZsOW(VytGlabrhBGmdb+D;CYh;BCdmvC=maE_M4*5qCV<dvBEkYviU>gsoz-B_
zbtz<B!)15J_2Z6O3a)n@#a$3r?Vo<%C!hZOHoNGL-Q~0L{r}JNzV*J<T|Joy?sQV`
z?Y!qb=Q+=L?&mo@Z5a=|bT_Y)uJl{`y1VBU7Z%Ujy`i2T)Ys7i`0W|j9=fut&D?(&
z(NUHk0>*GxzfI%1cK~yv$8}-!xSG+W_v7T=zWfvSHv%8#(~z}xpz|ys9)@dV9|nCV
zsaCy()W(hL^w5_?tyUVjf@JjF23V)BLI}a&zC+(wqBONCKTqoDo2nj>zEcR@!Pi&Z
zH<2mNtA<N!w8FBL1z@!n{B{q#coN33K?RW0+zZZw@H2nsqi^(uGKym~%^J#!<S}It
zP4}_sp*6=I-CJKI=?8lhQx<alpw%vF3%(Qad)g@;s+vL1yScmfg=F%9SQPGFY(w~f
zTa&)u(S!cB@!sINJ2=DLUr4216bXeA|0)p*MX>$@{$W4OCrn=VPYM$xX`@9+ZCvD(
z_O}j|&I1p4U_qw3Ay^DuTmvvKdXWz>sTA=A@&SHYFxibWLh@kiIP$)@7Cd?b`PUTd
zU4ZhR>KmSbZXL^FiGD8IPN&;h*bZI6(l5SG#R^Ca1`kv#p6le|tr*tAt1OJUPFvKP
zXd5ctj>yg*reWTVJ#l0->Qs#ev?b5^tnKT#EzsaIb0L~c*>_Du6NxC2kl2~_(`iU9
zZ~i0ya)Hr?b*#vEM=ciHg45ZgQi&@_H$661G5RYq@UKWN^eHHysu5C~7OOLG!i(%Q
z9cyN`(U^><)A7khV|K=}Ha70Ob7R9Yft537nwzy`vbNbgb7qD2_)Laspm!#jg%}yQ
z;GjSXOj?#}3Mx8^RB`Y=i<B!)<=9u%=aluI_xPQDhXp;~u6HK50-HPaX|d_T6vuC?
zO`AH2ewG>wEJ#$g*a~N*Z$oOgYPCkA6w6qdSgC;^Rq0k+RCesTLj9e#?iQPH?A*C#
zli{Jw=DBmn*t9F6-(y1<DGwVs;UPX(^G)+PMAy}sj~2U+9EX%*Lz{DqFyRQUAi<MR
z;eXAX$T9J&uYM1jN8L0O#ODk%U&)ut`I%QCk|p2&qgZGr6i=k@PR5>k)l)BUV}wnB
zX9M!&vi7z^x6DTo`T43D)|3A)vDD>sB93ZU!+&68@iX!^&)gUEJrfwvIQCm(69O2E
z@AviDi@c(Uul?6qqOn=(!lFfjf<9FBLDZI`(RdzdlmOI37?hx2$E2nLA~j_!B@;bJ
z3|*!oI*huLV-LfZ>0FC$gR6(-1_b--Eyv)rfAq^EKO!*uCJeFfl9@yOMT{1}4tRsa
zuEpLVG|1;9tr(cp>2N4ydJM@J3_`MJC+X{G!2y!&#vj)QZW4;e<6Rx2Z-SP+3sIGb
z9|6=ICP^hrDS{J~M14c^caxDSLnXB}|8F7laen*b{!f3LEs`IT3r3UgdlQ@RzBf5|
z($eFb-pA(YFE-{wOtI*K+8*ZF4J`N}Kwng)0gai2T~s$`u{aB@o8NJP@bQoTj>00@
z<1HTy-go%$`|gH)y;D_)WHNDN!;TeO0{1@#-S|1oQOQc9GmjB4O(Yb%1jmTMTJAAZ
zEyK43v)~8Psq|F8JB7oQ^yEYaOWTD{VeH7K)=-O5R-M6W?QjfGFm`)$d+5nPbFR87
zbhS4)8=Rn>o(T|VW>DHO3l8qFUl`<$wCNh0b0mWt%@X&GQIm3nP<O}?93#8wj1kB#
zMGM#B+*n`FDxPLP_Oai_5M_IbM31+wYlw7ixVYLRtrRPy9Nqb#wqMQ>p&g*|?vdk=
zFJwQ)?|#gWsvlzu<mb7e>hN40f&%xKrGhOw`d}WdV-DK`5cIHo-<zt5XP>HA8;v#T
zSa;S9<Pp6SD2S;ZJrq|qImcSiFNl!Esh4}Vl)h3-q-OiwnRKFfC0*Jj{+PClP`WJ9
zbhEvRdIQILnZ8(qSk5ga{oOT`d!`ZXF|e^X)_2**!==qoGkPR&vDimHs&uyZWnTC6
z;v*l?hdtEULZ4b%=YqxpgQh!SEwUf081K<n0|U(URqD`@9&m+gB@ly)d`~n$I^NR;
zK_h$v%%22>u0VPR=;0=HbNvLQh4giM5{7p+)}nsXq6yk}W)2Wso`NH7Pf@-u^v-Q3
z;%~3f&ft*8Vsx7>?(FQaTKQ=m)D~<XAR$(azQuozk6;2?>ovd6xh!N~1Q%W2h@pb-
zS%wKY8$956XLpR;4HrAw9^AY;_H3Pt!dl6mafMIq8t~E$=pa7`5z>Z_ZsHqZAkO7l
z@|8ExC3SGqxC1brv(T|O@CA}rFQ#q+*1Ef{*(#l(5JXk_1^j?uBo=5O7WC5S1*8K^
z*B#B5B*bOJqnrQINIG3OJ;{wiW~&_8<Z{%cPe-hHsTkSt6Pbhib#E>nH~HKoQX3F|
zQfYf41SL6a6(g~d^|^sWf!c=qyUD#it}zPSTZLW#onQXB#XDHqc3fi^oC&|NHoA{X
zj7(t5U`K!l%qnm3XUX5L13Py`CZ1Kk>|*^@KTL+k?|k3~5mDgAWeazKP2C*=H|E40
z4iQ2)WDRvNDkoRUA1t$H6^{*+NPe*QjaL{FOv4kh)`1C#81Oze5;o}Y#pA~joh){o
zc=Gs(+q5&ocaLAh-6!JJ*=2pYJX?)BTlkbl-+jUlO0lM0yK-Mc`n%6wz4y`9Fz~&(
zlR)%8R<$i4jM&x605AdxGUkFqzelN!Z|MKMN%a4|Zm5!-TRl4GoS0<))d!KlIv)O=
zNv@s~U3TuMb5igB{Tn>e<(&Z~IMHE~?~wD3;C+7kGp91`deHDNOkHJluQ6*1;{NZx
zMwwt&IAT{X9#XJ8q=mb~-&@#_bu4~e$ZtjU=|I#-+z<ADS3hXh+z$%ZJ>Y}vp4gx|
z;Kh_KTpiWZuRN_I=hv&Q(GBwx*J_S{)c;NBG>jGX!4Ix6g(P(zU;nSslZyAr{UFyq
zLN54O;u;Xm@t27i03;bscVe7c45)wNp3@$D-8O63-j7Q=OsP0FhArXq2qU#^<X56D
z%y2MlRod04uNIeoY%VMm3t?pSN+6F{szRlk%2;ZL7L}b;G!T;h_eB0VgDh^}3&^`G
z(p{OB9xVFd#Q`=HN5~SsXUOQ_S(1m{Wc%OU>t9)~4oHBbp0%rkx!TreEmy<$W^uct
zh1_>gP;v#iZ|GB3=XCC(P|Mw{%lD#N%2zvaWE70l4WM%VzMcfH2?fW6pzrR3p!2TZ
z#pr`@cVA~a4rDw~xgEnD7YJ1?#BS?Z+cl2*x+<$geMNBUg4?Nw52ch_uYOeLQ8v&u
zR|30OUlhQO5zsFkub<D+cLn8#mg@AhHTpXw$21r<e+|B#BP&<g1;N{DyLb5{S=?wg
zPNvQOs{?4UO9v5YSRc#VERLVup_Za)1GzOPGS_{9H)7@>zR4eeP_AGJv|@*jr&4J!
zWyS}Iz(tWO0)ZB@Th5>|IW9TuE<=@oo#OgQ%4<{*B;`0+Ii;G?FV7*?^`b6hvBpyG
zh#%H=y17OV$IbZog0(g|Ha59tEsP_b*%sEkTr~CMn1$D{k{BA+PR|4&xl_^VnYUu!
z6BNNiQ!JFR$%22aZobSqtiy*79kEz5N}VZkP0nvzQCIb@sCHL&6(`_R0IlmHw%oPz
z4q~7rLk{MEy()qSDINPn{YTwP?4v__84F>uH>|AW*KU;Py6nYq<Ud$Ob~YK$li8z3
z&l)U;gW<DeMZ&?%#6<N$(>8Op=7g9+!?E(r(PO8w9L?<WS5MC))T7Zjf72Z|HN)Y_
zY*zIU^!`5vs?<XY8)yYufM5ATm^%MF+FSrZqye2~Q;=)?u>ePD?Stv`p@nQIot`L_
zGjLa#>6x_?=gzI2n3*=#kt4U=yilEu+WB~DJe9-_i0Nc<BAGJP>T&bAL~`+Hr3i!W
z>`Zlbdb-kDU&rb|JX>FH-Ei^J&HejJmBoembaFb8%vLJ7WTINBluu4g2ZGphYuCCN
zuwF!D$IA!smUg?nV2|`qn~YzbI%+CVN#8ZYuQ%07gxMrHvdY?FyaPLN$y9G#U7fEZ
z19mu!6wUQ{#G*TQu+<RK)ySQZX%n!=L4Gn3i(A2Dt+v!Cz`ZdxJ{z-wSkqal%+>1k
zsbq4hj-)%#x%c1M9hJC2oF_pm7EiD~);n7$SlGOdc{_uH9MH4KC2<F33#`>N&Z;ee
z$N(OMR|9b3s2A;qWKYl@<Ej#=bEvt(59NGNMOsJXpRu<1`_Oc;2(Ow8g0&-uYule*
zI>ku+Tmzxs+E@FY_m5BUo_YCPT0l5o2M8~2Tr!_yvYh@ZfA5^F&cePw07f=9dHL}L
z!-)UIStLntJDE-1`gELk<MHPmo%dd_W<W*J|8D{}!oZDuU{-T{=$?#@<)(mH2LyMg
zAX4Ic+|88%OrVndN<5yd^tUR>c>Ir(jt0MnmSPAC{hea5U`zp9?rj&YMMEj?^{f_b
zBwX*W3Jc*c>$&ht#oo(NL=_cO63Zz_6f2NPaE0?S&&^*<&&~#ev$NBW+#f4!=7Yz-
z>qt0y7#qbRB+jG`N5e<H>v%A~S%}^L2rNiIKyGXaZ%Hus@zYonU|Fw!y=A3L<n+gL
zNZNlzb54UE^bk3F&he(dEAT|%=YTz`G}21rSFcp1*6>B*l>5}K)oQd;yT-5)yEJjd
z{IE|QbC1J8jZXab$^izKsBUiwMw<IxK#2}mK}Q*#n04XR0<B-gosQ|@qQ^@$y&({}
zO3x8~I^OAya|?H{mBgTg@AkHLS9G>&RoPEfz9e7eonHTG*NA7bTZr58D)yacy~=j{
zWqkLu{`(>?{E5iYbAeOHgcZ>JMm=*cut&Y0%1X&yY_Mn=J@5olg2vWC;t!LEtDOK?
zH5BJW{Gyc0w>Nms`pu6QvJjmls;rugA6}ZBIaW1=r<ay^)>0_6@W2!pcvd|&^MQEQ
zy)73gtyP$RWv5$IyIN^RVWl?L4=)(Ry#3Ghb)M+}rZzt>v2bSLcd?q4W?P>5BIAVL
z3J)N^#Y!Y+EiUc+a}8o2`U@MR{#)m|IN&J%RM$|7SFQk@vJ_@>wNPJNj)#ND8i~w{
zx$rS&QyVO=xq2GwCMHcD7APwohyG!O?DWLK$y@ZknVdRyjHE}#Xcwr~1z+Ww5{W`r
zrmCM8F$RrP=8CIzvDm1DBr-D7^0^|D+z6PNX>!yPYtu8pSExSJYhW28wiC#v<vXv!
z-=anJwe}#`x?Ocg#61Fq(9X8mHEr6M3meo2oiV3P7=BUDHvIo^(0Y3e%1q#}*GMd5
zgL<o|w<@;l{dy*`j-5l);K+Ipji?s6qXGfMa&{1<cP~cVOT(tvO}!03MytgZFo@73
z_}6^7WL3y4VYXlx1lvUi#*A=c6p?Ph2~pezbbVMS7|Q|Jt}4p!ea`qzeXdxG-;Rs;
zoERN(2xBHWo{0Sq9US_sbr!UE8S@<LRSPObO1uLFFo-OggpqehXMyWn1dVyT*g)Y8
zbQpzjb7*ItfK@&^mo-0COeR8y>_TC@zZ(u?vQkLw?@ktq;gcqE6sh0+(F<lMbG~dD
zG6QFO;R9po%rrJK0$<E!$4$mY9T)wP6081NfM>33Tnhv$U=f@Rj(ZNx$B+T|oE7T6
zYne{J<As5Dv)Cx1I*8Y(df_E0iuhn}n#Bg_fxYQ=tqYic)67W1up148P$o*kMsy(C
zir5v+9at8aI$oW-@sAb0X#)F&O@0qUMEY0e3zPA@*~!PF(d~G?zbz-bPd@pi8DjyI
z<SSJ(n<b^sW@VuQ4l=(GA5m4FKhnnIn+a|Vv1`qOHOA*p{}kt6Tj$@QLu$BckGe;r
zlst&V4)?!$Sl_^l?me^U-eda$ffk5hi!#Xqz$LDGZ*l@oe)Et_SkJ|er$9$1Ai(?t
zD3AA*Ykv6>ijHdfh<lDb0&VPqrZlmN{?!ASgvg>nwHlv6X;tGho>Lqf*P^@1v`i*p
zl$_#NX|kg;y}!*c6ii%naVU5Vq*qHg2VI4sx7;`nvC#A(e(A*LQcSajB5f_EzpVjP
z;1mCaLlbrd1|`U6$l6lCSkdIfDNpvUMk`xZw7BU42J;IDuB44~jCKUUeUD81DHgK-
z{KK{7<=VrYO!`k{dJSgV&u3C=RayK-Tz|?syu5ta(qD7i`1p96T1(5e;iSj<9XF;*
zo!R!d&Is0c<-`P%v!BpkbSdEZ!bs-=j?I~4$OaZEx4^6H3VA9FVj4p(F0U0Zi%|%L
zK}XD%oBoBz=!Zay;IBYj=2G0QO-wCOf`@)0zir7j<7A7On)r|%M^U&o@Sk0aLRN+x
zuhM*hb0Z`&`<u<Dk^AcPf!_=K38su@n8T+5)<q#*YP*dH9l?A?!-PtMw{UXc93%%b
zS!|om8NImZ$wm|RoilPSPCxFk<&BLQdMvMqX;MCn3K~um*ch<XJ)hTxaE3|)_A~{J
zs5FKkxsH|fp<p;1Pfurykr1|@kH<5iNHIH=iDNe|Y$ux}xUf5JC>V;wGgB;;!Q!1!
zrM~EA0p`(oCQ8U8!?9F!IukS|m_h3ASU73pb~F<&B11BMP%0c9RSGeAgHnh5tj3%=
zxN84P2bc0UV5sW;=Y|1tP*(*Y0NZl_h_i3_4}do;VYL|ZInZbB;=jhsVJ2Ye@*i=C
zOtV~RMkJgC<AxjhyMeGf{##w214{BwD=L?+`jbGKMkHoO0C^J)h7xmANVj|X>EMlL
z?<s6-TsnO$k)E34_H-DTh#iX{CFI7&i_OrCIkTLJ$HJ(=P9V2aA_BX@m6vXA#!l5?
zVX8zT$kh~2Kt2wJV~O<gncI#Zx1)^Vv;xTCXnr1jEg@Qm)-gs{p?5$_K}sNYu5e<l
zZmN5-Ha=#VAOz~+RE=1Kr}RT<;vss0M|f@27O6I8e8pi@%^}H=v_^#v(iX?+FWQn5
z>1VzHy;9lj^S-2{`b*DKrrPO$#G&0H*Fi9BIoHnNBYdx;g)b>dzob=lz@$a5!Alz7
zH=y`pg(l3N`3J}j?*z<_k~{B<*k<0LGN-l3gVc9OPiRA+uE*uoK6hso)w|~H>BK4I
zB8|nf{T?<M4x93+<O~|zLCl2HsIImjzdt_P3TC*MRwme*{c$|*cO9<PMiYHB{E$Ri
z`aJ<Yh=WnNmK8^}0o19hDdgSkHje!hR9~$J6y1EIBI`TRgctvoLi9JawfOBmEeR3G
zS6dFBM%%HlSR^q@=_s@<Iy=sPQ-|QUUaa@o*(!N*zvtHCzCm#gxm+E-?etf1ZiP5!
z0AxxInmf#oZk(zf|5en(PV2{E3kQjIbsvtEXh9TAeeg1EjD@z&J?z0Sbm$<YltnkL
z=z&V8koW^oMUWhgl%l`(EEr25XK|Ol05dRQieTzcb|AHJ{v=Am-~8dp15?A`kFve;
zET)0v`%0q_h08)~qyx6uL4J6eO<sc)x21Buwy-dp!!G2Bth2hZr|_7_@@8&!VPS3#
zc3G?Z8nNqq=p`?C3AXmhE!M~Kxsdr_eGxGu_Dh)OSuH=&s8zn@#PM1+k6kB{sSK(a
zpbu)scQV+gKAO*0AyM9fu!krcvwiciV>8(r+#JUrt7T`79lQB>y<Sm0zXy4YwEG35
z-dxM;1u9@D2O(7qOT#2}o;H}xlOWKZ^GpRYe}WV^f+z%Wi*aqEOEmoCWEYYr<tj>C
z17XbxWyft_YNr=}{p(*>;El@eG?3V+!nhZ5@}L{RL0Z&*=FiNpnxBC^^%nGY5e#Rs
z0o<jU$zR%s`Ae4omQ<s6kapNd2q^qr$3sqd6xZ7*j)B29<FQ=6kUMp1bNNWIkcM0V
z1~vNj-yE*aro!oTFtf05A{`E<G#Vc-V2`Il@yPP#sZ+T^J{OC#8zXMdre>>$Q^9ch
z#KJ-*m`;a9FYQ^D`BldMVl^;&B_b1h!7&;LSh!21<#pp{BOr&DCoOZs4fo&w_UZUo
zFcQhMCkspKhYyV(FU6M3&t)Q!;8=Y6?f2h*!wtroybKZ=S&Eg8j~_a`zEqfOgOmvE
zR9n$F<=>(BRi%hZKx&l@q4LPiSHbt4bI&`|Y`LT6MUeJ;_h#*4I6gkHQNm*1bP&1q
z9IH@z8CGimcyHp@R|ZioUfh@%kB5tPb{TuAirpy_Lbeph!r(>tV|Hqo7$~WL@bQns
z3CO6_?pRgCn(L||ZrslL4vFj-_di5hC~N{B$<NI#4<-NcI`FiS#6PKIDG8x7l1!!+
z%4P8cjL7}7DsuX+)q;+gL%xz#;g^bVYN2NPYT+6)6tK|_!%=cX^@#!#hMU#_y%d<D
zLISE~1^%IDwXlIFu1t^6?yrJClRL-{?7|&h@JC=<mHE??qI{_bGcyYyje#DRuY$2S
zUj|IO$jiz-k6aEfP=z-}NeEkxnFfxY1EA4%nL`aIK*!No{=dH@?Ysd{jz?bp^5&+i
zbRIkQqODhv9r$*tsczkLQ)AIBA;YbNLj2`sv-$FuKcY8Ywe_N7$5^o6_3y_6g=w*I
z(@j)n@k}vHNtR!4FJUi|^Q4jv=IF|u5}-~q%sTBs?DPmi=-K#OJ~<*iMnJ};!*Q8d
z>~|I?_Lz@+L@}TZ)nD*HFCy4m+4E^Cw4av2Zn-l{PKL@?{WZy4CO`N!cvG>y3_w{F
zIs#8F*{3rfR0>jwMih2*TJ=A%w$tv@Sm$DWf`;Zi)#{<)?$U~QWZ~$swV3piJx1$A
zI9NM&bm0iCi`t^rO0#)GEOtY)xnjCZn7=#^jTYtG>`ce$da*FSOcVQ$+u3ZXl+D^d
ze)~J|Z>dynmrF|l1A6~ULKl%0iT*?MMpR3*7tGC*+w~e$K$2*<N6-Y_Cl1t-1|+e{
zy0lb|TAx6v@uhew9n79h$78|#xfB$TW5;5_Q0iPh7>lRRW`pTed}Re?LK$C~qeu6b
zF`wCg@0#yrLT=rAzEAp$m<JMR*qgb=^akXMdoM=T3!#+Zaq_`(4yxQOK9=U_b;hF$
zGiH+l7N9C(7Uw(hfpBxpmF^rTEp@TU?CMxvz1np~-Z`{@8LN8ELwoq?WvG9#L?MZ#
zD;HK)EORuuur5M`69qv+RV>bm6p1%mJ^w6eX<ho;^*?E+^TjMOHJ0*eYh~ra+4IK|
zh%E%#UDj}oO%lG%S$Ihggzb=x9<C85d%Wsz1M#xqZWKMZBQo^p!cB;;6um%R@GJfS
z@h}3H9fPx9God=IM5wAg{8mAmSp44%THq}BbO(IehqI36NJWMG*&pic(-0f3pVz}R
z;<7I;+E>^{6hGI80j~H}n30PTu0qSGw+YNSFDS|??5m10-+rWW6Z8Gkj2LObez;Z?
z6N!hw*5jq7|9YUyI@uvr?<E&gj2m5;%gw1UfMVj8vt99&G*?9zpFWJIE`|6fgX_0x
zB8;Xne*3|MtcY6_y+ZV3@Ei&S#4kXjxv&9^!G?=ZB{VU65Z#(hkmv(ef%N~1D+g}-
zBu$o|yp8Jzwvj-q=LH&jXW!4Kw^8A_jqf1U*0z#=jJxQ0(mvojB`&v3938i<bg6@6
zt0<|#8XIKpwtZmp47MNt7MkbT&!uhGh#oBH>Jd&;PER0{8jBEcG;$Hi2w=1hg7N51
zjDVf9@>xtF7*~#|8U+>`LFj~l6$u9kFc_bVb)<2?TA&f_gB<;wkN^#gVNU-t#`agR
z_vJ)j9{6__Quw{_FCiN`VmdLDa0CJ2O59tU{6ozc<SB~{V1ev>C;fni=D&{E)bbr}
zjyhoPP$NgA0mwJ-F7T$YR#OcHbJ(<lpAF)_>9@Z1t<mUPgTd`b9(g3Ybi>MW<q1R@
z#`0MNC?ZHPn~(hgo>Z1sZdl5`1BHV@l>b~l<|}f8zW0cE0L9KUvXAs?v$Hk+-_k>E
zw)(1#Tw`goxl~v8Ons@jxzxyQysGM!cxI{TJ$;21*CPHo%bh`7zYS&AMNClAdm<U*
zmqafV`B%L;gwYAyFRyuttJ@SpB0;zYZV%h1GA4X`*jUk0g}39MEJE&`o+^HFe7gTM
zXEFcpP`;>?qLzugAZ#+H?C|aI9|R-3Jw5S>;?y)`;o>J^g9RuU>j+}vm@nk#0!2jI
zw_v+_ec-K-Y)Mk6XOWN)1&Mm4Q8$}T{w*I@qfS;DecOr9_4_7Snn(k(20#J%pUk8#
z+Ax+ck@A$A+5FyXE-KkoIb{E#g@;3VMYe}LB0rhUZ$<4T(wFj$nN)Z9@_`{K?!b#-
z7d~`?|MkqDSP|%}6Qaqv@d(2G2|;i{!ZDN>H&@0J@yw?TFt(NYR3>g7<ucw%VfP({
zcr>vZ&%S8404tgkFC+9d1s!n<^@@2+#1v2i>OvY9P&&R=bJ?MLq+-P#OjRyX@mm-%
zNwllue;Sd#HnehkQ*^i<7C%BLZE+{Y9oZJKgY+W+W(!~tozF3*?HGG$$u?1hIEnHk
z+S8J|k>b}JzUT!dbR1h!0J7IB1JD4SoCEaRsH0YzO?-ot?`nPeMD;0h6`eDx_zAz~
z9q5ICD>|!SaiUzD_4N`b)%FLOwD(4=jCv|->8UhcS83WEHC{{WlANPGM2hr4JI7&f
zxfOkWg!9RV;MC~{*zWABNvV)FLhctzIuTx_*9s$jva#XBX2AY}kW(6%C<37lT27%}
zVFF<aIZJL;FH$eT&d}x$+y1LQVy9+~9v&-M)}jAgu*?&OEUPqj_~^`xu?qkB6Qgnj
zw$0+==9@Mb7mYRE|Kzv@#?n|?;-=PnfBXN5^}uO)X2B|y7S6zX$*&cxwwI*PJL`Xw
zb+Ynt%YqAxbTt3WA6Tz9{~lBnw8-&aIaHMPRMDn491tj-BI$7GDu9A}d`i4oh)51L
z=N+}k@wos^Xt4s*eFp@{sRzCY+q!W0aO33KvX!u4_)ex0*7($Pxl(!Kc(pnX;9<$Q
zCA%_5&1@*NxN_?B%Jx6}4|!+B;2k?QcxP<;z;~A4_<yXNKDDwC4$T_w@rsb>sL5eO
zup8Xi8!MIa^wc=FMuw>#4Ou?9);N54d+a)1!Dh(*R{&euD|dmPUD)RX&9X>sYV-pH
z8(jKH>otE#M2aPi$`3H6*lbH?#Hs1!2t6k=mGb=j3c1mdi3zhUG0aGUcx<i?yEUCM
z*?GDlz<aRe#{4{%If+~bw4vXwg{FW)xyCC}DiQz;lS7|mYJ+eNlv!$4x|WC;H8}fC
zwbSV;k&b<L903Z`W@8#Ao%rjVb&1t>t5E;g91{MicJ;1&=1Q)}A}n0YUCHF%rB8nC
zUHCUYySX_#@5DBkKH5op>GQ;&g?$zkI0Oq@i3kD6i@Mn@uPN@FY#6e3B2LBG0+4nd
z8`{VQir`hi6(_#gA80fhwn0Ld)maAk&#smW2qG`LS3KHgB9SOhPnUnR@}@Vvi6@D~
zzifTkA49M@#N$}!o+=tk(V>sz&15Q7D*fnBpvF=umHL;hzw%e{w7+uSxJ`=v7@SBw
zH=cUyrq!W%M`Fy3k+jk6FLCv4Z+lxYeIZTf)F7oq7n_&2dJ>l`t}Z^r(v=J8;(r+g
z3|D#9!MdZW#1l&qxd)sMJ@ZBLdGjgR8D$af6h`}sJguCAGaSSc_lBHL*SMz?2K>dm
zt}s4c_;j^eJ94D<B)nnBxAo-OO*gHru6}yq*s+Cr{YnK3G)ko%eYS&$n&cI*kJrJp
z_-VdWtv-qLTzC<w$oS%?>vg_(rBvdJJNj$~lRkchpTZoa{d*Vlg!!7+VILml0io6m
z-dC>=30gx8e+bcp$CF>HC!uhAVdCpR{hm%A9)``=U6%DcAzz=s8*MGzat>X;!5qz2
z+9K@+86UD}=b&IIPXeL@yk_`5B4UK^TAC`bK*g}!$bMB9P_GJ>dnHH*40~_GVFTyd
zz7=QzbltW14rLm|eYqBjG4#YZz1Pln^)TWBaEJurP7b~#d@kItM?A)W2<3i20wdG(
z0s_!xRrsD;0zSHkz3M=*l`w$}wfs}Lqiq}#iP`(A-rt{!uj7AvNYXV!S6irM0EO;>
z7h8T(a@AiqY)1yXC;&X4!dj)fpk2OG@P;xB#9GIop|%`~uZZDY<Rn&BPm*eLQhNne
z1Sr%-MJ<kwWgLAMc_|S5D~rS=2ri4I{^wHIhPwchZ2<&0YqIqkRj$h!I~=<hwI3ZB
z-6-1?DvaE)gOTOl!>ZowI+fdq82(GF>&oGKh#)qVLS-z!$fqWiNxTr-zLgGy_Ru(R
zPLk(-1u%XJbmV&ky5vOo1D=Q$3KSydtR63xh?idAf`^uM2%;*LqHI&R7sdd8PD~YE
z=c|-S8EeJr<tU%1<N8D4>Dp$zSd0UPaAVu4WVw{MrFl9XO55?5ISAU*;~$zPeA!|1
zc?8wX)Had!rC@?s%a=-szcXdQr(GByEAaJj^ab&dS)E9wqgE&wWX<x0P}m@>v1Lqs
z8om=Bnr8Cxc(m{<vC<@8LA$YF!N7}(*OJh#jSY1<SsrW6PDWt_A?%b6-^v&shw}LC
zw`zF=Bw;)Ec{zN#urfdb%PkQcO~9}~&|RjRrFbP0l!BzKhb(0&%3E1nv-l7Nb1(2r
zgXvL6$KUr3Uu6}%>ykFD8F)fFuFgf@-mA=?B#KzcVe9J^_YQ46!r-0tB{>=PA@6*v
zEB|)&(DgYRJFfSz-{~RXx!vLq{&m~!-MuV;MIAiui9XDIHv*MKMhrC}ZaJdJVCPPQ
z_+Kv1sHD?r^Y%=kkg2EB{dZ;x#dO`g@S%qu8hdCglP(rA=I!ZpohSWw;=~m65$8+@
zuuvWDoJfE7VeBL1BZGK2qBuugwJkk!iMZx_bhtBwAdY>F4t3qmdmRej242UU!Goc7
z2m`rhfB=I<Ee^FN+g_8fo}SrWTU)!m)4%GcuV&cTp)0#Y%5tNm+@oSftBMf)+Y9pH
zE*LygPG*wH%%uJfk$b=e`)OcOw7`qUkw0(+5f3*x`)PQv8Nz^qAPIrh5WGR3ZO0l5
zA+fnAHf<o7dRX=-wD7S&(e>n(-T-M3VbGHMt(J%q9sW9Zc0I+?JA>Z`CH(m`Sy#U&
zulJnFr2bY<>Z*=XfWfW48EBbXfR2#TnuE1F9AC;emCB<MhD5`|GXXl7JC`sSX-l9L
zq9gBj@P3Q$dutv59)Vh;p#f-o-{|{HHRY=S;OAVJ4D`(X(gvLc(1lQk$XJaA<KG6K
z{K(!0;r&(s8AzS?H{7^842;a+W|Kjk*LYuKQ_Mr=9OWL!*O2qLRf^=4uK^9H5IB-w
zXE2a**6Mamhcv<qH1On3?EB(w`^zKHk84-~!!G*Y;Md)iS?GbYQY8mnjdn!W3`e1V
z-^g%vf(K`Ui8(^Np7-xWi2)p(J$?1t0e(AxHNem_D1&>S+Bbd`f0Z)+ZriVO{D<0v
z?vp3+2XnB5RZuQnDvR9=cz`(tY@~INvrZ?Y_%&$CRr-?uYN7B|Y?;JGpKXa5Qp4U?
zbEQ)5tC%WyFqZz;$>hIIk4dE8)vH(C5xe@~RO-VRhb;CC{43ovkakJWp-E#dP26Ik
zf<uo@B68vn1Ee%hms{c;I<OepL4EoA{`YPfNH{wFt5aMv=UFAy1}S=@M0EJB9eX32
z3wtgt5TNqGfjx6yNv=~yNpp_q^=9yF9z(AQIcLLnp5(*rSZvifT4z?y7#btr%o||$
zc+olAdxxp<xA|<<IU2l+4kFR;GoLX(Ykr-3x^Q)d9d_3KL5PL~h@6tZ7T8kE%VLER
z5)5ZCBerknIfmGdmf!FK^JA54DzlqGbiyxqXFx&BMaT;+%)=k$EEKb(azj_;R|(#g
z<as0lP>QE4q&$<{Q8wZb>0xvUU79mo_i!C<T~6IsiNP(`ZV-KvrfG>;9lmeuCr8|U
z5|(ZERj&>j#hudILr<6Zq&ifwyj8W$(*C<k#vWCc4b;+{+7|GVYaGwYzH4sm0jChm
zy?~vXoZKi!nN&96F^D?F%6Q77oP@a(4%lfUR#L^;2qXI%iy+Gx1&jM{xiuX_iiCW=
zFjFdFaZ5S`XZ(!+ypYc$Q$s9$>n-;~aww#jjsXFS2@A=?llW&_;Y8M?)Y6tuwpwk3
zF-DV7+vM_73~=Exd;htOhgdVyZnctmG@*Yr`7qNwB$K5utHUyyWGHU34<p3ViM@su
z034?kxFl3hogXT7lF7I@KsXQ&AYZ9a;syseKp_<Bb@-bIz>Q{iA%DspP>I4^<*1#?
zFARoRq$gUUUeI;@Y)BA2!(vDk3zL+Qy#lj5oq=JM_n($4p2B=}A?^3K1wlI@yP+?$
zurA)@cnMEJUt$B<dXA`!wy08TQ1khW+JkllS`J%IkFX9ta)(!=Q5f#IT{v?>%|xTs
zTz88x`&~wsZb^)#KWX&QhDjujoN`x(ojL*wedAb%g|pHfv&BIZD<s37a9`LCV?FQ(
zPvMJ6QC#T(6j6OQ2W10OSxM=qr&o?xLOHZVbC5U8U6$GZ52SKfz3C;?avvd@%N*j<
zwl0A<qynzo!n1yN<ZXFDc!Ao)7dRpnl}icYlQNe$8oEcN#7ha-YfTz>)l~p?Kte`0
z6tD||;Eou>Cnk<i-CCKSFIQ$LcSn||vBx27<o%r&!Qh$8ZPCNopk|Lv<kIP??BF>+
zpAChmt0CBbUNiv&ZrA6I(fIyzcrBgAo9T4phlq|p)L<3P*tmT_mYwVD1G#`^uO)_w
z?~N10wy&cH!)<48p1u8lytn1-jm~eus|onZ-VWJXqFYrs5b*$r4(^I^Si|Jtyk_W|
zA`+*JObkdHZoo2)qm(KbQp8z8f*=GDoy6>id05}z{NejlHP$Qc+JfEs^mHCM%dwY}
zch)|I)I&&^W_}Q<TTH!vs+3BD_H&jfrtu7y=@g7J--+#x6A7{glJ-O*FQz1pR}cBj
zXXfT+kQ3cIYvzxxoJF;${_M)p{8}WNt1Pj;j2Tk}eN3aImnykz<diWtMbepq>v1h)
z(vdTdy2c}*0`R#C9<qwq{g+ENs<MF0cIbx^LX5Hq$s1$_m9hX&>5e|f(*f?&&8WPY
zz~Y|*Q}vGU{!rw{Xi}MQtr!!j2+4UOHGzyqras>c&(1EBv|tM|QWnxF=vyRTw_$9#
zVlJ61PSD_E?$rM4ulXqN#oprTuy2X6R@NT15nuV1Ge-`mj!a^Tfz;g=D;CDxRZHWA
zV(c~{b}L73O&&RN<}Iac&IbR9q<%|BPk#ZskYfkw1yabMv<dy+x0f%O4&6`$kt>jJ
z6WtpAUx$*j#tpOxALU1Ma8d6e{SfWUz5;hUobIbc4RNwR6KEloN!69FO=sxpJ@B!^
z)lP@|(!j&MRPA?7yNWabG?52HlkNC5T+xww=GQ={mt|FgnwoV4`76?&t8>cKaK;pq
zrm(SIuj`VuT|j-4%NLJDb*EY;47684!RniU*Gi$)DikKL#J`8D0>N6i*o?_ew@5%3
z+qhIXbL2>}fLi)et^ln`eH&nt%tNpoI1lJL=CCzFi4#&eyCcidZbE3Yfnb2)+9=a5
zNIteWY>9Ug)KwBq^aM!=P8YUSE?4MdawszOouk;zNR;`yi&?u}0+(-g*g1Uzzkb`$
zEY|zHHt=J6q+eoy+I-j-SUHa8=o51hgC;ZfMgtk#Gxo4Xqba3i_TP<+aL*Jjz$IAQ
zv;+wlO>-JQs@1AAEx$bqA6?2MTRfAKoo)P+Gt!nV;qda*s*bw5z1{yB2oTGH{D6)P
zPR$O>i=?x<<(_VttE<?06d&6mu|gb4#;m#zf$+{PeYJ~q^Lr|l`rUkb9pJ8OdwXmE
zVRv-|EwG?kpjrI$luwtOD+Vdb$ZRAQF$9Mg1Xu%?P!#Bf9YGc`O29k}02iw9&1Zou
zN(9(T<j({U)@VLc^boWo0u79IS?PWkhJ@SKhAnFl0DT*w^t-EsGJsSC%)C<%&Z{*1
z6{;=8MHfrmqc-Pi;r8~BF>u%^yoHUB_I^OV<=K8o^BSOemxOBoW{Qqf)@V@}P&x;}
z70fn>905NN#kus82<<NN%po#`G*I<HWzzafKBBCdCDy%wB-p210_mrRRoUKdFrRxP
zyR&M10ZK|LJ<{nj12T__pMV0vM+^a?7R2V_*n=+z?h|Zee@LmAeN1o>SM)A3OPTx3
z^IPc?HI49>nwjcn`ZitVgoB`>Lm#?M%E|15k0cWhV98nffkg6=2St$BrX&%qHe)HG
zo?;)4g;cCrg{NwZJ(1;CElEoQ@p31$XlF9^Vh9^(sTQ--<hmpWp<1k?iDzF?IU{2N
zVaO1>V&^-AEK=v;!@S3%)iUQi{hsmxr3<2g!~epPF+~YdN#+};6{M^+m6P|KSJ4_#
zM%QYH8cC)~cXD)gWw6_uo10OST-$Y9*V=dDdOwi&v0QtgQpm>_=3GQE?f-#n9HHm~
zN%Q1Wgw5`OKRVXCkVR?V<l1sqjU;y(vTZXH8@sGX?4D_yt|kd9S6YK649@yJljRs7
zrKk>soIp=QZ~bOZzWL?{@sFjp#0z=VI~{K4nQOI^J9~0aWQt)XyAzQ^rL7*c&0A#H
z@4d&jmjJ)pVtYq7v;P~dmOS3`3RrCwT4E2j%4z1(9FeVBZD?WuT;N7v0~4C6ir!<W
zb6wT_-uqtF<hrH}oAJKeUuG%X=HXGX`l1N`jkvFKyM;FHx@{bhD*>~Yx(6+Siq-1c
zaaCULvH9}8)^z*)^uF648POOPJfM*Z$F9gs9BaSDQQGCthE$;STTGOLX8Rt0<2iiU
zmo$3-^wIqh8VPy<{BXwFvyKb3BaOshx^XzNB?2wd5=hS5{>RUyjg@_{JpeB_)<*C#
zAZ>gWY#f1aBQXng5`U^%=d<h^GNQ4gD|Oo120UBL6X$t381gBABTrFY()`U)V@l7_
z-Wh{x1qLnDTV=h?fe*_y!_$D_T60F$duc?qmgr0!p_zw#w1{>&szy9g4y(a*<<U`G
zcSz-02<j5**ZJ<8Wy+<R`M=2mtlU5R8>Kg{1BiwDT`R|@B=b3Z7c|DTNsasbAu5av
z(d&Y@KGEgDBMDzu`KkVbc#$qkJ9(y_l0MAzex1M?*!1?df$V%B3yo;Qmdhe`2PfOl
zy#)e?Ko!kxBU&6QQ}In&4gIkS<jx+?_IS1UtC4o@Ih79}3FKN-8ycl0VgO4$d6ws2
zTSK~P1tKNAC}BIOp<2E8ERS{E{rz>K5d1M1guBXBWYN4*O<c4FXNAdimj`68*<s-5
zHJ?BEEIoRb$AN&2H3pxBJoX<Yu6$AUd%T@8nXIUGb(oxAp;<tmMfBRI>V$cJQB<IE
zGv~i3lmRE)0Inc|(NF+@Ut`&$%?zm>{r45@=)^>^VB3=uMFeO~PCDm*QJk2x?Lu*4
zB5D`Rjz83(-}Ya1{ofi=V?LoTYei<UI5`=O6!l*JtNKO#I#5J>R6W3qdoNuphy3WZ
zUM+LLx~V{jG{>oTJ#dl!!)vTDYp7yR1l(}Epd^M|Rs*37v(Dj)LeCq+yRFd9f51*O
z-<gI$TC0@Pi6jz*Oiv#=G(DX|m}#PjiIvisi4?JJ0(hSC!GXQ{Y&MlN5WKUASRz@>
za!b-I5@N;@&R%(1BgOOqc_NJcuvo)thr6#0i-;N>A%)^k-B}HiqHhHfuMB5W!PMN`
z(W7&7ILU<L6BG6N#6+CwiT)9gcxx&cNiQ*f=J@zh2H8|*G=gL16N8=u3VR^ohr>#s
z#Yp69;6!kU8ObPD_TvH#N3QuA_KA@z61TjOW^X&gUEaYG9x6NXbKuaME&r%i{k`nC
znwB%xfdFiGj6IkGpFutcM?dm&b?|j8V)H`WZNYn*_JH;1>V5@8skA64J??|U{c}vf
zJp*Z7^(QKP(4UELmud-OH4(7sogvpaYH;7@ap;}*4Ar*hU8x0~O|!!mWE1FtN1(mj
zjtIav1l|#NJn*5wF9g02_)mfVEAWj$|3}Ch+!>l(Rh3w5D9V8bxAvECc+@pY0GMh^
zajKOCnAiNux1+@VmJXP;W_=MUsWp_9J1f>1`5C&ub-;a;clGjZ7=4Jf^5d)Lx!xc8
zuHQl~qFg|Q&p|r#?ZGFjzBXPNdDmC=s@EUi-R<Xa*Y`Dto<iE_!4CJ9z`FuFz%e%l
zK>RJbq5<TS9tCIt;MKIfs9wO}n{_%P#QR@?5eB<p;wj#QEJO`#9cCB?BGUgulZ<%%
z@QbPGnDt7sdV)birEnSEL0uMIYQl~X!HPoMB89l+OtZeYI3LTw4Q7gSmu@-Z=Ex&$
zgh8N%1cwdSaSCIH6N%bvrC3TP4i)pM6#OzR6POrFN2jK+@U~PcivuB>OHbtUp=d0c
z?|-cnOHIs8Ww0eS3{$c6)_IfWM?Z&{&hzP;k`}hM!Q6~QZcYZxZNcQNb_8lfFnJbP
z9IcC?@bj~mp0Hx!i&n&X;rnm9?Y8(WRyd65EP4vGALu@7fa{{fkgEE*cP&U`bQC#S
zLv5>vC6PRGTgh)QyX(Gi`iJzfltO7<edHtkPx%S0_(FaO^z>J;wqZT+k^p2m@ze!%
z^%|%_K_YapFz`6i1iIl!Wkmr7ABnP7^V<U$+M!`pZiJF~G=;p@onQn}&h7~a{yq0-
ztDwtB>`?#r*hcqCpPOIiTm2T_<C*F4Ou~=uzFRve@8T_|7M$_EJ{1xgC`g<T*B4(P
z%!#vV=7F3kZEV0<J#-tWs-ik21B$ljko=(>Jtu#V%{`XMJeJF*(~mutPQTCF?<#Mq
zVidQr<C(GYp-_BmtO#8auEkaJWG4MX2xQ9qP&%E@zWd$T+?am{ENs3@hh+s@4n`As
z%L*5Y3k#cc8n)OE6G%Ptx8@V(3C8{n#Zqw=m74|g@9cE8(C=14k?||m*mz>c+*in^
z?VZH<m~~}55~@HqV?D0y$nh2{sS^Q5?*#g7WBPjDYx=6yjzcAyY*vlMNDAsp90@hA
zNsAeM+d0!~Hlh4;7&gBC3tv)<bC`OSly7(6%@=QMZ0K+{TVHZxD;xnwqh?!Qa(8ia
zZX19>WFDbaQOJF-f;WtjU^MWSE1KvB3MW^ua`Z@IM!A&Liy%NOakM$c;*VEyG;l(T
z;h1J)#82xd#3)Mky#?>_biGY_KI~GaTW`c|U!kv&-}C?eZ|Kn~n?bnF82!eVbA*|_
z*PU#Ow{hf?U-y@FYwf?s{Sx3d*oTG@)b|BmC-cJFi3W6<gQ=6k(b9zWSCmS*yU{G#
zjmn024a;`JcI>A_Mv{Bg>V!dv%K^cN6)J+|rhk)~$L<}yzO`M=BZ%nG`ug&Z{YGVc
zyf_nm_@AFTb!zm&)*DYe7+jfITwMIDf6tmX+;i{()%N(IBg?f$Fj#x|r$Jf@wZr#J
zz{r2_3ul+^Ji9uLY?S{3bBJ`j7wDOP16}x(;M@i}2IK+EoCE`E_~3l<+=H&!M`sYP
zhV<K2%#;?Gj5Ad_%6eocli{%X9euLvr{y5=X|{`vGhYnUI2W+L+ajqQM-Yo52NT($
z&x`f-u(t?o4MtifBOjE)l$K0km_FX*CcX4uYa}YBz1huVvQ@5-iM#GdryqUx39ZZA
zb5F+UQa1k5m&UWs^ZoZt7n^<ASsQV9`7M7ZJI>sf{WVZm`k()E{^EcC9cO$1hYmc6
zqzT`?UOp>C5A2k7eMDz_2LaA>_V;c7oo50E0gG^GfcI6+2e4Y=DDc7O;aD3Wfi7is
zd3gceR1Pwb!PNiyum3uq-zrQ#w5zRu+dK35_ZB9`u@`RapKZPEy%)^8QG_?Puy+>6
z;hnsAZ$97uz}DN}do$6|<2T!+GMFJG#$+VQT3wqMDXVv%<!CKr8Fe0!=<=RgaP_X*
z)mRtbb)S3IwvA@bBoS#2DyhcJq_Ij8ZfRi?SZ_n`A}&f;+=jqQ9QM8O7P`?7dgCp4
z<F0RKW&1wwG+3s#8@pMC)yLI+g>?x8gvB*%1s%as!h|Nk*479f#(WS^Ean22KwH;X
z6=%&Cg^&(;g*kHg{3_YU#f$u1J%9L!>?-2Ms(|sLXx9w_kdv>l<kE%J)%cvtZsy{v
zs~48!z8fHemH&tl`k&8y#(Fnm!y6-ZLUWtQozJva9C>IB2Hqvz{EYDw8eccMpT3>Y
zK3I{4r?Kc<*R_4dyynP}Bl#j5bj<AS=<I}_jl6B?xVFAJnf_h3vm1~1AHt4@5yB$2
z5Df0=awrYF&ph*s=D$IYn!zNXg9!tI1UBqP1VG0hGS_U7Rl>k#M}9Gfb(Q)2v7;}Y
zn0V>YV-O`0@!T(BfnYDV1=o3T?Uq|^I)5aYJaYb~TW(n^!kNB>r7#Yy6B%d)5!(_g
z=1Md*2Xq{F%4Q_(#0c*yT;rBt#1zL>(bk9=iQXYUB5BowX>+G8-MY)PHLwI~GAGTd
zyyQ?mcjv9Hf2%FDlY77QK$Cwp(874rZp`=@XpK}NfSM|RIn5I!6*%FH2+N2CkEIIK
zDnU5F2~G9*Lu5ys2N4^|ng0%~Bi${AZ<@~Kck{XF&52~O5Y5-Bh}IQF?xt|Dn@;`_
zDTByoyP`T%)i$4rXWB@mAFPH7_4LH#+|JJ2<V1Qpzn-^~#YI^4rj!_t6++cutp8mA
zg6la!e8|9D#T@a!D0w<%1%1<56C?(Ik&jd=MfU)G2Q7r)iNpjon%!sbfhjmep`V_e
z<-%0^HEBB%SuY*BGZZ|0;>7Xe3;D1e3{6bj5RRC+yV3JfCZGCCzm4e}-c0Ayh<;4o
zJ!c}}8zv?~K|7pZz@}0s4hKVb9)fBevD2@$!{O8)`^{S(FQp9|>wOThgiOqeOn^O6
zNAx|kw1J*L+yJ8Mpk6Eg+kaym?p=2=g!jR8`oWQj-`>KfciqL352Bch>yF(UZE2QO
z_9QFApUf#DIsPgUOfT7{5AbD+?0`AIn*NV#3T3T<4IXW|hOM=!@Q`uk$YYhkNK5LT
z{<f~O!TaH2BBI5M+J^BVY#e#MVbkib$+S3Dk;Vae-1f8u^yT`X2Ydlt?^(Bj?&Sk-
z!z|bQ2d?N#VHgeKP;r?2%e`ftFHsB5GK`og=ZkEk=o8B1$j3+yMm=YJq-{R&)VBdK
z=4|PZ<<fuaP(mkhb(ItyoAad8o4MR3G0tYp{MHr&;D_(?<yD8uC5E#xY)zeXIm5{*
zrI%M(9CHdaqFPjrr1ueb1@zwgeEF)rhv8J*5}MB34IZC&WhHjipOs$2eN=i9QUW02
zuU_yXqkV$?E~Ap4c4?Lu^OI%t|MJ{i9`Vdf10KQFUSm#wTM90iqZu$gD$%#BI4GAF
z_#&gNOUYE9N{PORU-Szmu)&-mReV_hGU0;k@##_&C(2%C^t$5|rh$xvhTT>t71C1y
z5zt56z=L%$Py)3W2<DVv*aw(~qmH>s81c~bCdOA**49>5#wWZpaJB<b+ywlIs~WXh
zu}~=1Y7OtqQA@P9y_3t!6Zp5he9}Af(ph?ETmHmVyM@Bs+~VTgTmk>wGe^-=5CVQd
z>;~EaUIZK;EWPX?x{l__xiPqC0$>0JumEME*ai`sB<gS1fAN)S7XPaH+w))e&o}+A
zNIL@0d<`w>4%(sPpkuP`zu;6yJJ1@mqvfyEe?Ihq%l@wowe~^(J7@>(Kf8bjW960+
zEw?q8D?>t!5EbO=CrkuDGCP1hC0F4X+|XEXKen{oiQ+{V^n392+_Je@tBF`?o!a~k
zinli%K7wD!&C@f>Wy_EH8b;#HG_C4E6s^@ZH?gIKRsN36Q}}J;^vL0xcw?EHG?(8z
zm_Dd)i07;fVk|~Y4}`iwxKc}u+G*{;LHPZ7r0`GfBoaHx)JQ)3-FEs4XqSB%$t|Ln
zBUps5f+u}bD~OVY$JOz|DUrtTLy#e)-Q~XoFK|OmaE+So5X*-Y?YVRv1~>Ylv7iQ%
zSbYh)-P^i=-%8I|)=b)>xTgLd|DApdQkM~5O@9|BfRwu*O}_{DspF-U4kza365;e<
zK!@*aBl?Z<pZsJM?0g%w^?+&udl%OlgC38<vmvMH;A?*Lxs1$*9Ao(zjU2z>s!#m3
z=+LGOp1O`v_ggav)uFuz#UKx+=|&9FObe1&cj$PVoaU06T01;Iy652%y4eokhwuX9
zGHcJ%2Y4>!VzK9m0d}}8g*i%t5@DyjDJMQ2oj+*Bo)9}VEMHe!T;m5D)BoN5jS(a9
z-f_X4xJJAztshi2d=k*e(J?s$%;$0~vhHJVAmbiAL_d#W>2!+)j=h0}IWGqE=m=)U
zwOYf~dy*1NToB-JXkJr1EFzatdSxOd=z)UugEPeMM&N~llz&?Zd*!5l4{1YgdngjS
zAr^^P872W``MtE}b$lh8P2r_v@(F!~rRBXL+=gEYEdDs=udWzUIU^^AgPKrs*$-(T
zl<6d{JGnXce0rBy{_=MdIPX@3esXmCw)ynk1m(LQ;5*$iZJ8=#uLAEkxZ}}+6X~x+
zTr?>V79}kdfv6;kqV1$wlM?Ie2+iU&ReGakNMuN+{GC(vQYMROA3b^$TgsbY78au{
zQu`z-V<ot8ARujFL%me|y~*Sc$C4q;mj2VCHMZQXs3;$K+f}V91zFw2dgXdGYNxOW
zIh4)L%p9Y<bR#yci@hz8%_iQC#dqlzf*o{UEcZ2c{g{96EWm|$)^qfr)xgcy);<L7
z6`iPjh}aK;%Zcj*T8aX<K3XYRd;Iao(aO+fIOQH4Q=bxx)<In5b1<ie0ISDSVfT28
z0z-fI&RtK3a$+@QfE@aYT~=h`Y6Kl8$N>n~jYl7hN9@eij2($T7>$d+$xnJYp*qp+
zM272!GKuZzh;|%ILy%%h)LXSVaEki!!}zA?-e!zO`e$p0vzL?Pc5#-sIA$72I~D=z
zi$RZVDnSg|Gx_#)b##7{y=?_R$ZvLG%jgEa3;d=C=kF@)GexXU^1K6_gg#YEWGw&n
zNv7dI@+QxBKwjm)<^=TBxau(7sj-cXi|(@1Wvm7KK1G<F9X)<uv0h(xpI_YA7<23~
z*{ewN8A5Ig@~~E834ut$&9I1B&wP)W7}R;Z)M)7$`^`Oy&3W|u4$$rm$|MMf6J=Ah
z4Z6Eky79G}kWn=iB*yD4Mg|b@_ji4pBb12W!CYTKEd9KrSlXChaCfxMrl(_3Y-SwL
zZvJ{@TTix4l_MFPbkc-{CT+7Yzu~lcWukH-n;j6J#pM<4O^bL<I`Jpw3+T_0!0EtG
zp-(DjdCqOcW@3^oPV+}`Fy@9sMheSyYY}X!z#-?r;}3%u0Sysj5R^Ak6PBd9v4Q76
z87;?a-sc4NJ@@L6yRb}B`q&aJvQlZB428pxN)wSyTI@KWSUu)aL#zM=6^&0}0%ua0
zXfza^pKD~WJ1LW?SynO}Mq-B~b`wK7wN#`Mw{h15<CDRODU=RI>-9z?k+hSMNHCm8
zq{6XSxSW8Ph|iG1uhi%A9e$f__z~Vk6S})SQg$|>n}usX7>$K&JDw~R$ByJPb|@U=
z=A9<Y^}u0dkHaVNee84wOQMCK5@Qz<#bV_Mmi;1|9QOE3a@}wc=LVKIo4D5(-1`}k
zrx!_{31VR1Fs=<>>AH}8m^OrWpi%@pYC|rVGfeNBu!8n0PHM-no?klXINIDR=XmlJ
zb`Xhwk@@%j`^~@Ldwl;f9h0gvG+Kd!kj~A=_zvHF@<~^AroMO^bJ;rnINEwWdb0QG
z;GPYTvI2R4Q;fI-P}yxXq^gZ^t<X+ux_Y-ONrE}XJF*tlMJU+?x;NA*w;tyv-yv@9
zc3mvs{0ec*VB`H6L?XTv){Ohmw}VCwGY!*;-cy`Ou6;jk@Q+blVxu@(IO8nDur)<E
ztUFg{-DT$|;JG4p9y%4RRP4h?4<qew^wc4}Sv=uVj8m<{_Sl$xxOM7<larH)?04Jv
zmu}-cn=tQnSI56!`})zcRetIz{Crfe-_JGgtm&gqar>>OKKj>3kG7`puXPkYMU~N@
zV)YQyG(Vu4H0E&x88pJ7aRe>qgopJmKtk9>^&Or#Y0)4}cRDIYcF+OehSi-`r=zx`
z!FNu;i{M$thP5zY6|6k#$B_tly@dTff<p=!GYJx1)T=mrHQ?a7s-4Z~_Bx#%ziN2U
zxx;@u1Bsoe$1ZgcKZ?c2{D0sb7@W|CK_6`%bEAPCy)p1+$?WCIJ0ztQz|a+2MZXdP
z3psAE^8qFRum$)eDg{@8V!i{{6cPniF-+(oK!JK|A)sE9fxbu;_33yz9ly*tZIGw9
zGk2<S&_dq3{2um*Y2}``rWod3w6QmEmS#WvvtcQq@19tbZN&>k<PInn%kg-dwX&vp
zb5twn|KU8Z<H%9oem`z8P2D9$JNML7p^sHrEvttXgIZa8wUaYDOG~5RhxKWUOQ2=2
z4EEy>RT5oU?rtCo#oez;%kH0#N}nJO+6ayCs?#aVs!@qdR@L3=*8#t^=P~OWF$>-F
zF0Ki`BK|Fz_xl0Z|3j_89CZO0Z}<NO_bxGIoI=n&eHI7;hGDGk*tIC{HDE=1ao{1u
z88g4!bzxz}Zvz-$;QF_G_sMG`<5LO%mrm<dd+5;BE9bDQSG&)Oh;ap<{&ueKg0}4u
zFuZO|#QgI_N0%wCf6I5D4TkVtDpZ^UQlJh)u-hGm;qI;jMLk>xQa=Cs05}9^;jN&H
ze`ZC^hXaR!kq-oZ03y;NXSG=T%b3+e5`zzXbZ;95FL`2*7txrL`MT(cR^>HpUPW8S
zz-xj@4Z`YtgS2Bf>Av|wI<x9B%t%(Du)3<pY^wjK*P@^Cw6R?G$lwT0%pDREsbuVU
z2@5_J7P#;uo0~L084G7!MsJ<;gRz~B_iw!hIR(LP$N#PC#v$G0=iUgC!_V+@=cni8
zJNVvAxkBFz`Osc?(@f&yDxe3htxsdJ$v^}~l?73g2vu;EhGTSO@f<1VfY%_@VS`!~
zS&s|>DYU&PMnsBrxI~gU-y7x&sl7msxbnzqCjG4No)OW725yQlI3AkJ<y<J2j&pMi
zZmeOOpNwbQeh{CuT;VAjjzxU1-b;A}*8N{#-P|}=kD+igRw>W8AfBH-&#&-n1hv}R
zV88h=_O5&>@VZPKly1AitmN9W%ZP8_|Dq?00;Rcq1?I#}NCHeP;#tjI*@yCiIaNfq
zYwXyhDNn|8NCXA%=By-6dF9O5;$h^cwhtvN7^I5*ze2>kqOo%@ALRYyQk@|l)9G{t
zq4U8+dJgIpqd&3}(`$>X<430>wY3C4^g)2nM;+XL{wey|)qbjvT>7EG4>a8&Fhw@D
z(0N9V%i-6|DrE>R`ag0-I>eB(n_<Qzk}6|<i~XE^Zryyvo^BfEx)R&`A@I!o>zVhE
z9>?TX`N$sQJ3#N6<q<pWn%vF9IwbucbuHkq&G^1IVkN#8mObPbkagZ5vaYe;_dTY(
zb3fSsQT?EKc<@0CB<w+fD#o#mynCb8t$TKlp^SQ<H*UTAJ93Q%4S#P$Muda1{C&gw
z;Qo$W1LA_K(B*ot{cztTdbE@$D1{3`Z2>XEjPsEu&OVJvB9;zFpPU0fX%(UbC7Ou;
zs_S29dNI#U??cw&oDJfT3<mA>?D+Uha%OxyyKV=AkeHM9+#-lk6k(n;gk<#qb;F;)
zr(;K=51&fleb#f&csi3wkKY4oZ?lq94@Xry#=8R!k4|&%c=nlVdM}CYwgCdH<hlUm
z$?L(h_j{<n+y2HaX^W@b9-dB>%i}W>rE=;_#OWadtEF#y*5qD=_N4gu=c{htURee&
zOO;>g_HFggwL}N~38Fu`H*yPWV&5c`Ra76*k93qolm|m%W?W@fVwl3%s)e~p57xj%
zq~QbNR{%l`#TTp{9JgRzV_U`7MMJ^x*|XS1Ao{wZWk;j;+!F<>-*X?ga6kH6qw;<4
zdKvn>GxN*7`l8qKooBo}<ldQ=SkOD;yn_wuouJo?z=nu@9F&;<lPyae5xKUQ`M_V)
ztXJQ~*5Ytg>yGp<I~#?~ES-JciQ`y-vV?7<lCe09-?D$X?m=$d7>mbY_QHyo6H7~#
z2=<yHc~Re)@QQIrd`*16rm5Bxu^e}>D8k$`W5}$4#*v}WP8qSQ5~bKvtZ;+R^`2)T
zho@!W?d<~js#=@}=<5R=KCq>VyU7U8?xB6Xz*yji1+yqOYU5n43z#(R4L2cpWfdF7
zQhXY0@}+($fYT>bflLUCb0%8@J#d3x7aKrPN9ZC_E+UVPCxWrRKv_6nO@Llq><;!G
z?6yURsnAyJK2e(3o+z6ZX+A8dP_(U<_Oq1<23yJu&MmCdG_k%QNup6K7|gh(EGXwF
z23mtkL#Q0z2=QAFNp;AQ$c1piQ&4-}*%f4=YFW-V&($LTl@R=|k=i+@oMlxPbhek^
z+LUqv+g*G`<2c;7KF8M~W@E<(0*eO#f#DYSopfJpN!Rr7i20mD?=Q8_>tXqPYVfjO
zBc3mJaJ12AADTDoyt9@$DB7q!iWIm$KWusjTD^ijGU=b791Us>c-S~43zDfyG<2?I
zvhrHuPa!z5IE5;~LBUSBQejfWa#$M)a<H%lg?|kltk-*fwsl(}94{T4nv&hsjxH>e
zVufNdGcjJ1guRH4`eDnmLaAiFl1>FH;e4(VHs<B=@I3A91O2HmjxAZnZ;72#q<jIS
zC?8MziCDQ9$uBLPlvK3X!J(Lp6(*4v0LeAyr>0W3#p7|tOe0t6BW3vL<F91k*+658
zTo_BIoe*Zy7tgozkihPGeLE^?sx31@*%YAj<Q)yE_kn3R0P*;<`FtGZCLN3oJAd+_
zH!4uJx1Hl?FHlvdl5@zW{l1{-xuJ(uCtk{W7v@<Et0C_Qyc!ZK6=hlYr+J&?v?eLL
zh)&f1RMMtIPAIT|q7O~)NE=BMad-i(ymjU!6TyKFKv7M8;OzQqcdb8r?Q37Ve%9JW
zmUrq8QQdq#O6?*WJybE(b>vTo$B{*0y}w&I6gAy=9R9paB3`Yw+NKTtqzd~)TO!Vr
ziClIE8x$oa^t^3m3x(x$dbv=THIE?I8a>vR;eF0Je8r(Hhp^hs<!i$>V<0@@k`SZK
z4q-Zh?jnUZjPAqS2Xh662G2}9IP3R*692+XhZ_D#Yy=dXe)Q2t0e;za=}{8k(JtVp
z@4N553Co(e&q8$G-FM&Z_&UGuZiZPwp85aa=MR}LAinJd%&H@KtAKzU0*z-N=rLby
zW<dl|th)%R_ven!(GZRyBckp(4rlt1AfB)9?(UYceiVxk5u1cHqvhRH>R~|MnALnZ
zS~0y!G@OV3t+muzZ7p>aH}%*2A_gZhHfBW`z!9~^#uDvF<WIkdmC0r9F<VYo%@>gl
z0{^;-nEH!;QV#uds{_1ji9S5XeFB6n5(9~coOJ-cgK4^qML2<Ii#jaWO#m!$0glLE
zS&TY>f$YSihD_VEl1XM1HJQ`nCRm84;IoUi>`2&(C&P$(D$M+J+76|Dx{&%Ht=F1v
zwEwkavgc-Vz>?p5KKs6m>4xsNvst^;I6k$!P{>2L3ua9)WS>7=E{-3auO!cgu#ES{
zX!>+WOWq&qzh?>y&9UfV>hZNmWbJWun?4P6zJoYA?q#xxh@sAaHX#im`s|1~HR5Nk
zhLp`rXH~OF_GP3odBqw{EU<yUSj>eTeK2d+)W?BBDqe`h>%1nK3_+uzP$j^v4s@6N
z7dRJ=+Vhy@GXX~;Y8jk87KVef70Koh5f+Of9ds*?h}Fe{sphTaEY>aKKcrr^@|kEN
zTd*V9d?*)-WZ{<wOw&jkov2@Asgv+|45p7?<Z`oZttN~~?C{-UF&l~Hc1~f*&XHTN
zsM^Zst?)c#&O{=MufW+GHEfU-iqJujOq=33%Y^b^>h^%IPeZD_J<tw39QdKY2LNaB
z4v~m49f8CTaVCN95#bQ}ol~Mu4ya1JvVyQkpM0ilK%dz|2~}h=LGA;S5en!kQivac
z)aZzMYD*gtpxkMFVY*eAE=+tuLO3u@D3>}1v&-zuOea5xa@_S#!?w;U{dL~c=R>p3
zbVy65Z@zf~AEI#7?qkR$UeZ@{b+9{M0Cltutoq=OD*VN7*8u!4LAQP__SEH`9TCwj
zln(nN*f|)Sx=tKW<ykY1>@CrNsfd$6oqQw~drLI;l@LBc)*}3c3`*BH;ZA=y>r18q
zlQ~I<{P+@QTsh$WP|6UnA=W1~Z^;rWTuKIH)8(avl4<q6Pa?X*{r--7k}<x!zOtT9
z|C^8#Zxd=lc^N3(!0v@EYZj{nX#?*rs_;id9kOI7>vJp^V6oLIOo#I8h*c%*qnD&!
zzEqf*nV+ATDJ+S}BAJXjszB9r=CN}}VP1dxJ>Z-oW3R>+qo4`rG!^|hX!T;OsP(i&
z8}t!;f&TTM#afaDM0dZMIz4uVr%tLZ2cDqS_J~^>oP7Mh!V>s%;)=zmMdIn$W==MB
zNmEm+QbP`)g7}M}TYnjk#mC0S#*pkvkMBrZ!9t;2&ZL8u9A_uz>vOeoxi(jypA4r{
z#a!-krE(c`B$W=ER~CX+I#Vte3RX~#+hf@A1pIOw$9NJ)^Xl5<6xKcGYI4kFYp)p}
z<1((;xO@DqTN{fRX2!}aHg3fUY7Uhnk#Y!M!_7A(D`Vs1(68O&%VJZLwHjhh<e1BX
z7&0d4m!QY~D)#?a3LGbfaMWG+5Hci#f+5uMn+#0lilIgU;*exz`I}O?S3pomqR=Zl
zXT@IW-^sr!{Nr8o*=Y1aG@C8`_fj^Cv*-n;$JdJ+&dR_3`>>k-^QS&9^x<<>3v1RB
z@IBrdxD%F}`<egQfSpknA)9CR=Q%b_0?R1~$kKE{Tx!dt+pCap<V?zi(P}1~DUmC>
z)l?wY(r;voeMj!HcTx^|xT(MJg)hA0ju!@lKV@0%Im^`A<;olXS-H}#8f&f%m1eG8
zEb>9%PW<~@w{+poJHHVO^34Zszy0<*!{&X{)6>-|7}PQno}2m1;`i3GhvV_%$K&zC
znfdQs%*>l@{6wR8^d_v$ySsYN(#*`v?Cgv&zXOS|+MfR%SX6NRQ7kgOuX=CTl5zVY
z#*KTQ+!J_IW_B4PH;{sK)BqBW9vIkQj)3}+>u{7EU&26pCIB%vNO4us!@C&s1qi~f
zX9sVI?11_trrdA30G1$fzxnT{PoA7^Or}$bU?p0<D-$%S>BV?17te8i)2Nw$28K*~
zJWV@7+ki(SxVi;iEvu-)W1t$z{*M7@DHF`xRgPAIVB(W&2+SIAK3W|zC(Ms61E^=Q
zO;kK{xfmP^Wizqt4NOiw1#%L>{^-f6-zN=Ps!Z~YYBmx{AVRwp58Ih4s*52d5Lz+|
z?jFr%!j(|zt_*fm&fFPw(pZD`u#r<0tR;a@4E8X<yo<c#w*l(k4X6WOY64=)3Ag~b
zd}d&oM#Dy-8W4{B-!&3JE5bXK{Q<Zm_OW<3))AS-iD>zg<>)Kw^?H1KZ1$70W8?8U
zw)b$LBde^)=&{YmWj}{@QvxYDHP7e2B61~d-GBf6SQm?Bu@qv9JC66#^<u8>Ao-qs
zufC<fgxuiTflE(t@pjDC*9X2IaM4u>B}9tqj_rbfpt<P0!~qe%){%{M_*%R<in$HG
zDcAM7CZ4OHI1scsLbeL;m#xS)rYjXcXk`7L1DblgQlXi-Gx^C+0-6*3uL7(?5y`T0
zWYA5?301Xnxv6VF>Heu)&f*6;rbys+{ea^A!L`^{dk_G6qJsi)xYxXd(hnUKJPIs|
zK_>y6y~jm3k-qfA6Hi2}()cCYD%GAJM#z?a>LVp9{QO$UvM-I7tjH7LXf$j-`{56N
z7(pl2CH~wK!H?6ls#S_b?!k|Ji9a8X=-M9m1lZ0J?66o-&TR=O5p%Mu;zf39Z!}di
z)7!kY(PY{^9EKiYud3F$SG?j}3r0abHmeo)v{JqG)vvy_|Gj$j?wf6YxThPY_wGdg
z0r&iYd}7R)v3Kerk$<WC0RGef*c|%sH2P2jk2??D`BlKu9}${Kslba)qhid?@yMR!
zoCq~VK#`jeDaM|%^NuJf@vz6&REShTb4b)AAL2`EfCL@7d`J@Oo;j6yQE;-o;i_1j
zC1UI<gh_XI9SC<K|52&VX4`n;3XYx}n$2!u>i{XHH|3p<Xb(Wb9m@CegG|Sr&Mq_F
zvU(}Ix|K0oTz#=Bf@n)>&vY^n*_p$?z0GP-mOt`|R!ewMZxD;e9cm&zS>CnVx&&_!
zhX+o~>0I`6Et~QfX@#(E@a2I{I2?obID!>tAsa=oGjh2YT8%)csnvL6HB>A|fw1VK
zFHbT_mcX+A49qI`uoL&(T?|FbU2L8GidWz|+bu^!#XWtw^*Z}Pslw&FJ`O3ewD8b_
z`f=Yp{$X3~__1S&Tp{B>Ke!M7>m>ehH}3Q23z<aDe=a=A8;i5o9Tj;E4EL`Z2HqYp
zB5%HM;X+k2VON)RanA*H5iBns+?A)1IJ?T%BxmL()<8Z8rvl#Fbot5vubPkruM@NO
za|3s!2AC!^7|J=&Z$w%;s6V{{t;UpjG8(>&xS2R&9&uP@h<Iu>d<`^nw^vu1U$r|?
zBod59x1!O~tsqA(P3nLqF;4b4DC_eBuM~;mdgczutxG>-+3EooPBB-~bL2A+AhH^9
zkR33XT~Dzbbr!M5(qs0REWjjHu__gzHu7`uU<<uq84waBV}p~6j3vGtjSA7j)Qv_j
zU)CbB_Xp{>3#)U1%ZNz4K1=}raSSX}5J7*P#0MZOh@=rg4D^Pyp0s>Tq-Ti7j)JVE
zefHgeOF|h2Y=PNB97x3?i87-1vBEtPOMNH25cYhH{j1H}@wH@vr%Z_q1c)CDn!iBC
zWbW>kizHLARH-~MQ7+*m8JP{oJMnPPt_wx4+rfG)o*y62Ls?8B_CA(Os9fs7=j?&&
zp7&8;clpP@fFY1GK!meI`Pp3K07T&|X)BWR@V6`Yht&+Q#f5?g_trHdxo^H6+D>c6
zGKmKh1~xj%*<OD(!LP4xw1W_%T<R-x9De>Lx+1Yu&rXZK3#!*F*CwvQQ^d80lscSK
zeQ=E){W)LeOL!A6<#Ka)**Vn*fdIrQXPsUG>(fsoXVXhz!w6tO;$ovIu7nEK1i<nN
z=N)ynMcBDHS7Gf2mjtJ5ZZsMg86q*t;~9HQ@edjJP=fjg?Y0%s&4}$TCO6C*R?nSV
zJv}x(J$Cxula_Tdl`WRf-+S-*axt6Ybvox=A3c5gbUJ;yZp<7{<t4uU2e`n^Iv$?z
zyXNY1D0w=SI(<-u?gxfyGl{`x>a2Otz;(ZCk+hO=2-Gh=gLR(+dk>^ESG*)$!=KY(
znY?(acPV}n41XR(zR(*M7maJYH;W55rXsrJ=Z+KDrF3rY^r?#%Po18dLw?Q^T$L3v
zUH%r1pE&O(Z$5wGctL|OBcbv0H{Gq}_1(K~IzJx5SERk4vn=y#jGHiJJ4l&Q<r=h;
z3Lj<`##mjeaM(lZHvc_qwSuX1`pp-z#exYv1#*%6Z6tflnqEF@KAV7@5KEdO$Dfyh
z*#448=u^=6qMulf6$)_^h=B^g);GYfQ!;0$wgV9K4v7gBO(2>mfB+smqa#ISbRr)A
z;NC;J9K6H?uYz%6NO?Xi57f}D^6PWqNMhE@XMJ`Ru{Y7E6-=Cau^$}k$Bx!NQMT-h
zoE100h4ekBA`uDaUXMfv(D`RKB(XLjYifKQHi760Fv%N-VzIt%l^=}T7dfMDdO21B
z6Bl+d54+;?b_m$OsIG!FU0bwMGU^eD?KDtFVz9)r;a)qT6jayM8RoNP3_Ww}3xL?U
zYH@aVZy@U4>yZWAeW5@rx3~Qg#?F<Ys~!K<6<*0as5*V8oz4mLR9k{B>u0CAv!8dx
zrgKy|4SKECt|O0V?G%b}qw1!iarM=HSBufFpl59+!C^6>VOKE>SD+0t!^T?!j|D!B
zC_s1Z1kj1G*Wjg8S~WHk4Pcxj)E@ed*Y-<i&dL>cq}UBjYv8=1CWC{j#%f?#XJxeA
z8i32V<@@M?HE>LuOpwals^8Gwe#5<P;<}?i(%+u{qI%FPZj}!3w9-p%rN|CQJHTD;
z^_TVf%T*ka2^QfV`Vs&6;Il(jGSBS(vUqQGP#$%*{1y4neRJtFxX^}J$cZc<3)s-s
z2IBBc2?TkHODePsh>638jHHpEos32{^YY0hIpTV0^5t-3JNMmdJm2--j6{x2c%>$e
zMI!F&a^wvuBJ@q?{`i414%=1>M@0XeYcTzo?v%`)@Y%`rhG>^MCCbp+ygijY8E0@t
zFBnzHvD|ljM{dlOPI<heFy&rO74Bdex$KJK*>fMMPqV|z^wDFPK`|5$1y>4QF3JML
zCif-Ma@yt9rdAEKBtIUhIWSrR7A0Xd$a7@_tOU#i_}+jZa9qNrby2cASQHgFPz?Zp
zjuO{+L5kq04d%Cz^asmVgSn%&eKZF@OfY*iVoc=d4>DB2np?Ph=8R>XIdhrEWH1)n
zdI$5-h=AT$JRPNs8#O-y+0V9DazQNg%&l;nSe&D-+<Gh)OuDc0xKInS;;p-w8%N(h
zz1WcYhWoybalQ|@iN2G7z%T&9OoR3!A{!_)p%=o{01J>E3PmUbjs|qKq5aUhBUGrN
zxa{UY)3o1YaKaf;4>F&92$|WzVXb^+Vxp3_B6jq)$<U3q6%0;RSDTS&G}2tHP6mUP
zePd|yLtf%0?+jTrR#TxuBzr?PQV6A1FJtL1HUqvj61f$d`-Ts#FJfol==nzBXgGYd
z&^V8aP~+sGC(S{@U$@3$^+a})E}qS7q7LB15V^E#o-sRtI&#L}9QY1+N4_`kZg{Xi
z0xC=#!MG}yFB4t@Em)vr+<6VCaM+0kqW2)_(a`mNUufkym*Bco-zP8#h@Tt!%3`Hb
zNf%~syx}D;x#7myLb{S3yQ5@ozulDX7)wV+>6}BJQ`onvL^}K&bUzEzm{SC4G_HEP
zIs87>A5K>0t2N82Rp%>{OQi^GNX^N~W;r?;DbW_>RNnSZx7~XOd0MkxSzqIPcQJO%
zceV@O*$w2tJ<lV<{>wZ*UIM44Xt=RfVXT4ALm+N9z>q;4#8}sLsX`96Gjq}<srVxG
z&_O22?>c}2ct9Hrp@siDIG-$qqv47B{?Cbs9WG5eH}AU-CsMN7YKa`6?~(qwQ2=Mw
zSL#bQFg)porTWVH8PtWBu+g!eAS{c{KJ-&)m+0%+Kn*b#o;N_lDi-T&u6w|};mbU&
z@nn9(HxYV$AWziV_#QjcbB?a9#n}fMcezWnHVW-0&vxC+a_r&;o>sXV^vzoAX6_bU
z)%&Wa={Oz2PAeBN$6kfKR@@8_y6bNa^JlP*S%!_W2cs7dsZas<m9nVqH)1yj78jCW
z{{{FfEu@<G3QxR?Ho1ky`3Y0mp-o%cNXpxCc4XZyTflCytqlF(CX&tqnV*qg-+9|*
zG)`I|Br<TbPB`gnR>!uswrFCOAED5!NhZYT6AZhI`<EqdYYwqX(AqI>puiGIAW|Xa
zK|du1$)=A0#Ws+EhE$zY9)F<Vyj#I7TslQgUbyhW7hbq<5(|*wBERuPFS_^M7rp34
zddm?`7r*O9=nwGL#o;&tBUoLGBfuFJl*Em9wfw;fe}7_XdV1;vyyB@;>`bj{Otp3<
z25uCOty>$2aFz#}cTaAknhmS#k6U10<K)kR<Kv*i+-GV#@Xo;dL4`jb_<i7tGFy#i
zaV_BNdyTY_s3OLvffrEb{r=pTFo*9IZJhuipROXhPIG@rES&?xA80cC==GHv@zwvI
zyf+V%?5ger<G#p<7yG{Co)H<jZxva&MAoWMEm8>~DUr|y0uoCqWDA=Vix37(urvr`
zn*wYP*cPN)#zrvaE8EzBZA^mOKzkWiyWP{qy*S<8fCfG>9vgSh5H-KwIq$}j6<I17
zzUe=#QoguvyYDXNp8cHLVu(}?Pk6lSE5Ub9*N^w(tsrlG=`B6-4%e;s)7XEnbzX0k
z@aVzyU7?8)7OT#8v;zL@bk^0tz1DfxS9T7(!}@x^(^Z?mek*@9bE}*M1ORf2#*?6{
z%d2EDz_Jh_hz>x39bgc2C5tr+%Da@^_MZ10S*u^rx!FBhb!y^$<`w_=kN;>6h2o)b
z&J<>|^}1|q-<huZMw3m3*Kf)a*?F1xv&q`4n-6~e^PdmgR0}1u8H2sN2jR5m6a4{3
zmUgnk=mFG8Dzde`+f<-qM`$Rc?^~7>iJs$Fui1CFuB6?-xLHYe3tLq@mJ6E!>~D=d
zuJcYjk^RSPBJSkP$H6akj&K6mu+l%&{N*gApscxr<J#6~3_{+#njikO2HUMe-PZ;5
zP`wCV0ngmqAOFZesWgzr<}K4JD>IXmGb=08P&cG_wOFhl#G8E)3=EVK`ux-s-!B&V
z4%#fR;KMjp=ySz9`xr6eHsRYXDimK95s}AT!{|kse&8++CjB;W4g{h4BAl7K&YwRo
z(G>t~^3MpNI6pEnHZwEY{LA7{ER`+H%$55eTYO!gI}yN-c@i)1DLe}xmsie@&diLB
zj5PnezdScn$fjaL#n&x97MO7R@FU}0g4}V+d=5Mca=$?;By&udog#R;MHf6KaWr58
z$2NS3hN-r?wz_8Sm>>9g#`<6oli!#$ugbpq)vsQnGYf)J;sISy7Z@7wJa^)MCevv+
z*P7_Bj2wDs5Si%wW2Gf1(V|gH>fqlGR~zVkgnt5bVqA%HZ}$CnlUFFUp`U6er;VJW
zy@GM?eFqyDb@CVX1=nqRVQ@K8ShC8o)s^a66`?%*kDdvnYWD0fmjM2ePeFz#T-LkQ
z<%90nH*+ghk*fKw_&QKK=#fE>A#C9ZKte#Ht=KZoNayePwDw4yP}lD2@9z)7D;_TK
z!G0(u`x^T%Jk)i&|95mDk~4^>^65|j9_Xeo6hxo~@)f0W`DCaMmjbTa`$`~`&ZlG9
z3>iw2VGniIO+B8f<e57OdAf2io_W84U|~Fk2Nh44-<+G9i$whz1mKTG=7PZ<SN1>A
zP*{@u!#9SoTV$|LvMvSD<{)>E45H1!?lUwW9phbycj)bYcbDpa3iwlfet%!ezyCLI
zr+)8F4=*W?I3|9TZOE}S-|D{@1(BBMHHe~|USd!2UW4LFAr%YD14wV!m{rJJ(62SO
zVRmor=@q&@l88t0p-9x7Mn;V2ZOjyCac%QrCyQt{n|ru<CKkRWV#4{52_1?>Ul@)(
zAN7J)<2pZywUmG_<sqzeIKz2zV-f2b0vm<r!w?i9b9exUJj>!UhGwr|GuEUR!k7Gu
z=F`s6BQHogPefwJZ#%udj*S4EL@ItF8u`#SFa5<|{6*5ym_IlUyy*H<iPSfrh(+hY
zd6m}JPp6#ZT^r%>hZNV_F(n0khA|DSbH6lMAEHSY<w!fzDVj}{zyTx5&BTcizyAo2
z+j?@ZoPbVwBfoDr?-mRi{(+<3=3>~C48;cdUNpXLxDVxmVEh7bgR0rv>em%;vtZ_g
zaH>{KQKtHNSv7@nz;vwxRW%K}MaFKcAkhcA)*c~+W}_WQ)-FMDh21FZd;D$Kx9sl$
zv1OpSt^QOo4?$5J5yNSViF+#QyAGZbqN)<yY0<$#fbDJ_4KBO8?RK?GSMH11yFmew
zn;Vdu&m!vOb-o7l9X@2WXM30rjf;rvh@QJRBWAQ1S*a-%LiP&VPn#Kfk)?T1bx4q|
zTb2>%%b7@l9pl4-)>o=Zpo=wl`Qfv4D+k<}4a!M_<3BYNib-*yFqBN$VLx1fqADJ`
zGr#C`&PFc#ec^27eGtyE5k<HZ2#)3GikBOc-%Rs2ufP8KAb2@@+3)m29hDr1IpZc%
zdil#=zI@#5(8;1c72(g=T3@UBu~Iem?wQGxwh8<V{(8zZpFVc%ST-EX9dCaLUmVWW
z2k1Ji-(E(%gsH+K@WI9%!hZz?Pn3Wso{y|6ul4<??+M>WG5QMO^yg~}Gb++_3pTXK
zbSg8b+h6lCa#84627kjp4l%VBs;H;gg6xtAOCH+f9OvD(Gm5fP2)nrQl3!Pu!mBBr
zKYqef2LK)7{}K+n-Y?Hpk8$Go`5l}{gxy6r>gwg~9sTtl;;VQ_kHCOCl!kfOCCW~f
zaIcP=e93#Xl~M<{SU+!<QpD3c>iy1(4g78KJs_gC#L-zcb$*F|DrfHj-!MM*sOXRs
zS@+OP5RCx5J2m;VJSzXdF$d#8Jb$&ve4>ZgZ7B^z7W`5nk;)|F!wXhdzc3t6W>SfQ
zbw|6v*oLb<wAHGyRkx{cqm%Je2B8JkY%rEdA+e)mDPi3jnQ@heJUW6I*@15~fY|dz
z?aYKhT_hEhgf?Xw1*d5?8bq3SJQ(yj#3aIldwiJIvf@oHrmVqU=uB}5?wAr6oOc0Y
zGN%@g;kYAuwPr)lK+|z|$GgRMu;l<Mux`4V@NQ4<i;BzF2R!(jLbDgJ&)f~n#)_z4
z_C;o1`14?;OoA;}sGq`moAwKSM7#$kTyY#OA}-7$>wp48$k7Q>*-#>RE+C4kWPyoV
zeNJI%JY{|sJ8<{Sy4mbNb1x9cs@E1;n#~1PVJ;{@`O^`yYc@MA`G4wU78r)Lz;G{H
zGRQ3GjAG8SALvgcN8m~XYzEoOBweS_JlFYt*XDS}x340p5@d_IM;)WnupLmps&wIS
zQ3X}2UYi0Bqp_+g-w;os<oSw#HejfV7y{Do3I|Tt5QY!&AzVNhJ`7wxkw0uDtASh=
zx;maU_p(U%3FBbaokd>H+{d8LmAv4RLA<z|tSr61vtMSjYs_{z0&eqLkVsiFnUQ3o
z{{va9fb$}7(p8=n7SE45O<(7$T^rM5D8#<E3w<-?C1lI;%tLJ<6#b=P$P6PDc<j$&
z_}}|ApXfM|i(W2`Q>cp?QRIVb<&IVSZ&#Eks0oSGI|(x*OfH6sJNIH70k3Ni%)H@+
z12~3Ma1eeKB!e>4T##IRazt6}8tcMX5sr7UqPUa<A1q}0{P70|2S!KIxm<d%JUH-R
z+~1d3kl<j_%Utf|mwoT6%*|Eu*}||!7DeMzxy8fFV_|I0I<|axAwLDFlPOc;!-Z_V
zGB;nzWR15#ORTApgoA0~z9cqI%9`YT5O3XNgE*=5Tkzs^-H8{z@DB!z(+@=G!kr<`
z&qR_4E=AljvJLwU0+CrgKjUT+F*wi-#A4RpiE{08eLsMBMC_A;yrJW={5S-(ymHpK
z5b2e{E5uwX>j77ZiH}Q`^Qk$Mboi>v<9M2hQE@J_p+<u>;f<9tyI_IHKNm46V2WT*
z+zSVdJ5WreBNO?&|D*{YhqN?ZhJid3H*ce|DO-lME_OU@PWtotiAXwC9DoWVyn*nJ
zp$PUib|Qmu$a3>*Yx597?}2%-RINAQ5midn%|#OkVe6g2ii^mkLLwMMQi_=0c`0(8
zEueCIWC2;vUJ3<*DGUaKi2`Dt+{)mPap1gu$qWPn0|vF?#RR^w1tzMoTcR$qQ7Q?J
z+!G!2^AK719^Wqj@)ZLxnZ9z0<Q&uin|ZZX)OVoPi$fH(mI!U+J}9*9;~EclagD1r
zwLG_(Mu0Tx_duBd&J|GU!NnNCBu7)<x0oGz5MaGUZwvnoeq?${?&lqACzUE71Hz$1
zta#lgk$shX<Z#=BOrn%*ew_gwmdY}W<8)+vylNT4>iBr%v}eW93YDiEy?v26-AnZO
zNGFr&nR2->vX7rU&j;|5J2RLw&9A~AnVjVsNt*p$fBJevrPwQoMp+zz$=He{BO{BH
zT=ly+5?_hk2>6Pziic&#QjA;+)uI4(Ht3PEh(t7`RH`ncWX)l&xXRve*$6)IhMdFB
z`%)pUd6>qPE4YVke7md!!keIdPBbtyH57<CXd=5(zb|isg~O#(3<={y;b?LE?1K-U
z9WO?a(%HmgsnX#>&?zkT%l6cxC$_dujw1haUtj-Xcj%)Kf2tld+#g>OfB&xq3wbA;
z3Pt0&R5a=)!tfBth7&F#n{)AKC>3_{g<v>_-Jk>E5VfVDFczB=3yYqVvhxRgW#+5G
znnquBd^l26DC&p>J><;Y6V#T@D_j_QhhR<?onx|&aS|tKDG9^m{`Dt5@d-C@_e3(f
z>?RYTIVUy#P{92Jsf5YB?QL%hIQ?!S>CUdW$yBi91Rn15hfTS>S}B)+>;_8Z%4)f6
zLiwkjdMe;LrNJMHoA{mnQR4<b5{>>%-yy1P?s#RwB%T{E{e!{vsp&`{65*>66sD)v
zg9H756~|}yz8vIE<w}hpPk<WjlSzw0U1atxRFJ2!;)4zTP&QB(JlQ|+Kby(q;Na-!
z;9wH}+0upUW@cmqZ*IkHW@fJAGT>@ZXtrl2weLNt;g@68L#Oy6^BtW!RE<@--_o;+
zw-)w<hn+%xmvg{kZ3}u3yo-xTWp@a`oT@@mGgg5<@;|=_MZJ{@<G~bchIGLzuZ_04
z!WL~Ttd^s}AKL5Hbn_lM|7|mZuDrS+8<F!B8HLfcax779UTlw2yVNmPp99bOQp}YS
zam9rMG4i3DHTLJqz!-91!ZpYOr!gFT#u54FsbmobeqTq=F|XzDp+mz=v516Hp;)4V
z{W`FLsc>i|GFDpRCZ?cZNu&&LBB6Gx+a>d9-lE$pD`JJoX#dpI5;rv+WJM`5eZs2^
za%<D2si}TEf(CrK*Dzu@fakWnc%)N^fPdh?xqYUw=rQlA!S-mqa0#seGPk$peR=@F
zQd3jMgy!_K6Iwb(|5#xC6Z3^>z(G%KjQN!o983>PR!=O<>oBxOb}%x(a6+>5OctgA
z7Z=+apLU7k(6;S7j2sNUEY>biksute)P`#d{m><JK>st3kXTUwFP=RGtA(g-MRkik
z$7!4H_G3BO?9WZkuCLFY9drGG2#nw0L&na+j)9?T&$^a4bY?WEZ{@~ZCbmv)J>4sL
zli6iGIoS))O`^I{d_bRv*F3&3yUtO~a9+IRDJW$)s_U~!eGOmGCSCTm$FyA{i~&D7
z+u$h&;lJ=Ru*DyY5o(sQ0{bcQq^d>KHma^srjhCz`fIdNPJwZMx{i5~*ho|ff|)os
z*H+zbuZ42)VBFe?f%^-Ik!eXY1v}C7NTRTK?COYlrnJ*u-0jl#!PvMHXa7WT6j@vF
zDfwh!q`xc(^x&66Mdk06C!G}ia6@>~AV{l=!L&q)tC^fU$TUhE=8A{RHM+GYar4yl
z``!}?fn<Qvf{UpPy46Y*IF{cU#}}bm-Z&VO%L2crH##@fHpcf5f#a5EoHAHD8JJKg
zJ2E<s^hO8L7ePbSo<!zin+kcz3LD6~<=Om1%9K`Q%*P6lm@Kc@@ZkIL|6kx6jL|f`
zNtM!CjD#`mz(`Zm7rzT=-W(~8Em~-fM%;9vxUrA}O>Uv?a$ZUHt%tuGF#dF^2wvO+
zW2ZD6G^2Tt@D^q-=R69J)OQ?f_??R$;fRl!G$~Oj^nz{lN(aC(My3};8}R|}3DM>;
z0nEYxl^la3`#Fsfxjs;^t-Ystp}mOPC2&rJzrp}*^aCUN*_>g$Ua%uuz3l5XYv{Ys
zD98rC2ahJ~QmxrBu!@Kvsq@fMPOP|GT^2d6!sA1=N6Nbh3a!<yLU(>D8m$wl&nP9e
zv{(o!2##KzA#tid+>@;QRwPm<9Z`Y~M<$O93q=P(L4353dQhKw^TTao(Jo1UOTLuz
zTC)whf!OJ1rW&@x;KU%0k+@P$(9$~44@r6u#DRlBL?oq4y+-@vWS=Z^+}bm~#EINY
zBsK}2!nuw2<je1o{pc-63RZ7}eA$Mexy^KXGZF}<HuM@{x>J5Ytm(6rA6kmzo^828
zMo_-~8fAjFszC8pw$Ya|+cFneh~STe;q75@OCL<!dlJ{`%nbYi`e$aU?GnPdTS88|
z)ZFVY&dx0@&COD=YfGIzlFU^$56j%GvX_r#B?u1c_ofU(8IFF+9~228EP7u0>hJjs
z&(^J0p<`pghU!c>%~b+6|C*n=`hy$xLCwF{s#Xf;>`mc@S>cYz{I<#i9`f`SN{g1o
z;&3o}!>07Kx2U?5hB3`#OY3`E(6MXCq8E<VRy*f!yR_vTUb*?cn^z7y(3&;h0PUIi
zr#c&6XII)KQ*WpBZI_xK<eRKQ)ovfH*Y~|AHF*7dhtS$(iNb!?{WC-bR=-Z9pfnSR
zK{)fN+O>A?KVlQkLnIA{4iUAt%h%RLbH|l$YAqhFS3Yf3vT|s4HaJ)Vtts<MsP1Bn
z%k48*jX==wK-;WBWxyWR{vM5FiUan<Cqq~Gh0cwn#W-}?w}V?WeeLNZ)_N!|30s{z
zM5Dc;F9W69Mf~{9h>EtBdi6j7+C^ii(D0H1f_Vpz35rZkGc9a<+4ClaCK-&s_QgxB
z+|>~c@WJ-%O98(Vnu&*NjaoQ9gQ&d#HpT=;j26Qm6kRkvZMayhx^kPNq4Lz^;9w9Q
zUO^MC)xz-3!O7s@q$Vxi(wFVeZl`&p)BlV8eGq#iA@g#Vr|q-pvq~r0XBBYP82iv3
z2=AgytN+TNHSBQ#bljD^@7jlHQ#;C^OK`PrpJ50uDWvGpngjKTYZ=3aK5EC1lVZ!b
zW1Z#oAx~+gpCUZ@N>1Hu`I5dh$@M~LS1)%G_A(-sRR!CL-L2Ez6t?mrGf<{iXdcG3
zHFJsf>SlvS`hL>rEuKwM@_JOj{-_PJtyv7smO*9_+S7Tc^Wh!)Rtl}G<0Y}3Z#5bM
z|NpDno3d#s{};5E<{aU$u6=wj!8)@0Y?}JLf`xxZTesmB@vOjrJbDKl5F?PMAV)!n
zggdp6T=kCV_E#atu6xlz*(*@05WCqMOa&A>08~Ix96vf?Q=k@268r0a1r+Z<C-2K5
zs;8}or-)BfOq9GTNor|h&qdtZk9vEh1vehWHUZ6VGD(wpXY<F+tC~NK3om)K-SO;|
zeEjc`^a&ARmoI-7UX7oF^$@)mE|JQ9u3jK9Si96@qCTy(B5HsI=y9z;7F`-c`ytow
z8X9GN7wH5*YQZOI0iPl>?@poNko#Pp0oM^4WDaf*otRW=klyIV2}cqkDEe1JiAdPF
z=I5T2r{N_qu%$R@Yao;Hv$A*?{+)rTDY$RqqkPQY{S<cC<YTnMv>wA8^f6Ause?vN
z!)M|SL}}2r%04NCaFldIXqDcWS)QW+3OQLWm)m<qlVEyj#(Gc=Ix4YJ8N3!L^(aUQ
zsV!hTn#`EnGm~T{ol$$G`Eh&2Jk|WTxxM*uD4|2<b{?D9h(%1?-Ve;1CB980=v^{5
z+1FbYeslj7lPRLEZ%VzHP||yQODowD4!46wlrUy$ha*4B9IX#`j2OXHM~o{>M~v{K
zBequ4mB*(<e}$Fk-2qJTjn*9uCWop=ZLPujll>iOUAUWl`4c(p+K1}im8EdziZS_<
zD~IWo_B}gpuf!m|l2zi+Y}l)_v)-j*y5C-Fy-K`;Sj=6l?-A(rx;YU~00yJ)QAGo+
z&EcV&3I4Stk3D)8$X39JRckCR!rQl0FR6H<@mbq+G1%kG<B8<yMcnSxotNMPCVQcC
zKq+N&T2!dw0COrJdDB}_PdFo;51A6OeAnCU5fH268ViKmR>8Md?>ev7#f;gyF9pC4
z^R(_dZwCAvLzLsazAfKtfDAp}N}U0@u5=m6c`HbX8-%iX)H^H7O%P$O11R!~Q{q5N
zk%4MB5hKvoN%$>bUr%@cb#~M+>6e1~E5nmJTC!0~JCos8dTXgTJ6qhiaN)wabLXm+
z@vuMg667lly(Hofk5{VAH{Ep8P47APBOO;ONbiE@Y{rC{bo0xKu=HrA(=%FPj@;(n
z8{V*mjOXL&<dX>#e=?aKFBHswegppd@vcjJ2IEJ#0xV$sPIN?15{GkIsnO*Gx9~a~
zASK3G_%8`6!Iax;6~7k>x{gsJQ7CDT&C;1OOP*I`$>Q&>izV>uXU-s=e^+}FJ$2~J
znM0?TXHu)cvHM!{<|zJ~89sAnWE$P@<P+`3&9FjPPrQF-Ph7~zVy%VpZE6iZS=yn>
zHTP(5H?@;W1>7@d+`!JYcT0LT(%(PQ{DTnRZS4{NJ)0xjvmnSTNbB^o=+U#Cqt+A+
z&veYsNx<2Cm>-pL;8F_`#)V0affhM(682i9Y!@ea1JQ*8m-Cv2y^5Sqq?5*~CGry!
zoGTl8_l7i^4ypxyTiPpOS``Mpm3sxqT>+Y<76e9{4G$KX9LLa)8LmgWzIJ{>B4ewP
z)HTJ`1&I(VO?e>Yesq^Tq7zyG=ttE)UJ!p*c;|&7+bkYNd)QQNC{MhejWgV>^9XW*
z>(!AJGMYo7?C8|7>A5XkP~V>{jm>VtWe4~^mPPVf?~iNA2u|2T`{B`Q+K~~q{cVrc
z9JV14UoUWdoH<Jb>=XOn@Xl?zQ#u*zs2-2Qrz0AB<n)WO)XM6`_HCA|dz=V*7qu6N
z1@Rw6EG}Mt_&TwUUD6w%Y$oYFbdlvt+AktJ^H%8BeVX*e<5tyrtyxD__R%gu{Q#_G
zE*Fph^0RQspV9cCPsq@5oJ)0acAB3!yfhxW8C$?7Pyb;mkqiXfQ0h<q_Gt}}if0*)
z7|+T~!awPe>lP};8S4*XvzmN85P}m`G7&f>b0BSPVE;lJ4ekZyLwCY|O5D_Fio9|y
zKQL`SAxN+Jgy_HNNac|nhLzKQ>$rFl3UF*nOVIpHA^k?r5B<VOC6=n{SRw%z?%U_=
zuZ44G9QnNA1=O|scmYsL<f7wcN3aW05aNKyw%U3vt1*8VS*(kS5LUFEZ+iUyxBJAu
zG3Z}&QjxxS?&HH`TGzobDNt*{O*FJv9*^JdM?4=BX-)c}ADW;CWCD>~Q-ORoc*J}p
z?go)DE*k$r3Ub1`ZAz{`#$IrJYb`MH4-L(mEF32TtgI1s;vZ!ltm{`1Ig$AfTqE3n
zeHROC7qCQq*aIz$rb-<$4Gd|*5hda@UH`D*z&BQy4)hXZgb`R5h)QDwm6-w?<#D&l
z+kzKq-Dp@if>A2p4NED)&)mes;5h_D#uKSzbb}u50DdohDvO);ig~{R@K45^5ikl^
z{{jywb=m97=f<~K1*^K*oNoRTUxr%(4k=sk@>A$lj7h*Z>WxVX+&uY-cVJXhbw%k=
zHJcjD<0$|Yd_|er)_N&y%dJT`mr2l#9VXIc(VJP`u8nl)or9sqk!Xg-G8teH41(Dn
zfVu8107Wl2@`4BC*!KOu+;PVpH{2M&rXJW_ATV^pppMW6d%eN%m_#O*3L>3+CP6#b
z$y0}-lem@Y7y5pQsAq?jYK{EqDDuWHf95lvd6ISW8~+tjv`(f>34&s<_jxuJ3x~xF
zw-lXP8yd)@As~TAgU+F09)Rs*6R3e}qa9&@P3^seG)hg#jfuvU1U_JMWwq~h%iQGb
z%nOq6Skj@mE0Rh@?$R>6m6DG>+WbW}U9Wik*+tjP9qC}GU{!oOufk?MJKAyMD};jS
z4}Op#;Cp&$PhZE8Ye!{1AJ)zwcAmKrfU_=IlU~_#V8c-RMX;4_v2EL1voSmBM3?U!
zbG_vh?x8lt86S7E`RL>c+AFHCKWN+Pb#qWk9HfY)f@Pt2b3W>3Z$C$C$JVx&>Ac<{
zyM|;B9nrg#xl2w(JJcgc#%?W0@Kx<Mfxqtfnm!SD9G?}1no?>|nb`^wY<MHwXzpp0
zX6xaWV1(<9)@b8#JKln;7NKe7UQWWNbB&1Zl!zK~P%9i5YqRr=I#yNltKlr|5}maT
z(iFTY_fe6dqUcstsD!c~+8D1*Nb^>g4G}?6beogCf}@sF&WbIW9q1nfA4yFm?Y1>g
z>@=UYR0z3>V0i6(RVuOa0P*vZVCXg;ViP&$il-I0bQp*x>|Iwn%^^~qT^caTL8ABI
z3a7#AkhBkdLVv30X~Wy?5vR=^X{2=NA|VG1A)c_E*w?+?&OUvL9pc~qesJzAKD8}<
z*8LF8n(#8<V?bjOT;lmnfF9MJP2ZNg&0=j6*){j{kzVFC*3-fh0=JyQ=Y7xnj($Iz
z-rmICzC;Xyh>C%`+cnOn^zkKPLPS6fl!BBG_8jP47z^Fny@31yIR$H-7F`Z-c>7nd
zTph4SXwz+bun$%22|1uKbx{#KUEQ>+qw)R(Ao%&$$?<;^WFWqJh^Hp*ooAMdt9T<|
zIapU4E)9fkf%+<aCHf+PPGz&><5N@Pn#0B`T_C}fSUqwd(CU;BltGgUn_itRmvdR{
z(^#Hvm+C?SVY1_!#A(g#C!c)M?|%|+;61@%4tR?u+FgPDpYlC@%0ax8urWLZni?`x
z;IFLs5m4EM$c#jT`f0*D>7~ZAtWg@~Es9|zoO{SBrQbBKa|2k>)qwi}ujM}c?$keE
zFPqol!QHxda|geinm{!gt$KMU_HbS*=@s7IqqRY67uxZcPThRS7xERsE%^fQqUW~R
z=^B*x=n5c#5rM8jsEq7n4;-BaCu15ERZDM*BgL~xyr=n!_q^vl-pO#SRx@v|HQ!{+
zTbpk*Z#|3*3i0NzB;BLt4M=+1eB%ld@5Rk+NtZCFd+~5Q_iGbnI53<l&3V?_x+OJR
zh?;r*yX+Z=(=Ml2LkKq`NV@PMo@*|tZdzZ3Pxe)5J!5h`z-r^@m7Z67llqd*h8`Q8
zC-nn~e7&W$Yv|nUKUW<Y<VLQU)vNcwQ#@h>(GO20FVv=Yd$0KR!Og_5cPi+KAI07v
z_%VrW#n;huADSvJ#1<qPaL>INmCkpf7EAB>D|Z2Gq~a2ytHm8oA}6^)PDv07mZw_I
ziGJ$Vqp#(^@_tLS5Q^z(a}k8aXD`{f-Ak-T-C5}m*z%-l)zP-0d;wWku7{rwHAM`w
zab@+YbqVVi%T-n|ptPlZRQVjM8#@tF6RCU&b-MW9Y9i3Zu3O*X_OUOzOJ{x+%ze=e
zBN{EZs#orM5rdtc_m$_JuyT_~J490rd&NA#?O}gSq3u#0d6nb&OM3Qej8uB!iRRy9
z;qx6ibjnYi*Sq-QTj~1<l*`!^UPYz|lSQ<Pf3+!bhGfTbg47Dce_(1bIAZP7xEkU_
z4jx~dCJx7|s05Yy4q6cZ8oX{UHZbgr1oHWCzdz_Y{n!sTFyagk#<FfCADfw<pNYMM
z+k?f5dfaX2rEHh(a&!4eAR54)lXn%uf&5Lu;7$2JxNui6csLlvF1|T8kWL38CYwVR
zYCQs`M=$@j`D?7T7_h~i8pF}iY*(`RX^+9UtfSXNS5}oqU?3km4U{inB7LSRqT)hz
zueM0OgzO?ROa%Yp#m*Sn&@ei62ys;0K+3ITZ_%kt9KL}88Bxc$w~QX@pFs+CzZ;Av
zqLIGBnmHYgN8LyJkht?vv(@QIQc5HSUc`!6;SKYH*<0>V$htR|IQ-%lvpQD$vPtuw
z-uT8hqJDVg2jlmweK6{V;~xw51)YyUu7>T$0d+@g?J^{$=ZL-~DE<*$jJYuK<s$P;
zh|^Pr?47thQ5E5W!nn(JXBai9k!u%Ss^WS<3@uD=cI`rL)_)q-3OAFFMs5$s@|n;%
z#$7=^%;)D`2nO6Pa4@^olI1>1orWc$2~zWq!}O7lx!k%l6w6<L+TmfO-<jKjtOX3i
znw-Lgek=^44%Vf34r!S_?<*k6{wOje`XH9UAx8ex?#Gs6ZC~jpgR4Y+?Wd;K<uyPD
zpoq6fYz0;bRW2)HRW;Lp{p#x2m_&&?tE;z?BM<4^>9OP#m`Rps&kPJq7Mvf&$`8(j
z^UDLXb89o%p{)eeP5qIPH$M2_@#DrBz6ZE^Y;1M)dRBGoDl*mM)m;TIJwn1XNOH^j
zlLH9vExgtr3?{dRvNLOQvjfZd@C+a>dC!nzjvs&U!8eXX7@p?KUH<mv|LDBaJcTur
z7Z1q|!JRMkJp^mmkHB;3Cw)JUOd6l`?fU-6_ka5SO6bJ8j7kulEh?W^D6U~RupTe~
zST^{fu!9g%ppDkED?P7HcfMHbJi+_V^m6ad7khuGXH$DW>+4L#xJUHMzs}@}7c2_j
z?0od;o>#XzU+hZJ*m&lb>%G1XI-r-kzAhwUe?xmeYP#BVv1fHX``xQGd!4=5={%`-
z_Pp1t&*IA$uDy}!_qz+e>+`Vfz8bp3pYi>Q?+>x|rv&p6moL*&<o&ZOye?oIu`S~&
zV$!K?<$vpdY~}{G{1Guf6(BrX`zC-D)+A^LYOF<`VC^{9AV)8Qp0Xiurde)TKU92x
zJfeXxdP+J(rFTcpc`hhhH_PTHEO9W#AB?4vu~ss=bUI&Pax`W~bNrD+^X~&=V+#_o
zF@hALV)Ri=#B1qA3G_U>Tn#hzT_O^3UfPMRb~^D45>nMQ!Ib>`lHL<cRw#~(vW!^m
zGnNV>#~HTK92gka8kZ*~iUp|0(K6&%8~Mxm;bB95aB(b=%?$*Jw6#WF3?_5c8^zUr
ze&Gz-jmSp$5C3&%b9Oo#Dyg#Snj{N9l(O(FQKI$EW0`ml>JjWG+5mh!&-bM8iI@*-
zIe=hD$bfN;9291AO6HqFE44oYHJDf40RixyaOpSPE*tf4D&RR>w_)D^CqRY=7oy`A
zsfDvD-@qLb5`Cg37W7v62|J>9!a6azelAoSa{I95Bp8HPQPs^w6!9On^v+E^F9r%i
zgT;flW4=So5qrL9Zm^Zy6~C5BHj%yH%1YkLZ?d9~4UL6qxpEg{*q#!m5G0)N^wL>u
zpc&*&yW{bKHNp&^VJoofPUz01=6&ByB~f<i&Lzw9Q@+YWC-DF?elU-vY8X~I^q$7Q
z_tlzmLKtz*0Oz#E*~K|v07pcj>74V98Uu6<VqaHGrN{~Gmyos}sKb04nY(p`ct6cu
z$c1{v`#G{OHiqmIbOZ~TaCP~t0Qq8?K(9b6oDg#SYWx$f?O$O4Z1YZhNuk~QkuT|$
zhW>op3=hxqEBIRc%)-2^^c$<WWRNT0TWa8zf&;m1LW8<Cd#o8W0K61z)6hMA4&GKb
zf{*+KjI|2b?y7LkQ^Z;P1Kn=P5>h4-WttkRJf&@h!&{}`g(sNY18&=5-tyiTY^%(b
zHy2h-%o%v5GCv4s8?Nb^Q$i%d;Na5ncmi%$x!A3UJ_?*fDSl>N2cY?<0|NtvxMN0m
zb&1=T_66dlBG0ZP5FeigPMe>*UX-!-ao?yn5R<%trJrNz=UUeuf6)>Rex?LxoaxH=
zfZrdgEiH{shMe1S@o?rH;Xp9*a6T5!yyoU*o$4FG!n!$3OfDA5)DImx6b{Ys(IV@a
z9GID23SB>ki6dG?rixy_BWxt`T3;)_?-=|DuNTed6!3}hL^}ejU^K$}G^b#?s3Q%y
zcj0rd*NgP4n8sZLoQ9kSm>m6g7`E5Rj%>f*Ka$HufeDJm%0#t#Vr71=y#1-E<>mP$
zWI~vRn`8gL7<?ez7yKCVF5EHP-~6e={y?-?oT%XGzCiQOI+Fn3K2{n-28H1Yd^d{N
zX)To=y5~LPeg2X1>gwUq(eW|tLhWEju~h7aSU%tUHqyL|-W7@1=f8sf8($2%zNdi?
zCWTYAy`-?4hPX$~H?^cBuf)snyS)!z;?~wlY{;9fn@9T{=j2Jp>2JQ>Y$ZqJGHwqh
z{mmW3o%9C-?|N4t*bf2{1P!?i8q)BU5pD7ScExLOhhxDsEfl_vVWn#d)rivsNYL~m
zF%$<HlTni^41Q&jzyhbIW`E@j&rQRjT@-6AcMk+Jh**M6kGTS&(y)#oSQ?m6y=zWG
z6arL-Bk&BkKOPB1^Y1c!=lX}sLq()Q=^q)+ru+Pb=V!7b{pW`7OTxh*>`(K@^(WJr
z7zQNy_U3PhqeTg@x>>R;oOv1xhnHX#E?K_JJbc@2w?&ZhEDo0A)=)GSO*KB_97^Wj
z2sD*Ja*_U_q3r2Us=9XvYYs;_;@BoC;$Vw$eDw9V!`DKW#NMv0bQd0edJWDS_+PJg
z=+#od`@R}9os{D}ZN)P8<sl*MR*PdKG1_%1K|jb3erPwF_`Ly9Gkft`1OFzOeflTx
zU-dQ7=xeH%qVLU?p0<+g)1~Zt>7%2$21#=U@a+xX8LTqR;6>`*L#n1<AeWEYl{v!@
z5&;-QftX%o>e7~i#9+y>%_KGut~zdP*;aI9+TYuTeoZ)=<Ss@A>{qFi`9{VrPfAGH
zaZA}Np60dDs#Qub4Wbf0%v!rdgl%4}%VFCVlIBADs;-AUM|BMxmm84r1oC!Q<cntp
zBwj|Qre_!zxorn6f0Z*)4v3my*LJ8`-@N+Z_&}4{dOaLa?yZJEP{l#R)LIO6JJPK}
zhmI}>>kWK!F!7WEXj_oXA~Yk^CIub$RNO%VA$|tb0Cvo~u@~b+eFB>?4oytX&rePa
zH6J-hF$d*qK9|eS>ani-Xph2LkRENcwQlWF%2XyMm`sF6fV}EaynO_8ZvXl7%J8N3
zVrb8u&(7Ut-_}*<F4d{}JOGk+51gVMJ2UK;+tQE4eWTv~ruQIb%SU6o0I9Hnd5jcS
zum#_;r!2Sr1!PBRcmVULXdNrqTDh;b^Qq6Ne`gm<hE|aFKnM_jXP1yuc(lMZ9Qpl-
z+3u93FIvEDgK$@A%Z_D9&HeTiCjS2}HKJ<p(2@Vpi7;AdLe@F!YZW+FZTsISa2|Bb
z-pUqESt84c+Q0(Cq|c#q6_Pn_y1_b2WI1?~kJ626&8tMOk;UfIg`!%(k!l|+jmRhs
zItDg%+u9C{88Obx?1>YzGho}`;b&ETlBUtX3%<cCA0ABQhpq58oKFpYn2dGHj__gQ
zOs=pBR<$zem=9m}3FnPh%dvmYA^7*P^1sBs{~G)LYyUF){wntURsS;kE)Ksd`}#g2
zJWjWT5Q`b&uP$b4z36vH{zsQO?{K+unR98&QWva{?j&N{tyLTET<N+#_pNZQ{7z$w
z=Wp6`kqer*a&c4SZFbpMh}YmK@9lS`JLJ3^T7>udKFs|hJx_C*#z=F)QbMB#xdGZ5
zm%V|+B=i_upVc9zk;D#qqb_w{@k({y+V}7&&3@7K#d;KsI1*ku{yY*>q|-Y*nBh`+
zG&MR)otp~2yUJSY5gN0$N8_`<L2;l}gE^jzARFLlsXT1xr?bO@$@`sD8u~t{B%1$5
zA2-MUbL%BssdrWa6-K*3*LbJY`Ht%Os0ZGK&O+?LFlJ#cL9N;|>1A2>jNMkBt6m;d
z=paOxHeu2wJINFxJI~0km$$f)Lo#SGp;$Wo5H^iT7Dka1x>zdb3tk9|@dmuvsGBiu
zDR#w`UXC%b@~dK|4|%0WA$2Aa4`IuZP{st4MN`O^JtMI`{A<l`z%6EBct(dSmD1mt
z;f0jt)ppV6CEsm`wR|l&O(DgQb`@ID4gAZ?dgKaKt(OvKl3+YW3T+>^RNFoXrNO!w
z!nn%u&$BBFQD0d@)ruBSt+{TpP_X&;3WZ50aAFdEucIR?hp*FJ8O-G53FxVvKsb&V
zB+rUx#^T|Cvn*6usPpoR29e|z`FvcMR+GtC4BjZ%`7xUr6#t--9-rGkHGRltW;rxH
z)ju?9hSqC0cwdsQ-cVZ~GNVINVK*5XYG(x>3PBK^J7ZaaGjjzK2@k@i*q?x+Gmz+q
zb#X8pzF>xihY@QeN8%3Zk@o;!w6D@5OL1Ti8L$X`lJ0i<oHtv1S;Ll^jS}~=v*D9=
zSG(SlNY|2Od+3{k_V`NBhjzv(bU?GWPFtW@-?wBs<dkV>kdUvz#stzCiZEauA36EF
zMguTeKF>nZ!*x}YAbLs)t|^gu^5!C>doO@~&vI!9V*vSWZi+nTv%_*(O6;$<g!ls<
zFPUmZH%kp*no(nGH1##D%Iml;6+3qjA2@f2O}xt7tpjHO>jSVQ$_P?>XTH9vc9f*<
zqbltD?rm+K#%^E7-c$MR12ca3F{g^d-h}-#|2105Rjm4H&#M&3=*p6=aaAUCrcJjB
z2AxXPrs^b8ui7qg`Ey$NEnaVxTnKRLI=bIgsTD_mky=X5-3+y(Go43{4)3b#?X^Ca
zg3?B3&i+u1BYD{iGyl9Qdw%+%ZU`&w?jmlT@fx28KK(q#-ulp5c+fyug$=nT=&ut_
zx?o4{5`LiM6F8d2+}Scnif6i5Yq?*r1ik~xLa_%CHDd{Sx!nXVyI@i75?;ZXi0YlH
zM_X0}{2s;;+gT+N%O^6Se7-Nx4^vEt)|-Js&L1kAIez?1!R^cE2WZ0y;bwmTXQ9jq
zaoSBP3EE$S+JCf$(<e_nQw`z*I|?$FPA}h3InD286Kn(9l0bMs&Y!7FWc@h=1SHr7
zwk44*g#5YFl^d4X{N$(tgso-bRA()5*Va<WJYy|_H+7AT0dG#Nac#70K`!k;s#>Hq
zsP>Nq5P*gGWpQ1BE_-5jeCX?H-}%O04VPzO;)G5av}}2P0o0=K4K>Al9XLnUGH}l4
zd{e#`b7ut4BCVV=S8R8pU&iziUk1pepb6kYy7>?`Q*FhH5~cuJT&Q@~#qtH2#(!(e
zd9xE49UB^!2>&+1M>>;uq7T9{q->p5Vqs^r4?;2$7&tK}k-!1j3gGr@l8LG58@IWt
z8#?lhZR%@Naew^raHP^d&_~chJ$rov{gp`gaol)25*>sdhoU#}I5H!I-~N6h`XqzA
zpI<hAXMTy8w+2r`q8juCfXgF$NiG8a2=I2(bn&z0a6pI7<pb)2&%rE$+-q|SM~-Y9
zSy%u_B^OXWa%2H}Wy0RLT(2)5I<$OUeR-A%3SYbD6dKIkH@83*&3jZ|<Ky8l9_A}c
zvrOfNIin91xGAjvF<%va&(DzzVoC;!AbwYp^_AtCTV~_~d*B5DK=WY{FEU;qc=8U}
zhS2U#Xm{b*a$lyw9K>`=)3!(@`FCZ(e4IJAF%@m@Iq^f@CaQSf)RjoK_Zr?;657c5
zc^dOm6&)^jz=0c>NI@%5+f-Xbe+r<6DbmT}w8_fh9y!avY&@^Yk$@`JC4CY+Bd{eV
zmmU_RUGHwq&|{&l8J$e^1%e2xiUwkXZ|a!o$y6Yy*P}z-@7lTRp6JOX*1@{ULr;Z5
zAxYrq0YUrT_@FoO)=z->yDwtyYw#Vn9`|Z+Q3^~@W#6CxY)O3_5z^6?e`&Yl=tW&6
zspl?(#r3u;H>G~X68ZTf9yed@CxzmlAWOV7p4iyfw40pQm-`jx6e<yK@zT!BH{{@J
z^QP1EdN;JOg8#ILj20=Hx0NWgLqeuK?|2ny+u%(dr}~i-^exbvAAbGoUmuOW9-F*H
zA{H&cu$_qfIdr(%QTt<E{k(H?7hg@K@G@RF32^0&lc)y^H=MBXVYo(Is{X?Y)17>`
z^iB51x`w{d;=oDKt#h>hv`H&RtLwFW_0JFL+S|X2t~GxjeX!}ryuMxbacFGcjBmhO
zd(4=D7Atps#X{4iX2pIAVIH3JmZ`Y}DDPTI&xjl!d$!22uf?050*pQ6d%aLJ$kw78
z;<~0D$o}e?RihJ}RLI1RAR=sXXAoX>uk^(%wqrakkAzJzSRr2^!R8#AcsLmF_mP~X
zL~_U{WN)&e!8A6fXPo4=oTt**r-SDS1i%9&VkaEX@mmyJ^|+<ep~t!tL{>@UmJGrK
z{}I^wKWkhU>DonR!TX~bRyL6jWOGAyGqj;xHjtm-S!R@NNv4@n?s8|frOpq&yw4v=
zr5$W56oJbP91DPk#qP4_)I~;FgO~nROHL8o+KTw$AXx9+iUe;1?W#|={!U*xet1R6
zkWL6HkQKhRBO^ybv1Lomov*{@g27H)!0s}^a6J@_hSD3@BgXy1&JJA=Yy~$|Qzss3
z?$Q-i<()lSmlPg`Cog=4OgtWgyGh~sNQcll764nPu-EA#yGP%K?_B;Ja~ZgpmYUmW
zbDf0UmsWMMz``aIyQzu}{ja$+wBr(n0H++W748<yCyVkA&xjj<a!}x~)H2Vp1OH)u
z25jf}$?;g>iz&C#2PE}aA@#+={{+twbZ;yA`-&!6`U7mbP~cP1VltDN$qo+Ws_0xa
z8i~l^%jlZi{bDNrI{2{pCxWRj7C%xf76VT4R*YpS;g~mq6)Eati5zN}&SpP?O2Xk-
z6o+UGd-Z<j@@LTZ&tkvZ39K=+Q^X3ae(-zXhiq5dy`MG@gS5V7*=y8|U;XM=Z7=ev
zuf4_mvfO2RXEK=^zxK7SB@2%M_x4rX<k#K;(8D*I-gpl&(zZ=Mn9hKI{HM_6PI2Hx
zMp2;C;bn{<uD9=DV5iOR(H$VOYEoP2Ret_Y)9Lf%=g${LMhfvXg2dAwd(Qa*?7Hf}
z^Z#e#=9lpTAM{?yZsA!94(IcEef)n%Z~ziN#0SpfamZ``FKG4|z{xmx%OF@vx>TZ}
z0Qd^LK-&6;v~V6yF#0(5_;DYP2HoU2fHTR^xup9@B6h)bFOUngnP-}NCP7)jHv*l{
z{aQaKfKq|PT`?N8EgDlv7<7L%8NCn+U5F;ZQ+q2O^~A>m5&di=(Dm8w`X|XhQJajf
z0G3&QXXqMX+T7M|Xe&nv@(~~S0kq!$o_5V?9V4@Dfym?UTBKh{CDl9T<N>XP>rAV6
z9UqV58>9`N1@7WL-810xZw2mJ7av+H<M7vm56}qWuyg?22jVY^EoP+!V&dY_4NX4c
z?j6in<0Y}aWMANS1;>C1YBYWkD=HQnxp5?(OvS(X<~P6j#y1DU$HT#(N&17TA8KHl
zf9%Ea^l?luv0bCyXuO=SrBZRc7>oV7zUCyIpuEd*WBjGr13qTn3W<=iOfG@lP7=j9
zvb$_NuVYop6)I7<RP=fQY$LA-c?6j1b%N=au=tg7&)jy~3?UGK4HQ~<N-5^*cez2*
zvv_=8W$30Sr#3Km6CURq6zh&s@+<Y5I(zvm={9vm)F1PK_1bQ!zdtf%DS`3X(qy#1
z-&-0=1~w5)N#RBgkiF8GVa`#f5W{zeGikepvyvew1XV7Qx$^mrW1XIXmku=G9cxIn
zS)2&EV*@|PM5vAo>&^UAD74Mxx@+Re=yuo1$3u}w=%ENO#l{9GVdSCx=UiLFKYbWG
zd^an|*#iL8((T7cs&NCbymx<H`_Ij%y4uop(rN1$^qoXAbjCD4jmjuCO9F`?wf4kZ
zWSp!BpqPt{RL<=kb@;l6AAT5-O2LO+Cx=ai#Ru#t@;zdx4#<Si{PF`2JP-&x;6`%J
zmQL;#Q$k+RUiF3%;okCz#M_ju7~tyRSO8Prletw}rYRl9r!mn7w&4Ez?+*s=-`|3s
zk!J^W5b#8KN_9jszO{nbKx`X{y*SrwJKbBYs6|O|zo13W?*p4_rh5<Avu*DF_IlcR
z3j=JYg$+M&tI}=q?Gn@s_^_?!(p{}RJ9wxcG#Ll=u4{b9BzqLvCrD94CP=~UN)-z3
z<z?^0MXD=P`lyPRG|+H|9B#JqVK*`NQ5ChHnnesc#jZy4X={Bj;!vl^1XhS$Vv}tJ
z+id`OHk+D#O2zJv&LxoaltiRNd84^&tFVvrRqltYl_~t}p$^&`j``?Awv3h5r6eNJ
zsFfKjuT+7^sfDD3i6Jusa@??(vlAmit@F-2wmCT!3{G&7o+?XLR*A>$e2(un|L&dd
zd}q=)7!N#;hbMx3-htVOaQ<6ZPQM4beHs|7TrOMPoCnkZby`5J#A(`SUpbzjV3rP^
zsH7$>4j<&IEe?Cju(hkB3zJvJT~jw(b<Wim2YV|K3gzoMj+cG<+qxUxO7d=JyXUCy
zsA>Khiu)YZ7IyFArj(v}!TtmsE{lW61FP}APL0G48;n-f*_|C`-f^yacTYP?QNP5l
zN&HNmU6VZw>sP-m{gYfiTZq+L7n?3w1+J1pv8KqLNT{v9(7;S8sM`9Pim7*|bAKW>
zKY#4l{Cv#r=CJ>KyEB=4b)$mab0#VqItATl!tX&#3c44<eqpzZhZspe34d{&j9-@l
zx|iD+TZ;Aq!c`$abgHZcv<O-gOxar8RNa_UC>7#yu0XCo>^RbWHe0(J`+yGEwK;&@
zLGPX#8Vr=|+a}b~vOR7~FWvvj|FQqV-D9TvJEp&X>au<Raa*~EgX<U*$yDBDV_d<~
z#$+iLZts!`ysHV9TiNdeP^Q8OVYytltNvp2tU`-bB%O_3wD-I$Ih+Y{Od@WVbi(vl
z5^lG|=j*V)?g8~e*86{8Hx8JOz-~-iC{<#I$r-tR2>|!Qnp7)#_!x6hTt2*9U4di*
zy^V0_9$P!*zQ&C`9doxM(XU`TNcStz$o5pgfAl9|tq<-ZNhg2bcf=nE243)jK+t?J
z5_x|Lsy+m$_!6o2&-4YiVo<FhK{JoBtsso=FMVkMq682o>94sTV~N0@N!nsP9tOZ7
zJPhcsrCDvI9=Qd`NH6Y`UzmnzQwMO9@k{q~340zwD&YafNbN%8>;Co?@{;95l=7%{
zm>{g2-7|i>Q--?Y<B(^C?;s43YRE#u5+EPcc1PjDC+hMzOffZBJ(~y}KnrVT%PtcI
z1nWO3AR<7~0<e;)+9gxffvQ^Hh$^4lwa_Mos=)c@#6Nf#an`<~wvzF4wq<NFm-b=q
z;@$QT`Lm(v>9JAASzo{X_VsmavOP9EJw)|!f2X_aN_nGp?AW3_fhQM_9jk4WV=?op
zPWM%T<JNwgha|6_`0Xh3s}cwS<;s$6r0VHar)Uk{Y_<+7uoEy7F|5!-k=-!lNCT?D
z=bNPXo1I5{XU}dZEBZ0)`cox_ICqZ6s_Y0vE&mpT9;+j#98+o??9~hK`my`s&hX`#
z)&@kZd7N7l$#n*ItG_O|7VsMjz&~y2n_aTXZgxGb`#q6+m0%LmObWM5ehkGa=DP(V
zQn=KKPBw`{IvA3M1r1uP6n6B8^IcOX9kY9)4lsMoKAgyPlct!A{mi>$$4y&ryDfC_
z=a|dE!*?B@=L_&7u@YhDcua}6jzX!BoPFb=;<_?nR~re)o3;fzR~rYmQusk{3|s-$
zI%0<gkVR(^GWPZGPlKmc*JxOGbB;!t%~&IKEKY+zToKi}$I}Bm0hWj*z*f5Xt8Bwp
z>jlZ$$+{ig&dd!MUb$Yc3wCJm=w0c(?cQ@uvM=K}nf`tr`<zTFLq}}9*6D~N^Rg>-
z?s{L?<+b{*exTQ`Th&xw6$$rIYsNXlAJVM<arx8EJIoisrye0@q{`OQLSn?g^{Gyd
zRE+5w4D%s@RqD#w03LSQxi_1PrM`2K$DgYX4k6uwO~(MW(0$GK+;`u7xnf6FhTCqu
z;b>>z+7BN+ckX$}sNnZ9E=(h)y7?f|Uc{pvi5CV37CZDR1MmPq4lSee#(e(!Vuvud
z=n=S{Ae!iQf@<6AruWz)K4q*_VoGlwt6)<{?;Zh<8VW@}8U>|oEs<ucgaqWB`1Zr2
zc%1LyalD0Qf(GqDCipPy!M-fPNLLM8jejuTbKNSoSBX5>Ap`tT#%$9s&*XE^|MUSw
z40f}3#YbYxWU|SfXmlr;HBW?db=g{RauUW9OmZ}YB&<bZzdCnyzd*upAr6OK$CrdY
z{9C|nqtvoM0>Lap=I(GBfHs<b$(ZgHhHpsw*04y7&kcSijWFa)=FrkzgM)W19Rln{
zBk9is-80iusU)nu{!KTT%&nX~d;O{TSZw~(^=Hqn<dR8u(|;Oafj``Qdu4t7$kC<e
zc=Jh~w;RXy@PX^dhHU9JMJuFyTu%E4_?^yUvKl>ULXoW?4kFOr)7Kl-3SA~A$o5TN
z6}xodT3Pk`+r%ADh{NRYjM!FS1`|abw}>w*0PDE4E$3SD3{N8c64$NicnDH(65tL-
zVI#o^X^c$kN~@LiL?Ajo9t|XVTp_Hq^)`Us$%8kc11K+JA#!@uVUmqO0MvAkymK!(
zv$RN?gZVrS6^lz}erKmwLOY0dOK0!|p5zOH_Pw>VgE{$L`5iVa`ffH}@xAgpRQ&1!
zzYcl$RWT`#DwbKbK#jX55GfE@O;cmR#gC=OBeWHtOsA2|=x%J0-qKu8-`#vqOUXTb
zxAy>5+vd}W1R}QYo@RWgr^m+A-)<GX+v1(mp4$=Oj<4DdKPV`Gi(m$H;n4w*2JMi!
zr+0fUUU`}QFuT1P)b#DY%3hEcGnaoI_;c4+!fL>*8<^}cT>2-CA*SM=XVQa{=M;t+
zNDU)6Ny!TZ4y$WEl1)63iro}VPOeNP(yz{@o=7BS6WMz@MfE29pz5@$;Q&|PCsNs0
zr}6w`GI~=C&m;PEHqqSdR0WjN={l`yIC%PhY40ZNtk|!oMp=tElqw)@5X5#KUO9|u
z=f7NDbf0;M?r;qyO`yJ(PHW^S$1CF)c>Y_JB#=}D)M%+hh0@CayJ|07=Z1=f#L=U7
zLRL&99Rr)YW6m8pIzDcS1L088p9s1A`Kvx~G}aeNoGl0933vFILGC46js^bG1n)e0
zG*KwJp@csf3J(;``1sKy=ipvw9PnsYyPH6`av~lmpG}1NV#kJWZWmpQ8RJNHWz52`
z(vmJQm(oq*Ee3@!{q!*5m{JH4(+E(eu9Y(n>OMYA&pxh~pc~-m5GW<_))c}LSj2ld
zR53j*nYcIsWN_}j^UgafCU|POxRA&dj?LY<8;u6d!ilGDxc^dr(KsicI<b1r{IOT)
zF9zhHg~Tt)OLrDeoH+5+*$3nu(?DHw#|pW`LUH+2&{Xcc8_CGdt)6)5r1Nwz8omF9
zr%o)GDO(7Z_{j39HGM^^I_bzOKytMG=~xT`-s{xoUQPepRv=oPqT9n?;mW6aE2UGN
zQb(8SquzO^ZVoUQn2VkAO_vN)@4SP4if^FI`Ss9v-S7J;--kf!)UkrPMamH>JW`cw
zuOOA0r{f{>%{9+o)fPy}PXi4gf*L%Uek<ku7p5WEvP!LrRai?RKi8`a=u!56?E+;H
z@v={?f)y(}lqCC7kEi-rz#iF7W>s%*&CkyVoWiAo6PVvIB|W>yvqmX2<ornANC+PI
zNz>nP6oIQ`E|OJ9i3AHtpzryVPa6#$pHBu*WZP788_7lC?2FHaf+)7jmyn<!79Kly
zZY&&Im8!Hwaug1vRKoZR{s&LA3n+ul%gcx>Tr*Lp@Tn@Sb4>-o6LP&tlxn47N7*KX
zsBo&Cfr+UpzsaO?ySX%W7V5|Hh(vy1YGMG?K2hJCot=f2++?6=pWPG3yuo1k=&|Qi
za{2JkP&l8fY*g=$Ao%GAj+TRisIV!oV0$#`+Myefyb*X)>;T_~eXCyWd!z5|SL4m7
zm7v~&pk#l^WGiUd-!;s;&b|FrT?gOeJ^V7~xjcpnC3o!#F6btG%l1}_h3aHSDF{Bp
zf4!p`dcM@?xZ0Y-UCdz}YpCsE-=VaY&Z^6y3x1h)OV#kPHx^~Eo4iVER+&T{_?4XH
zswD9DkV1-k7x-^!?%m=?rXuJb$(kin`1>?w)|5E8&5vVpWomgHPgL<}$o=%E-4I@`
z>NUREoW?t|G_r7R(G}2n>n~ab&vX-dBMX<RIudZKQ~p6vQPN+Q#cvgKMDaygrqn?B
zi2y8UmY3bFcs!m>M2iFdKL263Uztz?zE$-RKXqq6mT{u_ek&lqlo0w#LTGb$)?DC=
zLvKq*+(guI{FAQh!hz}TOzA`EbW&7mnOHC)LNx{J=Fi#=&CX(du|HM7D)(6PvWj-8
z@l}Hjatbixo~>e=>qcJ7?w?UvJ~FznFggMieKCx&bB5wOu|ck>(C5(H|BJ2N#eTBI
z;xM1$)5xZY2NOeq?d`x2O8=vyVHoQ+jftUcC*cuBn_647=&A$1FfBj@VyNXWn664$
zIaADpn3!RS<9}|sT<(M$7(F}V%YHc6p9|#{7I5eXqna+J5=fTjcLEQmnomC*V4^kb
zol#7uf<JsgbL_XEX%_3fBXsNnw0)^b$C*rl!$sOxI1>h=k?6&XI0Qp3n2h}9r50cT
zX;`@00aV>0dHAt{srDv{Q#wI3*ZVw&9v87}gddlU52%_}Kl-2~I|GpJTQb1URBX8=
zNa@|B_)4m|ms*KmER{;uxM`BIdg{{OpWy28fomq(p27R>On2!*Dl&E9!c-)+Ws+6Q
zE9SVGG_0Z3WnD|uIWz!!HQy_+i>{5vRlK0PqO?^Z78B?mPs9V(t6{Ay_*0!56p3)l
zD1Fub5{c*rN{U$c9G%z&Z*HN5C2c5w_@`&QZg#uRyPs|B?%HUHo%)WxMJB>yB<i?A
zY`E`=KG%9-hmU}6gfIVF^KJ7R*!Q*wo!1g1o^wJs$Zr=h{rm?;6MXiRTQuMlX&Nll
zvg<@XZcv0W_rQ~X%4fcBaVYl9ocw&_+o5DIfA^WsH2(rykAzYIlxxvwoumy1<SOq`
zG`|#Zr*B<6{7vuY6L+7@_a%a#Y5o_~!7?(x-W-Y4Nm6mB_AGMlg|8BOLJpW`1N-E>
z8ml`f;<*|G?Xq@ryjVd`WhDcuU3Qx%kWi*@J6Nf8JtLPr{<3>R7zG9e1@d7mp%KO6
z^q)=_!A^Tdil2yt6Oq1f9Fb5a9CTK(4_`bHj)Yt!r%F76zxIVc=EQQ6@e9@kN0h-A
z@#tHbof{mSn_aPHjq6c~<Ax&PWIXH-AC_Vwj?MkBk0`=9^qyS!Z(3uku2$_FJMct2
zK<|>F&d2ksvEwDMvR+fg3q>;3DML#4{opxBLFdl>p#9yQ8nmZ_Q@1_x$Zf!3YU!}Q
zPNMJ@YnymWAwjflWyd<`c?nqgW@2TgwiG0!{v}MYOzB4CUdW39`pW=@IkVz5fO#Xg
zro>Wkw%B9<-cBtX-W><Q7<oBq?)WbK1DYRs^wCEHhvtue9Ii-j^81~>6=X*q4=tbm
zR;Pq(KFNpiHVF31M}Vcqcf;ZThF4E7&l&n8Jp$6|4D`j8E1^Sy*K~^098!q!o=gKt
zudTY{{ww^$_8mI(eqSBWorB(_A32a-iW$(v)3oZ60RYjFE+O+1`mORYdk&HWVUHRC
z>zT!;$^LVaR%-!~e}I<&(g11zC%_Zf3aHNPO^uGGzhaJS;L}PpHdJ0{zUN!t`j(Rp
z^!e8&BiQ&Vaum=PDTPhsbi_m=6DDn5F-UVcjpl>x(oQa0`s#6w6<9fa`nm!0I4X+9
zDkEkBxkLGOxCBjX_$Y=m8lGD7kB@!?brc5%idvgj!k95f+OEh)F=)HyfXSIH%ZG$!
z#8MoGT%NtbiBM~Xp3{!8u9^iGqoT|_rQP)!o+teB;q@BCEPaQg;rM1|gG0mX&s#a{
z^o0j*zWt7K6Gu<fuRr;9XJ}|?W~s05?8Kyd>crc}iZ>lPlyS}E)X5u0{70vzQWO2b
zrKQd4Ehoa+>u<jKTxD@__16>5=8ZS34xBo5Z!l1)&Q1h^hien1pqr_kg&i`vbn|oW
z_Lu&As8Tt0?52^@&Bu?GUvTW~#M;`)vH3gBo|$UC)=bY%F2<tyayCoY0dojGY7cAT
z4%m4f^!*TQJ(?}9of?8mQf6BH$nx;Q%@Zb6hXM>P;$S!F?ta6o0UIB2oRC0Ff7WXl
zEiFPQ(&2OM6&YWS<Uea?y{fgYZIZ<EuXP3JPOog+XF%k&_+9SD*Susa68VyKwm!CL
zKi0a^YLGV%o)1k5@Hme>8BSo0f^*b38xAgUBHYCN-~~lDkIj{-6c#sM%m94Gi+1e1
zL4|haiYsOh+H$Lu-749A*xMGDt*zEpJ&#fT<=<oaQ*c^WN>qFAvL34bMg4CtnEJMT
zuN5fPdarc_oo37_AP;<06j{(g5h#<WObE6Cavu>4WJaba&|a$D5xb?WtXz8KNa8b>
zE?rtljJ)!a=UURXRs5?5AAGQ31|NKI&@@VWw!3?sG++YplH2$u1WhhoJB(bwcB~1u
zM1X7l?xF7a%yNaw<^yiQo2CGU78=Txe?riJq;f)Q8`3glikSg?Ce5d8Lw9UJug{ng
zEb#lT71N<mx`^S!>k|9Q8QEsdn}otm%xvomws6HAy^u&{b}}hw3cWcIych>gd<n(}
zo$}N(K>Esga=bd-8$Gi)h^N9R?*kT<>DMC%vNfELjfqdhJLXg1$6d(i?nd2qux&`H
zgCps`(4R^gaO7a>tLz!pO}lsjOgvcm5C)aq-EYmE;k&Hl{a3sxm5?w3|22UBMrccz
zq(iR|JXM3E$q;tcPh)jjG^0dQ9ydUd8C(J}V9~q=DXmvufw*);tiNJ4=G4}o_dKu#
z(H90SQxbIgXT!K32+#F9pG9twcfZUZ4EkU8Zf9(KlRhTv>zm_a%Zb#Crt+9cCHmI!
zMld|P4w+Kq$}c-NV7(;4Vc+b#3$wFM_cbhcZ;C3A3~YPJKe1^AK=is0>nY5O&JkxQ
zFeUG<<6Uv_F9s3vS_LOC?$&MkqpiBlYvxZkMiv&Pr`^!tn}-(`X66F+j+sSb=X5HY
ziJ#uQ{_{wmje(FY!~`<8_xAQAzc;cZ{p!fTZ%>CpLnDieGg2rY?zi{qnOrW8#Iot{
z+jz;BpjY=`QRjxf{@~X<9|ZM{>;-_FnI69WMd~^@0xkPW!M$dW|3?tC;aMOK!Gwj7
zhimux|95!TGj|+%1#KA0cL=<(Pj$qe+%5h<ieR2~&)WE1mZ_qv4zv$^#Pz4wuer-D
zbpH_A&xIq0hb$4e$GgC**FF}|)oKMT+Sno!`~?3n=kDdp;LA>7J;o5*)#gd)U)J_2
zMYjp|)G!jtEsS&e?eb))ny*5iMYfekl{rypg%x69DBFP=l>3khxZGhBU=482C><W`
z?;kv@$A1?c7?{|b7#N7cw-&qJI>}5WF-)ZE9J}#_X9@9{crFIxPz<K5RE>RhQapa=
z=`Y#wd&rK&S1eCpw(Ss@lry)mFz4v;_rT4@e((ojQH;c31mZVSS@?_KGr?dM+ixIN
z6yJ`<BK#V^ik(Ze_D|W5Y}hMX_8YAU@Nmj5W^otX-+9o(M<GtAIYWj_xPDIu1!Bm5
zE5O|~l@~C2{6|Ta5^1@WC4^K^eJ+S8i6fCHN_C(@ZmIqB3$>)(9aUgQ4&lA%+Oe<>
zb)oS)LANyYXd>nM9Y3siC3=3SnA(JNB;u+(yuQ%BBQZC({O#ZVZ8Bo|BS{ocYJMe>
z+!!81WuiJ=oR}D$op9i!haCU{xjgp7#dZXV#L(#I#KdAte#IyB$%)yn>&*sS-BL&s
zf&Z%9EXLFI3(PKYFH^e<IOFY#S@aK7g5!j-qYR}0irp7H4RKM?FoOuF2h)c|EyBkE
zkkdZ2<)(Zp?cTRE{QKMp7`X!CzYp<Yh9a(0x$h>l`XBm&f%sDHL~e<@{4VqC{Rx(2
zTw}3Z^XpFKG~Z+mXJ!~@457I?Y`BH;%lK&WMD|3IFMgn11wce;B=lXozO%kZ&_7Kv
zuim8e*CPzT?W;w2R^jc{edg&rkg<$``dp?J+79@l$I|IVum}JqU~1_(^j?Y(smDSi
zNy-bw@vPrcC;u1P#nbvslPm%rO6~9=c;_%-2ufR_aA+E|C%h$BECeN+lAI|Nvd_`2
zs9nZKQ7xh+N_0BiL}DL%PYM^pNZT+thyxOE;UgF;^0bzpnD9NfMYFo8mGuU$a3eUV
zr-9F|iCJp1NIo)44K!|Nx6wF=Ioc&l)aL9(kOD?;G@d3Z=;EW48{%A-(Ec6F_35si
z-qq{c@;jEMP#=J)l87zxckKyf1S@d@rqJu-7F)a>>B}5Oz;fU44QvAT*7Hu!v#A<)
zXL|*#gll`@%KhPRjhIqPjTW0&!t_XYJUq7N)WI92v7_ArGCW&u!NMn6v;udlG6bcv
z=d5h`R=AVm%Cnn+QmHO-Ppdg4%2FMiX-9EK=3!SFzH8m!@yjmPc@<^CZSN`Z)}Ie^
zBJo{Uu~%~wTu;`<_}dbxoRUhGdYh)VNhQPz+A7q|L1yTO_#f%Z<|dCq*|jJ<>MrJi
zeqE<A3(zuAEFuBu)@YL~Fb1<*?&2I+7hrY1N`uZrrJ_0p!5o4^ajne`7$4Noy8gYN
zUBHDbd#=~k6tz<sZ%gK4098Tq7<Z*G7AnzEUA@K3iii0X0ZZ><zG9oZ_)hh0)ME=D
z>;W!^Fdi?2rOI>pvkqreKQg3^U8_+HCCcNV(1@zNhJh4=K*rrOpkp+Yqf;r0vnx1w
ztG$S_N3(-pAZT6eB{d~W{hYX+&O`<~TgFFifL&f+7(^Yi0(-$_(ljNN8n^b^V_kd9
zs9@#mhOdE42uB&E1%DD~Da3nQ&BE4~d!=ltf|xSeIcWj{6}U(vFvnx9q;p&He(R2J
z--RYU)OYrHXeiFE>rdASjTLpwNgwqNf-6$+bv-8W-^zdMD&bUk943dA%Seg#T7V)F
z>65x}@@~-eZUP`z)+um7voB)!76EX(B_%=rp{(P~2N9_ITOkvvEXbzlx#PCL8^7(E
z2!vg}DV4M`Lbrsdy~`2f{x%|TgE_-3+ZQUwZ6RV%F>aubZMk+pY%%J!(wzf9@H3Sw
zY3ZTDpaPqM8o_Q~$%hf`N&#8gr~TO`9^39bTBVwu#jW-VDiN*M+lNm2Nv$lg_%*jY
zO_t&sRu4M+jJ;^|M#op_3bbC_8ngrJw~Ck!<qN<=eGXA5FB6*)RP6i6sHoRD3#3I<
zD}dZWVkMRYSOMd4`&xxa%W{LfLN#X3kV3*^wizIyX2uF$PzXf@=C5GNypPNEp_to$
z2tLfA+1K;*@wnT+6vVDSPeSPqHG3%;y`9XZuAjZ;UgvV+$%QWa#c!-beE|XzDLoK#
zqOuu%bmFBk<fQrOu|eY>=_jkX*S%=1_3^TA2RHWHG`L20h39;!@8!PNb@-tuh6HAW
zS_)VY%DbLrj~l@N3Sn0j4u-WR);9z!Xa+m#u@$Q#l7aDTij0bZ&SC5Fc-Lhq)cO*S
zmr^{YF7kL$!R7+XNXe=;sfI0h3m|(-c5sC&9N6|^W91ewXh<BJ9MYpnb#Ao@9taNt
ztXSife+_HnvcEb_^->m_a%P2YeFJ+^Zr$?M&PuzoRRcEF7DE1h5?U780RENl=RmhH
z8U-RWU_c9Dw9Zp2tFT3?UX+;N?rV5{-+La<(v5$JXV;WF1RPJQ*xB_hKr>i}Wq8c&
zzl?#I&D(vV68YmEq&9k9{f=;wW=jFExkC~MVque>=w<J&o)|d(M~}_t%S&GRpJ*<T
zKXI3LvUjzcQak2>^^ttS8v(qcccJGG@k86Ed6M~{nbSsOKw+?LiF9XO@Pd};9f5Gi
zyiICzIIp~fNKe2PoFy+f9rd(I=F@Bv)ltc*8h_56<FPg+Sug(%zLzGov5_*LO%?Aw
zLXFpv^!yQ8#*fVDk5<4tsDMA`&hdx}`14a86&zv3NA4}A7LL$9j|$|6G#GoI%lb}0
z^SVeM=}FZXfY`F@FkKMRfVznBppXHb5)BT@_&2>K-UQPm&B0>XIgg!1K@69tVv#S!
zBZuT@FEzj2{2MdW{F}5Bo1Z&&Y;HczFwVG^V@}!({oAQ!p~VA{_?IHFLvpm2p5vry
z6>d3FsimBflibjgjU-4cCQ4#`$eY7=x`wsTbHv+YFF2h&0^cBfpEp-qso}06_C|VX
zbbeuk*6TgY#l0Nedr#eaFUE7YYdpPSUE-4?3-hCUse3u_NChK&fW!9DrsOkIU|_7>
z4lzj`W)DNpG|xMM36!P@T~rKL%-u9kBQ-(utEw~zP7j-+>}d#}ldaN^zVChSTiH5q
zKB?IY!p*M^&jb`BnIhlA+j#8T@)*WU`7fW@@s&UgpF<y9t1}TnfyhQ#5@Lw7$dRoC
zzTUo*ZU2Y^pCpmrc*tANPzg|k$Jyf`)7AH1<(?%>c(!@T2Adjs*Ohj5JRIKh9^s))
zw+Pc`;1lI5g5w8Wu1!J>6d?VE0ae*|P5GpWlk7FZIq|C|ESLmDu~c5O1z$9pF-ZSq
zVi|1QT&Nc4sU|@-a$>&Hyl6I?7vaYRX|DNx&Cc0u%$O6+-!&(4sbuKkK;Yp}GL>uo
zE-An9_Wy1E6VG6t+t?^L+`p;5wTb`OC(&sL3{n0>1_PZfWi`+p%$I5aA@8eGhol=h
zP?_znYKl!&hqVGbp=HNjYUA)1z<;)6LIah`>};hnuwez0wmi476&>$`lUiAKnZ(hg
zDkCGAbUHIKQfZgAwMt^+Ht(sD_f9H$Tf*&&--;dV(ppUie9nmn?7MA`8GNJt1$^34
zJKcmrD$;+nSQN}0M?r--U^9k+yA+17)WH3bqf>T-*InT29vnBQEdrBOJq_HaMZ&gC
zl&%ootm`k1#+USLfZJplwpT(SClkZQeW`)R22z=DJeF}np%uNk$wxLJ;#uwjWv|$1
z)o3-Y_$uosH3RD|+`I55H|G4PG#M>2IIkE@;%olgjjTv+my(9M5v?|5KLp$qg&g)8
z^C9G~J%ce`2b)_H#@Ex83h@h)3`|eeYT}FoYnJSe4v-_}lv_|TkzjB%SB?du|L_md
zz+5mGNIqFi+;K;u_+%3KSm#WzR;$Ibxx$+wk<=e0Q-7F3TF`th8>>0yr^91o;pZpf
z@xW3b`>uCo@e_|Ho`2U1U--f-Gm!jJDjx4!>BIl=c<Ps!!Xyhx9(n(o5_`CVtQR+d
zYQI8g7!4ErBkrOJf&VyZ{Fkd#;c;aDqc<3dSz%>bnH<Yyk&E~Ep3X}>QcW74#-C`Y
zh*v%ofKxCwvUUA|$ih@5Tis~SBxbJbWJ{-1k3P799y)aN=%GVufJFK1>f|8S2X@6p
zCOV{mOlF?$e512mYJm%`5^uEQV2i%%Fuzlv)P@s<X={(qG|YvD>f);p(cxOh?v9V1
zfEN{mV;;Kk2h5wBA2WA0KbAFD_Isn+84Y{ikxlKIvwlbOZWC|*y@^lGUD-o~@Cx1B
z1Anpu?gV~8o}JYyZP-*GWh_|E@fzg=NF$a}R?VkcL#!5*^9+muRvJ16q^()2GxFZ}
z7&OmhVa<l565De|RsW13<ajn^sd3Fg3<!lrof34jB^zl!4ky{sYIQW94~}n_W1<Yd
z*f|Rqss8fE%GFY-+KI=9ec$hUAE1?*Tka^$UI-+jh3FeLkqx@=c~H#<J4Sp(#Rdav
z@edPO09y{mTvSi%P)_l684Ovh;8RJ;MMuX$qOphRR?&HJ^tVEpenB;TT8FuDd~$Mp
zsl3t3K<sP)KuQZYW}H~0-|-hRX(t<YO)wNsWf8IA_N9@XJw+GuShUFd*=z(6T5dR=
zNN0k6MASN&OR(0A&Yj!cJvTp+vO4^x+5#}L3!taz@uPRy6vlTQ#V5-tQ+F~6$Bm7R
zMk9SD5D54~{(wQc@V-<A$ACXczjQniFO5c{e4@_}V?e;4&bZh+GUGJ=@9BY3X<(YO
zSGS*)0@sJ1`TIdvKkG}tZp6HO9BPFr46#dn26I*OPlg>s&zVt{xX|8_89`T64R8w9
z$Y8<`UWso_sl|Hj=kvp}la)Rv9Sau*KU7*+M5fDNCLRnU>e}S<!$Y|r4f*|n#O%z;
zVBd3}LuMGs*P{=J*~21i^OAvdF*LSxJw`RuUq3W9HfBmrDmgyBfjH&#_;~f`-0Z+$
zbPCkPML@OVKS7>+XHn9|(kNqTfaOb1`QGAN@zpKf6wqSs8Bu{)Pg$gmC2>^JNzt+Z
z_aF3lvYH<U>{i#R%Y|j98uw!-VQe__+SjqYsk*L%`imDUi<4U3`T2#3H#OgD%m$z1
z^RQ%F-`C*@EIGb3_+ku+fhyDEdrp~80|(qrsVqCSw(O}`L^<Pet7PP12?-R$A4}MJ
zv4^UVEWVX&vBx=h8Vk-7W;=k{tuSx-$}bcO#nI7XCc|T)@F2M6@Okr-5yu~Y)5PM=
zj`m>^-MMws>zk0$*S$88N=2GKiZ<8!N5}ALCWETRM*CkDiM;HKy!m465F>q?7)Ajv
zv)lKuW?+SOKX;*@zJML+J;@(L*mL+B&*vnyI))xx3xSkCXw3@%%E}b~K{hR5m1_{@
zI);iOnowv#E?nO*KYVwigt-gl``ki09t-)6KMW0ZwjaK+Sme+@C7_CjS=Y%082aKk
zNSxsMu~0)<CzCDu{R3fn%=n(osD1>}zVXBN2P>NqpD-H-`=asEcrxfj$uwi1VeBAK
z$OZ6i*N|5Fu}yQp^hIK&N<83~hnin{#+gt)o4yZ4SPtRcV~9k7dc~&Wsh}y+f45_p
z>w^>0DagI5ph};H|Ln5>vroJ3*1)J^bxzLcz*h5<&)7S=<{R+;KJ9x4R#T^kDe0n+
z8RU0TJVwybWWG}^Pg9Hq053?O(x3=NQ1Df;q7Z!m5n7&_NCPX921>vx;gae<-nGg<
zso350c7`8%AUk+kkaTGvSyGX=lmaq{q!TMyvzJ{-qyb-{RLK)*lLIBOEuS9DJ}@km
zAUpOwDnxA5&rc6OkR{^3ZK*uaekY9NQ{mW3c4%f3K5IA(WmjThq@)VBzd2A|x{VD%
zwbSS88=hDKo+NVl_nk-0r=V+i6L2Q_u6@OD2#Tb9!IepZK{QEa=bEfsNEX;2o0}tW
z9P-n6l@BVxW{E@P2`0p?%h*p_cSVAqw`fiAi+RDK<~yva;*@SkrEUeT$;|ZiZ4c*i
zeL9e-$3r9=mza5+S;mL*xlrmk-lN!L%j~dkem{@#EaI==p7+?7{C@vg)^%$tHH*~e
z>EXw;+vid==Z7}%pG{!?+CU~VeB>tY>8S)cBOG$^zGN~_hd<yn>OFK1?0NXL9I*Fw
z8`MBBD^z-L9MxNlu(XbW(2><~wNRwe2E4vS>Ht>5lY;BaX*kz*Z*2W5a{^L;gXabg
z+TwcCKJxMd_PXw|gY}aHtp;E0wUc%0<^ele!_Ei&n`r{qK%O_N;22a^$zhRDXdQPM
z6`*eXgpVMubALKJ1iD5k$YT)kuK3L7b8u#GMa%`jK>;x}b@=eqlw)2|iiRH>!9)+9
zsQ}fagFhBv3%A((z>fvfPGq8TW-yf;ek>d<Z5w1=yY=uPV-6j@H56*}y)6`~&d!bu
zE-ucdoS%ur<TZIe7Wo+`HM_VtI5In14Tav;*TB^K0?ZHYyv2M0K4h;2ruj+Vlm8!c
zZvrLBRi26FjmU_|HF95T%gkD`mae_4viHtLOSd*uT4)K;MkTRGVr_(w1PCZVw%P1y
z1P3q-xC}O9Gh-t#7_(R|z!;8K`8*8v^BGT#-#H%a_YTNDUNG3H_kI73$c(I|=@!g+
zua?MIZ^pg%zyH1n2M_W@!i9GwXNAclZe`zaMkXJNh5h1rRwoiMOyqp8mJ+Uz;U%&m
zQsHw%IIH-Vx=1*WvlQ}4|B0oVT`ih_dtW4=l!xfPL2E6jrEeotgvsXIWISfNH|A72
zQ<*5vL!TxRTx_8*Q9%x@+>Ne@APPk4AsuuaY2@R_!r`#_CX&B!_-Mk({XFzti{o}2
zrAok{s!q__@N8TIsbUoqdwfw{2wwZjsZ*zx<EiKI`}rPcZ_HJ1=U1wc)7JHx1-afj
zjdVVEv)ik=8_(h;6kq0fsrd4#!MHsHQV4Q6Y{duv=AnlkT6{iVfG?uH8SH82W4OpS
z;F~;u(c`=5Lr@64I`oL<N3`zb;L1UXx8OuL%<&+C1jb#EJ2))P4rhQUU+;NdC_*G;
zZknVW<d89Y!kGAGIIXB51VH>QY4<<a%#b5}1IZXXVwtuq#~z$bWDK{As7i56s<~Or
z3gxv8?{hUe#KcB$XB(2(bp)0h*^$`D$ZW2#(I%_He;9i4gY*unOH4sg>Iidhm4?yM
zI$F#M<Hly$K0e!1r`ar<mv$ic%+~7(>utJCl!q}wnWw*^K8f*bO9X+CQIb*(+!P#y
zeZ??nYYvBt=$}-BVx9gk3TUqageA2DMLr_Dmb&3*RzNC%+Y9!g=L}ZTla=Y~Co2=#
z@}XPKWlF2A0mgdcmRoMQGX^23Rm@!fhR2RrQ4rEd)H?oCLxbbPL*--8sMl92BZaYn
z_WFI<_(&w>Cf08U`n)&crXnNp%*~!ImAdOQz~QeAy$g^);->#?%%E1LK^_pYh9!o$
zYId?`=L^oVKi>o%G(_G&maqo~Jk2I>1;h@7&SN_?9o5-+7^2rb4bcrQnR%4+`YAm%
z>pn}=`G1m`Xzc&madtAD0E6JcQRg*w7y?T&50z~9q)H^A<5zJ^vwjxaek+w)uMQ6n
zRMQUCzP#!+hf)t-{WJeexl$>1-{&EyaGa=HsSFKO{gb6?rCdy_w|Bn@Ep7+DnYgrP
zKgcpupEv&gx}i*?)4F+6K=h~=o?dnwa^x`!!L|L?#Om<!a+^@x3E^vMy85O5LcOmx
zZ##ZGdDD@D5G--N&HhPo%-W`Y$xVIO_g+ilW#?N7dm36gdimNj-y2P1bdA~l!k7AW
zwH8-jS?Bk1gLmj`>KCl(!y1k}KN)?(F9sw|L%fR99q(<`dhb~_<DKS50Jf_b*E5v<
zJsYVggfVCWid2r{w^_uJ)F$jzG3RU6jS?3y7zC}ZbV<5X0#s}L3rQ5fb#IribI3JQ
zuOp)k+=ru?A&}6ap$yp5cpiiAVKyX)QXh^bV@_pktm0tDEfn0g+Q%{M3+W`hY7@zH
z9Hl|>u(83;mQUc|K|NS{Ta8Cz$>Cu%8p~4ECis5aXhYXFs^c<Y2}GZSC+TTWIS!az
z@St3Sqo&NbmZ^d9*>6AS5U6_ss~8Ue6{t6iz}g!u>?-@d56j0s+>0;l?V$*6FHc=<
zWNK>O1JFP_dTv!{uK>gKV9q-9&-QGc%)J9`A}SAOIK6n!rloNZ-gF!QE6B?XzW;d7
zJ-A4O46XuOjD_Z1fVR;{6Pil+7tN2<jLro(?}nkgOTw{+{*&z>sr`>{^U7Soaz|XF
zFbA*S@D$H{5PRk{B1O-u3!U>4lQA+f_d;G`bGNAmtuLMPLH=Ni&m?bfji}|`kd#*7
zT5L|s9_N*@(pral1$?aTg4fH>f)CT!n`lDwlH|A8ZO9qRyS;{eQH{J*&rbtR<X|vq
zD%hhUlZTLeeG3uM9{TmRn3Et{OqEJglvj+mG^E_1>>C8tqnYZW*o-!f=zaIyw-`2-
z4hI3*#|;`1)`ORzrN!7kxu$Et0-cEv1K(n{uJ`d&I~_~KPv_NwI3%>q<L7l#dRq%N
z=%E&U1!LROt<N%BW1nuFRNBi`3L@voNEbl<wPq1noXK_MVTII7YBi`?zs*gP!^37B
zCLZ+RyVt4nowuup@Q))E8qWq*>Q~015$Iq-If%sVSZ2en{5tz`wDUsM?EIx_nx>A(
zG7x?ZT9Sgyu?Tuj-#|~NPARhs%}@^uzb%}b=+JzOjU~})>6pOLMTd?b$t@x$*Blu>
z=;dly^Ymg12Zu*Y_YeZhte>&e#}ZI-Mial*nwn0$FgU(1OiWL;e(eSAHeM|-p7cBG
zA5TIjmnxTRlQoB%5RiC48M_`ZOZ*#(N-HKWUTIFm-=%(-&1V1UXg3{SaNNF{Z8Q!r
zaj~k^mR`}Zw!Cb7+80OSF($yh-4%KVGB<q$7-NDAiM#>6SQs@<o<|aZ6UoX=G#yW_
z*IbX5W;Aa^9*(4-C+7o7MAG+E2<Q$uD|X3u9n*6mbAoTsBS7i`)|$6qm*YZ2t6rUJ
zHkX!~&0Hc9jYbmPBN_TpvLrQOJA9e-JvIv7@ULLwPxgwIRlI(A7?eMfyc_eh0r0;&
zi3*=1!^;aNPcEE<7rvL{kqTb5K2xnKRjtkt7TSb`T_+Zx_4m1*uGT+?n2o+K)nETX
z<WD(_uWRd7*T!3*XlK5mRO79%jxNZz^NU5j;K?X&0xVYn%~t_p#7|L^-5pd3Vb36E
zU`jb*1Z~Z1uvV50bWSQR{5UB4de8FR+gmr5majW^9RkSlQk_TelE&_!w06(j-P`MY
zgirBtJcNhUBK)HJ1JVHd;jXV;6<JiTL;Y7T*U^rCU@fA5H02<Zo^U3*BU~TaHo0f_
zTLc(w?)Gu`cJCE?dvnNUJ2Du}=SMs5VIT3<zp+>5$_tzY%!e4D)mCqudV8HGW7Wag
z@rg3}%n@ie_ehipLw8$GC>kRU(Bp8w%;_<B!2Q~#i~~gmS&5k376qu@n1GED#tb|$
zFKV)lJuE^`)rLifU%~)B#TF)vj38>>g(Zz&J_)8rAca#v(vQ!T5|+Gp6X0lN-yubs
z#ZnUHa61-91*w!9>Ab}oUC5m%?1!>`sOcAvA(uxy8nKWo2=(M*rWL_q%thWGC_uY+
z#o-6E`!28uadnQ#75Km3l$gUQ2zlvzHj4^I$i(9UG0W_n1-}9lQ8wY&cEpM#QmHhP
z4J8uT#M7x1YCuO|!cS%pXBsvW8TKY(Ip|C}hWtc{1d|luzNCZGyzgfQVX#jR4zlF#
zpq|&?1&747x&%)HXx3Yom}^zW9^((d9oMc?zU++oz?@-@^vvR(=AyIrBzP-Vjl*DQ
zB_<cIJ*Pgy>R(dJ%l)q1t>cASV0(h|g13T`sbiVs<brXfE+CdpC*05K;$dt8Px~;e
z`?`p=OsmypV<y%*^GV7ARKY#W1=f_D8hJJ?EMF?Zy6YY9ct<pst%uDM9zp!n!pN}7
z4o>(1!0M7P*sz<8%r%>X9=%i{WJX(^s-s$_=U<O?Y%qpYXz0AihO%I=PRR*z!EsTs
z_PAHyoccOhWL$Qut(K`5n7>?m2pdbU^;eel4J6;o-ry(BUq~w}9H}|5_oRVMvfp@V
zCUH7}zswS8Sv1*sBWcsf@Dgfss>yIJXQdAN2K>XZQ#S(WZB%VMZD(@f$<F7k<n^)G
z^+_u|HPym{XrMJUmEM7)Pr*y~(qWj)0mygH!<LLR87s02RG|=Uk?d=G0k8_VYYq|z
z>*65&(&)mo&Z*~vX0}1HJ^pJ`lTfm`WOpwL(r$LcG^fO)Xn|~84GKw*_<JASdJi7W
z^<kSHC6^7^Iv=q1zFTcwBJire04quDnrto&PF2-c@_F`EfyX)c147aV*VN<YbOIUQ
zALgJKP=&9PJx+n6`G@_$5)xIHx^5q+)nR`~rc!Yi?g$XQ@dwa!<3x|)%+T<J4}05c
zeC%k{Igw1BaH2=Y#>saHbFoRHxFMS@RjxD*gDt3JB8B(>%ZdU&>&7FI5hx+y#=<85
z=H%Rb+KAkeOx_YP((`jCJ&xloJ)1x2>l4PC1rIO4?-S7-mx_m%mI;p#`^U*N`4kuH
z5x=-V0*VDr1{S_x7YEr#P4jTEWR$Dt)XKvTKa3ihiTKd)YBah!JOl?q<vtvZ-fI+!
zOLtxra1XQ&%{f$`+v)n$)Wk$794<{vOik6(_Ch#(c5-TZ;7b$zas|@m1>`iigW~P|
zW!CiMVi75@5XS>zMd$C4jtk|DFwkRT#xMNOGxPK01l6Oq)%jsis`$%9y)mojcXZ|9
z&Y#;$i`S6W|A|i*UhC07W*xZXv4?yp=2ncp7tBR`;foI*XENGLKJz1nKOKEx34{M9
zSnRo%rgFK|HLm;8T=kZ2W|)f(JA6{0v~t#f9B!%RUh2Bnu!)!E*1Fnn%9)J8#V_bR
zBZ#ElmNtiK?U6`AfTBVPZuSl+!31H-lYJU6lrAsJRuG~99%zSGO$dfU!rz{#<4y>C
z^)V~CT5k~ZKMK!-2bFp&@qeSfnzY91a9Fay;WBP`Z#?o1IMqDzo}}SU&m7k1|M1MT
zYb4+E$OxQj;9n4lc=?=(2bsHS4%YP7gg&O?3bj?>r^fZbH-xq<cz}SGWms(&fY_1$
z+A|c>agD#8a3?ymQi)tT$AkJdZ7cCvQJ8-*4)j>TsNlgC2+P5hW()iR6WlNXcL`uE
z)TJv6ko)zCDF?IUtynOxx?LeQ)T(P1*kgxr4ZQ%Ep;=+GxZh=?HOT_O(ynK`ChvpJ
z@Oir718uHqE(KrOAFp&i7`=q-Xt{4qAyaC3dTw|anM=p3^x{hUigbRSN{8<~G%=x!
ziaKB-S1A#!gZ$sP&$bh$`QGX2>2kq{fsr+gXe<K<?L;OP_3p&k;i1`cxEeMrI}%4a
zZ=hEMR3I3F5@pJaMd4cl<`$MdnDgL?Wmr}uZt}iF_cqszM{KlVhUK<jP`P}bHYVBD
zf)P}~{deY!@uT4H)$s6KK^1Mdr<I3&shFR~pum}!I8=exmI>b($1s31;Jgw`yKY2V
z@V<oDjVkgC(zPX>NN@xai8MTG<nFM=7=>SUP?IAZv7<KZJkfMGK?`IeoQB+~a1xgy
zaab)fnW!OmBH1hNjATsRo|(Y`?sOd7nXq|hObwRM{X|J`DWg%RxCI*W6=dsa1B*Q$
zu<zBL!YmV_G~1HzdB*`t8B*M1ame7X-ZJ1<$2bsoQ9>8c!SdGNRxB|M9@1a~s=L~E
z0+)A(5lh-u7)}q#SC!^OulIWY#M^8PfxD&opv`*xjW?s_%9#si7DgLL!FXpRosQgz
z^ofnph0dF=x#pU8pLt_+w6P#pqwC&P^%geG7RSd$F&Va|{4=wb+4;O~9b45*HKzaO
z5&W#HVzH4)eauzKkEJrBg`zsg(?8dMUaIdBY~;+dve7?|NL&ZL1nX!O>q+zYd9joG
zUN=npB)U0?$<VsF3`QKvrBV}#b{%Ozm}xr1Vo_pI+YX5~vK)96S`aEG#lPc0f7HBT
ze4T%M>7%ILv||*zWBlWfBFApOQS|7l`ZwTWX7jlt^m4($qVB0{QJ=V!xR)M`yZ4wg
z+SAr?48=p%sn_`|)CL^9pmQu7J<)WZ5i&%zY+Id8$D(2T7s<7~FZ(Dz9?8ChA9rU_
znDRC%Wgi1hy832ACjj<6PCDEE-i0na0d&0>3xp*igL+?x?mE8@S|t2PY+}uSUUoc-
z7g|7TT(6|Xe{0aT)1a0N_?sP&z!$7n;(UQAoCnki$Gfc8B9+28iCYC;NOVE4Wf`}A
zfK0?zs#ZHNfq}}Xh!d^U>ciFHp~CfrA$-<rm8cU@nIb}I4j`7*LK@?;VTGgWwFvcq
zu0pbWbbg*l7x;!mmBbYo31~N}?uS1S{9@zrWZ3EaY&2}46B_Td)mM=_a}m7j3+R`S
z6D=5D41MvePke1>+zX1~Y0YxTqAHejZ?(Njx`tl2IM>a~ZfY$JR|I-)B&<TgN{Dxd
zrT(h7-@E>Y2E7R|Bk<|P>=76~i+nG9I-ao8X{b=p3Yh%y-hS`8dT(=fw#hp!%T6pE
zIkM!tag>7x!JA$-p6z^F!;_lIj`Iuo#ml9^!4h8>WHT`~H8qyN4qv?*JP6+8*`M23
zUn5eLYLy<i!oLaM2C$$MPe(2)$XX`V+{E8bkr>9)wQ2EawaFZ<^y}-(w5s#0Mj8s<
zGhxFt--HU%zkYmX-coPZK7hEpm({iNtp}OWH8Q%G2v-cy;#aYHvzlJKLc{vDz<NdE
z9c&Ruq*fhb1@tF@xz02lJ?DjhQIm4H5GP9I>m0T=s=ssSI#_OcK>g$g8<^4!oYJPI
z&bD6He5SLB@J>D9dRx;^ay@DvQ}T|B(2Y>jtCyROY{&@4AwJq|13=moXiT6Q&<WP|
z)D7#R>eLJoYZ10L`SMD-!oBZhM`?p;<AvIt&7skr$+fpPu)4acd9BXBR1C5vy@)Se
zH55+ux<@rtTg=qjdzoOjHBVzy*i^9JE#M*gypc}`hG!9IblAMVCTZpn>V|0{go*YV
z9uV4Y$q_<L6k#05!BU^JtZt{+FEw0iuPVa72Yu$0fH1#GpY43PEKZ|q_ZTffo#lJh
z)UQ%{5dmoKN_U|1!|r&kD<qh|a*mCbJAaZIILAl6d+4|5{dR63b?CdCQ(JhV5azT9
zS>RS=B!361ec(;Cu8Y2WdNzn@EUl9kON2v#fWQ2)@rg%938MP;)fQv{j)ta0h!j~t
zlgOvWf4OUgEP08y@b@6nb>Mdyv5MOE1TG!7;;CLEY+FBNgw*)l4VHcUwnV}h?<TSC
z{8B1C-<%u(vmF^w1Cz~#bB9b5exswKhtnC9vYn|{a%!eHTvJF?4`=>!3%Gk+<toQ-
zyX`o<4I<EM*M>@!T&mjIzU_D==cmW!9qRl*p<=^f9464hfNzbx3Ca(*FlgKPltSqp
zHHeCE0|WUy7~&i2dB=^VMu!XFUd{CZXd2ZZZch~kMpH2~Q$fjCgqtYSu436$k;Ef4
znod=chIw99u<w6|-0kV{I9IGca|ShxyxIl6xP-OCNzlV<HOP=LmvYy^qq)B{D^o=<
z)nt{%bkv1b`#5W;kX}Q2iy{uY^CY*8nFB2{5slhNxdJ`_e|uJY@5eU1rQF*~w+_r0
zd_I+`lt<t@k5&o0)YX2`cq7K6&8ifhe^FtPvB_dr0UD?0X;GMSs3_r=>>m-R=pO(?
zPhbR3kL-^`J_K6z4JM@Nd>Hw*BM~?;T>I1WF-Ve4I2S9~n?5noR5v9JJCiOgRi}OZ
z0rUoy%J@*{yL>2yhY!Ch@5Bms%J#+CrKKy{k-X&=lkNz@gRn07j~B-p+&0MPAmSIv
zq%@7<6cDf2zz+Rv8`SFT6%EMLGN6|W&^!3vEkyq!!JuDFwSs_O2~Jhn!*Fy?J~yHd
zu~oBHCX1MgQZ{4FD(x|iZREL0$Zm(#*+fyFE5%=(gmig2=63J-VcAWk-0}~*ZMnE?
zhLf*`ejzEc!EZvl(2%%s<|1ZA7+_6_A4i|?et3VeAd3nJOI#0q)1Lvs9X#+ZK##<U
z;h9`fBq}0RP9br^sK^RX(Rc4wx#G}J@tuXjJN?h={PFH)P~7mRZTF7g-YuW?xIbds
z#RoS1+to(`%}Vo6_?NnRD9LZcZ|v@@`QP8^X6ltM7#tidKG1mBze>0!PTmGAv6kKe
za053(W6w$vK2JcjseKhmVZalVc87pEqTcSVd^)lqh7h7C;8-w(AO<fWKIrbUM_X-w
zAo{B31TjG08r}$AY45>H=<6Qu(H&*o_<HdE?O;nA!7J_HmCfK4j34>!o#VF`ucD=+
z3{0Uwl++>7E)A$$U2%5HN?4Vba92oJmhOP*i1EJns|DYDJNV{(S9)wuFzURo+kFpj
z@7t`$TXx~;^5Cf3mEhcO2ET0YdE5&240Gb_F((g)-nl0ad0F$a$LwjtK%b<$$6b5O
z@nz0lE!fAtG3mQf>l>|ge=+SluN%Q;+rfu7_r22h3~>nUCH-sQ^5%Vyc=2b18QQ^D
z-UxPPZ@5|C_x`??L>3A5?;`7aj~cbj-RpbLx%a(r^-FE{z5bpP>AUpmJ2!)!p&XHZ
z`tQ}_>V2YnpC?6xz)8IhIFwc<cn|<#_=I?vslFq>Q>lz{h}uKb8`+-sFz`npF%)1e
zaJ13?S^+tE993y{j%2{Au1+%IY3{7uLnu^JCjs=p_I&5O9*Oo2PxOuMD(HI|wXwb9
z-L%ZvhOTh{)(Y}R;EqH{r$VPE2s1Q1gCKK=B3<7<lC>5*j`q^uYPO-E+KFW9Gf3x9
z^WJm2?I2l!gCA}YQm~E}@_JJva$i@QP)nP$Nav90d|1D2O>J!lVPnIe2b|P+v&}WB
zQ0wUPkX*J<K{GUNja%CPLpT|b@jzmD?2{pdA%a{EEG!hlY_Ho4C|ZSfLY0sh18El}
zP12RupF|LL3`+2u!e+?{hvPNupLfi(I$+PX+q3tM<?>IU!kYaZaLr5xbXZLy83h6>
z9HVR)B`BR`zhPLl@%F5JK&b=wj?K?6w|)nX1aZDUSXGZteLnKgg}^ydwJn@zfiFj0
ziqA^WF9LikIzq|{o)0h%aTh=65cn7T0`gg3&3{5;eKK|Ww?Juxi$k5S6^r5L<Y8bP
zzHn~Yo2X>$6;Z4U*iUQM!mlWCtz{Q0m0Z>|+^{u%hrUaT{E+5Pox0gB7KVL34Y((t
zhrE?e6&l%F&UrBRN)$6IjtpN-pZ3#M*fq>-4uKH1HLh>q^xt~bRR<14h9H)AQ<{70
zhx7Ve^0}T?L_5Av55V41?)TVL$hVkI(UUXgNdJP*cL)N$5~mOt7k|}Bl0vPIBHv4u
zuz=(y7gK~H3%N*CUaP@_DSboE526H@?kDQ;z_jff=^;vWm!b$SqG<S_jXH2`REbL_
zZ^#WK%e4>q;gdCp02jRB60M-xNMnsqB9o2A%LZkc&CnM@-xRLZ!JNyCmx@pm6fq+H
z&jNbA2yoV&0yv>t6aGcqx6p!Q<G};;oVY5m<QWM7IRbroZxlI(S|3imxX4c4vF8a6
zc2^b@*kVAfNLCZ0bY$V%0TS^|bk`!-QJrBy7om@EJSuRGy9k{R<*bR?{8Bv~MZ`AE
zTwyzEO<GZ#^$YNWYCW0S(tK^g%7v|wLd?mJB;9I0XCHvw3(iId=0<9!nowqKWbS}C
zF_{PKT)yfiM<_6kSm746GzaoYSHW*>U~GH<apGIp8y_18BX(W6NnC|KN1a#MUy3UO
z+EDpoBbu}jpq+&IkjK!KBBJV-vbe#?7h-S?N>#oD*L%~MO3U{S56u;eb3-s);<eIK
zj%mi@U#g_iRx(z|*$LyHXJ%&jJ*c)g2WLM18PhoD?W?&Q!#41)K7Ih7`BCINSjNmx
zkYncTN$M($XE$5{4sTwj_@0Lp=}P^euO3!yS|>YOerVsn{EK>-x28ArCki3l?FS}q
zL<@!Jh98W0_uZW*f-p+lWg=q+ZC2D3+<>f*p8roEE0dT{ytOKJDk!rEao&H6n2H!~
zg;WQ0knTXf_*np@S%kidFsFSur8j^mz#E{AM9xnQwpqIp88UEU6R8%@Sdq7<!X+a+
zfbxM)ZlY%@1nY=6J^yPo8lG6`e8=l<c_4?9Y{{6PM-->qOp(#%LzO!nvt_5xWsT%=
z8*O*C#b<isK0Xm1gGT{X__?qcRzOp|dO@W3*LAf>Tuodb8eeIQ1jj`5NidT|{Wz9}
zuf)V+S%%$7=ONM~fz=r@kO$=0%$YMY$4*SbGTwKjaxi6<;n_vL1s-1IGk5Gf@uz%B
zO`kb~>ScI#SPrMIxn@cqrf|Q0cv!cB<1=M8CdXye4itR+*MftN(Qc$8f;fLItYN^T
zKWprj?obdzQv&p{HM;0)B-AK^;sy>m&T|~t!|70SXrNLlA84`AovKt15cifUNSB3A
zR4?~Q%`v#aD)qW3oK&9@_Zqm;BJn<|?yb%os630e&Dm;-pUY0{OF=z=(A(a6(uv3U
z&Rj_#j7SK_)rB*#UZD0mcps5qdq#n}dY8YTI$K;&s@+>qo%ec><t-?r5xVpR1sNLy
z4GRPEem)=3Iqv|z_azLD9*2#9;^#TSdwSzuS9O+T(k6APdPy9)tS+`kp?rl&3w-T`
zc0wfYz$BoTdbTZWXB2waLR8`Hy*(24PTL6m$ClClk1ebf$vn1Bm1A#155o=@vK}>T
z_dft`LX%G1cB@s_j-Nj5?>T&d&NkO<jYJa$#+_SyLwgG;^z_&GA3x$a5QB1+*pVlo
z0qy0>BE)kxs8eSw58`-$mozS;UM;xiuL(r`D6P;Zzd}b(y-GYw^s;Buz_cNBBZVYN
zYux@KJUy@g-0a~|%UN4v@4T(=67zX=GMnd0m{)3M`dJHv{4-~`T^K<?#upRmT&lCc
z?IV+mlRRHe*9P3#0Sh4<UL=L@g0lMV&O2?c#pt+cPF}gN5Nr4gs1bG>08#4F{!h&G
z$3u1Gusi{+xz5IeC^~e9%ZKbJwiyzBfGmFH(-P{1vC;UD7myB_3@<!jTQ(OP`~{bF
z+F#z)1U)DS_YhLmQ_nhe>e#VkN3(ci9N~~hITuG#4g$Qh__y+Nn=sLC6JmUe9j0G{
z>W!U0R4bi798MG?k!%K*gK!KUH!I$8B$^6GW4Z77L)-miQ%_2>n_f##O8Z(5<B!J-
zqDN0k_PK|!c7NoE<lw2bB0$gtV}vpt7!uEh1zQ-Hb#iaW0D;pS9Kw-5deG~3&1GG{
z(H!hW2W!K7dp$aORq2swcQYgVoqklMBvQUyX1sjZ$fi*S{*uP8^Jg+RTi%xmL)_ky
z`B?Wo%)6iI@B-6?@n5P-1ID0h@o-@!)C81W-Nl3%8Loa^Ex?4xk&LPoTcY(;+dNsW
zj{~JI5+Q0Jz-+25!Cctuv=@-6p6g0BNQ<S`dDP)y8Cf^EVq~L-YiCunO)et-pVuEq
zJT1vTWwX04Z@a9%P}b3J-_%?+7ZXiNCE8;aVYlc}20{q&64`yg3YXzBe&MFFD*1Vv
zkQICw(!^oU(RdOy!q^kpU^M)LbMaWlw6hsEiF|Kx4a;Lbi>6VECpdL!_}yi~4(1Vw
zp3=#Pjg)W5^OV6I<(S;D_vmfx8odv=E(Aq<k%=5`VatS5pB0M_*OCsCxEa|Lvc4%N
zn*n<sLDn}1Oe(WG#fNGM+mt&X#HXMBYv_eO%4z~yss<-Xep74fDa-U936c^iNb{mv
zC)4scQ~wC7ucYpe8>TaTQd5)r+P|iEzIiGFUy9(Rm$W|-yre$F8%}6)x2`|#=KcGe
z<`Mu;03Mri@B(bfXOSlmelFvA%rCM%!0JHCA)c}&5Pt@<IY|Bm_|SMl<5_SuyA|y#
zyLC-_sN(@SI~|<xGKKu$-6ANNsE%O3Xk}Zw(_Z$|bv+JxyBQ?->%l8q5U&OhAO+dS
zvQXJg<%?xNR$n$v$un6CKIILiH?I3$>C<mcf@=A^)jk-7i$;5Y6m+)Z9!I1(C9Q?v
z`1e*(cdxUx0cUjmGT4zQ3LHUiaK@*!(3lYUbkUGjYi;X(v?VhG_S;On<RfIjwXZMg
zWx@2dA)4Xy0~@uEfR^3Koq$h)@1TD#-`c-+aHZ?>7UIxLJ|A%=lfB-lwf<x8@VtNm
zo<nj0O3!`^+)1ZR<E4FP*8LM&pZ*2lgx?2#rv%B2i>q2*>f3q+Xuy#}ZtB}I8}(`n
z=us;>K>d1qSQxFq1r%<ZoJ^<ne?q_Kt}{0i>ut#fXix8WHDmRGdcux18i|Ddk6I4c
zs+1Ev7qgv|dNSqwypPqM^l8F*{|wi4MAkKB=Sk`P_2~VJ#Z$zu_vUN4GP1%w`we=l
zIZNUrGtj-|efEh8Fx8qbE8%IJz}y2@kTQ~iAg&-SSZ&ocFXjUdI5Ek}@UX9_>OAT1
zAtb{UT32J|YU{Gyx%;-DKlBHJj>DY`2n6l|iy@wh8d`L%A1c{8Px)V_(%d7{4r$6G
zv^zgHg3V6`zxd2vfDDp=Y{9>${#|{EdSj`yN!_aWsdv2_x(WIr!HblOJA!-ELf||k
zCG}}WJ)CphWt6**Mi-{>5sU5kSoZGe{N9}FGO<`{8FlSZ+<tnmk7e(k&hN>Z*EC?A
z9-CyCmzNn#(3QG5Wt>H>^4)tor4ioepX2On8j=wVv9K62++=ROSE+4*W8Lm<g5rnX
z?=J5`7J4gx_3v?CUposvuIOw5C9sd7HgrjC(Vb{O+*yilchC0fZSNd$TtP5e55#&M
z*}2E}>7uet9_{Wz@C<vpspke!k79qwt&&<o@*_vawWSy3kJ{_u;*7lQMZa9WR>tmv
zKY}}ENIKRXUTBRS57&GR9!@8bf$A<)4SZwh-B<(@;EDX%=R5lpM8Ch*%Zd;O7-?!}
zLJlv%hbRM*3j5kU#Y$0u!#(bR-e?uygB}C!fSxG;^J@r%WL(wF+3edM^gH$>=_8r+
zC;c-IzU?33)YU~d>H@Hjchot*@0ITdYk1z?eL4+3|BJEM^EjlPEq=wiFA=QsoL&RZ
z`=S?@-u5T~K5^#!o@Y0M#Yr(Q@^bPV;G4RqEyD)AtH9e+k3Mw(%$8Ox(XVQ$1zjOL
zj2Kk6!=Z;JAN6Oc%)QaGNI7SpT}?P^@#JLZSI?h653MD2lIM%X^2kV8eLfjqa}uj(
zkxe*$HhOO+HQD(t?&2-&X!JbqDHicQv}bGmZ4K{pGkmChe=o|KS~r0=qxS}Wi76&V
z5w=8mT`M;TxH;hv1@847Jc-{?|M~HqPpHlM_&5USMl0ofzEU0?o|+mNG1S=T^1(&8
z&0@-HHO|B4;=$$7F=dP(-_I~Kh53BBGKvHf<Ky+<ZBXXHU)%v75se|KJ|fTy`N_$l
z!E{Pyb3=Hn^;CLr2z9;-xKZD>p`YsA<NKs?Et4C$qpRhVel>N!I8zIYdEiR!>GeX8
z5AJEq%sj|_;EsWyeGaW*G}Y#TDx4LCne}*Q=sO8@fEo|q${Ox$1#=&%P%x9x;>hgm
zYA_Sh%G@lx;0VbJ1X5<nz?QAH)qe^;*_TiWpddOOO=D8<sGk>)`t#t&pp0hnMR{$=
z){Kdegp^GEqUn$5y;>X%+i5x)0}A5|c#$!q{uI9w7Rw>yfd(hdd^i$k;o*W8-gx7U
z>*p3uiUxS}@35qAS*{`DG&}OvN4)cmg_mD_<j7c~F?Qt0)xEtmZbDbRHP_vphB2+k
z=O0w_Z2hO;S`Jn5$%X%f)@wCc$B&G9=jON6e*T%8DkW%0SP*}28;wf~vc4Uxr^A4s
zQL(C1x6j-nK(b`GsMKfA^}j5tCbT+YT-Qonn%OD1Q>n;N@(JJy#@|3+k3`a)|D28-
zDWuXUs4!J2Pfb=TllY%PK?T@d7b4MYrn8k{kp!D?uO$lX-;UA=$>j6K$H!rv9z>a9
z|389L?^o7O|1>0O_13nJ|JrX=O5`PtA1bJ*a224TUiXRw(tuOPTcKy79%lkie@STY
z*USj9`e+?$Fy9Ld{srU4>VN!!v6_y>?d#oY=Ygtwy&aFG2RLEd99O7ng%1SB*H$51
zibwCyLl(S08plH@`m(tu!;kydaNt?&8Jq8tjo^C|*+P$A49!X<3+=cE9lj_1YkQLC
zkF)c%r9B?{Y)*JC#O61&KqvKGfJ^&Ns12NvOa2wrC*5x9hxNAaAh`aj@ZfrH=)<9p
zhd$Z0B9YT1KxoVgOBsI0CouY$2Qc$eE`E<a?I6IbyZ4IXz#C*|dn_)51ZkVZsJEwM
z^YEP|uMknQ)!o50;f+K4uAak*c%wnCxITLbPT|qRb8^&ZkOgkc9fm(d;?QhejvDbq
zG}@R&0j6m5&}{I&*+aN5et5PKjecTQeqi|HkM~j3M|(O&Z^a<G^?e&!k+-^pZ`<qb
zxAd3wzkzq;!J$`=Bnd6l16V&;B_tG@<#wR)<y!ICMXIAHPLN&HE(>&0+VhBP!t$~y
zDr0|TEsObwN(&-rLW-6dAKz5Y1&4)S(&Y=x#*Fgl2VH_H0MY-znf%~}f8<>g%DEvZ
z;oeF7Fx;7+Y=o^%@~Lw*4bOf$)EYt}4#HLn#cvSYyO;$7qa@amc?Xy&jc`qrsE0y^
z0CW-{E4~D}C%%-5vw(a6J?@qv_-4Y2R?78yxe^N}l8u2k!7dm*6ip;!2l@6}eEDT0
zxWzdH_`Y$Vkp#Pt7{*y#9!{v@eNh)&5uS?7{J=+kKbT>Xaj;Zw^gi-Qz$Z^Xp`IoA
zi_dxyg{yis;%&g{poCX}FRWjh1RgIZFUVy}`iU-LLTtV|{^{1k^ZFdmuuBsB%F|v`
zp3fCRb^=amb)e};6_!sg7S+ftM@B{)0|RcVz(VB6(vuiSJJI}7#4MSPorI}0Ts&Qj
zqz_jr6*D~PhMnW&1f$Vo{pp3@kC2H(HIlS!iJ^_Gl%Yz^jf}_GB%5|4>C&myXyTkC
zG(^+4Kf79QfBnRX6XEde7&2GrV6LOW=WYZ4ZlaplG0d<nwu_*ajZ1(8gi>h0vTE)2
zrtZQ`&!?tyf#9b+FF5D~)`NhyQ>nHsvkIE6f%+-^p|_Y@%>$F?tHQrxjlM>JE%B(@
z1Ls;)pLlGIwsh&6TE6q+3MN$$t47PBcv*&C)yJe759ftuk^|TuU)~anCQwZVwPX@t
zSdooBRVbuVK$0IrZ{w~VMmA#GOpXAqk=kG@I_!pRcO7XTk;Vxy4gZBbk>I=H38aZ+
zf+-h`#*i*B!tEn?20`Ru*R^YA(zRoP9k8@xC_-x1xIrwQ9_PUP7GwqQX(i9}&eD&N
ztDEZ_oU(X>Q?bejwv2~9{Nh=D*{pWkS9$t)1U0!ggOlg$m%BALJ?zD}yHE(hu1{}a
zt&<l!2+jGm$n*I!;NVAs{?VK~hOmmX;`0Whbxv_cXQ_ZM%L?9-h`41pZJB*-r9*$X
zvqIY?awv#`UHtN}%r(cW<)#%aHbdHF5~miFlB*>m4?f31L5-(@Ddl5NJ;LY#b;NCS
zSDX=}(a%{1G8Nb{<D?n0t?9Tq5*-_hj+pUh_mZsj_WlQwR+w>I$4_)DZXWJE9R)ME
z&c@MpXA57)FTsbrMZ0_EQLuxSoh*)y7L#^taAKzP%cYr#!JB*8;d*=NiNVrLZKgCh
zaeeS9tgWYi`1J3ppHW{6-HEY(SLnY17pxNPEqhhPxDUiBkt;-=&`)cBAMB4dHRDW_
zIqHb#BM~J+E_9M?qF3mxwf7lmL5b3H33KQ8>P`z7bqQ_q`xf}wjr~FUK++UuR?*Hu
zpkqqj2hoQ1VB_~sG=Br>L!$9QF&0CPkgQ=R;)uC5a=EA#ixrCTC@y!e=W>RPtZQ-q
zda;1(cL(!6bpBxmE?&{XR52TgjKk(^)el8&%ltl>@<_Hg1^0;=)3T$7>Q)rxjlQt6
zwZOMs(%XC?m{j8j_uO-j%8j9hkYzrXUa5-_3c$xuywbGb>o%5C_fU$CEJ8pAUWBd!
z8~UOQ5QoF7nu3WZ%mBVQs-6wj;+$dzglY#yP{<$&8=3(v?)-5z_x@<~{kf`ICQk1B
zX(ls2Pp{eedAi&7_O;ZKdmqWv`=sQ#3gMQWx9Laln#AGT&>e0<tNs?@o<mAlBk)d5
zO?=2jX}ryqr<X4ESXiu{qC+dYG-1*!Q){O5O5N{1q6+eFT*=&Ln_e5Hr(a*8%cIE5
zYI0#ALdoU9?4-|YOlGf`9UKT-zCa_wJ0&608XBB+tL>^gJ2+%XaSopDUJqLXg9n}!
zZ0JF`{teoi)F%E9aqnK93^%%Q=0;<9e(rEzOVZ?Wvk4_T6z|QZ)I#olkL(<tn;#Cg
z5$5Z5ewAN<9|0A?w_gXoO);Y~@SN?SUIm6^1w&tG(V++<&#ZhjOAAjV{1BC2xEY2_
ziZvWZX1ep;bC(506G3kpqt*0Zr>mnzdn1x@n+{>7T;|r9K{lq5^x$^}(@5-FDo=Wz
zx#`C>I{n^kF*7ibDb8JZH-92_4387=%4KdH1XUiJFBImFEl*EZ?Z~@>REB*c|F;GG
z(iS*`n^BVqUYLAcVl41z#7{mTQE-=Pay}6B?lQIU9{LY0C$p!pum}wRiNV-V$Fkb`
zsA1<2-)`ErSupGv2Rf!?YVY$;f0WBf))b*gIHb<T7MUVpjJ{yo2l>ZIejLcF_&6Jp
zbDh71!lV08x0%`n{V39I3O^)t^H4WNt|%(M0%ET<rQ}xI$YpNjtbfdj%b@q{9=(7m
zooEhEi!_>+YNcUcG!YaFJ1x!I>nBgrsS|(X61Kcg>>4Leu5aSdkC~Mak+hy|z1<NT
zu|=n#w2(KC;qWPLjm@+rFEn##=%>ApP9L|38@t~Cy+3m&{{vv+9I&I7&WnzKFTh(E
zd#nH;5Bkvo(0#l}d4_93Q=pdi-evrU)~^C*;%WJ%jDz20R9|8BOJpX><VJ>vid5}{
zQ5@CH&XgmO%IruZVmOi55jtrdi6QbJ(ioYA&t!Qfi{MgJ!9x<y;?VF&E`tn5tf?7M
zTTXUxs4;mU8Oz34CJ!pp;h|c&7<Wl|Qt^mck2$tAbeeuIr-#B|JnCj7p0c7yEgmnH
zYeU0Oq{8JQjs}tkCL2S8Sx0Dw7aujm`q652M{WpmQJQj)QeW(<QnzVg;_ZjEtg^<B
z&2@e9@5BQa!Yfb0_TnAB<A}bz7L9JorD*i;U!qTK&<7a)eE$ypTpM%N07vNiuo6e%
z&49Q$-W+@4F7RuhaM0gMA_gpVs(5*66pR7shYmPUkNd{_fnp)Kk{%mdU>0fSoSv?a
zW{aJh?X)_dw(a<*+8oT=Z|AoCskr^5&)*`@n~9S7h$NuSk45i-=L783pL)=DynFCd
z2~_aZG?{v>0r*5wt|EyF%K93iK)oQQVbW*N?7!ewrq3QaWT-9U(4n(w9#4LUTlFNj
zodwn=E*katiQ~_G?(q}xI*&TtFk9lla47NgAE|#*pTRdDfp&A9SdbWy|KtYzfACSO
z{3l-2|9hl_zqCl&e{Bq3JDeU%*{)qVR%zU_<FMIXjaZrO;Og8CUQwU4(v#_t>qi<l
zH_As#R>C{1-_j@_DO-s*1)tmsKH1l1-x&D5I38bg(QzQ()cbwLgMnmU(H#Te9~zP7
z;9$&5Ob-n?i~Dw<e^7oIsde@qmZ)J5R3{Rqg9;Q6T=Ljx+g1o`Yn&F`zFKmmm0C^A
z{2g3jTt3M7r6hNP$b*Dj>aMiIO-9B{M-ODMc!_vxx@R>~t?g~ZeeHF2)4NGu)P8zx
zweCxmHGSTTr|WEroQQ?Bfi+c;%9l65$Lh||y|9qJPF5H#VL{D>ezQ8w9~2lRp+=V&
z(kTNppyz!EBfW<;&>`4=G>I<}%?OIw|4di!VT62Eu@kDnFHd*S`+)HRgb0NHX>Qw|
z|Kes!b)NLu0Wl|$yszzlW^cbdf`40o9Y3D(pZ7o4e5N7opGoh32FpkD7SIb(*V2Ul
z)qQYpTh+Q2&O3gIc|Ga51j(9Y6sLifo2$St7n3oTf7A_o*IWtO#6A>{kB?JBJvK%y
zac_Ssco5ugt9@)m+d-S%hjzCZY-IO7$BI1X6EarU>Pprs@6ZefF$_OonzeR8a|;|b
zB!Ka-F*q>#r%BWmhHe$>tysd5D4V&TgB?%w%wSD4iZ*vMUkKA(89R9J%G%iK?Cc0M
zs*-$T^2m{^Ru&FL5{DvA#5tBnIYt8o#-MVFUfr#IR9KumfK=g;Ly5@bYcv4qty(W;
zpVv%1_rX}H*kmpbHoG)5sIqq_97JPT(N;2kZzj(MrQztqkc*+LAg%0tD__4po@^mk
zXL!I#T&-Ant=l@sj5uf;_VtfrB_p4z(#8uK&b5$7u9O-m*7VhTWWjrTp!p6h@6hal
z_+y}oj%MTpeYb=m!>U*RoQb))`wpIX`I$2)l1N&)bb{LxOWa;%n%7_X6{x>?*DH(J
zLFBJN%9D}fFM82&<P3$nE;4xR-hr}uz|Cc1S4FD>M>iKn?ja$5$TcOC#=WNd5RdN}
zS=c;YoxOT`dYboMW1%c%Jfe`%hC`By#Z&|*O5_VH>3bV8Fl}DPpvk-oBT)1>cfbd=
z$>Owu$zK&=eu4la3>g`p)h3o2XqAi>p{ps2v4qjUFP0vbC_FX_JmURC)bL2Cz3%3l
zO!KCjU*~^51=V6>aAGi?jm_3zx>3K0gf7KmI%5yjYD1ry800zLQ=5%t<AbOr4SX&r
zZn$0_hV~XqYU_Bt(WoEaI@YMGjY!f()!3PAVIUumB$@O0hI}HKOyo`TF-LMB^NwUB
zo*yV=XCk(QgRoJ@Hcjy9j1N}o%c0ZY_`31I=!Nu|mY8l#FvftQT;P~z06gBWz{M({
zA{ZrnT|9|Qkp~%zgvDUr4R>TH(8JLt!-gHRh`>PfHa&Cv#EFyhN3d4x#IFQHhOcwN
zF)Lhm1WFuZ$Uve`tQ`p<Hl0IA6rRR_Ar0x^z})fU$EK6fU-n~%Ip<m~9SV&hlYU!l
zOt!O|X8F<?JpO2b@?3ey^OBh@h}({TL>^a8Q#K_tR|M+SxgmX8riETD08ape1pHrx
zT5VuiZf<RCJdRaB+MqXq{nhwrgcl--u<PVdBQb#lP2p9!Hx`ak_=S=!j#}XmMKP6~
z4W9@ql5h%Y8=!WY?sRuLHOXkCVoNmdG-IkLg_WZj+s;H)>`>jqtGzL6??dBvjTeT^
zr#?1OCa@|iQgU#*lv;BYe%~iYs9QLb$(*5zVuYAs|Gs?Z#V>yG2=Bwqc*J!_Ud;9H
zzprr`G_#5M1q=guYacT|+>5HM-I72?Yry<hEs{kQh1}?hgq)N@9M??_=CAUrewBw_
zT*JmIntYcv*InbgG+)8t*7g_nPGp7i-3i&~JOv$4lXv2FJe0{apWN8!zB}pt%0BO&
z!JGSbN^*ddC5i+(jxi8%34McO0kiXo)HSZ(eWUyCy|@02{&)TjjYt(=J@D>c@H+Z>
zzW<H4x6uhs(x$w6$l0~F?g+gAT;X2UEXkQ5RQHnB*S@SHJ1U$pxl55XrPuoa*uIM^
zy|uNa>7xI!bs@MA_Xor7O6u;c_w#@?wA0@77apcK)Q^J}5e@d?OC6&iZ(Il-lr)hB
z?bQaA0%?%&Jq&fnK7qzpq>yNdh$W1U&YXv!7|<zCoB$}vbs#!T?)MqbEgw(yFjh)!
zq*OBQnwFbMxkv;NiRZG}0<!<2WGb*v#x+fv-4H#VOQ&E;i$PnR$(txaj_do6bC(qt
z#K`YEqf!~ev{LvgJB+0MNbMPm4-6sTCBw^E6B+GjgoE|hK^=jpgF93>id&Ec54U)F
zyA7;0(t_thg1H<>)sZ6?<*-p>y60U?%vYjvK}58D2J{1nBCa5q13^PG4Hs1nYqdn&
zO*I-R?AK30*{p-U&M>6s;KBWe>-SKf57`4#&g2LPg*!9^h9F+6aew%jp$_o*_FC3h
zV|$anoYBTu-0Az&?`ea!i4+kpLu?Ox19k?-Q19sY?EQ(LZ{DX2OMNFkJ-TZ7>DXi_
z$uR*^yGRX)Z8xn9hmToEc+l=AdwbHysMM>u)2A?MV!xs_JBJcc%7CIC9o$VPrIO9_
z5BRk8UHcZa>FL4=XD2QZ%Ak%S^NEoV8bspB)r}OL`@qg5QE@*7-Px%gC(sdGzmtGc
z9xzaM_j`bYrg(wr$<Zt?UZtmt)Xc310dRO^0KUc^bZXLX>%a`W+G^dV^^rH98yb4e
z@WjOM6NSS2nXhi;rkj9f^u?tW+kU@gO?SR**yq&ev<mX3bG-dELqkvS_V)wV-~8W}
zmX`Fz#TCnXKYaKi4z$UT{ZI?sApA}u?hzR&bE`=2LC+Yx3<MAgZ(=9a)(2>h#jJu)
zS~Sr!c>ee_R9sD{gT}p{5s!F~&G?vfif?_>iuYPic&~Zx=4kYBbm<(j>YtpJ*IV)4
zRy8&8&!m_ZBbCv~gxS%XL9Assp74g}+)Zr!uhG$SP6R%S7?u@plsf;5#Jf<dl^v&C
zs}<O$_JjL9k$XoF@kX2dhXQ_Z^3r6=K^QbsPH7Hk9nNqd65@hLB#(thp^wajPGT*3
z8u7rSbqS9*0g!Op!A<>_Ff@K%^j#NP9I^hhY^g-O1y6Su`pU|JarEfz3zJhrX%yEQ
zU0OP-eSC!r{6kb`fHwsI-1^~AC1IG6L^hpa^mbS|b^_T=jK!tv?t@>3Gp3;1cM=&3
zylgyvA4Or;K!Jl4sv)?kVlm|+{?2w{nXp8NNvgz}ZRd(ndu;3WqeqQ=u8~Tnvs2}=
zb~T<PuQ#~@^HQ-;)CU9A*GFMbh%ws<qP{B=;|WNqxvA;Ob&E^JRUmqECs1t`UMMO(
zGgFzWWz%uW<CWEeaL-fj(c=}q2j8c%x{8_uDt+Wwg|E8KFRMK7))ZbRm;R|2Q~=w?
z(?1BMjVsl8iD&e=Sq`lHa?<3N11kcmAPk?4MaaSKNXE|&HJe~So5MqS<b-wNh5XR4
zJ~LFw-ciV=Vsmq-m{zzWTiH>`d8wMsD3!@pD+5(H*A%J)74J-?P+EzlvW2xZKEG1R
z-`~|V07s%9y&S*PWgSEm(Y2vlF6ujk4*HP}P~#BJMBjze<LD|njRC;QgvwBB1(*Gu
z5JlqSS6p$N;&5>P@m|KE^i(0AFHGqzf?`L<#zv8$m)p)ZL5=@g-JPD#bZ-x=j%Ms`
z4?cY+*syNKZ$;!2u@`zey;*Si(7Rkjr>Bbqd+3N9J=``{DbI*9Rbwg4x{amjYg;fX
zI2K()sQ0qHy)`{Cba<j86ruovwUS?lgkxs1QmNG{m86LTWR1zmMmso&efuyS^;Al=
z;FN#T1V=UqN9N363>7<4OqOfFzh%p?gucKC4jzLN3+1t{zS|=sR4e#-aqC3Vb<o1m
zS|RGV-)`%#Szp(m?QgqIw9sk)95`(?(f&BdUM`pZ)^7&i>^HxaMxmz-GUIp+(R*#l
z9NZ;Y@JYX@nbx8d$pv1+qhsKmNrk)Yj-X6JreHRqd$`k6AnGLUTG$0_q9ra$ut_p!
zeME%xg%>}K>L~CZjJYTqh!Teg&9;Y-%qTq;kJniLs+p!)x+d;;=~xA&19K`;w{29h
z%E#^GKyG#Qn(47m_svQW{ND^O7$-VqBicKI@Jq&in=lY%EGS@r3WpPUxVIt*HMM}@
zOg1uwgkvZhnxi^u4qy(mal^V|dRnEv+ykNBo@eWqv1F}2<ZvKOEpiM+ap;W_)+t6w
z{)O0x3xF_@J^ls@oM=lE;)akb<i8+wCX}$r)fFsu3iCl~><=W2nbBnB$bhIc;HO*x
zB`8Nq$_=~unM?{f@U0X|NS0hEi;y@t%@UE;>6Mj&dLJ_9Fhfn+&I}o_?FEM~u>Ukd
zFiTD*Iy4D?q-+z#9*t-vK9IEBK{%;|-AF#{q@$?3<Amdhc)F0!W%6M)IoUpWXf|e{
z7{gK~jO@p~!Rze-CVTjC1=7fCLq8LGj5*L{GzAv*n4<48N=%$0<Ef9l(bYsgU$Q0~
z(&|3I<&ig%MQIS@*@C@xzwv}36Qi!b4uQdXZ2<2&E&O-Y4ybfLl8mO|W{KdbEJ_NQ
zHn2v*EF|KQXgU%Oqv)lTu8)znhSmF#>A*zcAtRQ_#%v=zhBSG$ZKvFnnReCTOlM`k
z!GE{uq6~(CP57MYf{!xXR5<dIWF!rbT?d<AKszSB5yjrJK+GuqnMVdal|c=l0;U5R
z#`sj6Oh!J($c?ZO1x|{YMjpW6!hsXwp&e6m*Bt20N^kF+|AnTT_uc~U^DR4BbK%xo
zOCmTqPW^|6*C(J`JPHn)wz0dwk-Z6Xc`+<cPe*EVFh8UIJ~_8h?|h-)?=YhUG2^n<
z@nENkOI#4JYx6E573?-;Ui*kdf97S}Ku?KY7khi_s2$QWlgaFStJR8RlS%V55hs7v
zWP{VZ%o-!S+A8;xkS&dueFC#D@i;%3NyHCL#uJ&z$wQNq>-3bzCj!oKe)15{drj#E
zsmRoO*!J1R7BSWrr=!5dh{EeJN;oDP{NoJMqX=9N=O!l)E+b41@>=xx=`+Xv>6s11
z*P+0T&1$>NYz%-*3E{qOXVLNg&I4Zr`G{xUe~H|2K!?Pm2CPE?%sF_8?jfCV_6CzZ
z`~R8X9Bl+UurC<w+4tA_+EV|sP1(mk(2~#2F}Rob@*=#{elP%;Z4oTUK`+&dFq!Bz
zs!Cv~=^yY@U1K0^fH=$ik(d3@;^JkD<tLcJ(MDz$_^!hs14S1Kw3f>$)N8fP%^eqk
zzPyX@kiERIz7?JlVVij<@I3}(D#IQu6i`kM^(5r*Vpp|36L{~duu&g{742t3PlON^
zD~RY|>)^@)*mC@0xoMqQQ)?r6xYQ~Zfb#H5Mo73@+zPG`2cT5EMV`eGM;r^d)hqNz
zW=&3FCOCC+XN%7;-gE(aVf@JE@*h<H9T{T46j{oNAz7`RK*}uG5dZtLj~lR-BF|sl
zO&0n>Q6((((PL*$A4fh|6XCSW2PY?UVI;cvgxNPW{nNI2v5V?iNGy<#Ak+qo2arOl
zR0d{Dgx{zpQFAEUKv^$qeszyLGG8b5*ojeYy}WtthlySI=Gmc_JfpQ%6g2GdC1Cvs
z8KR}(Cm2UCf1E*pgm;hJf%Ln3QmQ>s(C>gGn;F|Z<=PITe%v&}bKDPs14u)U8iu)%
z*N~UVagkjpe0huIx7pSy7kQiT$#1aI{Jt`#D2(Z*);63mafkO!JMi>%p%*@*aT5te
z6efbIef1TRn(`$0G>V911x2@oF)Uohh;`u89*H~`Dsppd3=rukZ^ynP61fA#VJ>fo
zJ`TeWa(sptOk{Yq%o+ITBcrPcDaYSkKy7w?8GP^4-+%hIjfnb2Xb=&zw})OCdRyqD
zz#v+K=Xrxd=M0Pj6nt<6dAX#3E)fKQqot|3O@@Xl0*z1P3KCDPBA!7|4Dpc=H7LHc
z8VjeP(9~_LHW8*z7i)cjBFF?G5MP3j2>B|UWAlizKn#U^jry;td>$1@64fdk!4Uw5
zlJItX)-W8Te@+(i!%k!>7C&+7mRqmGIRpdY+=%1&=Q_VNoR3k$_FGXe3!{Af@X|6u
zHfI;+Cq|>uZ0B=k_^<`kZ=1u=V@2<Flwo~(XlRJb`z{`s;X}4uSD%JdgBOATZ>U%f
zA<HQ3lgK%d;XJZ28>V9z*WG%{sT1+ol;e!-I@kGG$BgAiD!_HRl_#Sr+FD*7f)8sr
z8;y>Q&o9i~Vk+xU7{xu6a~A?*48Df-<-6{>i#&@Qn6`HvC}Rig-w}H2MfE+16$9s?
zsX+k!Q+%c(9H)YTxtKUav&c*V?kS!x_ur_cc@bfD+!)$V$WZSm#@>m=|J5=w6BcOk
zpre398VzjVe1ox{$Qag^Tm_vRK)&-`7kgZFZ|{1a!3(13Z(0otb}DmV+(HFbm}O8x
zb$kF4s=|efUE?@w*^#!aIb>3NN$Aa?-wu5b-WxVRT@zQpuKpFs<v!_TkIwSQyPcem
z4Qi~H3vXR2NExREShRFDyn~)H98VGN5cBLacbY<9F5%W>yLh?O-WabRJ9ho`$BxyZ
z6~<V~I?Tt@>8q~3`|hi+0uj{<!L-8(+v!|wV6vet$Y#l6xo$e|M%CA`YT`&95Je60
zEM!OWU)gNxj=ccmcP>V~FG|{PXirQiWQ1>n??R!Yp&Vb#Fz-AD2IKg#J5in%$Ralc
zxfDFvYryz|J7b1x<Un#A^bFGLZ8!u&3?&}cqvg2Bj>MY~f2gI0AaLFD6Qlie(A(Y`
zx*zLUD0zvtJb;SucK{Wk+|=w7Y;YdGfDZibA$*orse0%WQA;b#buO_X!as7a7yJ=Y
z3k%Oqjf1msV#gqBQU1z~r%=MYFD-}{!{UpdJM^1rqhe$&6U7s(EOvdVV(aXwQv;>J
z`GM)+_)QPY50(Z_ojMz2vi4VbK85ghHVM3qI?J=Zv=YRFT%Rw%`n>G%JIKKT0`v@7
zvN|;vFfO7k*5NKbfZ^^x_HaG`ejvadz~JJu3Bny5{jtaM)npF9Fhr~_!w^P&Xz&g@
z8HUbR_ZeXEsSw@E9P%|?4-EKf<o%i;Iniu^U^^{%P*n@)6g&v{6hcGQZw}~2wC36d
z2BV?eMfe47bf9-39227XJk`Hc66-xQ&r7SVPwoUpfb0$Kcs7VVvg0mt;Kw5{5mh4b
zWXvrT+@A}&)uw%*>>pZ*LZCrmc_&2f54%X+<HVA~!%2K(vlBrl+qYsYeFzOe?O*xE
zirw`4nd(?PD>AVJS39XiU)VaQXdhM7o(z75BNjuK{1N=B)-(7k{_?oh8?)JXM2}G<
z4jpnp#YDOqs==PHF23$Jpx(%vVO{lo^|jSP%m&cD(fqwq(8jhsuCxF^;7I%%165LW
zBs6_0z>xN}_Dr7HK)%ccT_SJy2i!@57kAuy@vG`kf2&(N4#D*Iow>~G!ozICBcJu=
zmZ3TI#+s#b05lvJC`U0!z<hMphQf2-D@|Q=(z{J^*m#fc-`X>I2GOZI`n>Bz-;gY9
zUGDYu{t4?py7+uu{HnIwYy)R*h9+QzMDDI`<w~M5!I8jj<O_>1<mhw6ex{IZAi&_P
z2wL>=mg(@SzL`=Xs{e^uf=Uy?G*HMtPJHLZBBli;)qKR{pH=6nxz`?wL0YWOu<_1Q
zd<M&xN=G)>7LB2J%XnvlwyG15G{MFEh(6nJ?BzeZ2P7p}-&^T&j+qK}4TET+;Ef1%
zl?)sk2te)LW5JT0uW$!zVv3`^Z_s@OV28av57mN3aC&gix9wfybAfki_k`g1TwpyO
zRH{IW(sBt9bb-S~Ki2c!NG<rS$&PnH$M71!euxpDXU@-YNWygVLQa51@#Gy3_|}**
zPLR^Tw|QC!$jvPg*sy8|PzPJ;=tn;Ck)dy&{US<0Wa4f%*-AwIz%8Gt(B)+*7OTAW
z<jIq#N1WJIMZ@{&Z-4vSLmxS7ohiG25J|2kvu>jEy(|jS;!fONc}(AH6s?#;S`~Tv
zUp@QF0KBZ29rhl0cfULI5zI2VQ1X#rpTsD+3XhiwzGrhq0WWJ7)6X5o$>xkvq$J5N
zl!W%{HBl^KN%+fQwRMq8;8OSbN_;J})L=I7R^%;IT2@9gt*aI&?sT3a4EIvF{MSO}
zIaOUv#djv{`b3`Jbq0VStpwWb{6&z((Dj<Fm9bQ@mLyM+lwGUy7XY^NK0Iu2Cy5$3
za9(NmRaipY(mK5#u-WfCYs>Ebf+8ZvMrt)goy(T<*0q}*f=9?5u$Da%`gzRSr%7i;
zLg=L%%LvlZgg`qb$pq1V0AztgAtQU77VSL3ySRp1dNyb?l~cR#;7kKNE^^1tHgxSq
zOrs~{kh+JkeEiHTdeJ`aFTTh1F}CZy9Gn+8iZJeDgK5+|DfQHzX9M?6BH9?n=Srhd
zsUZB&iCqX3<ni;oNH#=%`vP8yYkdQsYlvs>wvK7^57NQ&Yx|rJ+`k3IRV~K^2)P<G
zPEcyfJW>b2ct+M@;mYedA9;(x<8Xvq^4B0Tu>)C(=ZCj0N#Zp#E{jvvEo|DHZTg>T
zyv)g3Ks`uJqsUr`X}n2iaJ@G=+8Awk(YEj*!JSxlUfY0*lAknB9V=jbWQ=NsDH$h@
zSO3}0$DPQL#i>dHS-ntii-U*{!%0-8Cg&GsuW-y4CsN<e<*vp~WjqI=R5|87<?%2Q
ziIheWlLFlPA;<J5Dt`8O!Oh3<J^1GMT)i-JG`{T}?Q!W|Q{lD<9H*6?$-oF<SO{f8
zV88u(*ZBapgD~4*^MTjD{`GKyh$qr(q#t&l4(`LD$3tJexc=F<$jG32))_1=EJXhY
z#n4ukgvfC)F-`KjFnVyY;ol-^=<We_=%l~LGZ4^x3!C^ak(e^W%uc<)9@>Mw)!WF$
zg2jO924TP?cMAhBVbR_X8<veCW~ME+H0bempM#3e9zdD2UwURX+~1GH;!eb7F$a`1
zL`+h|jw6)-CJfcn;Gk|oTV!$mFm+I%%30Xzcvc_6&SX0mHTni^z8?;KQ^DupV)oAe
zAIzly!DX9CssFp|hxW6r{zPB`+BQJYPt+FslYy5X&v*;^tMRr8yge5BFQ}II$DzLi
zucz&-zV=RI*d=K6z!ZTGUL__iH8ncEd`!VG0RM+%+u!Hs0&*Jfg(((-*hMQ6h%0t0
z5=y((4O$aK+CdJm<ymr|`$1|>^^a~)CeiyV^T-A0AXs9kT#n~5fAAxa3VfJopzlK}
z{y871*y>@8+<h&@S9fYLPFij%lYwEZWTl>iPb-{qvw7=flLvwvz2479<If$bR-=(*
zvWi?LKR(`xIPw3iDWKjS>1jor*n=6QF|ksq>~meCY^Bnu0fpm2P_J2qjPR_`b1sUH
zgo>cNBAGZ&hC|8$XnMxj{ug1&jVpLTI%aBS=E#wmnbiC<#N8M{48g&AO{rS_;Oq2M
z>Fo~Bn;;IJN3;y0w=RN%_wKU*{ADA!pD0$`W9(l0zX8YfkL!#2y$UYRDgj*8Klayz
z?tTVi|C6$$?=gVm&)AOs`~Bneb?AwHv<2Oor;;4QvSVDHMZfyXhRNOQuw(~Rwi5{U
z+MDOvV<2{{!Vmk(TIixh-QC{L0J~!x`qp99SJP6JjShC@jjPe$d*Lzr&aT8L+WArj
z;#^O59EIt`M>+>vJCBHpG9oKdlGHVKDK{1t;hEW=b(rqzE3{PUZ}HS!yNkn66qGDk
z2qk+`qmnC3Ul=rhzqgxfl!_20sN_NYEoaS9>lc_Uc#Ua;x3*!Hq;D2V19hH)blyD_
zL4sMjI@^A()`%p_<Gu9F^q)h33GPym^zcS)_*d>qON=Zj_~COKd?>K1Ve4x~8~ni_
zY93s{Ty^6DE5zGk<Kw7m4uLXU32Gm|kRdWvI;^^t0RiP~koIc19lj<|=VGjz1$bSo
zsQFB}0uOzV-{s{-12sZ(m2$>L*@jmk{~TgvV$tLSFpqa$srTPxS&{JT)vM~IObLJW
zt+y2#qvPX)@+{gI93LM=hGFM-kpdq1q*6)8vF1Rb;l<VYGj+^Kcm5H+JK^PjkHzxE
z#VZ#FbGgCAueAQn<A?nIE`X-p1aE9#Pe^OJerv)D_@Ea1UD9qTU@LII0BvV6!_o!N
z6VZu@fVJ9c;Vu-jME7w8!^Ed?3GLxV^?_c8`v(G%t?B{PXh5{kyE}i+K-V|vqt`!y
zUhD2p221&<Gk)LuM`R7TFYq&GIZm?k4{7^|nm<v@$727!Os^&7rk%yF3@-j#>nj|K
z&jjlMVN8stJILqE+CO8V7DmGl+N6q1yv${0SHWG;28n@ySZI2Ybr=GDwbfGp6Yn;d
zN-}WnEW_T<W-`eK-tsF017Cd0Ti(*XwqPN7U9$4xYuoCV1_n~eLIF3pE^g&re75sd
z+<5Am7gxYV8CKyMs3m(eA&E%dL!=2gI%{%uO8%ER6p`RFFb6z^(nF$E@>xjjzaWr^
zOsNx?JDdM_R3}<3l3nBxbf11~!bGzf4jZMHXQNkLyYyo9edHooy7sDQ_T?ob+_|+}
znwp-Qo1S70YJcyyBaxC}EhU^WGa3%tv&jFPR8bWka}rCIQBohYof13|?vEY(Abt+U
z?oTPB<k+2WEg*R~ekNgR=<eMai_IbM&5DnPQGz#YnkB<1h22FfJQ|1ZR(Q_S-G;Dc
ztH^EAzNps?@{&OI#x%+z79~u74Lh#w<<Nc@`$^ywpQQx?^IU%YGka!KUeL%;Z+CE4
z!TGErn)3>-zKhW^=z3^;)v?FW(DfW%#JfxSbFc|em|!=t>iSO;ckNBq+DL;y9gl2k
zU6bq>kP;O|_Lw2+Q6q3d%nthv6i_;wOCg6iw5q&yDiew6L5M{%Q(~^@KgApMTq57p
z*N`W4fK_mGM&MEo;k7v;7ATsv+7g;hr;d6P+9`*1G(gIz6#Z;GzJ@@Q&Qp^ryf#F2
zuaxFodsrcVvD67epCr{IK3U*rEo^m=zugM2b^ckbG_c$}uKTUG#0j3>_RFC(^4n3z
zj`79PS?2l&P+7fn*06hGihu^R^|L9c6Xg_j^0K=6egst@|Lol_LF8m-(gTZ;;~B?{
zM%*no5;dL7@sXOofTY%+g>R1Y!TVx~MC`NrbxzF96$=CUhJiwHZq6$iiP!AD=N9aW
zpk29Dp<9xqP!##yY#N@nSzEq*E03US?>@~BaCrNSks;C4*Zf)42{Sf1lAyX5@KS?}
znS=@*`dj^qZG7}p`)&Wpc8B^uVHxmr?T%O(QNEJQDV4?vZ)t6yPslfnJT~}6pK6E;
zZ6T}p4e-l(W$5)gdPs8Q_b`Jsps^z54^ptc#N43eh&aJ4;)m2rr+38D+|fpAt&(+Q
z2?-Sg5nB<&LA5#HPme{nN4iqu=MKc02)+qh@$f=8ZiT1f;b!bWDjdi8Lp(cgcF+D=
zFDG|zPt@UHa#U)&H*A3nHyhtBF3wh?R=hAXQ;1v9>g;0ip4n<~am`BPXJ+y!dB9V*
z^)hhx_K?IvFG~$8h<_J9k_;#bd{A2)2oeN(7{c4of%HH(QB5UUp3>S^Rp((EBk;G>
zgQc+s+_P2nPvh;_Xa5K}r`oZcGw|v4a9D!?A>huX$iOY?SCERgSZs`yKND-m|MYJW
z4cLy~G7wq1liZrVIUHX9^njBCEDIg(s3$@h$uSMe=962G6yprv%>)GtCNLuqFx^?P
z1*07(8a#*8`Btm-hC}J}T((%uu0acZVI*<8o&2EX^Qioc$9}=hs>n#}fbnMa8;1@Z
zdP9r1&!y8hK+ky~Hq!Zi*8PQ8+~+m<X?-wh-<}w`5PdVpG%WA@wEA7V^Eh(Yy%gix
zmBGY;6Ix&8+Y0&ikUC@((HHaz7z{_ar?j{*x=<i(F5=A6;=)R)goYaM_3xczW^&I(
zN-U8r_2(d;+3ex_59g|teCKvl(zyTWc=BF17Bz>%u|In3vBz$6-Dk77Aj+39ja^&K
zZo)UlKgfGmZ+lGrI+|iDXe^uUd|H}{g@?^(%td=YU{h@8*)A)gF)v=XDQfE5D(_vr
z?J<r^SALlhpSpXnaw%z$*AN&ZzoD0_J|jAl=D0SRtVm^{U6{V5EoMFmAOYytoeMn(
z8QIZ{oqf}knVrl<U;ff^el%m6#rCPrw=&6_V>Q;FH;AMFf&a0kKi9j^h+_{G=_{)8
zf)~6Xqaxw-!o*`4Q>DIAbJ7FpLNQv-++ZbcjV3$)EBNr5eoSwP*t*9au70c93>^UF
z4=J#aBq<2Sz=&`W$`MCMC<$SiOf<}Y(DrL1l1`n>6{!;^t2cc0t6!~F=0IEC^MWI8
zvhGH&iKX6-#O;~WL&y$SI6N|NZ|ALejlLeM8?L$Lnpm>P1ip7JRc$97OFbuUzJ2_<
zJmPQMmCk#*Z;eMWo%-DcC!c04T27NcsdleXCG1Yi8g+;x5Ce?a5lseVA<&p2{B)BY
z13pF9SV)%-YD8o^weI&WZ+N+S@AK06zQjL1J5h$szc#XP;R34Io%h$KSi3gYbp!2<
zolp74XJbRdldLqpDK-80H2c@%vzx$;*D+h3MOldQ9OY!bE#KPr86nE?u9-zn6Io0w
zT`uKi&$&NvnhtjCBOA~nA{$Wav&+k~MA1h^Ar%ITzcogW@H})2{jPMc(|Xn3$(IN5
z8GAFE%l$EN{u7NON6z%=R*xKMJi#k}tjwUYA*c&|G3=!NfOdB{K3X54dG02#^No~5
zTE&tOQ_eDeIYye*2EQ)@1!p*(1aj8gDel4`2)i_@xmk)PvTCuYJ$*NssqX2J3WO*J
z_n%U!tL9k=rMZG!rt;2+RnWmq9Fiw@s7igFUBkzoockKYl4VvwnZ_WkAvh^rE~Ru}
zQa<TE*#%83iCug>ebl#M{oh2SY#x#t>je_$VcvCeTida)-X%X0RW7n)0s09C93!${
z{vMA#My*~XJ^)L`tE0Gp4~!s28)8FG#BQ(O4z<VM+=QQx{>}P2L#onb%E(`B_&Zv+
zf?B!{tITljl}Kg9I)H&<LY)f(sYD_L;gnl-JAT%cb301f$<LN>YhJ5tlns1G%JLQ;
z&6HopNeDKu5Nz99V|t8k3B3T^+-osDJ&aDSlgN;(O)nK8lVnDG)><&gD47sJoV0aw
zsPr>*KNPz=2rFO<k72ktiZWt|qQl*z7&KO`0MEFkQL}UFNDlH!zA!RXOipE=4`wQs
z_6WeOSp;8aUmy0zPd^a_1DUQOF&75B_=^-bCMOM%I68k2OQ`F8i6b&KRfP{j{mgIy
zegvbH(>D%HAQW3SvYK_1;qj4?h(Dwr;;Vfsl}atommvV3DMe0FIthm-B@tb@%yrnq
zQ&nWqds*mX7ndLP0_Ebw!oxsl2%|$g<OKZuf2*ZG=R$>vQU{18i$ycYFFiFhltDeW
z`07tySO0}HiV>?s62$}K3DhBH*kK-vJ$~1ZrL}iLCj7GA09j=Pep#mxA^Kck##j0j
zQdm{WuYFlS0-3Ez{J4-!Lh`8Ok!F&^mIKtl3a}2H@K}@=u}Y(;M-$kQ3PMfX)1qGL
zb)`%;e9+2eNB*+y;W&>J{v{yXTDG#8Qs;qpKKS5+@ps0KzUW0SDm*X#ikH0PCGiIe
zAAIk7-y8o#{A>5!cVFRw*gCGopEoj6fTK^U_;hFl>f5#l`ohh$A^DA{5R&|~@8!>e
zZ1G{+_X?k|ZM1<08yFE%2rtT2m^}g@&=~O;e!Je~BqD@Nfm0CB&n=H4nQv@#`O4?S
zvaAGq{MdE*{B_5Uv;1o|_M9spN>;16Ba@Rya@DGfq*L~v*A`RhbZW6SjT`ih`Y}8{
z{k6o@^i}nhmHJiFQ=kyY0qf^7IE8r<g)XU&$A{ugh;nd*S8dQFthqG2u<+_YLgd@I
zqHqsZ)}IXy4(4jbOxnq24o=n$Rk&iDK~A~hQnuwp$^*Al^EspqETt#tx>;QwtW+}U
zEhzI-R>?%+=xQP5jt!)jhZl;d?xoyWE1a-W;dFYSkWLPa4wa9%>1rws?I>z@5C@2S
z?8$L6!mT_XnJ6C(y+8B`^ao&~g?J`Xpnjz5(#pB;-B&sOD<yW#rzZhaOc%6$m}{>_
zW{?Gkj}j)3n#L~G-XouXzb#ux{zhABd2Il=ghp)$G6YT8CM9_)SS+cJk@nED2i`%@
z^suPD(nq7cHKDHvt0)O}o(}m4_(`Abd2%gSCrPFCBYQO2_ho%6r0)gUy>1%;ea$Lj
zIcRIpd=u9N=SS9uP(jWW&-jj;9>**ckN$m9iA)^=oQe8H`jG>;r&6T``CDU{<XNq=
zU&99Z<wgk{<-OF2{Y$k_Y4|;FR0>sI;Vt#VvOf;Xi8`BMd*1?ASfdP(fBK8Y0pPkS
zEC-=+&<|=0M0G%!+xuNy%#hY#m0%r-v`blU6#@YXdJ(IJE3JrCR#LTr=VYwH)$2pa
znNOPObarDSn@$;(dy%jtcL7R;e6)Qb=UB;m%V*rVy9WzbxmNY|&i{Bp4w(DOD}l*#
zkKN<uvL^TsB<^~&Xl8TnJze<|tj`wsv8!M~y9+Br;~Q<@61jtmK=WNZ$)VRn?z0lT
z5}KSQ&1~rMZN5sjKUMMtZQgnuqt&%=bv0)i3_NJ?m10k#UM*R2y$S5Ax6zD+jG1Tr
z>Y8V$h}-6aU1&m+-IMUTWJ5?%>hJXN3e=O|a8X|25_55J=7fvDi0rLe_9S4R;ocFU
zwh(mGZ3j8}zI|wHdaI^yrLFaO*y`9&$|WUKmplTw`g;0lc*sn<@oOz1Cp(inh-yT>
z!bLPG<Q9Y8{&f?e0lVnp3S~Co-Ai10T%IAk6xX)T5N=;bU+p_$vHxQVId(nYw$8U(
zz-#=ekvZhQ?-be57>=CtM(07;zU=E_cs!Yme)B9E@LS(%w>S9w_kHCwaK8C;Cp2t4
zOWg-8(-JEsP|E~}W#G6cbTx#2>b`i<Bo1C1OOO|UN$|Hy^)Np5Eb@}(2nqYbNaKvS
zK;Z#WWj?4@-|>!j&;bZVg9bDCd}g4QPFp8VKEJI2u{~9PUvN&|GdevzTF4a#VU{#a
zB!-&E&n_*FL>(tOvbc1hFoAlZu<Sd@!D6m3Iz2NA4CX%c&_no!d_IxLDf_36pJ1IQ
zG@s1|!R6x>Wt5Yttix8>dMs5@CNdKs_kpP@$ajQR*}4OF`m%xe@C4~4^@@LuvD<`(
z{B42<Xxrr=Xd=&HAeq+@N}O^o_x-LnXlI9q7o-Vrbr`PZO758rtPnj^zK6SO1Uc(t
zh}N~L==2uhYmf6_RELJQhKCIEH=n@}w*}vqO5+jvCVXS0%28fl-{->LaYEMbQh8<k
zUFQeSVCc=K{|&kJe^z}x6bntWGAN|4aiCd_EHvvJI{fO;Fu)(C04fwko~p^>D56>b
zjPou|hic!v+WFR?!D8*7cZ_<y*(^j;Mk<QBZ3F)$mrA6KHE!RCOro$&5F2^~49@zk
z|NHO^Ysmjxr8<A|WUB?xNZ0GrZ%w3gsm=nocaLgE1x*O~G+`$wZ=D2hfB!{sDBcsG
zMgEJwWQhn^(nFzz<QiL01IRUfhCC(iAwzVz*)E<3{lwrP)277W4;;x)&4g#B@)0Nt
zqp{4$GxpZ`9I~(^5}6D#>%kyzMp7vz%8TGI^IMnXx#Q=)P@x*?e{Evjq52nU<Pph0
z%IB(+|5bFI6U$@0k7G}!hsu*|f(&5u3pzF=UUJMaE1R>1B7=jGA;>z`nCX<_C|*A^
zJ{U$)zgV(7uHKdB`mxIe)QJ2OFhrTxRSl#1x(p<PKS9;VLfM=~wfp~<ws(P&>pIIs
zYoDs~toQrb)m2^HRozmzRNbw9NS3XVY{_yg+a15<Bu>S#6UUH5Jd)UP2pwXu9TE@|
z2n->Ub|x7xkRTW)2@pb)7XgN#n_=C_B$qpVXAu^Q0LwFL;N}iP>3-k8&#9`GTC$U2
zx}@{iXP<q}+56xBd;fn4f!YwnEjtm6aZmjYd_cOOAK(>cFi4cTh!V&RjO$(3mO(S{
zZWu}`V5poa*f<cQ6CCmZ#dvxCFOt-BR!mD^S<d8>*%9i2qeqXP{-j2sMo8}m|D*Q=
zyq<1K#A3?K=l6%hbyFo1CCo%*YtBSgtKqMPYvI9%FffUm!xKjk^84t@q3H{SLg7mq
zW9sb%D7Q<dZ6%McuFl2c*1dOrypqp(%C+pQdGuEIHuua1G6N&~Tg82O&-5IlR$C&x
ziyjMlUgplc6Z(a>gx-mmM<E5NLKr6?N!XwfIf}|$-9H@C0<LQG$zyF^)ZCLk)(als
zC69Tpk6WhBF{5kgyLGFQAy*zY%9JVoNGMb1$cmCDC$;nmknTI4Tv;fY09ou`?ec!r
zYcvMi*rT=Xu-o=-V64^6Q8O%kflc9$t&u$jonbz?2zZeU?Q44oRK@WCPtto@L7?Hw
zR|2$lhOdOjJZT2phIJqvkC~_8M_W`|#bg49v3Po6ce?9FG9B>sX(WV64R(qMQJ)2;
zo$@@sqvR=E#5*o>)tlDi6I_9?*yjPjBhe;?N)NKoL!pou@}lrdGBs^r=CvOAyhM1i
zeyEGL#hY*V{9pG_eKMS&7Ir%WmClbv4MzMcGVKNO{5-!lw=eea_=i3m+c&rNJQDr<
z@sH!LRR++P$}PNd$R5h;=@8}Jv(Oy=OZajRwX0*WXc0VpHeNI<KHH85k1?(=;8R*@
zi#Y-xk2x+<2|ik+loin>>cc&&!VQ}kYOh<RerM0S#2%ts?Gu;?aWYzg%*&zP?2XHx
zJ4QXmH5akEF*-VPMG3AUG~{K~P?#ItG&+Lm1Alt7ga;YPzI>bhxZr*9$~Fz-z}UMC
zn|*k%!lk`#=a?ECQ?Vyy>0go6s@gz8BZ6#cB?1h57&+ovc*1BOM=-pix1fTz-J#_i
z<Q~q1vfHWF4(DORotS_nH-ETRHM$3nAqa^VXGE*`4an-DHXxn(UWwdYIJ(#kTNcb^
zwq=F8i$@>2;RdK(LG-Ys#<<~zhw#2`sEYUfCgx2H{s=dLlkA7yh_!srhJFFmLhDfY
zmT<)?5Zi-r;UmbKcP!zk@v5Nk{0x53ssJOtQY<H6g~0yc^Kc!ojE}>H{w5?PEVNhG
zFfl=k<b*H|Gz%C-)eau1tMT!BXjxP!lZI0rB2>BYbmp^V+fGj1nbIMUQ+G}!ZM(cz
z*$E?3gli?@#CS3I|Hr&Ij^XEZ*Ql*b`oo5aoTIE1jTUr;l8L(iWgLWje4ycN(J{*w
z7+%XNTlP;*HJh~+Z?;e@7G}MbTC<5XPnVb6Sjb^rQ8*eaxbCkZlDS)mL41gqsyk}P
zG0%?G`a!=&4wV<jCsSh_-+-uLTpLDD^$}G+1Rfs4rb!n%Qiq9Wm$Rp_hboZ0Jz`fi
z^r0rPBqc0?)SrivF1{T{if|||%7iXs*0N@iBBVG~&Sg=2&CBW_G~uvn72@Jw(=A|K
zSEK;VO+h8%g=<~Iw}gjyvI0KlB);kDzJNtUt_A`Wtgh9BG{R<4$~j2&9yNu+#%v)Y
zX|Y@`7UK8|jyAfDR=-O5q5jZDW8<MZhS#X}TaB*jR|>jnp)xx9xxu&L{`BoqD(son
zKSpJ>rc0EwMpuwOu9|KnRnmAtbemn#*~qAf+o>J_-Rp-4^kkXW#<v_b%q}fAkozXW
z2)39=c|DBS3gV#O>gw931N}-Nl?*!$^(zq&S14w&9IC)TMd4(saGqBg#i)SNd<+T3
ziV><_9EVqfCV<c2*gQDLbKcAvQP0igDy3}JOT(8pZ8>f+owC?WqF|-cMc2WCM_lo;
z*-|B!bCKo+ufXT9Ep?u4VQguC-9f)>h2pSIzX~y69>@5CD=UC<NqUF17T8h(EOl6#
zCkuG5CIr<HUq*5+JeUlA0MJ}k%KNltOYCME8|wl(fO8&bPsERX@{^w|IF-TID^B5o
zR;vX9Z`3i04GwI`Kd2kgXr|?rOOv0RES0?<1<j#UC7UgyAleaZ)T7{@s3nmNs88<J
zTXPCV2pa~PjhW10jX1hKdvQ23vjOvs{m29al=Q@f(OO<7P`60h1L{unoFK7Lo8WiE
z*Ljy_2v$MDjKI5gLeTp0rk3jkK$a1un;ZodgxZorB&_W=R3EM&ww~`Fh8omck*xRq
zeJarOjU2jCs!J7JgPj3AVQ@6KI9heSo2MJ<_=X44hhz6jD_u6o|M+aci*f0T#v|&}
zzyvn{R^AnQFW`kd3uZmUY;p1eX7l&L_D~w*|Mp5-*J~9is-lkgZ$Kg<fRXFb{GyhD
z=;yKfTsRyJT-@>=(nHce^qi1BoLq=TCeDE3nzJWdBOJZmgcrOs?M4&xbLk2qlioHF
ziEcmr^wUvg{!zn@o`UGvLgGBQOIpbKheX!S|LedxG@b<QiMT1xsoF*=Req*iEGCh2
z$tm#v*AbQw0qC84KB7MDy{s5^T=(RH4OL5Q173M{v(-6}I9kFA1T2YrnfLS4h!7b)
zym}DcQzuWJ1fIBIlFc*rWqk6)*zpaW>B8L=q^g^?U8nGFAQySaT?qttipF^o%-K!M
z*(kCw-i}Q1kLo!~U}8rXMXaIkSBuU8geH=CV%<@!9L*N!xk$(p{0yq&tE2r6mHwq$
zKJEu@M6F+0Sy}nMNhklv%ah)XA6KD=AAWe^z$fdaVr(u;hpj}@u2iO{D;4`kf&+LD
zxoUE9@l|fMn#C$O*$)18+@`Pk{WDo?`u*75>W6;lhgt|hUVYR_CG+QSbBkVqg+eRX
z<0;*xR?GgiiWSL$9LTnDnOlI5^LyZ}-hjC9qdZlCEHV<lIqNiS3VKCk6X^?@yMmcI
zI?@^kjo8}a%_DPG<~L*l^tH6eK1Z*uVPM#M7@T5%q-qb6$EUF796HKLx;&KOD8+x6
zzT5yyr;=qN9mYD57*|_QxZ(1VXe8{MbK#CRJOq^hT?oP$po`FP=dpUeA)XXy{vA#(
zUj=%Q3EkCOpo(ff=e$D@CBvR<^Y!ksqtGBbeGGc^R^>)*9QnMp(9klqZo_OrqVFD$
zVN&GW)R>KXjn@cYLN3?~oz7pxQmNS2V)*Cp@3RqizNd*4zBUQ3LL193Hq>v9Rg%ij
zB7Cg3&X4W#wecbA9>NxGz+YR&d`I*QbD>A@j^ZDMfCu<dGD8egq0t2QC9Di2N};y`
zyl4tS;4wo0=PbZ@f&1c!v$Dp;gbvowxQgFR@vhiUI$t##h7sUo!)TaaMdHauP%xAE
zYGy`0tqzkJUVK=<lSl(GN{vQD&3*N&xXqDIW9@aE{2^=Xd8^^K#f#2*B%VyhBkPC@
z5{d{-Cw?eHKY9c7ExY}<)A-;th`a1z#npMF1Apfkt%btG2aXkpE!b<s*F#ul`D#%-
z@3mubZveZ3kv1Mk!$@6d4l2z&=4%-_4kX!RH<9RaMans#TK`aAP%;<zftSEE^Z(#a
z(uR?4A`UMb`W#!}owyx$rqjrP8XW2i;7uE_9X8<SpN01$_-(Zcw8v56%)^^v^wx?(
zZgv$>3AhH813vBY+Hy&`#nRWgfb1K={?CB-#tT+{Zf54^_;*Dq*8)6ZBahr8!TwL+
z0y|z%I+aSD`qHUWr>-a^jUDmZCxjylDQyYYMnsLNv>}GDh&iPNLLYMj*LSq*TcD>P
zFA^3%Pf<SroJF*tssRn;0ox<&u0p^X*YDpKZD9`_(u(fef4#;fdz5aDyv;{Po8zL9
zn8dH$$k+ofg+?ysqoa*+sSo`Fz7_hgP2hF#s$+elGo@;Ii8B?;mV5^{-`xUuT6hb<
z#UlBYPB4=Zx)r*BHQ*;byEP*ZW>ysIoc}?3FOpX+*N8us%6nM!HPOn)vdD{+LWGfW
zxgCw3Zo)I;6>-;!e(yX;Vs!r1@tEz#UxB*K)6r-fcox};kxD5W%eN*_*UM8_k<NOm
zlC%!6Y$9Es?6l|S=MBT=9pMZ^*W7Z%ipJfOHQROV+EHl1qSldH7|$jHOI5jT!@Ycd
zzTKIurziMk2dre}DfIAexY`Gt&<9q~UUC|uH2otiY1kqZ@xT7saI=XdGSowm+G#vE
z28qo8<`^n&#LsWxqsY5!SlV^6sTzYF)nGa@rURo5#W<MO6}Mzb2dZztdP&YxHi5Mh
z<vZhT@?_9wBW$ckGtR9msHEG%wx`)wk$1?uH;f+v-+l~U^?)AW|3DuZ@CD*k<y#dB
zz$SX$ky{|;Y6G(XcA%sN*Fak?S0^q9-g%q)sf`Wsk5IK6#aSXek^K}hMkju8DUp16
z11Vs4dp<Q->3BT>k3Kk66uuIJ*fU+W8yolDdvE@@5APws`w3!l4cT_!+#Kxnm;_i{
zj}^DeJ_Xa*06K-Wf#psYi&z&*%AxWJ;SZ{nG<?^<B@E8Xc`98&@^73cfQx~lMX`lI
zFzUCE7_?fMK{8O3)-$X!oj0?&YQSbxkt!xX&9h8ho&Xg^BIdxOZKy|}zLmII&p_&k
z<?TA1F#2;`q8w>pb=auOP#1M5g=KXe?75JP951t-@f^2bWxO^WLy)_z5h@uSsS5<G
zEjV{!mr897zIOin*ga_B%OjLFIs*7$JaW+4{SC(Ba*u#K*>AiPunbVESei856l$t5
zwZ_kWl1ibmtAHzFBcZkwW)@d2`g7&&u~-~wdcxt@+ut5T(3_Nv*!yq4=EY!|yzgd2
z?upjez^PNbtp=9Sy7_$?K!;aj&aSKcKCpUzOgQ?2o`!t!CW*bf%DDneNJXROgR~+N
zf!Sm=q_DvxNTe#PLh$R1W>_%4?BUu;8EYB@e4`DAJE#R!H&m6wQ`QQpt2k|Q-AIN^
zG86^@zjR?Z|IuBkaeNT4-MYfAOMCin_o)~76SA6rLfwJDG+_V2c$>SFk-PMP=f~e;
zSKlrma@(sy=Uybf`^=U7;CtRdN9*IGDTH|;<zlCYudJ`<j#yoS-rb|stM~4%@6k+c
zx@TweSoEWU-q^TmZz$?4hMlly4{r@GqbeN9(7V;lPa(@<_Fn|Ux!Ymx{CJa%@w)-P
z!0}`78v+o17jS#^-q-`y_WY=;fX(jrTZS*|HQsM*h=m{pv+5derxIt}Y%X?NI2;TO
z_j|u#Df9kZ%+0=k*vaU4?FYJJ^hADG0L{4<tIvKo^wXhV3jOXCk_4enYqiovU)It>
z6H&Va5De^Q#PC|TVD3>7xPpVk3KYIH$z3ZHsdOb88D7}C;!ABYL`#?&x=U%tsSA)H
zA#s8Rll)%bW>_+~I6P!|ch|*@;2x>7`^JrH+^4k93|?jAC#phStP>=XS?4p@a+jM?
z(FTMFUM~gLB}U??NZyUN=pwm$boIiE+>LnyJ1%s=dfX3S-0#D<|7hsvL!UtOyZ?xh
zx9ngnN8Y342jOWi<20`1g%V1SC?R%up|e*-c<*rNcU4qP&2DOd;lhdlCScQ|Lj?6R
z<a{*8z6OQY_&MLI_);rsKP5oE)_o8{2AiAL80d?;uEFZ(LynC2-~xQ`HhmC7qXSWC
zu+d$2?FNr)fesv9aI<a&?Fs1gc0<N+<ktm$QX?SXGly3-FhC!S_B0kpdkvaqrM(fX
zbT5aM%V6n>>);u<UKM=xm*7QsE363bhW+y2il07aFy=408w?`0oXxAtl%x35nK9ZJ
zUi^xb#lZk|^W8idC{#!Cj5b*+RP~{ZhpXV2=p%!l+(|t#AAvi%E0WX-l?!%m(Sj0y
z0eON;l;`|QSpO;jEzLkgW-+(+t&N5G1<)6-VKs_~K&apvREb1#suZu3I|wN<KY!O<
zosR2-OU}Og+%Sw)=~O%pPeu<qnApRG>DD}2XzX)JVaIEC?z(G!J`pua?!-^VkoU$_
zVYpYMTzKV$oo6D*Un*tsSUTmoMl{)Iv?1*wx}iC<v^;MiY5T1c<x<25XVR-j?QA4$
zSd~mBqMj<kZs#E&V>}v*C5okVEcMYNoo|>9R-hogpn;Vy3ei5ohVwUA65vKk<%!Ob
zk0oR2QVCk_Xu?Z=^vKc&9Rq1;kna(XMsh+(0FIe*OebuxRPl|%cr&G5JC(_pR<+Vb
zq{c|Yv2#W^0zOf6P1}GU`pHhi7IMQ7Pozak<XEN2+jd&8#dGx0&FFXy3{cLn-#G-s
zD+1}p!op2AEi8zxY`Z_MDBiXBt2=(h*MIKtKHjg@Z;%YfR-#=PzhPti3cf}2z0@l>
z;CkPKbq`+)eKQndtm9=c=&d!Vk+jU47i}@+WW2ekQAEEhM}Z`)<>tWaleo$h*%<VU
za4x)>#$E+T3RVZ;Zc8g2OQZt!nP{QcL@p?@C%Hi}s-oB6<F94E@3uW)NKPMt`!&_r
z>~6gKw%cwaC#xB%LbEwL+iVtk!GSKu<t<{Eej_{hdq!45R_|0Y3PnUXYZ%!u^b^q}
z0=GtTyyT@Xzm)cH$r&FA)zEccLNjn09X(;!0O~x&ZA6v93-<6IZ(C;~<+|SLk{(Jo
zh!s`&FUMNi{jR$na`~%W7>Ak<UgL|e(aQIXf4$719a-b)AR5JMAZ>-{g)It(4uDU4
zPia>+EgX-;t3!-NF%-6VMnQ>k6yOirmPnRlsSryF8$geqbItJ+^?hf~ocYkpe~Ns#
z9^|ItvJLTbJuy0@AxCN?7QZ)Fe~t9x*z8h`@xBpjPCtdE)VReT5XX@w(KJJCjgCiy
z^NfzWj(8wrOGd|!1N)ceQx@U3bsSPuz@2EUqt~`*ywfaF`-?Bf45mR5s0PFXLaYt#
zFXlB=#bhzTX$uoUmV(oAs-u;FoOVmaA^G)r1R?DI2CFFSOg?HoU`6v;_q3fz!d{op
z@5_IhbXa&bz4PouI#7?qqoC-#e>>pMwbkQ&&_5uHG$h!J6V0EG$B*yBpGdWAWFD)*
z*kT{7DwpkRYY|lazC0l~xWKg-eykQuYlLm$xD%5gqJd`LSgZj`gOax36KKQ;<^zw8
zV!|8yfoy<v%dX?NSh3s_rCmIpJE+0Im+$)e>|idA*#&K!{w&^(n45Xto3B(RH+iYk
zXqNPl6XI~RrO!&uMu(02I&fh0?NAGOEnac?_zt}Ywd-eE!@6oVn|T;E0u(%4nG<k|
z^sEmY5r}Iw7rCN2KyXE>(a`Usx71LISwg%$@rvifD`03j3ruNvPux7%CM%^sgy1eJ
zL0Cp~iEnk22F_9E<hO<KGeuq{-HAirayzV*@4)x^eiOt3aMThsz`@KfE-wQn0l%6z
z*5*kqHNgoNi%hiAmY>S8rf`P9eZGc96RX{kXgUOW_E69>a9#l{+5l5~T>yXkm&&cy
z92~MRmQbdqO5#1T4P!0(Nu+f(3&u#PUN$>5)oxEsW$_mro%cNvq}vqMGBK2%gMfN$
zt`Fp_nw$x<fw#-xYv{4YCd&>UcbrtG32izQ=kUuP9&Nw}Uu$)HqSl4?9A$p?;W7AQ
zycU^^-W~dx(8ogmF7yYX|Ag4Q{|KC_1p<u=X`N&TvO~v@bQk+wCmQczH`A6l>LMZN
z=<NWA*ol^n_C|1pB3RBx5C?iab444{`(t;Fje<Ze7wqnS#!G19il?X@q1Z&&NH9<^
zWRnv74N9&;su3KY>kEj=W^e&6G=x>zXn@rx7lx$``j-TiFx0`x`QQMdyT)6glS)uM
zHL9K(m8$c>yL3+z<DJ%9`GB3^k{q0;vvtszKtymd*7DekY>d|)d*aw@kCk@EYhN6_
z-?{N}!M~7wc3>CZ3ax@`ygbgMR)mnq5VjDMrPa;D{N(?Ek>hk;D=ceMH3^lh7%Gy*
zTSUMfPGSv}#N>oV-U`%A)_EB}#GONSPu$gkk((%+?Gb5UX-jBVppL^w7$owbnRbxl
z4`KFAZ@%5icGnTF2zgyIX+#mg>Ojkd<~~yh8%0FIM@q#M6wm31ouMCaHWha)WxH7;
zlSYk_CpDl|sU19c<jBE;HP{T~_~fCPO2TG*XFA2CQ%P8};hJXfG2w_ZBk+MWEz^tE
z8*$r6pz%yHjEM7C>kN^`QLyJD`n##%^)k_jSz)Px&c=E*%<~_?Jl_ZH`*WDpnyl$w
zX0Pau9R=GD?DvJDtrZQ7YsW6-7C)dq{-NW^%wqy`8`hYC{mx31OCe7BRocRS%T1Ww
zWFCAz9XDz{KE{Sxa$(k2)E2YM961<G)TW?<hgcOxq<gEQSj?<4pMKzm>%;0USin@r
zVj^T<QU|*Gsahg>@W?HztJw(0A?B5ga3Pa6vKS@HiKnuWNXACm+%Q%s@p`n#>sgiY
z;0OzIV<MeFN?$LkQnxNH8LDU@?6X3&eI~`GKh$+BHkKA|{Zn^+{a(km78h^6Za(R`
zCf)#E%gE@6byHaHepsz>fD*{sFj<d6=ETT^v3LjLq#~&dwq`i#*N8XjVEs`8e$E)d
za5`fnEu*$!$-3FYLs~xWArg4N`IaE`sJ2%Pv9CaO>jLM$=HG$0MDrq;>#`yc<Xx99
z2593V%SU%;o!7Sbw7Bs8e;53&e+p{=o(nw>?ZuZcm*F4)z`?^IEMb&6&miS#93NOK
zd<@?LT)?2A&jLNW;Bav0oaeM3k{*!p(hQeKaLa@f`t|cH;NDx1?j#N;fL8W+KJT`J
z{Thf3?kEQP4!Bvr%9ZQp)tzvh$lJ%m&U@XdD8jj7X{cJb&Y_UxT(_WHEH`zdQ&@1}
zdLB5Jt5))qr$*HVU#w4?$@u=`cE0O`kJsc0-A8BY`{T*T+a_krR1DX0i%z6>eE<Ia
zv6MM8@v3nK>%XBCO{8Mk@8l&A*LCy`SH9|N^=rI-W&*EaKEBs0`qw^$Ucr0Y`G+)*
zrne%GX_#1-72a<K#LD7bN(PKZyNZF-Q(nS0VyYK~f#Tp2RoJ+ye=P-}0!1?RMEk@j
zT3^1XIXq4J5#?6+z2NLW-hA`h`eAry16*%gVwTdy+X%xj@APAX@BMl@pHF|C{F8S7
zyl~a!-hH<-d-l{sIz7+ZXQI&=HaVY8Pn<eC+i?e5U-`;co{Pty`^r!l5w|n)R^w)K
zv8iYp*F<d8kO@wkcruN?5FjRsgu^S5Wm-N`)-G@kgEdv#)QFBeRW}=OTTX2Sj~slP
zWd6Kt8vH0<awwPMJi8QPMd;yKfzG$I?*#91Tvkc2UwtdYUM~bLj5ykV8w`!c?&Jgo
z?_mB9yOKv^?>G1>VVC%5%{a+XBY5@8-xMjNc2$&{$s>d>{SVNs9_UsL>pbW)tNpGD
z)cpV^a+uek9T38>UAtDWU3B<}w)kJd7Ix98F-ipvLMR-8b2qKhT*M-Ll_Sxzx=@aK
z$?v(o(@~kQ(Tjg7=_$lC4w(4S(Gv=h`;hM1G%%Bm1jA$JRRqa^jU-qD&=!PeO@+fr
zGYm6|5sed+SS1W5ASE@Pr!!|U`|kL`gU9El4b}BhckE<~gI^r+_oJgGGKfTsM8Y%-
zm+YdaOt)491H+`!3cLaq#^JGH<Qzsy->6hEB3`uw{VZ#Q{aCPq<9|N%E1};(-?J~Y
zX6|Z7oaovkW_+tXV^&0BpwuAIwop^Y;nB2;W1(dVK7s#PYxG}>XY|R^8p2>pgt59d
z41mWQNnoe|3XVxs9xoWPgsLt#a)e>f|FG|YH*GY8E()cT)1F4Tx|&gV2B#EC8-ZlH
zZ4?}Fa^JO;%dFDpf84XR+3#;|bpuk`)#v_2R^W4b4YV|P0j1(tPma5RVw{irwcQ4f
z<tJes0M6sYWM}AZ)&P2~^T6pyrj4wF;<Vu%%a+)ueBl-|9zX5q*2!N<5?csXnN)D|
zV7@2eo^~Ip<O0??y7xA8FzUv=pp3~sua`?mksT|Q>!Tz6d3w90l3&)2Cr^<d`lvqs
zD371g$6ro@{3hextEV#AY-Z}!uo-|s&SYZb31fJX@#6;iZP+~UUK#7&JHR2Q!KH*S
zhl<+Y1UQ6bhqwfLQFR6TK;aeaiCsv(WUudE%Y$_Q)B^v=U1P05Q6{a@TEnLWca60o
z>NIH`n4?j$OJ{O$@$S5`Xod54pGbP~;sXezUr4U3B;myEJWz~#spEI&!)ED~9XFlL
zoxv?&CnKq30{Fvm(hx%;KpQlvC?g8fiWfB)Un>)j8sTI*n{pl7NhVTB6Dwj>@$5=0
zkt*B`H~Uhwb3BvJq2ZEiXV09;+Aa>wTt0KW6D`3-|L#I65nDN1RKI{V=P3(3a2mE3
ztUj~TsaV{kt~$eP;D`i49km&crP4N5p(T>ZbksGiR0f?MN&$~|F$T15(YYRC7`kmO
zD_xYOSE=7=7R%uxjLzYabZ{FE!vstUDn59M1w;>?CFX_hVh(rd`#@1SG~n!b2MCxD
z3BdabmzT&H+hH5Re6k%)3J}MZPsUw%AGwPW0aiQz00kuwqcsr$D+fiQry>&;7A5A5
zNZYd75ksz4kYwb*#Dp?BUbMo6`i||+)v7TSt|2NgOk&0X(@i=?tJiz^%X__+;Ur!2
zfPu&(2q;_&t5~%*=i0a}nXE*;j-e(d4j3u|NByxUJq6srf-F#Y1yYGU_{)gO@#Pv}
z!=_KPZG@#p+KAlXPPMv+XJWBjeWFz^MjgjQT(_lgxQ5jlrddG-aikwo&P{W3O3lsP
zgmH7Rp0r$n1<!D6;qVfoz#*hpv{-IU)DaJ4=5V()<z8<ZkVkhtQTwU+y2nGIi$beu
zp>7J2N{hek$O6>Tj8HZRq`E={BnE@PVdZJcl)(q8>Ii$p;ljX(nvO$qh`&xSR2XKO
zK4lnXK2lP^oftacGTDPD(2bp5h=(AHh&LkckkvAfKe&fKtM6L1hBJZ=<d(HV01XX@
z5ZL!pc8Vz&D2GZ<pq&Q*D&`DGD2#|DPlwT?42mFR;Tbc}3~ZHn(TtUmbIFcQ8kjl;
z1b%p;!c|otCz!g;j2U6Wa99jc5j9lQn2g%Vh*^%A#dsCnZz<8i;@J{VJ)lf{%igf$
zuM33&1MD>*R~q?ti7UBF?K~RCD<Ps(I+@2SS(OSBXG~9E8dN5omWy{Xl3^7F!;rwC
zcP<inGuJeS6ZkR~>Q}OxPQ6mJt%+$%!SxZjsYJI<o8a$(Z~J}N1g8+g;r`IWvO*3v
z1tL)-?I@ZUR<ic_MdTGgq+w0SXR<TqjHI%F9zc5*>&tD(kr)LT)fL=QSfdq=7=lG6
z21+mnZnA@N&Rad3J4gRQ{=NYjD3n)&Zz8$JH&sD}iYhbsJC#|9ht1@EmA@47yi2IC
zpKREQ0(bUX2`e1$@wBJ<tksK$twe8!#hpa5oxoYgjC9oLo8|AV;qZoCOy$oibvB<W
z+8cv^xaXdG4x}OPh2zf_oejg-aEj03Bx$A(+=CI}QBF2>R?5l7V*yDf&lo6?ys+qM
zmHL8OR!7xI&M!fb)Tji1;D`aOIU9}uMIuph$b}+MBXnZ=kJOI-mgpRz^O`o<JOdxV
zzvbl|^kZF_b!eqXM5=!|%!(kH+7eJJBy7wrQcwDM6Ww;uw%AW(o{~wy3`IGOK{D{T
zV~w1<uWzEAtxJDt|A)7b-_qI=-cYNUz-i+xAU<MtqczS@d^f$;`R@9ixy52_+<R!P
z3ttz#4i$_bexn*d>i7~eOL%u~c=8XP*L9h+5mO9t{Zh$_f|k#8_f5|=5FRjWG2<B$
ztFZ<&Hg+<X$3i2h^Rv06XzDm+ZO`$}G!_uo8iGtNG8^Q`QOQ{|%d&7}p>YP4pw(eB
zMg;9-scywmtz6OpLoR=&9fd-PD`Fb^ruJR_TBu^WT{;+7p^}Q84i4039B0;v;T<tQ
zQ7Ks|HyY&%;^zVdshBgJE!B!sQ=RT?1k01mgojemX63T=`t0n~RHY21qr8CO#%yzc
z0rBc6H)d-SZdP+rSr=gyrBpQv`%OFM%9r3n66JDhYIe3>M|e1@z|ehO0->xuL`v;U
zO%-dU?DREWZuV^%tXM_vyNSnw1IVg=?2a!W3&n;H>GUWUJgj9_V22gLF(bffv4rA;
z79K`>0`l&gmKK**R$fS@el^m~nRaQ=E7@kQ8~N1>y<Ts&*TsLOx*5|c4thn$%yjWV
z=-!76RgJ^@TNQzMmGRL31s8k#eF09fdXZhCp}s(yR0DiYAAC+3^6D+HN^@Os5S^PZ
zNB9l|lV)*rg)@z>tu<T}VI=w}3rA)SKh1?!m#j(;NKI2%Q9b>rCeuswRyHwoVu;)k
z3L&Qy!MF904kTvE(3miw3&RIN6pRm|I+hhRo_XdO1onzPBeV?{Wue8kNb!A~ZlPQh
z51Tk(n^1iOmV^e1;y*x;`hhsE+`|RLU{xOZah%{1vS*Fio{Grl$G&<p^#0JtA(mEQ
z?Kr8BB_3<#s3d}Qcx<%}s6Rq_?^#}i-tj7zu2THZd50OSH{uY;7!L)s;kXV<h*7m1
zOc72bWS_Soi%RL2xJwIp_*iJ#(Fs~W{%0x7V|9Hv6UJCzM8cW=?$g`B>hCJ~{#|F8
z@A&#Z{kb0aZT&zW0#QbmYI{>(+}hIn&A=qw$9WHT1pDpF&atY(-jCo-`Zi@-`!7F-
zru2%kf2KOO<Ha`d<SqU5E&r6efFsmbu<h|PS(zWxX!Kw72=fDs6mZEVc&L3?llesG
zJj5u#3VvN7X*?p;r3Oz^O%{tAAD}D@4QimT8|hAf7yxa-ii(j&k4L2BqJs&qa?VLT
zYHLVUeJsn%xuOO47y@S+snpIpW~JGjgUTqffRKcPUzkv80g{0^*KAfy=bY$V^w$O}
zEJOv<Q-yLFk&M5Nph)FpVk?m>r%pi~TQ@8())QsPwgtLWC6hY2Ha}6{zcxvZwOX!B
zS%VOKNJv&sk99hpqRWodv-y0senkBv;?L)56If!}n5gAqAAB}5vzdrX$`J%$LKhF$
z)-d1EYgG+B+!i(x-w*5x#?o%LkPKEl)I>S}_ra;SME**CKF0zwvx45&9E<iOnzFn2
z<-`G<-PNU`jEQA!y(&&)0CH&T?PYLKn%81o{tm57p-Iid=r=&!JeTC=FoIpYLvGhw
z(2Hr6Zw>r08fCvNNJ|pVOQawRoE{`B{71e#+E{?E_#IjkNBu4!0fRgWk0o{1)RS;o
z!+`1SLo_^EU>k&+K)zz6P^%rR#x+w!NQboq(yNoIG%IljDn+IKO)MQK!loeiKy&5}
zLo&d9Gm*5|7(|l@{3UTnrX*~p(v8Ln9bD4IPOa)DObt-&I3!p68Ax#*$B}IninE-0
zoNVSSYQ`6%^v7yXKo?@WG58Q+jj8|o_=p=|QiUTYtZ~A&m|g-dp3t~D@)lZ$BrgzE
zMqKh{zuu!AK!1W^l=K=e(Q3mvHI2wT@;(sT$crH;j{f7r^VJ%c=faDpHG%gNM1ao-
z7d?mOUNCN8-Owet%}EuCpwjpVk?vT#P!XrEJime8GJ;+DZm@45A;42qbGOS}U`>Jt
zZHAzR0JNYBz$DjzD^q+8>;{INgHPat0FD_>z?7y$hyXiJ00D@wu4eR6qt!(%5yt_l
zd@O#_h6XrZVLO`nFYr$A+wd%A872Zzn6BwBJk_nEmS*DFCa()fqCVe`yb#}mtpUuX
z&Cb}$bk;x&Cfx_{JRoNSUn4~Bo|&nV*M^NEut0>3<Rl!k(A}<+jKHYw*zrU~bL#rI
znuZUvFzd*uj@0R1v<OGb9IIq8knmbgq-uyDV?|0W%Z(-z9xp)+5vNX)TFH36&}Ny3
z_!zF$g1!#Auv#;R)!rf#<lz2UjCx@T%>)!fS!TLgNyKdj@;~nkjw4A2X~-1Z$R?A<
zt_3Q?&s3ZGb5*jOZg^fJT@F5#`+6Q`3V>t`5jw+WoQgr=<%h><P*F@HPCdXn`1eTM
zh9(I@fP(mGnTU#$O(e7NRF3{eEDu*o6BTqszA{m&grz22oN}o+!p9~Mxd_4La4X9#
zgawJ1iD(k)1Ib2jTUhbV1ORc!CwxS3oOEM&ycaF!>*IqJd|BZ06#~rLSh-$B^xYox
zi6C`^>JGTS6@f4~4MUBTCpy$P3>-5o!;}#@EeI$Y5VhpF^Wf|%LYq8&Y92JKq-Gv`
z@WIvDxw2ZAKlSwBth&nTx$qNDJaJpgeeg|hdebN3%ZF}R*|!8g;3wSH(!P~j4lTz&
z@upXwI&x%sYHIq(kyE21pXO{Luh#z1Veq{YZ9$XXKtRy2&a*biGDtACZ6akl-^(O`
z$`i7+zXn8CgY>X7S5U(6bIkjyFz23$M$fo^0F@8W*2e3NH9=ja*Ker1-uT8hmJ-!(
z_5(2Kf3un>y)o{daq%zy=gI0TS@-YOKgnBPSxv709gq%rk{#&y7$c#JwW!zjAPv}7
za<?NM1T!21!C@F@>x+9=?gg(ma*G^n_cZ?3Tk?m)bDzc1=X*Phk^>F+FVyqf+Sa#h
zZ{li0A9F`MyT>>CK5=@1%`V?r=w4t|1?}Ybig`t7vHx|#=8rC2r84@LcGd0OpZ*=a
z_b5cfcr*UD>d(7+zu}t=%CYJ>^@otsZX{O(MVcUaAYGe|!J?hRYyyfVU;;cDubCi<
zYs`y5U9OgcSPL3hz~f}2F{$+SZN*~ILqgX3u>i!2rc&|sN_ii`a>crcfLB?)Pg{L1
z);v4^g9~bNJnZzBq5sB0jp%9K#@iRBn+gi<SJfx$`HnVCsY*3-F9b;1ynk1C=p%@o
ziYOOiHUQ}Z=<z*CQZOi-UicC%SZToYO=|iIzPg1^)*mRhl4^2zb!8$Gd^(1lw3M`o
zSA|BQJJhR9B*Kk3kH?jFM;^F0`TYKJ#dmoni8Aj4)<e*x8=}HF+=n2uLj_W~vj6#H
zEUxl*fc1FXi6OVJseUKS`rdEm%C|%#Rj1I$x|qm9Y^u5NRz0{IM49(Q-Jgvx1+V-w
zBR}hT_psbwbo<tY=2UDUf&@GLf>Vt|Zz<>gt-JsfjUs#ay8LB$bG#LOS0Lx>yD2n>
zvg(R}GdzjW8Oy4vJ&CErpkkr}y#zsm%Jm%j10BAimGK>d3<6O}o2X9sB7ZFG3OZFF
zi`}X<++>CZJO0G<r>ANJ;ZJnI?ck}3u9-0r;Z1f$*Rp;?{H7<NX0<$bPE===IoAV&
zXHJUGG(M7T2NEZm;>6hPgiH-O_}FB@3&&z%uK>diZNK}-lIEy|hjOSoI}6SeB-{!k
zzYy3wfxT^mw5rBPQ}FB{+-Y3c0htQEmdG9-9&lbfC1Cz9IL@ig4@3P1=cIS8oT8^(
z;4$|ZvDkjM{%|jxT6rfMb=@BxIpMMCM|~f*@7l|4B!}s|-#5K@Z;^W>c(AtsES#Vt
zvJ%i65P+-n#3rB_s!4={M3Tj5G+QbeTyCKO3EQiFYlAoO=5}YcfGC@@o%Zl1G!W1W
zJ?>S+*0~XDQ$j^1r~x_vdZ5n7;-rvQhi_XL`b%PqHi!nlD9;7KyJ`qJX_3nz$OMkq
z%fFUXOTGA(D)(kY;%QX!2O&X6W63@#_x9L@A6Qb`;@hXMOw^jkI&dF3f4-6J)(=u-
z%BIwZQUw^AK<rZu__2?!+}AmF5h(^zTI#`Np%0-;|Jmq)57;jm%U6Y@2Tlg0e_?(M
zu;(}>Bw%NYIvt<b;01lsWIH}H&^JDI5qmqRsH!6DOX179qrdzHNWsz99nfb7rnATI
zc@x2MZcYQ|zI__@$IsRGBS@qk-@(sjBPxACpQy=mY6{xUz3v&c>3{FGx`eqr8+s);
zPWfJbGwd253oRW@oxr%nZ}M?jyE7AfEI*xd8Xu<(n<OkegMksoOrD`pQjE2b&OEp@
z55s-jv4aV0J0yDZOTKIJ+rq#!lZJUSuuo(eHX<`(9g9ScVdbNWg_j{yS~r`<<hHJ!
zG3gfIJI=yrpV7~Fn`!nC=ubfcSqht{nBKc-7)``;wN9DgC5Sz|*bBjm2m3v80BvKn
zUl#VfyO2-sHNa}{@nhgCtOx3V;pRdiy7a9rlSR-<O;IYf#{eN1RH`ZXz3iC)aBMVE
zMASDnhEQ;H;s>1A`UypSP5rd26>6@ouD+fBP9VUP6^$m}v>q>&;_GipMx&NrayTX>
zaD^~eS8-Q<-@{e>t^Pb#2=SC_j-HT`_e|k$l^OQ#zyH4b?sK8$h`th;e6p`Z%Tbpl
zX!jMs?73IylKWfuTSw5K`Sn)oCwTh<JOQi-?F7&9g-{co?YFXz{ODSu!1Y&{kw1bu
z7iYpUFw`r01Hi+npk;6b^Gl~kdSL&uq>Tp>Kt+HL<N(|Nz|n3EsDn}Hs8!E<qNY+l
zPCJ)UwI}|l23ElA#mHMS@))_xSdV43Kd|joBZ?GPk!T||eoV{9Bc++||Es>9ZT-Lc
z{+ZGvgNTX_{$52Jrg?KB^OUfuQh-7<{!}J$vuQS-aGaXq)oPwm8y%s05PdONbCM6$
zv2y2ih}`^k_z*u6`pM7-LLUOQ#AgH3iPBA&Ytapmw~+8_h`mh5#nF{CnYR|4|1@aP
zz7ljLT`L3pLVdf&EyPN&076`BEdr>xJe9ZNa#4fYng%?wF92;@10HJvDElJ~kgo~a
z(r%h+bLdVTpvu7yhHDc@d2o2rip8wS!zrW;*?s;F0m9?;di@msP5u<{Y%`t4r>4?<
zxztBzAT<Wc)6E7vLVH8&jnB>NvIY>^U|53D8hpu&EOt#ZWdIgdjg)D27bC;7RYcaD
zK6gm|N?0OSJ5#G2W!X`lJj%@&|8f{B)BT9d=&F%%jWX!yoJ5$C=oHbKB!mZ2gZ5Jh
z8btweg>>_v4mmi}h7mDhjYNi!P@!HQKTUOFVPkP(axj>jSTum@e9=Wh+u~DwwlMg7
z<Pl*1!<>gdwsa#j7`bQ^lQ(wbMHuZgED!gZ6zDDCQ`^}$f$M%Tbb+xum@gV1N5n2z
zyhxFbNS;5CI-28%-37w~@9D_K(5A^X5(RDQ3D^?N1YG@0Gr_E-qb^bv%+6ia^Z~F+
zq#=YA{D62wEd$`!n7tQ+v%F%0gTM~h1wk5_s-jH23lx|}dHMPxSYO1Wf&dY*v1-C<
zw2{FE8Zea5qsIt$8VihgJga+TYu9cT%9_kVql4A-@IZn}3bz>HiFU)Z9mf_ms)d#D
z;o|knPxt%Vrysu*dgjy5z~$tZ0mc+^l#!lJ*?1iru_y6cHzO6OiP;WX<X>2wXvNG-
z!SIJQaD*K0jY7tZwNCIB{_#cNJrl1$hu1}mi1-SPs$r+5AM5qD2m=^X%7Nc7ZdM-y
zFOIeLVBo~vTF4T*5RxCeSMUY|Q_`SSA=VgD;bH<pEo8c=&_ODbO+I~7Afn&&bTa#n
zHT*H`;@TR6E{-3o54pL)CiIQ*#|8cJw#VbnQ@rEyy81r6v!)}IAA)#Nfea>q2jC-U
z@$LEU=~ZDz0@qEcBCZmJVs?+vMtd;Jp+I#W>?ODy!orPoSED218$FM(_2;858YQ@;
zV8yl=T8?c2cU?u5wmZPGKS6c#=!Z++h8^rMVpSfHs9N-Z4QIoIdxqd7Peq=XF6nz8
zHSK1z$-dHLReQYa5yv7hFmWQQ1`3NX8?*o!OlrT%NiFC8L@O3|z%anEx}cf}^ANE<
zOo{pfnWwmWN9Hl^9?Dz_rF5LWAtBfaj&{Yh`u7Mu?xdUfd^2Ms{P=u2zL*B0UyP^c
z`)YphXKFqVO#qY|$r4opva~>N8boZ3piw#Kj}M9Z{aF4;T7{1v53BT%e5~fgS5M+^
zHSSgcTN1Oum+uc@_4B=<S0h$Yum<`&^Vsv1VT3q#F~@;~V0EoS#7F2XlFQ?v-L?b1
zr2u4xzSX)Ra4l{0a_6Nv*kRqJFTJTr1iVdRdyf6i|6RRHs<*?VC4Sp&armb^_SpFG
zOL3V~-C$xjvT-&W&oom(%d{lOvtAR4CjeSDat9wcFn+A@&9*`Rw}Z?*qgLUC1PDSG
zX<ZqQ*b|VFM4d$YA7?QHL8P5oW70czPfI-khfGAUj=6}O0^1LC_)hm*P@E@nFTB9f
zkA16q7RlP)_W0xKy{yLSi;Jwr>PH9PNM(nCk4g~oW{wVi@E3joxMdP^3j74}61*Gh
zDt-p<C@X15m&vAT6R}p>`azj}ex3+NE1ZW@g0m1K&krcVu0utRd@jtFq*R0jEXl+r
z(n%2zK*LZ3ewQkx;qz=XO&}78(TA!B!hu}G)9IuJ?`PIEUN|q9rGm6+{A4fT%)mRR
zvTtsAE190J!L?F>z{IPNZ>n(HgYFDbaDx%-1|z6K2wNYCG<=NnzBl?P42bJLS78i6
zyKEosxs~=k9XtSqla^hq^>g$9PS04@3>IE`NX%9#)Z?!R+8x3QrkeI;g4Z5pN9Y2$
zV3mv$zguhg$7FixE1$s<V4*s7oL}0_JyCH6lGJH_yW56$HMC9=WT0!byWKBitq`J}
zX8cbI={-*El$RZBsq+^vUi@P5z~-ieCBUtln+J+ty!e7jH{etrU}RaVj$8Z5WU7%y
zgn<CInPYhx(v9zvKzPQ;$*NkQWH3J%OZf@w0xvr9>>BlIK<Acxls1M-UWlT40iMQ)
z3^au(n8w`P4RAiPBF@SNXk-gHjTXWrB?x6xm>RqwR0_e(No6X9d^}eXea-|(D-fGP
z_LyvQYVO$F9KBbg&LKm!(hG?FoJ_xb4YX)u3W{0YJ5z=eH5+4&2_hDxfXEl>-~(mN
z?56r0sLnl%Er5#zUrlmok>@lRsiBtE*ayNXU{E+LZQwZJ7_cXUwu<{nQ*0iJ2@1EH
zFR^Rdj*+;>!Sc{{BrGOmp{@LaShR}VYh`d?evPFiEE9I_Nf_YCZob)ecIAVF6#t_A
z_j|$JYia44fRcw3<x(S!#@)MzjgLR{PsjE2J1^S9!fOMdu*wY@<{#$jj5W*-4eweq
z(DOtq<27#5$5{C%QbbUT&VkyI0&@c0&3VD$p;lFf0@6B%hb#bTl!if#n}C90NYfN*
zhMKxSY9z_(kgSpwO{R%HXxZgn&=HFp&b~xB6N^W3kywPr%$0n7vh`z|%TrT|F<HuV
zy{_BpVt{-GZ?ld3Z{!Udd4Z8hW(U@cEsfId_pA~z2y^FhU$VUW^_8v0QX+ONr?AxG
zb-A>8CvC%tm(|ep)YS57b}|FU0VG?n8nf+uD%%@U!{_05U>JGVE;f~F7P)RW(Bq^L
zA!G#^($7M+dnbI0J`(yga1&VHg7lsUao`_qj0XVT@6k4Ta3-iDj`a}mir_(k?g{yT
z?*h7ig&G^(&r6g{R@yCqye1k`;_tGwOtITXUzka}7onL@NU@)1GG8cw1I78OQE9yc
zG8NoME0f#_Ji4-yaBdI7v-Kxzr^$8HNA1`Fz`s)M+i$<!jjuTNPheeL__r12$wJ&d
z3U7F|_}p{Pq3a+GecUsW|0nkG=aPo^aixCmSAOMJ5I;72FVmUd0rALHpF%sZ?3?#S
z62I)iW8gpCamO8SbaMZN3z_2%$9dqRAN{BsF(VsDo#UDtIC9kqjII@XFX-_@rh}y(
zPd@o1B7vE&Ot@9NqPO+l_r5n~HB8qr9|E=6^6*mdZ+RsoHS5WLKrj#^amZ4=NHqDN
zvJNGTY%&_@y(^c?q231^`*D1qQGWdK$1%lYM$W*OMW224S*#$z5*7DZ&-;C>KRNF>
z=TV~N+Rp+t{ysE#b2<|NdlZZr`ViBFoSHW7aR!Rm<D0~aO`t1LO0g!5T+p@rVX^pY
zAdSvv9sI-o*M9xNg$tY>A1-m0z%vY+(uY}cL47hB?ZYM5d^8eyl>7cxzmI~ivFq+j
z)V|0)`|^vm#C_c3LZ7ro<6!7KpeeeGnpZ80Q%gpjA-ANDoY^fd?V#?Qg0<E<uZSjD
zK4w_b=9dCSiGca_%gYRbr@0QQ>57qT%uXN5B{J)fbwLgqGv>L+d>k-6KR@jsE+ish
zWFbjlU4O(b)i0bIau=$Jgn5WfUO@1LLWx9aviF*uogF=ue;}Lv0e$qBnMFyK!e&xP
zr+Oja9`N0fOaCOkf7`Nl;vvk?kmBSRk(6aRjNt=dDxh{@3ZF$yg#IYMl;OoOT=b|}
zU7i5}5<N4xw-p2sT!bSTe~UI6rYG6znsz5ZtHh<Ec*MMyAzy>}7Rn;Pu{Sr*APeWZ
z2kVE$87g1R#v7{nSQ$C8CMOS04Z2{yEO^i-;Q#c~31!Y7fF0)G!GlI2Z4I7^CsT=c
zm;Q=*I8Oe{C=!{zQ{9L}RtQ*O=8;z>s%CD3lL<K6Y`oAZoJheh{NN<4#%2O>FHAH%
zZGf9!ICx^=@QQ=PsKA8CdNBj1DEGeF(tc*$I9h^9*@4;>okm@w8UTJ^#a^Q(&}spK
zg%kj-`9Bf^sG#7O0IWmrId&L2j^$ucc#NNrk1e+f$Dg?6lo5aj`q?rZ@v-F@{I_`V
zEV7G0lM<)n8PcL-tyt_}_XJ}`d@Al$5ylYuKz)OX294N|A><+`wo{s*uNO5o?y=c9
z#Yhup`7QA90!&aJP?Bho4<h^RQ;0A7(a>*(wnP6OQTIZs3nm+1#qZE>4dB2x7dyTH
z0_2L%Alztu*4o-I8){+g5JeC{1Z~tpW)CgO@!Q+d%1m3hI8GMIcv726Cyna0*av2G
z_h}0Z4&gGm+`9a_bS<^HP-57cVhfEIS1wJfSJca)o=RqJa$wddH(-K{Oqxj|Tdy`T
zQS*R3>MrIz93<WP;D5lC$-OZHx@#n@$q39rjgmS75Xx`BjGMw52=`<nGWZ=VO~sii
zY~;b}M-nHOHa0d$S!JUTFw8&P7;KJ?)!6Yf0ZkW~oF|(>iE6>2EAA~=uIJRUFsyiI
zvhm09;xyafjm`ji06Ay6j^|njTo54@&z|vMc*)kDHBCNmZrX#@`am>$21+?^dX8nL
znT;O!35l3`*=F;yb2;51N*TPstxAb&z8sHj09QJW7U8N13FSfP;h!IB0;t{9UL1K*
zvT!JU=U)>8zp_~5@(aunp$=Lwq%vkS;AE_JV_@+V5Mh&uEAW5SSerD6fT9tV)YS41
zHOE0yoW#U;Bt)w)m%-++1+2VzkwUwc+&B66X)4W;B8bAeo#OHXZg2)45njOVN5K}d
zcUm#!%v4l7p54#W{lnAOqT@uGs{>Ub&2Jq&xyk2j0*RmJqh*6Aikq7|Xb|aZRFYhW
zy}^w>)z8`p-X-Ql(y@swEOLCav9m^Na<V1E)L5BE;%H}n1!tW5vaSSZbUTy^HDFab
zLvQeG;4<ZVX)o&(o&Ip3aCxNV(?cNgd~wfG8|Gy)*qHUA0>F4+6vt_4TTlbLoMXf>
z*H=gAU>kkX<4E8?54ZJRZ~MDW5}90zxjZt^lrmKvS>Q?@VK&&M_v;Q@XJ4*M06?~M
z?i}01e;fx{ZTtGP?-vKV`!Su|Xf_seT}I;cYuz5pN82mn0_uASvHuYgQ1eFH5@$z8
z?hnxrL_J1YK9{JF3S)sfbj%O}HM6Rr5lC_mP3s;S##zLXg)69JP8S_37F9<9j_xEu
ztO_q=ugarI7a;oh?rxK>*B_n5al}ZeM4+b~{I`@5p--#VvMhuXs#{je181iEC0zQp
z#(0B-E$YU%p&Q?Zt_oCg#`32YC)lb_5ep<4@LvI4kt1{fYvF3g1dA@05x<236Q{8H
zR|~C9al=vW!CF0Yc;CXbmvYkSQX+A`Y@PJrhyMDn|Jt<MuJ`%kbc3GJm9N^(cBv7Y
zHxWrGA5-mpGm9xFktn6p_siBv|M=%V_c<H)Sl_BJ(NSX>5={s*BCscB;19YAkIDyN
zQG6$)$&ZA79hC7;L;rW^Z$tl6LHFWEy&`$xi&EC`#qaSV4EE?csXhdIYA?o%|F_i<
zYN<6q6qpd5f$A|TivCwm$1+0@i3={^@&fV%K;N3&%N3jp(x;#$x^W^HqGbwkqdWBU
zUr|Spj!ztY(Y+Cd9U1IgUUGxD`TCc6@y^R@9Jsv3Z@g%YE84i?DFZCTY>0|@xZS#<
z#P<c+*3$!9YCEpFBuUrWR=<li`bm;x?3{48yZdxybcGjI{<mFSSIK@V)hDKWY5SD^
z0DiQO7G;q^ZyYPgYNg;R>R%YHli9}nx)*uqLu+CaCA+N2JLW!MhK`?F)zt=i0D|Zc
zR}wD}L*Qywi}yioAQixv+#%Y8PPo}@29#wKkhJ%PH@u;^`2GlRraBr9zv@q8v%qWK
zYyu&aBME&R`^m2{^nr!7?0M{hqi^qJGH-nATi;rld@yXJ5e?^OAT>J|TjOo%<Ce-;
zR&J~<X*D<a%6L}+|3pIOrO$$Pd<h)-ZLp)fO}M93U<lw2U>TAU3Tk5{ShRw|qoWpu
z*nqjwB3TzRo~U$1cr8(aup0Z34Yt>^q)tS@A`fC->Low+_IM!SW#|u<FnT1#FDu!3
zJ71{O)3r%XH2&{Y5{Zw%<Zqh$D(J{K9R9=WI7jpa&oYg&lh4&6@HaKo`SC!)pF+&z
zr9|#5T1DG;y{z22yAqFEc6on^?XF8ys;_~p{@3@s=RKCS?_svf_SFOLd*A!AhGRHx
z^cB@q%5`Jtxqn1Vs!jFb&{LuJ!TaOG$d;kKWtQZVNN;F=gHatlMX{DWLk^UEGde~`
z$dBBlW*7^&e>eX^rg3)(I#hR{NP1lP4%jQga0SW+rIyC{IM;`Gz-1-sXJMN_3<bnP
zq1_h?8d7<1budbSZR^Pv(f<rANCKmQ?6~MJQr{lBu0AzIwugrqL_xL-4prOs;RYh)
z!2K$bxFr~-`}JrUh5LnFL`z-HcK%mC1;x0Xq6ImgEv9TFEiTU$@oc7M;x-e8TwI#r
z;S?5@MDa8}5f45Si=EL&Z=1{7(fnd2cjx*#R=z;}9!aNvD|qNIdG9$kA}t56LE5W%
z2kK`YLe`7W446o9NTSdz3O`Z}*f&Jr)>|zc@GALvvK1naYKhWkDnNBsaK*QL1UlYT
zn2c6%52prrjBPAMLx9@`meW{#u?@+J*1xq|hCx-+qm&Vyh{nswj8m9G0#y@>USs*Y
zEsFzzudf@!uKX&Ld%3KQZ0xNw$j-$tg-OKdn5EJb6hVONd^DSe*Vz2hAuuagKXc4O
zTN9CR$xuJ4d-9|81I8yty(78@<2dwfw~Ie3SqS(WaS~%6xIwq&^8tzI3N2abSx>bM
zR5n;Rz(@xo2?@_FYrk!y2lsKPUC1pz*?xI6_7<?Z_R)JhYw~rJPWW{Qbpfu@{T}~g
zS7K@#K9FjQ*Lyd{W3RGdBfRToH+D!QC^nezc3fpYIHSMki38C%#+cu+1N^q7F&pL;
z=VA`u5SYwqc;`2b&UI{c4xC^)&P`#O^%owZ{4iuKSY!NLuh?O0g7EOH!rI!~%gz0H
zXoaHR)bI9=<*;#+KFmc_qtV^Jw%-cOp4MfRpIo|DWpyS8dul%8JBT8B4|)tuCsPPz
ztESAr?rOfoYMdA0OP4S?j>E1o3oZKzbfRV<0R#LV^x>-Xj7$K4zOQjYKiR<MsG>1F
zBJk0chTg+;QjIqsJ65ScA++=|r;{xrsg_;LcAS?jAxdeba_rcfx5rmlsNT3S2IE&l
zu-U`+EF4f%2cd3=ADmJL7VbHW;IlQgJzljp-iklRcc6FLLe}INd`Y30_0^8roOfs~
zi?4w?zaxIU{4T5n2<4(*a~bqn=U;cf7R?>U-yNBFyzHeGA<L!)znDk`(W_GlbvC88
zAAR)EA1=k?Q-nM1|FQ|(;((ifTGl^9Z9oon1(=xAX~eba;6azGD$sozuLv%pomKmv
zQSC6gTl2LfAezq&K(jf<^~zPQsU}rvG5xx{hYCT@u&JHYV3Y3#5zqVGz%^qlIOwX-
z9)*1k!<WXco!{J4JvIxaf_7l*vkhNv6UPrJpc8<;vR9dg;n9@=+LAx%SJK?A(4o+u
zh5kJBm*D1T(-Cf;LI(Rm_YeD1^JgH5qHWRoc5$h+WyCdA)g2vhZdzI)TcWiEMCAOD
zwu%5DXnvK*9|Oc7Kztl92n25aMApIM_%d1_<TE%JOim59mCO5OLoEcQB*8*xfp66b
zC<UIX4?hWgu^Y|Av=1!tU@V^T+&EU%7=;uP1jHN%y6AWoL7IpYeOkF?)Ds!@wkCo3
zd<(AFkwosMefwbAn^;~trnYWaTCPtp?KDEYBr4UZ9_cOCaDoOG96iQ}@V8zBsw$T}
z$H`}J)2&HFdwuwiAU_ejQJ!zc=L09jB6b9cWg;X&a<GI-7Pw#5(PP|A&175+g2_fo
zDB8m_wTW2R1k^;5%gd+Kv8CmSI+o|xmzQpU9bqDmJgNl)z7JqZsFqiV1_j+Du^tw-
zRN9%$g!0}RkTQIgJ`_C(i9YaJE;JFk4v=F>?=liEM^45uk0H{sa<JwS{jWz_kF!6@
zJ(aon(MNC2KwDp3J9~Dm8uhksKD2!L^zxybv9t%2_w*x=oSxDFtA@uf#4^wl&17O&
zU!JUjyGkO!$gIlJTRW>}XR6gSbg!*+wK~(^bs~5fwCuCMJ>=Ezg_hv5m2IobOUoq1
z1%RgBlaB#H!>5s83%~+-2N;6nj9fVWgTuicA~$2k&~tr64cP>%*<cFC@_u|SSwL(9
zjA!;fgc-8p@mMr60iXNC;Yl-AEY<TGZt{88Djn{oGu<g<f8er&V(Yr=uG1G!)v>m?
z8qMzJ(Kk~M7IL}x%2_tarXQh{I(=tM*lrH9$|hH{NmDh8deubHmx5KbVx?<yL0|0{
zJ>ZF~)(p{eMKCO;buid#g}gXo0}3=t$N8!+H?i7|D<m{JA+K)P%OOBnO7db6r=63`
z>;mqobopZxyaz9+zN~dm{yk#Tq2Pi#hj_zy<&7aG%~uDa>*X9V%SgZ~tGD1@2$KtD
zVA-TQ2W)7_t))H(`q4lxj8ll95mK@`6Zm7dUQ=6o2%&qVe1t9<*6rbFa_EP4GC&4y
zB8e8#Cr1{b0gwQQA<@<YkI=N|H2+V0k9lXz&Ru`~+^pfRY0+bOUe7?i9sIEkZ1o$z
zfsGCGM(oFaEC$2qUS$fnrj{<~HVWxlbt>@a>5ex@mT-9fBW&#KSvJfE+;}4!-m46N
zpf3G?h@bhi`U6^^5OYk4PppEBWG1u5Mk<!f{?mn2OnoX98+4Od99>Li<-Y%U=`)B?
z_=V8F=6${msVFl6v%zQkwOA{YjS~(3d5npsO;I@KxDdKf#wkW_P~1B>8He>`dh%}n
zIjE^?`Om?*raU+w+A4svFmyb}`>d_~D=S-Yo6*wYjfl#+g`Amnt4EJkysVikxLFn1
zI9!T0-9pxCAeWb+SNtLWywSMwzRLA-AExeQ_jTj3oP)pu5HKv$#;T+)?pGf!xK{R_
zsmkH1iX6_FZehLR<#JwSz2KU;!x2?IT$#EjYq^EH%}8UGs~9WQS;X_Z`#ZR=o51o~
z7?>iCMEi|8@SBGGR7!Nw4u&gahhoqJ_c324VP8B6spY;<A6Zp=-jysVf3T!$(8idE
z+}uRm3A+1nj5t=Tg$ur4Z3m~s8pWAFd>)2qz^Ljne+L%#GgH6{DhaPUh}3__ti*9R
zsoTT@s&<pOeBm(Ik3;m}d_b-scx!?sq>zUjL5bRKA3C)3)>9{|@Png}T&p)$R?diX
z@@C+s9PBrVUIJ3g{jj}&9*SXzZI4mNz@A3Fl^TtI9s1SK?~6u=xDccRU7<BTVr>>?
zU*H;0C|3nKZ6PQvA5U5S%27bSm>S3d?Z#li6-tc^`Y}}RifU+;8V$L!S|nGs0`^r_
z3UoN2cp(fO@D<RS9*_KRKtT_KA?>p}9z#xFr~6nMtdhnTVQ-ygt-}6%`TEud@C$UI
z5U-0~Ebaj-qJVhE2FntUc}3TSPffrM>59qBFF*F!V~y|YJg`tI6iN$vtNMWgVg@PP
zjaFeI5|Ndc<?@WSzaih#<5M$JW`GsVTyY9korP+m>KX^G{Y<{gl`j{!R0Ccq+p06m
zv^=s!jA#8KJuIV`IZ#O<A7G2GB=d#71^B_6ItAP5e$1J>L$AeHqkBQ@v7(bx0gDPC
z({b<*k*^j-7K%CAP?3`J4g_k=SCF!b@T()ElA3Y~Vft{AQGvjT_rmL6|N2<z#&&sP
zZnBZQ^A(cB9gYsvT0ESL|MU$<nsB+eiG7y3GmhvXOUt*u(u;lwOAw}*JE%u~wtF}Y
zhl_Ld+|o@k*i)u&`tQ7*9y_EU>!$sgNBcIsoahEqMJlTJt;-NKe;v*JV!1UvmmxuZ
zHS!;3s2>Jj2#F=sfmCrEIHTEwo!?)jg)dwsYF;Dg2NGGDXoN7g3IIe^oa_>Jjotv9
z<{%Wzz{fk;Msjj8*~qq^2+9VHaanbDm;gw;09YLbUrqIDO4WK(!d5G3^TM@cUM+jt
zpn3aYYkd<|rul35Ku0wF;1H>yAzJ3LFCZ<g&4j77!KXqt5%sss+F%Z%BbMnzcdhFP
z-Sc8isEcWs$Kv-!fX8fe@Lv&S#@pvb&mnj~3vr0D4a-O_Th?-tYHPTW(SOVu{1O<!
zD@rZnaRd#nT2|F&<={yDc0A!=9a_ZBBSyjCVifHslHO}gyOvaue;E9wG<n%$z797b
zJm|7g>(pg!%Ts*2E942Cmj){kQ~>pXEIAVFb#}U7dRTcsbTDCyhzpJ<Lj{x$bLOK+
zOddKZ1hqJDzI|)Vh#i!PnC-Jl5<wRjY?ODH7icMI1QcknscDe71Ng{p2R?tnb^o%z
z<Lzv3OYetUk~iLgYXe>zJ0I4;wau%PqmE2Jv4gTNSK+Y?c!hI4fk@lwt&TvV&#Y=X
z;?o4qKuk~24bTXtP~_Pvg&IP8Q9Vl$0iW%~VxGGgH*MD`eI#2c=kCvDpDRyJPUez}
zpwxq}pEz+M8bwkNy;Yw=XNh!y#R!YZJSvu+%VzKAogXQ2xmbKr+8lfWH@faa(Wu_y
zV<M9G!NRv3g$?(!p+APCSt!!CNroF_iO59OTI&)4fNrbX(%M7OnF;zuxH_OAoyScx
z@t|%)b{?VhB($2A+ZLCWyY>`9qG`Pc)9fOqxUU&Gw1S|z2#o8?eu!X&#{(0KJru2U
zm%$F{Gd!@ncxVM^pJWx!FCwAb_=&7@S%3mB7Y=79C$r%&=&HRCKn)z1h;rM-M5WRc
zXE5<<_ccHaJ%tpu&;b}h;6wTnp#(G+eh(tXzeuGQ#w|Kf36CX>+~Hdwog!nMg2)Ci
z=Qu)ttJPGRVpi1iO64GqA){nn`S>{etH$0DmEd><NV@VB6)4A;Ts(dZSg-)szh&GA
zSeOpI3_R(>q3;uaNJ~_JWKZzp^d>hi8YFReM9)vP!mGXr3ifn`IAY4?=o2KgK+2n&
zW?KNgAYi}z(oWR>gXNVDdc$bJOt?A?-=LW7v`b~I*2=>H5FQ@iCl2t?rO0Sja)<|3
zVdu6OF_s){YVgf$qTwO3RwJ6}zt|yIje7lHyj*UGg2UlrAXP54OSxPO3*Zf`LWX01
z9Y!+8<ya*kUC3kXN@beQo%Yh*Y$BS$=GsSr?v=P?4%GZC@&bl1!vZdU=otydksX+`
z5mZ;?G<Iwg@eMWJ5iXS-4viit<nE}gqw*qc$$Q??ml+{F2$*YDDv4s7pN0>YE9k_*
zw#}GgEi0i{V_U7Q%g%oYK3=<v1d&n?=S4ZY(kXNfCmbA>eN22P5;-14Fm6gCV3fk~
z=<zE{sL#Hl6#PGIn!h77Z4Q|DM&wm|@H^_g0)Y|A1K{A|^7si2$-#w!-5J01k~%7p
zwYwfz5^SCb4x{=14(*DR(hT|3sQkq{Y0Ar=%h{K0CXu*ySU5Sl2>BBFnBT@s{~UVd
zWav&<%D)#nnJrK%vW39dKE5VINe_Smfd)xWU=Jd%T?<xGn|)(132N8Yz}2<vcz^8b
zx2vD5X&myR%aXA6#%tvZH3D5cUN9!tufEvk-aNb%CJ=%M3P~`aC(~X7;qbWWzu4ie
zFKK1Yv2-&*IIUvQ6TEnKFZCH;jq{T+%Z?U`^=ys&^5Ab0*>2i<37a2$@r664@EY#|
zez*yC-}i?;6Z#90arHDNhf6t^*Z}-T;Hr)@fG_!q4%5y0{DsyhAlWMA)^>->5JkT)
zng;EpL`(m;ybEU}A>rg`z_<Y(5MD~S7Ca3kS=&|-ehTsxt%xsL3(|IxJi$w-+Cvf#
zL@hjUfEnOTt~0X`F7F$SW1Sq_j^XAIbF)r#ur=!@_a)MF4^pu+vJPbv!X=0^nZPZ7
z-)DGR!z*C{yOG91`Y@7=(Ebkm7A|?;bM;F`_$}AEQ*EW9rZGQnn6YFID&W(uTB`8X
z_=@GIb>D+Yrv?Q`vXD(aXd(U@V(RrYt2x@g4_pZX!h}=ESZUxp;gTLMq)-q6*K+kM
zSHA{YE^s3<^N&HM`Z;6_{AIvR;K#~YT@Zs4_OJ^P3utH|hA03+hGiHkW-%ZxxOTav
zv8mK23~7iGEeJIs{*U(cqE>!DNfYQnK%%rIV_3q$J9*t&tKFV<(^&AZaN>AsvRNso
z&fGD@;~Q=~c4~d)$}^Rly5;0`JuuN!zGFL7Nr|@x6-w|>(|V<0iG*8Er4yA*CgQkG
zW;#`>*@<u?9JQOZ*bV7o&9251&19@-H>>f>&!_T;i7-`5rZ)V6J=Hvh-(h}2KhR(W
z&m5|@f&z>cWco{=hZOx;ti3r5DL9CFw2F}-j@I*g3bdW`7NWc;$~AATB`nQ3b3*D7
z4*H+H9WuI$XOiGxZ(Ce6#*bA47`9k07Yj7S1xJ1T5qkT=9f#NBDs?OojvZd#*jQgr
zFfB(M$K6Un-&UxMj(omZ_dV1Uer^HsHds*<WQ^tqX$2f#bL4!c<x3he!-ATqkQoI%
zp&Cb@7nT8vKygA$0IHH_;M;IPFBsSF-xm$*R}TcnaCG1P>y5&vVUoQ{(gCQRqO3Fo
z88pC#qDU0BL-X+F=2PR@2cE)^`8IR%ZJp2wtXc)<p};jT!c?0R0pr5&gxrER1jCFq
zQ`mzuh9j(uQBkBtJx@B62f<e_=dUz@6oWaU{_gXi|2*>?{rW+~ML2xq-n9b<Yp;WK
z!K>d2Kbf#G_-bonB9l&MCMH^=qw%jAYERYg-FoY-bu5C5ysmcez}me>4nxa+@Yk6U
z>GO>HqJ9s~;`E$?25WS*3pDy80H)lqZS>F=N%0Hr!`=sMqedSigV!9LBS(=2*_E`?
zfg$LN1KNX9ByrG$hQb_(4EhgykpPD`iEnHRSfdR%(6!QV830`DvKbPkku++fcyKq?
zQuvReR7qn+CkSxU3nJd=UK1SwQAt1Hxe&&}Tt0+2!W68SY+=~9n-|ALDKn9~MPI#f
zt~gnR5>Qw4r-#=L^b$cB{ve<ZTqs#biVgS_CBObbK8}wKBjUjDaiRp-7?&jn|A;v4
zjMh!8huE}O`BYs~f27}{zkfv^T$hR+0_@V4?002-;wjOhq7wm)=qPXq>@F?I6MTg?
z77l|vpQulvW(B0K5f26aLwa8nxW`T6q~xnMs7EFI|E-I_&JmT*&!osAxecs42h%oT
z7q=3rG*+dB?TJh?h77>e`NF5M;gY9=xLYhvFL>S-m%^PoWJ1y%9^wnIaw8sZVjVB)
zW|CH^)SN69oqBE)j{iUiM~phwlt7={ES0Pzs$`%bnW<E)zp$-$A@8$#1CzjPI{HZP
zaNw`;YS<LUe2D-;0Z!GP7Fr%7?HrYB?2L}o9y6m0>@arc<&|xJ5v3-TtaY_!IV`HD
zL(J(xR{Qtea{BDq)3@xyQar7Rn3_6r__TDdK8K2#>Sg~bx@gNk6juuEs-R1Zg@v1L
zT39etUx%ynXL?^ZuOAhZ>6h4Mmj^|G88kTOJM_SW`QYa}MaWZwGCqw@B`zheqWe7^
zIs*U39}j(1cwBAA(H#dDp&89KqAM=vL&3WUlEofV9(cj$Fkhr9aIvWBUbI2vzHN@V
z)rbro#E#>jYviRzH!uk8!Aght!8`o&f7(%75hFH%C5p&H1xBx21_Ow7a|kyZsl|-Q
zd+6PN)$1R)#x*0dy$!z$usHr;L)@k$PsGy0fNcBwO%)2p0HiToMzS$vx~n3flfku~
z$p4T<fr`LMHhj&i*SK@5u|fWaJ_UFx*5K=ip4|ptgzpjT`<h>c%u3zUQm6-;=qmsN
z1z!_M!`TS$1ga&C+|4EpAW$v=FSR@L2jLlO1NrQ_hLIwI(-#}`40y7&wA8AK7X;KE
z$p2ce&n&gtEA$vJP7f}qjll()rPKzuJxJW#%VzuXtIrsPM|l++)nx;Wz)TGun~zK)
z?>Sc2@}WC{sjD9x1pCvxpZ|USU3426<TJh%D^Q;WKDv^-%M1Ag9TT@8>RpE%q3;u<
z=MT2T@HWAfyvB+zkt4qae!RkZ0cK~J<~Gx-zFv=~T9?O)0R_|JIN|_DM}uwZbEwxb
z;%Vx9IQr>?lJ0<qlyn8V35SZ^BvrBMFRAJVZ&jOs5Zykun<EZ&bTo8S`B){DuLa;$
z%cm+IJI5wJri__o8B28g@{FNA#<3Xm*?cqh9|)WOA=c!BefT3k$NoO!_xFfn377{R
z{8nRt%UC#ck4F3)f}l4!EV?J5q$Wb+1>Na93WkIoFP)y%jR<-5J+~<Yh=g+O&bS~t
zw8W^d5wRQJDIFmYep#Py4aX<wbRRcgeM}p?<;uS1gY~fP+2@x+@@CTK%k1;zSX1*L
z0^jT4o<}wZ;PDZ^L0z+O8rQHlw8?FwC->qyMEig6{UZ*e7br8YqWFK=7<(~xD4P1W
z_&i0Rx!hAvAF=JtD;W#WxCnV<k;n6}U@y{gtG&F4wzOoRt!hMPL}uh&ZJLOP$}qbb
zfekh#`B*KvueCy^dX4F{5$0s@vluniAACaHIrv0oR^5FtYW$bCyyY!1?>EEA!S6cG
zM^cEMZJC~9-JXlSAJaF1Y;vC4X513Yv;OM7W68{WPM$nzd&y*L(lp=NoSvpT!R^^H
zX*6ZjZ5gk&=&6|lCD2kY0dD|z3>_GzI(SR%KhdI0#1SQH4tG7F&ti06T*KIsqr?^Q
zEDd~|*Tiq0>_sV^ou1C7OJpZ_UPw1wtY&GX3n{2lQ|ZY<!%Jj5@46(y%O;PS*@^x8
z_D_5u4sFZe(E>s%#Xo@jX1I|JBqtCO6pKUjS-cy^zl)_($w4E@<cU=3#&Dk)`*~y@
z0S-ze3%TU;`nz|Gp4tkfL77es`4S0;ho!2`#k3eTFkHe$6gZePwrl2v>NiTQde(Ec
z>(5*f9HbhY889atPN&~|kSkjdgljXA7`&bn4c>OCVCD>@rjEDCYlDlbdoYoBGybR3
zy+mR&o&G;qcXN|h#aUSnB(BH6IH8_~F8GazU_k3S@jPA+d;IW97I2iN3>qEj5{cab
zizRJ=t5EuW7dOEP=DWL1B{JF8zI`pEZ>b@uemD$uUpu$3v^WWnbSD>==JRdj=b>a2
zuOUlJYv2CX%y)Xjcm4>_@VCceaFZz^1+&eU;>&r-vI?gdRwWfy<)p`#;>+1c){HeP
z<-yKNzatUj9kJN?mwt<WNDMB6kx(5t<|FF2;Xk+n8unU&R*thCQB8q{Q&9i_!%uC6
z_}ByE5bIz`7VysQP~j|HqxlH4Ro^1|J?fG>Kc`yL)AR)9_MDeWC8p<=m*=JvDXbd`
z8}XT3al4qCPQdf|funHqE5V^Dm5Ox{(8F1J*Y($5zl4?4(Jsqku~J1nI+xGo@^gB7
zn738x^$J2XAP-Q=t0ukaX)jsjbAAiKh}tE6V;3G1vC}A6IUR$8Mpr+iJmcfu-v;jb
zH2Q@;Ggu|0noZh?#U-YQy`HUsD}>Lx<3mM_iRsZ^L6}!?G5mP;#p+s7->iF<35oeX
zT&c`^v8eqPafxYYO4>-L8<TT$3-kNnL6lDKY{92?%nXbuVWkpnz_JakA2?8F7>ef`
zBT25;o^DmENb{YjR$J5U9v(J!Pj|dE;%f8KCD?I~gO@o2i{hiO{X7FmAZw^4dyq?f
zI6jsiNF0FA(OX*4@o~!ljWs#eGCo32NnL(AuXnQJA8$*|R@>(w@gOt?azL^G^4%iz
zv4AJ`l>Kq&^o{h?<RL_!i`e_t54W4O+8Tm2h1XZ>h!L=|4lTH~R;xAJhu8O8h_9Yo
zsZag?w7my>oJW~IzVp5_@Ah8Q<&|U=+ge$&Ey-~lN2yLFCXF<LR?<q^sO)BU<r0!0
z2nQV1bV3!KP{Ywf6Xob7<ml}L99(EeIC@k5-{+b4-C{fC_<jCS{O-K-&O7gvXP!RK
zMDdd8H4r4Qy?tb)y&d}p5PGD3820&$PJcWZ3|XmUx6ggkU@uOhNF-A5&&DYfeLJ4z
z?=*aFUw1M^2dKrxy0P=%K$nbm?x7gFePZ7kpeZIcVS3wRt*tR=?G3jHLUYDG(MQpG
z_jE>O*TBJ@D6qA!uMHdHTiZxGEjAl${4a>5+6QnB`HrnyTYLdA6%F{~e&{vg{y_AP
z1MR6;z}K>M>kc|ctVUBw@0-IMX`dV#K0XYLm0mpN5LMv~ReS8Pqx6s-VP=RLW2CW^
zdH89x@sL1SlOK9UIin;2)(ig#D|*&hw(h#7FCgbkz%SD&qAZRhHT~9(C}8@uM!W}0
z_Zr|2opn}!ABmsDP?DpY&L-ziWL9a~hQpcDZ}mGwwl-{jgZZT)*O{)%FgA|ug4DpI
z*QUkl^i7jlf-vW)8w)(ja*ZaqQ9vP$49SJWkN2#iQMQCJOuc|pJHAYg+z>)3_&42d
zuF)eFVp)?v$$WS<Kr+9<Z_`p=-+X|F1Mi6ld}H++2rI(#{QpB=h;^jCbp2oZBG~e=
zx$%GL%>;4oxB$Pnq1XQi^MX4-XU;?%h|3|Z&$!4FN-Mc=lDLgoC>RzgSv8;%snHl`
zydNkOckYpXA}cA-8*JbP-Lc#_fSRMD;nBz`65{c2=Qe_yZ);K(4zt9jl`DJV31j<?
zi5<OdPF~w?z?s(_OkO)QG!*m=dBPnaG^YE2*SH!qsPl|1i@5JRqjOIGi2c&Q=2q`F
zs6wjb>rLG~+pLKl+l{8ElNWugSDt}W0}qVC<I@)$3cF87ggBfl9g1Au*Vh;Ci=U%^
z&g$*O@#^H7&o&S}R)dJE=4ceLeBls<b;=TsExgm}WveQU6|1l;GU|do!`h|*wm{0v
zKm&QRVIBiZMaA{d3?pJ8oovv7kp4J~#~Y8gH6cI=RIXlxyhDhS*)#k1!wbVdeyfFZ
zOP;=m(r3){B$A>RdnWGjMx#v~ct7s*J8w{>T!E*#EgnauPceqh@WUNxeDjatfZsZE
z58dn^!jX~v<9)pV3}017I14NG24J*h>||Yq=HdmeS1<*Fe2g_q$cuOPkxiM{59ATf
z(td}mkSBP7Hkw#xM@f(SCfJ3DnIXq`Sc%3sEVX8-f$WHgaR?EebpKy+CNzq|#)DW?
zf*3<g(B99YNk(JM-?7o-MjGe7&_dt~42fcr?ly5d?C5Teo}|rr%cIEQrAVzvhr`V;
zal6lVgr4)=?w2%&!)YKUdOYlyT{c(g%k-~WJ%<Hg6_oQqR!BWUPQ5Lw3*1o_Cq%e<
zp++Oc1s1P{H7&xio2_O6NyCA;)6$zG@8K5!Nw4jO5X+8V0AA;*_JRb9Nq8FNz*3St
zsQu;n1CX5n2lQT#_#Dp0fhsK&3JhF`Xpq)c%ers?lr#cK){iV?Aos$7Kq!R0fX5$n
zowD%p<EJhTCETf=Ow_*DtL*Qg6^~fB+Bg)p_1Ppd2C<WO3!<qLCvGvM69pO{>1l$s
ziVn$u$41X?4k$<oCma`i&lON%y#sAi)ne9FO^w^D13D(GmGP0TT~Q0Wmg6_JUjM`C
zmRr-e-F92+^s8{jVjSC+t>|?vn^%yOqCq{707N0_SiBMeoiF943;N^8m2j9ewDog!
z)qvyVl@YNDhg$+flw8xL^>t0>rHM9Fb@^dL&+COgKkIsm>!s*F`bSaYN&Sdv<}(zi
z1IgWXC<Ee8dd4-6($72#_1VUQgg8<d5XYuMLq=8;Vg$&&pAHBdw^a><N~kizjl>cV
zQ6gm9)YQjJQXihNx|7(e@m<$ne|@VxLO;Cq)>~Vq)6)ng(cZN0KGTTA0^z`QG^!A@
zLm$OiHOBCLy0f+M61&{i`yg(35rl9H&bJ~h|9P1~!|d+r^ZFA(3}l}Xk0Y#h7;#1&
z4TM;$jw+Ax1voRJtr?M0B0ggR!w-=taB)j}TiYcz`{WF=*VhAcz1Q8befyB3!9Q*1
zaN2`V{bpjly}22oL~tGte39bu7{#C`nhk}USjAj$++U4=X_?YuBbMpmQgsNJST7qf
z>tAL|X)eHnk_<_|E({RZpN1&<e5-+l0Eqsr<2G&o+t7!F6bYRbPrjZ|+OB{qVV~7?
z*bP37J+cQ8+xV%7M)gWS8)Oo!H((d=8%@<;ZQs=UD0lNlYqq<CcxW>vy)#Z+h^8>R
znjkUhcl0nh?g#{0wNsn<JN*PyW{TA%G@@X<iChr?@(tEMe*?hyd6h`Qi<dUOdE4Wm
zK(syOFphU(uWeFp#R0kP(LgBP;(2{XN5=>upn&HFDXG|cnpsmRMIzbRliJeR)YF+v
zK+y%h^Z5D(uqKy+abcv>9RN~XOZrrzvy*nawIl-YflV@NyH3SIv5lr^#2Ri-iX@!p
z0<or-gM}gTfq?9ODtBmd@(`8u2RS|*oxaDR+&2GAxvPixyN6Z<Vt4fU$Z`SRo%Vwo
zPr*47_P#dkWz?R8nsn$i(GLsbt!W0)1fm8+KbT^G?P=WViMb@%(<Vri9&dtnkt*xo
z?Id0qYPs#Ume6HMzrT0OHf+jO2;dt$c#u*EYZ~0PWoT=!KOFXN?H$5%igfA^&~pR{
zRslbr_xk<G%LZ{Q&vn6ze~Sn_p=;a3yHf6<A$RJ|9fLdCt`1X;R9`C&LeZ)4)e!uL
z&N^$Twbi^jOf^z{t*w*_;GD4V)opn7&T%Lw();KbtbOTGT9O#24S0O5xtd&Q=8r6j
z_yF{!ZC!D89O(i$Li_6;=}L!uK4X_krMCQ|GnG=iC~E%Z#9l-n5{Kh3N3FqQVDqj{
zXsK{!N~d@n4$@jD+=5R*H{|GVm#|lkJpI{UMYCSJ2qOcJ>LZ+JQs9}-SIw-^)Hq7q
zF-#8;ZUSt2gTR{XsDz)%tEb8kKw3o_wQ4Sv0#ebd_SJrg?CN$gl6a|7+ib-G9)^OJ
zl|{-X{PBrgnhhT77rw5pF7Un5+zvL^2Schi(CU*2GvEovu;<e2mQm9RNudG=a%V)L
z{1xG(-=j?7gMS|O$GI&l7HM+(jJ@Mmy&X}b-N8UK>~D)TC*zT}cAV6Q_ykx#V>@=V
zY+fWD;zX4X`~5ftnlIvbD|`$5UO4czBYv+!i=@}|S!h#8VlNlsRU+a&4ofiMFDip@
zJ_M3PdvIt1nuA@UZsKTSk<RX`_wBPbza-HhUsKp0OLWOrv<86*Ox50znW>!)Q%k)9
zM^O_)jtk8<d^}u`Rz=#C#Lg<0KFW)?SYXQz1P4OjU88)!*NM4=l!02=$ppWSBUSBw
z4Y|4uuB-Jo{M`pPT<d^o{%&2I#yX#$-8H*fUG7AEO%2u7KK)Ql!&)L=a5wgm=_oLL
z1d{mYCWs>t(tiLb`~k}BKa9gT`3?|3_xDpIUX;^#Mtm(A9hM?;DfF7n2*vO71^e5(
zEwz0IShY52fxN*~v^jO@HYJBcp@Gc@>(y}LLm}GkyY13cb2LT4fQ+`D-Ma_3DXY7^
zKM1v`iZ(-CdTB(+;b?T=FZGHnqSwF+F7ZlO!f78k@7&hQ3A#7!>i{8{`$D`jda75I
zX4uD%Z0*{0iD4FT5S6+AIw_h4_w4EF5@P3jNmcsZokDbV?GZ1s{ExYqjQa=`F0H9c
zq&l<J<LmDmv(6g4%kRHy@GNVruOBiU_*wUZpA~<BJ~4pPsINvO<ktdwU<CVF<Aip&
z>u<1Ih(?)ZIvQ76-`s9S8+eEQSR+6!XPiKi1kq_Y+xNMvMpT+I&ZLK_T2*Wp<q4#h
zdFuLfRoJ`Phqv?;WA|a5nzg}QDklu4W|+f3J4mq4YhwK)zPLNk7DK>bo!^OZF`@ZW
z((_`PLlKR&fwux`!J;K@uDzWOyL9qRiY|}*Py+d)K}9Pj>nFJ3W}V`qHlf;v*PUw9
z_5&P+5bFs9o8!?JQzM}puC|gG%WCUS`QZBcalm{Ut_j%kM#cNVF&)AwfMCFBG-;|d
z1t6DlnhaVr#0m8Sz@UNv$KCC4&?v!WY_~C*QXp=Ehg8#q7#e!aUGVA>;jZ3}j^GHk
z?8I7n<hItXXaX@uRi+8!Zec%G->`+fN|9d@D<P`h50MwX@P${LbyoX+oFp8L`CuOG
zesXh5a}0;8Z|Q@gIM^Ssyumb>>4SWJB(W(EI3h3lN9$*u^;09jd~|{pqMVVWVDDB;
zLYLz1!|^|WEBtD9qxO3Vd?OK9KOjB>oPDVbhvgX^xB~N1x}#ko{X7xe{GABGS;jyp
z8&Dj>++^FfICLCzCUo=NL~ZUSRyI^85Bd?!rISyAatZi;X@v)9CT4)fvqynrBsO}C
z#iLP(HFQV3r`|+G8W9?5nizVbR}$FGE*7FtgP7R-ZU2D-mqa4z@l0mR-J2gf`|PtP
zMaS#l<b#v?n036{kwNaJabFkdvpWEwufF~E+fT<?8piF%jvWhb*)o(~J%1m#hcvT)
ztByWmm6^gc9_)iP6tIM`X5D5QvYx9KG#P7>;Yq8Vnb~9Bf?-SPn8<o2w8xb803L<)
zdV|jLI$at41E<SfeSN`nG|_1is7Ei`T*t!VXlwZ0+yEVz_;NgP`anPYM><DtPc$Ly
zUt3G;>IqFDY#NrX<9piCz6)^%CQ0Hp@HSDjL#-!AqajZA^}|4+l~hzjvtjy5Lv1Ud
zG*g1P;F)-+x)4qfC*9!SC~VOMKV3`Hxk}_juujeh5y$yxxZ&jAwZ>O!ufuGSf}+kR
z5ZVaLeZvh65m!pJlm83VJwfwD^E`R~3B~K)CH_!g9v>7hf}Oh$BXy9+30#`yxxsZ~
zxx<~=MhluD1IkG4rXxJTnh`^YGWY|#*3Um!Tg0$`yU#ct0{4U6aRb;I;l5xX6}tdO
z7zT$%M~4vK$$ddAMPiH5cYzy6X$`dEm>`cgv{8?>gi7s1??wj)w;=98;I<e0Z-c~b
zB@#I9GjN;#(9YCt0R%kQGB`-Ct~j`;W>T}yU}Jnh=lh)pUG<V{6=>q2{jj5BY!R$e
z%tEdurERJST1SQztUwT@-MdK!K>|tACJ=chVmyw8jC%kG(IbS_JXOFO;o37e2$r#R
z5CpoKs<Cvn)LzlH6@ei9{Q<-430=^R;Gr~t&24SXG=N(Jk#O)zcmQLVjX*ylT)Vfn
z8us~JdO?WQ)|O0W_wG!lrL~rNn1cdc>ByM@!}RpffQ}qEZ~y~Mie&s8K!<2DdOYwI
zKM?6k<3@i4SKtH%xn>>mAH{wmYwPuhHVQt5;RB<FL1EVy&DO&<KskLxeps1PM|}D<
zf*?f?WazjK4X#6lW7&>j)OB?fE>45$I00<6vbw5pyfFc$ZP_L8r7D3|9gWhVdYG|~
z<P61wmL)rV*a_-M!(C>JX<2~;I!WD)e2&%={X1U&YIDq^q=92r=+zE?YioCRYpcJL
z-o!Z*2F}j34+@LuY8vB7ZQcvSs>kvbVaTTb;0)xsc&u{<9tAj+;}!bZs(^UE$tq`Y
zZ^~$}0B=HKpM)gQCP@5zLOPyE#M4g*;dRmGvD}lo2FE!U(*=3`uQu<jEjjS*vH3B#
z=AOX}*eRA3wEVz9x>%CXDa;>$A6M|ySRw3!+aHJQN{`+BPU7d$=wv8#U8Hw#cp&6o
zj5_*AG)qJlL%w7zaxE9Rb{q?tcD0XR`x=1ufeQ}2N&gUUJsFK&8;K=-p~VQ8H5>Y*
zj4t|u1H*&8;cIn~ae5y%z42=|U)xZJw#hM0=)@j=($8wbL`$3q6)j?-2lPiNa>dg7
z_O<0vmtYMAVFF-4?N>S0G@fD|P<<6t0r4M%psU7F>ab%py#wJG+v_{hG4D5wP|r3x
zlRV^x4*d1D^_1SKT2$E!v)+7LHS2y96(W+0o@;uieI9ypcZg0V-_`^DrvEnEz>6l;
zjJ~#>0DF<vU2WL4GY)L&5<u`;!q<v3&9y|C`5+H=;-Rz#areXAiHY~T=RK|QOXF-?
zaXIV+6FOQ(hxA&iONe!pZr%K{Q&bydu7T?pEjoR9h%}v}PJD^e5ArC!khM|Em}$bz
z#NQ&I8m7+n$chsB8E<mPKdbN%&7uofq9@s_1y;?9jrOCP{5)R2cV%}q8%jesO@ZfO
z3{&54J4gzwOT?f|q|=8E3D=>!dHYFvVr^oA*8W6#bz))?^OBx8^$-vk)s;?zwS!9t
zXHs%P*G+i%Z_Jw!9zG2|#8Wu^o8`7D;<V4PU``E7p2nnx5l2aFiZOw?f_3d6bbxIZ
zMtO1U8CNW~F<K>6J26TCgeFBK5$l0pr-3Hi4!!_PW*uGLK!ab?jqnE-?MJ6+2|p%*
z{ricFk=lu);bFYJoP%0;#W^9Iaug27uO+7X+8FTQ=I<=ag1s_yI_X~a2O?I`V+9*=
zDcS6d_V$+Z_t*C0T$*ZYiz7gB=toyyeRVjHx<beKo0MS#4jODviy9%L6JjxlTW~*V
zR8IFp3d8}Vj3?iZt*A7fyAd0qaV*ssy2=KvaSlm?4)ciGorkQ^-%HXeBN7@8dP<{<
zG~UE8A&=-8h7JEnb<vMMdXI>s9!zmt{Sa<GEs*%k(8Vcp2_7egch{4Xsc<p?zq7%?
z%_qmbl~^nW(FA8GjT^?5t<BB8=pHAE(>}yfXmh*o^wD!~3}MAXjidL2xOeuvi<>(3
z^amr+@I~kNd>(fU>a%3(vw_4H5xFQz??mAS(}fvm+udphs<Jw~u^4!<3%Smi*BuHd
z&={?M1VCf#GSJi0?iwsOKnc2x0dUvHgCs>cjRM(=;(CmBBhUv$Suv4C{5w>QBg0r?
z`btZeBqIw_k*#N^bEZJ<X(;(0b_HN4LB9w(ZEZiEG3_EgPBbV8mYjHz&DU&82fU}J
z$I!}f>Lwxf?jY>*bRk|X#0N-;pz+puZM@5?E`($gb`|Z0u6Ho05Es&pG-))hfe9Tw
z^73mE9^dVB5><1!Uu^!FswB05hdzbNd%VPSG)9uV7KgxHQVTXobev={y^rQR_9m)n
z_q2Vz(T1VN%+Uq*kd_RKpAaI*6^|NdT2D{IE<Qq*RE`WtwzZy+4b~Hh924v8U#&CP
zNd^n5`LvOdPL=BE-X`I{b)jDAU|yQ-_wMHnUu!yljYJ|cGE#MuIuF-vFn}Xx#NCrj
zO2NDGkc)xQC1{5i@IA+&+yG5qgRg5AyNKQmd31~!d2;U~3auq)f*<N9{NZ|rDJZV}
zAMx`vDyiMDQQ{SrT3Nr14ij!9nyxKFKy{kU>8A+AR2^`nF2&5liKU48YZd~lorjrd
zCIAwcw4a50O+yj%(WN(7>5W)+dZ&td+}JDxC6RBiuO~jdcg^pM#0ee76*jryrj2ge
zaD(3@OajicFg!!*AL8z1h||$SC%|D;<HXa)8S(l2ZaB;%cJ;n}h*b?M52w%D)7y%3
z;IL61e(kVMhGV~k8I)eY*@^K$oNS^Yd<+|haM$}#4^Yg4*UV1Z$HzVs!>yLpI!vvc
zq$BDGeoe%`T*rq#iF0KZTt`V}U{*>a$9e?Gh?P;OrQ;qrh6qBj1iKIpsC*Mt5t@V%
zgQAfNKOHxLh6$|_&q`45ZgB3r4^oc1WqW7y?G))8DAIqy!LBG&e=!+&oaJe!b%{ek
zH`k(}6nS8$EKd_ydn<U6=pOQPhFd7!=fT&!<~6YA8tze%zEboyh_fH10=qm`e2OZk
zkL*pihoFwQIBa#9wEnH9TcH%Wgg04Ciu?iDGTI+&GOYGp)Vj?#!gI;%z1U|B#<~OT
z;>LQyKt5Wa{h(Frwr|!FpZiLuPZPEs2Wz5DzM3)<vC()KSAaNS0F9lA1nJRq-XNj{
zyv-^ekSu^ZiqgWuaO)qqZ=I9_@lQV_j*(Xr<YRoCUBj@q@hZTDdzd=jl=Qh1doKh)
zsbRwyiX>l>3J+o9x<Z803-?mQlO`%QVgYRYgeM4R_*V#$=wH=ACgS9r96WN^K-?gl
ze#{0KfhcW(NOFMYG=Wbiea&f{JE$@T&&z~Dnez^2Ft4F>vp<1vC#cjwG6JPevf0^8
z(wxlbZ{x%==cCoI0}SGn3ym;0Ff5wET__l*%&1f*Jp$~zS!YRcK780qUUA*#(s3JH
z6ef%gF&G`$jTGj^u}5Q;9E=Sumg7COr=N6%&H!s9MX?tM(t-bg^N0#2K}E@wzo#Fw
z240oXp>~uc1lZ+vCbG$yHoQzTTsO612X>1TCl+1+UM;rmiKJp8T7a0lq<TUOb||0x
zJK|%ShZ{f5IbZ!WI0qP)QgPBu)iwtS*9Ofi{rk55!C4Sa&b*T&R^fp)G5MY^ed$Zs
z&xHz#paBaM2;5PmwWfBr#vwb>cgL={>Y#I2`@vXhbPLXxHJ2QXnDfh`1bv`-21nJC
zs+vRiiRmk3iZyukoL-d}Ya#HoA~R{z4t7x06r-M}*1WU}trioS1Uk|0*4Fg>s-|kI
zxN{6&_5=Nc>xNEkpd{MGycO$UcOnMTHB}v_qctYzz^pUPCZ!ZPSkk-_$swK{9;AX<
zPh#uAY!W#ntZAEIne!T<b&F%>%__Mg48h|Bg&a05Y)!Sn!@w62t_W28@z&H<#LNO0
zP2;**6!Sv4Q#%hqQRhZ1m%8-cZ-d;^BH#<DH&e!o4I|NW{*Ko0egvouhVaw6<NThu
zi3fQ4pv#aJwph5yHyo#UQA%N2=s)&5p>;;{rDNN<z_0JXe9aTbUe#=ncn1Gdj11_6
zjfz-rfi*&l4QbN};Q+ZGIzKmrKw3dWw28c<4AT$ffwv^i6PS_fqtOL(ORK7{|FUR!
zAm~5j4vZ}UVa19BmJ?oYG2YygTJp}Ho<K15j`qaifak!A#IInK_E;0jeHzH?1WX;C
zaD=?0uWE0@uEt*Mpxmr33Grcna3CC=_b#Pcn&Vgo90ITy10r1-3%Cz$9!s=$z%?Lo
zINf#N#ea{4fbOg_5w!9&H>w6ZVUjDixC(pdlaW|Y_u%G+v&b-Z7VGc~;3GQg?JDq-
zM{qL4sdk{+G9<ZUJ30@bf4!lCSsWH$fPa`?6Aw!8s5wo0Gt_PxJ*{phF21J;uvT{q
z(lmZT3C9v(FATk6>~%v5hG%>+g<Wy?-=DI~<Tsw-Xb?8nDK$aRrY}V&5f;a5xs97G
z8`P-xQw3*lH?WCdc-Ty)+=G|U=hmDrtko)vKoYOk2^!?wU=XXiiPHd)?6pP%!blsV
zNWeq@ra3|k9QaGkz!P9GXyWOf@s}gQ0rnLb;j6YL62{2LMKRJ5iBXgG^f@M;1Uz$F
z#p{v~OpJI_BJ|jvokP1XqDV0C@0XX1VZ%f6TBr50J<-=Ux}zKOPrfPlAQs@KU=4ux
zJssGrc?7_JH%kfZ^@Ik|-!Rb^{OUuaYxg+mNlRGh68$lkK_agBKrFPg^{Pw;dwn~0
z4qe;R;Wy0i)tO9(*|~H0n$4%Tw6r{7WMqr6rN93%Vn<Uzs^}#>y|~}Cdnys#AwDhx
z!=9Gy+egfuBO^Pb?XYZn28Va<G)FR-*3B_^$c^mTGhz<+_BIEbg0ZND4amdh$k^C!
zZ+H;>tNG;jU{4UDw}3$*nC)V;4X*_7LCIR!(k_~gsJ%afw)AN^i1gS*k2UnxU|4HH
zh*mQ^qXch7g=kYn;Q&?`yNHDVHVDz?Av`+H+`=#;!@8uHq;e?6q=L$$EU`YY_N^ny
zH9#+R(u-UN!yCy(uf<%tL?0X2$;htPAzf`*u1XjB+``qfe?QPYYwJK}^;Sg!6mw)`
z|Nb7hh=xKvJ!eu5n-PhavSIPeo*sDQVu)>dl;p9nD-Br;gGC?G5Dl2dJpqM{1V*|j
z2(f7Wb1*_$Px|mCTOAG8y@2#|?2TU1UJgS+?!fD+{>D1?I(@>m*ENZ6Slm13^e3lk
zUQSTKKJ+<Hc#)W*N1RHd?mVc?k5fZvN>4rkYV%(E_^=b^q;@hC;|=mOIQcB7GntJ|
zpI8Hi)TZ^M*W3#2?77fsl0B1VQ}cx<t7tVUNuC@!09YD0nOHx-b`@n4IB5K{o`%M#
z&lzhS%b6P8>u&~!%u>I;Hk@NL3_%KqvVc^H@H+6{I=m*@c`_OKQc6rvrR}im+Muif
zy5Vf3yPe(qghJ78?JGyHG)AlSpOouiyd(0XiI7$m=_}z{P1LEx=%W<E(<d%ey=EVk
z6s`B*oB$n|arBjO6V~fG_)Lm)4w(&FibkHE?JJ~bWt>VpJ?Ugvq@o3ee-uuDBwoVP
z{M!Wife^5pk@dLP1}|>Sob%6QcXxNfYBt={ns=VIyo+s#o{KVj&e@Z>xapj8&I!1^
zmr_7_@d0{mO&7z@ai|j#ZHr#_l&)^tZ8Tf)o{Ra-i_YaYjp(IbH}6r^zD;Y;$I}iG
zlJdD5APVHH3*EWav{07-i;OL7zd}~d5ZguFBVYMGddInvg70J?Z*ussQ!IdA0fwV3
ztsVQ@;XfOL;DSIEIEoRLPT%&fEs-Q0coGh^^!6AywXD4j#%8w_i#B&B?F0QZ^shQ%
zUHy^}cR)4Qj6*YhIODIQ1(i3qM1#@hj!4uBnyoDes)nQK+mcD_J?~FOBG4VgW9?g-
zuxY*h4!s=oHA3)D{|?pXYP@$ZnBKcx?XC=bc>4Omv-3Y19_lpy7`<9<6QUnRmc|pK
zhKK8LX>4slAbM<?!WJhS3f$7VW5-yp&+8BLAY2tb7>=|L!?R-N&ar(5&fGC*7=t^`
zJg{$U=T02HByPfKcb=YIBZJhizRVz;%r(rCezyyeSZOa~&Bre}qOp=Th>*-di)|GC
zo)A4rhdZvra6#J$%>$;Ce$m`y^bt$g2!yZ-T*%iqFi0DE9;SodkT-aazBwt6EoUe^
zsVy=S8xs?2_H@z@|65}>6WpxUvfytX!5MuI01veR180DZE@iKJc8nq;AOG>_+YE7+
zt@wa(=_FxV*-Qts#F!zQ7NQ`<7ii#-&j`SULc|lpJFmHB=Wqf(zFtpY^Oh?d=zG8c
zl%kV^UBX1TR~=D%lT!d`v4*llUKt~ApdQl<_V#vn8%B3`Z!b11;9HYUeRx498M#sN
zUZ+Oqm&<ZsFRC^|bV|6=usz)kcsLiZ;8@ihNr`$!C>OeB#$Uuak-m=jCSq~5my?e3
z)9ogfx3A}Z9Dfmv^C!_DxJ`>VXiUZ$+;^DcPob~zAXaKT4(IHsSjXiJ0U81Kh1BT1
zcq0<;>^r?*K{D;#IyRA}x&m>yXulU#6OCd0`2^-RgI$d-;k24sOK?dOq<5MU(gA{k
z)tB1JmIjkh7tK3E04&E{!UebyIEZ6-FS%8@jIQpz!#J~p7`chxM1&PS_uM<~IQQJJ
zB_jX$u>c|s88cp?u52G2J!j(VbN1|MzfuYBjDc!4u_MQ=5V8ZYm|8;04Kds11;CK3
zBc90hkZ%#y-{u80fg>_rpQ6^$t_OlrXN+x^rbncRm>7j#V+2qO-mls?Y4Or<X!c{6
z#`HLi_i=rt3HYuLM>0`jV;+ng^k4M687QWfgnppzFpv$OFZ|sw>?f^l{j>eF)q0&?
zzn379C46>Ci^R9KcSI&P=#$88tWei|Z~ajxUq+3nnCnBu&iH9Md(8Dr*UK^IDWbIY
zc@s2Jf*s%8)N%L7FldbaBNYkJQp$DmbZUgTNaXP_febU%BB0PBlD^jNHOP<kBdDOL
zQa-W@^wZ~2nr+o$q+k5JscCbqB@M2uSxh$Lc)KA)jfcq;LF(a}qYz3g5K7^oy^wPk
zOb8hLv1#DZmis&T--&c28vRPNxj7nnr<2&+h={xJ>6Xp4rY8ColTA(M!*dgjRyf&;
zPUKC60*GFQ;OzDt92l^VmJFzmrqt%`&bRU5uSDtFb^_n#wMqD7jp+;IH=%)!hThqs
z!_dux&EQBI=x8xwTbw9VcdujXimiAY`-PJdo4>`e*L28d9w;;I@i_a^5v3eZ=M<yg
z)%)(dkMx%JF}>5awiefR=-8|BBct*tfPiDe&~J60s)OFaygn)}bb^^>mUbpKS0^T5
zOSlf329l|+&DO3Ykl#b_pJLKs+I3V4;oAIi)G(r5AoTS1?`ZuEpTxV8Y(Yp6`@~vc
z-#!x_11I*1##_r&QPR<9GhmH;YoQq8gT~}Q3efCS)2>=~nEL3B0qZp=LL;Pv+RK+`
z&{g|+Xpw<ltGQ5s#6ZPDv>EtR|5Uw69KA8)^mX*<Gp<37`!U9JCV^H#!iQ%MF_4<^
z*T2wvV!@43K5H{bhpO==?N%p@YCH4rau#n-1XV}`whONc1l@jj_(E!Pl)Rd@^zP{K
zgp@b7`QYOp|M&p{rAwO6xbFIe({VDZ&l}mbuU&l98}qhybhHkh)ee?0&<rbn>JV(d
zfq*9rFLF;ZuzA-#_uRwiZus({orsAZLzEQh57GW1^0WIm%L(1!Lx`U)V8;4b8gx@w
zTy8lwKPHEhjCO#g=`X&=act@tw)d6yo+5B?lU8ImDE3aydMl33REQX>Lq!fE<cn|*
z?Y!vX8-Au8la$I~UyE1Vx}m4Yo-fQ<_5OJMjrcfugb(VNlZb1JagE(@@kKj_+?#Vs
zY454cr(!$0k^4gZd#lyzkULy|QzuVFpe1-3um?PvXoB@ROu5~3Y>mAmA4sDH<xI<=
z-J<^}4K|xt04hL0K`cwkO{yXuSaxKfqQtrp?je(zR<z?hZIV>RHF%}SfYv|ChtKYW
zCD8Y2AL97#gl1#aa(8aumc~)r(C%!mliJ5fr?+kIG_XJDN+T9C0={NM2aiRKIAV-j
zo?s*{WsJ5unSlsD_czgVoIq#6WDD&=G-jDmSZpT`dOdDrdAtYHc%{2%eDCFs1?%#?
z<2~ImiaUNy%rJ12x;wC?)9=IHDePl|(ODoukBr1{g~7@$5lnYNzCj6WO2S4sGa7Tl
zWsOh>#{pn_L=W)DKDOmP3FH18>>POo(OBa95j%^=nQRWkk>IFHN<~S$gEvN37b0%f
zwkpB$1uNKiKZ%NvbNT3VmUdZsz-k42gGVGo8B4~%yO1E7ns!6GN`=Xjq<<7|V`uR=
z@^Az=?aqX3Oj0pwcI#(a)5e3pk*)`#v`9P1RA+w!l(ilIx3^>ajBmVM;nefCy_iRN
zsvP)%?4|$lQmAb^UE9yYtCXN>#`y<BR-JVX+9cjEb_Dv@Id_BlH#bAohgi+S9{lh2
zHl|4pI6Tay?8^oG23;^WH5~78b@NGTyc$R-OWMjajqn_mAVGGQ-mCzv=ff0PC-B`Y
zI^<HUIVr?j#O{0$p;JFgr_+;!94DOeoY>qzetP2M2k1jhciV*>QqWG5M<1<5(i1qr
z<Q%Xf1vJ=Iz>`S;$0BB5zX?Y_@N3}FDAc`Pt60r!9P8_O!_lKh5j|v5&$P1vZqn^d
zJXNeBT-z$*kA&iXjE90oa^2@XL@ogRL~{DcV1LN%Bdr%+uAw-DWnA5SN1Ot!$Hf&B
z?n6|t|7k=lp4LyVA9DZG{jwJlYeJ&`Z~dwf*#ASfSc+uYK5^=f0p{2baUBpx^M&(a
z<1i)?Z#Kp_lzea!w(}9e8$>Du>DFk1Fes@Dl5Q@`?-1@Ktg8*KRN~Pq;wMF7((j){
z_-P7{ytNk_r=hSUZR1)x8aNoh|IuBYTSzgxc{^>x+S0jeGD3(mg8$tR!>UO!v2WkL
zq<5>7TfNDBQVuwAkO!o!2D^<!UZ#SV_<WZHRb<<?any*K$G2^Zh-L^wCsxU|1H^5e
z{VHTpc;MQ;$r`+)tUqBaSp|2;kzI2q#C>X$bCp{G#vEM*K&}BQC-G}jOG=)Y<=C7z
z9eXrhp)x2cChY`eIr}PB!IKAEXW+!B9HOS4=+_7A3cPGDHcU2|xkyi`H9ofgovj06
zIT|XFF-$L(DgZ%m6y*w#LHwqE8Ltzk|7glJdNsCTBSR38<F05zn7#ez5_%Hav45M_
zKcTxgy7`>?aCV=oMZd45KKO_wM1!a61i;(po4|I#XkS5pW;N<-AL*h~J8{2JAMmag
zxxbcrr00Ma_*g<O1qlhB&rw&as|Pc}d(6lLwVO;WoB&7O!?>O}9x`~0MlI$SwT4b3
zeeK%ag<z8SZ=J7nafFH*FOC?$lk{YrE))Deyj-f9C5;p4H5YaRJMANT@?OXmH^LtO
zR73`OtLvk#dtE<q{ZYV6UF;NRi>sgwc%pbNw3=0|TGg2Xr!|6ks9Kt78AMN!b@Gdd
zcX!f@Czm>fme@SG)Ia~llN+H<u3jGy(a^_JlsZL+PBC7+Cx5Z`<S(A0)G6vpYuMG-
z$@-gzO0PfEgZljcx0)R4tZQ_Tm%eL!*3g)So5pgFx{kD7zWO>*f72Mdntk)DJzi}n
z*zj7zqsF%yeG(d<HN4jN>4&bq;Yqr_O$|>PZdM;%F`{3z|3c#<ea7`QkOFQ;Y?e1*
zN3PcD6Ag%hHLEfC6vPJy+15n|aA?ITvU+Ovg@-BCuXkt=Wg&|Kl}y&$qNxe=X!PV#
zF5Oiq%k9u#n{1I>s~>^&`kTr6n}#Rp>eSa4IU((`;rCE|-2TnGAI+=vWg6O-uK&hr
z{SA0c=ng(+oQpl+0r*B~|A!hqWnPQ;X3$#@ZM}z=QsgGaTo>_SkgUc>Xio#lP$|f~
z#FG)<O*=<e8wwKMhmvrzzqj5!^)omIuc>WU|CY{R&t={IXaqco#}|9hg{^V!h%cUQ
z+PpjAz5?O)aa0JC$TNB+qO-s&Qx5yn*a%d&vHztBoCdiA#|ox;=emcm=X{NH%;9h(
z9TlC=_9btCIOIuA>QTD5wLq0nWyiZnSS6i5>4(-`6C9rpP(l)B69<@bSPn3lbP5*3
z8Sx$H77H5$KBP*)JLFMIpmYioq=2W@+1=fK=`WFCMTADj&S^zZ2r|2z)!pq=IzL>?
zuAfoR^hbW7zW$AdiKbYvAA#xPlh9I9OukzngOiq9D=~=KCia>9v`)+!V^*6zdWb*6
z<kx#{X|DpU;GhG&Xbb=>sH+!}G;^vXVDa=b7pfU|cdrFuot+CAvIvR@?4W}YzYh?@
z;BXm}^*2WIS}3sjIOw^((F0L$pv{pL*PTS$N<DxHxDEC1g}<G96)JyOm)v|uz@LR0
zv^m+@7Wet$ZLJ8dFOrkuL%#5Fr!x9IEq=KEcCy7vo8HZDVM|RY6eF>;D$R0Yz8)l>
za@}>;!JEG5aeMsL1a>OTG<9~QpovZRd<p1dQyra6Gk`(CzIHCmQ9o|R#-VGXrN(+F
zvXkin)4~$X7Tu4F>*19gz6OCv_V3T-ZtK9=c9s>MY>N+!Zr|22lJpLUH-{|?r`vVh
zmdowmj|e2!z?;$<@FquEwrw9Bh__AJ@UQW73-*YepqtSmB~1~z1hc?QT2Or7PTSV5
zakSA6mv{p6cYVa2P`;Mdv4jswIWr)`_F*ugK`8T2C`?nIHBru&7;9}o&?<LiFeLOQ
z$*>IQJ$=S1)+*_z&qs90+g;Cfz1np*+TGRFMYu`>vE%kb4Y!XQM4PKp$ZnE903at*
z5Q@JLwO2Y|80(vvWu{BE-kV1QQ$t#Vs+$)K?GJmez<<{jM}6RvC%`^WIN+{ru{0vz
zCx_O(QIFs6nebZf@S*h(*4E^+>zDQB1K8t>j8$L?J&aZE+(XKJAi#&Xh(mP`*6Dj2
zP7^q>;P+pd@_G*;gcTwd1djXbaS>EtHZe<A8?OC=V1IMIIe*F|WL>8K`}5FVj}IA7
zN4%a4=+8B*x5f$Btb*wU!LW~WV2lFD2cDt`B&^i~?DaPd!xx$STc{i<2m49G=a6_k
zbu3OoXBZDdGkS=wo4+2Mv!IO*hM?Q@t5C4{MQ@|Sr>vXb;#=vu@#xstSm$ot;WhoU
zJt{sNz($)*geQ-OzxC>7Y{Ldtv4VpL6iSNf)@z?C2Fe$GXUC2m`T7|;fVCxE{SW@o
zh(RXnhwb5J@^xt<0;$(Cp}i(piAaPYwN(_osUpLw#LuV^y>t{?jCX-cwPep#XsQfU
zi;5|xBnTMNn(l&d0i;2VKj?!Y@EUj!z{MlzvpIt_Oox8TyXF}LOi66kyU6Z;?PfCW
zn}`s}q+KWOYY=?~|3O_HnefFE0|NsHvF-CsQms_eRxzYUZu35b#uhksJm{YkFF_vs
zoFf<NA##$?lC7qxTB;tKoKY*)o?eZL;{yYy8b696#<&OLg2g?K@pHJpDA*L8i?v<#
zEny`e7OKPQIXnL}uwWg#X~Zy&x;j=Ya~hS9GPxhrY#iF+M=^f8FABl)mX;)XS-W}I
z@k9LJ#DI87{Qz#>r)v;H&H(x*lgPR-0%vYLeope?#}6Y&dI2}~1Wqsvo&gRgPhJ9#
z8VUhBHNbN;syGen|1tMv4-brQf#z3_f&Bwyr|<0_Yyr{t_Rq$~hQ7Cd9vL9tuLn|J
z8(8CqzB%<+K3a$zuZbOX&{!vo{FAwlG?onmnQj=y$%a8(YZ$_fM+Qp&KQo4e6E_SG
z;Bf%ZIE&b@E<}~l7@l}YH(^9uT8r`mq+D2X;3?MIM@ygC^Auho^;H$)vr188d}74=
z$JoZCH&hcc1R}&rt}XPM{{WUg4k3IP+~^C5o=|w$ksB=Rq@Wc(Y#SLP!7dO=7AmU0
zZfvSRj0M_yGy><kmR{cE8i}^09|ltb7f<@`@v4X;>KJ?KM|d*g`y##qcct3LZbn0R
ze-l1-cE?u!3cl8vYN9wSrx@!v@$t^6^b_{9MYd=I;TYS^B0?S6sha7?c@ML|6owG+
zSQ8`&aIBQUGexM>-AAs7(C}*sGNI><-x+_zu@0U%z*Z2OA8B{xa5$tm6~HJ^4t}@M
z`I`0!Cr7*>H*h?Gp>wTnq)$YtJkpzg^+kw>(zA){9^S!8--;;j^Qms^I>6pQ{jG6t
zQ>xP$;H@2J(^u$g7-+p$W&(U^H)3WS1YF<fx)mIag>FAQacP1&7Q*p3*h4K|YHuJ2
zWwuWh!8a8mHk1ScZKx(Ugwdukut0jLfCXaqmJ}ScP_UqiNzXY!*ku7N0GI15ira&G
z89LjWjQ1f}ef&1`{SbRuH+$J<8$&QjMmORe@iWX`B7f3ezIR=yU3(|#XB{$We2oaV
zg-O5{sA7y$AiWkBYnjX{@HOEUs&#8Bnxv25V-s*!vHiEwFV)q(^&(w8=3$-fU#<!8
z_mj{`43abgxq?<MAPSHL!5g>zSpOtw+FKTCIX!kU{mSur$FHMJRsSE}@-*o<_|UIt
zD&AjTc(vXUttV4olwNl3Gd*kd1>v9m4=5Av0AA~ZCx({dhKZkpVUqsPY+6DrZ6oM3
zawsG<dP1gfS||A9Zc_iKSKJR26B7wP>;#dPcmgpf(%W~8j_%l=#yPZ!cuNH85`W@r
zTlefa@4P*uJ$>m=BqW=5^d2~H!wm-xY#nTp$Vm5zRRb)RWeg1L-qQ<rFoccm-LrdO
zz_7q>8DEXV=@{o-VH;Y&>x=E%(ceKwWp(rqo`zVefsQ!oNYJ-c^sSey3goX16Fpc`
zMO)q=B<c1Nx1?Qn2}|2u>mmga8C}sWWG9n%;utjw*|AHcw#EVhEZr?zQd?9s+H86}
zpXl@4NivDp*!=mn-M*o|zN8frdrv#<G|}^^W`y5M^mTM365iK0g~G-jfB&CJcKK9C
zbJMn9TPHVD+lEO-47fU=^I+RB*$-)4u?vdiFfEC(S#cb8NNPPhO1cnIA>xG8o}k3~
zItBBNAV3Qz(rMT^oC2$~R=5xi57}SV4HNsNdR)V74a3e10j%ievoIhY>H|a_z|}UE
zo{?SxW<BKq0T{pZIwv;YU4H`@sXY<DNk~s>^NNrku8}lcRq5}iBJrepXofpq^&Ap7
z@~+aF#s$eqO48-|o>W5KF1_(Cxp>@>1+`T7*iY2MILmMJ)&yM|67{~66l3j>YZ|MU
z>4KJS^a`-o076BwRRTf}$d8lBZmBo|`=JlCJe8VOJVaPt;i?@)SxePSYPD1q{{uy>
z*Fvt<Qj@g<Cu^yVnmMqRY9J@}m~afD^FR}_+B>VCR0TFTLUsYV2I{YeNp|{#-T|l`
zVCnEe^(jOja$-&pLV38mB6%f5NRbtiI1djlxOO^(^W`-0OY5IuFx51t`tlHI@fPw}
zxPU5pWdb!OZg6yDNZ=Nk_!6^6`g*}LG^E&gze)fo0se&64B?e+@Djff7J^29!(_eO
zi!)v|Vzf1nq^hBHO(Q@&iRS%?UM6uO5;jCtDXLcE@bfsZ6^0d60U$}))h!Ou61Mr`
zG?t4UP$0sT5jM@$G>r-k(geD+p}Vze|4i0v{RC4}LKtg$NFDDg`p(7!liYdzB5zcn
z`s`{Eyt^(k65$h<D<wkY1;GEcy1r?r1$19;w$pUd!~=HP#5of;+i6)>Mo|o5JKw^7
zqIEm%1BKmXr~QaOe%ww+Tye~V{%(}(H(f#!H@U}nEj({1EnK^dbL_O?@)_T-)28cy
z_?DfPb!8OJ2Ks}YZ@C7I6+7*7T_diw(|*^Gk+jnhSD$#dosLrdSLaIQd|^2~KE8Ws
zc;vKE(4Nus!1;ycO8TrLxpHACmp-hE>`RXgjSlVFcIA97eIz&4UrsL-%9V7nP+VEe
zmeToY)Kbn>(%I#ibfr*OT*z038tNHKpI^%5PLY+qqOh2s$#C`al}fRUASttGK~^_l
zXu7cUkZ;igyP;!LeTM5gr%*gr%FoSL(gV}m()BO%V+2|zhl(;p_5xI$X>9i!huU)p
z<YffR(J0a*n8Hy!8GtgB%2bd(3mdg_c&mUQmpR-YZm4A+a>h`{DE{rjvbz%72B;Lh
zGX*tO8R;dwTjsioNEKZxu0<fP5}xFN)^%ITC{JI@;;S?GtsuXEatkO^LER7Co-vd@
zAGPK1_vlKcfjp`1JibI5Zk*Q7<4YB^uM8K%o%oyOwpGxk`VpYRS7<E$@85FXXdKb8
zYU?v~?K%hFD8jL+gjUXBOlfQe@a1jX+f&a?tyfrG%)9^}eh+K+6#prTHU<xWA)y5i
zx<Wz;OCU@td?tLtFR;%=gkY<Th$v)`9uX7R_b-wnC7MLDXu%HfHuzR_h)z0@T6BqS
z(Id8sUePD|#emo*wu>ENP-MiA*a?5A5wT0`7JI~~7!%`SuQ*NY6Q_&);tX*>oQbU#
zXTe9~9C5BVPn<6fiVMVr;v#XexI|nk9wRP;g88xHa&d*Y5`G+4i^mD9adDlvUfdua
zk03QqfNM-vOo?eRBXVL^%)!?qFK!YGVo@xKWw`1W#m%B5%Az7x#9?tn92LjJE$|1q
z6|v857f%8`eX@9pxI;Wu{EK*+c)ECo_*d~v@htId@f`77@jP){JYT#(yimMIyjZ+M
zyi~kQ+$mlzULjs7UWJ%luYuX&wKya5_2LcUjp9w>&EhTMF7a0JHt}}x4)IR$F6>!)
zxA-^l9`RoBKJk9>0r5fcA#soRu=t4hsQ4JXlh?&3#3#k4#HYo-i_eJ9iqDD9i!X>T
ziZ6*Ti?4{UihIS^#C_sF#Mi|)#5cva#J9zF#COH_#P`Jy#1F-PiVg82@ni85@n7Pn
z;%DN&#r@*v;uqqV;#cC=;(x?%u(#~D;(x{O#P7u)#2>|<#Ges){jcJ0;_u=gVpBYb
zeMIonHB1BXaSY3F8y>{5@fm(2U<47lE^I`wO(15(jf9aj5KYHuHd>5UqYXzAbQqn+
z79(wR8Qn&YvDN4``iy>Kz}RMNH+C3<Mh0gr?lgvt5o4FJ+t_1_8e_(|vDY}w*k_z>
z>^IIZ4j5+|6UJG_*~U4>xyE_M`Nl!x0^>sCBI9D?65~?iF~()aA>*;e<;E4pmBv-Z
z)yCtDYm94+>x}D-8;r*rHyTecCXK8yWlS40M$VWu=8SnGZ`@=o7>mY|v1}BKqH(iP
zGRj89STPP8M~tJ!G2<5FiN>wQZN}}!lZ;j4$;MNRJB+6q|6)ANc)IZn<6n(u8qYGG
zZ9K<#uJJtMxbb}B1;z`F7a>~6ON^HqFEj2mUT(a?c%|_w<JHD%j5Xu6#_NpN8*eb)
zXuQdIv+)+=F5|7n+l;px?=aqJyvw-Tc(?Iy#(RwS8t*gSZ+yV`pz$H&9^=EtM~sge
zA2U8~tQ(&&K52Z)__Xow#%GMr8lN*hZ+yY{qVXl;%f?rXuNwCnUo-AA{=@jX@eSjf
z#<z@b8{aX$Ykbf6zVQR&hsJ*z8^(`}9~(b0{>%8O@iXJUjr)zC8^17qY5dCgwedg3
zZ;S_w-x~jG{Lc8j@dx9N#-EHo8-FqWYW&UkyYUZW(|FKynZiW$A_THgCX5-T$HW;E
zrr!+UT#1kwHX~-#j3MZG!c3Yev&n2WTg+Co&1^RjTfy97rp+$1+w3v7n!RS9*>4V*
z+i-%$4s+1Vm_z1HbJ!d)cbU7*J?5x6W{#VC&C|?%=IQ2s^9=KVd8RpGo@JhGo@1VC
zo@btK9yBj7FElSQFE%eRFEt-yUS=LLA8TH2USVEoUS(cwKF++xyw<$VyxzRQe7t$1
z`2=&)%$if?v^itu%vp2JoHz64P3D5RXfBz{X2C3)H=8B1Y*x$_^RRiuJZc^@Z!w=}
z-fG@v-flk0Ts5C;KE=Gle5&~`=F`llo6j)+)qJM;Ec4msbIj+O&ohsk&o^ISzR-M;
z`C{`W=1a|&nRl8mH(z1C(tMTqYV$Sbn)zDub>{2MH<)iU-(<eoe2aOP`Bw97=G)D8
znC~>-W!`PR+x$24J?4AO_nGfEKVW{){E&H%`C;=T=10wsnIAXT%}<!0G(Tm2+WdF(
zGv;T_&zYY$zhHjR{F3=)^DE|8&3nzSnfIChVSe5GhWSnNTjsaT@0i~;zh{2m{DJvH
z^FPfE^GD{7&7YY6W&YIsnfc%5{pQcjUzoo%e`WsK{2%i-<^$$$&HpujXa3&&gZW4E
zPv)P^znFhD|7QN({D-+|J}6yMNCR<<pn8#(bW4x)VwbUB24ql%WLQRI6k*EZG9i;P
zC7WckY>}<9O}5Jp*(tZkwCs}IvPW)}y|PdC%K^DfZkIdcpv=f2xl<0y5xGn5mV4x=
z9Fya6uRKlelc&r5@(g)Eo+&5fS@LXojyzYMC(oA$<puIWd6B$WULr4*kCB(jL-Mim
za(RWkQeGvmmXDLy$ZO?w@_KoLe7w9-K0!{(tele5az^IltelhcGB0nE3vy8|$z@rP
zMR~I<$+E1-6?s@5kw@h*d5e6ayj9)?G4)AuRX$lhMcyHwD*r`3O+H;dL;kCLrhJxs
zwtS9!u6&+6E}t)7AYUk7Bws9FB3~+BChwFlm#>hol&_Mnmama(^0o4H^7Zl!@{RIM
z^3C!s@-F#S`8N4>`40I``7U|4e7F2J`5yUR`9Ar6`2qPs`5}3a{IL9p{HXkx{J30~
zpOBxFpOT-J|1LixKPx{cKQF%^zbL;XzbwBZzbfyQUz7LA|Bzpo-;m#w-;&>!-;v*y
z-;>{$Kaf9^|0y@*kK~W#Pvn2epUR)f|Caa5pUYp!U&>#}U(5fIzmX5f-^%}$zmvb0
ze~^Eaf0BQef02Kcf0KWg|B##VLFH0H88|dXVsD0}+{&Z8%BTD)pn@u-!YZPoDyHHp
zp^_@4npCrDQLU;?wW|)*skW%J>QddRM{QNTs!#Q+0kutSS3A_8%BUf=Qw^&TwM*?*
zd(@~JQ{!r{I!*0Ur>p(y40S-AsV3A}>TGq6I#->i&Q}N31?oa|k-Au2qApdBQJ1Mh
z>apr_b%nZ8U8Sy8k5kvEYt?n?dUb<(yt+|6K~1Wxno`qhM&;D3np5*CuWnKcYEdnz
zWmQl`b+am|vZ|;RbyyuyN7XTPi+ZBERo$j;S5H!_>dERU>JIf(^)Kpa>gnnk>R;6}
z)w9&I)pOKy)$`PG^?daL^+NR`^<woB^-}dRb*Fl{dWCwWdX;*$dW~9BuT`&8uUBtS
zZ&YtmZ&q(ncd56kx2d<Qcc^!&cd5J8yVbv`_o(-(_o?@*52z2S52<_9ht)^aN7cvF
z$JM&}g!-iVl=`&#cl8<dS@k*fdG!VLMfD~1W%U*HRduiWnz~Q@hx)quhWe)Zmio5(
zj{2_pp8CG}f%>8PPqm?bq<*Y^qW(+$RQ*i-x4K{bT>V1*QvFK(TK$juje0=+R{gK~
zo%+4{gZiWTllrszi~6hjoBF%@huTyRS}sdi1|rf*OIa2qS&!wle3st|SV1dfg{_Dc
zwPIG>N?1uNWi?sNR*ThYwOQ>}ht+9qvC>wT)ou0Q_{3hT&+4}ZtZmkIYlk&xWvn4<
zr!{PiSi7v<)*frr8nec&z1C^gKI?RAzjcOnz&g{Ku+Fm1w$8E6wa&B7w+>ntSQlCs
zSr=QESeIIlu`aU?S&y|Yx2~|Rw63zQwjO6)V_j=qXI*dIU_IWt(RzY4X=SY`YucKz
za@MRhXU$uA>n3Z#TJ-0RPA_JcvK5GW?)hwazLK5u&lDCRxMj-ux#d%FrryO|xtyuY
zXP2$q%`4f(a$v5M%T{tF&iiLLO=~v0GM%gV^-pG|lrJXc3oGSZW_muqw46JZIg($V
zDI5vtOlnwmF;&Se6?3I*Wu=tMWJ{&Okqn9~Cr-{@DY`4AY<@9U@=Rr?(a?O>YbREg
zd{c#^nM%G~UdbiUrJ2lpVR0tEJeOI@&E%)Ei$TsT7qg`W^qcR>nW>ejDcq&#S$RIY
zki%dt6&LZdh%pS;W$XJ~b_OM8(4WG}+<bDr@m{|bs^u<a%M0P!?cscBr5tM<5DZSq
z9*)Iqu~I1d7gv_&${8*jEanQ-8XlFhzqpuPwwo3xt}GRuu6g;UT*wv!<@tPWaYnx_
z%lYL6sk2e>k!)ppKC^4sSDr5vbyNN2N&$n;osCrr7}-jun8jq+kEwBGomSi+KVNl@
zo71_nJe(_60(8N<_(ZN8(X&`7<uDC2m!bNMm10ugt`sw~rNUBXs+65x$W;Q_l`^Jx
zk>M5dI$z;bU@BjkF65W_CNx!8tYj8R@L$H<2B!*zg$!MmFs;Gq>=NK8Qz}#d#olSm
zyRKn+K3l3_$`)6ami_u>F1uW*1h8a^=<QS?Tbi+^7Yk5?1f~l-y-NTT)Im41h0;Ql
zQ&5B~W=dEr=&TR*6?ChD)1{SLa`{q$Kj)swmoZbvyfXzrAHldMx0pMe#Zbp*^NX~;
zrt_s~OzTl<wSRW8P_nxhoCVC%^Tk3rH{+WvWtXRQ7v@&7xY7MF=T??O44Np24qzaB
z8mMT#qF7=1>~f~GQiQUEKfjR2e4`y+U;|x6a4}!WRY%pglwHp1(e@I^W@fX~Iqy;)
zou$|OO9fiGQ@Ahtma};bF=boJh008B)>F(b7fL`q{$dW=A^psYv>pwQ2HKUP9}UW9
z=k=@Q3aTl4D*2_{VtzU2uas7%@!1k|JyGC+g?xD)vuuAz9nP*SR^mr!Q7>iZ@)#0(
z6?>0haaA(eBg<i=a*LSTd?~Ypc}z}am**C<GdV1XOeMQuH*2bJ1QVE_&V@1UWlUeO
zlmiZ0t^^xarQg0Iz_g#(SOieDtVhaMTwEz<mh#IhWltGM2|!eFmvhsEfvxg<33wz9
z$i5}N$g`2N0Xv}KPotRtW@-*&ms!pot;C%hv}q<c4cuHPMV-9z%Cyc2<^ap{nZk4q
z-~jZu0uUqI6ai=fEos1_rg?dpFBYa3>_t0WIGmq}>IKYc{bC$2Heaa1B-ZcrLQ7*_
z9c?+Gw1!~2G<~Z@FKt@%8LaQ@bg2LuLvtK!d_sleI*avqnMwhzuN-S_#0_($!V0Dx
zxGPs`ZhXXf8A5$_J@}rkYNk*r>%20fAF7+0pz%&EPh(fzWHd52Td^y!%lr9*K!8|c
z`s0+w(&4V5S@eoVcA%rwep=Q+`z>UkA$51TW4WmFY^8)1N@&b!C!l_r>Y%nerO+X}
zCEh8*)1YWMV8BWRGd)ux%1{Z|w>%gq1@N9N6lQ=JkLJq2$I}bI4%SpDKQosDIMR;;
zBzmSB^Xg~1@rj;kJC7zWV5j-Z))dxnt|9@B<+iDnyr#T1H0o*N-X>3c#*H}Xjk;!>
z^aeL1SgmJvF$*%_d{H;dxm%tqgsYD<W%O6?SC(t95#9_{pD<EUQ!Ax%#hM2HR9N=W
zPi19!Iky-FCj$ZtjrCNv0>t6rdr-Q7-P>i5jB;#xF<)e|l3`*2oDc_6Ujg?pUpPWU
zm50rPYKkiW?cnsv6y^(P5yLo>%q<_zEf$K6Q{~MaErKqfDm9xcm5w#lulTwVi`M5e
zeoEBmIPLLsradaNd4Lysyqqg}X9@Yv=9kMpj4g=4;e2+{4_u0M%#DuMr5!Mg(>ld+
zC+@9m6W}N_Tn-mTH(t6-uguPt{hEAD(c+Hlv{R7BlR3C@m4(wo8wIi_I<9dXaRRZ1
z9EPRlhOD|_X)Md*(pVuO&Bj6uYACb_(?^l$cKO&6KI=u!5;!HI!bBsphqGYJ@O6D#
z!r~~y+>vuQJ>6crb($O2Sq-hLf50EMX*x}flLV|sHE9CVP_WVB){}CaA*x$=b`7*X
zT6KAwpgCo^dFfL=s%z${-{t1oy>+VPb*ZbXlvkFsOHfp0OJ4lT@cIhfgb|!242W@E
zDF$x>A)CqJW)1|_57QDF1nvqL4r2?t5A=<N7^EBGnle<sUvtc;23VI6JRxzA#pSsu
zI?A$82B<qjy|!=xf7uQOVmUv13}rGJj_U>~b<#s7)(L#DoS{}6&Vky~Iw@De%qStF
zl3yg&4)+x>yjUbfzyw5`r2-hH9Js|wsSvMmP#Lhe%VjL!#ysMbSBjCkay&{NSm176
z$yW-fPA9-BRMZl!n;>1mM=fItE5}g4zQbsHz{+Qi<Q5kLwgAD)6AT(l6EspGJ53xd
z#=^NR6{e<grDIOXQlT*0VslD*oS3lNM5*x!mOpdzRC~gHXA1IUxiXsrC%!y~wlK@Z
z!-p^M%`_yMsFR-0E-o<Aj5|4XOUL<|z5MHd@`Td7v}27m(ArKlW;uB9gts*;+eK%1
zLiK!Cv%uQu5#tWbW_bXe9^1DXMx2hJU$elJ0FH=V3j`A2Q&iJzXMowxSF)vJnIc4;
z3LYd+d{D~IF6Nv;s20am=z`9Gma@mn&Peksm|AXV8CVO;tJA(cg0aSDG|I*bfk;T)
zOzSBhGwtp>;n57Z&K!6kTAB5W=!9a6D|2(%xm--k0ru=^WY~~ZH=&JXH8Rv?X(f{w
zT*+xH62ZjIIVg-MLbN`EztU8nQ}>aEk_<Bql@Y`=6yatBuy}dcK&eZCQUU6KDfB&`
zEBW;eb68PM*LSt4KBvAB_4)h-FXwPSIR)NxAy+m_D|5awm;)^{#>-&Y3yV(2xt}eK
zd37H-p)`NSZ<l5?YNzR=LCh&B0YL66`Dv&MSe*b|>Lh0hbB>aMDXkA^36gSVc{ZQ2
zlQsarT>xA}ZYE%7YXt%ZZgw_PUWTqE1WZL=f<Scya<Rma76Wu~xC&VTdTpYM4Pf=y
zCs~(YW8I-Os+MM!npyN(re^*XWt78?#-mWGWT6I%=zCyrJHuBYUM({XL>kq}!W1|~
zi1J{<yukLvpjD1p!0<q}LHz@DMji}6RExBA3j@zd$h8@FN93jP4cX!^kM+v3{fHqx
zu2nEoxyq3o=pik(vQOtx+D_7<59{0#Bv2B4a}j-iIG;O$X@FJ%q90_?dZ_eq4$n(F
zlN*wxof35bB##tIO96%(Ez6amMIkPjaau^Hf$EU}>8)or88RDkxE2SwRp!Aq&du9e
zK}ggNEVuzC5N}F8()U3wf{fh6bHtNTwskp7*c0{nq&y@rj)P<ai{@<_4+Uf8m|9vX
z=cgkl(s;#SENMYY8ZwFYFGcGsh1O&aDhdJ-{du2GFXqb?#XVHIS0`2t;0D<_DVLFr
zx5%(nn4PsqnUY<UbKq_jb4&`N!t{cq_3t5&UqnLXmm$;HLbTR!X#q0GAm%XLq3Zkt
zR>~F0711L1p_?<sd1!LVzQd#m13NW4>m<Rj`0d<z@MPA_CDM1ff!pZUgfbbcbFM5&
z)#h>ZZK?>p6^Tfsb(7@JgXfDg76=(QW`6}bjm&(GSUex6kK|`6^FBPA10aLe1ay)#
zD!`xmhAB-@r*8tk23Ac{N8E)KD4Xy#0_Eijw2?Epg34oTa{=_R%In2!_-2v|bz)&5
z=eAcIl&LIXYjosD{a{-dtJF|P5Gv(`BhUy!9Lp7Jce6l=q<7|L60mwq6```s0dxvQ
zH<X0*PQd<!3Jpq8=Y}d$xtp*wq5jDohMJ29An4q1ul;t@31}Q)l0n6}VIXsE81BOM
zD-JK?RFPkvE%;dVLJG0631yg1V<PINR%>YJ@#yT8qWzr4LO~N=%2^OM!Sk|+O00|0
ze3kvhdh9Tlp9P@hva?t^rJM;hhZp~}b}3PTlAh2}rtS^Js154cMX<dP2xfr3+~s))
zhKo5jMB*iyXj(QoXj$#?S}9hCj@sx3Uk!{{K_w6gN!3MaP)qAi{k9qv611&)E|bQF
z-g8tdwdwY1g&aUV;OLKuWj7ac#}qBeGK~PW2pTouhzvoNt%>4kYtUhPEAuN$QzXUL
z^jLMJH0Y)3hyp2iZ2dQpk>dO@YXwq1*85@(!hqrx>rha>u~vW&zy(c1O9)LA`affq
z%4Hwsj1Y4EaLzLYrXDIi=(=;jg0rxGRB{oLvNd<9XP%84b_R`xwvRCTiNUIW%Hw9w
zdku=5l~&go2OJ%kiZ;B&pf$Hxn95m4pf8!8_tC<JWe5sK3rH78zzf=$o1M;<bFq`x
zrDB2xY_PmQ2y$gc0k4%8JmqN^eF~+rgphvB%jOHxzK~wMSUi@2Hh#g<11~YjWjB9y
zWl{eY7K6YNV6kjc<b`0BD-mf`jO2Yat+Qe(?W>7sq!j|MME&yUB$km*@G{d$jnQoC
z!6t|@Y%-;amoEIWn^P-AkE8a{Kx(T|7*nXZEHpxdUZG=#>V7F(^Z?LG;7qc>LclLx
zHi}^8ry9VkHeV5~f6^J$=1_eG^z$^lXwNi+S=fazAcZnUH0LQp{-i09Q}~*1i4@Lc
z<tuqmph&phW^8Q9KjM^ktW*9vNk24|!$+tNCdnR~HJta`3BrAT#ur*28?e(nh+g{!
zZM9R>4Iig@lytU(*cj^&V&eoAwY0t<$dgflj8>^YrC<x{`p$RrN&&(J&!0~6r`@Ci
zhH}i(5bYxaNu~@bET@x@d;tWUyOf)E&w(TsLA-%OSe^|L1=f(B!?N`N)PYSw^NG58
zOS$6Wu?*zMP?eJLEJ<MSqMr><KoNSuEH7xhDhb8=%dqj3%F{5j0-RQ+bjkuX##F*W
zc*`xoyTv?g3BIK~RYv4LQcLQpV5}g<6CkY7G1xWm^B~?ps4LI~qSvI-%2nd_a&}NM
z4N~HSJRU7)-8%(WiYLCxv!TrfA&t*67%S3mGx92fe!yskRb0-OqfP?q7oamV(~&uV
z_8f{w<k-SPvLo8C#PmvYN6_6uyAG_Tp`Y)l2~JVQK~Ak88cDkfT^y)LcZ=zw#`n4a
z5i6{|a?~zgLkQu9oRwm%;a-DtZpF430tGS7(bhs=o#pNr>A=7*A&<CEN_vjiR!3q~
z0e+-pVzIzBvQob?*~~40YU6QZTU_}W*f7)t`e550h&0yn>T4OvoK~v^H=4Q;E%h^<
z)54TJs9ZNJqI33;qgJ}JpAxL_y=@!j5#S6*S;4Y|rDaDGlA&BG6qfyD)CUtf53**$
zxX?JzRH@GfK-f)ukYQ{aAh4lrJcK}tWlm!UV@S@K76;Qts!D%t9WIApj+<H0?Bq0%
zEF=<`UgzL#mpuy5)P@Z({YaR_>=8+Nd&SCoa3s^mVE!=y1Ynkr<|PS;o*7sPrm!A8
zJW<7&S?Jf%8c0;I?@|hU5v&UODTxG3f%PM1Z?&HOmOL4%b#``TCSTA=W`lK&j7k>s
zvrsu=;W}(0Y_!w!er?ldt}Dv2MLlhClVpHbKsrlgjV#W)S$$n9`!&F8i-rxrby*-s
zOH<bDN(E%etW=Kqrt-^BvO-)cgFRlE^DgI(VARoWc?4VtNaG?s1%2@mDbd&mR26z8
z7}{-rem}8}#IaL%ixB=QQ*fG?2X6-F3}_2y;I09tkhnfj->l8O0m<2!EEQJ@bHs8&
z!0|fCW%pEG&(9PTI~W8Q*im1RM0s=`UCk}zY~KUSAgMrB%3)6Fg+%ZT(|#88e?|gj
z+5{68UoZjS3eYXCAG8zmUV+&pcf`-KC2W+7<(y*Wv0Ne+1On6aO6gdLZfc5U$o)_a
zL;np91pXAHYMv?3y7zNAo%ZPml%un?kfW>8X{^sEzhU3<TC<jOWN7l~>dEuRB2@->
zE~fj`TUI7$1(P|Io1vM>F9-OV0d+Z&Jr;n?3zZzp%!0#AIX7UPpa~&05T2E*Wr$G@
zJ7w&rkfwA6O#Xv<WEtYYPvkQg6!1cU!W4;08CF_{>>D`6kcr6;fW}%TOn;2HKxned
zM7W@a!%~IIM;H=xNo)3rU9W^{_tYS==G%`k&fe-B`%|D2@<JfFnYd-!W5{MN*<=Mw
zdkgq%Fxz0J%SDjIK#i})=;|A2LUK?K!TSKyu;7D>0jeazZ&VILV6mkh8uC!}j;U4c
zmSw%#EfXjYWM6WTIpzlYM}`d_(F0Ofl`AH)09NHP3B)!^Wa-o)kR+sHYCvLaSqW29
z2DPl-M^=`BWJ_h}h_dW!;Hah@P4SUD{0>-O&j<+C8qIHD0R@<|$Y>3M8_Wt!AUPj|
zCssn_mbHIXCR<+2U_k@NVaZ_8d8ot;1V=^VRu0k9hb96`hpe2Co=KIbw+ON65V&U{
z7j$rUhQzx-cE(oHLo-pm!LprkI!@s2!RDi>ENtIyB<NwJ-noo`xwSr{5uh8&5)8%b
z%i4e)t<PiN23tkw95P2`-d!xrfQ7Dvwfh^qSdQkG^0(xw_fS>QeaL<ec^l{?=ddRX
z4DiPR3kS+m^p=+kN5D}o<P<=#u<XIYUM}Ys%g{lS=M!_U1b?vOV!pt=u|E_+01UX(
z^D#|)*;-@Eo)Mi@6Goxi=BhZ~#8)gPMr9D_<>~yQi60OC!2t>FsgizgmCXBeg~S24
zZBD?ZfOygAzPD;6_wkGT4i%>go%yRzQz-|!xv<v;^_5}*ujy}czcjUS$i4H-X%(um
zz;(lSNVC@@;pfSt3!D*fGvEZky@2sD=W<KlD!b^m*+?%5;2Qj@96R`rdd`|TvV<*K
zV4aZiR!bO`&UC~M{S4MS$Hgi$;@7K*-FiYi?5vT-s;VfK6~NQ5su;j{I5(pepjgNa
zU(qs7P_x8f9G9R@)d-%|nc<qAkfAHB=a9HGLT%1~u~!RpAGuO@HH)6tO7m!I6<(D1
z9N^(atTjkiNI+etb9@@vP#!#1j$m}=xB#h7%g}bw6%J;Eo1j|e8}i8`?GGN1#l<eO
zu*~{Ioeu_#{Q0N|G+;TnX>b}=%LUI2#AD(zJaC7p(07A#1z6#@d6ira9$t_YU~Yp-
z-ZzCe;D(4ojvPuTp;^o9SX;|^a;2F8>%oOcX}So>4&@mwVKgdb=t`l>0;33y)%Lyt
z{lPb8qE)4aBN1x}3o95(SUockzKZ1)P~~uSNoa8qLb~HfLV62FaZX>XnOn`7<*XuS
z-(z5tz`CI33J7?BnMzwM4{Ej(Y6K`Hm&m~Gw8mqvq4|J~9C=X(iO|BoO*_w8MRXR1
zXR>XV<3Qh4)DQ1VVz1jyk>|YZMO!ov1a&_9`2iKW%S#2CS9clvIG3^FG{BZ2SwJ|(
zu2jIBB>MzZy>LzTLb;j)wJzrZM_8o{a0ek(M>DW}KqGxrFGpKd$1@UiZg?Rnc<fHk
zC#%u|dqxA_l@|*YIRlSDO~`F8lo%6o$0dcixOhXBcCBu7G<NjNOw1hLl{z0{Rz$EK
zjtQAP^+960ry-;OxC%#MAZ8mq<`HZbGJM7S+#FJ{J6fgu)D(1r;Dahq%fPBm>nK1>
z0JM_JbGQlD6cc1rS%4r?%-QB8*ied8BRD#m1b9i}1^5O+k*-;BAKu7miwPT#GK?wo
zvk-HMm^bLIvnv&iNwD0odiV)T6`GYKrKyKAK_K)~X5E6EXUkVPU6v53F2ekePJ$o5
zDXY~{8qw)&o<?0UY!P+>d_PrN&d^sQniX7G#?oYFFnMAImPWql21`vmHr(alJxp8#
zEP-U`10KjSomPwyNTRSE65#daBs26q3lj#Z6hH+(DYy(n3jl@{s>W$j+8j}IS(flS
z&w1$rp7OAh0{`jZJYamCDCdv*IEVQTomV+hux9c!Iq>2q?@Sh0KxvVt7Q1Ibys%Ov
z@b8>wE(-(&M@Tm_zHmRQcjV8ob3g1qjvEvBNLU16xb!aMkK}=NOEX~-2-xjkm$sIm
zeJ&kK)#-|uqG@0V*HNn@z$nqW`w=*a9frih^o#){R+q-Yq=n}Na?u}h1F_^F5`=8=
z5{rSbLfG+pEtU!-3y^S~gO&@h4}7CaK$WEsU)d86a61#xx6o_kZvo?&U9_J&N+U~K
zxncM&<&LnP9BR(_0u*Fq#VV`v0&u<`>kN85#!QNNFo=4EVu%#SkUFw+bHv7zhzEy>
zBiY&9qMLTYV^zUul83aR^%oce_O7t-i|%P1Ayz0@cT#3RlEQ8Uz+Scj4YtaX;mAJ&
zCvls13ryv1flC32Lx-Vu1rG&)gb?h5=vpHf%gb3%OrncqRc1kvJeBIqo-j`1HRxPH
zl3|UXMxApxYZ_n9=fL>T4`#oDG~{i&;uwh5e1X*ffaf{V@9O5y<Zrp<ScE|xpfXd+
z&JqhRXG$weLAqdgpnZYKC~SkKwk_mlH08nf!I4f^w5FpbQvZKtoa>U>Mi7NlG1mpL
zcx}hYL#Qgrk5uJx1kwr_kcbA@kf+agx@SOZ|G^r;>N1y})90MF(;H|_@KJsYRN>e+
zucp0rtRMO2D^dq*#5v@u@^IT(*{>81t(L^^>vy`G#FibzlpG|IpbqfxN<<iYzJg$|
z$oWc6hN;EFC`$_}O{*<?*RM-L4XIG^iqK!IVguMnD=6vFccCf#iZw=XrGs{P8tv+S
zWUSkuxv7fd=f}5d=HZQXzJ8pvttbpmux@yTUmm~k6Zx433H~0st0wQewtYXi4orA`
zslGn0<0o>z+?OBDYj+tuyKOey=#=T>&eY0b8CB;vzl?3d*0+$(Y?=itc}F-nUpCRo
zgb04F4&!ffLV3SY4-oujI?5j%Wlh~1p_z{NnR+Pj6!@##q5b}&y@9v=orb^ACB6)?
z6NHDW9!urg3FTuRcr*kuP$~O;)sKNm1RT2s{C~b-``P;)djcL)Eho1PxcORycd88t
zuF?{zk^nm`jpl-qBUbd3Qv|X)^daUQDssEMO?A{Z8#`lBE;A}GXKpumPoKS2B02PA
zC|qxV&wLgJj7r=7me~`kq2XU#73`cIo!^&@cZ+Eo)^Ur_5wXF)n4dpD=OKjvnYO!m
zI03zsU=k>S7HiEgQ%9L=(%m0IQ0#+v_ls6tsGfo)ql$yiF=~dlhCB>NV?JZxN69Wt
za51NQ#3=R#XA}zfDUkhcm1HnI>~@!3*)7;38DaqADq_Wmj@Arw1URlgz1-hH^sp6%
zEhwlV*1SoJ7{OH@6@RPs9V%exgxBc_$dF@_{dA&V=pb@ib32wt)V@}^*jj|8@R^pO
z7{`}LB)TwRdFzsp`bNw=+-i95=xkL+%JGfOz%bOOG!q$33M)+AA6vngD?FyyP38V%
zTt=krCuj&DU|8DdbgvLHuN7+IrLLarGuJv?`l06{ABPS58oLy7ASMnzQ#=fN;RS*d
zBSc_-MP=sNcs-ID*tO!kBG^2^*P-A)lFp(Wu|(L>v<+?=5Lw3N#_$M+P!%+iv1*kN
zyrYKa*c2@)6d{yF@>tThgjl$tzIb^@4l&FBl?lUYstjNzXMngjx#D@k<ahFGPHX<R
z8;~-L)G<(NThPU$ZzMsV>`A|Y-q7us9!iA9`vPu%vKQblBo&x7d6k|)PT|8IR!;R%
zJMw-eW%YA+{FS*@??62bAl!NhSSm;I7)D}SVMF8-@>(K+i002enKd^K_sDuT+v(&0
z^u(p4waFEY!UP+7%X|AD-mm@ogDc73|F<8`rx`a6VD*rm1^ffWO*xrdQ6Ft`i5CD{
z1(5++nr>wQhMk97Thtx<%M$dZ2WE*DOenA#7A@w`<k~Qb#WH%3jFOn~0{IQpltsLr
z8!zH7VQ39S;ds)zXiHQVd9iT2JOP!dvygfOzhosBm-fT9dvjo2{`osBKK)z%^#L#A
zgjL6STM5A!t89R1T0%EhFl&Y=w&Ch|zL?>0jqH7%Fg@7uXN>%1PgNVluS|^MhOrr$
z-*(ps$c`DmQ^$_hhw78%ujKV!3cFQx*>cz4t`u^yJJv{E@-rkOcZU6i8L;QNigu*g
zz<suInYHZ>Jq0N=0k-PXwRMTd1%)gSE#PuDLAjQmki3qPV^l?}D7mzZjBJZdqg-BD
z3Ov6F)|uHJQcOg?Y0HHLPtW$Fb>PVI7YhPuk-D689A4VnI{dEcg@AEoS*KyKU(cY)
zJ38Y$GnM=jiaE)Z&{T`7KQ1bk{IMb{IafS(e1BHtd54dV^p%%6PIW)XCHVFes)_!7
z1eCAe^S6Yk=OI@M-y9#;%oSXyEy`}nMC9+g%+Yn^3C6ZB!RT&onLgBCtbn?jZ<=mb
zX!J*$0|wbUtB<oOyEpJF?U}M|X}cysT-a0&CV1MU5zGivMg@z&Iw^u?>3}4%M-^Ar
zry2mct`M@Ah(wdLtyLi-G{NiNJdcl1RZ8=TfG=ofc^vgR>F^#=CaC>v;Zd`)*$GPq
zsl?6-89@aJb67a5oHpAAr8A5h>^$8B>J*Y}Dpv={ZI15I*e17*WXt`;OuV+Zws~O9
zgNu~+r6Xm}D38w1&)AA=Hm12A_FR%s5QjeO8(PV9@2#9L%gUaFg9sw>8&)U+LO4QL
z`GOH|Zqu8;ovK0I>rDTGXx`Y~So5|HC%#x-2B~81mL>Lff{~tV$l+O@R<c=;<Unt-
zqea?mp#lhmA|@lljXE8wFYkju{NaG+)0#{>UAoSM0%IVTDvK$oz+zX|X(yA|NcA0w
zUGJpTu`#03^P4P|Dg{#2^9}LK9XrlpFjz#uxq=~ayEv{Q=!nmRuZW92ohnJO8rj8(
z6p%=zw^^7O-S-ScdR`gVak1aAF36P0+F>BT>@Gs29PGuLECE4RgdW^E7J^#PQne6q
z5P@47=ZytXLViySlSPJm*<nkBdydEO^d@<vxkB11tc7IXj`g3`g(oM}#r-4$!Q+g+
zWPKCqk8V?S-rXP2c<%r5Vws*dr!h2Bzz#sT%0BTZLVcVYnkoLy|9D)5#v+_7FIW0L
zx5V~{Y-Sq?o7JYf!5pe+U5CudvJx7yVnOycdTp#_)d^D3BS>cL?LgFqcBmK%{WE2j
JQkvHO^gqOStd#%&

literal 0
HcmV?d00001

diff --git a/docs/deps/font-awesome-6.5.2/webfonts/fa-solid-900.woff2 b/docs/deps/font-awesome-6.5.2/webfonts/fa-solid-900.woff2
new file mode 100644
index 0000000000000000000000000000000000000000..758dd4f6070c7cb399334ae997ae9ff6523d3b55
GIT binary patch
literal 156400
zcmV)&K#ae4Pew8T0RR910%Gt03IG5A1{^s60%D~D1qA>A00000000000000000000
z00001HUcCBAO>Iqt3&{Skt)iT#vIG5NCk&&2OuRJ4wHwn`v3r{z<B@w*s7n05h<EI
zJVoTJ*8`xcs;a80nwJo8T-)}l3IHJZ(NBK%i(mcbcYp9lfAVL4@mGKIcmMED|MGAD
z@n8S*fBz{k7<d0bn3nCh+#avbZ}^X2zB_k*eoEbh)*fAB`$W-Im7wrZ*r9bLQSr|~
zHv(Z(cYhfRZRtpN24Lysn+*V5umWa>$k+yfTBl2y8URduF8ULtPe@HSJ#Z$+N0aEt
zD<QwG;3CQFv--Romg>Odp!abQCwmh$Y|>_L5?gB&hfU#4vaJsUegc04EwIBTw>uN?
zg(|LIQpJjP<m#bHApFbIY=3g|2KR+_ho+dy7dJsncz9&1d<mx&v#F^F%)<8SKQ$u=
z;Ued=S4xNqB1o`WIq0DFDyG|lLk(e|_erRU%+w9GG6%76VbaFeM<TR4dHe}gt$%M&
z1_R6tK%$H!N+LywfU3n2NWhlugm&aD)t5~x+Sa|v6=y3ix!B3IIM*t-*4&oPYu(p6
zum9h-G-r3g<H^eTuU?1Ouixv}A<g8T>7D7_JiW6sy|<U<@?O%d?xfS5bdpBWNje3@
z3ZaOEMu;FG!h#3_69#0A1O}f8Ngxei0|pzP!8XBZopJoK{cUhy_WvhU{oZ|3-n=Pq
zN<$%t0fxYU1q6meU_eo2BvH+kt}1CrvA$dq!)vXN9XV_GdtLvDO>ZJcPDQHa#AlbO
zcFOrdT31@<?~b=ArG1}(|A*76`Xwlppv0CTPD_y^MWMDL+e++quY;5B3}hgi&Q0E}
zhd4{Ud+a059AS<)cRbLyKH}^VdJ&FD`FVb(`R`o7_wECdM$(8!nvpf5Cwk){%OR?%
zrn(y^>DtZ$db2<im&kS@KrXR23+zsk0)hJpy(N(Ue_Cq&yAP=96<~KYRbxpOxJ#{8
z+m4mAlW~+xWJj5C99(ZF8RR&u;p8Mc>mk+<dx$l}`8>n^fJ@oGz-{>F;a#))@Q*T$
zpyG%fd!KZ6Lo5|L*^q84*s){nV<&yGVK;LUTOliUjGQdij-6OBM>_;T7rL`mh;Kt(
zWV!JF!O!O5-v<QokMAxi1rOpL+=F^(cUnx+VrrQdbAb<l^Yv}JE0~)8kSk@hQ`qo)
z>C7kDdlvxsAu=9v(F9A=<}8C&qume{WipK2rA-f5v|QAH@cg&z+wt@Nt|Ub_6!9Kb
z;Wr4)@iE$cuU?7n=_d5wPYR)`H&xHBn7_oJQcz$w1;r493l4`<Sc%lDkq(EK9E5Pd
z|MyEv?i2w_@mw34n`KD$KefYeN#OU4HwA6ZlUh!avu2zkiy5nD)<MqSx!J0W25xcf
zB8P;q0icEk7}@`Szc=kapQNbQD6{%juiC~I)n!{v*Lqd%nrm%ipS_Q98yM#TFfM>F
zE`TsDfG~hS?7h#y#X09*fcFAHCZZuT5M(NYjdDZ;sVtJx%Rk1u0Ah?nL~x8kM9>J5
zGJ>Lv?2OE6`XHrLk(Ba%lG6KMlvLx3so&+Rz6(}Mz3Q^O_rCR>_sl=aD!=J1vpl0r
zvujo}6>0uMDN8(V(fbq%hSR?=b1VX$bX6Iy?p0yNYDvqBE>Xx|t1C`6F<>G2sv^tk
zy`6pD5-5cLi7m@Y&qSR0Luws|%%YPzld+_>``+_bYpo(efMhbkBIc_5m;}+4NlfTa
zUHl^Iucr^V`vY#Y8Exz&9<sE3h)Z44b_8#D$0$4??GQ7y?mBh)xEDu!L`f7y0)zQ5
z5AKs7==J+t`}geZ<E6`6%-LT6xcdKv?{EHXCO2~3KI%6xjZrP6+=71RI#}dJZrI0@
z_}AI}HSTxlujwoM4wN#%-1da^davk%?&v9SeZ8SA4)F?%nI6lhsNvUIRv+EFOK>t%
zkE`^X+fsf`w5o4F0R`Z>p$c+l6`;tmDvcaOj^#O!=U9=$b>a9CydZ$4i1VuXTM7Dn
z1Bz_<8r`7MwD76RSzd94?wlO{c->0VrAT=@M-Bwe_FgH%^S6wR9N|pHg^}%#;1%tD
z_%t~<`#9{i$X1n;s+=@fGI=jirQze(1NfO8gUU1WJ#Vl1?5<eg3i%QLmUR*SnJPvr
zxEFhN&&E^qFR-WGZ$j(+7<7#HEAdWz<>P2}n0{9(GS7G5xPFQv<L*vR<k&8=DTV6y
zAS?ByeN7kPtFbqES6MKtr^e2Fb73GKUYt9o_p6;E$5kHP0t?T1m6eC=Ea*B~8!X7d
z$wMQ@%|C&k@b>f_v%{d`_d3n(cS(aO(`R;B8UJ1criXs!8_y{RW}iQ|{ETc6{F@FN
zIn+<%I`Di~pH{}VlI-YQ_bzdc)K#LN>RU|LsqtB3&5;GB%5lpvi+vlsAh72P;i7yy
zmsl6abk%y8v0(bB9^F%WruWJ?Y{4H^K6<toIr8jlt6GAg7sNFf$z4U}-bKjzXwc2_
z_?gL}-1cYdah^8NYY+S|d8UFzv(@9xQ2l1vXVq7awpVrS?aIr3)7V};um22(t~i7j
z_efu}`kcppyiWR+?S=YWL4^-DXjF4kJvoC<F8@^0)8mBR8h@@(&364X$L(M2C+HL9
zLZai)248dgoNW7w`9XO4{-pix!eWji@-Fcl_O}FT4%|34XRodP9*pDAsMd7we=1jH
z8}G!9C4i!P-Qj314qb`k)v8R$^zv?=HIRQ&9(w;51E|B1_&w~`o|}Wlmf}c^OYetQ
zD`;{l=;Hk~t$NR=xj$vhBC5}wi-D`&!Tv4@duE@>Qo7g=t@hYVpml!X9@YM&dcHJU
zD(zLyd9y?FLi>l_IdMD#jm#<oe6eU6n=|BF9L>f`I%Vv2G<V6fpC3xrk_Q(#=i%g(
z?s@(FED-WiXGWRDy5pKM9W}1?Fivvk`1{K8&-2JFhXZ|9`I(+ev`%Pa`n)_Rc$N58
z)*GeAM*j9QS6yhW9+Ue+XHw;FXBs!1J7V2JJ{2)X7f<*~9#r5KrB~^^HE4cnaE3*E
z+o1HZSCMIsuW~d#Da>jd%|72Z79BUeW0|q+L3s}tHS4P(?oqF;k3U}=xx=$EUuy2x
z^ZU~O6sJ;M75<)*LXRKW*S44RKD{5pI_b+c*Ok<qz+#-M#`7Z2kxo^)D@Fv)icEfP
zep7p<bC934$Dq?dvD?2#dEVWnI0t!QHXAM-e1G>a_)6?n-t~+Oi%}l;T&j1w&N9CQ
zoFs>aJKq-C1QxtMJ>85MGv~RO>jO61h`mcPQ%COz1G@`v!2{HNr17@3(v;D3a=+Ip
zHNJv!IHm5-Y37sZa?DySbTY?36Lbg-C)gG0v6ECsZR<Lf*Gqvo?N=|i=h+=T2=!`{
zZ#iywAqE!#zK`X<2ZD~46Pg#@m_4t5GB+82c`x_&>YkVDXW&fN(I62H2Y+vGlw*2s
zxs&9e#M$5b@-Ah3T4&cKe}2~gKeR4pS7NKgqOE5w5j6dkuJaEkSMt1%N{tu2tNAnK
zo#f9emBZ8im)Sh=rM*9CFAX)Rd}VeVNzuJ<cmYrK$qcPyV0mtL-D2~l#N3&}P@n#t
z#_X|sDXBTF^X|W|@l0ZTQ;0kr&Urz9nI)ok<~BX!+8S<r+yO7&8<Tpl^Gm}2Kjij9
zl&JeT<`(Z^zhq3Gj@M-TXzTNJ?PgVuC|z&Dxdz{c#K&UCD*dp|6)yav%lpU?bw6zM
zd-VUWw5fjYqt(kw_gAfX(6+9SPO^`3uB0q>)BUt`)pdsYogQbU(<np#t7G0!PwSXI
zC!PQJ{!HV~_@&!{;{JFz`<0#&PUlbo@vDA~VZ*p9-p^Xa*EGyje%Gn}n9qMJJ7FCe
zjwwlxT=gNTdlhc$rT_nHi~+UHUV^c86}Aa-ex!rCF;IE7RscQ#4?wB?irlsEn)Dk=
z;UV7b|GjSf+!;XBVIPQ7hhY(*KH6dg#$y5|ViG1}3Z`Njreg+XVism&4(4JW=A#S?
zun>!|7)!7e%di}Wa0DlC3TJT@x9}X_O@=8nMW(H3XAYa==7c$EPMgc-y18Q`cD>zT
zH`+~hv)y91*_-y3eH=-T6g$uPuE5oCbzMDI-|cX<?xlO>-nw`0qx<ZBxS#H~`&W7=
z*dJUCYJ+FN@8AzXMUOtyn8hL*M(7x@9viR`8?z1DvNJ<=<p_@CD30bBj^$)dVHuZm
z1y{426|7_xt69TM+{zu?#r-_MgFM8;Ji?<q#^XG}lRU+Xyu-VE%qM)x7ktTA{LWwe
zD-bQdL`j^)OM)ayilj-pWJsoDNwyS;m8Q~NdP*<pBLiiS43?oXNw&yV*;cnjT|AV`
zpD=&={2B7+$lt`patU2BSJjPjv)mfD&h2#v+zEHuop*QKQ}@QH6qO26MVd)>=_><e
zyv&rvvR?Mc5xF22<*Gc8NAg6z$ancA|NFQ;n=j}q`ni6CKkd)^Oa8jQ?ce%OkxY@p
zkz<jcT0v`S9UY*<b+nGxCAva)>OnoC$MvSZ*0=gezv$NxJ>(39L*vjU3=Sj0?65ej
z3me1MurC}AC*F>EI}Xth9WfCLiI5yAkP@ko7U_^48ITc~PzhB~12s_#jnEz)&=H-`
z3%$_?eK81=Fa@(P8*?xh^DrNauoNq?3ahaOo3Itza0th68~5-U4iP8<-r_5M;3t0J
zH~wdA#$kLWU?L`EGNxckW?)8UVm4-HZsuWL=3^n2WI0x1E!JiuwqQ%PWheIJ7*6LL
zF5(g{=Sr^PYOdu*9^w%m<#C?pHQwe^KI3z~;A_6+Xa3@E{>8ufzeTm!7T+>iK`Uit
zt*+IxM%KhS+5j7EV{Dv_x9K+D7T7{tWJ_(Ct+aKv!8X|r+heEfw4Jqc#)lWoMRUnq
zHdoDcbHh9~FU(8x(fH<@`Dy+bW5k4-C>zTrv>9z?o7Wb%Wo-xB$#%6p>@+*w&aq4F
zE_=mZv$yO$`@}x8pKO5j?H?O%Bkg~RO-U&`<)mCxl1fu~sz_C+8r7g$REHW+V`@q*
zs4aD(F4UcR(;ym7BWWB>qA4_;=FkFKOe<*(ZKiE>h)&RXx=h#UCf%mT^nyOn7Ye4Y
z9FGfdK`zS0xD=P>s$7ki@h0BRd-xci<g<K<Z}9_u%+L7^zvqwqg#$T+zws~r%aIaI
zVoFj;A?YNGWRqNyUy4c@sVLQ?rqq%8(nOj`D`_j8rMvW&0WwI2$VeG2<7A>tk(n}2
zR?7z2CVOO`9Fj9~K`zTxxhZ$$i9C}R@=D&wJNYcZ@>RaeA2AXp5%7=@iIECvkQv#L
z4+T&Jl~5HmPzR0B0<F;jUC<8$F%%;(3DYnWbFmOBu^Jn(72B~J2XGjtaUPd&71wbK
z_wg7{@f`2*6~FNh77QTVMR##re3!r_bctM2m)xaxX<a6l-xYC{U47TkHFYgqXV=3G
za^u`2H{H!~%iJ1w%{_E)+&kyHfA0VP|DNY%^Ky9ky`o;lmbw?~q*V!M7ceVe%@KnG
ziv^ZDx-$cp1g@Wdw%Ly+kM-*8HacYd>i32m2{{pRD&%oUK*)D}i;#bQ96yg=+;8T$
z_lNnT{dxW}f1|(E-=}qXDu#-wVyieRspd}8&!(!XYP;1@O((k^e}6SpO;t18BDGYl
z_&6KYR<&L2P)F5O^;Er90V+tleN$@PPJ248j;9mqL^`Q@X<b&GL+AW*1$0qeMpx2R
zbsb$-H`T3lYu!P2)uZ%uJxjBf?XpoHnDe+ktFP)u{f|08|NLV*9j3#LXJVT8CXLBv
zN|>^ys;O@pnWm<h8EA%?v1XiRFFo;_%vQ6<oZQegbHm&*Pt8m7LAz+fdqlVKb}3`q
z_PY0GPhOt;(fq=WPH`$t<-To4>O$S9H}$2VG?K>9B$`aqXeKS7MYNPwtACa*(bZq)
z5xt<-^qGR_D}`|?F35$r7#HW#T!yQ0bzZ?+cqi}Y6MUM_^A*0skNBzP{ye{kGtMdb
zq_C8c3L9!6ZKacRm!8s3+ZrnqWQt6aIkH;T%2rLDp5KjKK1tBdzeOEJ{v!brBjucV
zQ2>Qe;mb5bYqUpa^uquQ!Ej8(RLsC^EW`?Z^exzqo!Ey%IE8b#ge$m?o4ALE+652y
z|G(+|Iv_nYF*T)MIJHP>@da1u&rMyNx@<n@{;nqHMb7h_$2s?N?&8OGPT3k|E0rx5
z|HfzWMm!hK#{F?`+!J@j?Lb@^7smy$eykCz#*#62Obj{USNIfOhWp`ixD<|u17UC2
z8Fqy2VMACQR)$4kMi?0ShIT%~fArV=6@Ss6^{4$Vzs*l_FWhst(e-!TT{l<5RdN+v
zIako-vvf<f|Mu7Z*l+t~KkWx#-|dTiwvYC~-rGBSYj5ney|Nef(C*qzD`W+=3eZYG
zE3_QYGC)fKK#Kt_(gHy9mJ8-+w%?X#Y6hU`fTn4xrfAaBnkE1muW=fyF(JnrrQsR|
zXsCv$ullHmx~p6I?W@k}v=y~iJ3ws#wNdL-{n6D5P)oG{)ErPVKuy&|jnz;M0M%DL
zKy_6|wG~xD#pC^+3#tI1{K}_1%wRgeH2&pJe&bt!ZvejLD?aBvfOi4j;cedJbzb5H
zp5`eY0eBGLes1SxfSUk-8vw2cxE27o6yRbm;sQ<uI2qt1fD=RiXa8{kM{y*;K^(yT
z?28BAz}NM)eNA80SMue30iWMzGxI6*SAX<NKh4Z^UFUUBE44yPwMg?dPct=LlQl*I
z%+y!i)lPL)$4uo_PGwYDB~?PjRZK-yNClK%d6iSylvP=jQ5lp@X_eYc$(2k=idURs
z6(eWH|NO;o{KC)t#E*Q<=X}b?d}zkgJZ8qDW;|lX!)83hgFL|f+{-=O&0XBd9o)`s
z+{6uB&vjhO)m+JCT*A4W#TgvS(HzEs9Ke3;%^vK;_H50TY|f@^$Of#>x~$1+tjfx)
z#ELA-GAzwfEWzR|%ACx>EKJXIOw9zwGMb)b6hj!yAO<pkhJW~tpZI~V_>4DrjhDEO
zd$@@kxP<dKg_AgrLpXqa*o|%2jEz`_HCT*ASb+JMi`kfknV5zN7>`jHf#Dd2AsCFl
z=#8G}f$r#r&gg`W=zun8jC!bpTBwN{sD=tCXJ%%Gk|=@VD2gH|fb7VOBmfQ(2y_43
zFZa<sb5GqP_t4#Nm)%A@MD2^(615qKnin-5ApigX0MnSpG^R0)X-wna|2Cu+YNf%d
zsAcM-vOJ@we5&#)uLwn`krI`vHma<jp{}YL$|9DqfJK_4Ia<Q&T*B*2QyQQ0shaRL
zH*kXvaSE4l0jF^uC#Z*#Ie`<{kMA{sJ2;$09K;P=$GcpnQ`*No?c*$M(k^Y$B+b$k
zP0=ik;TB%!HC|IS)lw}bD^;l!^LUI$ct}lDO|?`_$%<Dp$FRtMs|J(Vf(Lkj2e^&<
zxP^PThh5l-J2;Kc)l8|X#)_)SkE)@{{LL_m&U%#MIFIvqi0}E@kN6=!<OlecU%eZb
zaFK7}9Pj2`yn)yA1>VGqn8#II#%bKaZT{ZJ0RVvCe@<S*%i*<~xPylQcIGCTTiOSB
z1HcdX5x^_E-*Fw_<-PPeFUYZ+zi(~?Se=iDd4xv*Hew6=T9!>%g%xb|4!*&b*a};}
zj$OBh{T6^7dtehAVIu&mwY?7-4g~js;M__y{!@b-{J6sY+i(BrULZO4L)i?#I=p|I
z00c{bgq)c54Qw7@mx9-TO#^HS5VQ)~0D(O8MzqEc+Q&8ee&GA)1n@odSkJ(WXdk~f
zt2=ZDjQBzJ7fKsol^SQBi#CDo$3HRc7_g(j4g%W)PStmD8MjecJ^Aa}5Kbba3iW9~
zLmJVTCN!lP&1pePT2Vo3+EAcKB{^*=5tM01dpgjOPIRUVUAdaO>~g!puC(jydb`PP
zv0LpfyU(7mC+#VF%igyS>_hv=KDJNnQ~TV$urKW!`_{g*pX_J*#eTIvZJsT%6}Hkg
z*hWd!)l|(@p_00)n|i3P`l-JLYp6zRjK*q$CTfx<Yr1A=mgZ<z9jlXds?N~ax<D7|
zB3-OYbg3@W<+@JS>o(o4d-aH()SG%oAL<KzrQh_Y{?|Os*8(lnA}!VuE!8qD*9z@)
z^W>RV^;%xr>v&yn>dn1{m%Y7r@Q&WeyZ8Vf<b!>P5AzW|&S&^cpXIZCj?eX7eJ|g~
z_w~d5SU=HE_0#<fKhw|hv;9K9+;8#6{SW`o|Mz)5-xv5oU*yYub!wdUOZ%sD(@p7?
zbWeIHJ)E9Puci;uhv}2_dHO1Smwr$4(z3KE?ab<Ak+sXZX1%gLS$}E)bZZ3w$$%nI
z1PsW55+I-h&=JUhZa{yaDliDx4X6+7`|X+l`?;pT{;nBtfNKsM=vn{=xt74et`%^I
zs{jslt%1W_8{lwP0FH1);7C^q9OZK0XxA1v#+86$T>!_qGH|?W2b|#A11Gu;z)7wn
zaI)(JoZ>nIr@Ah{Y5R2r?uRY}9)vCi9)-RF9*4#NPr>T|FG24BuR~*jpJCSn8{vzf
z&=B?~6k0*kp-=(MfI@$00u%;76QS?`bT1Shfi8l=qtK;Lcntat3Qs^6K;Z?Xc~E!-
zSsy6830(rkN_cH3UIY6Hir2z^f#P+rpP_g?>{lq>0G|QH8{spdcr$!gD82@DgW~J3
zyP)_1)E6on!2X2F*6`JkJ2VOM1Wks#B|Jgi4%!v+_OLG??*RJ}@{UN2A-@&&B;;Si
zK8JiU>=VeBz&?O{IqXx&SHRwfd^LOo<ZIy><eOk0LB1LGG2~leH$lDwx*giS3BLtO
z_dpd;dI|O+l)i>$LFpUVTTt36amsBps;EwD2|%|&7*JCPN7f4>A?<{y51j$g7+FA6
zK-D1%NXsB9k+p-!k=21HA>9Mf0qFyXPDsx|bU}I*qASwp5dDxIhUgE?ffx$ShZqL^
z4>1Co2eBLcbco&IXF==%KO16C_^A+k!Owu$8-6Clfw0RV4ubxKI1YLe;xw_Brz3vl
zS-@9AoCBW+aV~rz#Ch-q5a+}HhqwU#AH;?5`4HDb$3ol$H;7wdw?N#EbS}g_uz3*o
zLOmevgBC&D4=sjx09pd^AhZDDA!sSY!_Y#AN1$a8k3!2K9)o5<JT9hu4rm3$o6v_4
zZ^2K5_&~~K`5{Q(L41U?3F2?41hE+D6Nn}7KOi<D>k6?2=_`osjW6$7?pOxYoEzm%
zm1QrJ5x+76Is?kpp{`J_f%H3+Yr?BSxfZ+@l<UIBLAgHC{!ng!v>%ik!mfjIBQa%T
zVAn&riBML6^bnMbNb=AN^yYz~^p;1pIK35xa&=_A<(i;cl-_zU0loFblpC<{Kl+;9
zMu;i52kA6=7r-!j7b1N@?;=#Am}P!c+c3)lsJ3RdF;T6@Y?Grpf!U@I${9djpV`(P
zBb`n?lzJHErXEu;FZFo8kol;WqFx5`Q*T0jAQqxNf%-&jKz$MQ#n_1YQo$zFx4@><
zx5H-C_rvDY55X4HkHMDIZ(-;n)E~oE)L*T|*3<*k?Rc$e=3y<iqgjMz@iAJ{EDh{T
zvo7pHvmNY8vkUA-vj^->bJ$w!L32FK31hIPIg7Q}o90rQ%f?(yb2G3X&E2p+&Es$Y
z&GT>|&C75Q&3kY#%?EG@%|~!3%@1%G%`b2`&F^po&Hr#D{gGohivG0pr^C_o=MWrA
ze+f8_{wZ)g{mbD5`VYa0^dEzh=)V9b(|>ggr_g_c{+l?J{-EG=`rpAB3`_-QGH}-z
z&SKym2JXe#4E!cImv(VDk9LJIoKL$F?aH`-c6Y%=wEKNU7t<a{dk`+6J(Tt^Tt<7g
z;0oIF;Y!*YzM`vWZ>GHiSJU1_dpB;Ry-#a#GwlPkua9$oqV`SNFYyd*O*@EpX-Cn1
zhfipK0KTC8QMSFE^AlZ#FX@KU&4^#<dUSJ<#-p2;ZY|Q}bnDP<Oj?9)Q@XuK%h2sZ
zw?Ankx&!G>B5g)@3f)<xJ?PG%yOgv)-Q{#wkdCCgn(i9X(R8=a-AX!^?k>8!NXOIN
zPj^4*1O^Xg@L<x33?9nhp`?=tL?)d~R79oSzf%k$hPHi83^QLbolXoV#v+|Tj6;l1
zx`3EKsFo%sM7o5SXpDR+F)=YI=~7}cp<17q9Mwj|6i8PPQz9QkOf^Qjl9-lQl5`cZ
zw8p4bCYB+VCp|%|AmpQn701kn6DtvGlAa;fCN>-6HnBNKZxdS}y+drdmh=I!HL>G7
zp^2S<VZ_czUl6-|MMH^Qi9JbQ5_=Ozk_L#QHAecGIF2}x^b2v4kk2JfMm~=?1?dms
zRLL99PniBB&LGYt{Y9KjoJ0DDIFGo1^dE7dkf$UrLb{!}_$y|_<;0cbL|jc=Lmon0
ztKUFgg1C;jlRS*Lo4A)e9`Q8sCV4{QZQ>pB48(`Tm*km<T2jt#>=OfXq$b)0LoOyd
zq*27+TGH>t*Tj!wyRAeJzmgXvegoB##P7(b5r2%CZzldE{wFU*K^Z>3ZORD7sJ5hx
zq>N5plQM?ZlGmq<Nf~SIx|K2xWnA)ll=1LTs@*6PNcxd7VMO|gG6`i0@&=SCCFxqq
zR1tYo$~2Ve$eU57S48@QG6SVY-jXu2!~~RCByUTZb<RBz^s&rFnUlO7Wp2s><eexB
zQ5GfdL0N*b<k-4LS(>sUc|XcZOUWz`?MGggyfSHj@~Y%DNr#cwQh^|^O<r$KzC+%C
zym3A6W8Rd!73pO1UgUjAXOa&mA3-{od=&ZEd0LiFHWF)-PmPGR$fuFdAYDv8OOh@l
zpDk%A@;Q<&C!bd`T|vH(d=cqN@(tvhNmr9^m89#*w?)Q6<lD)2kZvH~OMYO^QzAb~
zevWh-`6cqpqzB0FBIzOWd(NJ|kEDmmAGk8qpAX3&lO7>|O8%PkIQe_>kEG|wzai;G
z^6$<R|3Utf^b+|m4iRIK|0e%OdWC{Ag!BewKpBSg7G-$K2&DHY<4`6heL$IvGShsr
zWSN69H|bZ(yp;J!jj||ZxijclS$-)<|5H|?tbC*5tgK2z3`JRuvJsIeJ1QbZq3lN4
zhZvQzucnD{DEm?Nx2FdnaRcQDNr`fT#CVhw9qCC(j88e)QG6=pG-3kE>4-!*OAILI
zOH4$$aF&L=PPvG3F)=aaQp%OYq?BtY*Ai1v?xfsJOhdUx64O!clbD`zzaxDBi5Vyl
zI?{)bn33|ZBYl*JAtzBDqdZQ`M0r9bV`j=Tl$VKFD6dl9Am*XGsfgH(@&V;TVgbrm
zl30lHjl{x~?<E$Y{8Ta)rDRGW7Nc~^Z^ROmKP9mg<-d}#G&NC&B9@^JM;(z^fjXfi
zR-sNTu_|?1iPfmH7Yw<XIuCW;b80)(b*USS53;(^BC#%Y(}-A)x;b?VVtwjik~A;%
z@PafS^=RrbSD3PTDiRx0uPTU5s1H*gnWts-F(fvpJ|(dQ^|^@HlKK+$6=EyuYm(TO
z`jNzT)K4Y0r+y`|1NEnf*pd1d^>1P)>c5h~+0_3fcA*U|u`6v<iQQ<EOYBaYQeqF<
zR1q-^ZFbt6#GbUdRS^5o=A+GjeJ*PYBC$Vh5s3q6i%A?vTSDR>+ENk+)0UAqgtmgj
zp|q7H4x_CqaX4)ai6dz17Q~UX4QU(AfwQ&=5pfJ{Gur0Fv9zsKGLENhOWTP!fwn7c
zcj7eKo{ESwY5UOjBhI27q=K{v?O@s==NwD4!)S*S=hKd)9Yb75JAppLrL>c1Cli;^
zPNkhmTtPdVcFwietX+)6^|Z^}{-rk|aRcp+KE{o-dujI*H_;xVJxtt6dzAJ#aXalv
zN!&$yIwJ0-y+nJNxQF(J3gSN6+q4g^8JB1u(>@^{rF~BOf_R+vHLiU0{);{w@g#jL
z`V7~7vp(YzVRZUT^jV1?=(8!p81&ica}mGL=T?N#==0DQB`SR}{aYE(7pI>_{7XNB
zei4I}=$FthXRt2)O8PYnHl$xqzm37B^gHNxGT4@WH~n4)+tcr-Kg3`s`XltG80<!W
zhW-MBed#aJUuJL+{Z;zw3=W~cLozs={=N*3pnn)KIFkM`oe#evPN4IRBu=99y~N3M
zev&wa&TkT@()lwYPNOrH&N$+9vP%+Yk|A*xIY{Dca;U^P<RlX3l2b{XM^4knIG>!J
zoPoH2oQ0f~xQLvSoSV3WTu2ddIk_0QIB^BJj3llimzTJjTuI^@a#e|I$+aY|BiD(D
z>&f-V4Tu}ajTI3$lUtBm61R}ss$|?oZcpw=+)nO7?nc~2?jebL$-N}*BlnlMpFFT+
zJU|{y9zr}w9!4HcJWL*?lJO{c40$~97<m$T3h@+qp-RTH<i+G=#B=1;<Tb=g<V})z
zg}g=LRq~FAc#V9Je293Rd`uE=l21y!MLr!7Z<EiF&lB&EFH7P*@-2z?$#*0^Am5Yt
zko@5M_=uGFnEa$<d_sOfeo1^veoKBwd`|u-i7&~YOU75^@8loE*W};izr?rXXi5A)
zj@>SPBqv<jixEFjeW`xLFVp}E;x}p-HT-%>RududCpD$SU(~b_@i#RyH4E_%HJeJt
zf7G1RT*Uv>V$>2uQcFu>6t$ehXlf;iG1M9nF_v0~T8|h<ZK#qBwJEh3t&7@{+KSel
z+C{V28nqj>JFN$`7qvI77qu_7AFU5{ICTWAA9XZ!%r&7BbsTj(Z4h-Lbuw)TbvhAk
zICUO%K5Ybbp`=YrT^`XUp{}B?rcFv+t3#koPF+vkNSlJXg}RM4HFXDdCv7_F0qQ~8
z4AdjkqqLc*Clt|Up`N0irp-z{tH?Gx^*r?gZ4T-c>eXuuJ?eGpP1-!v+en+Adbgl0
zKz&4gdd;;*eNX*JTa@}8X-iOlMYJWUf2sdyOHmz3TZXELwk$Q88be!-k=+#0R$ydf
zWKY_PjO-)n;=^+xy9y^mc5{AdcOq<A$exhBz?OsTqX=68vOnYiuoWQ(No-}v;Ssh9
z<V46RV5>sTEU`5q7ZO_wayhZJAy*Jv2XYm$bs<+5TMu$0vGpN07ux`GN3jhd_wA!?
z1i3%tfnXa$9twFF*k+JNKpqXY1>~s`+XnLN2-_C&5y(fuwu5{@Vmm;-Ew&@%yJ9;*
zekrvl<j-O|L;erj1^s$3ssAAFM64k1N~|;T?xf9)ya#FXAn!@qyvTcz(i8b$QqD&{
zn$%g5Pay3t<P%9t<dcbYL_URBC*;$KEr)zoQXfD*8!5LSpNrT^$d@Pj5BW-@9fEvi
zv-@ozwmkCfNE?BC4^kIGzBj3lBj1O#xsV@9^fB_oNO=|c>7-nV{A^P1Lw+u)TOhxP
z=p^J9ld=!;tBEd0ehsOABfpWf^O4_1>Zi!>Bsv!PBc$$y{83WYL;e`C*^xg^+IPsG
zByD}<PZ9lt{25XYMgAOVdm(?3luwYqLh8}TUnlh_<ZqDn74o-8+aLM6q+O2uebR16
z{t3~!$Uh_H8suM+vM};*NLvZ{_oOxCL3A1N8AR8jXr#T4q7!K^qv%Z9+bDXF_8E%)
zq`ie=Bx$pwSd{296f2T)8j6)jIUU8Sq<(^8P11Ux*n;Rp6kC$|9E$x(`vAouq;*7b
zEUA~FIEmDaQJg_+6pC|+jz@8x;m^nX`~{ftmqN;1C@v@E2^3coJ&fX7QkOz;1F6@e
zxP{m%C~hNE6t|O7P~1<-N+=#6r7wzyNEwFWVNyRr@rdCch3F>~j}iTh;t5iYL-8aj
z+o5>M@Xtf)swiF{`V+;Ar1nSg5-CGbyi6J>-XOXj#apDljp75+zDMyPsVk%Si0FS5
z9}`;<#V4d(jp9>cQ&D_IilO+5)Z<Y6Ldvr!ekFA)6n_w%jba9oqxhTHj_7wjg!m1n
zq}u>9NVgc~u*9n{hbLZ*IRa^gIU;G#Vva;S9&<F}pO~W)FT)&zG%?2{Z6VCDNP7`;
zY~qcW<B&Es=D4I?f;koOGt6m78x?a}5+7mCNa9q?IZ0a+b1uU#1Bt6Kmm_fx=JKSw
z1#<-ww_&bG;%>~9NIZ?XGKr5d*C3vcxr58UkUQhbN66hE@gwG5q<w<94~d^K4{&8A
z<Ux?Z#+ZkbHVfvluDpgk9?~s`c>;;eF;67zRm`)<U>VG_NjE&^m9EZ*yb987jCn2b
zCd}(ddja!$S0_W>1{v&#c_(RsdAG&)_u$HR$a`^hIOKhhb^_)Dq}`4Ah^x;bAHxyy
z1sow?#^U?8Al<x}Z<B5w%y)^GV7^B@1M@rLx0v4(3-hl9bmLrJ>Sh740G5zg6RVL}
z0;?mjAXboA2x~xMVXPq}7R4HlbPr<<Phv-`kw`3pH7aTAV2wj!RjhGItd2DviPf+s
zAh9IYgd~>6nux?wSd)?%4Qp}|+hI*jVlJ#1NbH9-BZ>L3W+JgI*32aK#F~S|oLF;{
z*br-R($>OSlEg+>hmr1AtfNW$6YF^5QCKID_Ab_`B(}#o&E3ywsIwvM7OZnf9E)`>
zX*Xk?Puf&i7n1lD>oPK!59@N$KE}G5#D!SblkPjL8;EaV-AKC2ux=tTEY_`r*|2UW
z?H#N;$zUC<yGe|K^$;1%gY^jM=EQo8baP?7NZKD*FO!%E>s1mDVZBcL3F|Y`w!`{@
zcmdWAB(}!-k;GP5zmmc9Sbvka7>9o9+Q%^TGtBNk$M9cZe*R0$_^%+{Q8@H#!+(R}
zzs3CgcUU<8Jr>9RfQujck#J*?(2tDS{n(K1f9%I6-7wfsM7q1NpMu0<*iT1daqJf(
zF(vkklfn4dFF^(qV80~k7Q%jI((Q%)8f35l_G^*B7}&2*21{bU59waU{#3%**k3^6
zGwiP>@h$duk~kdudr0h${Y#{shyAA{j>P^mOBeq&Bp%29JJPns{(I70g}pu8{~;JZ
z0eJ2Iy8FHk*Zw~Q@=CyKUm}<S@Y+`h_&))!eU(5?0baXCF#Znk+P4Yj{|CJG9RfTH
z@LEkUYQQHSAQ+DVKKXhAISKgW;{@|6;FG^dFfG6*KS415H{g@M{+|@g$G`%ZPjQS>
zut7isEf@k+6|HjJP(@ngnpP@T4Na@GNR_U7Wu<jlt?5K1s-bOa(>0ytS>71kamO8Z
z<WD^D#2vSfZ@>Na+lwcjc;fau>i<F^BkV*{APO1Pvq%a&xOC~#rTS|Jmo7~&UAlz)
z()7}$Ad&)6$f!Pwq(Brh!U+HXnSXUYgJ<IeV(0>dgIwz@?NU2#=tw2SepL<|Mp>14
zmfO@;i5f8`C1Z?9$yi5m*X2ra*X0Vwk}<~Q93*3mNrd_c!zc<7!zc>zAD_wt%>Nmu
z_*QrY+z${YO6!DDUFb@eRjCr?as>BP5=YcdQ>`OtQ#;S{tg5t*U^mZ(gQ_eFt^LZX
zREk#AH{#=xQgrY24A&EqQo;^)dH7sxnc#ifLVguHj^lgddvRj8o;Z0<Qi?W9qICQ<
z!Rw`*lhh%BR!qj@@ts^9Oaym6#Q{#?%>d!P(mIJ_y<hZoqLofmLTzg2xz4DaE9(=b
z^nSUi_<wb3(^yB;PP=(F9O{1B*QwSz%YRm@v|gc-s?6Kh%ko@n-48P>Rap)7pel=r
zWQ-Wt7t|q!=gPhQ>M|N8@fNg!iCTyf$!)vQT#Ocu>VHARaB(T-mTB4C6OA|ybZe0i
z!*Cb1kt{4ki4fEZ!^KE3CUMG`Tt~<7Tq!6e4i!A`Et~orEyv+<snuBtL)S6ZBx8)p
z)S#5voC|JR7PW1|_Pl0b+0^&YcBqg`t<G{7x{i@b#sCa}`8RQlk3tMx*aN_FsP!Pv
z(k?}9$B{~k{R(N8XVj*NN~*F#hmk+Pm@9-^PyZf`qi<rn(`n;V2cXNyr@KP9jMdZ6
zkvL-OVY3;oKXuGu85nS0&u91`PT(1NomILfJldu-$8))wQC$yqD62~6+SVwQ()kuW
zm5g2R1gF$6_<i?#hG9Egco&M@@N2p6rS9W~L1`JBFeV?lff@$)1a}V4Q7*V=81@a9
zYxL0Nv!5r?bAO-54TIkBh-3^9g87&5BX|Wg0Jb9A$2!$rYNzv(LdR`N@1ZXAepL<!
zd6uSnh)^HWD=o*JTydEiFL+e~x;ACO3`cEPV+SB?Mb{@PQSnpvEYI>`WmBzf8n>-h
zzGu$zEC;f?dw96JOa8w6WV6*mY_&Fr5rWjm@4FmftF<})b_@aJXIH>?!X`kN<r!_C
zTupmar5mZyQXGHp#sq^#aO4q#I)d|KqXW;5j^1NNI1U+eM~>j!BL;2P|M+e1JL3@m
z&cFRUq7M*uDb+Q9(V(i*qTOy&U7zCoM`U@HKh|AXEv-fE?NirnY!cjj^oecso<q#2
z{Gviss*6Vp?W!=%>K2mCjq6TrKe8XwgkkW7g>F|VEYqJl!U-G#go8@!vM6+`Zu=8#
z+Bz@Hb6su=5~Xya3SCxv)sgBJ{U8Hl@=GzJ{tqPwS&o=z2hZ&+wR~ckCg+?}B37Q;
zjv~Y;YQHS-cE2JS!|~pI_1M3Nd3JD+<=6;TOwKvAOp}|7QC!ro9>)Gf#v}mFzcZiV
z7~cjb0KzhFG2aGiQ$yP&IMwZmmH3|3=PlFZf^&OJncJA9Q`$+@w3BKPA9^L;Cpfn)
z)8zG+0^dKM=y!6ykl+8`AWi-CrMqd*c)O(PQQgLxy*SO?#qW&o^B~a6Jg>d5D6BI~
zZ}E8rKj*uQtl^~vqU+j)_cH>2iJk7mt32+11moX-h9i6{q;TEUfvC1=6i0Di_kD5u
zEYI>vMIP!9%W(VKRb{cS5|zaNgCV+};Oy}paoC@;wLQ9iL5M^xE~-R`)~DkuJ;516
zbU(0t0uhM=k2t%tYd!OSFC|;tFIl>t^Z$;<&Hot>aRRG$d-Ph};1{i-MSeCy({-Gg
z!#U@MVgJ_encT<uK~RsmVc1k~j^{1Q{jJK19{2CUA-oU(GyC#sgmOAu94AU=0}S#k
zFDqK4g?@e3KccJ(-Pe8nT^RO3+ov59R!TPfDY1|1y|PpG))CVMDRI45j>_ITO1Y5Y
zI0%APvx(SjwnmM`L8sGy{Z)#48ModmhwIIyR?keG)>3nQIL2nPwfYOTnoS&iBsSsy
z#g2=X;5a}SDXkN4GCwj8YEU~?!pX`iglAD~HU@T6RwJdazU|ERmTmlo#`@!o3(rM#
zMhFVuG_iJf&f3Mtm}a&00T+=mF1%;j!Z|fQhz|x#ta6E^Eym@0!}C3S4)`Yj?f;W#
zbJMga=e(Xa5F0q+oKt)a=bS$D5apb6)3hdT7`hY7G`UQ=1u(*o;0R*aj@nhtMCxmi
zW$LwfN!kz2RRoAh>q%cb((|_IyNf3aYaE|r2yIO)v9yI#zK06F$1BGgmT7XN^|ezx
z2}jqZo*tM$FrQ%`CvXa$j>i_OvRJD$7fTJNvT}&X<`qfaasRNqZ8>k6jpgke&vCQ2
zwd@DBZvE}&Q<CeAc}KGwE-&>_c4JXEt>*IbnrYw_k#<ZmUFk^x=2HSVh4XMX0J4Zx
ziAq#<;`s70x$*CWbr|!oWiFa^#xaJxPL^l6%6R5TxUnn=Da#wxJMGg>9CW*g-R{AO
zr?q!&wKjK`*Nbtl-tIU;!OtgUdE<zRjvAA)yz$1e4B+{_xjp+1hY4$ILU6*^MLCSg
z^KkY28_SYR3G03UK<4%QpPv@2!3NV2n;M$x4P{m7;?3n2|1ffGglUmhTKzMNW9Q<A
zWm<xBZnuA@V{y)fWttlox2{~d^0cSnkA{e0Jv-u@+ooxWXFW?;rfGA|kFZmJ?SmhT
zrwiJ!hcKp@EY|EU7e^iXJy)egIt0rm!L>dNfcuZj-a0lK%PS)BN1u{FxccbmXuR%z
zIKgJKHJPmNYp?gpbY-Q{?U%iEoQ^}G<#S<vja!VLzzzUrsb<CLKGId=T+Mj=#NNK+
z)AgxSdT&pkI;CA9nCl+ia?9b4FQvb8c*`w^uFHgQQSa^P(Ma#@akNi8b7uF%i4!Mw
z&YpF-a2bokHV)s4J2~Gpfh1V-T8$zt(uO7w9>mb~`u$>M6>)W?*uP#ln<hs`M@I;o
zqP*N1m9=+mHd{EVr{URtqQAmt?rNyJ9H+W<J=d!&odv;TXSGRRPD2(a+Q;9v!&t7k
zdv_v+*K`cF?^|>9>U2@FBis33IK>GZBrK>ktz1<1Gx+Aw#pV2qvwSA?4JWs^`J0CE
zepezXkzIG)9eVnd+fKWP%;mz}xgL)+(ZKce_~>3wN_E?b1ERKpNX3M3T|~BlvKnNJ
z6W9mn#lu)gIojL0MuJ-#g1nP8JnEQ3&qjplbSkezk=1eis9JyDKDC>6jh5|2PIcuq
zoy#sO)H_M2CPC;M8l$e-YqU%TpC3bG3jk{|Esf05)krMDCmQvQ{!Q4CjM;x>&y~b7
zNw(|r<T6PRlJwIJ)sDaLpYg2EOsrcxnrbTcob|R>5%_Q_teER^;r`;WbNrYy4?A3V
z9x<FBeH332C>ri$@6&QwSbyuHfQnyv!_+f~<8a~q;g8uwwc|VW)w)!BqgL1G=GjmN
zt45MB72CH?+&9;gvA87ddf!Ojk-ZNoRsX0r>Q`Aq=d>NU?w_WtR3hK`PMIXGzQe<A
zqv1ZRyBRUTU$vUw`c~6&ltGQb<oBffz50I*ASg%1+y5hu@g1=KyaaVar>^=sS&qlu
z7{@-+<7|pzzrNNUg}-74^>5*Z7)Os2$M*4b{kO+oGESU0?5A9~HspSW2KG>^81W;O
zO;aKZ1$H%%nr-)bNgOA=-gfKoXSlLD7@j;i9IUS3!-%6e>1A76+1i!YK_;h*qP@D>
zE{fBa3Ax(~O`r|O_?tmyuB!N)p(@fMZBJvUNX$At@}gCvqobpb^av;t$4K08cs6y8
z>J+OMd=Y;=A6qd3sOrOyQe{;yFlc%)o7&V0mYbAKl@6KTCLfXA-NT*qX%3?23c;S*
z9>lY7ad`M)?Zsr+Uq2k1t~zscizftg5WSnXD!1+Ye0NK0H*Pt7!d-pHJ&wEP!%u7*
zPNGfDXRjA&Q|2-ed&0dhb>Qv>ac<gJTtKq1dHTYq5nYuaCaMcYwP|3j{e&aOTx_hT
z$4+l<kl6$i)$OVT>mD&p0NVc+5Ai+lGF+x?U|RKcQV0~n%<1Z}Ntp_muwO;4^z|B)
zu#G95*YjNjyJcBkX{s~&!d26-OtEsD;9_e@El6R@gX&zkuozh;K~Ws}ns|aT#3+o!
ziOx3v*>k5O52|xsoNz&H!}L7iMv-e-CpvhmXhqCrO^KAbez3B-K3Yh);ZRBtE$#_n
zTP88krZ#cp<6_GiDaFw;_k2k~ZNo53(r!CGCOrNaCy-*2MB-EwVlu!1DV|^tYs#R{
zxW~wE)&8BjrGq&E9GdD##<)Co@1_8BL_5oOgg!~mQJcy9@E<b62k~upm*b%h=VaOq
zZPP3_JaJ*fIkz8th{V5Q6BftL#4;^`zigS7sDBqv2+OoA&Url!5knkv&aHaZ1UZXu
zi!knSN|WQ=mChL2rrqNXkA=sr*WBzV<=p%lJ^p%ImU)FGihj@cI7z~;n3g5*S4_(i
z_21)qf|%6*h?%e~)8d|}$1#af)&DalF^+}DEpFaEpZ^Q~AilM3?NzEwUi~}KRw};<
z;A`apr#f{N!7g8BLbx8H^Vnm-hWe=*G4<GE_{u1<=iA=qAv#P5@BJSL7mc^S-Mtxg
zKk)vVU+Y198}u@)y4GU}AU$~<#=FCTBRF>r;{1YLUF$D6#Bezm&ZSHEldeG=M{xc(
zKNAvm{F%SuTsRIf+|PY3KY4E7p3m@MoIqCpD#xmE0qbB(MiFy({lC8xX^yR@5py`k
z-zkU9G{T_%I7GG@p^wihv(mqgd0rrZW7vk51BCG~&Z*q7m9BJAD6J^CM|L9WabP^U
zKn5Nq`QXHURSw~(nrrSpk!z~wASS6!r<gN))JAN#F-DG-b6&J|^5ok3QZr(3*U(W+
zgq=<(m^#8E&N<&~jGJaF;`=j`Ew>yagm3M5xVuXf+cC`@rfPwxDLi%uUI7oz`G~ZS
z&2_HRlxmt6$gGZ~1$AAO)j{`ktSF<<!XaXqTB+Hz{JUs4w8~;%sRKGN{`3s0Y9<+z
z&N(y2<dF<aht2XF#pT!6PM%zQkz@=%Za9w7G(=J{np1jNWHmLDjLBqz?Cu`EI+9yB
z`dv!5ZCa@rqxN?Gy5p3b!C!~t@HBuPK{_MVO3#p2hPqN(84hZ6@%~&GtYmJil}>1H
z3aDD>`$Z`kA!DMGuHK6Ji>+o8JCZRM!SgtKC1bK985?q}Ka~)Yod0IQR4|5<!okiH
zWK2kR#*p6AJE7SJj(OtxEp+mq^R;yjmp+G6Sb<#_!SmonwE&JV$bqZXF!gTaInB>?
ze6AB&KD07MWR1uVr^Ee9Yfq6>D9YE8hnu!3zQpC+y(;aqd;Rb;krdd88TGF|1^tna
z-@LH;TL~e_a|Q!Kl7wKpJs6yEbTfo8*&#`9aS_*e33+yq5d0)#QyGQ*{#hxb3m8WJ
z^mq68E<u0PCrLucVDOxTkmSr@&~9V;xBnvv!NtX1LP&Cu<w%l0_Sy!W`IPkJbodbN
zgg0?e%;ilbDv43=j6qdab9zZX?%RT7)L<jkzMkWY8ap~V%ZED4Z5pTEx>x6L(kLp&
z&s9n%#eNlF_Z*{;Q6vQt(V$Gj8iMru?G7TYaIc}KH#Z2bAY!N8U%h=5eIHlJPi2gr
z?{sE-uHK0ml_OUOcO)Gr#`8anG5gM?AYP_!zgf$1u=LIg*lG9Qfk=AA>CFv7Ha1Te
zJ%aD-w>wxLp^(uUFMLG5;A@c-I6{u`O{ixWhQWxjQ4oeG(+}|*FA?Sgl{}yNg<<=&
zXmv$;Lci0I<tSyb2Me$2r@Q{*p1&ACu%xZg>zCC5Z~*2rGR6sP!T`>|v*8YS8GIi+
zQqAgX=o%z>b*`vOpg)>5R=RDd%Sv?@cS%&Nvs4Y^VO!^`n>NkzJ;&l<{ON>5VNE<5
z<_|&2vxBNE`o`F$L08+`+wE2Q`*8jh8=;U<J?i+_@X<eV9Q1v3ob%}W=r=C-h`x{L
zUs&A1$NK8-LXs@(e(@s0HQ@w>jOGwYfm=&0#MaW*yNJHjCvV<=i1DBEag49?5&hR;
z_|QWS`H23{arTqwPkme%3#QZN4(QicFyGk7@ppXTdN(f_13ItgUmy?SZ@{m>d*HM1
zTlfNeCB7K|GfKxtq=PvPrF6^L=cfDGj%^ynwvOUR$2!(pYuzpOmDahA;%GcuRXS0h
z+V_k7O6jDU(!KoXZqa$@Xi}=PPhSfoSGm^vMN(8Ri|TqaHqG+zvOQFnaMnBR{rkEc
zmepWb>cMcJhkE!Zufu-Y&9zo~Fuawgo>8j1Y1cf?dbgcdrWjIbt+O;s6=i5uU;7=i
zuaX#bU|U>xuH^*2Wi7^*>kG$@0#|yBdj@fBCvZ&Zp@E2&8L#-hVF!U1n}#3Q7LtXq
z;`siflF-1he8*WPcHkStwwr<q;kwL2KQL$z@W?d$U+?$(jwgbkN7_-R)eoI`)$i#N
zj!$SnZJ)6Ze}{&Y<Bt5U<B6a@c8%W*$rygo@O?B4L->{xcrJH@<NB=8bQqT&Gp$Bo
znlf-qMClp^{_AfQmTB36Z<w(c1h(P(E^}QWXt-q9e&85E)A9{Fa0ps1^*k<Eyks79
zq58{+i0AJm>RY9We*Nx~s@wWmUGD&JK##v)US`ub{@E@X*1xdhy5d6I|0W_n_L>d^
z0OtI=^Uo6le-nNc-UUy<=MYy%ec0H!K8fPK|LXYr-N~o2^N9=T;eS`)T)r32N3FHe
zxl|7IB=+0?a#B|KZZk?8)AySV+l?b?t+l8O8?MueWHaD_Zy1ufv1^AMErLjFx}2jQ
znNA`a9n*|s$Ly`RjfRw-G?0kcrI9C7;v|u2x;*l|Mng(3JZ`7@<AXtjYGFa)Qe~Ws
z*?xDB1mBuCX5^!3S|Xxu%w^MUxH9C)qQ`?~z%6qjG3_vRErKDZCK7^34C<Ip5}9VF
zAx`pQLr=;^!%bR9C|Wd(JxeJkGM(5r4Aa}AZFSvr;`qp&>R+?0?Uv8E-&%?uxhaf$
z9lUc?3QvRE0YXs&4|s`0-GOSV*L1FP4R=~p<timdjxN^9D$7${)xp3tkji0#uC1+A
zKzQ_jvv=Qr|NSdcIF1x6H*@Nc^`$ukd+0bq20;)dDt&Z~idY=h4X*)(jM~p7Py=a4
zwJi3_n4*+nC?z_STh^VU(dP|AIL>S|iZ+x^kGyapk^-km*Yuxx=~<k@Cfp4#MYr`-
zqYejqC<GGerNpK<)+J1@DU#_gtMLO3slawH`u#2z`&HE|(n9O5?(5m{gplMoN%{$C
zUK!5|gSc)G$RBvXNAv^eHZ!_sH{FFR?UT3etiPpxJQSV$J;#rqht7V5`idI_QW(U&
z4Sk<it1Yi1-el<>XDZqA%%^0GQ@97-48ICfwnWEB-K$&$*J-;WKnYVxwJwbF%u`o-
zFdPgU$4ACUQ&W*dUFosAt}xLNxz2NycQWt?_=|S?{EB_0@S7fKdgP&<);k;8ti3|W
z%HAlv`-azXj|YJ`wc~A4LMfq(lrDa}y+7;s`;OC>#BqrHa6CBMw!@S$dDTbsKN3py
zN5*IftKZGvbfPwM+if>Py#AFu2n6>I2qI!|z(rh@jMbmM6Wr5D|5VCrJ`H`x>DRMu
z-w!~cGye?f;IBgydaw_#f;YmC!@mF^4DF&;M_8?b-Z(O-#0fPR_ECCLRr<e_6SS@U
zLw-0>Yt41-(4!SiR9_|Ph^2~F)TTwDwd2h^qf|iz;Uye~>LL)sL0b5L%BnrBwbrR*
zyq04f9odXY3#7KedJ>UeM5D2~v~=v0kjGdf=Fg!nv#w*!NE~h_!~ZgfI|~a7u|UKX
z){MkntJOl&5*@{wk+_};&QIk@LRyUmlDzmxLP&C#hv>aAAtZUDhv@xMLP+vU9-{Zg
zgplNsyN`K>L2=BOl#DUPI3xd7>o0|7EWI+=fBMs(o~PYK!*Hr&$5wj|d2S?F^D?t+
z_mwec&F_1r&f2f+Q@6IZXoLj!BkndwdwYA#*@y&dD$g)zZ*e0(<_JOKc!jZ*+Q8<X
zxBQY;sNfuc%&*NqO)lf_!WnozK$uZmVSb*Q<+-LhXZ}d>4DkUFyiRLkaQLxYSFH&|
z#P^Ky2_<_;=P#=&t3331K+cCg4=xjNSuH)AdyW@>bSq~6Kd(N^GM~1vyw<vX>BeTb
zvXH(Rf1v&m{J#1}njS|XqgUPKhoNLf!w*A=1V77z(69SE2>n+y#2cFNDe4M0csmLi
zjUy?L?D_H2<Fhnacwv1n_UeDY9uXoOM^fPPB%;qeUn2U50ASCr%|A^p<L^QR&xIGk
zt6>a}0)!d0ZSyFGI@K0=f}YijwIz~Xu5yeNO^I}}bRZ*~K5v`VS)M9rlEsFb{0Lg^
zBK{3m>wjA|SzG-ZRaGs9&q8NVTEj1`okIV7C#Pnz@8J0Jc0J3#{_DT~qA@3)+}YWQ
zbhC`fU;C*XJvyDup!?KSAFp1XFg)_qH5|gNa0D-h````mL-1n&RjtY4J4utwI@?jL
z;~Z60ns?FZvQ9$<N~whJ)54*clo!X#iW*tgDm19xO$5~9`*PvwRV59+<q94~uWlj<
zUx`9S=Si|Lk&Iz*3^6F#3nMW5bE8AMu=d`KPrmU!nq61yudX8Q?w*T+A@@TrI?`xH
zga(lm=p=+O`Siu;^s~c@ot#2l=H83<zUSTrdvU)CSh3(b9>(8=67GhVz-!?mKu_f&
z@I>kTX)H;q6Z&0eQyQ|om_xm?vR=+{DgDh_#!j*NdyCVZogHCqH>@17X_>C;hu{53
z!2Pf|@$6UdX6g|x;Yp*3B)o2$ci%&uyzEi!=$VzF-|^RXyIsTU62FZN=?5II`eDE~
zb}aq|?Ux+rZ=unQh}mtE?`lMC`weAPr)GK`9h^c0J8&Dk5}+DXO3%7beRHeIl{gs2
zZl&6$Y7jYDXsQR@eoNc^|BD&wvg+%ys8an*hy9a1w!^Y-{rkWF`|_|nwA=fE;ng*D
z{C9rmciiZgd_?~z-A8>y|1C&^M*KMXBJ6kGg|oHxTV-R?*A_nYUGI9=L7H~UmMbt}
zP@kg4vl<Z>lSByAiyE?Ej%Eoz05LVYZ#(|%5GSyjt^{$Dc}8tH77^W()K&?l9hJzi
zT9uMLD!0#MRhefrw{m9{1XBH))Yp@Y$*Cm|H1m<fap-Zz8jLOai2h=83HQP{Cg|_;
z^WvUzI=c}L(;S>6k4#IGYum}GKIZWiT?)72+^Rk5tMU1G3;fqQgTD^dUsdS6iP198
zwM&9&=H@y}GiveZ43&~Ztzq+tTo*kJ0%kfD=<5VEay01(#t`{1+YEh$>v>*1cNvo%
z4Wd3H)Ew;0=Uug3z(jRNrT0mH>LZU+-Fu)<J%`>s6xqy`Tu)&<%gcVLY){!`2Edqq
z`}?q6DB(7Muq-q+rxO?`U{By6H2ut4?O9b}Jd6uH)M-9t2Jom>Xr(GijoZqq(8Ir{
zbf(-Zt4+owHz9T=FHNU?$yK%ELsP2D4oAO(pJZ&xB*xi+6(1Q6&^Pnyzq@kf$`$l5
zHbEcPHhi4?pCS19Znx<lCIHa&Xo!A>{tf*P#{2s=<2r$Up9<WyZYB>Q9Y5Sn*9Uyl
zL6)Q;b9GE-sncz@(yorEy`I#QrOp!gg%gSvvPx7Z6IEn2X?`}D?5CP_os{QH%vZyJ
z5Rz%M|K6Q+spIG=BcE5_)Az!__k5MKQWdZ)2^Yh~(DS`Ll1wE!Sjse5taLMU_$nK&
zYfvg4F>K2O*DJ?9cRkOyY!&kPCS$9S7uZ1{1ONao6%bB4Eg=Gb%HVG){`eCA-|Ffr
zW6gXXRNL}B&*gqx_FNFQ%}w*NH6gw&G)+73qPs)Hy{m*XZ}r2RKP)KyEdwykl|2{A
zcBPs$XJ=<ICe3^vBuC3jb`S{96&MOgOpa0eOAMy#iNB)sAy)X1x8Q)|I1=RZO@i_4
z>})fsR_qdh>y>j9gCSh+`eZ@><3iW8a9;alzKo+W-!KJvTO)iY{0`!rO>!%G2dn6m
z^xT+2Gfk+PAgKYJhg`JSI1td0^GQTVFy|mHLKx!Jn3Nd>;Fg@8QV&gjgVfQN?H`~i
z1z|Kh6UuVWvRYsWZ)W#1dYoe!ehp@wKA$Dax#`&`3?vzI?(O~#wk)eR?1K=zCq$16
z0V@VzF#q(b&sTj9a3o1RCkUK{!#(vGUrih*SbTm${eQJ5Bq_q+`PIe1amcIt^gDKV
z!3hGVHyK4yWT`6a*>+D?RBKH?F)`o;C(r?e8rs1qsf0DcFy$l|9L^;TrJ)i}gA@52
zxz5HcTAkbWc4hG8!-o%-t5r#=R?DxxnYzo4H2H1t@<a9FW#gA%&-f(@P^|(O)0#4K
zYbrV09J+S^wo@uP4qP-rvfugv6mpB+z3Z31{H3I0eAitV8=$WIx-EhEDug6d+Zw?T
zMyP>yBUz5z&|pB)r<XX;e4OSY!c>FlH|;z~53j>>p!6lApHwEm4$c`2b`ZHfk$AG6
ztL-Se-4x3^4tBBYl)qATT<l`U$-n2OD8M*~{6Muxrr(H^`pkf8JsdQ>%LZUsh0U_-
z0eEhCvtU{9KolKLEzDo@p8co#v{m^eDBM}v+OY?=PtCCShJziKE1ITo*TEkT{+*&Q
zO;IeA%R*H}xm-XpGPk}4|HhZMu0yw?b%lnh7nAT8GR{%mWGQJT30WJ?JRQkgT}Wp6
zk4lD0i25~KXW%#s^QQ}i)AI|C15CHSX7rHx7qrW=nTJmM{{!i3lC(xl(`z3%uxIZK
z=QDfv95~SSOp~m=qNQFzOYWG3T{fEJ9LlGfa}9b0LXaIS3@-Ts<pPPBi+6H5LFngC
z_jOVrPu>5qZpZJ`%*g?WJXqo4@7@E`%C!QFgBF1#T)__-Ye2B|B{|E4-e}yT=2O;`
z?|KWtd3uz~StcMhLUKz?3rceYCcA`b<#MC(D2gJgzrzn2hG2v^%A;9ytty6>{8k7v
z;c{7az0{rd=^8n|D}u}CREtv=fGZ+}J>xJIsJ;uA5W~WH2T<tmQVYsO+u3Q^`|&d&
zWW(2?H>bXZ>}NZgI3a>QZdw?2YK6^uT{xU6vRtnEAWvbcScF0|>%O#~fC^vmt+KX8
za1ll*Lzkg*=qaWyd_RZZ5@$53?Idj`$^=o!KZmynqkyj8hTric8|P^zDoN_lH5-`P
zYdoZVN1{kIOK~<v^e<~2OH+)uZ$EQp`*sXbu9Y73XSSK*d-T@>Qve7vxcwF6z!(5y
z@M<anacmikMqmmM3B|Jx#!k<{ej)>hyw62-vAn!?X8ZPsYV^{aAjL!w>-BSU!S8}F
zgZ>*$EL!UK`wW2Hcm+5GTP6;!V-RMDJ!_T;>^K-ZRus-E3g&gL`uB@lKs(VHbUl^{
z!^gQT**dKxZ6>u|qM8sX96n51VZUz>r%8Qnois`PFfNc!5z1SU^#;8eIB4liJthj{
zR~Lj9<14Sc@@7+Ix&_72XheU}n|!IlCf@jE&V2Wo^GmqSbc@kfc>o?Sy>KF+%+lFt
zIOG*2d)gCue6h5zkKaL;qies6c2bomp?&td4gdhNn2VD%;~L+uk^nBNJ8`F}G;Jn(
zdUP#a%peI9H66tLc`L6{RgF6KXPK6toXX{=RCU@i{T0m`f56hhW%$!~zx&<aw_QzB
zRloO5^*nR@%<Z?|F57lZRc!&X-lF~X;{c$Xe+!`{fKmxSYcv|y7{<ix*u3w)``(}c
zz~gz5uUUuEsZ*z_g@OWV9sH|H&~9{6S`y^64^7f;r<rxLTB;I+dQ$a0(oG`SZzAhv
zS=PT~{GS<wfxqL2?rP?84Z!;q!tD|mqCWncW?>twj{gv5$A2ghLWw~&-T7DBG&L@M
zv#E05W>0IK&T+!~`{8J3zB#+N)J||~Zv6Ux`Imq3!(*LJR4G}O36wg8JzsBD&IHFP
zp6CDOrRV^<65WVU647nvk-%3;Qsz(Du;oP_|KVnmq;dJP)Y5L2q;Zz??4AbuzW5mz
zL!~l5o%1mi^Iq*VTcs%viTEzhgvtK-N(Hd{$5ndReE)K@2{;c&Z1Sbv|ITr_yo&il
z@owzSS1O=0HedJh@l>%0cp?g-dKdt%S6_fiW!}Z5nQcR8Hkb1l#5+bztw5arA|69;
zL+?e}FRW3-p+I;{Zck1c3v%HT@e&QF;<>W}<rvq5WUAOW>x4KhIJsE`;;`8eX%`z{
zT8gR_EiZOP%Ns_MzI}DxG>p7PscvwcmZPe4kALE*tmy{Vb^T)r`)MqB>RP25N$bGP
z=sJ9W)2~L-=7e9fY<yu9-?Phbv45?e;xIZDSz2*DDr&5M9GfHwyLmxPk0hak*2x3v
zwQIi$-j6M_$acF;g8pCW1{?Qlbl}PH7QlGR433^#W!pfQUMn#2V3-lSlGET@14~DL
zQw2kKM9u#Gd*Az>aaVOdOy*1z+i}SNMzN*V!{{aS17$Pn#Bg>iZwQ6~6OM6}kf8>q
zXGt>>?uM=T2u5MJllY<HM|4T-LamrDtL3DeA_)C8w~qph!@wsm?W;RFEg1pEfl;Em
zqcemWeh^*(-jaW!D1J6kRFT1`Wh?X1>!IgvbO@pL*Vt|J;H$GE(dIUfo6!4s6qJfJ
zRBJ61^>UUetgjL6>e~b(7@^zI1L%ziWl5L>VK*ab%$w!eh%lo&JW#kyNh@vff^sT+
z8YQLmR_YPd{M1TS5%k((mJc!+hDmr{&d<7`l9BA}y>!ydet&s+xv;QMI4H%v-)^m?
zfgwBv$|f<*eBLyPSq5eHJ_D08nZ2deYUw&-H~vY-KW(*IjOqHGKm7Q|KW<@c{g7zS
zSzQPIy2)3$X&+HNVSr>2q5`OdSP#BfJ>m$y%FVBD#D$#TIfK_9SZks6fD#*`I^FpW
z^Z<Gv`VEBKFbV5m$_v#Pz7sp$cDQC#bJbQ`tcW8&&8(F!&bhnIH5!MxH3hOpN}BU~
zb(K<vbTTp^gm~DVq)ig~og-6iw;6D7GrqL%U0z;hGUH~=*Fc_c!~wdHbg;0nP{`yN
zZ$+eOrm1NfH7$)2Vp)Vx%`&O>GMJGTU>s=3(Ko_}KK}8K*SYar;AqF>je;S(=QQ#|
z3u9~iT2OxM@|_392DRlhO^Zw~nYMzSmf>rNa1Z)u8$yj7OXSQt{gcCnkd{hPIHtlh
zhGa{1fz5qhHw^u@Cw2Msu%PehQ|>MI*#AhUK0)d2Z=P@HLrQOdS~J4gE)B+ep_5<a
zBvlEa%vWI}KHK_a+a(6e3Vy`++&*FoU4@XFQN;Z~G0PcrZK;A}r#Uc*SG&miBYwl2
zpX-L94_wsf@P@O*VRi7u{fGe^QT0jspVRO~N(U;4)gwRLm+B9XtgJB@KfiMdF%W_x
z&tm&h|G8#H>q>ME-JA~@t87S+SAr$Is5&&B+F<A{3KeRuNZN5bOye{gQ{UHCui3<^
z(cae0a=vy=HOTEqt!?bV<*qq|d%a#1U31@k_Zb_8rcLzgHO2WVU6%B1ic1U4|Mg!#
ze!Le&*wFJp4@PJgI)qN4bLftoV?o5w1PR5*JLbT493>nmMrcAyUD!$6VaM+XjQKOr
zv{7_?*9}4G5sNX-or9aXs8x+Xm^m-!X(6Q|YPEX4@@%iw>P3#Tj>1cOMT}VwO$YZm
zoGaiBhp5`B<nv~!(W*x2OSM7&FG;zo_4==pgT=lE)yLtp=mL6BTTnu!US@RF^LI{i
zoID-WfQErEc<?u_>9UTl!MS1Fj(s^C6B{g?espvk1OQ&n6qVu}%N<mQbH*&)TBi$x
zIDE$X`uava@fB{P3fdD(dbyl5N@hM^`Sh0AlXK_3VEQ48v1s(Ozu&8?yJ30&BQ&Ek
ztdeA1N!<}C%@cKG7H?g-TviItGfl(uPgy!szfLWQQw<h21f`?D`J2BfU`=C+@*2ow
z>G<!3rg2&NT3WB$9*uX<!Q4HL=$ov&Yi6Caebk`tVf>A2s&QP))q^rzTf3Ha(%Knb
zL7*G4T+?W`OEnGZf@`KS-o$Z9*aeLaiA@ZBNtb1HW=54|{UueeQ9-E`4M0j&x*tLk
z>TPY}9t=?f9m+_qlFUHogf29X#s;K0T4e~dS6|9lc(DorF3HkvI|zLxgY%F_Nb28G
zL?LM=B)@$@=Z|z<KMFF`VKDVK3Xkf%{!pF&6PU+!kaB*d;(N9&gcmQS6FEuIVGGTF
zCU~@3t%Bne0ay)C><_AH731nlCV;L;Ip6n$ux+mnP|r!AAMee?@%>svTO+suMrb=a
z<mGQh0%y;3^V8#wx&^gEQ^fE1{)TA2&ObOi2QW9=%DnuA35J1CZZI#O_n5&c0n8>A
zdeg-MK%qE&-Ru$@?WMzqm)b^L_7&2K)ZmO^teNB&szm@ZW^h{6;`6`w#V=UBHa}mh
zGtB+@HZg)Bicp4*qx0yYT<nUSf^mFqBEtY2bQ@A0oCf7NEM?tx=6C$k&)s4e_;&y$
z(tzq`bG%*;MQzxG!7V@4$ag>jNk}BJ6JMmQCqY;bZRAJ2>pVeeZ#Zmyq!DuX&4>Gf
z(msijQy|HX_UdiTH+}K=EDp`;EMYrtmr|O0`kXA)Q`X;PJCKeN6RW@1+hb9{NUIy4
zLg~v@`B4w=yqPvp4mDc31mbq8etSF3(k!j#ab934A!$3A8O11{@fSUBtkh~XzkNAa
z2S%q)pN2=z!K0GY6Bq9L>A7>~ir)C&6&(juc=RBQ#t5S^YAyC3!lUr$px5h#_JsjF
z3Xc-Xrr^=x=Cz;O)H-X8V2IvpC32rg=);6Z)EM7Es0ecqZ--;3vt0VEfgd=Gm~&>B
z25mQVI$O%RZM=?RO8krQIYLI4kW@|TNwYHtE-POD5G6lx^99=m>SDkcuvE1irC{6O
zfTDl{wp~yhE5aB92JGly+l7JystWi02@H|*p`DLPRhs>+fL#i<UC6tjssL|WFaE4}
zd#Y7wYrQpR-VgYpSNs}A@J-Z4JJ33M5FrI!qmCHpC*pBLJh2^iQ=dmzCUxIsA(;j|
zN;xcm?c8`@(NC49Gi|1wcBB9^q9mrpd`;8VxG+Enb}TTAEcas!BY=rU*J7YPc;jE(
z<;EvXqR>^s7+IwXF(<)siXW$*o6mH=RNnRI$GeRQm;|!&IxXKZ9&>Je|K4bv;yQAH
zF%B_^U<d@4vQ=+d-3d0}-A}=8RyrJZZ9gX03?pb(Lsfc~VsWZf%iCI0#bU+VOO>JM
z(sej9H7A#MJ(@H~rAfV9WHMDO!lBxF>>(%?r<PY#ZKzoYzXRCizg-01L`!HVx(VHh
z?nMY*1mZ}k8a9qg(sS67I?-W(H0_Rl-K#3J3Xb_4VbK7q+n6{X&v2ZgbrRa|)=Y_3
zseux!)n6S}EBA|m7l}Cu6OHbvwY}&#aOT>}?s(S2-~ayi>o;6jAOFMSC_el?NJ7!p
zi*O@+16_%(SGozPV3W#iA@o@TC7vCHWTc5^(u#A-WleLNNk&LUYWZb_8Oef>q|IbY
zBB~*nF0;K;)8IH&r|^&=1X<ul7ZZlDM!CT(r)%m2FarQ{`B#w(p`M$cpZCCZDs<=0
zou=4j8t{z4m@E<1m^0h$gR_lh;ZW(+k|LF+o71FBB?hkogp;2DX9lMLI~G4^OU8v;
zzx1UqRVN$eiv4&0`Jev@@_$QepLJ}swFw`AAv($67R@DzFv99&NRI0Xu$@`N$D^*g
z{8(Hkm`38K{sm1+n9bd@y1^ViLEm{szs=Lkd@<N3s?NEg5eYLrC_1*r1*J2E0?5LB
zolQ~zT{jGxiD<s8KJ~Foh=dvEhNhZ?P%1Kd%4;Tze$$`Cz4Bc;5+1tY>02V+C~nCm
zYKm>!wbV{)O16!Q?11qiYL{aN*hPO}$hZfiaSui?61};5(=&a*n<n}1V|(LGh{l@`
z#rjAKbV(QOLuU~JY|e}5RsGb)fTcjuZ}P7tm-VqrNi&w%ln%b<?4_<bzT*7W%dtfB
z+(t$71*N-18fq?ogl##2<}2foz#0s=dTI+CYgZH2^tIPWlN1ye+$s!hz)6G<;VcdR
zZDgYvw2V%oJJEwNwF=3IUo?aTg>VYw_!Vl$sJD>A4hI2N@bPupb3-}kDl+r}>qHI1
zH}rZvA}RVnS0vJ7?11B^e99BXgFdxKuc0*+PeisJw=XCi6&9k*#;qO39^{(}FZ6mn
zqEpay($n?VIGaAn$6n-7Fu%OiDk}`OZ~XJR{s_c5F#mInBqfxgoIEa)YDJMR+}=r(
zw3#U`2|xunUQ8|6(rt$jdpZRFLm;y}T+B1wyklpQfFt3a@kLXIUr%Z^&vm_8Etz_4
z+jX6>MuRb3pP2Zp!1GA~-xc?9V_{*>)C7i>Zk^b4!{2e;dcE1K*IoB#mpj&hUyj{A
zJAffNaIJ-r&p`N9FZLoHvN@Qg(efp*y^;%gc1NQyxi&|AxvHKT^JZXZSw%h7+MTYJ
za#}ItKk$zh*=PzOrB;J<MmuRO&1TB2)oPZg2^<Ad4Qd;W2QV1J9~#R{=X$<Q+aPjX
z-AcirWR5?%xf%7^x+I@BxEV2MmgW!Rqds3Sgp4}%l(l4PO;CE;q8^waXxGN(;Jj>o
zNy*U+0}0}IatUfsq#ac|dj1hwK?l*=HfKUoWb1ge1oEdGELQ@zIz(<CUnMFTK`P0?
z**QF+TF=S+E|}gysfh5Dw%$3K%hwYD!hhawqrG%kP<oE$sID7apJK6~^!0GcvR|A#
zcdnk#Q7#CuwALPU99=WU#i&YrEYH#GBhCjM8Fkk3Z7$&$Pcu$C1e+&de{P)AYPBGg
zd}wwvY`G@v-(S0KQ7TPJlv@29DO_-cP>WSV5B9z6Z~gwcbLXtve60LC48{W(Xrs`r
z3Oo_@dUYrj>w;2X+!~q&hwy@~+ec|gsaO+~YQN}hS1tyBD+uK=>KC;wUbBIUsE=NQ
zo<Insnu;WpIzqZ}dl#t|iCQPFpM81~RMI^;f~)G20@lD-2y2_W=%y%&2s7x7`M22i
z!y2Wc=r7&(8)>&YbzTVD?l4B_wL;kTwTw}EuMoC<Z~3t>-I!{4p1^l)(-?`U@jd|;
zd%Y~Ap(cPyTCJ8r341-NFT}${mYL`Bm3aS5V<IdQlAO0~Av%;YcCBp-aV@2c-D}%I
z+*^Lz<97y7nVxRl2<GJd+u;Y)Xfg7RYl-s9ekCSR2OUxboK(_)7>qExx!(p0mH_|k
zf`E?!#9=cDqu#HlkWoTeHf6wVf2oVe)Uf^3F(~ljQ~$XheQs^cq+A;~8wf%et)dcv
zV^)OEC7d2#M?Pw5hw%7Grl(3jx-1A{x?n=D)#l%!4!YB(t&(sp?|Sro72kRv_1wH>
zNDiRLYEWp@W@jrEa;xa*^iTvoIKTLS&ZmYkUoJd=kD$W{DV%uxqD(EdXUTi<x+H@u
zhijQIIQwJ+D?t)8w~bFSZrhs=MHnyh{D<HIH8|4&=sO=;o~3sg{j5Cn&hdptxj{#>
z>U#q9!TH-YI=6M(i{Uj~55nWHt(i2FIMa#ExIXqCP;&P;7UE+SciV;~8-h|z)3mPR
zGSj7!E)mTzm@cunJ8_nnH;-YW(M50t&|PRRV5n3VG0)K&z=(NQO1*eu-e9^U5hCWw
zx|<W%16;q%mi>+01E`?qI$!7L_WAi-stueBU^p(8$MK8F*fA1sF4lTg@m}fJGgy6_
zQ--QaGUG-l$Y0-la*n<Kq`TyMn9R6gsH#Ms+p_xmlNtT>$B$Ln-u^V$mwMXF!M-+b
z_N%#3pE*xZ3WcJw-Pm-oP>xUq_50Lm%0ZYjU#qk6-xMr>606td=Sq|Uxs>}Lga<G{
zvuGDuL)UUrDhQC!N*w!7IJb1DZkx*x!AcT~)U=whl!V4@+=;L?8zdvqHN{o8jjXm-
zoHmniASp}}Y0M#}|4xD4biI);(=$2C1jyy5?(FQ}-??)tp93(h+-km@Yu2Z~S}vFK
zrU_&cVt9ACT#jLq00=Wb{y3PMCfpdaHa91ifN6m_G~xBPcM#?+Fs<B`(@~@sV}N>*
zMbY$?Im-kqACCWy5JFrxe<gv|fes;rbPlwDT$y)W@;FCKdSEBXnDOn_i!gw1jLs9l
zSdwN^|F=vXcSmwYi@vV2_^V)Rq?{u!D1&)fQMtjHQl}(pRdUomFC`XhFI(*BK=TBp
z6RPT14HuL`sXXJtyA93;#hkug)oQSSSyQmEm%OF=%ukoxbB6_#iua$#LU=DTbJdE{
z^-rNkxpN-HXbxp)54sH9l9%Sj7ibrB%@XH)hI*W8r#3rjTT!VZc4ng;w_y^WLrXMf
zoS3?%mcw$plzibNNbB)fIl6Zv>O~`>{-3C4v==rd9`(!U+&{QpZ^K4qygm+Jt-opJ
zk2_9rLJwC&k5%gp*QbYT?_Zyjs9bs`z&LohU9YF$On6@PWqz{$)3GI{_n{-`a?X0s
z#6JLn6!Z<eKC6<rbyZ0cf&PmKUn7D5`k_tE-%x%X+urg8(=^TdS5{V5;GK@5g(GuG
z=!)Jrn#cY1($Npb{~83n)2DITzktCQ!m*@}dUzh~LD%^=N&=Q4bWBr79b>)`OuVHT
zhm;Npo7QTJ99iPefvL<~s_%tvd)_k)!|(_(4jjDm&VvUGLOg>5@bYN!7~s|)Mz9R>
zutunP@TQv%T9nWO8e>}FDq_IUFud^xJj1}MX<}@eDmDxc&X>l6wcRMCf_=dd92)=z
zHiU5%rL{*{T~NPtZU^l_$NW68cDngY9na1wZH`(sLE3R!tYV<k1HqOGO8eVqX1H`7
z9a!QsGusD$^1=%*^rKvkz3{>dFR)xL>N}~Xe;+>Qa{Y0DuDBdez@P`VQ|gr*8+vgS
z^sP_*1Uie(qdWJcBm4AdyPc(EA89<UHs2$0+R2yN(n;HUiYo*YbJmuorb4%r^5|*)
z!QF6bYH9t&4}IuEYYWv6z4X#c055&0y0G@4U1u+xuSC;}_)hkqP|)RajH+vxDHNa|
zLA9r8niln|5b<e9!?0|R8nq&P(wMxUf9|1@dYq&rt;e4{Mz86V5bXK}N{$Vm5k%EK
zxuSxRXT0o_no7iH;Kq#RYuS50wYO=CjJK`LDB83EQIx~{TGqB<S<$xH^!~lNC+$Nt
zgI3VhR;z^Gh2rH7hZ5pIm378&DK-X2^Oq*VLllDY5(H{%BTB`Z3ij?{m@LVP!VS*U
zW!q`0*J`zbCv7c2Yinz2&s(Bui}S4#ttzdSw{abKa%$&XTz3WrXR53y{4LGo*l=?c
z@u>{^>#0{G==X@hP*6JLL@6ANxIOWKY*W_?SGq63+m06niii6~T5EC<x&H=>U9TzM
ze+!lJ@tc1M58xuw6sh`=s~yvqrb)3IcwrJOqifa|=>|9yFu*tLX6u-$rJaT*jg^vP
zl#*yk6h>o&Wg|c#IkwtMdb6g+BUp`D#?OV_l=f5U4S}>MyE@k=n^(^cZ)<)0<2C!b
zKRV4zi*MGAcX~kY_yU;p%8qF!c1SW(<9Br<`4lNahZ^x~fCHGS(i!R8Uq>V;t-|XZ
z$AQQpxfgQ;KtX#{1R7f%)}xD)<ISm17fBd@Z=e-ULA1KMy1E(ygpQD7Z=i{b(b&_;
z0EXFV;<rL%0^^7WOVIm}k2KZ}!VzVprt)NT@nFf@u#|P%eL?B{24}LQs>YL3H`ZI4
zn2<rI!l0Vk?OxUwl!nXZre2jNbvt!QRSknPIVu0R(f32W-q8%I0o8?eS-XuX70;2y
z`&i{Q>Q(~I1>NIACtY;80&7u?sp*iB<J@-RH2y%NJ$7OVv4Zo#bw?v>dxr4&EURa2
zTD_5V&m8xLbNP3vBX{)y(zs{MdxYoi9#*4B$cTobERHkqy1qQJ*U@ji=bn2^0P`L_
zds4V}V*T`g@^utiLHp26=<!%qcV9u30;tnOQvEc)VY0oL!F(Dv|LYt`Mv^p3LuDlo
zB_*)T?fp};*;JIKz>0#!)Gl8WA{L%&!XqEoK7Jg&c-w8a<!;N3V@+H3B~6q3ZG>!l
zJ@qp5=bZH2LahEpG!>;e9-6Le#zMd&rt67Vi1FjF{1~P66+J~wTlTlmyToyiB=Bv-
z(3^CvN!A@xRK=R;TxKql_9o71i-L=5Ox{IF+taUJl)!%rVcTbJyr^$;#>!>As#F<g
ztW?q~O2imvrILPt+5b`w@N&|uFiKf{wrZ4{Ntsj1>$4HBOy88I%?n}M+oP(ktq5V;
z^9o_`UfUMp%-g#`P|C|mv&<^fHAX3`G?Uk8e=flO2Y9K(IAb+A;-wN}{O6x2m;cO~
zI&a%T>>#vOTX~t9*HoToIs{&VZy}D3p<6LUCoHN-RjUSzVDmT}ZXO~YHW^UfVfjF%
zs+pyUBw~wDkT@nJ1+^_`Lr>&&>K>|1aZ;}|)ttRLP-LrlV<-%%`~)GUq})Mc%*QVl
z&&}<(&1`yZ6zT!k2z|afhb5(|Vaymev})0rVPW9TfNh0u6@*BV&WwjD^|2ypnCnOE
zdgCt-hK(_;^d|O-Onj4~bQ^@J5g}S@@Ii#v;~=u-i@kz}#R6K`JDCu=jzQB5t$=?t
zp;(+6I(Q0-#i=k_BnBt*g8S_dh7ApdD&2E+9fMM=_Go&Ti@d$tJsBmH$Oz9oaM~W#
zW}%=0LL9{(56V#iO`=2S3UmW{C3+aW8NC;M41IPSnM{ya2`K?*6@*r!f=N+)`EE;^
zNw%&+yyD|a+BjQhW(O8-yNClTz&FNnmNj_-4mLioe_7KQe3xk&l*=tp3qLEU&?=W<
z^A3lt0Qd1ve_g%&c;2V;K%u`NLT4nLA~v3~|8DROrfHhSx>HlGC}3O=?$lKGl=&wA
zD$&5T_Dj|J!AEaZwnos`OVMjtwhqH0k(!CyrLOr(Hw&iNHmqs`c10AM{xAal5<jte
zYBj*h)10{0mE4@Ff{Ag_^Axon_&}+!CeKlEBnM#BXv`l!Msk_Po?yirxFI1R*-o)W
z3i*l1F_0(vU~cd^f93YT*U=rCi5L-quieS^VtY{|M?5#lQ{(0E<(~9OFJ(#E)=_M6
zW?NWCZYIjvjMJ*WWjV8RHH-mUHsb)1h~i!cFs$2*b7tp4<Wa6{%97<F=K*?=#hqG_
zsoIdb&G(>ZynzU*s~PR?P1%+b<i595RsG5xgi?MV=a)BMgI&s&=l*ho3Dg|E#Oa|^
zoNDA+ZtO!c&9JZk!tH^tqXeDUQd`?5hT~%&p@-NPWMLo<L-gEC+b#;0bH<xsM&=*}
z`PO8Xy`b$bUAqI`HR9PJrz5{N#^uGdT#X!=<3F1eVISZeD{iK4)N8Y>t-je>3J0zg
zH{F9$#3o~{q~&eY^T5>VhkW`5t`nc2z`2il;P;iSMx`?1yDr<qO1VbD00C2hpQ;5X
zWS6X$6gMemlx~r}EWZmu0n1$(Aqh!aBfJy7flL&kB|9c@(*TK>Y9=-r?akC<`Lj|p
ztEF@&B%}NXQvwKdMm7~$);CR<WdP=YDzZEv?E8{~14oj1y*4}k?rg2jWw^*>iH=8_
zM!|&M<r3dCLDRHNT^j$MElIXHozDa0^V256TjQ;-fCS${51{uT<Q{#OeF?6muIr&K
z_u8#cC9Tv`N2`Wu#-%!o@I)S}&3N=m${mQ>W6F-FX*<H}tRHmi$z~QdpVb74SOkPm
z#68F!$?+#OQxNa-|1{JsTkFm)FpxO+0P32|4cGR3N1AdqkT7=rDP5SREMsgiF3XB)
zNHPFm;Wz?1vkOeobvsWKUH5F?ckq-)B?*oLO!*W`fSq8{rbNRM#xaM!tuYlO8Dy0h
z24k`$$v_>y3zb~X0Pv;(%DIp;jVQnjRgr~Bse)xi!2q(N8V2JsU{F*QQ^#E@=L5rU
zmJ4}dXqw6mqAJE805eoY=7Lg1k`+}|%}|pNQW4tP#0Z9{fx2iHI)bi7HzDNuy0GYA
z*Y$PMI5UTCB6prM=o1a9oT$W46xAe~pcYE`j+2XFmWG3%p`!fUB_J;>99YhM=iIKq
z#y~?~t@R-eR(rm#c(Q{B+0<!8d9VrcBY>}Y(y}ba<Ztk1W|p<VF;xChMaO~tb94Af
zO3=7tU#&9%UJVt`*Fp9|r5;Ogu(!~2oU0U-s1r~f(Q8|kGKg*GkOs}Uee@ReD?Nlv
z%hSFgni8;c$@z<clyQxgdeZD{du<#i>gyQs?k9!Cx(qf1rLL{VRB>h9vT$fxP+O{d
zE<g~7`o}^y7Y@w+q3!uX0FIXGo(F+HVG7kL)@%ESQsKy23>VkRWm!=)FwHPFeNiqq
z<fL5Y{x~(|s)iY4%zTT15WbvqX0lu{0u8s7^JtYUM2}>Y<85@DhmKYXxzs&zNHNyg
zTIn>_#i3n@Xo-jDs0t=EE%|J)9z`Dy8NvgL+>!C{SG_-as^0YtFUrGWkdd*yE9j2#
z6x|sY1~J722uJDWFv>H{^}?5&<4YaC6N`Te$*t#W*-hJrA`UH#fT*o1`Ml4~+ltB#
z+V(-FD)#(yJ(Scbm-SA8Az^Z8OFY&GzS1FrB?C@9tvEs8C{OEp?*u~dgF+nSLIiN4
zdi?9q+d{ow&$MlG)6PZ50n@h4o@!aD+-rA?VTd$TN2d{LATW;9e05N_1ZYyTQo*@*
zP4%6jAkl?bWmMEgi(os8@EauMLL0++7(lbAz6MP&*P>pp*X!L-86<5B!n##7XIduo
z?)4M$aZ|?bE&q0bj^Amw{WNY{)knUG7U}ev4BLk(Z&&vNYgwqn2JiDZj(Z!{aC6PP
zu|q*v-;l+FbI5Xczup>vdVg&I=G_q!+RM$D-|YxSsDMuEz0Z3SdN)GK>Kx1xSYy!o
zd_fQ<Ntm!=P;u<l$7IBp!okP|hHKDjsU{if4DlM&{sW;zW0zzam35Mdgx^RQ5I_f4
zRwnB8iItUu&wi&YBuS#{mM{z=6GgFNNm97$GDT7h!X%YQx=b8Ox#1fuFH3uZARw~D
zDwNDHz%2320+^QPtb>~HMNQLWAyiE=gz806#F(x>cx^qX)pzXNw{Pc;dJUfc*8hrO
z7_uxYs$!^?WokB-hyW0(0$4X?QeZS>rr@ScER25?hM`6&NUq9snaJk&FVtTS_J&+8
zCsfJE2~`$rQ55MqWA9yDx_|T9Xgj(dJuuMi=+BY65hci&AgStu6cZ-l+5EJdL3+g=
zEH-$Mhl8+_CSG@$;<TBTj0f&zB<0*WJxl?5Y{nbuK~Pxd{CD7q>#x6lIT`;#!8u1w
zN&2|&?ndXy_e~XxplSRGu4&jJE{<2@0bwqyr+o*Y$5gyp4}eJ@8lOCJ<j8$$^HQ$A
zUn9c!I(FC8x4+`Ap;(-fxu$6vm*aJE<Ob))Xc`@mAH{8&8ho%rUKoTH;XtT7&M=e}
z5UMYFy-=^v(qdR2Qg^??kWw*No`}Ko>WX4X@e~Jx!C=s`J=kJ_Ny{m!j>d`M13_tG
z&Cl(cYcz5_|0%+tHyHGd4@%dLqD``p%R>+R1@E*29Y=Q~<ko66AWH_|W57-{3#~w7
zY#OIno#UOfV=-@HM#LoXJ3hRO+k7ULl4jh9NO^5<_~7^^_+WKmp=wec((^WtsZ6)v
znqIF5=4m!?9auG==`j&X?gFR^P{q1#f_v&$0ekjG!%vIXqJc%JXtkhCNG#3EnL`6X
z=_*Qi(6r8c>=1nleSxcZuAc^B#*xsf-zKcL^Ic!Q1RMdG9E^4;YA;xZJM2SDcNFuN
z8uA)pnoWUxG#pvC5hLY2aJuSYYPjl0mZN~;%*cuPjaUnDjtODg%R<;T%aznRn{7y4
zE#;VP3$g5haxynDZ#gpW@UDdx16{etIbL{fw+^4}fy4_JS@;f9&tAA_7n44^(mLK7
zJ9AmTmEO$K7;t@PE;j@(SkR}@+xt}l=|zaHmf(0fLqT5<8YDr*KhBm3V9Nvj%g0Q7
z7(Z+)CGn@Dc0JtwfB*M?7^+GNaG+WkZcp`aB|dD{I{CFwJ37AYTi^N?rMp&TfgOx-
z=WF1g^XO6ZPK3bIuySU97L^2{`kt&HoyuYHn~X`d_9Bj&Z|+l5mKYSCyoaEA`#Z_v
zlVedS0yM;!KZWCXso^OUNF5n;8&W6KZg(YkZf^hD8s~M_RZ~ADgPB43tvIghtBg(R
zI%DOXjG>E<t(BG_vZ_lZj?(-~P%KWVq-d!PREQc#%vip$rbU=KiCk%hu~l84WK7pf
zJ9OQa#jAtA6rMou{?el>ce5QWm|SN7{iD&%Dx&MJ6b}ZnIu2BhSO3GN<BM~!l652-
zU@~d-npsh}Km3?~q&CjTNJgeLnYNtH@kclyHFL`C6BAaFf4MTI>y>nh&o>(9#I*$L
zD!B#S&vm-P-c>pslrG;$vGc2{Rjj2cP19PR*6_ljYn6tsX~V9;rHt#=TayVM+}!&S
z3WIivSYtaBPEa8ZniRa4Esc>92jaMzTtvw;rFPr~M8?8b*(%L>Qa22}PvqDsg~V!q
ziu5S-Ge|Tx>fI>q^{QtCdQVNZ=LDtG_k5_{GkuUA`@idu6_o-)QrI5vh5?MwmFPUW
z2fZFWhftW2teAeeI_XkYM5LagUF0J!r4!S37%0?(9%oH=?7jVd={+JKcC=Il^{LRy
zz*3i5Z}7PHmnntOtl!`B^PRrODg@<y2BnbUP2~pAQ)^zMCSp=Ad(WVq=s3C_y%If!
zK4~MTxS$UG;PXYvn^|NdtT<l836Bm=#yPp1<oe9AxZw|5CY?YqosL`XHi*Cwp1X8%
zCmQEirsP6h_hgPFcr@1IGr)|jEuZ@0lJUpa*48LptCDKro}#VZQ|JLPpeE`KNSAok
zrvr=-#-b=X*cLF?&R1C9_UTy3kJi>s9j(2O^3@*Y8%G7n@kd-{FO1MMx&hsX-iA=a
z)$58nPSXp6wuu9WaKpxOOjVQqV6h8t0)?IV&7?_^xXl<On3MK)Hw@Yx<!D3<j-;uG
zt`c_aRQZyFH*+hTcxF2G-JoO;B1w!HO@DSVtx`g0HC>$Zng&x**vBXZt{+cN$F6hP
z#zu+npy{4%`@UPQI19YuMy2ffzHR$d>r*OzSUqmV{d)aSP<k*AIA@p+kr*=!LL}YH
zgJj9FEL#%fO<f|yFc_1FBX|x&o^$(?AzxOoVwk|aO`rNZ{v~)EKo|;Ez8rHL>S5~*
z=$XjT#KBFU7Zw$Jl$vZWX5ILdgiE#3p-#B6WGmF+%A=qF$ZzhXqN;ugE~^!6&$G*w
zPl>83t{GEnjl42Gyn}DLRi^>SLtpBhqg==3xgWTkdmabVP%zecAMNsV-RY;z&pxN)
zt2wX0T@XSHp{=jrgSxkRpJn5vZb$c{*Q0l!51~)mz+k*j=_Sq#Fc2$@iy}$z{9^b~
z^A+0r_14JhALKrbLb8>m`qlP#ho0znW&m;{7I63OB@|jrhTd9Pi(>~%K7XWekxelG
z7tiLOz(6>M(eG4V?Yr#@+$Jbp%j@H+_=ohfdb{<u_C4d(`ujO{V2HzX`EGPOLXBFj
zw*GY#E(%#BYo51>;Nqg5HDct+o|CMMsyISPM6nobS{#LQNHkTM{!#+rxu$Ma@V@wU
z&y#i<#M)hz^)SDwr5lEhe5bbbtr5OYmZB3cl*wn%_aooS`z#>Q;w|m)?)+|WA7w%b
zlaO~5cRQ0Trt)D39O13tl$eD1ubvU0n0lACzjjaRU9EE;@5n}gL)#XjXWKm?Y&*ok
zkFnni7ZV0xIXcHLYy9J4vB*7_PGDT5RI~)8MT{q?>+wIsx#!X*_xzlf_v(-TQFFe>
z>t4Rl%)j+Vz224ZwJm}X4(<zu*!UWHwk<?>Ux2@JErtGt6((<B*W1%Hbt(7uV>t~H
za;I)8<NY3|ZrZGV-OTk49`d<i?Dn}~aDTU9aR1PkZBXm=u0gJg{phf5coLv1alQqQ
zRx}hCg?1wF(-h0u3zH&c?S^y~ve^y@{aG5eZ68zsXjPMcf*(;j{dZ(XFnIu;>?9O}
zf*GSsP}~#*5#M!+77C@0PK`&1%&vwN`8MBe6E<OpN@xY0K_zs2XwtYry6zKo;-_JQ
z0AWR8V_hy)i5IrhW~ZAeaXa?PWSX*8YS`3)#+DKStEVC*AaU29PZzUJs>Xn}Pe(*j
z^mP+-oz!=pwk*?rxK^tXodTHax+0N!2je{w#BlYVJ$odGw|D*X<7@)`%uldK+8#xx
ze1h%M2Tc1~x{eN#M|O+Lu0hCE<1}p=PJ_WOv5j%iMQA-kz~>nn5dcTOsCK#-c2e^5
z8YZDL+7yMF`iS5-MJo33<MI?tZR#8UOVEyABuq5AMaO}5bb|e>(=_fgx6n>>7aF2J
z^1B^(nmB3sKoh=8Ow<%ZM7k|;JI+K=^{|xBQ-5@Oo9o1KLq9DhDOmV<)6Fn_FqW!X
z@D8n0cO!r-JE4`PhoQ2HZtHLJu_P<1Lez)1ySGysiSp=MUDrx>rZ1>08J|VB734{7
zhq*LA`{TXh_S<i#r&GAlTV43#K4&3{s+^$sbBr5oETb1ozAgmwqr^QQ@}G4J-FDmc
zO%g>_#u|lJ`s^cANBhw&=n0)K+jc^QmdnZ`6fH_UBg17Wv27(W0x95c+DTz`rBO^M
z%}(kghRJlN>yVhZktE5*NVQTBkS9fgMt?OwqEuYf>m@p2Oi|WtPexG`#}yCI8^BZ=
z@<oR;;1TJ1h4-(F@8>Ut-*tQb!u}--O0$t(b|%3xIS6ch9X|>$p#s{DR?&^<5%j(Y
z8sm_A;Yc+{leB5kYBM8hR?TB;98&%Cmf{h(9dd-D5-C+RgRqcs@HmhWv`DHZHBAN)
zlgj?!VNaO0y<1#KHV1D@bGH!p^L(MvNYh56kT(>?NZH0!^()Ab$AD?uLhNoH;&B7K
z`<J8Ci?nUr+r9ftk6_#Io4MbLzb#ZNK>!d0m1=?Wl)|w-eO5??xc*JXl{?yS_wMry
z2;rAOcYW?UQ3(VW4bVbzMkL@8VEpe<+Lbxb>F+RnyF+}*4?p((aC#{qlSBM;OPd45
z;?&dAUStaW34k2QqS=#G5KR&rZK0eTc}SJgm^vwA3n6*y=QjPxMbtsxiQh1507_dp
zZqCRI4sv)#?7`)jWi1g}t$7np)G%9tl4|tdGu>d}X{#rXTpti?EV58pao)m%v%%na
z)Q+Q%A5P~jv@mLfSx1{}A#Ruq9FtSUBJ5DOb-XW(W}tLBaLTRKYSdp`lZHgZxU@Xr
z285Z>R^jhw&q=(TD2nF@m%YX@83;9^4DWK_8fx`^IDW6k3+M=PuC}#<z*8b06Wfwz
zOiY&Hlu0~~ps&f8$xV|cn0f_!DjmQTAfXtvTg_TaVS_rorW8Ci{<+go4*Vh;4p2eq
zK;d<qQsL)WkBqJ14@5`)mG!YGZXGUlii0{w`_&1phaN@l(x~3en3+wLsPTB(P5`XD
zX@=xWs-|sb-U1+Cjg@r`tF{T8vwv{4dW7|T4B6u{r&z4Hn_fJs6^jmY_Ym)5*D-#b
zVYr6p3eJV=8LnZ(oJaT5GSDt`6lIpQj-k0ktRn<lNTe2d6>|Q?^aKw}@}Bjez*o<Q
z3LP)%fwi@@01t3*1`1|SI93SE0)XQH`2GjEXE(7OdSLcVcwnq=FB{B0jBqeH8Q|xt
zwl0KjR|}R?syI%i;y4wRPf43CIaXm6N=wD}=IJqy&!VFm+DWV3(pj%BhMxK1^Amx&
z{OJfnkJQp;$G4RvFxLYEsJ>qb9o==q&~<eutoXhP5SQ=ij2&ve2!A!-z9q*7=5o%t
z%fNO@;5bD`2<I9DLysOfHb%S9W$1czhg`+OLDDhjKJHq)Zqfn85s4ElYV2P1(=fAY
z9mUlP`$gND)<_Na0n!nl1BUQ^C>ixHUWe_v-easM$sP)(2@S@6`P*PZ)i%dN6UG|&
zFY51Is%Itj0N7GX)Bc0k)Y+4@@gE&j_hi!)+tuL*Cv^RjvW~uJ&4EkYtMphNn_DN)
z8FT}>p~s!A`KcR(l8|vEF?OVE*`SjOsp~bxlURBDgr}0)<f>V3Ni;A?QgwB5)NLOl
zcy4WN@Q;B=Ne6lZM{zPRd1-b4z3cr2UYw5T#nuq*K}US4JzV#rH<y7~<o$Q-uGbIr
zjC$#n(HBi=I5pMTvrsr|enzDzTM2%Vc(zyoNLCB(fsbESBI-uU_AlxIdh3_<T+|=p
zcGAHD?y6~}lm@y&t5Cw}%DGvTgHqe?kLmkLd4+mG+$&eR#53yv-6@5?0;M0P4lcD9
z9Yt55Ytdckov&=5SVNT(nIz&r7pls^8iLNKcpkJ$*f*M31WoyAJ4ua{(TRN<o{=<T
zLO;WCUf}TOUCO%cP9*#I8cu4hY6K=N&5p8r!UJn-t+lmFYisZTl|X90fRcnL^I%LB
z4Ifr<__`33_8_XZ@|qP5y@OHjuXsbbS`;9HD%KXolK!0VUKpUA=+)(l@&j$E>&s(t
zbBuKI=)qbeR1j4N7!3}K!6s3-gV_MYkZLnqcOt6fv2KV;ZZA#aW!DAIE?4xV-l|I3
z_P}+^T+^T(PfOE(nm6~e&H7U_vEw3?-PQ!xG;rPWBg}(PDgLZF0Pxr&W!D8w;}heb
z%3rIT(-%bJ>zXYz50?NH#L`@ewMkswg|yrp;f|6C<ALi*v(s<kndv>PJ<~I|1?9?Y
zYqnBet4N!8@k$^WhWn4MVMu`@D1}K))3iO)GZ@cI@6oi`D5R^itA#KjDE*@qo&F<x
z=wWzkyfwo6;J4A0QsU8!WJ=S@KsAn^!-%4fq|zy!g?^h4Wm-B}j5uM$9gfpxq8z!A
zrAyAnT=i@O_UkPGb;$pB97I4f+Y{3LpN>h|O+Hqu)rjk}LV@`%sawRBN#IMG>_$yf
z(jW*F)p43l$5oUd08KKRk*jFf4^+h_7988Vcdx~SyQKPothuI16fdBLVwHHq(qnG9
zX5NYFRbi^GuLlY%@uF=M4b!oNDQR%!;lqc0M%<MZmoWb@b9`S?gGmQMUAC431^h{+
zig8t*3_uB%Em;r2nG96P_Z{}Rg@pyvwOM0#AO~xhX<k4TFL9XVF`3Uf7PG3#gl{`W
z)7MqEW3r-WX-3tt4AatF8zF=!LR-A|=bu5_(Q$MwdL?=ky#xI^`Zguu+WJL48_(;#
zpqxr=&85#QTw9VW<v4f+8cfd=19P3(Obx@-OvkJF{w7({A6c<&+!moXT3V6k*B0Ee
z^4?;?`j$_9$<3c`pY!&-Ro6>rO#t(3N!J-$*7aq^^q-#LOZhmSI<{yByh{FD#$b5y
zBoEmHOY6ziz4G_jbPG+z!}c*&2GfKxV;A+PmvtSrh4PoY8DS+2UIC~k$CsF?!Q!Y$
zcTGlxJKW!3uFot<IZg+c<SMR5r|Rd1qK$34!YIk4PUbd<UM_C)_t_NI7bQWffZT`_
zbZh_8_TsUrIL?2`69&9|Hc#8m)xqn&vBi7WfmQ$MA*9#+-{yQCed9}K%?&;ff4Xj#
zdTC&daOb~Iw-(Gmlw_O({zCfw7O+AShYxOR$V>r!KpRGOg2{=o@b_DSGISW7MR%ar
zptqvuT8FT^KL|5|%{cM8{b~_-6++ZjTD?mt-yz+<bx}~-gHO>L;@k9ot~mLt{Cnp<
zrD7aG56poHn5iG7zklY?PILlYkM2f~p{LQWqVLoggnbS#^@A{rcisdhr5FG0&{>Kr
zP#w+JFtSHZAIAR|fp7*5C%;gA=i8b$teIoY2buKIzde5ty%Bu?edSFcQUWRhRQp)R
zgA(w09ZKePMiM6B&cI!l89RN!*129gb*9y773m%(;2;Vxm`{jJY-=GPkDK3&<CwEP
zu5<Or>ULvtF{XQo6gZ_m6YrwREVmg)Pg+w;OG`8Ip);8*(O(f7ix<C$_rM5kLx<z-
zy7))X+tJ6-Z&GQ8NE*jMp;Y`9q&Omf>@>~RaT?8p5MR)>XN8bvH_Jkejx)PiHxsYC
z9@EXp1n`55>h+z0Cd>7oW+24ATOX(N0Rg~SxzeSyTPZURARf4I{q@%`20o^~{%rDL
z8_X!D0l?hy@~ljQ6$S%{w?6Z>z35lTa!a*pQ&Y`mD9d59IW<+Y)Yj={v-#EH^wgy9
zpitlai}!x??tYuS)4_rW@Zp?`Wz)Z`-7E;ZWLLM3*++zza$MTDsvWPV=lfAV?fJH|
zy_P^JnfV|O<wNN6qbaF_*o>R`L0AU|Y%36E1w?lacQ9oj{j2C|-LcD5&j7R>0e#DC
z>bm(;Q`ezTOm0bvg~{?yyX8)l%2t1KC|%iVsQ=;|CVTtunYym)=J}t7LNP%WTEo6|
zA3_(=H_#uVzePU>862pNr6OVeU~;;EO%G-pxs-|g;X$QslKNi|_z5~MYz?<{;&z<2
zvERwYot}q|f*+lHA=w-fim$alWOs~(R)qmdSEdJgfNX_#dF#3JPKa$KdUG6Cgv9T`
z;pL9txE0o}?h^*N^`~2UmUWBw>ATyKmvIn;?A!|h?nP1L%>(}EC4u}*>i_j;qksE#
zq=CII;nO;7aCn{*<~m*>oFAeP#bER2(WGe$PS<a;0IXX(gc;_|HPyD&+RdiHNat1y
zz`DI4>r5P~tG2C1&%#$J7xuGJPVWf+MD;_0>2l$AebayP&TxYATO;^;7$Ju8^3UXE
z^s4{sHy2U`Fy1DN*;yw+LGz-<B@N1I_An4Ac~&qsWC*D!i2FeG%vvQix8E!fh#~OZ
zt6%q)x4ebP?j=`dN6Y1Mgdxuj!am;{M<w0!3U4WRzGk;G`?HqUK7L7vmTf=yCxwkx
zt0jbO11m?by}R0XK<{*PU?)zTFdLIS#XM2a+p{;>Fi+%!X^PzAP5PrbbNHaMEg@R1
z^Ysf6{{egw>nmdN6+}ZstpOSk>YWU!T}u~z6i)f6N3^}}Zsyz|Ybx#Jl{T8hv`EFf
z_|eRu7r1pm$0^P*DEg`}omV@iQ2ipX8RR;8?ORvBgN@i9|GE(3Ljo(WR&dx??RSLc
zRT$-_Km!jz&Gnkqb9BaZr)SmHO&WtBUQO3qJ4V!;oHXe_PESuytLp1;fz2Q!p-No6
z7s1g%^fnZWp_aTYgX%=%%7?EAg<Z(Fz6G7!8q9hzn-BOY?aDI%c{`QmGrVWY;=1am
zc2^WYpr>tbH2>7sZV-cWCP`$eyu_EvOGJ_w=Ug+gG$ChM!;vvXyo)R_ci1?bC331A
z9q8_Y7MNf{K%#x)p_%(NeAZ)<L^RI%$ytEelbjo<8t=6N9uzjgG~qmTBTB`FptNrS
zcFtkw-9*ur`4uLBxvadxrLQ&tA$e<SYlL4F_u}JTfo?$W$8#saIPj1Iu<ipv=+nxC
zD9WA&vzJnY1N$Mk1b(r1a`nqUXklpMuw>QI6d6}b5yvb7ZKbiY(%6n$y#qJ2auv&p
z=9E6y(EvPg40bxUl8PI&K)-g#I9gj<BdT_718aMz!P#Z=0P~kIZlG+>G_KWD0*E%U
zwpK0PQR;&}-295_)AnQf(VH@!I72BAiF%c!l6Ay{(if)AsOB}3OzCzanrJ5pe6(oW
zSZWJvVSv9B)EN>}j`dC%K;&9*tug)|`Adr0pyZuUC%#|iTQvOI5%$HhdKiE<U<Ny5
z=b7-*5uF`Tl;6kl0LzbPq}Bw=&<*+ovgFAW%+C`vlV;*uZ6GLE1@LQ#kpabV6?N2c
zwU4{jt>d)tJfkR=)0?210>3%gV7c6QjZu5(X;lb!rRdlI)ksY*&1W?bD=OA~Pwi%f
zQvue292t)ePPm>YDLFR4%dn5xx(<$AoN%46+}?~J1(^y^u%}WVzi<tQ5JD=p!Qu(D
zh<2mn=;{b*saOC`V8fCS2y)Wc-JW$b352uIa6lfw=PYKMS3yZ*&&_fe@~~d<eH9m~
zTOK!5EKZ$jwOWSf=q<x_C>(NVO5sNvbGLq6?^K^-!N@Z6AykOeE}5wfEf!(?r)z6#
z4i)Z$v6|r}^itcl-p{Ih5HA3JUw6{bE_4Rng6=_Y^gd5vGqEdlnYz93xIFK05<~{G
za7${e1h=Dv{H1`{L{gWq`&40I&?zmyaj$-~eTv=J*irr7UNJr%fx5awV`o}Y`~8Pp
z#g1(DJ{O{X5J#JcdR1`F;6tb$(ulQdJ$!}X4v@w!ZuRu7=rQywOmBnT%t&3ZoUMl;
z%B`4K*9aM92ne2JQPNxZYH#GTdQ09H;&!ytE4U=75#a{Umd-Ia&wg*4lTj+j5ta4!
zGB^-hYzPB3MP+aQ1p3qxb4Mk^{gy_5ltgb4UzU2)KX$8#QgqCN5i+L@aFc-!On`u<
zX5DHM-A7&HWA$K@#z_Az&QD!;#YviNk#XAl|7H8W{nHZWsZJ&UMYwu2EQsAljH-v`
z#IJHbGhePKOn~Ej^Tz*T7|&iRIu0!C(WoaS<Gx|tTEVzl{M%?dI)iRT$S6)rXro}{
z7svVxajb&LF_J9|!?fF8Y~wFq(1kQjYeuD@_D0w~k=wn5X8dmw{D1B`<Vi`o!7-R|
z)ghM4MNuxNuN^aq?%tp%yES22w*UY(WY3e0-xwc*QA0$~7e=DZ#>e~Y^OnZE@$XA=
zrU~1;s%$%sU0&j@C07*nf^Beq2Hx&r?7a>0<D++D1xE2lP!JNtF;y^NbXgBGddgNK
zSquXP#npgBkpaAL!kZnd)oKR7hIG(4i3V1LAP+(THc1(Je}uIZ<m7#hTB@r1<BPto
zs@75N!Gu?Sa6u_=OH!_A6?3-d*<sNx<|L`j{nLETd*jh(t0W3y@+iZ|<qX4sKm)Jy
zVb5L#Y)g{Oxg|?BhE>~pI10B1z5jRB4!08>oMe5OZ8^BvtR_;j^$ARF>8NBFXuT0W
zvNYkOXzwsIvVFNZ*f#=b#xnW**YD)d9*O!{)Nb3MZ*V0iosQ(JH%D{vB=h;EYxYP=
zrCr|-*F#_O$$)`yVgvKQYB%GEV3$->?>GPQ!`h{dP8vX>xIO+OR4xR=@FpG3bHv~K
zZK|pcQ7M3-$+kiV26t7sD0<ugVBGOTi!rxWjHc0E+qjgJq{1lmvC?5M$tC}muB~D4
zyv(rIk_=_3KaO2!n2ouWl?Cm7Slf*QP_b%Xl}w;*wlniSh%O=oX7$oYP(R1oK^WX^
z6f%M*ARB5fQgvLa_+v%@k*Zo^6?cW-z*QD2x~DngO{2t|=CXGvT+KPBoY8777jxs6
zb6{>3OZ8flGS2`E*ll9hH7PY+*RGPHRpd(UCt#%9u$y154algzSSb-i;n`lWVHgG_
z<>~49$REEu+ZI}pCb@tyc%xD-#|h!NT&d`|u2T$?AlGZ{mGs4}Vn4)J|7d*a7&`aE
z{%7l_ct89a+J=rr&=icZM--y_f-sJrS~vSI%=I5BX(oxo{=b!iYrBq2%VFqT>)Vz-
zKd)Q1f2|XSWhy(4bJ<i}FP43uX&UqWa<LvyUG@rkkbgMf{hV<>6}IDMy6O09YrbRZ
znd{gh^*Q6)CDZi6T+X#DH<t@N)0DRV^ptTgLN9g4Dw;&6(0PP1)n|d9vjrb@>{EV9
zBtwjRgMu8qx;t%O_;XkL(4je?Ao1+dN#oxzO?#?X>|is!PP3!Z6TKdw!N676W$x3#
z^~&S#mOU5r`wo6+6e+Dwrb=&nzO48=@Gsj@|Fs4O`~7~ur9b`Nmu#=hsB^mP*)P5K
z<PX{#4u@1baYCa*gtxY~M(`MnP#Bx*xpkt3ZqshKn|70CTnm#hX{V9T5C_=b8A&9l
z4rM6_YQI(s0;vo-730wqA>{u^u3D|ts?{8fbX|<^jC>Ek^CNhd(De^qd+oK?av>~B
z2w$!KG4#0e*C%z$veJSKmogmMqPA_@|7RP~e=cQw3fqp!x#`%((5XkeX#B_j_>cei
zkE;3gRa9?rOC^VMr&MzDwhdt0d88t;^=<fX_%fPCSE2#>B>G+SFSfDFx(f`a`n(Vo
zFzIHCKAz55>U6Wr;c7JqX-LBRq@X;~nClU7oir1`7n}%#P~F^zgVamIv*)eH%|z*z
zqfz}JiaszQ9y3WdYb*u8g1%!13yC&1NgN^s+*RU3Aw|uT+$a1ULscb(F{4)Ef`8tG
zLuJ)(**+?lq@v@18w?D_U4QQqxZpTNNn(Vp$$m0*RB)W4;N@t%B}dxmzOYHD_U;ON
z>O=k%XEI@OB!7pf{GYIof7dh>RRz#@5D6=+1h!T3xaQRGwKWXFR8<w|PJ$(cl>jWe
z=yT152Yzn6Q$Ei?Vtm0}#n#6^OrU=i$6!p^jH}<?qt%>kDiS6;DX6N-s<X91!PH!j
zJIQt@+2HT5@XDM)?V<fQ@m?6BCA16OgC0RBYYLlj#vBKAC)xLSd}EkYEZumOq|q##
zZl$d_40PFf16oEDRF6kRhlVhswxwSsRKj1`vz4~mnvNyo(TO=8GBb_2c<wUK98hZd
zM)BbN!m@O@58x}??>2rjz{|q2^lOXV1ZDzC`dbf76VB*ZGFltLvh?c;+Z2#a>hn3M
zf!5F+=soB+(Qlz2MJ6sM_yqN&*&*Fpyc#+dxUD^b2V-MscJ^v38*i|bY%h)1@P3c8
z)9%FRA{}CvaCPD3O2iMd<TfHfsTSawLLmUsi9%r(I54F;s-7H)LT8h}`=8=Mqv?sw
zV5|$5KDDrR2*P$0YhvrQs|rfjC>1!cB<v>1Vo0=$7n8)rk`>_KY*Pcjp6w^~cDPw^
zH%}SDTvAWmZ~NdLKKW$DcXJNz!wB7L>#0~UV_+GB%gT62g{dXffdirO#=dsB)Fa^1
z2;)5F&j=wI15jknmg~e=0D7zJ6-3wUm6)?`B2LRA{2EY*YVv8qYx55<!_rF{t)ZEP
zd@sMifoLbKq?>{r=nZ-U-GJ(NxDysqmi4y7L=f0FwT2hoWCy_nY&WpIrRh0Nm=!Z_
zXcRzSDmQmU(XM8BNe7^s!C7oE!q26>aWDFhw5mPXtevAadH{V5)6enU+zP`a^a2El
z<1|xgC)iz$Bxz)M=Q;pBxj#u^b}DHYxEZ>(lwUEET$^oKw_V#2mwY7XVVGN|Y%Zm6
zhzU^~=OR;gccBLw`3lc5#{58$HCYJ)V6JN#R<Y7-R!XK}I^OsNn{l@-Y#o4_5g1Q1
zGV@XI^nvyj-19}?%*HL7aVVa53;X&eC!)L=A@p1+vNQnQ7HyX^8%AK7gs=HS^{Z#k
zo(&W~jssAFv$kP5R+!I+mSY+AdCu&~waKE}=9Dl-cX_#dZT^HO3~<kvl3RMq4w|2L
zxpzxaI`4uZyc6@aymhe8Lm4BKx8368+N8~V@>AJ5TR_*NU&Ubyb#yRo1~1J&$QSN5
z;&R!sZKqt0m;MNie|Cj#!?r7xdc9Jy?Z=0)cQxSubXX7Ghvv{Kx)~vNdIYNkc%66=
z0GmTaRnp{>_0u3!>|<;&0SjsnPX^?Fgm%N$=RWs2Zdn|c0WYRUXC?q@wWYWg<vGts
zwRovk16Y7T|I=-^h+Lh}B#HEiw)ms+UC%%NJY#rf`DnU`U0qkZ%|uspJ<oYw*A+c!
zcGW$zf7oBM>tCw0t7+=0q7v;dC;m7|pU>_!orCb`K&ottt^THv51<aDM%Vr68y-t2
z%6a53mdnv~zp~iRtycCZ3p#RFD_>;6(+J!%AC@b>+IXP!7q6WLIU?8V++D5Qpn7?O
z=lx;1Jr_Kn%nx8?)pEpUR?Au8Y84fabg9*9c~QJ$(`aRIDXaF#3Xrl|1?md$P!6OZ
zy!8zj!;8p3MKpynbQ_B1h7@Y3tEU)xuZU{VTcfD0#T|#(y3_6GcHN?%9HZd@E^v-C
z{e2pz9r)UwJ$v}h9cOpWOtU?E_UvKPGds`j*vZH8D~0ci_dcRuTYvNHj-7lLy7$gU
z;yZVoUCrVzclDO`R&g1783ZG=fR@o|^lF3}-QKZUa7+bZyUmOj;qFvBDMN?9wpvP>
zaY~Xf$<lV}OJ)}bgH5_`?~VJq-6#Uc=bG#0V}v#h>Zfru|G#>MmtA&QG#?vS9ALA*
zdpCwC>UQ@nH*<M-kf>WmzmcSW4fy)u!-tn2gB2qRq@CUq*ZQ-qqHEAA5o!eYk|Du%
zar4$BBSkP;5QLqrUI;BT(Y5U24-!NTCM2#V*o#j9zEr4Ia)p9lD&<{``+1*pZdv?f
zjD-lLuqrAn))F`YvdJ8z78X+~#^?PY#B6|Gxt&FwI^$oNx3Lr!<GAR{vcWw^V=lKW
z&iUoJ*@EX%#<bpa4J7UYsyhBIoZPF==(+tihw8=gH}&Ms2?HN)9+RCrM0qra4n%%N
z5dEf2+Bi-WZyzyL!{q#>Nn@7~@JLr>lMqrgEt<nC{9mzHRA`sVMMWvf3#DI9io@_Z
zO>6ycVEmmkD~wW+Oz_<8OYPG>%lMnJ{Gr>FB3yAH3Y#C`$banv_&VB-PM1^AV0^F_
zL;f5clm?#}_K-9^Xc&LU<sywm#{-3)IQaDS56sPC`~sVfu2$U;R46IR>G8{VJ-QS9
z>M`u<%Hq7S1BtTci&Ei=9$kkrc6NDC(&oeYz|WOBQe3T6$_kU#`2<@59vb8&{TNr1
z<~ejXniB$OsTm*8K8fS{e{GCTCNS%6VAhbT{mGtC+}=jAMb06?aUl}7!2-U;nVpLw
zD<cjnZq(L`-t3y)x}~$o?e~}J^$Cq~eV*xz>ob<sgW07w)_dlS7-McK6YGEva4Y!(
za+3mi5R9~&FBOX)#dCA}R~A|YmCiE?bhgpR?Vp>&>tnYVZ<Uzf#!Kh~_V1>CiaTJ5
z2YtzNo~EBWE)H#iR+`4C9WasZ8A!cV>y(P#Q%^nR`<oWg0{yxcrD6{df!Hz}k5B;i
z`0)Mr-)~tX;d^7-x&G4`xB(%__gU*(C_&fxhV_neFbKVE*|vxCUxsdyNN&$~E+jho
z_S=HC>t3`~EwCi)Z|fU#wS)n{3N+Qe*l>gPu)b<KcEhzRe1-FY2z)pU*!R{qA^<oH
zejo<pOZaXdGmVG!&5(D=1%0j7i}*ZzYkmoy?sMpA^j(C|k4Cy-bZRcPep`|@v(URb
z-gPF2bMiOI4!;P2A396BAN;p&3Q-|%pGM2_5VS7vS=Wsm)B9Rgmh!}}sOzq|?j`Q<
zpQoOVL1)SC!_jh(wdU@dX-wo4=C7?OBz#5A`BldGN@M2N{IVhctpB<zH@8mQ<0v|Z
z1_&u$Sdg=ha%T&Bbe@c>#Mg*6?ftD7({d696zae1#r~K43w6(f3f@4oJXPcf5<-E(
z{`csIdAZccJB`812$oKoE!vB&Me7JPjH^i-S;cnfReaQ&2uMcQb-}tz%G4*>PP<uK
zYtUpim^s2C<2gXj^WyP;7Q>c*ZhvGLQ*oT11nNKOw@>qjjO~PW)01Fd7qK?iXy$;x
z?71&s+pg@3cAJ{Hn=`t;1G-L6c4|8O1SOq*@oz!*{DM>2;|>GOLtm@3gNc<cYXzmz
z&ZJh?jigUkI4wo_>O=k76e|z0H*>@o_!m9vCW+TuD5Ktw6Y1F725|4z29o5j@nv+Q
zpCAV-Va875)Ry2iq0gz?s`4n$C}+ZMX?^@4o+ma1r83#OwMVJ=-cwIK1>=_lrBR>}
zYt#2Tr-qb+Hup`M0~5w0=nVy>llR|$|M<g{iV=9e7+KbH-Isx!N{K`M<CKru!#ASW
zp)aHP=N7A88^>v(gZ4{hvE6H#wXR*#Br0j8t@QRnN2s^Q`I+kb>7uWnpj@rmq*LL3
zaOJu7%bj{{CLi)-{d1G58qvg=?K?0u8vDEeFaU-+`bD}{(Y7I<Z}>LnTvZjBSK^)1
z|7QTkrK%|K4cqoL4S@Gux8D}^7GyQg1x@wm>zLu?<<kc{9Y?K|FUxrzWEuvQMm`Uk
zs!R^eZUQD<-FgrJJU6Z1&}CWPu=G{VSI1uv0nwjLF~cMQYRxB43inCUc0qF&s180I
zpNs}dxu`SLj*P98RU$1g;;~ef0i_Q+*gPK7d_4(7y`~3r($zWqO0S~p(PQUf+Sb+x
zqevWbG@41c;J!#Rq>v+Tv8g2jOxv-|18gRz|9!ANJw2@eSXMsh<}C|AnXWiarR7v!
z%C)vX7fcg^_pCJ8Dxf@?mX%lBhitjeht(4*_(#^jdXCqh%m?HfP@-G3zID0aKuHpi
z?g}dkO20EoKfR=-;v`qx*$23)9h-ou=(;ki1cCTQHda(H`(T>TH$mC{+E8T{zM$*3
za^v_FZs6iNiWzu`R%<K7GNJ!?5ttTH+BGfOU>(I|c!Yb!af9EQ=k-A6bSg!M5ZgQW
zP8Zw74ccjjflUL~tHqkbdKq%ieeebPTq3EvQ0v1)qdRbG$c71l`79|u7Y}hg_p_OW
zadL|?!RCC=I%+!7rP#ZNj-&JFKJ-rX0rUyoqx6;=2Ms5|up;-$-5@^);>7m7o02Y*
zX*VN?2F?uxz&6>HhhR@&L(KfNNNhv9zO0}%JIj*h(hMdnTWTh3RRkBt0v>ZA5UX#o
zimw4;gJ)ibWf@!FgvhFsm)F*w6Onvw5Wx6lm}yzhT)cQOz&LoaDYSIH&WO@#b+Q&t
zs8-XljzZr^zHf*_hd5UY@aB5#K6V4p3KzY)W*U^%qqQDJ#8c5KY>n`(+|XN9)J8o`
zdmkvLAeCrj{SXl(A;1riv^SAuQg<D7FXtLTc;&LVFw8T9Q(yfpbX=5Se_50W)!gv~
zSEHnKLU<Q!CcF!ljss6H`+{pS`vN?-v9Xb{&3JN3etn|ongT!}vxNW<!p^|9*{bj?
zeN}iWvt4slw>+_m5Z?N~tr3=CgeF-x=i2yxJ@__;RDe*P5oNZN=i7sJD@}nN(#3SK
z(*bL3O+e;ODl@JwZh8c!b*b0uP4-&7$sRz<QM7Q}3pK@Q0l;YF$+v%Kt(&kp`p?8~
zK_tBIZ4(jvmfYPMp$6JJV>x0-ttt$nxdTG`pd&TeOlrzlr+_8`3WaYN-5wp+iE-A^
zb2f&+ul>h}8}pgt5e)JcG0&pF3#$D-`OhJn*scXW^fx1dRurhO!$V77A`O`I`~Bmm
zxwuIN@X>is>auUnib%dQu5!A&mST&G+AeTBdfaoDl4ks(tmrkzgM~{RGMFy)fDrK|
zz9xZZDHU)Zy|(&zu=Hn!!88ye#sh=t(wDm-M`!nitRuOdxI2Oos-PLP1N9NI7z3uA
z7+{hzJqeu!3Du+X$e_c2Y=^i4g~F7vv~)Ny#Me-%CP`5jLeGJ9^nQtF(0kMNtJgQ2
z{7j`n4$aMC-0hy6+rB+pu5k|clr3vs|GTAZ{rA>SIO`(bt>kX>5W6tp^`@J~`?lF+
zt0v8BN`FbyE#F=e^dg}2IP*8rY$kCy%K{WW$V{AOX&9^PVK2<mI9_fI;g9}rOzT*u
zD}>pbRt=#|1*&1tm$~JdCuSzO?TV$N72WbgYb`N6hvs=b2mxxf<>dob+qUh6${CDt
zt7d;CXIWrh)`a((0Hz6G!Vm`m#&h$l$_)kvmMt0>^zkLv<kro0<_c~foOVrSAKdRy
z!<&U5tWO?TUar;Pxyi}N$tK2lD#2h`xtw)FYZTk_xtEksmmR+6&$y^ool#;0B?NvX
zDVKDU1cs12s(Lr}+Rni!I(Im;eLMaQ+ZLkg#QU!5l2svAUq0A*t-j{iqX~rd`9ksb
z?PtykVcS(41h{J3Laf^M>KHhV^YfWT%jn>-#)=)~W1ERevNiV&Gah?={GHmWd~G4y
zDIC&zy<TkNNq;z08rH+Lm409M*!E+I8I=$&OOrk5TucNqdnV33?2sICq)o`^a=$bF
z7@biRYv8AM_K<KC>bnT_VE}M^I7t)ug{7)231)WA=F6dGb9*jybu4{Tw>O&rxqQNf
z0357eP#wPoe;_j^mya=`DwBIDme^$q=v3RjU8PgtxwReT$wO%JBxsB@J<iVA8NCow
z?>D!g&&=*@HS&qBsMdOb2g1`2!Ckt3B$PBt56lr=$9#<`GU;|z+&(a$G>gs=q*FaQ
zL?)AvHsq?r3su%&mk?*VIKqEZcS6>ZY*h_>h8ZyNgDxb*z!{aOM5*1iryV)o?KC4=
z7Nwllhby2~nZeKAT6pZS$4JEA(4lyH6$~Tri$y;$45+S59HJC|-H#RPaWYwt3ov=>
zt+x^|&0M5H<?BE;3&GmIEf;8X;1zB7A<lw#yfBroR>Nti+M`;{Pv?(&3pOJXFSC##
z#Np4Q1-WheH)fZI>Us9DKW(8J+8(=;SA$13-7P@~I$15XWi?kCritrOa(xs<$>Owd
zOE%Fk`eD#$s0_wy5R=#FcmV1-e5}z3Ta;pc)A>k|Mh~FNV%5*zYgHWP(AQgtQDQ?Y
z`zU-$@#e2=Z6wt^ba!?^4c?Mof4D+ZRI%W%b$M;>2@Rnf^be?|lfs~nJyJf};aZp1
z_Q8eff$W*D>C1Qk-$q5W4c&q6MUSHQBLu$qR5(rEaF_-tJ19CTvD|cgflm{u9k)&R
zbbE@h;LsMtX$4``bjvFga|kGIvYU0YD10AfJM9n+f(Ub0_!uF3eLBE6_;ffv8HUT=
zHv7_l|M!1aL72h4s%QDWWulj|R%qEH@i*;lwwyH3`#rZube&LYIAeS<49PV(Tf7ah
zjTwO{pct5@`^QDcfpvev`w;|SVz<0$FDm<h`6%+>;@#*hx(U4k-5*(Mf*_#3P)xn%
zYce}DtX~PUc_IKDm<2R)<nQ|fMVpuV)e(g?(fm)lIyTW^EXI^X`r$|J_2+V~UvmxP
zAqCB@`~KN0UFBau(D4)){&)c@s$00?jaI9LUY=iH@3%<@;fr4MXEo3+yDVObnZ9Km
zyFv)BkALzR4t+(l{+C|IFxTtBz~jRTYjAYq2$?dt781#IXJ|h<g>FQzM6X59ppT+o
zM_)iA^m}NQ)@&$61^NL3YZ#Uo8?YP$E4PwtN2)sm(vD5c;d0#wJ*1=KL!?|reNp(1
z%x7Z{v|5NWLvRqSudfFf2Y=)=EE@arI}~KA?82<Y^g#jP+rfeb*j9P<7j6q>h{9-p
z)++uKKVI7}X6<vIsla39APO4?Ua(H-K9&N`auzz1qrm4D<!tLM2r1njL%lS&Y>@8I
zsspZU&?TGTT=K}VO}BIeJ!<bT_Mi@|f1trA!XM&zAlwb2uBSUwWCPQq-)V5kG^Uk(
zZ>UVf#R5PO)ZaJBwXn%7$81q8Si}Jk0s&qOG}<y<lQnZ1pL$<C2mlJjc%t%#z3Ma<
zj@43gl*V@b>!r3VXT@^TjH*{XR0f<cOg9PzHJlRGblWw#)icawv6&;=2mskea?QoW
zG<uVaaI@2vn9Qk#LSwp+$54LgDwSrbV;SZ$q080Xh01MFYV58qQ?hIt2#@2+zlGk2
zehvsII8a0=Y%()ftn(R=1MWHTOw>KV(m;1?>$Hy@j%`q>fqfq4oDI6Rkl?{|Uwa<i
zcoy1zf;1UushTt#MmSx@C?YZ}LA^P{L&)%@KBPOEkn4$`)l{7N{(^F%Y5m8`e%??k
z%JzGUQ55C?T(3GzHA$3JLy$<qeD1n`CFVGmBF!+=vXHcNSodT}6beEVVrJ=+5%{VS
zHNfHsN16dwnP8tlM$QH68Cfl;KeBC8vs(Z8-LckcwOT?mcFq!cM|evfAP5@OFi^s2
zqED{~O)+|^+DO72nbEWvk_($nRqYun5i8R=na(K%S@9!&H5@4-&P9?`5VAV6n2Vn4
zVl*X7JwyHeaqyFD#~Iv4uOD$dICAheUS32IZa^P}hzX{R672Nqz1WSg*_@keHp4q9
z)!gweSEKY!Fp?k$g5+zqlvc67CI_hTTcGP7`3m$XdNcX}HgV#op=>UlkLW!twwp3C
zDj}%s3}&cc^5YcHP$B1+hU>!b(v7((p((i_p&4CjP$`cjpz!37te}1`ln%Q#z(YkS
zO_IdZGYN+9`Vq=uZn)^<iob~Qr5!tV>}=(aly%qDU(_k{;59Cz`il+_l5_V<`#Ahi
zy$%rQHh5B%ZBVjuG1lY$hj<|D*Zu5GH{H~mdT7=Hu*ToA9UH)QY*^vHte?W`)w6i8
zPIT%9T2BrSDj<a$2^V%NZq2cvUo_U>!1x8sBKLbIUQakDt=BToV?U-~S~-XU1sOgb
zf^8RU^T&*x_?_cg@Nr?~EOTDQT6^J}=<EnT2AhGgR1edmh{^a?Z#Ecam89U|n#7Vi
z+DRLj&eSyiN+bznBx|Q(8e@x=N;T6Us+7NzXhEQf*W)0-9LL4=?ko7@zFoz=g`=G*
zxV#{7W|%e0(x%5>V~nk{H^SqQWofd^m~l<`{goufu&RxJA<dCY_flT8E<5Tz^Wihs
z8AO$2y;!RK%J`8eiXx=rB(^_?IC4;G)%QBxg6=^Nq1U00q1i1UaJ49do%RNEWLTdt
zk7?d<P|`Z#20BAO{$8Iw^gDjHvy?PYl_!F*llDtZb~{Un>R`rCT^fX|P%M>-@Jwqu
z9+i0<MZrt!2};Yh15vdVHHt4+0nZm3QL7q(W0xC)1#J)8AF!;gAkJt$bI#bXtlpbs
zr!>zzb1y`eWm(a)-9BXJ^Y#^s(|eZ^7QC&ZC=}}x(lf;UQ{VTKrM=Vc-2P10iv>}<
z+=H;XpJ%z^iYx4V-u`3R{iyNFdHV`GKmGcg>3XpsW-?1W^C?MGZDFwOw}}VvF~m_G
zEubCfQ#smUe&lnP$`CP|PkicwMGk2IE|{bje$1uFtluBphTrzf5nQ5LbVu<&8h{6g
z9Np)M!lhfRaLI=L&Y*ZiV;RYdcps+uMLdDtjXs6Y<1MMe01EFx$LHHX@(n2sCwY(n
zhLWYU1(P=?OIz*5Ob8Bu&YNVyztDAxpqX$n#q05j%{a~`+X%@B6)%}SK%e-Pv8K;#
z)TB9j`%~as6=jrzZhJL=VJNbKC0ft`z}A98fvlwZ2Y@PtlD6nkVih^(M3rU3H$|~n
zkE>eKd))Oq{P(9{mCxsQ^tNBjP9lp*SqdVK7@RK{2uj(;1RB;~^CpFzg97fVsw68a
zXaz1quU5G1jG>ZwyIOvZ)9#+o(!|W>y$*V#>bOF->pP;Hn|^uMu3g*F7Uu3EbYf1H
zV=H++ZEJ)V;Tvc-I)=`or=<|IVc0k!3Bz=*!k`WnvSHMA0+X84cA^q;LwB!bki5T#
z!2ak?<@;G`usO{nhM#Fjt-ESeX1Xv`B2jl<5gCAfY`aTiKpdcFE_87mM0!q}F*Sbk
zsG-{^GMBA1b2Bw~L)CQv9Jd;$^IToT`>W&cZzlW$XJN6rKaL7<AZ{eKw@jDzBz<^k
z2cv)Ona3SX#9DT}<E;^X9sCw5qDj<2d(r0*0;QoKCLT%}sWJ(Ml|~9P?kGO^D~d|}
zNOW;L4F`od!YG8!63sW5dcdML!~457UuFBBDy;Pt@5f|GCEVcSm&Y#~oKIZWW1wbQ
z774Aw#T5gvTxLD&e_Je;kG&Mj+RMRLhr=P^++eb#zW2RBSY3dVp{9M{lMDS~voLwM
z58pS_w5aSUEpQ76CuY<~C+DllxlP3T#-TWl+t!`=HoKUzPU+}ZT_$wNp<%kQOmin5
zhcxM^6|3XG{V~U~dS}j@$*{EtfB^aE__^}@C=MknMiAsH1wSxWTsb@~1}9}WL(Gq6
z?a;e9^mr=eyo##!(!#VX?!s^I4bBb!20menPi5gH82rb7{6`NXxr_dzI{hVq5K7N_
z5?*TPO){dnS?wQs{tKXntM}I_4y~=Fq@-~>LekbRx4w$A;PE&*jc$rMfr2QZ9&)vr
z4Hg}(^)b&6O}ow{Nm@_1l{`tdl(jGjJ++W@{R*4orYro>?%lhE>sp2^5!exQ!dLJX
zM^&lrIL;8TrVy;?c%N5|CXU6Gs^6Bd4Env`2Z0ZdilgDx-jAI)al*owbJH?)I)Glu
z7C>8f9M@4*x(14>>8^v}=8A1wR_TzU=(=sR^9JWe{(EQbSHI4ei#~E6hEi*;e<fQ{
z;ZoPV7zUL+k(FNH=k3qZINCRW&FYJCkiEL%u;Uv4{W|YkrBNM}#r*Q5q7rtjT;_5E
zM>#$IMQMxvqOczae1DO5Um`2)gf`VYK&d8$N02X~3Jl{OIq4yE)7XGWlW`in%qbb_
zOOV{RV{)6?SW%c50PEzYw1tHQ4$B_#NO^7|-8h9CXMjNMA(|_ymbvYB_9kE0wrv~t
zWk=~}>%fiR26`%Mtd%~Jl5PL_RsujK;r06Ja$;IJfy_ihC<Y9^Ry=?^k%y+dZEeBC
zl4k;18jHW)0yxrw;ErZV%}`s0(>Kee?g|#w5Q=k%O^@$Qxr~KKTv}}JjiT0@kv~LE
zxSy`6Y$HDz;a+(eJAnEOVyMx3udeGOr+-7d<gh9)dPY$k#B)cKk_zhuh=b#Z%OP~A
ztK{rlj!U=*b$vodCZw7aC`%*bO9|Haixz9!|IX}&U_o%C7)x?(>tUcHU!tojl_}}>
z7sYMpzF!{9#-g%P$Nzc2kkeUOmA|?UvM7VS{7_ncC|>b%)^g~Z((iZzrk6m^zW!<?
zU3%$r3^N7O>q9a4mbKK`5X^QKA*?&3{AB>Ee#aET(zP$ZIM!3@^N-EDzje&r!5voJ
zGdn@JV=_Q_%jkrEgb!SK=iZ>#cl7#<cgPPJ1H!#yl09?4xY7r|xNjkju0|VuMJ-9+
zJM&0^{<vuy0bgOioCeaux>YCp<VD=EJjt6K$3G%DRIE4aqv^dmRz6?hm3-dnP>uS9
zsW-8#Xy5Lj|3sDq+HG@DhDPb%%o0_*XL(HcPjxnL3Ss8Y{%TmhM^g#h)lG*CKH1}b
zyf*5g`z;0|#_KphQ^q`3QJ<AotVsQ_*g-#dKM<P=><40wZIyk_K<6%SecQ5b(`>wm
z+jj44h5`LI>us1d;DUSu(bPm-e5VB1Wz0}+z;aGc@mX`i<JD*~;!9|~zh#!-_Ay%7
zdJ+B-M(7B-DzX!VZ4ScopgDrLBL?Dl&w%P*8_CKHjfP0)*Biu>9Og35t!=w1CuT#>
zX>a!79FZ^wuGOJZR9_1eit{DQqEuXLP)UV%4}B_*16TuRCFY&WwBODQt`Q0IUkLL^
zDSW+-q?3~_%Y_wP#Mvx%s}{eAAAu1%j85BJ@yiobX$z!2mn<zLl(cJdGftDV|3291
z2tPUSVNo94!E={%$epy(fCWGuu9l7jA#VeREUPph8R?ajp~elyu|&?nT9d~9{j9Sh
zcW7J9bBWR#h4t;VcHRkH0&UN4f%<(cxYf{s2}vSgYq?$tbIhGg7SnTYQ~ZKsiD=wl
zZ*NB*^z17Rtc7trr6cF9eZO0M=W<Ec)wzR%Y;PpK41CE>WqCrcCK<tA-?Vyxw=#du
zhvqbJU2@8w*AJ_viLlxRb}F&hCH7}q7+#s5gGLH|U~E?hi<5U*x%^egX)CE)R@MnO
z>Jf*Vo0~(#XBm7VF9d9%CeUuX4B4xFf$E+w-i52^O7sYNa|}RE%XFF<$*v^9vKN@s
z@c|b{WC}Jk>Ei`lLtl1`NP!IUM5+>UC8zlwf7N2_4drrg6c01bSPa0&>fAzWid&Y}
zS{zzd%G_efbzuIYc@fNIhsCdt31Dcd(Go;8S`&>Y|ASU*<|5M+M`2G7Y>x}uw{M?j
zSTg$rx-MJJTyWgdEwdeUm>jtcUsMf2a;jlyIiz3_J35A!kbx>_kyAAp01<wUh=@Bv
zB4Z>@2{Xh(u=WY#ied(QgE<#;Ke>1Ob06dIy(VDu8RCR@0)GHMXL0R%pLx~`Zu`t9
zKl#b$yVSIVDa+b%yZ8-5DOVc7XJkLbU{*~qZmerLefgTEY3rQXHsfbMO8ifL@{{vd
zo3c!)X^F?m_V*%}<_ACuDsPS8ui+&mPz9YtcU@l*tE-6RkbhDY&|9*Uxe!2SJinDD
zvil~3rshbsofr^u<uC;FYjB)3>!xa)^z5H^i2Y|w4CZ@7?0nz@AHXT{3jIyD+x>LD
zw3rL7=c*=z;Oa7FvP32%e2mJnX__WI-T9NGI+7j}!RHm#=XeX==gY=l=iqRgrv3KA
zG=A6BS6_V>#{bQ<U!?|DHBA$JAlzU*S$RxYCZ)1$E>SA(O3A}HYy3+rD-TRI`l~id
zXAD$Eb9hblYyFzKrKb`T%dL^$#~@(5PLZgz6QmxtGgG#`PQt9$BFmSaxB&@X8403g
zDH(fC1zDC^gLg-vtl)M7s((lTSg$kzTd%zTHLrP%WT|Z^{t%^NAmI%UUW7jRn4YRU
z`B51V6R|!@%w!FBoMP_@P3v)Cz!_X67Y&Bsz16)})8MmMSOBK5j6IYpJTxf%Ou3x%
zN~b)dsCpg)w?8HAQHT(UQk*tBj0t08Syzcks8O3qRDIdm{nJ%T6MS(L!%K_6w-LYc
zkKTx0$$Mc(N3Gq1>ro??y3dm?@qKD>Q|J@uSw%?n1U0$TTDk+I&{|jUYSnK2n{BTN
z@!%g7F4?vaYxQw!Yk_UUrM0!=j?=a$SXMTXzGVPs-&wus$l7@83?bImj=@@mHuUY=
zzlZXuiSF!GYFkP$JjYT<W(`QP6{4~-wukQs$hJCyh>#VOMP+hW$Bpwdbh9?lBpNjY
z7jP@p#^P<OGEIm~aKk@snE<-Im<6*Tws)AEzF{)&d=?;Y{D+^e_uC@dSzj?)v<Bv@
zsrw4$D%QG^$#&5T|GaY!2D9&-e=>6Ed9@hUfld(o7PD`*Z|ko>RD(~*(vZr-O4{V7
zF=g%@lN|~-LtuqRVXT}5%d$3kl`|t3b|-?lxel&1DR)-}$iaI}un&&-s-_Ke2R-!6
z++BB#f4Kdao}&+bch$Nz{@Ix`XIg>Wr^R_>b=rJdi4ih9@Kf@*r_o*L*ZV<w35sgR
z<#4>EnbYcK+20Iy6)h)QA>n3MuH%k*2A{N>?Y<X=2-DYeg<Q^0@?fm(VqNbikZ3`x
zh~$`SmPf72Rx0;-6#d0{7prWbr}Txp4WL&m9+%4*3p<(?`QvK^F1_hb=3lvoJfW)o
zT6<c4{&+p}E!QA<b|6f1(SN~Trk$lE$-9sI4g>4`kUyPMANeAxbs%TTwV(gztB;}I
zL@%Q6=1(D6py5e$+SL<z@`IP7_QTV_ijBAO+};mZuIJw8#+!(~AYIYA_1p$i28YAQ
zkM806){8i<w`FgYCb+}fV3`O}i|Kez9JE0<!M~qcTmKo5y8oBQT?UQ1+~B0AN)pdF
zH%Je|tjaU)9p9z$tg1>9e<kOfL`0U@D`okZVLx4uBB_nfOFk;AP;@Pq#f@aKoe8bd
z<%(9DqNFpwjtS^K(3En{mo&-#_0X6X>r&aaeLp@9gCc!FB8YhP@*}BQEnjh)LiajS
zdT2(`f@l8bYWaFRHQ#LHXRjz%tI~L5?J5QEUQtdDeRcGytMJ$Qx~9`t_D{NdZ)pwG
z+HWU*=!#Z*(ygZl%E*WAo>W<>+4NONp{y3uS1++LqeykqEZL3Lkd8u`73Ocj*PZCt
z!OK}MYAo5jz3z%VT{{Xt`*ChjOLFhW*00-=_9gziGMdnJV$*&DSFG4>-mbfcW)v;w
z{P=tDP%1flsdC#D?=+xGx-2gk#xO(<iqJgTj*g=1&^meyJ&nGgZ4C85_&MpQ#<6;R
zm+bw3TuIDwvF<Spp~>!Ya+oH5R)P6dX5(G|<bS0#lV+k;e6|0>gmCx{Cj``dzJVsW
z)yU@+;P^JO6p*JZ6QT;8qBR_U=|DQZ#CowALRG4R`Ox`|^oN7TL>~yWZK_!)67QVb
zNwLtxlkm(Is-ffP0(wJq>0)A}w7ru{J>qAF*=Y3ZfYBIMN+HMFa}B<3X1{i(Z|+Ip
z+?g$I3Y=Kkm$;S$al8x+bEIEIvN*V-b)rIlEs~*!%!#(o%<z5b^v&KUYnHupe$JL9
zLFw3?MXI~Ilyv=2z2;j7y`Xe5HM?Wu)ZuG;XH&83rA$h>%rnLTFAeqGjH`bjN@j*G
z!0H!CspC$EptC8tZezD9Y31?9<=$_;AHLNuiSU?#2X{g#6rsGdy8Gku=90HU|9z|9
zD5g8|yEBSnCbxbc==5Eg*PqqD;AHR6-U+F^0(jK!80ncN(Oz^8-G`83NK90+bE?Gt
zT^*WPv!rx;YN}*yI^(mwDIj@X0k|=j%Sl9)b4vtcrAa|i$if0q6xviIOqOoEPDod@
zWOEl``F6Xh-+g#<tJPA~mIf+O8XY3bQa&fiGFfUUDgo`gmb<u)xbF})UnN}IfU^fv
zik2viCk3)#V&fv|@d%WVcFc}&Tbz=VB(qz>D3CAa<#3w2#ZL(~jhnghN=gOXd*sLw
z_39())ze3g98s=0qFy~z)t${F5M6nk^D3}O#HqC77d{aQN_*_{?DL}sn*Aa}1U_`6
z`w2TGdbHNE%Ocv1?m-VD1gLECcGnqXOZOB`wB1M23U5NNC<3F!fsqad3$Pa=pa+D!
zr-dEp1KL7Rl%&S>IG8%Cj(acKbaE0x_aaKgb8BmBYw|x5>oK`fGT$+mc&HcPFWFAq
z(t|Tkoprg_>%$h$^|8xq#2pSWpC^aW`L*xTwiq9l{m}5_J9&-<YgF~UsN)2_Wo0R&
zarrpgt~7O;i;>YkI(ihB&u&M3%OW$jJ=bXRyWd8skYqx`!q@b7a;6E=eZ;c8r}_&)
zd44-Q`=dGY9*{gQp4mrO)pVYbg|B@NOfyF*9P=0-yOv0CI8v0;PQQZHr90!VbycMK
zJN(b4P&`*Drb?E-qe<9x)Q3w4yi<zG-;cu^QgLOjNbZOP&FYWj4oKU~eo34%+S-9m
zqMP^vfCi>AmtxvZNnmyo#`iG?ft3y)=v*<B4Um_1-XwApqN7KP>b(0TFwI=#Tf0WM
z0;Te7l~|VF7{t9oJSix>c=5|%Ao(_6$eB0(9HlwF)b{QT8cu$$T9r?GjPEZUVa!?w
zD=t$61m7CKbtplbLK9(8XyGdLF-4g>TI)#HA_rU!krn<ppfhsQgWG$ZPBm};xEJBx
zFGq$f@QI!y9OaU%zw4<-&+-l1vf!V_|Cv~MWP>!>i4JmaKy}Oc_i@Lu-K+5a=US`P
z?6j8Jie;^=TT$$;0Zto+wA(?Li=yRR<l&$P?a|lc85oZHFdX->b>PlXE*AwD2Dvk9
zYiFz-k>y+UfC9yP65|03a!<>PU3rAr5wg%SXSnDy5|}#^x|r5!#6%7oL~(7w+%z?9
zV-hrQhF<v1kkMc;SWskH|1DjXm4(4zFi=TldMb*dWCV|e?>LU4sp$%qWVy1iupoqO
zFD%%$5ZgBf{X<kE07RpQB3X9oakhMNdHid3ayg6Z4qypiT6jI)SM{5A|82AfokBOG
z2hh{#V+<DuQ0&#y6xOFsg{OdTM+C&H9`T`xb%!WsRuB`QV#%u9-|Hd_6;Z6rZf`|!
zNTullIO#Y~+^4Tt0V`(uIiOCsxkiBLiyDo59?aS8E}t%72=Bfp{v9x?2Oc%v+&T>l
zOh36N+{D-~EqFoKuQ9I)Yx)a|jsq)G>`UJO<nxV^AA#q^uknNd*Sz4DdW#8zO*1lt
zMfT3paZ{ZzqwDiWVy`riZ-1$N06qUphu4|z$lP1G8?`&_yY6G9r3}GUq}IE?0DUe8
zA4nE9Xdj@=%-ogwK;&!Y-j+A7t9Qmp|2TJ|htXSnmI!0s;s6IrwNQu0$O+l5+p>Q&
zR`rD0bB%_RoWQ|KzuI-SR3*w$Wwk$=5UsDf@EtpG_7)S{_9ALxd(r52<(8{$Gq~a#
zeOoB&>af0brU~PX=kkNU;1k8cOz6<jrgl>=%x8-?XXQx0)pO^cTYt{ka@)h<9drnt
zMYo`b&{OC)u<JRA?Ibd2nuYBF-G-<aH-mexv{Ow1H}%e*s>Dy?LM9*L&1j<9jRc`L
zGnwIA@lxps%(se6GD%Xwy;Q1?Uv4Y6-1o$vr@WH~b6;L8<Z^|@M>z|C@Q4Wr!3E4F
zI<+!=A{Q|`Fb&tpI}HO#O+$EqpJ3pc@8v^bkSTLl@$~HMG=4PkfMr=a-}L3z+IM9N
zJO<=P>)bM$LEAW&mmx{Lom$4H-bm3!d07niXm{4d#jNId%xZqJ-|xF7rw9M2!{LxI
zU0-nTU@#aUoNBH;{UHOmx8LvUI%D7elSISeP}dpTKK`e{fVWS*8|8>a-p#UnPi(u`
z(3;j%mUi1K#Jt|zB?K#*m6*?~zXB*I(xjrbG-Xm!bdXB4%U3$`eE^U^Z@;z{Al!4$
z_fn9%s@j!--X~aDzweE&w$@eCKWBTu{$=LxtfX86fU9x)d@=K{V%jpvn8Z_?TXUEQ
zJKjmOqT|4<M@etFdDj+j3E#x936qlmiyktVgOsR_|5mWS1-1aQ*j}p50j3o$%azyC
zV!~7YlqR2u*SeDb@bOQV&ZvF;<^{~2lk<!oq4}&z2;pc?yK{=MQ+A%}pK^azA%wlO
zqw?-aT|epOvEm6Y0=g^nFA^ahmS}Df-MLW+J&JYg@g!{$MHuj-B3oNk(w0jkHx5pW
z`@oV~ImXJ@_+G*`a_?GCF|F1;9+u#e{#)Q}FTF?NLleNf<t`n|n=Q%g^?Fuj<2BlL
z@n3pDG#u**KLlrKqRS8hc`y8}Vl8g6LMT2nq7oMXo?67AFibn=>z%nTPiNQky_SLF
zmWpmxV#r`lN-T>{-O7U?>ej-#xURjRvbF4%lIwt*E#D`J=hQbP%%-=aJWsAhudptX
z@oX6`+UijD*oEM=Q1v)HRc>+^U~paAwuLY?5(XFtA<;}BY}<BSlRkCq9203BX{&vA
zhJ$gi#xPE)U@R>|0+#N21MdUi3#{O~!bc~dY&1E_anLjdFyivqxZMGfl~+}yB)(Z5
z>Nzt1E6bqyWCcOD_s9?%{W+aLrgxsHwA&``$I@0u(fhEMdZ~|ix&9Y><mC0FV&Bwc
zNuJybquWboB*3N#kU*J8Ccu5wo<R_UX)7heiY?v1s&*qw_=l(lA09|ey<1TfQFy9y
z#f?45`57<)Q>k+0J0fW0*oi`cTyMfg#bDD_6b4{ulxhY5J5XoyNCvXKhmNB@`qrwI
zZ<On2@x8wG;@oYw6hrnv?5osn5-!0v1YI|9y`uok5t}t$KOK&ZQ;u@xP=$W1AOc!)
zTl#hlbtSh=CqxP|UC#oE5Pe%t(Vsbk0?=Q4Ju|N?8W0fLGX$nvj9EH^5VP<FOuHTi
z@GOouV_Sk^9QV{0VDvFEe7K_S86xi03TE1*ol?=^HN()tLdS888t-%fb*Ri);vd1*
zj|a5pYS`#=T7TZMy$1tSMiVHI$)&UO1bKWcy~LwBQbw{k^#gL0$?4Wo)@@@FJ#yn#
zh-lLx@RD-(I`GJ8p5m<@;j<3MqrqS>fZ1m*o0sarZzB)wK>N_?Pgv;26c>@8L0~{Z
zMk2CA;f*_pu!U2k1OTsqB!>Xbz_!gdzVVHE4jyZry`k$mG9F$pQcmu1BCzc|?!ZG)
z$*~aytL`#Hp<z^R5YTyRz)U@}2fl@pv6T%N<j^sg@i<-<t;F^FRdUd7mVx2An+!)l
zb+K0R=y^${)RnwnFA1GOgxMy1h4Z0ijyHwQ!2XU3^b3MgrkfB6Z736-6i_c(xPaJ~
zcnBu{JNRg)6Q;gDP?D$DE^A5jnTP$mVXj%$nrT?hRPhdzj`bSXeU9PW$qUNLS8<TT
z>^XOBZEdHdQh+tbTIGDza!h05p#bCHp$Wqbg%}XSWCK!eZ)IqZ!T8$`sX*^T@%Sz4
z!MD*2I)yM$#<eyIEgB4&#5LgsQq=*`Fi<B@xLDAmM5y_!4)(&~XO3l<_3<lereQg2
znzrUxhFODm?u$Nul1;2rlXT-32UL~zQ*Vc5QVKcDo`bI#rejqqmSY;6)CGTtK61Km
ztH~Ip;yw!M6E-kr4!JfsPvWYit9y2s{E&6`Ulq-ymS*8OmOOB36L(iV&-ULJu3m4C
z-(Gv+1k2v@eG@#d%1`yvJK3(+q4LP-EkY84tr6ahJ<W7DcnwCRD+cL$tUcY4{LKBJ
zWJ+1x1p52ewsqcxweM5Qul&$+mI4wx)sV;FTPTnAAOwVnn{arivgzSTo210<_12Gk
z<Rij(&XdVIfB!mk-S@lha}4M3N$v9GhaP%Jq64ci^$AbcFoqvLmVDby+h`W8M5`rt
zjRRL|$ZHr|7(^6GwH+dv??ib7fz(uz%jLv3^yX4hJUP~&kigM+oYBjTH<r1!!Fq0E
zMyrTqK(*}wOCQ$6wg_V|-`$Q&WZgDt$2C8-1?C_+ccPtkgjnv6?6pzkvJfN^Ez0Ep
z;UK_%QsdDGYK4c9R0`>>m-bKIonu||=7Hjqt@SnBgKyNi_G{32bO(C4rwy;d)WKq9
zENbW*Ni#u|4bxn500iZ#gajP{M7fSf;*!h=J{Z|-w$m_ix-y+5-K6=|_$!S!n&fNH
z`@dbg4bBzcS2#Dgq9~T7C<=#fY&*x)KgD6+{08tR6<Oh&bJhP-U*((|vZ6j&{^&<P
zD&8nAZ#J99nvW3IXQs(~moNs+$Jqbn!Hcq@@WqvtMXo5a%D9ot%_Roos><2+xT2`X
zjXi7mBg#qN8vg*JLc^GwyGueZlXIB=lPLP^sZ*y;J?=B&#z_*pg!%b$Iqz-AldA0Q
zjNqH-5V{PVMSXOu?N4eHbbzfEbDY#bz*gFvI8N(n>yba)5h5@N>1vX7Gm{z>k|O!n
zp_izu#)M=fOOr56!Xzb$^^xmnCh@-uG32tW=q{x~i3sSMx*lL01>0BeK%@vtU0so7
zK0LgA`}UQ4?^P6K_ip9Yf-yE9-!(Tk$LjZ)69um)d`(r?2<O~cyNxlg&WKX6=5Wr*
z+IU}@rs=3uDs?)gQ~UPqYnIE+W^-Tp<%tJ1KOKm>{>T3l-|8M2k_M~=Vc-ebXS%rt
zcVO7{$tI3)TRo4ZQ$tW{#X$hLI*)nh23~*UB}&4nIAF<k`4EC2o(c&aG=tYB^M5u>
zrsfc8L?5V$-G9gykqV&`;xaSh`0spiJ%KYf-E`AlE-Tg+a)qI;DYj$mxrwpsgJQ||
zygoBc_D?t6bkiQgvDG!j5Dp+)k@?=6m}#=U=lP{#a6MxPAtcwgk>5hHu93?;sFWe(
zB$&DYGg!>H$MJ=sGuc?VTm)6N@@)v)(v8MwYr(&nXG!i%-n^kRIdaxCt&t62k1TTm
z@{As$0|<gn=sFUGTnH~vXEne9yId9rs}7~4ue+|^C-i?06p5XZfrs0`o*atBQ}4Fi
zrqAEICU2G#Pys~S%^51h@hrTzMfFcBp5BOEmx8kJ;~SUa?z~upl}U+4H%UUsp{10`
zcELR!#<Gp(P3&L-MOy{_S%!nb;COorDdrc!JnB`(|7P1lB)=A59Q;~haKs50XMW2)
z?iSo=&?-|v@)#dz`z7~y-_%MV()Zo=2w~d^4g#E*G1+VlrSFf!gWnh&7f(SV**{!i
z((2J@Vv*<DoZG&~;@KUOu-CBxj#~<9wZJffS}iEK4lkGBQB5DW?;o$Hs&2R53xY6A
zy>Rwm1?5$)r~RFDO;IZZo#}X1FiQ%P8KJMQ&4#ly<#a$UIu0bKKjV5~=$}4)dS=Gl
zeW0*n+P)1}@WlNPC~gl?vBVsMZ~%I`(V(A_+-F9*=@a<m55Ed+pij@@d(my=ebX0#
znHVgti*<I9Sej^dS{-}#m1ZK@u0!B|A%i@QJ-$^7R4CU^>@|oae}}<wiZXPZsU@ee
z3DL~V%*^TW%isBH1MBnGDEly1t`a|c4$)%7>i}^71g_wIzh9gDDE;q;-+|>vx`eRN
zF}efY!i~L?v(R!M@Isw;?5T#S4s4u?7@Aa|0v#tu5CT?$ur2-vu&&HnyyTA0hB|SI
zex959PR_L82~8#1YZg_NXxChg%MzGY?hLLl)TD=xK%<u4x-k`dtf}G|p<0{PcZ8_p
zpRG{b>JcuN3wK<u(4MBqxN&k))*?+&q)LToHM=gKd>h<QD3|fY&CSgkpP8PZNs93q
zUZVqN*$Dw4()5ORR@wuIvy0}<HDBRMwxbieaQbyEwyp_eR%+>e)NpnLy!S~nWEMM!
z6fh{yadLg4w%sJXk2r3D*g|+At2aIvlqSLf4l73g5;}>qT{z{$PPcFP&-J*X<hj~u
zK`DG+^S!cg`Zv|5b@JA>qqrA+ZJUBp#c6S)&-B^1+57IfobTu6=5xNEo2UI`3J2rX
z)&Q&;Z@YUql!rluQV~_cklApXFDTt5S|;6g7qZO-A>r3e$QOE^O{l*=Y!eUQdBjl-
zb@1xz3;ht^5G4peVk=90iKGshii%0sMN5?%p`5CDL}r<anO#e-d3V(rU4oGcKTP1A
zK1-=MO+2q8+=bQ2@1Hz*(q`R(`i>}jzILn5`UY<~3Z-Jxlj}CcY5)2g75*)WtK&a!
z$6RlFh5o9=@}Z!#5`>(#IdpG?o{5EFWfzvjLJ|+Q#LxHX2Z0vGIw#UG)Al*~47wTJ
zkKTmd#YGLv@DJ8V_&l=FBB>hI4uY-jfTud64wz{AfOCUbXbv1XLQ*FHl%YAra2CNk
z@Lyu4a9A8A#44U&U0sE6F=^Ysytr}1st|b1K5}6E534_wJ7usjf0$$dtEsAMstPbE
zCW^u^M6qZZhFL5IrU^K|tlD;-iG#47$6%VlLBaC2tuA+3?h*L%M`*0Bu70uwwk^b1
zd`_6R!%>C*E&<gwM!fQCWEjU90MJG^^&OAEG=n@YxUR0Q;e244pz5w$IIxH?QV-9g
zHtM0v(M{+9^akw9J*jKe2yFn?5CSS)0Rj`;j8U~LkU{RBagg5`>sQ?GNUN~4$Hu)#
z{Yuoa0$e>f`SI+5X#%`rd3iZo^x3?uO_{lSf;sh;#0-Q{u18;0g~Sc2!+DV9&{*KR
zQZ#SKiF3g;gJN#XE&$MGMxM~5cfYQ%mfK#;mGeDRLv6IL=aoExJ{Z#*r>rb(QMYFu
z!+Nq=+{}$ami&dpkgv`ZgV4W%7G_H&K?rmRiIr-e9g1r86SM4?j<3ZndwjpPE(l6-
z5a2;2I>}jcD${zKNWJ8NGiNwdO(+!+QVook_ndGBzVkUwJOdj?todS<8fem-4Aere
z@Dw*rd82VZ4g4?e%r~?TQ60^ogI1_{8i6M{s%pISjnN0N?E?qF!`Mk<J-<AHtUpr)
zv(!eif9ig(Cwd!H=;N0!6_kE*c3ZQS=udndMU;xD-|zRw;`AY~aItdU&ml!C=n=Gm
zqFhExw4j?UWlO10Mzz)H^*9WZ+8ELj6L-E&<c<vxPBER#Ewf@t+D$vTH<Z!A;bL)W
zwj`o4VOg@AB#V2!UhjcGBSN4has*!fF4%ECCP=1Z@EwY$y6lcjV)+{E2l>H=p&HmA
z%{12zLR*qv^+LKiQ>9;e<4j*T(+4Y@x$rBL32Lq<`8HxGI`p$qLCAIe&SAgpaJG~#
zb<n|>kg@e{3F~cHh3K=WK&%!`Zr`MddC27o5vOeCAW`XYTl<S@5Ua_d+qXfT0Knp;
zAw`^$4pWu+A2%HrD{}_D2yi{DH~lV@pPD6yeJad(c<P_t=voBy9JNu1QL&zE(#?R?
z<Jo4jkcZo{2Js{{I`*GABAO}|VWS418?Yc>Xr8vdbo<hxH4vzZKJ2pRo;=T&pje#J
z%5U4&e{XH#H{C0^)(kp^?p)JK@49!lpXrupsd`dQRZ<fz$adJ8+Hb<5bwRyD$C>tP
z%L|cZLfCee+4lAZfcH7i_x9q;3d4F{91}|1<-flQ-ZiktIWp60X#M*2+S(ey9{3%^
z(Wy~cQ37HX@EO^??WZPS*pb(|{fM{t*2H;^W~$XP-(*XHY;UZrG*+~zy*@@u0S_r>
z8(&;o3#n^mA$Wl=<(AkQ!K==7qZ7z;<7zmMj?xSHS?Xy$xz%`6w>AQowynBX0x5yh
zPG-vv`LwT_!8OM&<g2a?a03XYZZo3FZKs<qPx<3tp0lhR%mW<E6uB>x1;v68Dy)Y%
zal>qS2F1IQ>Cbf}U6kG-CYZJNyD1{2)sYBkQo1PN^S(p4f^sT;ddsqsL`Vl2n$ay)
z=Hy6E&&<B3oH@hk04<>F*z9DR0i>Kuw-ShWCqKfjwd1yZ_d?p@G)b3Y?=;$_tg_G^
zVir=BSI-9U+;$qqaXUt{wQVU2rE$q*Z*z0gEzOPgAllsA+%Fvy;h`z0yWZjX`T3bo
zEGOiCN$FQzuGOE{aK(|y4<9*lL^*JzC*KDH*E5TuHy+8?*t@~UOf+T{-;HjQ@Uqy&
z3U%SvwvL$MR#@{0<M6{37Aw#!%F5QPvWvUA$2r$ruhpFGq#cNQhTn_x*s-gsrm0oi
z!ShhBx7+nP<g4v^{dw+7qS36wYTxz%hSd$Km9nCgE7hQD8SVOAX}j2VAfR4vA0a(r
z6Zv+oekc0h^nuq}8XdF?IWW2o^|;o-X4<b!Lg+0$W3twQZou3ypLG0ABlXi7hQ$`I
z8DD`Y=}lBjs%sPZiHYf{1{}-_F&dAc_ijZ|kmTV~@UmKzihC7_F;lRGn(H{f%EPdz
zSeCWzFb_v<@NF2O6Fk0~x63@Ul2e>vwPTpop1c4($2@j%^c{?7PI^bA&YuxvW12j4
z8UpJBU*&Scax88Xr@@&n8r*VCZn$?Ft2rQ!_bL+BCJmYmGHOg}SW@=J1GC2D-G`G*
zRKWZIapL|KcwM`B%i@+}MF5fIn%uI?78Hw9!-djbRaJpzS?D6k-qHeJf3?=Sl^iyf
z6OZ0IEf5`%$w-E1hIQoDL39H3*Bj8|jBBYX#th(Q0b6`UvF#zRZJYTKj9L!*mj}C1
zR|2F)7uSs)%0a;QEmv?ZrwcOg(wQ?apE>h@gs-zI_9>N_rF&%C&iAO(0KsH{j(~XZ
zV6E$ldaIvqpCXh5{7|;POL}L{_+R+9v5hll&YW5Pr*F{vY309a9P_4D;yKmxt68{*
zTDf>-GH%ZvfUQ>2#A!>yq?QuyL(Gpl;UY=#PW65y2=&Lk&8MG!8k$eT2wd0t<IfiI
z+x_exTdoT~eER99pKkM)d=o7q1c5IKh*e`CD}DS<s-*sYf*f;!v>U>I80&#&vCS>C
zZ*K^oXBzMo-C7<0A~~M59tNPi^Z2Fj7JhIw)cP`&g9iS%wPYCSdL+Z@j9}x^e+brx
z*|dyH*Y8zyNxIM`M({q=u+=~Y579POEovf{69W`B|J;Hu{jf9QG@hT`V_*d7v(xgn
zUcj^04eSif!piQW$?t+Rft}QI_1=c7s^UT(o0c<p%(g5kcfnAIyU~MB+W_|K1Icm4
zt?zU>qx<($#@%<`DqKejUeC`a+VbVV(^x<)gtDw>#i*QaDIp-_Hci@aUVR(SA8jvU
zsu}QlL!)@Hee|4t8q+Pj*gi@C)I8c=#CoW~Hy8tXWZ|xPpEnhqG6%||atYJL#c&JZ
zz}?@CtuitJ%viU&MHDGiN}YmS3pLHNGWJ0nZ>*!ZX1PUAE_z9<1=A@fAMp5PB)OHY
z3!B#W$%e6VK9_39Mg<h3oxTbt+Boa`{=p=%W~=z53IC+xv}3CyK+9k>91e$@!+)rx
zxtZJs{lQ=`Al}ivf1L^tPz7RqL$0@cy?zrPWn?=N8y>!GAGK{Ks9ag9wmUxJ@7cAN
z7Svl*_0xjeIP<eJXL@JOoH=u8Wd?%BT<;%TdATp(myBLW`m^3=s;bsChKPN&)Qu2X
zm!{tXb9=oW47Lz!#N!+fmSnh${p9ge=>IhbMKFSX{1n@Kd-ynZ2)Iebv(g53-L%28
zlx`z$-~-57x$!sN<*`S7y28H0uio^6jfhJD1t@?%^kcQ=#zN22=_3WA43SEsDIEPI
z@rO<6P0Qd-mejSfw_ksLMmvFk#Digq8b!&%%c!j*p{sy<r1L6UC0cfDW7@3*)%BlA
zBVR-4&Z<RZ{Jc)Iy=@$lQu`0SgI{cHUx14+My@uj4#lV2XGJrU!Cg?Oj|Xiq{x7Pf
zha5B>u>I0*M9{4<>-&aF==~N^O!~Qo9A&qwOq(WNiZ8u%DaNK*!aX)yPix0%0N*C6
zt#)sJHh^NR-KvK9?XtNroV_$&!gwjZbT$lgJ`^{B%}DJYYNGw<MD$2N3hBj;FSl$`
zRCraoZ-&?;DGxiGc1Y*_CyEv!MTOx4UmKF%Mr%_Tnx3RjX?!8MnBb+%x40xjJnlN=
zf7_0cx;=(J_~}r;HnNiJazv8hYzPJ)zao$z$t5NAZfw+(u6CAfoU|#aKff}G6h!Sa
zM4~SrE$4?8F7omM#tSk}s35B{>p3}<*B#Gu8L#G?9+NdHP_pIEO||pNJS7*K^7j5f
zgFKTPs-~$8nOUY}=n8KcbO+;jo?|<xVeyJ?NT#XFk@onQyz-MP@>c6<K)K=m!v*)k
z=g<k{<7THDRtu{Zeyxg@?uUffBQbCzUtdlE#ucLzvMb&`0Z0X>H#d0R7;IUAg6&)X
zNoHkeQb3EE9lF3#8qwwlu>o?Z7D39F!P$RD<&?h76ze);kh6H?@6vZZ^w2{Z$rQ_G
zD`$8Iz(=$Xv4^hU#|bsZ)`jE6xhWvFnu_IXhX1AW&2;&WN`tTK_&#&^C+b;@=0J&?
zUGE)s$6?-WYYASiAvL(G8!Q8Lq9b)@epri-9NB6ms3ylAH!M2&g55j`gHbr4`mnzb
z27;>YlS_U-kyWF(01*N9p{8v&wY@ax+-VelO1oq9&Jrn1P8y=+(qm3oaVwRIp0A!q
zM{gsH)4P1b6jyK)>411eG!1|9J7AOF0c$4?Wz@Oz*<MK-MojbmMUr0HCfetvlJqa0
z#<DS(QzrZm@oHR{-~K6Fgr|Ij?;t`u9TRn8P{qlgLN8Yft5pX#o2KFKmzI`Jw^O`V
ztc4g)A{LZ*jo*j_<+*W|#ioI@+*27y%$@KCnzn+lTcg!7>u#iD&Q5d>LTO1G5SaIQ
zwc~aiCkv`PK1L)CajJc?`HIsVr`11Imt}E)7TT+!7~ZHBQWRBF!%o?BvY}ox{ImSD
z?2|+h!v>*ux&+1?{$sV!YMJ@O?%p)vqh4Ed#`2f$dQKE2z#QJneKWyDg`F;XAzCKM
z%h637V6wIE)4;uHwoP^;Te|JHUfkE{27GjEvvDzXh4>9BpS24qdE498lMH<XpJvbh
zFdvoF{^iy#@4s;2B4ax0@^*1J^=T3@Ie|_(pm@nt2D{fcMo=)D#p|w%anKb5v@ulh
z#Ibg}t-f}bwhpZ9vr;;~4LZn5xL_<Mbr%hQ%Ty*$Bf53J@V}ufTRm{3>Hsj!q%-w;
zn64fmjvEao7rYR9gF{1~suncr{>73g5iF~~OasBn$Pd;mj}7)(IIu-%YL0d_+Soyi
z4(NGLvir_KSFNllzFH?Bs~0-ZG0(4#d|ldL%F4=BFu=*um7>z#L{>P^ZpSaQ+HQ-9
zlFg>YE0+@N`_uV9hYa42ilgPi^A=KdSd-;FQWG+;Z2iHtb8+dl2X)&57&=ta?(}rz
z%$=G<o#}!yWc%kZhWDc>)YKr=nC;9$c!AJ464ZMz5pJbjADW7eg+B4yWKhAlV(Y4I
z0+_n0+wczROb+7eZz{H0Q>tMZ%=ejL8R{7FrGJ2j@C+)T80|x^X#Y?J0K_y%6Va)y
z)EqB5|JXn;>Mra#N?H?p@l=Fg{veEPUDaoExm<2mS9N<=#kOs`Vi~HDV4N7LVeL#_
z*Fh%yfeY_ytn64@+p#jM8kSLMw^vr$?TTR;>ZQec)NDreqN>~a+`)r$x~;31=0*4a
zk!A3wf$+&%Ttz$40rU!VDw-_$5q5!di*s_-h{hVpX2xa(<G)ER*2q>TikO?^vO~!t
z99zLdf;E9``1QyqqBeOEBjQ~3AU9j4t~trYet&CnaREV5m_FYI<o-6J`xhq&_$wSX
zp3bK~Ek>4Q*~N7|z(Lsy?{0P11F4T1A8o=~{5wYUUx<T3YYHu(oe|clA{$OuO=5m#
z)i8nEfxB4`$p&iKnZ9Y7znig0qTk?+HY$>w#Mmk98OIJYcX)ZOzlkeeHqKJe9AR(L
z{A`B}4}(5Q>NXhZu+H1=F}cYAHvWzzKIpQq#4@P;1^76OP;q=oIxMPj4O9mrZ`yFl
z5B}ah$lkOIdFKJk+O&&j6}45h!9gfxFnHpLCkpnaZ9iZa^3JAJetsQIe0kb`iV-}8
z@>W#kP&C_kxEem2oJ_mEP*)0hsBtQyM~dQl$9US82*-!RVH6Eald(ZQKV-}_Cr^RK
zoF@wQ`NKNlyuEQqHw91Ld+)t--R|6NjG5+b#V{=1YnqIG_K7E+uy4<tPx86v?ZWje
zwZJE$dR~V#2&Gr>$g>IN9WZ?nu)|si08hampd<<h*nr*Q4&6X8U|81(CR^}N5x;aC
z0fZ*d!~92*DdHG9!<XY8oV|Ga<l8q4+6jw>Fh)g$><eAcTov0ts)Uy!>`CHV-zrLU
z*z9uBt8YvW!*i3v9_DYkg~uK|cegt_zG)QO!(;(nCrwEDaWEOO?#JV}qy(Y{tP5Q+
z*kG~~SA2q}eCJRcTqd_CWuu-S0LM%IrIgtvyYMf6Mwx~T1Oqq2aH|qUD+Kz|jY)SI
z2_QW{zhBzFzhIZ_$tVbdEHe!1N2zB?2BR#<XOYBn`g{*h4P_D9$S85-QJ$4$Iq(|Y
zZ`Ox7dssDkxJRSq7}srj<=7D?S+5u6bacQ4CBu5=iL%6>P}ijo6|PvOJb5g(MiyTB
zrV0-g27^Jb2mjyzIFqwQM@c)-GLtvIc=jyp0RG-i7SK*_KncYGC=3Pm>i85^Cw4yo
zvc$gq!WpQzvB(i7{TUL~qYzQb+8Z&pO-fT{C<a7`4aIR#0S%@GgTcmY9gr3*ftgyj
zT{TNFAV6C5$ldy4xYO(~8xDt7JW+cRX~`{7O}IP;2Do^MlOAJ-KqNO5>s4F5e`w8L
z<`O&<Cp<}JAfuFBtNMVijvBWjq%2G?=84_Fj1gV)byuLu8s+~wvAfBHqtUE60#Tl0
zkl}H<QIuulk3ugWL$LbzfOF5fc`P3|r_5RQxR3=wkV@wEsr<Xax<Q(w?j<XXeNTo3
zfc>H^?&r&=<9?={n7AZ5mr@nyyh<-mG{2oBBpU{vfC;r~#xP0eXw2E%%$FY1lu(BF
zLH6in_^XHC<n2#NQUUP*PCV3%%B1)Y(qlbJqS7*~ifRl+;>xuR>N|cTr&h#91Obvk
zj_}j|$(B=xNY)!<n(<OvTLeIX)R$PEb#*T&y=Zd;ZwqDw8dvTXxaKzkQr)1RetW3B
z5xKdAk>%9@hL@cFN#?^MBssKO;8)fp`rH1vp>zA`kAEDqZ)KH}*n_#MhuT+`H%dAF
z;Icb8&HIVS*uIDnY#<%g&?=p*zP;b$W2Z0<N{C)$z1%hB5su6!^W%n|;??%K0~fv^
zVrqECWp;CKwtD~z`e0*KY@BLGW@y^?!a04(a}T`*jfeJc|KYwb?)OMKE?<XYxQky+
zXN(U@59EDJM-qWB0VzdSL&^9qj{~~^ctyAvd|g!aB$XrpNunn&9DhN^an&n)RMV~$
zd0u&^!t>&lyfp&(^5MPZTa*fA$VIZxRyk+33{Rf?`S7bM{Q1+byb?O!15u!r!4TzJ
zZrLE@xf-~OY$T@W0$ebSyFLPEOF-PjTZmf*fMFVa#`=cIS{Qq^rl`G*;;Ow&HixF1
zQK>!5csV+0xo117NEkn3KeeHq22QCy*8vx&*y$_1bFe0<8aY~!6h+D;f$05<jELmU
zACL@W0It8en-%4r3Z?6+rh%p@n+oMI!Bq9<`knEV#=3DluI^!|^uf^Vkp;ylDo^8R
z(T)OY8Zt7!(o0uYn^(upiq9G2m5i$>vUd}Fl%q;^F?G*R^Tn|U#-XU~ZQ?RrJ>KLA
zhq&9ldZd>>pVN0j6CwKnr7Be)PLMm${vzr03H#zoC5l|CW1YHDRH-BlGCIbBayupq
z2hDJ|dv$Bio;1y?YCcW(>}g%y?P4~16syumSF1pcyDowk;nT=OVT7Q?XN|^J(xw&(
ze1nOGpqj?q6N8v--YA+=A^<_e?K*r}@Dt1Ptm#)xo2E7S0p+K8Sz*Ujdj3`CFN1ZY
zMPkTl1;401e9$zfUo~xco@M=lYR8x&^V2*%|ElvJ3EG&zOp5(|bI=A7J@0{El)pFK
zsO#X<xilqpT#T$#M}m6$Y}Sbta&aFaZ(dfw@5f+Bxj}E2$Cm%T8KqfOzI`p0t$5pC
zD0ub_(jPS5(RvXwxc~049^itojGa+bk0|i@{MZLow@m=k*2ijTx&xzB9TQceP7H4U
z?j!keoUw_=<q`VK<ru;JXc?iJ8*hrDmQW7Dk$4MUyaxX!%vdDw|7`skFm3&rk8eGr
z+a^5O9ZXJAAG^b$lKR*k*9zmL&bi|;Rie(bvB}tp69<mzWG0%+g+1KZjs2+Ob~@cR
zxojvxHujqt(Rk*WZ|28&)v<1y@V^}%o11&=c)#Bt2D!3C*X5BaQ77-`{uGAr6f!*|
zjJr=_ojvSGE|&wy<#G^&jQ4uB;7O*jsmW-HX>5}f3;JeVbq|y!a7v(uFc7M@WUcBw
zJ6`<hGF}|C_{VXgOxP368jkDkVb;0|l~AaX%up?c&r>}WC36w=#H1UO^b3pK_|sH7
z#<lv5#rV*Nz5%9fj1^^UoTk9_YEx~Y97j|-@Lz?|5);<mG{n%fY~w?Rkf)bx>qCZZ
z!jld@a7=Q)`Z?iwm(juSJKTv$OtN8MtQ^Q1mD_bF!rOn{-h!{d2w9P1H%l7k*@`W4
z0}0m{aZm^L-*VZeqiE&HXqqX`CUZ@v3X&#H!^jx>BZ7x=V|^k7POd7tPujNt!3dSS
zX5hGe9;L5aK2K0e$Aw<?gC8v3D&rqN!-DG5PnU=@V+1IRvGr65p_=n5k!R7eOjgsu
z3Vu)^ePg~(f!q2J3TUTan#r|lB0ksQ?+c#0WK(1Ytg@~dT5Tp@FQ4>$mSNyJvT68O
zKmA6L8@0%AT>XbPjJL|>cjgTs2RoNz_zYHE(YVU_#Cak*H$zr+ze*zRX|@<U#4cCu
zfSp6<_S0X45W0X&-wbDS^0wh{=n~FK>sG5(vK`)JYd9QwXmd;JR_2>cm5&c)4ITZH
zdHsShUk9DXlHp=ppX)uvk}+-T_7caicxnFUzK1R~k=+%z$GrQC!kU>f^qJv?n`-28
zIiN%=xv@BIq>lVhlI3r`d3TOrPx_Rv>%D&tlYQvF$EOV=vc|2wosKnwn)#3!D6hKP
zsON!k9dV|xco?Exy5Se`Ljs~jBPG-arsvNRM(N==R^?<*%WAxI=;Q>}><}NOl%17>
z^1`W`Tqp;!7@r>8ujp(>;u%5IR`3Dt$3DQx)^BHxFCgB#p7v6Zi`od)0H9~aV??7O
z0S3eAUB^YYPW}kW<d304@F(}Q7ppHG6{wR}Ul)r*P$z!?wY{f5TdOX9Jz_Zd<E`br
zL2aog9>WmL)_*RPE>suZGpgMLu2`*2zC|sfN44TTBX)8olbV!_J~OJ(vUvR)50dKk
ztNP&C4>c2~uGArUe7a9_n+D^2-De{O=IMLq_SLc`<+$N3hZO$YG#~wX!8dmEAZu!J
z{_m7*M>^Xug7>4gw*EY377@rm-Alj$5bPTqJGy2_EErrGFJW+<Tu$bB3j-yD^oN&#
zW$PnF8DV}MD8ozfrM+6su?37RMIub|Ly>jc4wbYGnK5}olg0&-5?b}zlyDmI2D;oH
zeo%i{f6%b61JLBaP+7|U!C}W-2d9%s26KJXVD97>GLjD7uw=NO1emJW-&nNp<M*Qa
zs65+Qwsb!sFm~ePQ})#K&gF!U^&T8{mHo4vf$~v;%ZG=Zhu6G8O7?bveI@$MUTy|p
zGfhTmwq+oLasPhZ7-$5WXbX7=)dq!1H_3J4@q4S7!g1aH&wYe;L?%lMAcn3BX|A9S
z9>gB5QpT2v8R|o|ec<7(qZR#aG?K}q*LdAWx7j%EAt7w>e4?(0!=sDu2phBV71s`c
z&9A8p%T>Y@t#D$=_gvB4(7u9{X#qrTX&AeotyZgWn2XpPoYU@+=Z;nQjqWoiLq1=_
zNimlzCRo(^KI^Jt9)?iOVN+2jMk7vci~+gScitGztgf!|J3EVGdltR!Fw3ju^ML2(
zX6J(=y_2b^s}87&`PI$gYQ5FH%WcN>is(mkd+>g3s_X+<Z%S62VgTLYgf0*Z;;akW
z@*!ae#?EHbN_Jt`Ein$~{iw1~2>0|&;$>rTaX0MmcFO^{SQI$DPzX*zAF7qKfF3wk
zpx*RiYXuAMS}twxn3(~HqJ4X>+M5bO(J<QfZ7_x}qaX(6QI{nnN@m6{Vfr6}=vM6|
zx&VeQFqH(^oBF%#U5w4v441Kj>*)riP?}Db_UuWPrb~e5=MU|#1!aj?vX<9W&9a!P
z7E}#_AcjvXYJJgnR5f3o4$7sHpLIG^emC9eWIGQZ*+03#_3O16rj``d@O@KN0^j$R
zr%HMr&)vfNVT9_jE#W-RiKH9CWKswk=+JTdNaMywM&ig-Z>dIg0hW|pEe_mY$F6pJ
zCiHzp5ES1JXWH#uOaFeVAgJlA6JE&;u&km&Wz4CSN+YsuN^|)##T<;l_p6mKoKn@P
zFsxMl8C?+gO7}z@4WJx|!&Fux+oo!z(kR<D#xk`DT*bw3tc=natGJ%@_VR=*NrKI>
z=lBkZ;#5yKB=U8cILmSx#W|agV!gQV#**VGJf96$Oy=h*gXbD6yJj2Mj5H~|Epp<C
z{8U`7lb2UnHa_!A*lzDS+&u!$L_hcHa!}4^NSk36k3C+C>Gf>AJUv}a=o>K9gBNAo
znB67Imn_cgl;G(d_Sd#v+}^?h>?SJn`G8zThTfcG$KBMu4L7Ste12MheDx<bv3$|%
zzADQ<RlV|b0gS+&Y*=FPXklPOISSq*(1F0iHYb{{3JL9ka`+SpL`D!rVFWgq@}De$
ze-5!{HU2xz`T{}qobK85hSQ|}%_+---{sG!8rJ}QlkYU)eU2`oJtOMp-jB|rr=n31
zRE7nF9x4FHB9x6(A@S&F!lUTr$+&vZ8_sJJwn~xzlpDr%pR7336BKLGSA_#CrMQB*
z;+b;8m#(@7n@=vTa+N!XL9QG5jE4*cqnNLr!6+T8CU626>#QQOu#M<tgPnwLcoOxU
z_0QYWvsJW$Zj?FdfP4wHjib}c5VnW})vrK0!&6IXD(qwHt_g4}a#*$EgOvN>%?^;g
zx*^Xs%G0d??2C;?qdeWJG+Tx|2ew~h54EPBltY_L3v7VNH3;u?z3i2=UT3ZbflL3|
z>2&65_+N?E`-~rE$DsBthgof{eM`fRvuIu~5Wj}FOOK0Eydsjayq3oQnC`^wxIHdu
z(-BJ45><@IVTSbDc35AK1&+kv`9xD_k=R`Og&nQdR1qv@npl<z0OkoR)RqsdTL8tW
zR%-{%C)&?CpewN`_BT=?iM&A}^BD^}i955o^;B9}SU?f2SF&fuhQp!gr+&y@pCst_
zCxw7QxUTnu){V4sG~(fK{yuC$AC-KyE1-}<<XYXXzX2+50!IPGG2#u8Y(W6OPU&m9
z{mb<C?l$}5(s=ttgzy0vq9%HY&!;)F2&_XRKT-7l{Uo-G{scd<`za{JHVtF!O&S{#
z4R5;*oQ3-|K(RPG2)3c?mL96`FAPx_F*hB0%{E~C-{ezxcRbq7O62Zz645vIrY>Qp
z7=LL+Bp8R4h_ebQB)FukCTZkgi&X>O=BNrkOKdwo*%AaB0&0ubx>d9tVHw0l5BtbD
z;CW^e8!~JfblrY3$MljVX!bRjMjmv6y~$zbioTPY6)fO_BUC}iH|<e;3j(PhU@a46
zematoup>r>Y})~5xQo($hL+C*Mh5JmO}6k_AOD$Sgi?|cGp4r4B~=#*xpDH9M|So*
ze*E}xu&m-81-oDu|EmVc`)|(JMcIN4OO~X8Y)u9)+P2P}I|n)6#8eA5mUL8RJYF-#
zPw8G@f426r3(k|-_8A}cQ+U>!w!YJ3L(7$eZl8eCxyjFbJv<8axi9dC*(JjWGPDb!
znlHk=!|J_)HsAroBJdFS%0K;cairhxCy8-6i7(HGFo<*Arfx+8C8DIr@Wl`oLe)|_
zGBegys$OIFD}=f(hwz{h7wz$85!pcoeZoYmf@CQrq+0>jObGNGRGNV?>O=+Q6%}v#
zmrF}aAHKb^uu!>usIy-JhE(grx|Rf5r97r+S#Vyvkv9&9^7(w<2k<jOCR-5LMNQq5
zD#^3rCskTJbxZ=dOL`%yjDR}}^rP<hI-H^@D9<SF0mVcG_&Th!fN8%pUc%D5iIdiz
zz2V`8Oe%#b^N4JJ)1`PRzI3YaZXyqFJPY<3q#^;btBCQ4cOK(A;W_k5^g8ry^mDHI
z;A8+U_r%k{#yYkmeCObxQt|z}9kme{=ho8r6=_Il(_o_07xmDR&T=HbNEPEn*aWW#
zNCbxb{sBou(VauUD;f|}#)ifI;XF23O8qD|e`7j|!1J6S$gE^IBF|(+mUUiqj453f
z1ditg)x+3R1)k@4QP!snN928Wm$GH?i<QZb)`w+XA|fHGKsBkPa{!!Pk~Au)gos4a
zWk*&N*^zaL2-4%HNkU<^x;ai*d3$fi4jhF4wZY`mnUX2FM%}VgUo1Pk_4hDF4bPVZ
z?g1WosS(jXyG9h6QS<x|+XKkKpbj0ib!X#try2upj;u%Z$a61nrTRm=x{4tZDG@mU
zkT_ncPBEpm<07|f_X)e(J+h;vu&JuTa}<CR2^Ay2-R?DT*ZhX8F6c59H~^x^0E#I3
zuz7v2M_0lb0ACap09hdboIn+}uzDzti8RL!TF&;T;lq5VbRI&MqK@Fjnf6i=LcqE4
zq8`P-!I)iR1D>0dA>h|Wv6f65x$#JS+=t(Kbac7$VABqVs4WTnnH`Ea8@MA8lhjXd
zi5)V=Y4Ve7Qw>5mD6PM3kKw+4dAD6y+hl1WR73|s0+lHeJVwR%n}#&|I|0t%b(NGA
z4+JV3ld&OF0lXD;no$%Vn1evQ&zs8`r!!4sI+vB-%zug@<R$%bT+d=#dM#~ttSn_@
zfZ1kxoCMMF0R$NkgvbO7%b5|~D$1{M26=sSkyAtsvbvhIoY9lk7!&huGyrFf-*b%~
zSr9+#`PIqzon$W(31YKolNZo+cURK@9yq3>f=5{vsDqI$>qD;6a!^<?c$M`?FU$>~
zPyQ1`LhbR{FCLdjG8jh;Ejq<72PhR{d^i8I)J=8Z1_IM4bhjJzD7@vO$co{r=a*9r
zK_m)2k;-$)#@1F`H?Dk>hr#v2O08Bl6-7}D3QKNy9iU(+ilUh1TCH03T)^H<+}>Zz
zyRW_WTEduF4|A5u!@I(|$r!noH_g0L65j=qguMexaV4-UNl-Q2P>{k7pcuNQ3X)|7
zm3ZlZhb4&){2krjYE2szKMdnXE5>xIwLcESIYThrK$oHGVvXh?D|l#CVALbn1*`xX
z1Rx0<&4HMKVT2Vl7|hPv$)&Ya4YqjFbaUA|ja~Em-y6{-g_m;$#lJ^44D)%)pTb=t
zyT)6ehxeeR=q*9^rL78S0>dO37C?M$9cDtLZ~))*k+_JIssS1DcM_SJmTj)A^cLnF
zoAEp+a;vWRzvqIoCNRe7wb~LBI2FadlW-!(^UQYU7kVozrfr#2eq6b%m4i8r6WCI%
zrgMx5aM{BcK98b#eGrq2omy#VZjnSIG`jxXA$q^4G5uH(!_J*I-0+5yoa01M?-%Vx
zXKpqhyR-pM>7vNx<kA~%xMAl`z{O)a)5HdK<NWMgr(qY%Pr!?GK8j;0rK0dw1=WZl
z9Q9y5LoANaWKbpNI$mNBN09S{u1i^)aVoDvhK_?Ra7exKD>>F?vePZ(Wx*lF0-H$<
zqdKp`uZb@}oYG(bKg1m?$&oRBpJttMuNlUjji494S=*LHRZ~@75Upx;fdP=Ca7yJO
zgnJ^<R9C(Ar$<$_n&$!kAJgt9wr4OxCaU@$+>w-PDv+J1qOqoXaK|SkS}Ri*Migaf
z$LMckoc-;R1=FUDCT$(Olvc8ozc3WuHA-5k+hh&S1Sm)JkKu)STJDk1W#Rgh+8f0s
zwMp{bt^sT0ylEV7O*}1@QOZug{N-t{LVT81>&o?4F-k@9EeO{4?v3hICQY0NR53(?
zH3xd>%U^!F&S|}B{mNEL`BmTXe)9oAJ=(ihEDvChsDPOUll!fY-$MJ)b=>j6>7df_
zBT1KD7^ZR8N*S;LMm2R>FRD<V4C@6Dl3OtP#Dsw`T`I;0&+?oP;6FEpP>s+f;fM9o
zXUU~-VD*=z3k&BY8qLjx_e9>sfpAo}geFnawIiO$aHX&G?4PHb!WP)JF<)D3CA4!c
z4TPhT)?#hmux-x$2g;ghx|7nKY1)L5O9@+;am<eH>lb;9-R#h@XBHTt?wg5WxUON4
zH(!3=efQnhaJ|0gHsI^}AIrwOUU4E3iSb5G+ud!$OV<)a0=^)vLdu^#mkQRx^B>~x
z%Npa1-AtyOwMXMQ+G<gb*Y;Q(mDz5CW18G-${OSK?S78M#Rn5Uxo=(PAE9FaA6Y7>
zD=?%pJ-icLjUKUj2W{|eoj4)O<o-L3B&9XZu!D|F)~-8#Q%i0EAVu)C!zF^K&q6v#
zFrr57!i6Tg^gOB=wK0*Omh`t6b_@WhVyh~p^Jt>EsMb0R8(8XFMc1e7hygHEfOFh^
zGM^;%Kz(L8hG-hD#c;E^wtHVosa>kkF_aC`zwF8N%8mp1>%-|C$t)pO4N*j`?DyCl
zcJm>=4m$NTeAOY1);Ot?92^v{cjCyU=R15=v-f|Nl=`<=pvm+8a?qQJGkd{brh17s
z8tYX{J!ooZhc?o2J6_@;u|~3#f)$04r!YNp`l`YZvDQt;M((iGOSkn7JZl;9HuA4V
zl<3>S*iDy7y=7b_z}%&TAC+N;1(DlvyNR#2nGFep@_01Mz4isu`;VsQ=k1+vGh`@d
z0<<IXvag1yiZ`Ss4mCH$=MF+HB2*Dis-C78VYPj`PX5C*89Vd|4`c5WhZr->0b_$P
z+VQY^88gj8*z@oqPFp86%>ivoygctQ<hc6k(eXxtQlo-?FD?K)J&%w>{AV2GL;uN2
z84%g|C2D0W(@KxS_vvlYK5-qhgrw!4U}-URMy{)dPBr4p0usd_g!1L#5u@lBGcuaa
za3Ms9&tdDc7{TY_RHbLUca~g+USj2Z3)LJFs<Co7i9I(Bh#SG^$tR<U=X=ucC@qmM
z)L52bI*V|PKBu#s`t=CVQ4u2s>Hvb6#LbKUX|bCo(C0qIai8K!XU?3Fq%#~hIDPuG
z(b(Bs@Xu~;Zc@uIO+_(H!=m3kefqS&(A?QD?m2Vj49A_3q)%IPvuNkOJD!G<{z7v#
zGER>x4uh*!vZp&%%E7C;X4L4VjZjkZ9$_QxH6pY7s$i=v+l_RK=oPzQGw<B$<&i`5
z2nlahIq!?fY;5G~5{&3btWx{Dgn2bhO^$<$oJ7RS1+t=paJc|ja{aYt6U(1)_VmIj
z=M(wT<RTW<%@1+2x#qhP2Jtch^c5mpE)t0oakIHrDtz3TavJr>$0-pC+x4R_^5<LZ
zpjnimqv&;7+0&&4=6i~EsjIspO6yIpW*ezSem4)U%EBGPSN!2}=XC8bkrmQl%rw1J
zmn?5t&xd)+lxDm|e3due8hEQ=txKd~nv8k7bZxXKI#~naS#P5Sfnof;5p4hG_Rp~h
zBUC_|Q)rJ?7%WdE>X()e-R00{!8DCbdsdg>VZm4P?X7!kSyG~KnMeE`T4SW4R`jq4
zL<W{oU^*{NwR%#i5}m5CCX(=fsFMPHp4@)^kmoiwHVBM>^t$zC98RGY=tgcsQ25wz
zJa)KaZrqt11{**c4FXc55%^ThIuqLvEpDD~Bsz!*W(ZHxC?*yz4L)O{@S!`j_cqnQ
z<2b^Yix?%vrHBwtS_EKLH1>omRp{fAl=iV!Qnw&_dUx3h_6WY8(vKJMF&}NCgFfE$
zhGvVEaazEQNQI7u>-l0x8}&$-EiL2SbXk#(nn)t9FC<7l%RtM$7c}j-Kqan68%+Ta
zg~5{134-`+?~Z4GWMeoxi?N%V3(I!bkMjwf(}#M!cSo?c&ocQ$9-HavJ*!QA7^>|Z
zR%_UHYpaSPhiAKM-+c#jCNK8tb%@$_73b^7OIh3B#jk_^g?6Dclt&7BVEik90q#tx
zi^`jkuz}}9*d$RcENr}AJ?*|%90~3O+OsdEnYO%KSS19n&CNy2$pTjJqy)JRoS!Or
zzJFUj2=Xq*CXis54TUn#*PAOlnuEXnWxrMv6pU?s!{g_d8w_2z?PJXyE6tj~mtk^r
z91L?3m>9eHppv`I_r20o9xL;p<M%37@WOHu&CLyRyZuZ}6<R0KBPVXmRuKUHXn>T2
zwAHJmtz?`z4AG8oV|Et|xFhaARay|CSe%{qy_uQjTC?eEIX#$L7>j3W-BvZErlqD(
zGUK^kOq$2@#>`B+?L$0NPqK(Ii35@A{m7hKMw#WpQ#I_x11K27T$sk)4g^Dw1umwq
zmBDsO(EVv{ArxE|^fNpBP}Lse+IGLCZ#pJ$VpF&7FY<T$(*5_}fB#Im*DKH9H#A@Z
z@mhdQe<P9a(klSMD@$pp+-$fE$8Euf4#s!a*kij<6ca10iawUcEQ+FtXz;oR1m(78
zN0IF**!o_y%K;E5D2i7qd2jUZxZ@75RPq$%?b(kJ(gI2uZH%I~IWcNTAM{RGP}DTn
zedAm1xZ@7j)wH)~|MBpZ#&OS`F2azB#}iCIkuEMXUm$ZwwCk`OaiK|Yt79(QefQlC
zTVoz2A!jh0ZGC+`vq|=1V9eH-^9x=Q7d_0jQPAcuv6$cfB76p(MOVzTiy+M)di4RC
z{*^38Df7y9mLs^u&gbptf}k=#UpYq=g-X)7WbfXj-F~jtYSqGU(=U~L*WFnE%5TWB
zs&3jg++u_ETxEW~5(MWYi7E;`*KQ|!_a@JUVXf7wZMv>sD)}4VF0rAivb<^M^ERJT
zJ?7c0J8=)oFfL5|a{b1ZU+Mc7n*!Pb2kCL_%k9GNk+uRL?9gb)<Ndy1Uv2|-{D8<i
zbd=B`bY*-#6cm|xMwRuK(RP#{O!ErfjG1_}_291RL0~r-<}(&t)&=-W-ly+33H=4c
zhwmeDqN1wI9vU_FZS-2Nl-*v2HAV84sQXZd6|&n|(vgkbUT~Qo<yIeIwFu~|@p^`2
zXTn!l-_N%oYZ3_v@CMqa&|Y*Dy;k3Jv||D^`X*5=-PqMPs`E2_k2uf|X$Ew+F&Ed%
zT?2RY=8P~E9Zd4@9!*hn+f-D$RPqck!U{b<MPm2V5_uTIu_Mci56wG<1NN~u`4>es
zOhvbiJb-WeIjinH+%K7?D_6)0xH;};zrbqd{{$mAkM?=ygX!5kil-cjkD0>+_!BGA
zGM%kQ_0%_HvsRDrs#q$JUeaZR#AM+)5mgNjW6yuLP^$D~$C1OYdqt6Gs^=;P(jAOv
zM1EODF#hNbe-F~KCJ68uf#atuJ?1zza99+KySfR?@w}bS*$2`cOpq><d1x0jCSjhN
z#yIpTuZ<T#_5BPWEHOD(u1~jQS+YMz-J-@MOhf{J!FMoM5&#1s5~q5(tX!1j52H-e
z2Q_$1>DHoCg)%t~FQLFzE?EOTdf-Z{oIzr14av!ja4)N5dcGJ#S%^TX6%Wt7Gtqmz
z^gFY`$1UElAL~>F93EHxs!h2dTUQFH^_SXI5Nnqj&JvH%pOB440$AMvNA)V1498xh
zjQamL>!{z~ss?yc<~VS@IeAn?$PaNwAH;|x8ftj*g915AAz}d&q{s>W$;o|HxFTwT
zWqPy*rx^>uUhVL#&kyxi3*aHd$(i?FN#P7X191(lM%hV6ur;`Us<w@~2!aZgwd~97
zLZZaMvyWkrB+2E&i5_VI{l3`g(B!up5iTG?25_~sXMtU?FSh`9K#0FT{Io}x+sb-D
zriS8yX~H;u_WV*D4Q<Z~7h!M&Xdm-w8Fk~(X=05ecEizuJ4<zH!2{oEyQu4;KFI?0
z$r9IzvpO%$;31OIAp<c&SI}dqhZ#rxQ;**RBitF>KC%e5Uql%kfH~OZ(C>&`f{O2l
z-(`Bp2z6&7&_2T>lnxEs2C!{o_#Xe@Asm3LV8cQv=a`y-zTX3bkp4s;t_>B@7;ZQY
z+zAdJylr9>(Y@lQ-;@vPC<G`&ML_SNczTH5{tqEd|NQ0P+(Q;{W;tO;o2Hq>W*k-~
z=uO_lNr*ud!<Ql(jbJz$jYjghY$ohiZ>L}5`M=US03&2$C)sYCIOMY%X=>UCsX%dO
z7sG0FcD4?O!@MSOzJ<4>{*1}h!{HL<C5g|!3)PYD)miuB!soE)|Coa97t!%|;u`p*
zZ{ffK)?heyh=4H)j0xy4JXwz_guYHtNEw`qGG^BLnQi~ff3&&wS&4q;O4@kn8`|i7
zZlRqTT)1%I<g{OSuco~hfy}+=Kja3M+Z=yOI;<L{(E-G5xxK|zV^nPZ6;vhUzljZW
z$BE2}mzf+YB;oQYGMYWEpTJY)nT|p6X;0l7TN4k}>xm=SBWs#`C#8n0X)=Ek|0=Nb
z=yS5B$pcE;zpe|fHdg_jrSwi&(`18E{wDs<;MXpbElLNnrpfJJO;~NN$}IawEpC4j
z-Va}?bR+-C<$U+?m>OL5hb4uVQQNh*kwK_CxSZOq4agvpck5;FCg0HXE!}b8qpzgD
zM>0v{H$DJ=1St*lp}?}hI>F=sH7*O|$hsBCb22~VIj<YI0G|3?D4ok0I!KG0uTudz
z_s8bv$o8YUk^8ea*g`iH2=U*XKIIVt0*y7NYyjDQG-v34CJ130srBwSx^M6b#04yJ
zZXpshLGWaT)X8hcJT)B{0eO0pPYDYuW^L<W#cr(=Py3vA>V^Xc8I`GGS@yK+iacYy
z=(^Ld4`5rCLS@Ph9=L&0W^3RhEsiQ!H0W;*78C<CXW!nCrDj=Q<poKV2$<HC4xsCh
zEU#Y<kyMEn)P9z!7Nc}>LA|}|`=F|>FjI>T^D-E>$5fKqe@PW(u`@1;-clY<V)J^y
zAjnuf@=@uHyBTK;nr2E^(A21At(;WC#3UEDjIUU=Q%zn^I?UFXbJ;A?I0MFbx^)Go
zXp{1g(X_rNW0Q-<h4PqRIBboLxoK{`CmcP1F)E`r+B;HMS&l*bg%rrBo$eHSc{!I3
z;Y6I6BSgE8Y+_kxn1Lis14+svn3kl#9Ib~puL+)C)otBp9KCQc0!5i$A^DoSGOx%G
zwH(zA@rT{knMgY@+-O$krgiCX1VeiXWvC0rNa4KflW8huT|$~!n|x%o!^g~}r&Li~
z=^{tUWb?^r743w+9_dzjVh!!(*Bvhl?v%MiAe`TH#UGDo0)`bk)*BP;<zR)vJZ?7E
znlm$=KRsJ4g1Atc^0QSk*|^f?*OGPZIdve#vo$kg@I0ne;(9Z^fnk<O!)mKrn}Mf{
zk|jf7kBT1fF!mmZ7(jaI`0VU~+E2oFM{pA#YMqc&q-g%R!e6C7J^G1t#@6p~)+s}u
z_7Z9*f78ujUD<~Lq8UMDCIR$hLNNGS28Hz3J3f6ux{4Zqs=pG3&<<g^;%dxVSp#ms
zAnNA5bzquH=}RfK6h+&yaYeBNjHT<f@efU{#pdp#cQ+TUL^Mp_ux3^+Tj!92uA(=5
z(-2nx_KHlml{q`Ftut};;bDFD3u&tjpGPm}NQIe!R3s1!qSd4-A@(!S8O%72P8`*9
z)H{-)7>7$kM_%wKFNj*9%V`VKW9O|ZII0TaOe&Pi3+-|c$Mb#hQhe#5I2KpJ8BkTH
z5PU@6--yfLgPNl9^satv^)Bi%*Zl-uBBtTqwK_ki%@?OeIZ~obPV}uWpt*QZou6O5
z%QZ|Q@q(y*y$K1Rnc!!)kCBGzs5i@@lssQD@mfhKM1yA+H#Xx+Y{s2Xb0lZD!$9B1
zfr7Vfj(}_spUPmMU2lt~Q+7lQ!f?qYA8Irj4FW(Kjm9YZ#WjM-2>OA4j@(`@^ogm!
zmv|-QQ(k^XJePjI!^X<W13Pcp?smeE5Z`P?+_nKNNm}iEhe{f0gPnm(ns%1icA-%3
zFSgbB`BnRHN~PWIYuP&O9<f*F=T)0gI@vb1$2X{~N=j%Urjra3vq|X+B`1-W8+3&D
z_IDS+yA<w=dX{-HjPxT#C}8r#9DSr<lHr)k0I8pY?ky0K+?M3FlJQ02z=tlbj1Hii
z(VJSp*2HPB5#>j}NiGfuK@(&KdFA?_(p9^{{X*V63Nub>ex?&ja6tqa3CAuLvg@v`
zudi=72@G1aL6<g~<{MpuHUG$i!Q^=zaynPMsh6(T*>i2@$2Z_Ydy3NNjX8%v*3L<L
zIc_h;?i-JSH>Q`uQ_q9Hl|4G1bZ6@2yDqN(<nAnma-)$c6Q$s9IhEI|t*P(vt+zch
zC-C3JW2B)7_0SPMhGCo|Rod}Ij+?cV_$SK1ZEMU82TX2M2NksvQ*2`^So)I~DQN@{
zCX!bs>OjPux~IF3lT>IUDWSM@iceRrK-tj2QJWh2X~?zlU0XvKqhs)3j8XyNmaj+n
zU)+XsTq-bj)kk9Rh>R0J9}d{7Fa6g%k&kaiCV0Lf<J4(YImrOnNku(<%CODzaF9~X
z_VFe4%qD3XNE2Ixl%=(qHmlFH!PkkdlREFww!V}yIVGIv>2w2oKWS@JbkG$9V*<~8
z7Io1+bOkyQ^%CjxYlpdl*FV?hWLz+vE<SZ^n7Lyw$!i;+?j4&{JQq~Wz1nNudqBU}
z>q(#{TSr))y^sOjJp*vP%1Ph0<XZJ&xis|ulF#RP>7)wh&KrP~{v?maeRLk*Asc*K
z3lvEKP1!|(Ut!|!0I=1oWHJVGvF-3=(2ESjhs`@rojRp!rC!&4Hh1A=;8;KH)wS88
z1=4?Q_E7e}3^bC*H~H!>6Y#4(bqTHh>GlE7sF9Qa;DVdPvn-|UBNI#E@u5E&jaGS#
zpsNo*yc-QgrL9AIc{W1`wvIE6%eC8=?I!R7a=N;kz>g2~=bVf_i%%mj^@x8{_f@Xg
zZpLk5N3KqB@^!ub{OJ!0yd_QC?-<*HQC>O_a?_EV;d#B5T#?dKxJk#3vx}eY8LkbC
zpR@vm0DWJ{6`6L;rC(h%rqVzVyzfe6hpdbLe?H#NvkxQ4c+hqI+QDrC=?BVtKjaKX
z-_sx6j{I=o4?54aUBGW9X*AfxDx-+&Wn!GLQI9HPKvfu06jz6@^*`JW@b4AR1#JH9
z17(hAdqgD0(a7a+Q{Z})=_1Q;seFD+B(*GbXcDC!PA~j?>>dt1erWW1WHQ)@`UNqD
z>!lpWCnldNymvj`da=%fUsQLoK1<^*^a{Q?Wl0M;13dn7*@-)qeP$3;tI4z*($bs*
zk?I5W$V#@EdOoREr95xfjhsYQ{7{16@Fpo~R$Avs8%yM1NIC=E_6O6g>_dM0&zh*U
zY$y7s^jtgH{?F}CVdRIAB#-Jk2%P0|bOQNMqhK!Rt=8R%1Wah)JQvLG#^&%$ioOJJ
zzP#>5NImxZUbv3OY$6p3j!j6h;5dX7i?3h5e|8E*LTsl{kcjQCl0yGYeK$<_TAfE9
ze*?VP5~w@Hq9i)YtCOF7DvlsVyoDhXC$oH*46>E7v4m$h0A%gJE3nz6&wwcbNTPDy
z@J%D_`u>;Tnh}`nf!P;yd{I{#%}u<Nd48qhdrVPfYL-f~v!#+r6-99r8KR4EOruoc
zWO30}Hb(c!rwlD5-E$0uDyrkS!x=|as3I>9m$$>hlX1+v{D=}AfHOaY(+Q6Xs|;JU
z-1r*+uM~8R)2h|Q#cEaKG+mGjg)l4>Wc}NmGa4tdhBb0?8oIz~(})2h(;rWL%6IR&
zh?@FAWX+2%+?np;=R&}e><k&edY?+dN`@CeVPo17W&0IC=PU#%Rn~AZZWP-F*>X`8
zwQP1lo$J-?+v-t8U_|IM?&}(LLQwJ&cV<XGo$Yq72J~v%HiEXxiF_|UZL)=@fy!6_
zLm{s6+~2SG&^w0qCpXwN5kf4zz<2U=%lrC%9K9QT6nz2x5d9nabKh&Fe%uOg^_iu?
z_xbRrkCgPN3d&Q}XUzu3?q1f{<&3_0N0rN4^Wd{H;DNbJ&s|;l+~eGIQ(xoi)wk&d
zczm`7ZmuwIO&VuCe-GV-?nfKE=7|ItI3_IPnGm8$Dk+zo<N;G-ngOGIUwCjdwc)||
zO46|ufd(td4Z?6m61YEL1YNthFyt+>5yA7*S-YEd+>RI;P5*WUjM4+EX;`n%P*Y<7
zPW8xv)l8}uMOf(;#zcx#&9!rLic%^2j;kuOj-_diozDOja!i_<%E}ej^$_l_&oEiR
zvUrI~*5rAYYK7{QZXm@b>-)g9?Z3I7W{mA)dsPe>#Tkg=ewBkmoO+OmkO8Oe7Ae7p
zdErvy$XQH<!&t;uJaOpIA^89n1o#f=(WOhWQGrK_E@+S*Bnu{aMEijGF(>Zm&u-O2
z>J^GTOM)tn1x^l3o-J%?JY=_j#6$Qz@=ym|OTUuh{Y2{nPrQD8+=WGSsbC>_ecFZa
zu%;^fFm&DYVtSp@6DN{m26#gQlW#A<Hp}3%oG5COEOy?10>*@bR6TyYvuOr<I<K59
z&^OU`z9&y1hk_$l$FmYXIG9&r?kbx`lbx`}3}Kz7MuOg0=evgasIEV18jL;qC}WSw
zyh<zxhH>^Ggiyd1&&#=-<GQx_9cjZkojssCj{X2+mhs?&hMALsbuj8=P%O^+8Y7Zo
zVJz5At>({W@YR2vkhcAQ;p1=?+4xj6vid$vZTO#r8TMr4^J0Dz=km%1yv8;d*--L1
zyqOnyANuXm>b1x-^{V>~6;eHMV*vqK(y7!PH;@JNF*Zx@wIqy97^i7^Dki$W|LFIx
zI<DA>NqG6ziivBw-7f54EX}?zBaWMUC^hTZ_eH01D{uhp@=8nIE!*s7G@l`y?pUUY
zB7vdF@R)o_yjPs4Wi1~=&`^SlJ`I}YmBRj9k4RhPZfKu}iN_Q38)6`lr@0JqvBylX
ztRjj1xg`$POj%p_N}SN;o%55~hUCP;ww0p2=rz7U@?yHmu&8V_uOg9VqD~?|v;&hK
zi3kieBe82W@{1NvP|a~X`Vtz~?-c#OlB8g^(^+`aSN(k6nU-#U{mRM;aqDZ?wRDPW
zPS@-8Psy!0&Rb6qseY&I=V#{^DiOz3Zhwcub9QC!M4{K~?R50+#?`yqB}$dq1i5H?
zjK=T*r1A*#8kx*wKuF>|poY`km&w%O(=?ejc^kKZWl(|i#_>_>nfbYIWr7*&)k6H6
zk}sl4RL^qDRLh=)AzVgpt%n_J;&tL1$pGt60B^k;Tu1uXILkz8#M}_JblnIn8{&JF
z(;`M+PwFR5=y&ncWysfGFB`$SxiGRQC5A;qUhkkb44(5e&Ugg&`q#6ie2$2Z)ya;a
zn>kpmVoFz*tJxBkEx|pFGfz0%tsuq6wT&`tI6@dj+gmt*CsC+FAm61VN+y>iF`ptA
zx9l(pBPWLJN+5jUg%>Pq-7enPuy|2--)C8m*oC|!Qu<%k?|x(r9(>`27wkgbS+_s<
zEx6Av<ef(>Yx3m!8y?vY2hoH1xfRznrUkB{z{P<3BN%RgV>lSM(z_G<M05u5r{E0<
z?8Cv%o$jV%Pyu&ndAC%+?#djs8g&`fp`8M6lThZGL~@E17w`3H-}P6`T`q>BZx}uV
zKIj61^=dDMT}G_te9WnOL`FGXgpNXj?cul$5H;S0o$;VP#s!o4xqTXo=))#0O|<vT
z&6}?#p~og8AM9v9Qg2!R!~~Qx*4k}3+_^2e-Ck>~6C@ekprsIbXx*Ye#2B@@Lwq0s
zb|Z)qZWMw^O(cpSLt0&FXq9*Q2VZ9vR@htkNw{f#e%^ArwHatZVoS=wy{$Il6ifw0
z_N`2M%es$GZmd?TBFxmfw8nACKEyKw_IB!NkNg1B%_T%2?{*Qthto;`+0*&xL;~Y^
zhXYfoRi8~aXZM=Rn?+cxo*2fRR-MBJO$*jhyTcVxpG?D!g>*SHGOY>yNhYz&5t@Ip
zQ4q-3a!atnNZc07e_K4p2tJQ8bQSEFDaM)W9~xnNh;*UGB3oiw>Q<}3{xh88Ap~k(
zPq_BqOMySAs>()=u(xDdTb5bs6;#KTtV%FvpZv1Df-_?34}bw@yrntXD*>OB^}a4s
zF5vBu6^hl3jcT#LN>;}rs#7l%<f%kHhn&p^9G(0fj)($TX*`Fg8W=uLMQ>8Npg3d+
zk3j;aP{E}k2y!NpgdH#}<9+sya=EMt0=bD1QS7+0SM%K5(o!7PEP-%*p|DdBp?X|Z
zRadvPe-W?oKHF0+mzl*JRaK8yK@@ft3Oq*ys}{#gOLH85^{m?wMZ#_-f}s5rT;<fK
zPkxLFXn_}8NhB3NI}bQA4C-rq^eAJdd5W=9%-`<1>-9c*)HE48WtykZ@nq%uc8|Z-
zh~L{P98U0OR=9IXYFu|V{%)Z(uSb@DDaVtQr(1z20+5xLTPXiC@^K3vkj8QHz57sn
zw{Az${9WA`1)~m2-3ACiet)zGa@N<+4e0Gz)|yScj^>aJmvAKtM~2RY9{8lq=GwZk
z*<#W0dVz91-?R8NFdpi0rWZOSMe2q+W+1dhYN*Ej5nEN?gNu+;h4-`Ez>V2m3)QOS
zb>B(ZwsUDV*;B+4D3#eaP3^BS&#TSSytBEgHbGxiwu@lwN_@dwST0r2iDU!Hv+7CX
zqf%y_g#g?ob4NCAuLI*kzS&HYW;0)Sl~LWAt$><7!$}qVS_sm5JLBbrg+ifFSXfwo
zm0GYA)|ppz-x5;mU1x;9JYPaX7y}xI9YAUCvydz(q@y4O$q|Hwkyi){KXK4tVZ6Y5
zR_N`<c+`L5c_haIz9Kj;h0cNiZ;&+yA5u8xwnG1ieU}spzC81MNfywq7}saR!C<jG
zU~vda0_%1<Kv-~!dgNX)&S1kwv&G{8dk1>GN~KNQ#4Ek)rtVl}ZoUQhI8d5i@TM_A
zI_laLPk9(Bm0s_Fhp~5EZ^c8bZ(@FKuZOX>FkJ%d-C5H3bzr@T@GMeq5tFL-?Z9d?
zGCciSe@0a`bwg1$RILKs_qBv=G9r>=MAM{WqIeB3ExvAgA2iS#K?Bs)jL*hBKhrrI
zBqjDE6`J%s9$O0V5xS>B7#q)k*)+z}43GJEOWP({20DywB$F*&ku$ONl_c)Nt*FOl
zOi-#-MPR2gurwKrM)n!g6BaaS#=oUp7XCuLN7q^*2?R~o>=NofwxOX&2E4}HS0Q!`
zx1~7lZ|fkG!fi0-=fT~B=yxmxhwCoV@i0|x35gCuAx37xbxCBBknReB<3VI18L$Oj
zOF`~dE)E(4msfr~0stY661#lsfCx|=JU5?qvzwp_N%|Su5X?sg)YI}0t3l%M&PwuV
zK6XqQk4R}DX`*aPNJ_Z6aW8-f>N6bU4+fDjrmF5CSJMsc+c(~L<DnZxx|50`*0G2t
zdzo7pW2#|j?jcuI&+gX5Iu`f!^D$1OVEg<O2zVfId~_OKgjP+yHOvhU()oDOdv@;2
zA7solAM7CaaPAmsGFB~q&@>r)@T7<RW~<uSy6sb%$x{f`u>DccP;V+1sVPz38BPO&
zRkc&A5>Vz~JK-MZCD27byLHfCTwDx&A2>q=Y+#;K{G96oZp`jlmt|d(A5qnRpejFW
zv;yL&0wSw~$N9}~f$xWbL^KnCH;n1&)~?wG-lfYjy<0I1<qbY_utV8cvTLgRET1O%
z^C+M;+TR0lj7|s59ONOU$m_^}-?CTo_~Vc3vds4c?RjihN}083+3VB2UXPdM?%|m4
zFqE(Oz@AWF!N2yLeiYv&`P7#OCSm&vo;NgBn&F~*YlpgaL05@+$t0?NLDQofh%8+B
znrZ9IGyn{ft!u}UwS1>bOehUV+aUG+-X{eQCBuckqW`lzCqFmPsv*{6zUFGi$JNaI
zF&TKA1hb9D389bBqFWKlJU>nSeqZom=NJxD-7PBFJh-`D(xTg2%JK))R-o8W?`m4o
zoo7qAZg-XRbb2<9z1OZY8$%znul3@1cALr7ZZ`*$nQvW^WlNSX&3ZD4!`bkIiRJDl
z(Zq}-plBSL1a*L9mnZ+XwK@On;>&pm(phI%Oq|%4;^hXj52Z8Yq;SJdIykC3P6W6*
z(=Rs|S0qI>F8BQIL_@0eLQ9mXraS!EM!p>i$Rnzwx>R&A^1LE}#zYt4A(<<L7W5-+
zqtKiUTdeKzaZdgOzG(}GUWv{S+PHDMt%fTa-mof(F*!ov*l#FmIJF4SkVaQiO>;XP
zPkb~e<x4%0Mw+&^WiS?tWL4Xg1l`q#ji~<gm^dH+$a)D3(=<#?leLL@VwxI5wFF~6
zh3UQ$+>jI?#85+>V89^hMX69SHBHjuI8hlVJVYgP6iStV>F>Dmi0xmSMFC41l?l<g
z@8xD3lgP>hMdOK9chd@Bz>)%zD(O_hvPOZp%=5w-%O)UU-$CwbsEPy<28k#{ZhjN?
z!bhzbvrV_Qh2&+1uRbooLsy$Wg5_~0t|!~gxT#*hbge0ajd1OR%s8qqT|XgLrf$9&
z-f90(^tS7aN8|)P;IF8?jn4*_`ZLdz^{oL6(V>}%f>!MP;ipbrn87)pm+zw$$a5SK
z<JH%P>t43rU}Iwf=xwJ|j1m@j4;xKhxOh`X>KMfrWif`2q7&#ex|TjK)7b;t6S3dd
znZYF~=Lx=R=2wftcHAauk~I)byu|JzJ+Cf$Nxt0FHZ2Uv^!zjlLv7nsKGeNMr$oQZ
zZM|ud%aQ5cw#$meBC}pW2qB_hEEX*WZ>Ers-jn(rJ`v#Hx#t2Ld}5h>k5`*s$S0l)
z0mA1#@sIQKy;7-E>dnu?tKbuZc%tN#vpCpJxpJ{(OWlyq3lOm&P#BP^l1krIvbo5W
z^`gsBnCh)(3qLpgs%dPhOG%<LR<HgNr#`pnP#!ZJ4F((C!%VNkv=TNl-F)LML@}sd
zBnZjlv{!Ioh!S)ex*I)!P)MG{#U=Hfxapd+nObcnBrDNF^M4X86y!$L4ZK6ez`?R)
z3Q$(Flymaclazc(7eYTn0Vv~!emC5RZg55c=$R)d6$76VaU__|YQb#Z)q9phq{he@
z;v#@+w|ctkO-@dFUZCrJ#toeU&<U8oRVT(jn4ptxFk$`oOh3n(YY9J<mkS^Qdk{^Y
z#<~!$19+;@z=n;<$viY}KbY~@JanagJGG6=x-zS<eabzF^0wbq!z7Y2VGqgt0^Fi2
z&BF!lBZ5$$TbNpq{p&)W=XsOxo}V8Z|KKNKeh<Ar{wG1{VauI=Eb?+Cxj1if5-Et_
zCjMGV&`xv;-G&~$5(^<5KwX9RZ)eRKp2<-2Tw(7&y>I`%LlN4svWwAY+Uidjo{S56
zK>662tC210#04nL%lo&pW<~kv_z@0C3mQQjocTN(Y;KA^S?PsYIGR<R$x)Pzd;dAs
z;8`?{PN7@S>!NC)WH9*cAvaqt)Jc~TSj+@6gcPW<NhRF~+KtdesgaXP*7Z}EQ+@;(
z@6W<Fh1se!jjE4^X?58jwPlR|tPGga1>hkP^*kYjOlOM22B)d-{EcOnU4-{j#j5NF
z@KPQ<*}kQZ4_?U&49@!cr-pLmBmar+rj#;+)3Lqf3BQFrno1DTJP#qU-6v+`KIX(@
z8=Yg+GLE``MZ3PKcH4IH@yWs2gbxQ@>`b?YIw^e9$Y`s2+3TUTOp)idBBxfKn<=l?
zw>R>6@Kfr3zYAlH!25MeAJcfr4_%MeQm9(`QhwLQpPgNqkvhvV$7Ch*Vf|5%&o?H@
zd)f5Cap0D17{Rk>hd%~LYAhvPdS^gVtp@(TL0jm=X2y0QI;WX+L(8a_!ZwdF8EZb<
zlf`)(7_$kka!h#_-cZRkrvYLz#jtEy-uUljo8JU{Shg&WPsU&fuPj997>2||ohvhz
z>0MwI%I#(=KVMdBZRRm1e^|p_Nvr-dzRvUjjEAH=N=qI#tJb?6=^s4zeUyjgP55se
zOyD?IQhhF!*|(Z$UB~K=Pj)?Y3DJGNbRE^*EQ7fBd<N;}*sj;dZ`Exe@R^;|Pc4IZ
z`8-TKrRw;tXK@7X`B1=we$}D~Bk1e>mN79|4=V7P>(t=%*YnT6XU%oGFI`_22LFg8
z-}ePPQkcc3c+mVH08jCk6o%BRXIpg~$5(~EPany@g}VL-cmguy(ZZ5}s|pw9g=vcX
z)lL;`Y`aJ6A$xv#a?`E9<x{-?E^`OGf9Vwaewuv_Lm3^US-RaXdL8m1XNo^eReT3D
z#xv8`cvy+MKXHhhBpOZ#QVuub6~YjAie#85t7ckR!%y_R2)7gL-KoivvTK(j$=aPB
zCYpBj)f&;({Rxe1s(qK|ch^mRef{v#d#+jgtgc&J$y3=3GVE7BuD_Q+!t<%zeWJ~_
zF_8pGvzi}o?p|zH%5!`1ow|0HrYKxkM;23@%TMZ9;#7y>#9w?tcqi3$knm!9ba8Sr
zRJo2pM<eF#t*1H1^;9$LeM7&d%#`9>G?A(#(klvAy5n&q(lttfzwMwGUopX`OSdUp
z7?9~jYkl^9Fvs7=bLgpYGC)nG<|QFSiYa&_Z231!NW2dXqp7Y=HTC?GKph{L#w4Ct
zz~om#!;9E!N1ZBOSPYn^OG+@CpxkM|KzwMH^Z@+AdLanhGtK>lI>ptWKaCjXgK0vi
zv3t`oNiu&#cuF!rum3)o&j$v5+f-tx04Ihs^b?IE8Kl^lO$<l>KNG<Ge`;;_wtruY
zqlTK73}t8xhW$|HV{l*`#Af{F@9}GC(_|}m{H3%w^s(k>l*Y%e=)FTneth;K#!&_u
z@l-weGtxtM@3a5saX*dgsKy++i}FNaK^ej}Atp$FXk^<M>7H;<!M+)ds%F?u7mIQL
zMe><=I_f16DTF&@<NH5&(IHpS{e@CV!rIXJM#HDB$IU{%CgbbNb-mhC7-QMsPACj1
zR2(~00It)O357AE4|SBA*F7(PfND2Ta?FKui{DEFPjx0Imqb8+)q*hbICYDb1yQv%
zQ7RdSbX~V~29_PZIuHW%8@Q^-y`~v;e@+Oesua=q&S&p7Z%Gg8SdTxl6@po>WZZ`}
znmUP)=m1c|k?(%BhV_vk>DF@{S`gzwgXQ`LCc>Fogx>%|M3JXYnnuuQBK`yKCZYq>
zHEm##BX_saCZF=cpe@K#LhVH3UR)o<HM`>$5jC!NI_VO~Xy4cE>fEu3|NM?S?&$2o
zn_I}v{YaA)PBZ4}R#@6p2vKK#zOL)_`T5RxGn~?3sOy$2n@o?QUSIbT8_j#EAuY~q
zYs0b`$60?b`%rb=Ss`X!w+gS$=kunn%V%U=w-8>2o|>C3*|0<=!X!)tsAAGVfrQzs
zfk5DzKJ0s4?|=XM->(z_6_xi(k|dR%eDX;ujfvPIWx##7;>+jHpD$osIFA8}XV0D;
z?`*vGtU8Cp5JQ5AZ=yVk@*RUGVjrgga7f*Z%)^wQs_{h%_~d9ktv5k8j??F9x|J^Z
zkIl`^Kvwgne(aW4<zUk=?&<Y<kt6sC80lU>30UX>j(Z7wt>5pnTuwFB=c3_Uj`dab
z&!R}6NB;;4ifZAl@z!7PkJdf^gd}yMRF(BGB~@Wvjre{ADNCGTG~m>*mdX=pGnOh5
zcmqmMkzR2EJ<i8JGXcz%JV>r?D3YZ0h^k<nD-?=u<%5FA#s^*F!<=)@9rV!nXPm3#
z{TpJw&2}8??IsN6n~7x+KS@io4c8%>CRrfKWbbs~<>x0tzDqU)*{O*YdF!^D<?$0G
zKTL<ml-|)+)%H7(z6H=rd8Uq*(Qfa?(kM#4Cc6$ZeyUcpXRi@a`Ow++!WR$`A5g%x
z<m_*DL-LZ*^06!TU<4g%fuDA>IOZ4`bq#6FjVjFA7HSodqqqLu>}`r+C_UA(DLq1|
zZK*xSb={^5k%MO~2V)0gqX5`3HD<X)wH(=|swGp(ITyloS-k3C>?~midc}`Xw}wTw
z)%|CN76V`#HdQUpvs7wtY@3;xnK^(R89NSECdvSeS*FHhg=?T%HpQ~ah2UI(m&cBS
zWe597UYF;uRI88fL2rz}I$KG!y`6@s0U*RmlI%>gq1Fm{8}I<S8Ap*yAhvZOH<YWR
zfvoBh-gaHcmW@I0o5q9aZ?<Ow27|U>b36o=@(R;2-n^fJCam2jy6<p&(C?cWLPmw8
zMi)PhSPGOPt!4eU&-lUcDMc5E6KJ3;_ORH+gfJ<YL;OHeIEDnb>UivPl~~U}^gaLR
zfDzNtRSm-F$^wz=^y~HS_`<kjkL-W=o^)Yf^;kbBle<m2mCD3KrQ%MK|8jSrEV2{X
z3F}3DREv;hw3{8h-Tm9tuER<n`5So7CdTkF6q7Q2lUHys&rAV{0o0-!S&Wi&GEKXo
z%t6L2wsq1G&WY+$M%KjpA`7}Ci<kekPW4<qm*dZeJ}R)}x<OzH34gnV)#5~4uLVJ^
z9#0e%VR*KECJfKmwr2<hZg3?m%ph=GEPcC~^_)%_%jNPpo$5T7%fn5zVu=#Vu6^6n
zwraQMb0ODtn*a8yefMC}G%WzjY$gXy3p_)}fvN_wFg&o#`*@hk=c%rL`zO7YmWs8S
zWs`<&5&S{@A}wC4iY8I2Whm$qjn7LLRCx?Z9?P=OtsRM*5phnt`~TzzBbRZ`+)?nV
z>5cqP|KrA^;cz&FuV~tS&9eM|_bp4?uW9><{dZ-@uE(PB+qZ4o_SJ1)^*KlT3%Ccr
zg_uQ?b5Ejc(9P&>JAGtA2f{O7qHYCzXe>gfSaFajp1_iPf?Gr(8F6oYp1f5v?D!oY
zBoZ1h%@#o$Zu?u2dIaLjF1zgV%P*6pU%|Lv$587B;oYwa!hQs}-p3f%`<~aYV?ZZQ
zo;>+4d;I&Ad-CMZCF!!uFTd=T<HwJmRN(F9ayg310JH1s>o8$9?~ko%T~AY8pEf7%
zZ<-UZ-ZUpPZNhBcSFKjhMpsW(DwS%r0`R-%&!3O_6Tb^ksa7kWsMqV~qiYn5B!sqp
z3nSQXay5Fgtxyt>b2+dq)b(<QGoJ>D(;ch2Na)bgqn3UP#(Ygfh?&Xs8e)hU<L5Zw
z3qXTjO7<J&rKNIG6b6$*Ex5{*z$iC$+t%$Fzq*JxTZ|hdZw7o|w%vVq1*J-kND?1E
zT`rdmkj$$BEtEJH#kOK9?<+7>EP}ZRPtO9(?y?Bg%`={qlP!~4I|P6zu?ZVHgqMDw
zND`Y2i*BIsrq$h-8&N8#mT+#6s%_hvWh$ZUUu80?nI|<`hn*ja#i>%bCXb<ghzxWH
zUG1miBANX*G-teAkSLKb0F_PvLuIvPxV6$O7*12G=VsniC={Ss(1I@n+Vyc9>-k*u
z3)Ng+j~#!;*k~q>UN{nzGUnJIUxdo|GH~?h(W6H_0B`N)n{SRU<AR%sWqBJ2$AWl#
z{teHv$TedBLiE-?-@Wr6N7tac&|`RAjaJ%fL{UVmrRRu#F=vRoj7D@&=J1@Uq!AwY
z;)~r)(=BUXeG275BSC3746}!50Qu31^)M_4SLL;S;R{~~w8HqO1ueiz4p>P^LYSXy
zgl)T&Q_Y)8wmq3+E@A-Q(W9Py=z+FS40L_bo+}BCJdnwnCzCdBz)z9iAc;Qs{Q8=4
zo&50K?|!$6{rq8q{n}9l2Ttkv>OAjb<!H^v<Z#}{>bn(9Q{XGlKKm@8K0ZvSkFQp#
zKmTMdi+!qIjeSZEW1o^|Rr(%2)>$7-qg``#34~KlL#;--`o(}~6QC!nK%m^!d%y_y
zc3*$}?jC+VmPO&>C1G^%rkf6q?|(S!24H<Q^a$?f)SH-d3m)i_TO5`H$UXjaj5()Q
z+S9R7AX_?buZAYkUUUrIi0(pf>0c=fHOR97<R{<6QWJf^oH7&RujD~Tw%^EP+X?w8
zvPg&`Xe%JCi+RcNir>(|grk^Oj<kxwTRe0riXvAD0B?+#3!Y$E{W*G~T7fOgS_4yX
z05?zx*US#^*htr1Qh1ll7q^>U5TNawtu+&Zo6*-=lMYum2aW?XeUr-K$l*=3Uhg^)
ze7tozf{Qm6CgBh5lT@evE@o+>?E7@GZU~3>1MeNhVzEjrTdfwgz>{05Ws_QsShm`d
zy+8v9yzjN~*4eXXuQmb9tIv9}77Q)0uD{*{u!eyqd&l$HICu}~DHH=g+p)Zv^Ai&j
z6Q*nF3k%G4&FPHC@n-&KX=!Q6W~RG$uWK^<1L?7Xja;8yKWDwmoxF%z1hZU~=?C`j
z-yhjbyc*3?zlipC6CCI4?BOhV8T=rM0$;$<J(n*8_=2W!u4&78i-PminGY#fes`th
z2!gG_79Ij-8VJ2-xyyXvhrYu;qbX+;S=P@yK^0kUDU>QkOS#pA?K&r}&qoHDMm0@a
z(=`7eLFtklpH6+~uWu+-to({OsR^O3W|_gXGxK5S<|Ip522;Wef3lna*QWxhFP5n!
zCvqf*HOSh6!*Jz{Cx+4tr6-*~K~efMc1F{7X+qP^oLRb&3GlwjZgi&Ie#Lh-tl5CR
zT2v8%7DYM%0=two8-#}ei6n#S_y!1QFWGq-ic7X_+a-glEHG{U-w5O?HO}d}P9|z5
zfLWU$dYdy7z+_yfnnv||rutVlhqs%sRc=tj4+@3AH>knYs-h2cMIv#k{;rIP6jR;F
z=N+9gt{I$i_N?@_3->w82a552Np&Jj!X%=XKx5!|>dDPgGJ>@H`uvx<xw$z>W&li<
zo)Do-Der!L@2XTPy$S|)fdM`yy)1Rx%0FD|F>-x|f;$OyqLrn`v$s~O)vC95Nxr0d
zt2K#*S&wSwFRImQ)fv5QEg@{X?l4}O#6q!`kVbO-PtT$iv}zT1-H35V>Q2xh(W0cA
zGzm8)O`^hoC2AO$F`6hMk?<eMQj%%FI3baY2oy?&_N<Uh<2Xn(%B>%0!uer<SGIQV
zZms0X<=o0OOBgR1mKW^3=9;~MXBkTvFA00zW#(5_R)koI0qXNBD{p*Lt=+p@f3UK$
z5(C65LM(RAeW~I)Kz+q9RyHbM#Q%E)*q1sS|G~=2%1#zK-HRUWbp2&*Ho1Yv?cf9k
zziOk2!Zm=#Z@P^@%l|@BRbxl93FMfkpxM~zsm5)WFD_z9lACyO@p6`b%ZCQzvYRgM
zB?UdPcQJLl6)&L5`MrD2Mw#uRvwQaDWmPp`C;q`NU<|(<LF}hGP$sq`brE;3{=3Lh
z25C2hf46W?GK6?wzva0gKc`WhfA5S97K|JVzQVk5-_(ej9x(~^uTbSLGDfw}&r;Xb
z0Z|4^h<<Cm?YYs3mtHJk9|m$-lF_?hm${IlDa1u2?WtmqF6xp_+Dwkt>vbQmoaZiE
zQCXFyb#+%uw3lrX+kNVkEb1)G$Da={G0(^~?ZE-uTd&uds@Qi07=+-}O_1V5&6<WK
zDP#ubAkJ<VdtThZ!3CWda%6JPbpeJ;Nk%a2_huY6Rry2V+B0NhV0lIu)?VWeiFLOE
z0`N7P(kH8#!SCrS<)ELexXw4@gpG@I&V4rSx=7E0iEu(oQ(osDl&v>Mm`Kd;X5DPm
z>j7m7I5NK!QZ!O$b;RKp!T44D(~?X<`cfP)=xHh&^IwDBhQ5T5pk#4d?k=zATVw@8
zr%9J~eZ5;Yn@Af3V`MLV^SK0*Ku!w8IdH#lwykIsRbop#H=lPs`tu{UKc82cfu{Qs
zvGo+aO*ZQbW?~Pob<b7ys(JVPsQRNQ^v&`{IAE!1^~&FD_qFv81%}aj&!ZBQ_BQN3
zPw|R`Sb{S?;Dz3&LB4`1S&!x5eQX+p(B}d;a$V6-V_PPR*DaHI+pa54ZvK5(RTm1d
z=2T%pRhO!nv|0h-W@o4G5-GJFU5^Hr{%$+jJ4v$C(Kfs<OL-DI1!7e+He*qw7Ub+J
zue5WenT18ify>=e;by$#UQVVloumO3gAR%L1#{IS9j7QubM6*r!JU)jUy2B?KZ#I}
zMqWO#4kv-Wip!xPYC%0A!b}C_0Aji?>=YDfbAb4FRF8Nc!1pZ6k_nOQc|zuGiD;5F
zuL7v^uh$Jj$MuGMx=Xo4>Dr^Sm2!bTNt!F3s5qDgZ<(8$BV^8&G$Pq^1c1zK?*ev*
zQi*Fio-}HbWrL@$f^ubc3lvSm%-g{^{@prg4V_1*k%Wmcl+kH3ku+l>Suy8qfX2vY
z(i5MiN(dzckp3p<Cy9N4AGry9<j|o*8d0$m77C$*RiYg#$~y^`q+-;{R83Q}R#cQE
zOm@n}k3e_*$8AE0mLa>UwZl?f*=U_n6h)D>gQ|K^lNDvE)08!$?M>WyMVWV#y&BQv
zWNGRdW*A?IgOtY1TDAbJWsAiKA&OvY6SiOj#i)(;p)2i1v*ms0dCG!J-bi%?jCax|
zJwdJ)Dh3K={=BtieX1*5D}~?0CsV#pn_(CVx4Lu36<6%oS#?Dya+mvX{5bfR=Y(4C
zT=RObs@vP@Gl1wDUt+TOW&i%<<YY0Nh-w(uqKU9L>8nL8$cn`*(2A;m{TutD{$zfA
z<LWDB>6!i1YdOT*R1fvI(tEu|tz?z}JPuj)lXY5`rVR=5&%SoMU%^@DWOmw)drD7T
z|7f6SsOc*ZavcLfY0+0SrEval3Mx_j;)2@w^VBe#{ixS#yT*IH7~{C?_Rd^9xubw_
zVaH@V*V&%KS-_#FM3Im!LX(8rH(*0l2g_UR3DHs8ta`R;S!2ygvZKrKgmoMq`gjD^
zXPx9TGuw+qVy7d>tgN?NcHG<;8*f=Onsc!sN&DIqy$7N!vB8Y{_z|h2LzmQo|A{cs
z`e;<x5Sn<42|Xni%%vt@|HbqrFad?807*#fOb2Oyj0Is`mU<>((`e<^n0pe3Pph@v
z^w^&e8WZ|QeE%zTB>y;KkPT{F(De+Z#+CMBKY`5*&Bp-r3gxa4vJg9PcWM9r%P!l$
ze@QpEPW7E9PF!=%i4!~Z82!Bw(68FbxIroCNh{5=wABoDu)&>I1qo&Qe=e5F<<er5
zs4k}4YY{+H+a5`)Q?!G-amfbSdlHRogI(;zYKvkyz=HjEzLgK6vuGVXj^2ZwM_)z1
zUq0zAMAGUK(#PyVinl&dd1o_SvbEE;*?~3FzH+Du2<&UZIw5kUf}b%p#he<X#V4rO
zw*SuFdP@Ucn8EfXnvy;~rtIsN!Tqwl|CM?hF8%a+VH{OQpO1faGiU`JxX4zzly(#T
z_8`J+)hObzDoF7d>2~<uyE=Rnu4Z_@m!Nd-#MAJ~|N5{0Vu?QzOfkWCIUj6r2-x3W
zAEm-IvsaIA{>C@Hp&ZUM({<oDM|_9YsIKXhNKTHDI+#b$Mg%i$Dz#e8MYWLTbT)I}
zM2ORUq_(@XPpJ2RM<E}sYR~IqL%9Ft3IqG_X(7Z}eK!b7g$-ceHU5-q7>41(sdkNr
zP(VBRxv^juWWX`^#vdVSFM0-IyFb{r<)bKXTS6r5_GF_m*={F7*j7G@@?prRtn%&9
ze?)lCp3SCh2@!_*D9Y0_N9?XfhiL74TzVxr%qIwP{h)ec2mBVuJcChOFd*q&T5$T7
zTW-NwQ+!Xq68bIWa&>aDGXBf3$SpURoUY{_n0rtr6UqZ~55lvz+;WQ+eatNO<<eU!
zlatkQdHmB{ZF(|rEnW;CoO?i-Ao7EA4<LCR+V{fOk&W6lLzZNZ`A0NEl7y%JWL_B5
zupy+zi(l%%shRvobS!aUTjsws;2!tYuYUD>wE_T|W+=DDS74)6jo@-J@js?*a}L0M
zv%GMjaNBLSN!4gxRSm{S7qmfCZDEWU6f5`W@;qvzqv)T&??3nY%B5etxAxK=!e71U
z#X`5W@FJMo&6e7&PAjrS2(CeQ<6ahXByOy+_UK}ou90ym{x#7`y|&-@K|8OolsXtv
zD8w94Lyr`UE2+<VudDUsU_p0kPUmzkms7=Ky;wCTtExPhS-h}HHTU8fCv_cuKv=%5
zDHs4`O;rG}tXZCKYBB~;2$|ciXtr;2SK#5C5dp^6(Sx30#l9*liWkS8BFnFjP}HDq
z8A2@2{mS(8w9X`fVV{!3^l4R{8~mB2>>)+t+Ye~~T$L#=wW)w*m47=42K8sHP>gD+
z96$^5q98EG>)HAfMY3c`k}c_VRk?C~dnJ7~!co&z*h)v>Wy$x2FaycRE|J{9H=IsT
zn?cHsiFD##<y?o9Phj3IhsWzC^!a+djoKbv7`m_Nj3l}c?1Yxy4va6#)qd@;Hr}LE
z?C12j4%F8`Tj1;(%CF$}Wg^*brUh!Cg?KFDy5nT1k{IbJS`64PzS)vyqQH&KPm;6^
zEf7}wve^8K@ymE++tnuipw4%kFag9Bu&|7sO#kq|Uiyo__zN@4>n>wLbnTwK!ur<_
zayA1l(tHjUHcu~8`r-5X86Gf-ERMNYR}qieDK`sbIjdE8Z`wF;+cs8VG^3}%DUGf|
zDDJy`g)x~~k;k27(Mo(Yo9YAUKwv@86Ttx<N(F!5QG$LIWEQ~<Bc)(QAsvB%C*0Ho
zDFmumQxcEL&Bp`PtK%Mb4u0J~ILU^RH2BPbUzW$m6t`dqoV^Cct&FH|fjy*M?LOMe
zFmKEZJLTB_xBURR9zBQ#(V_+9$ta|eWn)P-QUqZX?nTaA$Q4P_CFk5|aPgZ88{JHa
z95NeU!qLTci}DW>;JPP)v&Y&B^>-IFJ~=xZ6iw^Yzm~-~CaIxa>CfRSa&^zWk-G8I
zQ512{rIDhBj5WR9!x?{N&z?Q1>lPLrNWwXlXlA|LZXbr|&O7f+cYyiwl3r8ykl08^
zzTnSNjavNelZ{<h{|%_0w_yD8_U+qU%Do+5ZMo-FOI|N;T3>%?DmaJM%{SkC^Wan&
zOsh7!&=HR~bBhn7^Pj+Z^-SC1z2eT~jnWtd()*lQ%DU~;>S1x$auF<7G!-t&LP`(a
zd_zs9MGk8uRj<*&Hv`cvJ9Zk&1^+RTS?o+SkCNJ1*tz4DA(ma`;`+<&l#2C=L;#L5
z-@+Uw7eiUgft0x+?t@2uPJBDABe{k~hW#c9Gw4b$4*P|?=|1Sywt*iF8!70Ob|kdl
zr?pOib`6&kxHLlOpmJ+FcEQZHD$r^_I-+Lnx!(zd<(Nj0WWbzH3k=h-M1adcUZ2ap
zVmb-ZXIKZ*G%Tmu2S6cI;W*e7Txqhd$ax9%ZIEn8+ydoM!vKY9uXsr89NE`d4%0)(
zkmi-eKvN^vu8>kS6qBT*c^*Qkn*6V$uIj)L%z~_;iHGm7wqdt10pmnlKy~4{KBl5V
z&0GW%<>{RBN8(oW%cfG`*A6zCCyAMI|6;XtZs!lNGm9Mu&pLQ&Rdm(a2++pplj$Kt
zFCWCyjrjSXx)@egrM=BIrGMf&P84&dbsElzG&s6Yi?OtnzMw8-Vu5AzDl93UTRbIi
zg{vqK<z1Id$&7oSjPRNBj?8%enc}ex!rBk=)mV#+|1EFJ=JC3KQ#M8JeXeQ3ErB?5
z-dieojNt7-bHgdviPIUOyi{o<rNtgl;+DmK%=wRB_rvFA&<e_@oqE(NTK1>}ijMpx
z`B2a~6ljEUoXJx9q@8wP<>?gvGSpH(3_cDsYSJbyRR^ARWXZU>kgt?&&$A1)LjGn$
zlAT!u;cw8<op;{pd3SE1r=5k)4=IUCb}a*wShhH4dYrppo)fl3Vv6z`dGx}>!~`J|
z*Ie^GN1?}Z-Burq=yLrq?ND8R1nJ+Ceh{k4U1-lQ)tvhYl|q{+$~oHYEYVRy-EeLz
zt*0spW79zT;VEy{fkf!ksL04QL>~O5CTW&tn^Xmo4=r1t@O^0)&>b8gskt7NIqH9j
zdTuQN;5#Vnl6-$cx2-TwK&8u^^P-Lw1?vUFW_+g8nc>VnV_8<z>J3`0R%G?yA}AV$
zVj(8F&I6&Ug#fsOZ^$<qvxY{gX3RDk`5UmrAt<P-2)M43xKISFDR2q$ijoJ;Y@w>c
zX1pIo(O?usqtR#(MMy?yYZDJ(h%QHWpm%uK*eM+XsS|B)xNGYki7bWGQX=s8Q4?3Z
zAH9;}eHYD=|I3`;iA=K8)1@__TWoGp4XMeH73;=1w|KLlRO0H3l@3a_T`|j#)oj;|
z`Nlj>7X%M?f3Z|5anGftZe)u7lm+8|CYI&pv~xYnBK!1usAa=M0Nd*NzU_q?lq;K+
zlXEUc07c>0#hLbGtrnEal;#%ZX>W#17CadL!_v}{OS#wS<6e-n_c)CGID#=}u3RpZ
zJ_gF=Ijy|o_5HSf2XVB>wbbhaV5gP|5{c7)D;J75GArsAIOR?Qi~<#7xF^EyiwPa-
zk}P@$Oh0Eo8Z)KXEGi6J>)@94&iSAQi;=|*0FAP+e&FVt57a}ZQ2>Km(PE(DU@jNh
zX|GRZXTQIzVkn9%=jKdgMg2PyEkP;De?qB%`Ty<vM>X&<wKQgU7Gp$E7r>>0FlKoM
z(=3YpK&2dGMWLDvU~5!SFy@qw+@klP8aj(m80vO7M?z#6J>C!wD5)n62Tllr7|5A3
zr-Ya|{=<Z5Wi$m6HwXNi&wcK5M7e6hWGOL)HjS<N1%<fq_<I<<*T4St3eFK>lBqT^
zEj7Z*9kN8hk;OkUHUIhNpH~Qu3U?V`Tq#w6sLwI>xAFo9;HO?CKpaybSFktG3Hco2
ze>qk_S3rZI(Kl2t<x;NqAa;Vl^zE#fW}#526bhy}b$Da<<RpkUw{>!IcNyO;`ELZ)
zdueL+Q@pjXSFxqX*}Kr<@jEfc#C#n9pQD=|H||5wi!N~z<y2S!%`%y!&8%TkO9*5c
z8Wtw%s<jS=*H`OEYDb!RKGoT!8dLAu-2Do?!@+yYELCN-rP*ceoJjG{=Tzy`xTuXU
z9x-jey<Yn35@<_wO!LFZh_)gETUL1-Y)Wkkk1YiIM<G6Ru!~oj!D(q>p%l#GuO9}D
zi`e&JW_oWVV#7Ca@AM4#{)EXjz`Aw}!{N&sU_Azibqpb&xYT61W^;ajtL3D=yR3Vx
zZ(^&pf4<qwF_Rgb{^V35t*iF8aFUX}=&+vvGF;ykosYC@k5=r^RcA_M@yTybCduaj
zocTu%_<PDTLBiC#nutc=H}8c<mE;>OU;PoKo~POf5-w^N+kXQ6JINjBjrxKChsMFC
zagI^W(r44_OH%l6fx$i9Zr1h@W&66WNTlj9{2NZpscv`bK$S>}-j6|^q<Wxo`kX6|
zdtmPNW)q-dzO(98<Ctgj{>x{vZKUg@>IGQSLSj|`DhJ+k6(&ohdSI%%b9P2|a8P%W
zXC;?7`poRk?v(jf>+RNYY@stuvK`)qpL_vbiQX^Ap3QPsuVWbnMD$Rjn^{0&on(h_
z|B%U|F9NpxaIQ}WHraLbu=IE_ef3h|*<2vXiFnyxfTS#fx$TMbDJP@hqu%3sitMG^
zhu#)e0!g;N01%XOHAv3uT8KLgc?gqPbZE34f%sMc&QjUxjX9;6xR<F%C4;+H@!w0)
zV^U31+MJrCAfv6grLESNu%4(SXv1=9PKkXFXOi@dptbHWOU0x%iE988;(UJzHO(zo
z>M+b>C@JdR%4o_iuDK5gS<y*t%Ac?xYEu;3QVn={(G2eK5C0QC-BmAbr%Hiz`_#?k
z;=!#Q?&v?YRt~Fk&%|_M2jTLpcSa@zulc9-7woddTlpXGWh*S74@V^xD*i>CR9Vft
zH=<72Tu1#~dSn1`K#sqUjr=utaGY4*EX%!25+tPD)t@F*;DMdcfyNRW7RvXiE^9K;
zmk(~$Prac>C+s-}c_C~&U%nNi(y}<XBRAbbS5ES&Ht4}`quo-cF%^Uog2tQT-}Y@w
z=~7yLAxNF$&9c0w`fe62j?rXpD)}*yylXU@+w)jG8A^`b@5oxr3lZRmOuY_}6^lz9
z4J>_Hbe;6ZAIq2*V-z6^-w*5Y3%1fH%gYf&)-;hiO{u{YC51VaQFpy`#%DjRw_5wJ
zxZ)eXV+2C*H6hlx5S}>bUN4*LGd$@z!D+(G^xnQ1y`0o7U9;^qT~V#&`G75P>JXph
zWz~4xfqDWS!%ox-qQ{?I{dk<SCl;(<58KhFF!acv*R4nUQl)3GmDZ&4;9DjqTT`1t
z>u_#syqOE9rswCUr^4Ka2PX*|Ou^rd(qEXu^E0j~lR=J?9Z^Xf)vkPf2L??c5|57u
z;HwQ4OK}fi{H2wZHH5%>P;HtfltT#BwpYHQpC9S8*CFE_<*UZv$bY`JhQjq-`_g*O
z>*K}t(R0@7`Xa{<8ybaQ^n|7B+9UFNp7Do{wimGxyL$PAKK3}qkG$!#eliD)HZx$!
zcjOSe|HzQ&55s~GhxtI@lpghvTU9Sn<^Y8@s1E>qFlh);g@;_NYzvDZ6hdO*mxu(V
zo0N*pDHFK#ZH{I22<Swihv3X+$mmqCwYU^akTQk7ViN^KpCd`pQETGmRmfA2e?$*B
zv8e%=7NJZi&WgTuFmOD$XaR}+f#h>BK^V^~5;l@sb3P7(zPN!cq`n>jX8ZKbVGfvQ
z+(L~)L7i7^;Wj<577C3JNEM`De(4i7_h7)16dkoY`Th0Oai^g^_m;uuvY_lzr=iET
ze352mhfbC7R!an>j-63+PNY=0+%819XQk)ylMF)8w<TM|3DnkE2A~MV>1t#~Rb~Wb
zTvJ2jsMi{WX)o0l&?d1)DQj?co?6<0OJ=x8jt|BI9&5RQ)!&FmYGVNFlnl>+K1AfW
z7xW+q>q9ax#^OgoG6DY;+aC<jK3mJ=Umvs&8(Q9{L+AKc?9ym78tv`}^@m=k?Ax)A
z`(m*#$wz9Yh6^SVn>tT^-iMZ`cGm7xoYfxIE<K$y_o8>VP9p8H;I8XG=bc(svty1h
zdt$myy1`6zKEj?(POk9#x^Z>+J`a=ezY^+Wcyjz!xM%!U50mR(&9iIqtFWh&|4^|X
zhv(BT0l?QSe`Z1oZ(YL1Za_2$w;dG`9861BNzai_8^Y;H&u1jTnLf{+L?sBQW@rV=
zN~r!iPXv}#&<u?Nrn=CUYPBUz=oGK3pMA$9cAPxz(#8F}<4Bn5BGk{DO0%g%Ou*v^
zonmQCjkiYu7NAyD^vQJ3mUW}s&?(7d(0W?0r7c#mU4yUJ(t6yq-Kf=SXdI@-inuo=
z_mE(f+pLpP)Tl%iYAJ0E2TnQ-nklw2_b11nJ^(yF{xqB%e_At54NhvNsYz(XV6LP$
zH4B`Y>&@O64sW#dUw>~0Cp5M3zizwkXaxO*{05bB-FzaB`r;&(OY(P|wU4$x>VGsY
z?Ziq~>@H<Zc^tGT5kEJ)MRmeTe{gteX4_SoX=*=sVMi;P-rSSVQ|G*N`N63wf7Q&k
z(9~X~nJ?<&!IIk4)UPKG?cCd4SflbXuV}6W+pO;*s_AH{eNdCWEF~;My2%qe;MX)B
z!C-D~-GrzYu|_93dCA;6&o&-`xo<A&MeXN0!r*2V7~&2QGstI!Z2C}~`pHcS!L^(f
z$>xW--aZjBP1jyLLFQ5DXi(*7u-9LQR#v_T)Q`c7=)Lwe&fTkpCmtM#WT~2nRVhlh
z#k0h-0}>3=-7E;*2nS}TmlNZexXp5gq%}QjJ59(kGK4}rQ2lrGRkQ)nA(%^(!v=lT
zBlg1?PECc&8yg#|tE;WJP9^<%&9b!Xb&1yF*7(uGhY!DF^|ebD#`RV!u2U+16O;D%
zCsUX=3W@FhqxZZDP#teR{BR$Fpl+Mb3NW5E?RpTvpFaHX!w<jppDhpsvW@G34(i3@
zGAn@(7Kop!wB6RaEkX1YHnWoXwOF#;oay!kbD44m=J)TP&)_zVV8PsI1jYUPi%OKg
z4uVp)cVYkjg}n-S`tvV2KFSzllcoLp%SoR;AB#S!S>o#brIhX=rN69uQ0o)__{Ow3
zvWAwWkp26KGCVZ;eyMUUR~~;)Bm4Ig{_J<gb#k1E3?P$E9aTrasqg)z$zPLQ=(sha
zIFGZnhZDPn@G?*j?7g+P<Fg?^^+Mfu6CPnDwp|MvH7om?=sA<&NR*&*a?DZx$f)3o
zW9(&kNa6V=I>gy>!p4Isrk|omac%6-DAc|K86YK;=x$dQQYl3u$^xKKF91cxsd{BL
zKvL%e4FKjAE&7&B1U}H}1zZCg!u`hb6zOshsvlL<+)8tMGEEDs{WdeIPOVvXAD-ea
zH~y>WAT?nVM$*m~mvEIloWhgXspq9bl@SQUQSe>76;WP+j)%_dTe-uqEYA4d`>u75
zri*wL!u@3sx%{O_`yM`i8A~gS8<xfI*xd!hQF>Xr9**DU5<j_%Lm0v1Xtz8YXvAcb
zvW4<5O8#lYEtrJEHkrUTn#35=pF4GA9ux@Tea$lyi}Q7U)Q}W&-|t$&R1~6FKlr<s
z72R88xUMj;;a<(}!bGEc_wLyka5bk2L-KoyMl8z|%HI7QAD|s@*Nm7iTv1$Tcb&K<
z0uUPPG;4}jJb+anZ3u7u(QWbFUh!+>vbv|9T{*U4tt`-opSSR<<(OM2O9Nuj3MKN|
zpnLu7xDMao9bX!l(39xj`FD$MW49?;|5$si6XIsZK$ZLnSNpl_yP-uLZ0Yih!pLGB
zDecCJqGb2ZQB0ew)s2%<q(@wDL!tsEBti_KGpVWguDT7LGs4e){<ka)^z8;&t|NY5
zl_a@yE6taR#Tjso_>h=8pxF3?&;d4EpYZ^k!PG?llA|`UyLZRusYIc*r`c@>p+CM^
z`g}<Prd1NhX-6O^5G(Mfe%lobI?kp--WIWgd+97SF8urHnyj9pk?Dzv!m5rXLs%wT
zUPqc|(XN?C08d8Gpu8=37sq7*H*&RQf$hBj+4t&wVVO+Fl5rIFjemicU+-HJZ1a9B
zAssGFrJYb)+=#axM{kniQIVaHnNCN2$r9TNw+~-8n2WflisE(8E8jT@&v6HB^&`!u
zj&yN9H4h?QFCG8csZ*y89#UjWbf2_%u%P>5y7G~UY2}J8wM&<fEKG0vj>3&HckZXY
z_O-7)Yj8;sPWtBnYG8&{#hl7Jw$$#>K7jLR2CYfU==uFh*aHQu@WL#$tU@m<6Yv??
z^l0pA(-%x)&S~AU^wZPN0KRYDci;HeP8J^?i8nKQ%2u_2CdTaW9>chYoYzq(&{X?F
zA990;-Vgl%5B?H;V!a=doYhKg{7z!*0O8mU-VTnZ2VcOcW*-M<!dGQcy-r-8HFid7
zx5JM$BTux-g}{wui)O>4J|pf)G0kfIb!zANUj0>T`c6^X3vtRR#7#jy&%o}kB=;nt
zJrRJ4G2Me`Of-@NHWx%euBBIDpj*33v_n;%P72YOXh1BrXGe3|b*!eeW?e|Hk=F(N
zpmj5G&T^Y!jP6WzO2)IY<+szPM^9YOr_zozq0-BOR(ZiESeexttU^fT;R?dGWf_3B
zr!T%(7cdcn{Zijw@K}DzuNR7t-HC-{J9d0sQzOBAZiHA^INIa5+xE4`Nf!{hjvube
zkN?37vLn9h@ZHzzo`RVjJI=eW*F8luiN4}_aRfuOK(h#(r{zI&Ozh*lraGMIS&Iv-
zds@I4|KJO<z{@#9O2x~%2`m~sBUGYZvHO*NF9i|kVWL}fE>3?2?Sx1mlBWP017y3A
zlzeqE=}j$HeypYmV4}-aOfy{~`KdS&NH>Nn1d~XL#i`l~33@%}*=L`Xq-P&`gZx%q
zfibNMeV~rdHv2>7rfc1gF!e$%PQ8HH?J%FSb#iP%zd&L-N;1fJQ}lq{;6b9aC~Ya^
zeS5zUQ7VSL_br+S4+=_0nWKfwe@1CB)}lQ@(fu7obB~}@^fvphMW;IPi}*|2gAXGO
zg(yKtNy5ZV!_>}f+vYY(lFrURMlzdeaMMn^nR=2}8byy9R0k067{Brz?|8?ISFn_2
z89bJa9|d@P{0Kb0s1Ra|f72u@@bJpY%J`ACOo#y|OwwmyUZfooY*D20LRl7jnF=~#
zL7!6XHBZf{jR)kHDHEErrpvN&ZB~RvIxoNf=b?oTru)jJdwWTS?B4HZ<ZK7`UPi{J
zr9Fck1PyqAHW)sRH7xy{tz$Ps@g)59Gwy1>zmtr|;^1>7ChB_DLO4wzKj7GW?XC*O
zB`SK6U^(R>(2S!9Mx)j1ac5A$gG>w?1gcNL#@zc%46>a^Eq6KFOLR6VfZ=QliguG$
z3&aJ-MSf@;ZKFMQt3%4|^e~wa!xC7PPI*?+_DY<Zsuv9w)7>lxv;I%~9EgUVxxb{Y
z$FDtoa(7!&Z7YOQXxXZmGP|9=mU}L}{AZW%gt}AIf9W~PV&;P$r>=cb=U?&-Aq?M@
zwU_*?OS$*K503w%-|rJP^XgFEGQVt0@w>v(taJKI{U8KNN|qW%<vI?<0Al41B{PRZ
z4TS(SF(6|$mY~L*O-91^%}0GkJf1J%vf}$RC#eMIXy7SjTq<yv=susEnVIC*OL~|t
zz}d~7CZ4Y=Olhm?>3}N!VO2fsD>OK*s*5U9qOpFvZ7aIqhwU<|Y<(5}hTm}GAi5Hd
z!`*dworoz|K`s)gM(I^@;Qac0C@slJnn^5QMKw{%JQSs`g^Tbb3$#)g@&%z%YOxzl
z>kYAZP;7@ifE=$Z<R+`ts=H?2Y|w#y)L`U3S=F@rfSvGcBt-t&@pmzEaHilMH!{G2
zvz}PI?mCwkF1)n?fAYv9kA&#%?q@n5VuTu>RAm)^k}d`C@O7%2OW9d?ltL}Fc0vO>
zj*$|QZnj8KDJI-ua7z(O0(fRxwH&F`-owRzneSO$T_ujs^plkPj<!mKNx=7gfBG66
zEI;IDEC;y7C?<o<U2or8H#RnWP8`>DHSTY4Fz%S1o}TUpu>!a?*vLhhGN%g~%Zr>$
zp%s66fYqwwq-wN)r7^lxm;$D`W<BY4T$7stl?wHY*e;uEW{}%6AOa|Lsw^!HkpLEi
z9w~;6#zcS##z??MZx%}34+x_4{Y2>ujK*xhc!2RJ4)7J9UcMS&NSZ4F{%fQAB~9{!
zn&uBj2qACl=UYF*Pr~zlgw^#J*fo2!Z+v&%i(ZSKLhnK!L7zZhL?iTj=#SA~^Ji2V
z02MmYCq!ia3EeDSzkB;H-+1MPY{nYH4P@AbPaUpTvc5mkKkR1G?GaeC8_BqDlI-p;
zFA11x+?x@IH}&)lbnWfIr?%Fqzj|Q5x?kL6`mv{e8Q&_)zKWZL-m0l@@6=acr;QzT
z_*h)}8)!RvHF^_zKl)AdyV7E7mFWs{N5Zh?EC5gX9?hf~x6-Awp2o7-dAdX;nNmig
z9F_GulF|i=NR0c3wkXaux<~|J((E$Wg$Su}W;3o6y7RD&HMUPuJ=?bp&W>XMB$Znx
zCrH<B+kRkcN_<Jo$C56_|Dh<5RDm+R(1szrvP)a58i75BCpmQ>ZP8f$jBY5|pnT&~
zpN!vYH!so(IQsZ<g5YI2qiEWGO|+t=fMsG^`FwpV*N{$3gaK0|3?M6B`7dWm$|oH&
zR~4?8S3Q&6ErF=oQcbU=gi_ng?0!Sn0}*s!{5QK44|nbyN(I#o_%+d^^uZ-l0mcCo
z6iSPLqlFydC%qg!8@a=*J6hC^q66+#AS<vCnNt&#2BI!i0|j;DPe%ab1o4X;W9P{o
zNPNL<23){M-&D@X6M1p`Y5PH8m4;s_V4~4o)v_XyCGm@@JfuNa3Aq$T^Cg*h&C7YG
zMg8WJmQ$U&C4_?#FFoMX#)kemtqIk>b5MW`{baF9yNwATbDR&LhdOtaUAOM=_!y}h
zZbKd|?WZPK{bjpyetd326znGTE9cAo8u9+qGZBsmnUOgkca)aRu!PaBkV#OViag`S
z|Cw7_@!=rpv(~AOUTLTaEnP~QG5maTa#E%fen}qgfRrcvx&OA=YE{9yE(}cr+DZ@H
z=reORL{(yc)T-Cebpr<~?I~MAsemUZCnsrV@=N+^m}I$8_We1ON;8J00oHY6|Ln}u
zzU)xTGu2i#N-~xh!c+5}D-gT7tvxsJ<3H$ZwSOID=ny(fw*pn~Dp>-lG>LaAfK`L~
z1Yy|dbesh^)$pVdCe@Otg*dB2XC6gi7Z-1Xum(}U%K05L8G?B~WtmRHVTS}K+M3}g
zZ1;aI$6Gx9!+bs;7#P0)OPnth3dzj$o(9>6dX7QF?mv9d;lqKrf4mrfSAu$$u*ln&
zd6Q*g@Yr#2?Dg|G*oO9?UzoH_@UJCAC6IPAsQ=Kv&s}V{(gwxfbc_8wOEXPp<~h&*
z*z+wGhf}58_}z<=^6`1e%J|3d@oz<4mddrIrNuqD?~i}38BjT`>n8ruKkKVE9B*AW
zS~cQko(ao+>NY_iFeQcAwzkyHg%Nmu18xuQ%VE507sk2q8=-HOBj^0`1ydRidp(>}
zm8YIk)ExFJhThWcVQvkbMCZ{f;?bT`8<mU;nz-%|0YqmudsGLdUh3Y4uOS)C)n>0n
zc!a*BK~n@>aVAc4dhf>f{tJM8{eIuTKy}L$HyOIdVtfA`440Oca^;e1%TjQK<Cb%)
zKdwR~({{K3FyA=-g6STw`dU;r%MjxG*Ko&)6DM@jGz={1muZYME4ue@?2*aINk^7*
zxnj}Xr&+DdQv%@ky$RJZ7N+Zp*PMhn-~Xp&bL6zGSt|;zqtH!%L@{K%lht`|d+k@(
zlBCVJHyVvbA2MB6e0b!F-?sS-<80kn{<lo`<+r`<ZEtJc%h<iGOYEI)^m4uSjF%(#
zo$-POnpN{>&@$SOE~ny^rDhGiu!Q{~1W$G=9Qj5E{-;G0B|4YdesgoZ*AuhSLWBYr
zqLQ=|CBoJ^cdG6XW_(BIpf=w0LLR9+=vQ6hb*6~*-ueXFGYCrr-wy2!dM4%t^cDWk
zS)FsU&TT2^+@^;$tev1KG#Cs#|JIW^ok8@^<J&@~O1VO(yf@*t(<L5Sur9D^_A^9v
zykx?%&1x<$UxMK8Z18rwT%PDnl*@K;qA@emm?)0#Zmph+rhL!yr(Q)pUfRH8>pEzI
zn`=QlF%iSJBI0u@*LRif`Qymi*H3j}pZ*r=fB4OxS?=afZxjzN3j3oUZDgYcs_;0a
zcpNfrSbIX0%`)E>Hns*@l}n%PVEcujUT5Zh8X?bf;igqbLATtZUygcUn!$Zm?SG8^
zT^-gB#9q8%v%FAAMih1Vt1~najsGdQDK8l40Qw)DTTUO+n4bd2Uitu|id7i->828z
z;=F}0waqoXoPZ8y(~1}$4*{JFJ<dr48sbFTu4)jPHLfn~VsFDXFci8Fwg?R-2|ENb
zQ-gD&hr!UB@cR<VKQ?3}>RYHk-TC<MxQ_p>&;Ac#pZ!U~tM<R+y7mP0Th_ksb-A1q
z=p_s*pP@*Yh&%-j#h8-j$g*&>35?h8-VThu3$Mc^26%-m<LjcQkBtWlA7d9WO$Pmp
zp^ecq--#YY??fL%UxLl7g=zZ?3ij0IGto?%ggBk=OVczv@1}{)@L}n!`6;sfdrUV?
z-L|mggAleobjRv0rKnc1DpND1Qez?W#z7(5hidHb!b0?8f7oH_j9HbaRs!1=Vkney
z%a^ca+pKnMX8c<#`{SIZzb7^n=!x&ZQok!dkLn6h)+em9>lyhRi}9y!($R!%AskE(
zk2^x8BUuQ`f%k|zVnGN9{yv?w)(5W2rV5V6<($8iFoTL^m|;}&QFECY(d2m0gIK5)
zCjjkRg>et=;UJraRS8TXQvGY<nggmCLg3dvdvHg6cKk1vWzCkXXeUBBZJR93TK)UU
zJUS7nkIXsq6FSJ4C1FA%77{B`L;)$5Q-MY*<}{IUXBf4fsUj*B<BRRym|57}2m<m-
z&mjmJSlQWVjHr^=&}i&bFvbcsXl1tys^IkDr5w7IUR!Y7cvN2`b8ecP%kjc~g6kCI
zE1x}<YbFb1N_JaFnz>>HirwtsSEF%Ua(f4}ZV@WQCMBj;qzt~WsF{RL?=KF#bNi<Q
z&}pGKHI);JEGr^6HB~H7x*^-Sv?Ysf*F7)P1A7PoIE%$P7?lO}AYzzAo*gCMPI{-P
z|8xot#)UUALJ{)i?so5JhK5wPV_EO9ap4K36SN1Nv2n66dx^XKzyd7|0cXjBf5;=!
zz*jd9Jv*CJ;9^KA6ZZ5+H>t*Yvhf<!3xs=?%g^gD48XK7oM|h%rw&ue;H}u4pGe8|
zV_vPF_R5+<${;1ZD}$@m+X*rt>6f#&w^RLa;5%B6qW7VX;!KD#9Kut=(|lB>Q20iJ
z0xUog_y(9qA*7!2X__S)x%}$0Hv+DtaOsy`#6f_IjsuElc&`Xt`A`tx<=<DlZmDJ1
zPZG-tZU<S7&8DxLzwlLHIZqnTCKo$`Z@>tBL$fGqyo<B@gI-fj(7RXs`v*jQ;q3wf
zOCL{C|Gx5&8{{6dogg}bEQhM;kekZmlxig7xdAgI4%dmoh>#^hSGZ8kO+jhEBmNep
zI~~pUWhKWs*HlU3`M{I3VE>LC`vW5Tex6H`s&US9itPKEvojUKww3n{Z3TTm`1t2(
z->#hm)O>)7DTHmO2jhL7qy?@}rS7OJYeLlmPjcc3SMmZ)6++nzQ-vF7lD98Dn7TY7
zs-#@9rJpge_a_bVPh0Hd5FL75)e+vw8I9Wi=W05&=)VFemS$&Cwhl|eaAIPrUi{}i
zp2h$2*QMIj#6%dvwJb?zW=ll~{-uM){&V`;1|#@7YK}nx(O=4;0TLkg%ksw5Vuc?Q
zRW}2r50S71x_HD*ddUR1hVGZ!>ZCpl^-8r^!r&$tGX8f93?WxKmyi<>#=}dj$ie`i
z8s=CC%&|tH1tTy;GdZ+glt<x)C>4YCOM+6%kc=m&9_R8h-o}fQ^SM~3PZ*N%Mhc)k
zAppb^8UTIcGXQy&=)>MvLC6RurbCSl%|-mMpmWZ2z&C9>Ba7--9dk&WQc9@~&Q8y6
z+qP`)>MpaIuYX71-AkvKs#^DN;$UE@Dx01aI<G&@{1g|0r`t#sS+|0@TI555jZW5n
zigucrt}U;kX7$#dq2I)cP(lJiFgF@~aw|fIlN~C6kCX}6qdvg5uy9vHCNj!wFDQQ$
z`(Q^cAC{4bh!E8cmcf>cUur`h)B}{C)oH#1J7r;s)1N-2#`T1&g--LY`0ZC|@B!_r
zI<~()kry6a_Ay1>fEC{_*Dr9f9ZOz6^;+?HP17D&K2k4iz@T#hoLrsp`|>my0J@k*
z7gg$E5;v++?kb7H=#0mD#)?LVK)sd2=cvKx0X=@PJlF%0(O}^6NP3~@ttUg2Sd}Rh
z(TqY<6uGy97Ge^McB5MB+~O>54wnLD$=>kLYhLpj#$KZfq3eLg7pdz)=sy)(HE4FI
zE5Yg4yyi8`ve;{MT^G9`;m@~A=(?^`p2=N=)uBq!@qIR2<1%adi0wSIPO;Tl($h~5
z@2BdGCyu{Mt!)arWZv;P_63htVy`F5!-fY-s{Xl{i7r2?zk+Z{)3gNgv-*GogVETF
zuJlYQ`CLonwnG1_yvEPcW8hRYN8<Dw84M&%e5O><<Ou16TGy)0PBVKu7*tgxncfkV
z%PYR%Pu46JY-`{URbZW8S<|u$#d(nk%f%xV1;TLR_=O2dC3oN+R&(LhRG3pSu;&=S
zOF)RmMfKxqj#I2S;Ca;vUva%6L$n==o~!s1RnLQvT|CmX8-;?p^+kfsCOh3JOS)xa
zY+Jf`D$@5N{c7iS&?@S;J_out9SB}>7g*ec>jr#xm*gDUr0)@3IJO!0)sDsYKiYpU
zhX35}_lZix#=s;h?P-i@_A)UH^1BB`x)M)7(p(AO-O6|*8giE*36^)_j*X2C&J8dO
zzD8+q1!L?25KZyICYWrrIlf4e7h$VCb~;5T(6v@((@EdDCjZW<FzwYWi+>QKLT4dJ
zRx54SWyA?d!++nMIS_Y6;_JL$cX&VNyuPc>gKt|TmUUe`5Ln+1{)bYkk`tjMhhRqE
zGfgw#^<8xqnvOH+7V=(eV`GCcU4PO131e)H7yoU`f6&l%X+pKW9X=O^p@PH9h)N@Y
z;SnK3xazeDuaNf=*L`kdV}nx8HYjCWH=`x61ur2RP4MgO67Ic!298SLjx<eQm+siq
zp?~;?e>jph-}=Yb!Kc=^Znu#4CLQO{KmOxCn!y7?*X5X)|M)s2Yc0;XF7gOg>1;Jk
z$r?n7Ne{-_i(!B!D`W!sx4JM`PP_K&^4pV>la8|lR^MK73wiGkZTlA67UGtmTn-Go
zZ-M>EBe&!YO0nV}{uKj0H92`0{I(t4z7V$vVcWO({#%Cs`e9$elp6V44*!aw6G1Y9
z{k9L-f-;qp6s0yQ`L|?1xLg6N><Oal<O!w{b2YslvTBmM1>YcKV?;$T3TZOl1i858
zpfW~q)7KCW>k%By27XGXa+sg0<TEDQ(6kM$7MyKO7<EPe(mzvI0$-!A5hyNLN}_EX
z!=IrKPVB5wrttJ45MPAs-8cQqtr6@yPl%C60!0BmPL=(W{OQD@u$NsM>;rLx?hXiD
zv%6nv)zBnbk@E?yM8eR7qmYHZc0ih~ILy?0O_U9Bya&>DJ(o>ckv<VY<aLl=6GCua
zK2$bL%lOyF9((N2W153Zt6)lMi`$Tap!6-*8TJn00wj_&OSBG|Q$AGY{PS;hJ{Sj+
z;?^@di%ZB=H=>!x#K!xHFU<^=fy}8>Xx=zUiQz}#HgK!z@2K0d1ccy|Cr(TjNq=u_
zSgOh<Pn?)!s%ovV5e#Rp+r|b1bdk(N=@<1><mxH#9JqpA{JcA$kZEVaC#`HvQ2q6=
zBP30^A&{=uVuW^J1pCp9meS616vx=HOjjhAwUf;WvJ8HqNn;z06z=e5jDA|v751nt
zFaHS4GbjzxvOl^!dD@liW}#FG?Qg%NZj!un`^O1i+Bwh$MtMvZsA1x&85PH{ubWXy
z$h*o!JGkp2WD{aqKa0j!yWVlf9jd0OcM$BYfQCKV6%P}W8SV9x^XJbi%6X!DSeT}>
zV^1ghoK;V+NhJxBbk?+G|5G0z>u{X)M02m_IR42^H{GPFH|@o`jSjLLo#U*!eB~Qe
z67UBK{CS$)Y!Q*}I3PJ`9o^;NkId9Eoap)d1Yh<X7KH5JJ+ZF6BlOR)uG-2$5=Qip
zGJ7y!T0BA0jANzEK0raLTg~ck^ZGs|V%iLdwdbc)4|p&JW1GLt0oS#ro^S4}e_~oM
zf(IUf!Qb*&Hk^1nE}Gw0LPs)PlRADUXK)<eAO#s6+M&YjGIHV54$uShNgtEiUR9k?
zHBH@Hqs*G#<#65Ozkl+{Cr!XUCAGb(rl}LEy0=Dfyi>QofD!yQszsd3SglrTpW}Kq
zfjl@(UalRxI2_!A<s$CZx+J)+)u*&?xh@E9%JNwZj7MuMg&y>KJ|)7mgOftj{IuR|
z^_i+~e`ne^y?xiyk^h8#r(`kfO3$NGc)vsiawa*Yj~>A08L|ip)G_2W<SY}<xJ7!%
z#v=O~49iMVK87q|^m*X9x&6IWVnolU)khq4`*j_&3^4x~WXB>-2lg7s`Kl#n0D2_d
zkNF^<nc2R5W`?6fa9&}Zpu29_Ho=!+#qpl9+xMJk=&)3rD~WaP6woo&)<uybGj-5^
zci^1Z2EPTR%V=+rs-hQZ7{OF_Rs3-;xT;w!C=t7b9K;d68rd-6Q06ZG{&q^MdXrA&
za?P!+*(bgLr^Bln|Me2RYPR<r|53QeK9kMO%^31G*v_5FbI9)xMTwvirXxZqibrQq
zEek2XkW2C=7t>Z-tRv3~Xa7M*?j`(XPS$nyGr}188PnIBinQ`B6+j&Uj8p*i>1~pt
zDpy~vsPG|Of5sA9NYelb>zPSe?Q<XmEDHz$-dAN=x#0#yMhGE5Xln#F!3fPG)CdSk
z)wnMIr)|?Y@pD^%A5!B`VfwJoti$APQL?|_erL7;w<>&`C>ft!_F2Zj(AN*wnG}V7
zON6;Vf`No%WnbT`M}_~0wC{8umGyi|<A9_H{VPX0NH1qZDSfOB!$$?Tgp6&Tl1cVJ
z<d$=wyADzZ+XR(Nx0zfX+oigZAoR$W=1ge-=Um|MbqD{tW}9lqX4QU}&Xi=9suufI
z7a<5|oHqN`35?NI+Ij@LgH%S)hCG^6GG9*Nfagk%>9molE_R!Bl*`GT5{WwmUGdBT
z!A61LrFJ6aK+jl9&GF&cnQofOua@LoOKD;rKQ#=w4bW+wMRCoz47aLJa252T9}95*
z1RA`l?9s&rEVH%+V!9YDcz(2XJZ66~nM`0<WNHH#nM_AR^w4?NDMc@}Pt4e=|5ATU
zQ~SQKZ#cUwXbp;Tp?^+v1hJFx166iZ&oiG5*H5iIpZ%%2=lDFJkRG%PPT4zhiF|NI
zI%64}tgQID=65sNAk@?Ep;2Tt8cqgIs^1ar2A#Jsw#sD-V~fX@VPP$@vsw~o)4?=5
zs5fQsO>9{hTNd83Ft+qDO#-xL!P3zZf!0QJ3!q(2NH#n!Ku&VH4L3RyM=?IKb=CO)
zb6Z!9?`l?Sc<L5OhTFAja9q56e0=P9lo__&ch^o=Z{Kr2ySux4zwQ2RH}=6Sp4i>p
z)fD0jTdS3&wv{JcK@sX}%vBKZCJN;7bt-5X&TsK@pn}b5f^AP9Mxo}DP<~vIr03P=
z{cL|oe|JRVsDdqn?R~ACvjR8}B51^&ns9ko5BLT8Bg^!@KbOW_zmPt(X|$lNYST4M
zb042<J5EzjUG-_+iX%fmS77xDo5h#GXBS@<b~<a_<(t=3Y-!-6vuSW}-QdFnZvIVI
z2|%Djk%)5W<vnOHNN!OE<$cVq1K?+9uk{4=rfk0r4l<{dEu9;u_dM^OC1k8L<;rsr
z(3{YotM)XY7h&Kt&=z8wvE7SS0d$`Nx;mThZ8im@LFKpco3@shFr^y&x<)BpTHg9q
z|5{(c$4kpw8l{wKTgyx8E=%A19RhpkW<9;V#D1)kpGae?1Y)U%Ed(ojV~Iqf1Rq(4
zOdopLO*e$Q7w7QHrs*?w7!^6(9DOK0EM9KtuEmEdQ3LiRUSZ5P&BIvHo4yalhsA$R
z@+#C^?Ob27p~MRIrO3e=abBPf>Nw!mK6N=?^b}=5G+_M4h6UQyMA6yUmPp|87yp>&
zqb1Zu5n<2&HC``euG8OB3>_NRH!Bk8dJhQvsLj6HP;V&uY!)%|ZMN~<j3vyz#e1z*
z=t5Y0mj|W^WA@#K{Wepd&1QAwhH88_vu&2JVt<Ldn+e3f7#uJ=Q6t)Wr%^73GeF=~
z*HJHhy4{LbGT{;?N}l7EASX&$Cv$4uMAUBO(OEz3cr)P)or|%!)uy&WhLkZKtsf$R
z;x}eq+Z%}Fl~}iXAObKQgNOlx6q{e~UWH0J$0SmAS9&8|m6zCdAZUzC^`JC;O{(x7
z5D&UtR`Q6%I9;L@&w&|FKgWrHb$yLD#6TxZ6M}6f@oH~sZ?aBUY+SY@7$b_zSO;pY
zqIGmbf3$1xVy~08Vv!J$l(J49=VM5OoSQf&CNr_<vJsyn5~0(Mq(U5$uXrR1MdGER
zC1}T5zC?{HDS0b^ieIV2gM)(*#EsNjWKO9!e=t@Q5f=MDw)5CU*#mt2$NH^Z_>+mG
z><KF-i|mKrxah#^_xnG#{rLA+3q}VA2lKs>!xp`CLxk|)5WMnktN&xy@ux*ad2Hv$
z`il^KTPpe@ga_$H`*&=vavgsN&L};bu<gNT>p_C~_!J~P`f5`frVB=P=r?~921_&2
zb}XJ}zW)2XZvr1kX^>v``SkcVqwj^$4!~!-5yeL1oGp%Ft;KxYu2?HECv7z#JU0x3
znI`r~1vV#SW=M3qTw1dCrioE0L378aKF8h9XjvEnT*A1-8((3B8`~Tl0Jd7I3?D8m
zEC{%CQNqH)nQH{K;6}NfgoTkW)$r%@b;%?x?kjc)ZG4V%-sWSA=O41*2x)2EdWh#O
z>@(WAMsd>Zc0~^I17dgjt+;5lS}MJ=yL*MIEgd3khM*lse7}qn4|Iu!rlAhBk#*Vp
zn%vto<gF=KN7;sF`rd%_={tC(5k(wWrZaX-3!wbCqR8^IQKJ$+TKnuLNkXs-mWxR;
z0nWSWsu*;8H$%szwHkGuaJBiEEGx>h-9W4|N{hEGqb|lSC5e9xxi27j6g_9Zo!-B!
zEMQ%|4?x5MApd3V>lCdip!dG}X}u__F)sbuIP(;gO&6yZ|JFG8SB9>J^ta_lZ&uf_
zHHI-7aBf9{5M+fe&Db0WfVSPAhW<4V)Nh8%Ngl-aoeui1`X+3s7hL7rOhx7HDJJ)D
zs$zcIk^@l6UP+P!{Dfe)_-PjtxJ#x!yn9nsOo_bm3Xx1jb$Rdk4Mu4ZC)d}(lh)^U
zaMNq!)xZ)7&qVrr0v6#BZx#nnFP_tJ$Mg6J7r5K=RSHrv)HKazidW%yZbeZfkVX}N
zL7l^$&I4a#VZ|+1l7~M+unTW-F-eMX5|Vlcw`*Tw%7iHxbF+jHO2tFV|6bG7MVp$o
zR8ih~`xLf{?>wkllC-JmCLF2FDT@}`P5Ef~td_iVji0VSdUeZF^4BFzgZlL1;&dG}
z&7+J`T+`0fDyEc4zece8FD@p@IGHfdn-bjfZLLo)PI(@ql+}cj6QRZ^{qLRg^O=^4
za&$cgyF5~W#26p#f2u>7NZm}3Gz?0GQD=z~P2z+g2=1K|azHp{ujprsWk+%r7ahqd
zi=ttA2Gf|#Vc|KW`1ErE=47TZ!!r%>vrmIYNZnB<BrrxF`|6yQFc`BK&l-SBuEq$F
zL`7E4&lOn_B|@0y?qA$ox#W9thSuVNh&(L;xJSoH37O_;r<kb&<4T!`51`jws!ISi
zfyV|`x_vw#K7pwvT4odzBh%uh6S-pr^e5=<!ChaMpwrX9A%`t~0#lbdHRR~@G?I-W
z=#6>`9bS2!#O^(n9E~9$;r+xA0Of99HC{`apa6h%kcNVluJnaTvwdJQ#WpyE@+OlR
z62ak@PJH+gXR?y<yukWnqwyGHqINdmbdeh%+!D7B1P8P?H}ocb=6$98L_{xt5B?K=
z3F*i~K~xPur+R9>rkrk~lgFMCadi*InTyRO0w7%pdLuIy|Ceh$x>Qp?>AXDHC;n5?
zMfY&)PVrB7?%a_K!9Co{!;+T%?B1L_8h%6|@x4ncpZx2fzi_zi@=Ux_{KK6)cMi8*
zUMH|8%YjX+2cx$n?VCkqE8_c=I4HJMd;GTOj6tWMJlYWvNz#Z<^Gqv_NIc`NHp$xS
zuSbiRt8{=VjE93IovD|A5qMtw=dtI><-GXoWXfcoYP#cG-wxcOoUAb_O9ac5y;-Jg
zX5XJs6Dd1-?vS>|djQIk`D%4O$;3<BZ=F#Y6G^7JMmf4NxtwV-N105`<uo&T?^f0J
z)K}m(2Ic{kw|saYNg>@YzP$U?_^@Xu2lT@3F30WezVLc%993s6tVZ{}`OWu@dpo4p
zV+ym<7xh}q|DqDB1Jv=HsLx9KG*!e;P=+KjQ(+pXzKR8WUnBr8TQc50nD}%QXP5<#
zzU#g?r*u3+uv>o~yOhj?c=CHu{OIl5w}q<<*M8c;<O?_s^O=HSMoKsTxt0shc)Wkc
zGlaVM`MQhA%$U;m-oAZ%Go1(Q$mGo&&*2KMrlE9Iczcyv@M}@tk0f2M(0m6A86^dR
z0lY!<LY59L$9NZh2bHCX!T2^IS&cm7epRBF6du))nduM&+@UzR<2Gz60l)^1TBs@E
zmPNG)g`XYsP6m@`dfNOjT(jWUkI+m}Yr$gi@<0FcKVwtix%RBAXqw!mjLAL)c~b^i
zZh#3diP$jb%(4BCT*DVQK(@L0h6;SeKmYSTD{5GWhAeO4+mQM)W3(%4nnI&CH#7aC
z;y!SBSMq6S$wky8=FW<w6Gw6D0XN!GPF>66I~J`AGKP+-BC&&nA|^r{z~p`ZD^Mh2
zh|ydk)}}i5XDgVemAwZZ+--FGgZ1kl$F<t>+%nH^H)hF3|I4m;H?Cf_2+T&;cj{a>
zii}2CTwdO9-qWY{`rh7dxU|&zMTYn9+G$lbHjYFgY$gpsT*({0NUVIj*IUw;_ii3?
z{@>QZu-Cg$_xG;#g3st}H`?v%R~8=J-inHMK%C4jsfrueHbTfptr76XYaOE}(2H?&
z`yu>FK6#cCNx^!66Zhr{lp<w}B6Xg-p7MuFwEr>(9&%BH$5Ob7ttL;txS$26XqqW1
zXXX2IJ(s;u-y7g)v_Z{E{L#g@HgTuJyl!$2c_F~LAmgklksr$QGpgnez+_;#<$Tv`
zsrm7cU5|Yy$VmA+=f=Ksf>alPvRG_=aPr<yURHCZEJZwk69tue0yscCsAYio)?yT#
zlm#Y@y>gai*~MGx?9Ro-MaJrHxnRQN^jF;8mp<{t6C<cT@kA9yem}974<rqAlcRMZ
z<S239Oi5u}!kzB)^-h+CaJk&YwRA>i{<c!~UvqPFq;0Gfb-zuGIdf9zDgi8%Z^N)`
z>m2z04&(WAJX4ZPPY)h@a+J9fn?UtlqPYH*iSSZD2b_-?)|q9n@-5=FL+AXNxD_3A
z793kurgRMe9UpZ@D>_ybQU>8{c;^H?E54<eoJzjhamRv{4`~RxftXTzbd|Z7j^o>O
zlQ6}&?^D-Dd<zY628DQV0&!D9S_MK~h+D@2q5ASX58e&{t(Q1al0@#MmWuPv{r7ir
ztUN4&V!SvJmlG;Vl0fIn_+1#|uYZaYMeeDu$5&?di(7N|XRf5on5&cRK4&n#lTcBl
zNr$I*m;4Rh@qtg$Lwlnk2t8N=4$|KaVM|~h6h?Ekv96w|*OOH-b@YCWf4zjHv7Lt&
zHq$(vAp_!F@sKad4RGeDzPK32M5=z_)Z*gYys-3oAW=EqG;B-T++Y8703JZnKym=g
z*km%H@-+14>Xp}HNvhSCmgXkLf|c^}=Nnj#qbVF`KDzp*-vt~qc^2UPe~R|HdHSk%
z2I@cT$%9To{+GYowFgD<xbz^(qVA{1kIqTsefouJQIw$|A}#6+qJtVb1%;<+P%29a
z=Wo&Z>kt-%y~qX>y-$@@NES>nc%(07sMX`xvvJBLp@_T?5R+<_))ctc#>Ud`>6ZB-
zlBU~K(?`$1Q2`O0puQNjP?bPbnZ(8%9b&-%5(VG8>cifxR4R>0qf$`}&bMt?w?Z~W
zEbL&tyB^*KjX9R)s5%Cf*|w3lU6Yhk<NyEZ-#xQ(?DoT@0LRlt17O%5`+&bCGp4@q
zg36ez0@e-NW`^xOTsJI=HsC1$hiRawGP7+%$Dls^h3@?oyE<2);wyryiiYOmF^thM
zdJ>()Q35(XP=nWm4g|GBMQNR0XC}F>=V{#yqPWnYX;3xQTnGEW#(b}IfX|`1EH??#
zNS9>vy;Dt3hy0M+!M3LtJJ|5^&nptYcAFW5!<^$r{<Jo};vpQop|7*JlxXn`yXS)+
z{GcvFS=K)|HKh2ktglX8@oTqH*5BKuMq@f@U{wXcyx_QsB47-R)uyK#jj<+%wFeu?
zvga*EhG7_h48t&*uIrA&0lfi-S+d_EM3OUl6j&q=8SUg821ev1#X9eBH8HssY8qjv
zcJeLD@*A#UlH=v6-&Y~J@%y+YEB;O6@c0I!^xt_=(3YLPv#cqKkn*CSeH&90A>}i@
zOjVuY<2c+@d9SfGSFIqwP0cBAC}mGEMG^GA-Pd_h(7t^$Tz6-Aq4c&z{2dBTI@4_*
zz}#MD8Jr`y4#0k(RBZ##wQC<O0MIJ;)}#3>CmJf3BZ{JKbEGBvxZj>+X~e5Vldi5d
z=ug6j@uZ8`Kbb_OIF=+TcTq(zNIb=oo$v-EX<F9Q;32`O{qcCbO$wf`T~DdN3)QN?
z3-pwSw3BZ=JayF2zGFQ|fvIGWfXip50#c9)tx~z8mrs|7#1EVLOa@Gk+dCq$Man#q
zuQ=9=0vp@R$4SJZhn>j0wZh9XKebc(RI|D~d1N?*_6ZFiqcpGK(Nx+Y`8es?v?9g^
z4<Q&9sw3HqpDhC{O9uNnHPZ~PLgM=a{E^&f=Ej%ktl|WF$S!sa3h&ifHY)~KP%cXj
z(G_12&eU3MLw05O=yLLr5nZbJ^wUp2?KD&fx}Lk3M4m!$;YkH;Mpx<aAz&h?i76tz
zdX)$E${LAM8WGv;3{Dlp=lw?UWskxJH)|&2(a3yz<fSTgnH+M)N1TBC`!f9MlQAxX
zu=I=v1=_C7g5QGTt7QP0esSRd%2A~Wdg8Asy%`IJ4E84mPy>As;FH+AhaTN0PA7_z
z3IrYJ)<#}+t}r3g<c1GYyWO>`zg@G2m{aQQMdCm8pLK~Dn6pTAkbAoI+f}=3KZW59
z&}J*e`QME=>bhfWe6~{IkC}|n$e*fZn>Kdv^^Cqx;N%mz(2agFA>AC@-C+lzW~^q8
z6hrG&GOu4B0ato4*jIc`dhvJ$icrrk9O(G;Y38a{=}AEh(|G-jTTRz0SC2ZQ5GElG
zkv*VfNE@1855)_jEK9FRAcu?ciPfEJe;g&svh+Fu`Q6163c2y*bI7F(<aJ4wMMuc7
zvBmJ($1yTUuSv2j_FqHB`goU@e_xQwZFEl%dyJvwrV=3Y^r<{jmXK5&Ec07{h$esG
z<dt$K8UK+RR-Iy>Dm`8l5iD|UUOLGY?>#wTV5LvcLrX<+Bwa_(jU%%|+TlEE7@Ra?
zB@WL<8~hqd&{O?JC-Y)2E9EeB1mhUaaw~aflv)7EG|okZ74V}}F{+?ex&R&&!j6hI
zcwdqv$3CH5tdjCoqA@A)N!@pZuh2+&S!9~@1Dd8ew(sl81A<qvSXKe~tM>V&PN#!Q
zB`o`ot5{)3|1G369#JtU-*Tl2T)q4mQ@O1|{ThZpXUP~n5(WJEFDs7-+6$e)UczZE
zkvOD5F(v7aP_ctls{nQ&oHpF?MbGR}KGZuNO}a0L^+$Bk%0#We(Rp%9BU3<m!#<ng
zH=q3y!TBh=rx;O?_Cr<&O?;}gIQZYfsNXAtDL60m3EQ@Z_k6K5SgC$>#`)H>vSB4J
zqA!hlE21wfJXz(QbGm*|wR=3T?Y5)&3|Zp7mt`#sJjs-Yp@gWy+^6V%y+@IEvTV^T
zj3IG(MU67|+En+^68-<BN#!tK@*LyX<m`-q3SJe4Gj@S9MNxVSZm>)OXrAIQxBteE
zo+m4qGohBv&_P}2`o8b`k~*Zkq;j5uYi`V<W4bmDQCFFATCvccwS?p(UrC!TS(^zj
zU2)430#pX^_XS8-O;z9(FQvDbY3h*=UEz-6N*>Xyd~qM@_xoV1t{U(z!#i3tO~%&D
zg*8Qy<+b^j*a&&|wi4yuBPJgbSMrGdX8xNua``pJOmpqXGZxomSy9&JUydWh$Lv{^
zq4=N~L$e*cJOWFqkq&toJjxS75Cklr2x($V-0qZsTV8;ltYnCb(nytmSCg;4lG)c<
z{Ack2s1+YDvAQtd>&-7{U>KlHFH*4ywcm@<{J6a$YriY2SHH=(%iqLC9)<v6m>bx~
z`sxh5Iy&jc5M1gj5Or;Ants;(DOGmxuGfh}W9l^X%lB}3dSS6%2dGaB@94-h89UlI
zIy&-<sdLI7Z*I8`P_Hj8Oizp>#!U05{-E2#&Df_I78^$2-Bw7|u8#ufI6jpoX+qp4
ziXG!PO{qTqhZLu!CM5_71MW^~)Q{f$^wUqb`?o+uuFRq1e<)2VsZ$L?mk2eZe)RKI
zReen(UkB)^$dXp=CJOQ)wp&Zs%fKQG*ZO2@&mc<0vM+lD75hsoD1D;UYPFtOE}0XV
zvQlugNm0*78x4oi@<85oxjD2Q?MKHE3T@k7%A!OH{zNr)?Gi>D(KTQ-nU4|d0$T24
zDrt;n0^6Awju>-*a}L~L%m-3p0#=%FS@_xbBCL%s1{el77(XL!#X-k|N!U65ChYVq
zQ@cY^?$Auj8-LS8PRs)s<1p`y<#4dP9N_g{uh;9Zt*xz<U!)FduPm3LZ7<aI&+LPs
zJyI63JR@YudA^M1Ld-_H4(#c8DbVt9JT(=^`Q_4<s&+43?z6gV2vTDb`Ghv(U<vCN
zt#3B91~+VIu@i#G#$~_+n%T;keUIvCDA=;Mmqc;r3Go7l!Yc08yi!alq*IOn%}&QT
z$Y{aN1U-;acRn329ZIIdJfho=SK>cM0^;GW?`W+Meywdy!wxs7W91*nTMjk2gEg(a
z0(t>i^%cLf+Itp!<(-J)xruZmq@L^-c*v6s?wBle0o;(84mTw4&?-8LKr(LcR(;?@
z5k_ol6W<FTMpb)aO?TU2nyFFE4WJ5LrjazW@Bt#KR#di#$zlYk70Sr}0kmCV|M{Ox
znO0TBd^QxPPKoeYQ&H7vP_r!Kt`|J2>(=j?*6&)nKJY!4XBgf?t5tf1Fbrj0ai4n1
zRpu4L5LcYO=9+6<O;aa6ZW)H$mgTl=7}m!pR84cQLGfh-I{U3II*iW6l4AhJobxD4
za1s+QZpoI4{~DD;?`A<8i=az;b{e@!70S4-=3j3IEGV`{Bn(7S^x0<YwwAA^BL)I4
zuuoC4g22ZYp1&{Ni33ZGf*>*mAi9oi%XD6Tm$!vNw8Sab9DWmg8-<a->+pP(bA-{<
zwkH1{U!Rl4eLFFN%-8I~q1)lH@h9QR@h9D5A6RZ#v8r)y+nOsgzBagfYJ3$K<NpAo
zF@2QAsYAmCoB1-A84pu1_Kkux+EKb3cv0v@+kU<_4QPM8*q}g4VOP_R!17JhZA^3>
z>hYKWn}AJRX^&>$PCHi11?|)4RB!~tAyK(sUG@D+t5xxRwZ2~C4dR81*N29{&4nah
zYei8jEq?<gbQ^jap@tgQlUC~4W`@P9`t?z=fYuK+f-UldEwByk!z)yx6`CYHuu(IE
zAU4FN)8SJMLg@afP8z2bGkg`M@ky<Hmw-d{Mx#DoTgJZKyyeRP5X~NPFxPWf3LG1|
zlz^%kmMhB+k!?xh7IqxWS%{^;aeMX40YVL7JE~;s3_F)B%c@MTjz+69WvgER+5_(i
zhVW)N2fMy<T34%Ed3pr^Y8LdcBQW9B3e#m!6h+b`1vCKJax?%%G9A3uKiG&WjJ@k+
zNs$#rvK@l4aPav5C;2GKCtyBQ%3CQum5xI25)x<)#rqK3!`w6pKbUl^;h{f`t<g`H
zB^PjICK0uz8C5WMDk@Q(2yj#f{)k_iYQ!?OISmRQj%Md3Cmq!>RM&dljPI9<-kUW^
zQpD8cE>%8uWdGb8u3%v2yFMg$`1OP9^LD6J=l3|Oq~&@G)oK+YY?<}?vIESn*IO&o
zQ~3gGVof7nE{CO^cy4b0aE^2=g@hXSc}m$d*^6Fh{XFIcLma0&GzRUGmR}Emg<mDD
zG)Qr4yxILy-U+Zgr0m84p#63c-V0wwWpvWpfcd7C(c&yQ=3bDB67)ITA0(Jb|GL(%
z20>V<gpLzdDq#@ZtQ!Ws1>P05q<_wVELW+9LEtz+5LPR>TXp@`Zwt!`RZ?}V3rFZ0
zw1M7V`**azN$S4GFRt!|R!afY6uKBFSWuI=09Zh$zZr*vL)5+{C%T<($2bv`OB0|k
zcR{S;nYsyB)-_)yfo*V20*SidxH$>ub!L{TNcR}$O?V3RF~-<6IgtPq&BcxzN>ZM#
z`k(<iv%{ZbjDbV~Use<x4TQH^R%K>HbyLMGz&K#C3_t@<0RRFr29Q8j6p(cu#fBoS
z_`t^Bxf;&TNr;YFGlC(E3O-=;FX~d3oyUcqtZB+#8({i#X77WETW#T&3F+r6xc%u1
ziYxj4_=|s_KH3_<0PT~c%7ZdhHi}SGicC{RF_WyvBYA`Xb0H2$)WM>F@L-?-$5t4j
zqyzfC0eC^Gx=`G}bQ%C@2Wn)k`f%LE^AQ$WgUv_{{W&#Dmo_xU0E{-j;*b`7uqG#i
zWb|?fVWe+;7vBe8LM!Oe2$*zGvrRpY?jNfXm88;xfX$t53n<1pZ!sY$1Xz!Nb_<Qg
zc8h(p^x-$NrKD?PVBws1kQhe?E$cET2%Je-UN3o`d>#^RJrPVs_L5#C^NPNwSw~iH
zGyo+1c?BfN69yQrVSs7n9{7$VNe7%Da4xf~DFDYVJ#grHH700gwdLjIWsOee->*1M
zY1`p<?AH{+(=;JG&yY>ikJ2=>eSi<Po{22tbpF>qG-uB-Cv1;^RaTzZY0Rxt2K`-m
z$mUux4eaGke%EPStOH~JF38PVt&oMQ^#}s_gU-DYAy~qmlb*Ubi5X_9$B@1-N(u!&
zd6lK4>_Me@Y7Ln5+bL;P|8m<fz|H33VzY_il@X&4l)<zL`{M~6+v;1C9@<x4d5dae
zeInjpu*}i}ltt@+H0`p*1%QRc%QS5uzh2W?Q&Z)_+}xCf->(OgKlSkL&-M3XYie$;
zP@bA<Y1-@MSXI!9?ILDg2j4>6C-5XqgWHZj8TuXH9vTejPiYO8)%$|b+g^gA6=#ii
z=(dfClH@?2gcN*KDuaJiIr~#BY4R2y8_>8oCfJLCY)xj{>+ZD~wtx^}FkKQST(InX
zGg#1Tal7d)znQl!a8HO4VDi4fCT4AyupP22OOIlVu`F-r#C=<<)k+&G;|5n08OA*h
zGnchmE!jRe8#GdzQ7rq$o;`co%)BOw0xxs=gj+b1w=IC`A>~-+d6i?zp(=o7=g$<}
z6Q`r(Z1FWFYwsyBwLJdccE%NjmHz7f`|nS$<4VLL48R{sr#m}-_Wt|tw-Qe6y0q-2
zd-5|Nf?FDX$G62v-%>~A#0puINzSw>DdpR}gbv=6)WL#CbwV9l`iNkwRsrxH@3!0V
zYq1bEG;NR%GtAvBMImZwj@ww|gn16fBH>`x@#~2$Etk!YtjnRYN(88uSM_Rj&h-a9
zsJsgF>%ZfGAw%6I0;mCYvar%YFzSfj7ve6Yw%*hsaNRFKKz`5SIC!pB;|hJpmc8{2
z_zm3U*%JsgQrh_H?18w4>d|52`!hzcO=BXJZtq4nNd&El)T-cr5M>!0e`81Wy=v9-
z)#WQod22F1eQYw{baKn5&e>sCV62}RoH}*tdL3ht1@^H=-npVs4M3yH&TGr1Mx~tF
z5d+jZ`Kmur?DcPRSXDCx@1N=S`xm${wJNhuwx_;k1S7PHZb1*Cw;<2b*`z^D93F$}
zWT3ClyV4$pUIo-4{uisF)<};&0Y0X=r?N|fpXp8*foZv(P_=9C1=}wcUEKJe4V&tJ
zy`(v5aW?V1Q^g{T?^R{2>xSo9=I<8<ZrHW}86*QeRm-7Ys8osti(tNRIqocGz|Fab
za`}9)PkY`^WK5{Y=gZ~7KhGQ%^0~l*C&icW`+5WLN8=9aTmyM_Mi;|?v>RUrs5Rtt
z*WnBg!w7e~SMYA7-F91)9?LTc4wyJlOz#TAt9I@*E?-%yRsjG9gB;UFIH#E9@0(tP
zw3D7fr<Jy>rr4=!Tw`=vVSb5@N`@=2>G*<iIt;Os((6wKmFk9U0iGL)gzUIO%6Wgu
z&{w(c{SCWQept@_L>4=v3M$v)GLXsch}9{-B|oSeI>}E=<cV(R!uN%`dca??{u)+b
znr>7ohEDY6HmYlbpG*|vX1bhVomNx;jH-44kY~Y>s~!mGP!)x&zkvPl7<i=WI9Bt(
zT_t8Y*!0;CVjKGUj65c)PE9Sm-@AD?1%zbi^Y))a5>op+lM0%N6p=C8wkvgB6tS@v
zcYODP=NcfwlqiF;Z4gX&cRYZo+FGbac)Vd4W*pj=4s7-c7BBjjKax~p%=?O{3hd7d
z#^fnUCC2*&W70H?JP=B7M>Eyx{CUX=<CUwx0<XofNxJtL3C1MjxWH5q$Biwu492DD
zDYnT2x1+Z9q07(>GVeH0rLhmC0Z5HUSW4P$$YH6j#R&`#N5Ep#0ZZ+GLi1^D>;MOB
z55oFX7*2^(*!Q}6fK8EWGn?D(LJCFuT85b3cH3>Kj2E}v%*C<xgCQ7#Ip8?OOKW^!
zE7j^(+p1|=m`zdbdRjNxAx~fR?VCMmr&_y(=)v)cCHw8`dd`mX-Wb9_)x_BBxipc)
z4lxo5kXLGT@ALfLIagD{ovsp=Z2?%e)weL>kbgZ2>*FWk{_&F_t0$m_)2zO1zfLvk
z0&-{JHK_Sd6&(k*kIzFg{s|<KL<h2h%lS#m+!{eTc2evL{u0B=qcrZ*S5X(0^%tpT
z8D8L`I3*EKY7B+T86j0GOVofx7V!6?wN$A}VtHd@LwTbD&vL41ls}(MP4n|-a_)IP
zJ(WFwQ=HB_{S}WgkEYS+a;qd@)j#xa5{YbA%|!d(?i;yeCuy>`!2ddq^Z&P#<ny{C
z>^Hqaauh_-;$359M3Ikigr08%Bh*AabOU-bdN=xz{i={2GCgM-J}(?!Tu~BBR}N4d
zXbgdpY*(TJE%7hlW&~<Fz+n~J1SgEoGZ5)<rI`q@jLV`VoqArl$4!#O#UydLMybZ<
z(COE4;g-rHQg7Y)X;oE0RYCPt)t}luP?X?UyHW+J88=pRhTmvt6snbWYxnNf?sy(?
z_(?AA&lCy(g~E&}M9*$e3Nxo#mSq)#RLlQKT;Kn~*oB4f_hx6e85&FXoqJR>w$09Z
zb%6TgVM&sUTCk<PPCuH5N2$hjJ!SpkzB>n;ZsTr%nYIpnQSQ6o-#Z|}eb?02bPn7?
ztAJYQs83Hb=CE2)x)r4p^nVi)e8y9d7UePNW_jLq{@l59)e`l*c>J{AxR2}8t~iDS
zT=~cmm|%tH*7%ZMD1|)^T+7|HM=aB<kx3><P3K(P{i<k3M8&M|!-oAZNe~8+%H^CF
z+t52?#82CvOi1Gw$n$ul72^jv-L}K&feJynCILn~@Q{h_jI0wbg(pUDozr?fwhf`7
zs*0*J!7Wp0<JWoR`-c`V=$36;Isjw3&?%#uBI!ccg)S)?WmFeTXRzka$&7CygE0o@
z!hAjq^ZD?yT!&OKHB(rg<Cq3u0)k&5eR?Rf{O({5C#tF`8aGXgsT$#2)d;gplWVG`
zsH$OeNtPvU8>*^k3gMP%=|odGCz{GE(=>>(?#^#4S%zViN~REI=^p>cOAloc?bpr1
zO$_U`w25cDnZ!;p&4<Zmf$+9Fj+9&o@rL*n8j55pd@?<94nAj?{Ji?azgiFN^dCF)
zn4`p(8s-k$m~7$wOvH|`EG|B;nk(&u#|}LPgQN?Z4XpdQ)M-kI+i|v{TefWxRKG}~
zQ|DBeJCbPacEg+B{ATJpHCft~DK7iXR<#07sR`uXfmH0Mig2{~Bq`;YdjNuHsykKl
z0oL9kfB)+dy?uL3?+}WpYOgOv@i<325w+tHS&B${$mEfA;C%M(X5H*h6y-Y(fODL9
z{*aahimXLMQRqFqO3rugu=yd*4{>|3QUywl@oNoAp;}plmjEVZ*Hz4I<nmwaHhs?t
zqN=J&P8?EgSDqYySuu|3`Y}VXrlv9yz1y>?DeKz)O101)bn|_DzD_4y>NFE5TN?{g
zy3z>US;1{R{|?&Pdk(I{vtWyNNfnr3>$2b0ZNeEy(v%DZr0jX-IHfE~_xJkm&Ubw=
zZ#r=USK!CgcE!ka9ms8M0rgh!8sIC33mivh5z0z*!q**r{3A>4vYl<WYq9($nQl!L
zPhYQ6Gl@56qnd%iFij>vQ5a>6GDQKwOw%B;U9L1)HC%lY8WY<o*<~2J2;Dx>fJ2Ul
zSl>4~7(p(dV9XQ+z~H7ZG)1BO3(RU-)peOjT=}nd&o5Y5J7pNBG;A%*?>-l~*Oi<Q
z=UV2m`}m(vN6;0O#ddDEC5{`NIV`UlcQhMfCG>~TNyFRroA`Q3+7^U3S2zcq2OfxC
z<}W#=7qA~JUVrm`k+a$IJh`mZiecvGBFm>Ir>2WvZPqRBJM~E#MfZ>knLJz5<A0nk
z6!ei?GBJVQ_m`^+3rDj}RmT4d<TU*gUaQYt<EzA-2gZM-E~bYKjpFa;4R=2nE$W-n
zk@HXHZJF2Uq|G??bizse)Ki0xqI*mb>Q{0JUa&>ahq=PJ?+Z%ZJ51L#4-0XJTR258
zCi|&>!NAUkwHjHYRGccfcL;IVbY1ff*MOwbZb{D^^c#!3avbZ5;~jA|4E47I18cM<
zx7FLNwB3HC>OR6A({{(qOZPDO_!}43JC0MEP>gP^4wM?N2T<+<c-){A>b0(+Ow?Ri
zR;cGuMOM<19lukpRv&)az+!r4TNbdxwwY;xji(>3YN6g^G@8!hmyXwE9_>T-qGy3Y
z4#}43$N8UCc;s(sCQE@4f#k;_o=Fi~DG)>yQL5CCE5%XW>6O<hS~4VlXj|$mb&|~2
z*dW4<fuMrw0ziawJ{ml^1jU3;tt#fm9S)1eCz5WP`0@^WH?$L|qO|p8n;FSE$s=f!
z*)H!}-@{k|eNjUG^VovjKlYi&G0<xiBt=#nH*gdbi&J|n`NFv78#*gtEE%TBh>C}*
z=Sxw!B)w~TdOGK0U6v$_scv)5xvkT+f171Vs+8x>>9QnaMb#KKO%s6Wx~?+-(=;WW
zDhifmNtc9>bV*XMqG(JqO%wR9LxjXMRhDE){;BXjK|_lWzlh%S)Ke~Qxb0)P4}q#E
zQm%4rbEk?$*g@Sf)^|;sCIQ9-V?(1L>$)X`){EEnRh_XyIQSO#ku1(7j3v%33E&;K
zURGwyW%yOXG)>l2s)9zTC3B21=CVbp1}arGS<@K7)V3*J`%e<m&}?a&iDYXZ|Hy>M
zn#R==bST;0QrZ<;Bm5YA!?(e+SE1|Bz41)I&nj-_q9?Q9KoD{dM&A%c$RK)XP0SjK
zuue=|vTuYzD6MyYMq1$Awdz>6zEE;^IA2h)ubH{!2~`u><7+akvDcnlU0q$>SZ(P?
zaL;3+6~U-P`)kzUb@mskG#au{jLFK>-03+*8h`mK5dPdnn)T_wdiY^Y3H~9mAHX?L
zkU(inP(eyex0DRdC1hSF(Zo%N02_!TKawd(X{3twIf}`#D3rw%_UA&aHATw=H+o3D
zwaV^0mFxV__n!?ORp)t?KYpI|fb-T0{I@I)rf1g_u2`8GSzkq8J#|Xg!b^l;ags0z
zX^N4o))@d~(_HmUl)e`A;IySvSq;vagTBXky$N7G?A&ewm^V6Gh+b8690?g42T$Ut
z(G=)cXNcj%8)t*qVi9iZ**G_IXu71f1W{htU@-C^Dbb7yHC0m|qW(Ks0ov;5077A`
z^}?f~3Zj+dRI(Wyb=0nxQvM;LpGS!xM68JFe?VscqY<K*Q8e4E)dCwdLi16rQmB;u
zV}7|(sMMl7B^ua4t=624B2ytm%V9;P@F0;5#z50F%^SasDhj5A0MRr}BR~knibCO4
zo~CIUFlNYP{3a?Z7@@RhSP#C5awtVd&`psoNDVNaKp>Rsj0U99c!u5`vV;aQBukzm
z^h`RP&+D6Pu5>NHRL;W{MS(w=cGhWp4_EGUXzbBmbR76RV{0sCT(vBfbH0UKW7=6~
z0^XI(1(-@+2`ZJxsEixA8QzLBcQ%~ykM5>uO3jev;5fy0SSp3`!cR|3O-=A&Iy+z#
zW_T+y{R`cbbEMl&@9RrM&aw1_H7N;aTtf;AmRN;lrkiyWY)f6A+A4m&F0BrjwPh?x
zj}q*CYUj*?0`}MTDZ5t2e@xZ&TC_Ojavn>vbT`pG4Abep`(5N>@GRCCww*RCiz*NX
z9+OSfzyaJqL{l7#YMVh~XmGEy8B~>-#(i!x8a&C((cZ(zy-6M}x*kP3_y*S@>;{Jz
zKuSM=wk;0xD4TJ|Zx?keVPb0cH}Uy(tYtX$|D5<dX^lr556dyB*U4hH+jULM`Tr}A
zq1jxf;z2zB>Pa36|A`?=?Py#U+f6UTY+G(N;n<^0-tJQ1hhfO|5;!o>FQgpKBZ80v
zyvcee<#h*DEgF8>HaIWwacx9*2YTvKfVwsyxO+)5{(3I)ZLZylv*fdpyLBx{L5N`H
z5%c>+as0pMti2CPQS6^rGjZtn`)2W+Ck*)4<u3%_<OPc6^1mWP&sGO?SEe68Z$=;1
zG>*ENNs=rD=3<nxIgLO#8e@Rfw1sa2bJH+W95hTsVJZbwjb<xd>Ll8_PFD?CliLxs
zI9qD_sh|37SH0rB+7rYxM>gcV^La3W#{6+b-FX$~xIxJJ-v!4XF|CDUve*Qy6`?qp
zw9YL{QUf54w^{ZU4rXe37iNM=1PzP<md~}4$zlWC{LZVc+Q}K!07Fy`^R8LQHm};5
zclmhUfSccW6|5Kiyei>50Qkk`rT>t+9H=JzlB#+pm>Pu=2ESPJJWYZVHIE40j4M7P
zSn3yj04M>~OurbLdLAIJsEP^zl3IwOsG#b)8Cz!Fz|uP8bu+Gq0YDJeV^hxqk`YXe
zF6gG&`?XS0cTsE@&|^}g<?AL{t5$`x&B)T-5%=WOlnQ+%TRl88n|Y_VEvn}7rWsO1
zso*35R=%kZcGJpcXGV(T0@KXrs?pHZr1sk61^ilgwfHcMk@oSEr3A0c@>EINu*ot9
z0KBFno&w;#tdI4w7{1fU=VAOoHb|WIG1!qeEa<*Rk|_X~y4v)vW&)QRShcNiu`u0+
zuoy;=&o|2Be;xf|LojID?)Hf8U;pa)ZgCbD_w_VS5rHA90L&*cZnb(aM91qS0xQOt
zI_&j2%%AIpLA#YMO5TJlfWj;?Ze<3@9#BJ`N}%I->S>9yO%uX6tIc|T&TN=dY$t>u
zbZlh~P+@n{&Kg2!+u$@0AgM1AvU?0!(hunZT{imPsEv>Qck}ykW()n0F3H9{NJB>b
zz<gFeImE_6bfZ?WnKU6zq1{aBM}H7vBH3ha<kqTu7;HxTjQw})0d7z(2T%F_Q?KpO
zb8atOu^tB##lHLG&+{rxRfAW%{UQIMP19@p;?@-1;_{0VDr!+3Rq5!998oHjf>+lE
z999|PrvpFS>zlbnNVy<L<+EE&)axz;m?h27SZM|TNfR4eQNM~|>df(|CsF~Q9k-7(
z+O1cfz|ss-gZUMK!sdGlgKz#G_~0}GKNLELspS<hTUwgz$|*pbYtPm!MW>2z#l3y>
zp>ulMT$;g1nEs*r8}Lt;zm&_D>YQ}&UP{0I_ZeommL;RzAbRn^>jFLER`c4Vt@)W}
zt9%80CiMP!Ni9WV-b$}+CvNtP?-SUJz;n>SG~~k&rVgK8Z>4EK#?)jZBpqYcdnt`i
z?Rq5FKd?)Fl9b^g4XAl{-y!kRYW*Wzg!i<+mo4bo?Az?!y^Z4<w0c>M#*>Tm!Dq{H
zrs@Fni9-cK<}!H0ICW*+(A*^ORJxFLpHS;&yL*CaEg%HQH)w5rEIUS74;tO6nE7|_
zhA;pmH&Q)5`35TXg65DlrAgWyNeX7#?M`a5&XM$sEN?;Hm?-z!a6!Ox7aw}uFh6JM
zI?&|O-e!*wT_@xfN8}_QQ54mzb{txiN^`Pd*y9iG>q#OQWmmaziU4Ad1S>cSh|>Hy
zY7asUrJ<<BRA7O*#NlZNWuEEM$zn7iC8}K&LM9AED(M#QKek(wBwYjba#;$AEVD=h
zb)85S%&K#}-rR)=*L#sMP5s%{))sN51SVDIXtxN?VLXhF-agO>u45%?^ybuAfY}QZ
z3k&V+Yn0l#2C_Rr(l<13L!xP;BF3rvg=oB@d>z-pT}bwHv~^MYmuD?YJh7+{Qr%Gj
z3GTig1%Z5}$2e3r&J7-!7u_@TyC_lp+SF8ZM5l}&QPd!xcO3}}S!rB-4cK~_OPkF-
zdrqo>Un!T7v1fPnyr`gBreAkXox6B1;g!WwDX3NsGOp7@iY&0?xcPjbDvite8Xc#2
z#eoB}vs&5tduVIYXk72aceIQMp#pg=0<p=szat)2jKS(vae;l3_s@;w$7%Kri6gEL
zHLWqwf%otY5gCSM9d{8ar#Q2<bHZoPm9|zrj#Po6#)cbsziQcGFS0DdIPMmWT=a}V
z3?38NjBh-qCx?Nhw*%z6Y7Nm>&>vC)HiRJNk{}GyRvM(zY?BQq2zu0H^h%@9jHR-|
zlC+(+vR1p*)wm@KLIXaa8$gVG)#v%=5qLYwxSEPMB^aUcLj~+;0MOakNiwEgpF+=i
ztCgxmAyJ18&Ppq;b#c|>n(ud&X0)(av#5*#1AwejWm2JbkhnPjEK@sLT!@;AD=SrB
zCtlSM1<zGyC9zL;oSm;m5;Q@Is`FCJ?=Q`&u2&F7)g!uJRpgAk#7%mJ07;gM6OE!Q
z!$_8kjftWxfds<vW}AVAtb_9r2AC`I7hjC2p=g?7P*Ld*2(rR4)<5C^=EU=LL$S>K
zS3^*^GGzf!Evl5~gJ8Z~kw&#*O@&?JzF*ComSX6>t8)CGGcz*?w^uUUc>o<i2RuD9
zGc!F8=3RpW4QnZD+K<{*UG)lSg<z$FvT#P0CQ$Bh?(&h^5~iQ-ji_onLhqaWum6HO
z?_(|*Ou+zdL{3~VpuSHB2#MQnym9>EeF|I=Bf+Ykx`&SYvK%})@!T3u=r9)loPcdX
z$=c!2se!>L=Ot>0%dqVSa70kVrP5v;A#IXR>!ICuhzZ_)k-MsBPnvRwouZ{TeJR%j
zG#Gde<LKz;l*-M{_-BWl<chBKW^$0f*q)dzLm_`Xkuudf=U~H@6_xR(slN2U3Bgu&
zM1I|s^Hr9+C2IIfnOl-X>2#!BXaxj;QEIXyp@nh@K6A61W$i%Zb}HjL)(Js)YI4_(
znbp++`5l-u4esjd>S+6Zju3|RdT#aVfAsIK+n8Qm9jM>B^45u|!-uD48FN&bHNtx3
zjfYoPS66fMOwK0+m90OQF>QPYIzU^g)=o!6uxdC!gQbwF5rQ;O>PCpuIIRjp<6J&p
zTqfj7!gK>av@aL)`P^*geez1aV0)<~%xg+xkGa+dvzwti1k(W?qLR#BR*I~tGf`}`
zoaxTY=J(pM;Mt}EjDt4OzuFcMdZygoYS`s2QqahWSVlhcw6JRfjXJ!go8=kCBNxDh
z-b3}V@w-$3vST0cPu{Q|3{V4IhhB}|9QOw3xd46+5Z{H?k<(xk)#6|P=$Ar<dPP%&
z(z9L-ooF&FL7ine^#ObexHm<GQRT!!vTTPo$6<r_LbsSWc&8%c42X!a7h$R>6okqS
z9r{}n%HOrk-Z*#N#Ef30M;F<O=DF}<`hb1R0(dAQ>!?`ryBep_hL~A&l+T5qCSc-k
z7nMc*F}W>Ph|nl_C14|``DNH`@$arPKVHY26&1x?QHel&lqc7H$M`AL_}`}9$I<>%
z+=E|3HUGt#Rf;_D11X@Gav|CifmV|6j}o~$E`o0q7kXDV5a|wtps;7}o;^Eu?AY#@
zCO~1&p1pG>TwwxB2!U}WF<+^_j*#x8*G@(s-F3r>@%NxJ{$7O#n&#M4Gi9B+(3y9P
zMopRO?*Bsrme)<kDfXgwzt$UWO<zLlgH6WdoU~?82koXnx90o*S`SxV69$AA{AtER
z%_OHu_7i3X=ORsBlhVO~cYVF6CM!ROmGK{7Jc{ThpE#)XTV&ML>lCp~*dGRvedQq}
zXi1jzfL)p+QrAX%g=w%%!wT8lD^O_JJGN*I$`#*yI2q(rQL&MwSO<+<#6H$fIiAnn
z6GE7LOEXDGLCqv}qJ|oZxVeK6fnwwJ66@+((EcO>Q2AEw5pbi3dq(sniF;YrPuF<_
zx8NMpZAo=(VNe2~QV$#_kZ{O2b{uSRNg5)k2f`S;mZ7OYsEZvtkZ?|4E5jN5<bz+|
zXM_+~QXN~8L6H?nR#Zi2mB=7iI2b#oqyP}dmH{+SBqA${0<zA^5m%)Tk{z}6=Wr1|
z>bEkgS%>UM8=NB`BE<|pJ@~m>H|vJ*DuyL8ZQIA%Z9RXC*8gyi0eWTeKg;dCPt1j1
z(G1Ra<#OB-W^Xh+Z`vXU#!e$%@t56)PNUn<!w5CJG)+C9z6l`gNIw-C#E!*!r!nC|
zZ4xR?ziF~%rv(8+S}anuV+6iey0NnKHINAC*c3TcA$=KWiBc26W;`EN_njI6K+(3r
z5T2q40pJBW$HAM%m+|p&d+TpA00QN;aXzF;wE84EkRUwnGoA8}z+(tjfRnC#v^PE)
zwCqk-Z?z&WVTv<*HI>cKV$0nSw&zglO78)JSV)}RzRhlzw~PQX%_HY1^>t|W?nL02
zSC=1I>cG9lh*3*CnsR2Bto_R0?fQa2%UT70o+#lvzT5tH!0WYt1qSdfwB&IOa~3}c
z!uL3@SneW4f!6s1OB&AzXwDQy%Y>RWR|q~iX<7e`_`Zhc)=rvgGK`rcYl8X4V#yMC
zQPt~p&j0%?R3YZLWs*Oa>nbtfl1bi%p=vLsY=w24RR?ZdPo4pNELO_$4|sc0TDtr`
z9KOaVt$V>4+)I19kkBtEgb?Yb!O;bvBP3HC8X)BcNjhoUSc>)m%dOPMmu$FVA7HtQ
zLieV9bF%P+;#GxbfQQc*Z&=n1(}$xU8it?&eZhNQZh=+xJhLsv<Ln~%x-ifdt1zkY
zRoB&<*&x5hwf+yjiuTxp*YT)I214<v^MxYdwRi+RW4f++PKb7kF-lw01CTWE(zMsx
zY5ZIBLYy;Q*KCi2(yr5=rv15P{9A~pc%zSy8Q4x}w`<+?DSW29sbG!7tEHgb9+01i
zZt?RVEDX2Lt*xX5bm~<>Fs)AQA>T3hc}`o`=P#oeIW@<lzGMrrHq^rd=(V4qVt_t1
z)h3kvI8*0SjkyHfX3kCorzrX+BoXUjco^OZpjB~w4D>;S(qspoZ3R<KyQ;R+;Osk~
zR&qQA)U9<~>J(RC*jJ4BbZehOyU_`BLtF!Pdq;$`NiHIJiqof=9?fh)OIWQ<S<4?h
zyJ_JD7l<G@dkJLEUb;4+uyf0U)gX^=yuP&X3qGFlne}?GBG0W1A}%fWg7{vsrTB!W
z;E1~<8nPzEE7RH^dM~#>wMJNlZ|PZvD*#&==^!RRnIxu8BF#7m)I+p`uJ;d2`vN_!
zQ>vcsa<ayZ$?<dR>+2CI@KV=<AXlyC;L8SEBfNWBr5Za;FWBbf_+Qu8*Y#ey@OrLV
z%>@Ci0UhbWKX4O@6a!F%apbF{*1c-1Jf6ZCyrz;^`%zTZ?}^Es8HBT2+IZKCgki1G
zC=?*h=R7Z;iz`!8)hdRGxV@B)H`%lhpul^OF16zcz}4#1R3*;kJujD!p-^ZvYO5}W
z5fDuyFfg|AP^uHn_a-OHCCj{`RPESx+&8UKd2-V8HS#SQywmwx`bG_E(~hsEARjl|
zHSx=6EA{B*WN2msAl3F(r<LCFg$A|3$ARH&Ax|p)B>BSZ6HV$q4va@!>;?dF$9qg#
zotx`YLz?K!&sF(sg830%A?+)?{oQ3f)_6Gtx7spM4lO{{N9!^P>2P3mqw0w9A`toJ
zng+NSwS5tON?j$YO?2zh&5GO;h(aikEzx9rh$LacDs2Aw6DLme&$V1Nf5m@@qUcmR
zisRS>Fdu(-*(vL-R}j&PtWhq^&z+iVPWSu$z$aXMA1s_WaiV{19lkZ$-FiDaAbO~4
z56AO+TaZ!I!dMulVu(yNH~am5vOw+2EwVMj+ic}zk6XFS)RcmR<KczG61%HbCv@*<
zkl1#wjRIT1<Sp%_D!~&gD=UM%_F7ha)0$S*seEo~GM}HE%;%>Df$cN4H0s#nkv;fp
zY0Lz?F%`~SbImn|aZRJq&;UxM|2~t}Xf)mn${XG=(rc-qX6xes@aah&b>(|i<2NWc
z0>~r?)ld!vD5#P&$J7iC3Q2LFDQ@8IFTabs)*!t-;+V>Gs~9n_lf6+7;GMSg0FB7o
zO<qL@?%3#XIPA5j>ZQmf%VSD>1%3_uDGXDhNTN9CPID>O;hnt=XL!$`F6dMD<Ufdh
z4gCf@vTX>{C{p33Oo{5HsUO)3w;qzM`UHMng`~z~rHPMbG6MWELO35_8)x-8W4d0O
zTjq??ZS!;Xt=D%Cr<B%>)%{Xxd%a)(=}k1WEoGy>Uu!AX`|A$xuS==*{(eKspX~oj
z-}Op<+>@jm`@VedEB?!)A*G#q1jW5CAJ`ee?*LDd#IYWU_s5=NZ)bt6Z&{)pZTcMQ
zu8&4BE-Q^X-js)}7WRwQR5>!^kzy(@FUpKfRNh^X1L55^z0mcR){GgO=nQEzTYLQ+
z&O~Nx<~L_Rcq(-vK3&z@w{>ba+k6&;b{3xopbA;;K2oP8gQ2jg7n~^he>s0(Q&}w3
z>xH5sw$mtmTmi^+X*+5R5qvEpZ98&Z0_cyG8V>A%y_nKnb<u|8NogE4Qvjm(uL<Cu
z|JoA(YNi|`pNvI5bHkRz<~UZND|H_Ytfx38Im``-`6);R4huh{3pkD7F%V!y-}0El
zT@~}7IbBu<0I?u3Cgq+e9EobPQ7RcX4m-DFOCFceP~cR7$jjZE2ycI}Sj41j2;at~
zD%mng@sMW#u)QE0%J67+6O#fqL0D}oZm{iRjquWgQ)!>kBJy&NEYxSeytA`INWUfd
z4tKF=6K;Wc@#tmkvQt{x?wL@X)a_mEnL<Q5Aa43{A)g`PPBq^JYJUz4A%v1ttR;Mo
zIf~vE(q26p7Y5mJK;mf^H%q356>SaxX(tIO5@ag&^pA2LTa*IZsEsu%M#w96R7pFI
z7Z>B$mde)Bb>rA|rM7>_NU04Y=B#1Zsm68k?t6045N6Igm>Js<JLw(|xMkm=ZKE}S
z*2dOSDJg_hN`6F2gAgXhuo`v@Q)lY3H6s->4z4ldV1n>d?p|XPkL-oCp7OlUYq&V7
zS*pfW!o)MROUJ0i@w|gpI^U${c7yp0bXeM$gC04YgxdV(xJ)5BFG<rH^H0CfVe4(y
zMe8Fl(z%fvogMhFUYg_2HOl>{DqdBk6syVjBoRs*u+;#6l~OO$xIp0jB}<*$Z>xQb
z|DeZ#hPCSkP$Mu|ncoy=kqR|L)%N@FvlJo9m_i4zVsu60s%*7n73)W6U%auuu2!p9
zw`8?it;&|h`?t`LjG4Gkxa~4PaS05D*KgZzpa7IPNwb+aOqG{<=?|y9rScIn8L!1#
zDyO|#FD)-U^v)ZxEOPtbZvQ-d6a1p}sP#7MJFK6!If)r@7NaaL;$m+Ra;QmRex`ZG
znjLL=0aFHlM^P(XloQG(T$jF1Ci}-@(`=aM<Ywp4oae*%Yt{y_E4o!%vR<mtv`zCo
z8)xqy%f=%pHqsRRhp_XrK@dnCCrVKn1&G;N+YE)Fq)Nq!mccszRAGpi)>>a6iM0$K
zrvvc^@BAyhUJqovoCHF&iITLwE*ZuD+-|pp2$JPkLJw0W*XvX&0$<po`xRHdM};pC
z*7%D4>-qENA#5Sg6rYj+A``%c*gAFU6s8(bD}?hxa1a>>7-oh?882B|G%t&Fd?W6M
zjcHpwq&HH3iBN^CyVjrSHy6TZq<kh^fYDEz%zs;)M2MM)j+FNB`<3IU?`L~{3b58z
z#k9cY6K&f>SeHuBH4Cf|P;Yh`G>T30#NavRW<tO20zhUogo%k5GOmj>0i-{XI|u{g
zdK0rww{(A+&>ajM-8c4B(9O`6b%Q(m<r1Nl8YLvdTa9U@+&2re1=BBAC|>6RgqF(t
z?%0@q>O=nu+sq-?1_M|h3<iS>>(?6y`SmHF#^T!QejZqjQK!?se~M0Lw8pmmt80tf
z(L|T&>W>fpC9urN9{h3}LUh<`5;Z<5xh2gk9vQK5Y5*OSi}-P)stpLgq2tnZ<(R{&
zY2Rz8x#0bkx6nkhUE!O~cuuPn3Kqn<Vs8PU>XrXT*{cGig)SRS;|T<Gp#R@b{8GtJ
zRxe+<a^=bu!IbG3H>Xl444Jm)?d{9A*5Y_=YqYYmz{Hib*cw<zk$uICBvytY(nZ<^
zF|043W{IPmYF$@r#uzLX_Y&?nxufd!lsnkLeh{&cqZl)WW5iTs98hq1?URf24}wz2
z6`^|j*nD@db7T>Gfw3`T<0yP-T~CxsIM31i`uxAyT|x>}M3*|QsZ9#nR74-mtm70(
zv|rcbEVt~7IPZqCCNBq2ct=aJM3U=A>hT!+qDzSEkY@U>r+D-1fdfdIx$9hX;K12y
zk}VVE_kx#=hA8!urf=HI;+T}Pt-U6@{}F9y$G#5yvbQ;Z#fk;=ll50*HK|xY^RAL6
zsMS<Ih<S@4sJ7Zp+9*8~l19c1V;?>Db_trlnl5ec|9TpMC8*;VrNIxYi<Lw$21IM$
z1igX~#eTIR5Ep6#B?;P4f+NwW_KQLkdV%q^Ccv0TDvQ<72d#|bPyu^9C|4TYeU1v0
zCP2A}7b~?wq79XbxLV-4;*3`AO%O`%tq{gk9SiMJDXGy(p;lRp1*br?3Y4?2+o+TS
z4qs`m$=MmC4*}o;##HS&UBg0*{(S6P_fs5^nrr?CH2*UU7)V{tI#~W7s(#zXDwBt#
zyrxN~`Cl=?FtsZs#4Ng=`MR)pXA3WkD=EDnfYhDLvt%^#pWtv@mJq-;JJKi~ChT>P
zsbfk>>`c5?O9bX2EA?iO%#Sb+%#fo$;kPr6(VwYLX!bj0-19h2(py;2*{m70<YUp7
zK4yR7DP-4kpZbJtESb&jDiy*$Bw^dg-N1P)S&jY^qYe!@zP^rN53R2sH}X)W`#(UM
zNL-9$J^+~;ht&1X_Ni0bJGzcnt8i{Xm$==&{TuN2@TsU#7<<?{>u(~<jnBwsI;s9j
znXPL_QIAi-(@ggKmi<#>@qtCJ<ub#HTgArFS%uEi>Ep%S_vRIUj(T0M`cSoTq*2&R
zsr~tE^`ni#MuFNNfA@X%d|W&KJP14v`y@R3xgZ=2_3za=A&&+SlD~cZA<-$96}DF@
z6`mbL;KZEH4@>mRYm<nT7M5(xE0yJo8_9lt9Gsn~9XTutoXEFjz3*tFst+1pfww@{
z5kA>uHp=|Eouu8wNWtEedpESiTw4+Q3VQcrGdNqbWDHZrsjJMd)fJVUqT%;1eLU)D
z^t;DDNJ{I42P5RNIC6lceF(&;-XV-$Q`=?$syIjYn9o(M@t(m3N^3^SFV^g$I5Gp9
zs5sJ(DR~uoJTx~0Y+il_9^GeTXv4^VQ=};C(VOegHb*=6lkZsfSx?G)>TBz~rcOO$
zO{0}E@LlnEgKYkSj+Ls@QfhBuHU$QJWtY3W@a7dvOZ&0DalWDlxLG$K;$z|+@*i;v
z14<0kJ4xC{fr=wR^P8M5B+3-kJfm$(lF5*bF~MvHt&&|Z^68b}temvQ<GX6DX}@2U
z#-}<^cVpx3$zWaB>w*iu6?p>C|BMgDrM!p#(av$!-NytM>$d2=@1Dh-yEmLog0Jbg
zr=C)2(lJ5RL57tw1drRiL<p6+qc8Z8DfiC@NNM?jfN#>9{-db=kaluO2`O>=9&l!W
z)I-{DA_hNdjr=4JdE@D@NVWn&e{iN8#R^gVgEBBCRY$3jCcH3*!kJm3qq!LV!B-}H
za=ar7;s08=8zl)E?w}+=J42Kt=x&T3y6g4XZ00KyzB38RLIMa;-G1|%x2r+`NKxLp
zP%6Mh6Z-0Ixlr1?HmIIY5K7)}@P!1S<N`MDPY_DZR|nU&7y9?CtgM*OSNBt{wHBb1
zTLLJ#N`cT?rwCRQI^eV?R^QsP4oQ0>rFZE$0)&T6GbX9dQ^7Ur5DcVNEMoCZ4<!8B
zWKzN+g<JwN;%2nG_Msz(F+P0cL$6<fTcCBLyj0eK>em`t!zY>VC5h*=O08D;)Ka<8
z1i8FX>#IPQ*P&+l>jR7R`XXF|dSh#EyWVKjxA(Rhb=Vb-ac$lU;!>oA;~Gai9NCUz
zM;Kq_bdawm9OF7dN2NIE3C2^hNzO3F5&l;Jc+I+(aTTb(ukeCv`IK;tnkTkK$A9VF
zK}_L46c1{rF&K;`CfXCg9;cWyLWt}LV23$Qw8o&d*W2FNIk2{&w8QKlK^tE5ASa5F
zI=@qfa8yA=DZvFA@r`1>KAtRjS_3wwTw2}U-db_w591F*=PZoVK==*fvvKj$<!TYj
zL_pmVpbzPZn#5?xgw*E>hEDm2$ih^(?yq*wckPX-ZkkGTADb8+hFsfj(IL}y-eN^0
zW(-TJH1?Ii?n=-kJIip?L^7|TOlSu+3;=?Tf<zF(XZIQNC8+g!eLksJt!S)S`8fl7
zSM*IOHX%q;vK)V{TMgqh3feS^`}d5;bLfAZJ9jRE;3=x$%{e8sX`jjGJfj_JX7y~q
znF-2Q5SmP=G*By;LX1{uzLn+#?ZkCd1^KZs|Krg4BfIYiW;*hQ=HNSa-B&^K`Nr=$
z@*{TVw+4ejc+ye8(rx>l-CYZ&rkBb7m-+P<=_HA#y(rCQHi@miLg0&0d;d4t1t(jS
z{Oo>5Kbx3lbiGB%yY{+v^QOHB^feKt05|79U&(3fiTJZv-DfOY@li!8c>oWjqYqe`
z7JPoF`*rNGDmhyYB<GX)y3q#Gp?|$(){ga(S3dT&pN-Ot+9VwF5YCQ3VRv+7mBthw
z;U!9`=S^kVFcv=>|08?w5MQ!9w7ET?KIg?P+;zdx22<m^MhOr)41yRzVmsiv;2Vq$
zVTND`$FTF)vkD>bBa9O5oNHD1wzG*_b|1Jt!qhdGG9oBtlqy}SI2`#dfE!>2z>I^r
zn(srY<djh$QkN=vHI%Pa+V=3h$+~d20(&HTA-caafUgb20DqQ~`U*UI-+lKLeIK;)
zdktf>U8~vJxQ&Kuv|T?45Xlk@o2mCWP9bmh7r^(6q3iN)RokwqRE%ruT20%oS=>Tk
zJHI_<hXQm61p(^9HqOpq&w3QDKD{5BO3bI?jb^6SbCwYbBbxHb8MV{_+dZayX+pQ)
z#SyYa34*LIJ&)9qXN`UI9G?y>IgD$9nT-xdn!J-2rsS2x&8GgQeK%=u-@()-kcWOY
zb_OwP_>8CIB6^B*P(M!Y$?(J(KQRc1ga5$augUB1|84&h-{nyTv^1ts&EsNCt&@%f
z4lIy8)?6iUlZ#(-tw+vOD(_odT3Wmj$Im2{N-{ZoILopX_8v|cdxp}L`D=)sk;LX&
z51(0FT3UQxrE(*wRFY@ncyi>Yhr?mB<(}Du(q|Z35&Vo5Klgfu9|G?fizjwHyaSQ-
z4R{N{UjXTE78#mE_MzvQTh=&$1~!=H01kS27tLhX%#B^$=gbi)uV-0yh9Nkx@@Xb}
zT!qecILdda5Y+Xr$;@Y^JTf^Y=Ef=7=geW{IO?y4!{He&R!)tXoT>fh{~dy$6xV76
z&I`3#NDKnMSpPyhK~l8_{r346VBu)T36Di!jalRk4g^9GfTKF@kh9*JCb=*mkY6O4
z^z%`T2Ye2^#beWaN*g`=XAk+-qEt2ST=cMC%VaV@o0}&G-Q|iGxK498+(cj_Db0Qz
zf1M{WCMZb|{kKZdMp)Q^=TF-$Ai$X&5{k0ngHH;ncnbvL-1e!0MC&I9mdirKnC((e
z9rbpF7*{^Q5+e~$ueHWlm`K*zJGr@uqOjpQUa(v!;LbsJ&bgBqvm{Pt3@I&qSQ4$3
zP3<n36qnj#)axs|yi$BH8=|`fh}E59t7S_CUawbNt_7ZkQfaw39cwAUY;G45{nv*T
zr&BEicpF>AfSB7iK`1GH%`rETEcCwii6V{B_J6fJbQip<9aT!SfCH1(3{~webXs{Z
z_~+BG8L#Qnl}=|c=yVn<QLH)Faa38HJHJv4PRD^e0AWscIw*2;t_~MGXS>@%v9u7o
zZoE(`emkQWr<0Kfb7+!A?|CPPH+wLfx-*{hNOq#E@I!HmmsOU9uAOg%MO$wmw4;e^
zaFwop*9A{??*R~+dDrJRNoK}-6RFK%cDG<sIJt$weH+Jz^WRXrp6+vj=#UKeJ#~CD
zXc?g!oXYH+li8~?n>*4;gWuUcq&UY;u~@4Wiw@>oHM-qK(_L0)4Nm_Yrc_zUdO}f(
zZNW$5C`nV>GQqZ-n%UgPqoU@tYYT1Mq@H%-O6;_=X6=_H-#MGjU}^TF`b4GvVRl1p
z%WZ$xkHvR5>A6T0K_tILMn~NfF$1gtIEO$s#EA(hnHzna3zkfepH2vDfrNFB{7(N0
zysDHU#8yVwE@g@n$|^R1*V4L1sg@lNO#cU*l*Us<hp`YuoiS;<k!DUQoKEjwX}x-t
zZo$(*5OBH7h|<2K9CJdk%ZyJYCJM1dJCXntGJ}7AIt@RzIRX}GQRiG>N&}7PohvKg
zzSbn{)mx(n={Ussc*F+`2+pmYc6H@)+xo)-g{q80$b&Se(dlHPHAYkU@-6Qx%I*cM
zMH^B|r?^pS*7%RBq_m3y@q$Rf5EJ!$x4{v0nbN5dTo~8&jKY-OJDJ4r{ZL%6DJ35B
zD`-AAo&WiQ+n(p8+?SPZAVkoyIYY9jOAa+<5gB4cM7Sq0C7ftmdvO%{5rJ-Zc3{1)
zsMgNVC&HLh>86p%#Cns=aHChPS4LS0bKiu`k8!5z)6tk6BN!3xNCZOBc$8AVlRGzW
zj-O4r)q9@mMNfJu@r9}JJhMJeXNmKCDf9k~?~JR}sv|wAZ6-yaIl~NdZsXY2LVAJ_
z$G53hZ=KxSL<F8e2w_)qr2IfJL|SHqetsPp7kdWw`}4`Y{9i*}!KUU?WNI!sgN;iC
zGA<EsafHVl!#(Ca#~8!X6A0<R1rSn4wvym`#>Cpzgb=-~(dOpKD5L;Dki@R5Fp7k6
zjbj+2z!a?BzwcJJXTIntHqoBEacpXT#GIPp%&9rTvUJ)$x?~OI=hDX|z&rhqTUS$h
z@n7~h<II=YX6UJY(xA@96SgDdosB=Dj(7XbXieRKxxC+EXHMS8Ss_G@9Vb}J^IQau
zgYVTbKp%Qh$@5hbA;kAzfV|+^$OF8q>)U$0t8KsAUGH|!cDt`%bGPgHw(hQL+wb<G
z-nZuUkF70>Fd5hm(<v+w;0S5ZzdEPtuP1ziVw{BC?s(MgMwoHAeeZo+e}6jW{4!=t
z^=S%SqOTak0YLC%78X7Mp|Zp({X-(W`(sEQ1It6rI<ANZ4_Ep*D12&H<K3yudSRp=
zzx`mvRVuKB*$h}RCU_qH`G3KBh1$SIo7tG$3%_xi53)gQs1A~}LUjo0sKiBMo}#mF
ze6X_Yej4_Z0EjSSjA3H=yhW6O=N1aC2bAG!EBqv*4<n=aeBabDK!`90z+nU-Ab?mo
zjuDFEGMklo4QuJ@q2Gv=n<a;=Z?<k&79=|p<9s|B6Lo;onvOW*oq|3De-c4`aT;mm
zD7PCJ_$QdOqltTR2a{Y&29R^DWTPvA4FEr8dXNp`(c*Q_-u(WAzhpcz4p87q3&w2Y
zf>Q2ZKC+Dv14z@labl^(h|bEp<Qul`yLVf1hNEtGH12jo!kPNX%M-Y+JzrbleFAqN
z<3vIMc%G*ibJK$7+cx<abSbriMv?$so9+arFLM6N0YLC%l^(l#9lP@3=k1^Wk63RZ
zglH+7aF4r5DFxZoj`q1!f;Q=s?^H5;3%+bP!#*<y4da;D+IWQ6+Ppvr@r<?!=F5LA
z`j~O!*fvR=4)Qr-Yje<GpV-<M#xeEOm%6Iwd4zCgjJAo7&B3o0N~iw$|Dg4CjwZf^
zP7~G{)09T7R;qogx2ZjL($Cs;%uk&<CB!LC8E&;OqZ}rF4YJchoMx1rrkC-fgTa7E
zNd_2WPI0e?DaRNqLjD>ZP_fEz%VM|x`S$0KfM2o75s`QJoz}NlKRDk0kO?hfywPOM
z#$>Gc=*jRFP&h@^Jeh-*I_`m{Tj!X3n!+?6#syoF2PkU0WZ$yP0c%$~6!lD1SHR!1
z%9+o+Pz<Lo?`9|KWUT9d%Q*a$8%3^b?1hC006-xQO!pDu7#Syy7P(kfdgtKLV-F(4
z5jIX7RXLx(eEylmNMX*^mVO=KZA1#XI2^4@*&nPeHKh#ZpT%T9#gs9;h!~TPb3pXf
zN~MAsQ;%^#6q9wf&L8mbs&U;Yauw$YR9FT8DB2+xi&5+tggHVF9y@w)N2_JdtDno~
z-^{U!szv+r*8h$KnU6*lDkTY|Y_-=0t4A@=b%H4Z{+MJ8RWM`pwZ|TNOfiOM)G+&&
zl1HEZY3u9Td}?%Ru&h89U^;R?lymDSnF;zWLK%94=4j<lFUp8_`?${#&QwZ%v;Rbq
zzeE9%G6zCPqd^GaB?5>p`H1eV@k9tniGNQmJlcmI7ViQ2!TblbL4i_SYEz6+5Fm_c
zyM!qP+MvrF9$I==kG^B?x87nsZGF!A|B-LzQ#B`yAIUA9lg*K=Mgfo1&j*0kG=MpD
z%*ttW&>56?%(%+vKy3HYxqc6NmSx`e!zjn!7q#nKTMs?7wN>ZLrW8MmJ4f2{?!M>o
z$M3n@^VGv|3o#=$<MVqEX9|HE1jZO<j29URzYGAHaU>Bqfw$}lO%S-JZ;qb7oP%f2
z-m4GKqRily&j@oIV=7_n7=-YnTiXb2Z#{|;GEN*;jAI-|-WQZg4uB2dSP|s=lu}HP
zJOSX8N`V9*m{M-S&~*T8d4sLtd=9^YHT?Yl$W`m0b<BE?UuM8zS+Xj)6m}}kBF-J0
zYa$Pv=WUq~$2D$3V2M1uNDSUX3kHKn+;)H&S6lbqx1|^-LEC*~Fen1?|L+l`-W6)&
zd>#)KQ9!Yjm<FhbrSls0jvqW&O3Q1dm2>!PE2Xt^S~_^}ctI;;v**=r_51xIf<Vdu
zP_bWq34Ht4^ZnKn*3(2R-0946O9Hj_w3#^k*Zq!9>6sT9<t2oF5#Ws8zng#P_m&F&
zK12%odQ#l$5uz~0ywGqw^EXa%o_=o}upauqB8VU5Oh_%J7-ziS%1f|XaTcXvS6Qvu
z=m)C}Q>XQz*P+N&SY)bI#KHT}C`(d6<kFwJAuj}j!NaB<q#&0G+9p<x7R6SpD6~*Q
zh3^EdjXm@;|MXg~Gof^JS7y9_&j6{oxI%>`K-=-J@Aprldt&XMcUq+6;j7Zlz&**X
zSV#9?r=4ZiH*st}9!F?Lz46p{uuwntRY4%q(Mg2fXlaR=Uw;E*+6vuj;Qhif9Rh2s
zw|FVz^vNtj?*j9f4^R5O>0Mj<1Gaf7FH35()@^r<4PbrCWqY3|4hDmjI{BUYvJvx0
z{`t;mmB-#jOW7v;KrsLnTVC<QlfSRLdt56y(9W(?a`v(W=B(NkMc)nNKQ&7>#z%=!
zpq9L}(*Yl&0a*{QMDM&1H&v!x2Ea=1nj|BzMB&7^g;otG)IHkV+&p>xf1Mu4Orc-A
zttC#fWDdLwZEl_f_x2h+002$_R%dRRV%hE*YnKFw%FmW~{Z*gej&;&{&vC>5<8c!p
z4w21?hnVn_Lbr$H5D(`xADxf$K>&t8dB3sPeupXZBX5<>JA7?7{S)8ic_+wo&$9aG
zuFHT|@X9OGm)pf6sN6uP(7U9z_Aj5@+(g&HqK1ruC0PMYaJ<xT-=40G4RpQc8+wUl
z0>f=K-Pg|GYcxJrK9r46KypIO;=r)^^2;w*{`mM8Ap~EWz{zd#Yo>5t=yTu7p;E;U
z9yoB|-YQpjCy0OJAOG<mS6)6&?<<&J6VB8Lj6MJV0Th)Q#>sbdb^Qb-RL$j@CB~;?
zYtJfKJEM+Z&Ux#ib;XiD31vy?m;~xNiG3XdEv}E$fzuACZDJu2Ff#!mMaZnIi+jUg
zwluRj4A~F20UeKX0Zp7ZzXb{?wtg!1zk0#(DT=DAf{QGF*WA+XCbywv{wKu@@NAw#
zCoMOr#o#1O9zo}S;&~plGVMX)%t8|ktl6`eR?b_tDa^je2?^T8_9<BU{l)9?=KDn7
zWxZ^@$|1**TUZDO&_!Z6O-G916gE|EpbpdQ6h>BS<7)-C1OAOpLA{wKqY>S+c&`{S
zC8fEp<U@SDZ~=`Mi1ucDnFgn4W&ZBBmbmLzx~c>Ec8iThu_zJa>M~Ovq4lDuno20?
zK4w=+bBOMzXTtt07WU8NM&ao_&Q<OI3I^M1igRD7>$YB5`rDp953`XT2rjWmI!dCK
z7gEedn$HCu_q}6jOig>-*J#Q+I5J3EBdViOhd2$|Y)s8Gn~i1z)0CP~`_pM*s?Jiv
zd6Tdeo2e(R#mlg}Wa<1zx!A~-i?(a|e#=|{7Xd=tE-rW12K_rZK4-gs9ESIBe6H9I
z2LQnF`9hnVKYu=LdRp7se}QAH%LV%Qc5EUU%%9HHdfeO8Hy7`B0fRJJ5DdV4pBY_!
zKdq%i?8AmXi`a+D@ZwEB`{56NxP(C4-XUMxh_ylg>+q6w-FicMWzfKbX)j27=4aVp
zG?)xqZlw8tVyQD|nsy2+Ze5y;-=#B7I%$8|&X9&A77PrDuxkCXLo*JHD?%wze6l?*
zF$5HP)8;Tt2xi?Yn-DVpuL%?oE5(ZcK$rFbe@Q6K1w#lSCWKN#Fbyn@XZFX0Qid_3
zlwbfr)WGh<sezVY){|$<X1wD!a6SLF?GHfz^kbg&ude=m@gY0WAA1MfGppEvD|m4g
zg!L3^|1s+e)^A$>Q?GyT>?4)kI?R`P<p!qd3Z1*d3X>;4^zqMmFd7#IDGa9;n<Z&u
zLYK730b}LIa9A>v_vV0X=Lzt)rU4Ptzi%dM0;k+Hi<Lq_hyJhKL_Y_iGG9Jw4BYoA
z@F1mcv}C*o2dHs<Ur3Tt_p5y&DRE5@(YJN??H;NOe{CE|eX6>!Acf;BATI8uLxSrU
zlb$n-lp8H02jS`|UrI_{H#lWbfx2GsL(VIS&q*9RE?K|mO2S1t%Ug$m1H1}n{J&oD
z3g%2hq#4I<ueY($>$z*^@41=_!S&c92-We2?ureBux|pd`=8(Etd~CMXU4Ss_hI|s
zc`mST@4q)=n*{g&Kfmv{9={`6)6)*X`=|XYw6E6w%dO}iqiZRj#h?14g%oU?Q4`M<
zeiA#RgJ<ZN@jr{Xg_F`i5Y#!6d#t0QT0s2mGF8DgJrH+7UiwmRIL_ygoOY@W5>so{
zcyjhQ8#QCBK!u(~E`b%L2#BE^wj&XHH5by9y!)M<KZ?Q?DOz-2$aUa{IGnu<u2(oz
z@LbrtDJSRzZ+=S>46$z^8yTp8pzlTW1c~~205tNhvmh?eH-A(5ExMC9zVt8hfohel
z%(}Cmf%x174P%VXfKo(agY!$1^DIiZubK~%=!g!GIQv-IFtu--rP&15{6aAd0UC`M
zyL=H4hQ)%<q-5{Da^;EvP|~>wl+NEdec+E%D#(Z7-SyN@Q$MZmeM{VEw%g_VAGpyN
zmD}xRBj)_)H#Rny2d=|8UB%OQiE944u*JRk-x|ir=--u!lI*Um9ERoW_55GTMDm)?
z9awi*hvOD1Lp-2GDQXJvwBZQvs^305h=z{@5l!UjG*@F2eJ1s3TKeGG7aiCcvw~8%
zXj#IU|3w6)b|#$u@Qt*-w+jkg!|&DMzW)pCmC7NdUASJgK;e7;6_0Je+D;NF_3tCX
znE~VR?DcZ?FZt_PISfB#0Y0%=NAmCRrM|2=QFEg3%Nb1_nGOJ*It-?+Q)|2;c@BS5
zZnw*>lT<3nabtY{xbHg`Fa1cV^u<e;F3lc@sku2`g$HKv1ErGd#PM<8H|Dr8&c#bV
zQf{})^EWPCx^(dVb7t%)9K0?x9jjtxtd9*1S3*2sk~+^Bl;Kl65pft_HGuZ+>w#0u
znRE@roGK)j(<gkNE_FJDp!Ds5y!(OSIr!&u=gtiuxLXEqPZ60PGnw*#Ecu)eDWXH0
zx3DCH^$F=aAc3^FJ)|gw=NV5CxbIQp=bwN6`LTMB3n=Am{zrqZt(L$0k1DlFfK%Nh
zG-Cwg6rq%ujFP6N9LOqN2I!13Q(8G{Wk{YVg+eEj7G+~qpZ}fev7<196uQ!JU<!jX
zdv@IBf9<>0oz|O*9pZo2UJI3JUi2gu?_=Xml1^#CMZGZ;=fbS_aB;0!w%TG(`mC&l
zc4q=tIm^ychPG3&dN;Q0i}>++1mQ2wW>fqu7)(Rl`bEpNO1_@~Y0|TWSv?E0X`W}C
zOLuO}%;)*E)`tjm=eN2*4pqc+Zhq(kCNa9&7nM3h===uULCK-{KM=8Pa9zGxqI1Bx
zuUVe8!P^aTAN$9hz(kKCWG`vWM7iEhh`p{<hkq8ft$+8*TLg%C_t3bG>bB3Z6lTu|
ziMhXBtv%I6Gx)Sbz@JYZ79Jl(W_DIrlQ_pfjwr>+>gvu9_0O$)R?*s0`TF&nJ8-}d
zXS4)Kvul2`E-+HU&4JL{;-fWtQ)iE1kfe>vM#^&FOE9cmcJ0+fsv#?m67g(;{B=&n
zhQ(5v+G$lN)WH6u;CjtioS(c7zwY*;RkH?GZim?9nDx$RdGTJQ$1|krr|frOE%Y#R
z?m78VCrO)78;9dIHDO7xDf3Bz3zNdK+dT%;b=df7e0HDe5WP&OCIg}=S=OYZ_PIpw
zQ=N4}HCe+;y8Z-*?%XY_>SXAq{fqwNB<n9os^eZS)>JO^v*dh#A;}I=JL>f!dv@0o
z{J51#)Ns7~UC`~<6W?0b%nb}QEH}%F;SzpuaWgsK+TjGoMsb;dr_xsDt6alx>zVrW
zZ)mM&D&(bC&l2*9+sQ}?j}ArYDEvq|t-O#{;Ztg+fBU~FrDpnQNemx_zZMd5_SF&(
zuf?r7+^~E;)9LnVG2ChE9uqTRd8QM`$bGqamS-J!SDxn|UH81zAW4ElQp(F!`y_Lo
zr!9uBreh+lo-+Z6s@jL1hM!$uU;k(xBuTL9c@HCm_NnUpp9Axp(&bdboL~IB!%o`O
z%kt^^36&pUW0$0D-RFyNWmg>2A=0<dUT8U+I;c0Ns$$gGI6i0&hAEHcFdIy;#s?bN
z0yD0~Nx$A+;T-<3P$&e!{`c$;7mCsR<n7zH-*a0#7mSj4k*MFediClFV;*tC(2bxQ
zz6+p#t>5p@Fwq(ZIB^wzrcfw^3&m*vd-eyx{MF6<nG{*XQke@z{p&xLx?$)(VoU_x
z?v=0kT1z>D=*P&3tMxX-R&a9AI_A%V#w4E5ogPlJH0uNs7Bk5tWJ}X-B<UWStu#%Y
zo==f~zgsA1`YibPG7h?-eEVAqQPambnH`+}k?$N)K^yK1hxLhj-WO1O;)y5x`f$)>
ztJQp`ErI!sh*(9-4`|LluJ9|UG5-4v+-I#|E#>pIemt*E%|4k>#Nr;NOcx(O!<^M{
z@?F$zv8@rp9@7=7KnOB_P{JeM{N^_c`FRbrr*B#jMorMey7{C=z&=zajQQKD#S7!d
zLq_$h0LKp>KCByoLaB27VnHRAZeGcxCmTmS(*n^MKmE*EH?bI>mj@0ZzqWd9Uhp`%
zltPMGpM~PA)YV5)t&L0LaSX*lI^4KD2*XRB*F4?Kg@*l#H=-<pJheSLqErkir%MO-
zlr7!HX}w&TY*ix|8vN0RGw7t}$jfd(NKxZ@V!<c}(>M;wnY_GILa#Gz1b=stD8b>h
z!&C9>_2|#F+jC%=uo6Q-pDWbk6);WsAUa+25Ny?1P<X{T?M-{afH~LwJrlruvA(hb
z`h88SD=YOEO#t)vKms^;@X*37PWO_%>%h|S<4c^N9q0tQ5m_^ZWSc=eIdxTE;VVih
zJ&LUlqCUCtBFuXrR6o#}O6U8$4Ca9as&kffOjvum4O4J}Cdi8nfJ@zy{HZAwrT1%F
zGXb|bqxv*}xh4$H%7rFz(l*Z!mp&HZvOV?Bo%HE$G324L%)s2OQl2Oi7fH4qgI%b1
z>PG3`EaVJ0Qx2qMv|S6DmI)M7XiBv3s@ePX`ez8hUtNCr<(Gf-uloJSyBBQ*lq7$E
zTXyig>H}a`+*g{i0Nrj46vuI5unU|ybLLDR$eI3cVc(gzz!2Wg<N!Zg@OnFUrzZ^1
zipLLO7KY_P=kV4kbQ5}IlnOg%b>^CqBY4r^9!<4uMic}`V4-0V_AS7aQ0Jl<l95d1
zM@SJCfKnW#8<thPkz;D@<JU*7sJae-=U1l!W6HUXD^$0rJC|MIsD^M}BkxQ;0*0q)
zY88Z}5P;yrJXE5|VCh{j{;tm9SgqqawW+BB&F5>Y72gAh^M_89o2E#+!{uE^7;>Xp
z)#QH*N8^M2rfHh(g`5mzHPm+FAi%ObX#(^Ob2+@#f9*TyPV{V6-Q+*;kos&|&VR_d
z@cL}}&#&7J6a(RA#`y$ETO<64txoizzT)T`J?cY!E2QG8$oO?QUpvP$i+zZa@WCXF
z56GaThJ-pZ1#!;;lE!J)UMv$NMF{=Fz5+?ZheF$tmlW5j{-oN=#hd?(*!xM<b(FT^
z*x~rqPu+Llee5ZH`^`7s>|ev~y8ZUs*{l8czw2G^VxM5YecNrf`LEXdH{X0SyQW(8
zVI<683su7aID8N5K@e5}1*YhAHnP^ba5GWW3w2WPp4D{^P78$tKvXzl;#eyI#xTc;
zpDz->3)+j}7u&H;sUElYU#UA7CgPntj(XnF9XsO*z>a?9{`-wW!Cjf0TyYBpp=g@=
zM^S28mYGJ=fSr|b*SFKbF#X$nYWhH})2SVpp5m%1Lp$0N!&qP@#mw5#`!g<;G9M4_
z!OF-|RwK!EbiMu$)ITVdN^TU`7IEyQ$r=WKUqh0x<5of^BU-L_s^Ga`u+VB!aGXNB
zl+WAnx<;ds1B3h9yS^zVidMVQ3M#%2Vos5{V#=0P^ev+pmvbw^Dwvk6DY_mYgb+n&
zYlQ1^dZwT2$#v-ND2B^@B1TXgO_F^@q6LMO6a@5@@n5@J!0v$FT4_A})6~4@{2?S|
z8J*$VLL`3{UKW_-7p4Qm_uf*UX2plU6?)$>_{|7Llv1{0B|+1^fg{9uL}{D#31s}I
z;&TTm43@euo1}|&+t@A8(tvje?G6FtO{@!yU6q!C=fE;{-0Sip*TG<#Vcqooxr+bd
zZ>)kLs<!H(X~Ko^2zvij@bmRoKU2^9g)nMK#%jD>@~gJFi!+<18UAsK(TpG*1F3BV
zv=^a<eI}z2d_eu9g;kv%Ax-U2@Du9haO9teb^P;c2vPA$Tk#L}%f`%aNS5Uc299Oo
z`~{(^?nX~{J=)uFiDF#Ht%~^@Oa1|&6wZwQ;wG2JN^0JYq*Q4)Bp#SE3>`qH?7E8n
zPB-GTQ}=MnUSOOnBw13eaRh2QW%tbNT%(O9E`3pwF#n~XXMA|zsF4N7b!q5h;noub
zfGFR?O<D0OdbD?hsRgzV?QyJG<dqlnoIHcfU!CB`1rl~5?8?GNpZ%&Vm<b^&wL%M7
zH(Tp^)-Y-CjXvti%GIH*R=4a!$9h4>6cT_GlCEkMcPVEf9PI82Au;Ubpt{>yo}0&=
zxPeuw^jn04&!y`tY#!AOL%&+re>gQ7jquw>$3Mz!)?g#DCJ{w3G9Hwk4=@<trzoHv
z)%B}&!=Qh7dK3Ucq%^1*S-U~Sz$S9}str}}Ubrn6Bcj_ZD|N0))L3;!iHJ?bnU@my
z8$w9IY2bbcbJ+0uq5I}HzZnBSxl%3Jo@W;$%Tjjjz7D*;tv6MBkBo!$emZ9jC&c~t
z-=FSQ^SKM^wL5p2<a)qyaJ$#_*HXnpbNgme+*naAe(1~fZNW8>+Ba>wE1>(9#DuIA
zd{fuabzMtzs@o4>1HS+rcjuCdHRm)61r;(~UKf%iBg3+9;DB+tGOCoZlop7(cg}By
zVME($Q_~F1k`5f3XDJK+Ed37v;Pr0+5AZ*X|7Z6*G2k|;qiGK(MGZNqCZw8n5`jVz
zO^}r;Vu~AxK!LK7*8#ng-SHonFz$9wewpA}EeYAeb3`sz{J4rlW3L_my+tbdB6bz%
z;q0Hb&7ACZ@muqS2rfLws@0|+?}1!&qc)&!_^t%&T>m=kMrYBh)JansU|A#_7?z<%
z^`S^OUi=N5Yph&YDup@A)^$QOZ)!%KnesG3fa-RY^F{PU4XL&5uiM}6ilmvQCMk;M
zIF9`V>>VKY7-aXV(IE^YsRI-Zu~*mzYd3E?&g%7GoDBJq)#NMmA-9f&M4C_>S1D_y
zl2%q+N12dF$e>i3X_RD-X}XbXz*{_j<iBb;e?f@vI~eST3K$n2vH?5a7h=KBNz<hg
z<Rp`Ern%+!IqAU*coF)T^$m!5ZX8$JJlJa`Yd21a&<Nr*8<V7VkLwC@vx!a`Nk=j3
zD$SvnO--|NuHLa@$LbeOqoOzNZ}0ejdJjsHv|n%zito=zQbhq%<NzR_&pUFrDE&Yx
zN#hS{iXsk4<rSH-9i63#i$M^4>ni!%CMdl~Da|QFHFtEoQ`}HbpZrw8_jI5tag`lM
z>2Z2&O%>cQlmflHr|23kl@?)HB)3g#W7@*>z38>*O*T>?dE-&iWnga%`v4fY+$Zwf
zu$}(PGorqU6&%dBw-Ci^b|KO-)r4LjOF%g8v;Bg7_uc~XE)LT|kmgyW=E3ioUKEW-
zQ3UHz)Y^!<AUD|596{;m<><F6^oqzVQ%=kIzg=90Z>j2%$Myl|J^~UzSTX|wigAZ-
z<JZLS`MX7(w+*hWD#8q57@9&^Rk&f#=@k$~>1K$Su)UnFTjR~pbsRT@$kJm6#Odcr
zya!ToH}QYor>#1vpTu!kW<r}yvzaur-hE{3=?S4qe9JnFu{SatgmD}O7)D(_d0tMn
z?>+U@Q%}YD96&A~%U{UhI`8?;q6g9Y&{rU=4)rjnGAL?Kz8F{LD2yv{ly##NO%fu+
zRv3Vvlcn8GIGMhBkKx_vK5I%I#P;LntuR&ZrGP~6ZSB<9#1&=D`zm;<{Mg(_#1*dn
zyXdXPcc5_}gmoh-8PtC%Zkatv#T#G3+kGUA=kdS0o?p;)aT9?yCGFbLPyxLi(ozTp
z6h7Zz-feuM9fDmzdor`xsdT>iKHV&qw)sKel*>*K_}fZF+*;Ue2%#IC31RGNwJ@wf
znmQcp;*PW>sVZTNsH)UTcigyZ7mh%*c1f1;u3b06U0TJh5&W%Q_pnFA;y!u>dKf*4
zJ`jVgNe~8IO*73rW*Q@Ef_z1|rW~oG!VVhI$<ZJxK{TMgRsvi`1q;5UL<B-ZYHUH6
zIL)Z3B+8bk;{|>=5~V>}t`U%98&sDhof@|DVxADQe$rxt{8X)zb(4_%{I_o}mP1Vg
z42I5C8FSqL44M|6+TI+;{xDW@D>fJlR=Pk=!Ce0<Vb}d@;vDsTlWIy{RRL5ruadXd
zYqe5GpA5n<nAAI^TCG0!yRa|t6j_oO4=DW&H=s1&Op;^;S{vJ{DQDL-uU_lCUO;I&
zr(1rA(_{=jR?r8%pscLTn9q9nV0;uG9C>oGQAeQQAxj@JhreIZbz@}cx}v+D^`}~R
zQdK97CHPCpd#=995Ln<kr8*CcuFtl&0$Ek%z#Z(TEsS8fFJtGS6i}<*GgF~$+fq4&
zGe8oAuFZp_O3X!>uESn5eLt_YqPSngl#0rYYth<`6+tO3_T#7pk>_+R&y0To+V~ea
zOVX9%_XMSo&3%KQWk9L;UQwa4mBVS$Ew~LDF@WnsA1K=M@lwuMc(>wimy{X((ffvr
zsW~v~=<S07P4-JLmWjYJB_}<;QgUbtgZn~=01LyHOe@$3EK~9gfde6g&kbRQvM(Q}
zB-08u(+(prt=u><aS|Z{7CgTWOsAe#$hod=hoNn&8Vzkr4TKOPP%S&8nrho&XzQ+<
zD|jB&8SY&Y2(eYO(Puu#zjBFzj#^iTW2(3wguVlf;(qiIS*g#UBkYP$HV1}W)~PH4
zUDK3uK4q!CX~hQUtM6l9a4cy1)o~m<jH$6sUYj*YHglzdeGw{t94)+on%WE#(e%7g
zfZ;-vnWhQ!!M&h6-F)-S#In4#hO@1dAg(5CZgU!I{s@IVTHXBCwHg<hLJoEU1cn+6
zaw4gSphNjKPYe%6E>ftd8FnM3sg1Z;M-mMDM>-0Q*kr1bwQ{4Vwc5o(>WVA_Xn^+E
znW~L1?VpYM=FqKDgpf6{MLQmrMO%tm*j}i+?yn%c_1pMn_!4TNUFZSym`_02n_LdR
zIk`>c9jT(!njO1rQ95|(z%Gz8S=tQ~bK%A0{%{g{SvZf%PB_4%zYv5C01N$AyWxzk
z7gILo7EDkkW~b}|5dC;rW}`Q~=}ioj??!|jY_(c3V^+cv-D*=XCTl;}B$XJZ!I(@f
zT`Ll7S@|dOVQAW(qy?U&1wWO9q3dH3%-P{f`jO0y8B&Xrd9fpB03?3Pcl-Sl6B82K
z)?J`d<-mahYTVpaH5ij+nW#o}@ALt7B@@9F1=l4LglfU#B=8?-uTw&nb!Pao=6`O1
z7f=n5eWdA|gP@WJ=ZERVFid0RFHtQZzVNC#C9P=Q6h7L7Ucoz+_OY*3&`o`^)9Kt@
z)%=?;H}!p=0(AcT`SSc1D!GtPxzXXiM~xH;6BC63dEJDrMP}L3YI-d#7G0bE-@y1^
zG~K;v==YDg(C_#A{0eyFkw;>%t>OjEGW~TyX&m%r!N#{QN2zEn#xePgf+~AK;b&Qd
z8o+q0kL|$--DcCAlnS`%Xl)n!dxk!zxlRw_!85^`V(frI$md0=WzaQD`-^*<4!B(e
z$WK`|<4V6KdDGGkkfRuXzGZ@C=5c@h$>>+NKYWl%`4uKh+B(%IMf9InAer6Z%#M^C
zn|)aG{9*^?MQ@{aGb;L?_V9_b(a7hGU-gchBJ8NHYki^;b`&TheWJ>M(D@jWvfa2X
zD)S`;Z4@?}Kd?_(CLdVvm;Q|drADtJy3)PGgX8ryd%8~6bbSpz=UAz>CyAu!%Y0bK
zktxGWSk@JZtTDERyA1j8dP;k2*1UGKmA2ZEY`uup$QIj4oCuRYMoOswuvOPT6U+|{
zd@Tf}3<e(5K|Ja16{ca|)PA5u7@wEVi*cm<Kx?PT=$VNd1IH=K5mr?k$uRYUAN)Ww
zwPhB2v&)*P{mzW=-DM_ek^Ah+vSFHrysY8GwDM>g?b0C{@I}!L*~C%Zg2=8hwbu@;
zZWZ+CCL!O*<PlDX-O8W4dgDQ_hi!bdjlmCU<3i030P@wUZ#b1MToNEiXN-T(#?j%j
z#&0-?bGU?}tru_vzl~fp8~?UI2eqmshl!+{WtSX(HgP#+hC8W?_W&B^erf<1e{y@<
zA9gyOna{oROr!D4GtWHp%#uCe1zo?Hm?pXTd)x2ja=Gv4o;zq+2fuaj;KA=ADsxAB
z?cJobwS!!9r!j`1p9~3-Gm)Ub39Nz|?2pR}J492+pcv#n>B*fl(`?L!n2y=>%+B*k
z+LH9{dlv@PBjOjbf(^Nw-*gKhocmG!pllzL3}7^pJvjTvgqo$<MgArw;UK``g~bGU
zLBS@UX49g$0(Aq>yh@rQ_zL&+nZ>bCZZ|$<K`Hq9Fud~pT=QJG#-J*@bCyxcX0JCm
zp~f}fdbJUBMeBYGAm%Dx%<BuLI$!o&7!g;#*JwUpKfIzcgB~amN=a!4r3O=14%hQ}
z>PQ3G$}VMaz4E+j7G94}=p0+gG&-qWfmd#IxN^lF(>8|*myyES5Bmm<DDKgyG|Udz
zBqTRfr-E*{GonEji%GAj$m}@P1$((2hG0o?EiPW;;id|k+oi}twf#ORQ80a0k9IDB
zxRvh_EWmDcjn~1z&hT#h<>z8JC8fs$_#`3HPJlCE7sa^{6(8YQX)=!Rh!%s~*g8q6
zh}2lDl=dM^yfsqU{i3E4@$p4rULI|>TG&q%P)Kk8o{FgWo-iQzK4%P1<Vm!4`t)gk
z4{nj(tKAH+;Ntc>fp<i%PoT{K4hYJ4a+^hJe=W1IN+-e)6s2gD%Ab3@K~SxoWJ!fD
z6HtnU#_$ZVVp~%_BLrbxaE+YX5*y8&ukk4aHXC(2v^R-=Bh-EmoxT9Ex<=Se9f$U*
zraL1?*J!`UnZ3ct?+G_-#)niah*0=wXv3%TTh?&=<Bg5`JtAlJcTRAyYwX2)TO;^q
z7-0plKg_s|Hzr6aqGy!z>0&{Z%&(uC>zIgxY@=!}=^^qR{vpl{VyTkEA9{#Ol4=oy
z^M_Ut{S@AHZ#|?+GAnUzkb?(_!Fh?vl6vT^|NWU<3+U-4u@OW53C_%i9JEfNt}dX8
zsA6oKENb@|6Z%Q(<HDqArJfdF4H-3AN_vd>{we2p&&y#R79^So=(O(BQ>0U0zLvgc
zS>*QujDz2E4wz5g=K~~tEHS^2HU9o>&7mXcS|2!Omg(1}vB$UzZ*emgy>;DZWjGIX
zk@j$!%KYor`0`&9kdKzzJ>vST2LOTa#oGDc*?=<k>GZAl8CJ)mGVp?T_>8#kEae7}
z=03fR0;;Q!AJSLh*v+UlRod~EPPCil&<Q-p&!FwT%{FElu##uE2Z&?T_4si~dV4ZH
z%Vjy|X^&I)={4~yruepReICuBz34Q$13ik~g`PuSt4(;clD?MfKw`*cZD-EHZpz9)
z3!{6-G0$yA;}rrIT9{$wj%+nTh*Hv=3FIj#(knDC)PH(4cW``Zh5NSb8l4P%2kzYK
z+8^F<#UfK}fLhDT%l<Z!ma}tOU<hxvSqocEmHqVkVwg{<A4(lde3i7;Sj)vNaGo{G
zd%xd2+KaA2cc3?*_oGjvZ|1M3*AD8j{)}q+f)+wRZ>^iX2SN-?`doHRR{m6qr1%#<
zh)oM*lR?;Ner&yVy?kbXDj`T%mvCj^Dmls;)3H%9cteFCir(0gOW%Pbp*p^3eg)Yu
zB42nr6pK^$3>+ev51$GQnTg5=n!ZbVM~70x6SGUKcQ<rw=&@Ef3WYR|w&~t0c)YBo
zwT|R;(A8cC-$IM%D7qazjy`}st7R!SRmN&GlIX6r4v{5vw%PJ}6{3b=8iZLlZ22u8
zNiJ!n&5#zZb+aQ4;%6YmMD9IGQZ;<SlBCs<k3oWdTVATBDpMX={0SY?N~Kvk*+xtE
zBDiOAG@1(miGTmmBQ**YMFqui3$pA%&M4#)05Lmz>Qs_YP0DH0S5XO5YFmbZ0d&JO
z`T1ZXo}HVWi>9@lr0LD%)T!B7!Elb2-_A`_P>{G`TU5s&X-~)+H|PJaaf92IPBAm1
zsM*Zt6-7}Ri|tuek@3-TJ||<zvAa8nD@#}{IF1aj4+F02GJwH27h%rk)~~K4f1+pr
zmSIR(r#4WmNLc&lMx#OHT)v#Fe9Yu_E+-gcLN|YPW${-uEGd|Rty3%+h6SK0mZoSD
zRxkyybc!W|+W<G!9Y;}%g{F$J9BIVElB^<xWQ1&9W<uQz0@^FYT@9+qh;ShM!NtKr
zA}u6K0R|K=UQrVBWg`Id-M7c8PsE$9xuxSgU}9<CLk5Ml&G|B6cGA!)dNX=2`Z4<3
zo@i4ZF6hjBBj8>wa2TnN5XWnp5(td&MHlV}^&kuoK_c?V5iSYP_`<4NiW2Bs++>Rc
zaj$${bwxVkEVxSB4D^}!*l5sNd;IwE<7@Tn<w31BIa#X(y$LKzC>2KD{sXfgx#Rz|
zEX$J_vrJ|%RdO+QC6yV>v>1~;%afUIFTS9yGuhMLy(n6LrJL&a;74KYO@yrCGn%*D
zatj3q_tcO2>xa1$JwYjD=Yx>{y9dH^a9*XK-1h78D^EADrNSM1z=hdr&3ZD?UG{Ay
zAOobA0wqqW0UfZrj#Qwfv)?DE#QxkBY9GR5;qGI{j(za*cMRYEsHQdfIn@YY?_|9u
zj)GQtr&qaQUwUstF`7eT*^;(&hm|*FRMT3vZ5hzC>6pGj(G$Gai{miU_kKvbHOi<u
zwQF5=i?>sQV;S)yL#4gw`eXD^j)Q!ixRzCeuv-_VjurqU48?K8Q|R3MnlBmtQPrze
z=DYOb0^j$i{Vz2ePw7P1Ad=%SSkG(3pA1)H%+Z*?VHkU+r>Cc#cIW17sZ{dY$!sgY
zgme)jC)3fN+k+7bMm+_lmE?ksZJNXzy2d$&6R;}*aq$RZ0Yn;UCf(WEK^Pv@H0l|`
zK{OMF;VqmiSf6m#io3bs8HN)j9X++Lt6C`dRMV(mC{zb9(dZ^oEtyIfV8L1!F3i=U
zq}!OVDGlLrZH-ae*5Ujf=i04zxkVHDqK5(wZwE!4BZWR_mx1CZZjr9aalarQ){zjF
zvNBu!rUGkm)q1AP{zA40>l=><dTr0Q^eSS9y?frZ&f8P`Wc46+pBf!>nf~P|UqV%6
z+G#KuYIvkFZS1BOl4F`5V%NvD-C`4X21GHN>?NmQ9*irxInU+ecuEUtB4wT_PA)>K
zu~%Tyq!+#P`tC~@1+?qRz<5&^>{o0XYG#|79{-q95fGJ6W?_$}S^fBB6{DaQ?Fi!g
z(d>@!&8t3+-i<znK99bQeuDl1{V$5^Lx(s^dRO30VL9(UU;pV!$CX^*96IAcsMv5&
zY855PN>#s6*-*z@d1E_e$y#OMuX6G@EB#;i#~5sa($okYSMtK0R1W$8MSX03oz;GE
zoQl-$UtW3_)W?^meBS)7pY8n!;Ov9e!kl#%m#@C7baZaDlL>mY*kLyp6Kd-T8{-kL
z{R~@opG+oB{;o&?cS)he$KQRSzCZE}q6LCnn3H$Wn|VC~#<4<sfS|b=>@7YFb<O)b
zVJeVcK#%F%zj7Ob{Nlp0_$Bt!(64L98ov^KgwG`QbiJ9d-FMh%qdg=SSddCDVZ~aN
z0Vhj5HUa7{00^-J%%)WV%U`i6JU&Ho5irEtx1WhX$t{|u##Hy$@Jm<k+9|=QZWqU}
zWb<&h>&9z9M=as75jg*>faM3eln9m-^ORrd_v!NTX^p69dT9HssmH+NWf(A34FM+N
zZIC%e?^qSHc%a>uXlLVX`VDzlB979Ef?@At+Ka-IWZV$Dc8(xL#k)nbVL}~e6$cqz
z{h$p=tm|uJC&kM@h#o^vqIaP8p^u>F(Pz=OB=|Ifkfe!BrIUWvYH|JaD(xB!(u(4a
zSp&f36tW216!|8hLpDJ<g)TbJH`_th#qIawK{9H1SF)Cn+d9-1upW}HN~U_S+lF70
z3CYN6DYWzZ!O2#u<&!;<_7+-a;I7}HFt=T!LQrk{9GKJj>y6bZ2&(H;z=~(+pu?a0
zj(@u{p_s<Z9^$t&X;0}<-m}()MrFn@<@?JG#o{x2h?i<|Z_muk47Zd<`PxF(F8@9=
zGgFyREbjhV`4cJ7KT_6=Zu;wsytPrDF-+xwr^(AN@xfNBrAd2;f8(<X=t-cLsk|$%
zL>5D<`swe8R7?Om<F<<SXp)69H#O<NJ~=^q3Oas=M&k@WO;g^2$D6uT-v_!r<iBif
z-8my^0>+6>tT|!mmM7YWho)p^&!6>cKaTxh*CeQ{)Z2NI@5M7!EZlTu!}og~)a+YU
zzk@<A!1o(h-n3At`QFce{`2=3^PZnqNNmpD&uco*A$@FT+h_%$@s>p5KE)&)#+-(M
ze4odm45ANG>B;R5vm{g-ivKa|9sADZl_D8$NuV)S?ok9>@A<^XWcG4PMCy|&>tolt
zB|cJ?Q)5N7(x2mI^ZyfRxA7E$8hp0h79#G7`kEgYS4=*WM=~?qEo@w0oJQBcwaWeT
zQLL58=uea+wv^?1R09q?b8|2<=~^$+-_%_|l(rq0VMi(KxS&)FG;kd3%04mfBemlZ
z;xb|YV@rvt#Y)9Me9!gP(jVzROL)*S*>wIP({>JP1Ev%^4#PM;$8J^wQ}t8|0+dpq
z0GI*?AdbU<5^J?Lh^ekslq8f=AV9;=dK>x}`YHuLpqn}=Q;wHjy;~wj%lQR^H$p=)
zr|And3^V#We6}NB4qi>*e~3yAHX0<JVzOQgY%3|#GabR>vndTj{F`VBFgu)7^^|&0
zwMyt6VnQZq1jfuLP9ChI+Pro;xR28-hNo?A2SPKmW6=?NyR+Hup3?u(a2^}E$jtbm
zw5GXCuuh}o!*O~NINy7;B+&`$Y@3Naxux?za*$@8Cx}O}kkQMO&ehSVWI@+nhLD*J
z{#9wVV4mr&tgN_^u!s^=U}`D2E3Ve+bk30ajpe76*6#0`)r!rSU8y#|yo=hz9=Jcm
zAer-u0OR2O(|5i9o>%A}>c#M082!hcAPj@fA8X@kjf24EQgS;8@K->EjdqNx7r%@P
z+gRw=_T$XgSFw<4)g`wD2f0kJO)-VaHPe%FV-g!mMDFS0uE-+@O||?8Vy-Yg%l|0`
zc|}yVqtI8yttlt*smon$(wikDi8~&<Ndofb)M)S6shF_Jt%dT#XuBdRj4|rDjw`v8
ze&9P4TgLZ{0c<JX(-sEXc!9AnasAL!Qb^bFTt;CZ(woM%<0YpgNh?-yEQljkxwWE1
zxV;?;Rk^joqBuBKSe2B>Q;Fx;<C{`=M-T)aXUg(j*TEo#@7ab?OZ$Oq0E`>>+M>+Z
zo-ZU|$8~*6G42Hj0rD>H<00&$&muG_QVN7hndG|;nf}a9c3h65N89u*85@YSx*&%r
zTA%n{JB-S;bXZ1lB<_3HNWgg2$w+sZ%6Kq_0r4E5DAv>D;OA;fG*KCpc;(=pMEHLT
ziocKJm{7_a6f_6{8fb%4N@7e0oDV2o<9B>U0k1Y1fD3J9t}BTYYO!9kfz+AGI551*
zlq+#}I=$|?>9mWbtJo@Lz%#|_1ngRUQ3*+;>t>cNFf<yg7-+^RB{8OhN4qtz$n%_2
zN<vH_698iVzbHh6Ql1kmFy~lcvetjb_c6Uxb-KgDecO(jjczryq-2f7#Wh0el5obd
zDu#oSfPCEIBEaI}<0N3Uig7h#jAK<NWNmS=!KAd(YPZphY`cGW*zKrIhJ8XG)rUWB
zSx1jzP_N%em+ST-EqFYPwSuPdc)cjkO*x@?`4Q!Mxn8boA=MldgE$*crUVy-b(Wwa
znD9J>bm&S~#I$~h`i3Zn38$42hLTAsKBo&dios-EIG?Hq1n?|bR0#VrH^*_z`V<Hw
zxT0C<y(C@1gb+;nEar@{%%se&GU^Jeg@<OKIVvC|P}7%p7$v}LOfZ%KA%PrCf&Q#u
z;g%&_%BnU?O^s58vG@6ZNs@RTKu#IM@kp)n8(gUjVoWe0BnR-_m@&q)%m?0UaFJv!
z*;Rlsb_oyy)WI0*=TZ7xi7_S)U4Q`|=te|aHnUXlMvsG^)flH#PlRFL#8dbdlBk2W
zJ>(Ug)qjbsKM+ki$p(Y%%&?Ld{fqe#{jksavGxrUammFhUU2@*9ha<3CdFGwv)Qdt
zBmlySWr7FP;ze=vfBg2p#ebtTpcv-=ld<{#gal9u!Tc{F7#qUeC5SH~tuLY&mRv^6
z7y`%nvcrj)x{R19%nV`f)DZ4WFF2f-!f^)<;ZDJ50atBpZEbCBy@Ze*k$Uk>05`>6
zDt6|7fBp5>ulme2#5|PB9gKHm`j8>UW&Y~*jA3G277^pJsL5PIBIX(rX<}SvGiEc_
z5F5azDg7q`_%4j#D3G`awmBVsXkL=7M8en4I-VxI6-?x`QH<PQVxtw-t?j7EMk>mU
z$%ggn4v$9BC>cm^1O`VXZt9OUerv52gCeCD5YM-x|7<!QNoVj`<p8`Rty!bBH~*-T
z7n70;E{bhVw=Bxx7;{T-aEZ{QGFgj+C9J8}1^n?Pg32oOw6uwTT>hpvqS|O`eKH(t
znS+vyvsQI5;Xq2`KY;YNu<h@)9xB#%^P7Rp^*lENf`O?6y~R8TGQx$l1nc(R{s6#)
z8^x{%;Cf-?LhEh_0Ar!0-p*GDNia?#x?n1wYXNtGg$c$9p)2{emRjI@U5N@e3OyIV
zbK}UB9qD^3feA|rj%z`XALtx-YHa|()X*Gtvlf7L)x@s@d`-#)X#)m~2>`fRHP5S=
z3z!iMw(NzKdfMp}!v(6fWR50M{w~8*6gHa+3!P3@b;Q$Hf|V`UQj*Keo($^^l`t3+
zp{m!-s4^GwWQhs8%YFM`Dx7My+gVs>Hp2)E_8k=n)(%rj(}iKt>7?~a*n5I|E!-J&
zyFsH;X*^@X;op&b7uD>9hwKnzD<l9KKmdhkl5a&Q`*$j3HNX8I^SqDKVZ=mbKCK8A
z4e7_vPp8v`X`*T_`I?lsW2l*a+_jq;;M;$@|63r&FuWLpZ?B>Wx*FYf=JP5jsQd#G
z*4Iv#0=L0K;_lL>1Gelw;*fb>TQkeC<0I&*bq!BGl4a<c%9-yw_K|du04Qm2z8~NA
z!{$4VQg6qE;I~`rWDm$6eDFcb80$fGu1Sim-ml4<nYYVG=U=ni_jEUgYOg(4$}ukl
z0C=Hsl)C=OPkyoh5Kn#>idB5L{Yj@X*7m&(-Gg3_J^>tRFofga15cLw?NRJJn)S(K
zv@Dkn9|ys|vMjn|?qwNW4X8!EN|}0Z)m-43WVGT3WWnQJ%CKXoB(MGg8Zbj_FnaTB
z5X@$6KN$qUO84gr{;2-j@7{dj|ARSPV4<Va9UN8cZnLnN)w|_(+5Wr@;mZRMRq*RC
z$EBsErS;57CV_5yyhu)wQXyv1r(?8MTU_IpHp}zbl;U@`co)8f4xlHayD|ojfLp9e
zr(B`y?ef}5tvGa+(HlL`5SX2Oc34CqAMC-_T)IM!inz>0vV7_&dNYY`Mv(A|0s^<f
zFUN3BvaH=+q?FPXfX4hC4S*FwDO+r}GbU}N$JVD74WNmI_KTZBQmrO1{k7I!)phn9
zx9VNFx3|~CT-%z|zr=ms$*MI>2x(208_lIji(o=()vUwk=&B}8cgMqlPPYIjR~>1F
zaU3>}z`t;ANA*UIao(s$_S+u{`n!%1J2D74-QdFSAs5{N^`8HzB4n!&gYIxhjv{4c
znsF3IA2Ld*)HsEiG$$LQp?9gF29(eZEEtNRh`LC#w=wJvib2^aOA#jkVpUw&;tf;`
zXaSub6zk)T*SQ<Tpm-LDO32qbETcFshw)k*J(JpcVJ0s{S>ud(UeoL4dfD9``L9Tq
z<1p3aFplDE#3_tgjzG^Rmi#Bm3exUz3EX2@p4Q&2#kUg%z$rk9Vh73{6UX&~HB&GG
zxBp>)fl4oHXGRub#y)8KEm6mG41ko0V#{!lLAC0*oL~S<FvXY>Y#_<&Ak6dge7w=`
zfu9!jnsOX_-W(W7$}M|h#tZ=vJV_Uj!>_~^>NRCb3-Z=*(6AhBH3DCK32m0;T}o)M
z>}U{vJd7~yIF<#(m(K(rVJa*&Ex<;kZT+blPB;w);|iS@LAEDt<NHn_uVOO%*=SmX
zqkp#x71!!XjN~(~+kje4oyiiCYTuT(V@xmsQ#@=*FG+)lkutMal&B=*pBTkq1JeiM
z_$A!SCJ?ZDAc_)ha}<fRjiql=Hsz9h^-6c>K3LU28&Ax_K<aHP!!l^GIjTsIYn>e2
zmuR%Lt-L!V3IY7YBr0+fB}28_Ie18AZekkMnhc7loIlwe6hpyKs2-?Cu#<wka6_fT
zlJt59@@FMU8~^MC8M?11snZKdtZdmw+hp2@o>%MlYZ-*Y@7J{lL5*Oy6)6dTm2@eg
zObX*<rFBeC)_lfG{<n%y&WN^B%X6ay<0Om$KpV%a`#$Hi(&fr>9X;qLRO2KE*xDtx
zO`Hr+*$&`3mg3zCW84es?Fd6$FW4#aTr0ISVVoX2LxD5DmN`a9Mr#u?{o1K36$X$h
zYPpz5MZMG*l!Sbis-J6}`_)ws(u}K?#(-_*V!{mA#w*XO=>z&)0A>s@!GMi+7&U_P
zBL6km0Gx5(4;?o&UR3eiyARJQjVuO;vqmK&m4gGgUM2EO2#yo_K5+o-O2dodTo}q6
z%f%RD#xMx(WAKa(hTU1FUyG}33|L#$xcP?3s}mXGOA+iNfkIS^H1x%jaXc1fk``gY
z0U@E9`MJKfG122}G%iydlT>=KA5a(0ENr~`)vtc_mCGvt73iNib0!~lC#Ui-H+%3+
z<Fj-_KMJJ>AAIn5Os~7^uDd>Mw3iNdrWcPNKmH(%7pFUim)gds@4B9XNPTwazKCYf
zHguSG9xlI9NstNwlvH3n7O4X4w*9B|segmbsgCr2QB(97W5?*X|5$$N6|Z<jP89#P
z|Ec(<_y4via<4GxF-nh7<Il_v^v5z!N<?_(3b06}K<X8({a%>6rS2?uu)PnhC+jW1
zY*I}HyHK66tKL!ubGXr)(M>ZT6y>iT(CcP(UDGVS-2;gxa+fi`yEw}oSQ+V6d+sak
zcX!5pXHkAxv_1mAgSdPwPdWh{{WKV4((R+v-eSUy$iwDfCkhlHkV9Vd{b3mDwr!j-
zFzC#(jO9XpI_J8)WfD^8UezLWF_%g@@n1dX(CA^`iK57mFk5974apVsxrrKZ?p<4{
zR{W$XYPwK#PG8N>Mt`jwZC0#b!L-J)ukD3WwcRt-pR27bV8JFc4x#Af8E9i;f*Lx^
zaebodB2(48K)7B}2;tfT2Iwbz;D-79OuhgmYMP*21-(hwE>?QzyGpUO*jF6#g_-9~
zZh(J62jc;a6QU^af&>^#`scj-VI~)~pl?xKp5yh}ocV}IjpfBxGWuRwA;kDwn<Bqg
z*RRwLAL||HzPVbR&&gD``hixI+2OqR*(YJ7`iH_L)~9UU>G6N7*W&srIs}6F<hE^W
zVnH=V`dgvzQ<29(gjFev5*cgQE{W<a5ae;R)sxIrDF>Z6HQppb9*MvruUNF?GD>Mk
z6~}5IiyVc9R8>ENJH4o?U`f^K6!>g$VT$Uigq14Z^oqj<{+9n^5CkA=W}r))OL|~x
z5)L$Ny4#olPgYgHP%KVP7K?yERVA;emqRqGzl0LHfbw^tmjo%{L64irbG<-b5d4CD
z730KZOKbvj0gr8UFx{NG7-WC1asM6@6aS#>Nw$G6U*hqbac{%}^A+80F6T1l=5lzQ
zUQ4pQUe%r1OEi<ofU#gQY2Fd1&m6*q(naZllUE=VT7s96%;{7@Z}#Y7mW^8(D*HxQ
z3mkVXqTQ{;nT}n8wZ4y^wtvHf#hx*Qe6K+mJ0vRj3&Y`%ag&ioezfq6dlq5TYs?oh
zDwk@zla_96Y(#FWvM^OFf@{GCtzZZlI>CxImY#c6vinjb4&GR}P5LkBN%V}=@_d)0
z11@w%>d%jNfm;xSVd{oFu;T0;8zAYY!)xgSJN9`{RBbEBKgapsxs7-}yCr;rE-*jg
z?z!@=SQj?aF(&NIn}k>SJj3Sajo<6aU^60k8lbuk^<TN4^MhZr9{JH?d=j10C75~Q
z9wKVoBsH%sw&zlthHboH`COwbMbfe@t<7esRhq=CMF{nH+2Sn2lA)19_b8$n5@xfD
zas<Cp_e-iORk3nN1uVBE4vMVqmgU{5A_JG&G6waKf~)CNf5=e`<8wQ~4aIq!o4;RC
zdJ5>EsPdwu98_gVs$pD{Bw0PENQ<(%LbHdEX1nJ7UxpD<k&BL@Q|M}R1G-?xJ<tT{
zM5G=@_!D%LnhypEu@5Qx$Qvu2c7@{Jd@$&wk+2pgHWI-Y8Dj|55tdirUGzdPt=8>!
zAL@1=>hA4yIx1u4UCTx;XDr`kGN#V`liT<KEuAUduJ8N)^!Z}3SnR%kdV1RbEt&Qo
z{Az!5y<V?(&wM3UU3FD&=C1ji3*eq(%w+Vct0*%WyT$|XuK9kUXW}@HmuF{ZXP4vn
zZS{J+e)a6^?Cd!}4`Si$a2Fj#ujH^rP}o9@1&d^_n&@Vk>-Iqfs3uax!(iKXTsq-Z
zNOZi3FRWViOFwt3p4+;2i_-+Uy8d7Ztn=E=>lTzA{BB7hMCow>(0WiFen)suAw(&C
zn-D8vvSrCEvZj~AS2gYCT;o+gD|{a4XRm7HZXV0P#{UT{Qj|l&d41WOX1;CX{{+V=
zzTOds6eW64(@Iz`m2_O1sw1SotRC1btW`lBbW09!Eqx3<f!>bZgFa{lL}6GH+vbR|
zV69`skEgqoI{s0Q;qWT!qL_-d6?s)}DAHw~5@DzkCM2plGcE}wNmJAo=QbLqS!U!%
z<ltk&o#gsZAif<9?S^<F4AvICTMXfiUoDl&80>9Tm2<Va&BC}mPd|J>A8=2lQaM<u
z9IU>>vaFhI*J?G(?jP$r_ifv@YBkHU>{{f4N1O|#J6@PyjDEggLFxEgik!9-#ll@(
z@79N4kFjA%=d^G1dcEHB)_;4uEA@K4zFn^$?e%)SqxE{d{<M0%UN6Jw!`{9{88Ee>
z4GnLCdro>9kf>l7fW^jH&x+=)UfT3?xpuXIy4pF%o6e@Q>6PbdHo;}1HJ`T{B_=lD
zI<VV~O7fi&<$VQ(rMk)JaJOXxM3xl+*jGHNfxp~V7jTvz>cG~L525oJ&`omb;*Ad2
zkEZ1s3w!jAsT!AZwCF59mL{<_JoQeOq71%OcB;ZFn1g~a8N-?{CBjq<f;mPeWuRz?
zC>vr9z=nT}MyUmnjK-xi)_&8VTCG+wW{fe6tE0`7U`99q##AW5c|K@hLJ0-Hgi?-4
zk*@@RlZ4_c?%lk}g#<&ek{1MXN(lxalw#5t<V;8@bjZ0GP8cTX=IGV4+5S~$FQNy(
z^kAg|AN74754S)E@_U}Zm<i1YBkT~PnNi!SaQfRZ1TOE|EJ#8HC3t%=P6B3kF9&j$
zo1>gk0-#JrnH)00DAkf;EWF+`rv1Sd8`>wo!CQGI@EKjYvIr~b4v8nQ<=)98k46Id
zIMM^8puj0!F`2B7?Wk*s$QPwp+v9o|4l$HDq~2tF5LcS$(T&4(#zkqp{E0#Sp4=9j
zR;NO;e11(n7{(EDE87#tAoMtwF&59hoxU+(#&Cq_#eclGj}OE5&?;xG3*CdzgoGr{
zHKpsW8B7TCptXgSV0eVq87oTe8bTD+fPVOOou(IRwHkJu1lo3lS-WRDm><nQ^>`xv
zb{w|@k#KL>H>K}+erf#W87$BLBP_?RYg?Gp&%qcJ=F5R^+3^t{$gyJt{3EelmuBPm
z@#DugjIv{>!q?L$de(D)Jb<-VfEt;@wup4FMUQz@uX-3gOGN7nPM08StwVuiHv*_X
z>AKY^h+NAkz^YF@ukCI}P;=shp~88_Gp1ME$GR9al}qx_j6_`{LEG<Y)_XjCn?Wrv
z)E17RtE<xvALYik&_VqUXg9$(eWsY2;b~eDkP_U|0R8wYq_lGW!bzEyUAU_kH}#_E
z=uKt#XI=T#k9iDqPy5e?H{E&Xop+u+3y<{8re2o*gFk$9{u?i3ezZ>|^q_xq{-Srh
z15woS177<+I*wkB9vMwWz-oj1yIG8{QGxDwOUn$P4{T#AYM(J1RyeQmE}?`Sry5RW
zW0Ksl>`)kt08v1$zrjR$5~2=(Yw%-AILLDkCdgb~%cj2X`;A7=XGzru4;|<F+}Wj;
zNx$fQRUFw*Q^*c1j`m!Cxz4Bynh{fDQ&uyCX)u20_^`uw@hCtIKcF<1&)fGW&pslO
zKh)T^UtJ?50MD|)^+lROjX{fxv_6YK1NHly_k9W)qFI(S%`N}%`&LBwOcnTU{V{h+
zQjP=VckA`k27udU#H1%c{uU@f0nv4*LDBxl;Q$Yz*B>+9b|2!waQMSedqSz;WwDF0
zC}iU<t;6{qoO|@qN57Y@?gswC-n+Z2>GvLe4E)@4owKqCr#bJ;b-mo@5w7pk<H}xx
zm!Pgm92OHIql3j(vsI`aMw@8saE2`k9c|#I;V~&Kf>kGq052|HYK+CH9Pc=e-zBZ)
zik;lshma<n`D0hCN|IPitSw7o6J;VkqDH@SZw*+M2-}^-%N7?g#@dqW7`pySvx!~*
zy2%Ef?{t#%ir4B_GXcH*s@SoCLl-E?<D^M9o9x23<1%A|dr?duZS8bB27<<`SD;`?
zcR!bUK=@QrY#)Jz2)H$^2irYE2NFBiOG?;)l4fLeon3BQwJ=~+A=i4-Yio>9dA)<B
z6kA(D%7lD?@Yp`I-`v6p6CX+jdlIKw$$dtsI^{fo_rQf;NEBV$g}rQ$Oo*You!~-T
z9zd@}Xrd({kf?CfI|Rc4QzZn}ga<GY;8<n@e_x2!ShfbUr$r+gb~f;ir+6H*tCa0)
zbVI}hQ({mQhGTEKKDcADi<bRMF>Y(iP3Q7}Qw?lGBWhEeBzPP*TisXfjyfGk0Zh^$
z_ccXh?G4QD6gd7&j78cR4m;_EJU7|h+#5BoxB%I`Fc-kBaDC%Nec!!&&9N_wz|#Ix
zBA-3Mor60+zV3O@>5MkQR$#IU`N(`>5PRYDifBJ#i}z#GHb6T?NW*eQebmhXucgmG
z_oH*@z359g+Q6Mg4+Lsasx1Q$Vn~35?XL#};#!v{kG;a3X>Lr$!jnBFPCLKZjq#u>
zS}JwNivIJ~Mnzhrr!dpi?58j72XG_ux|B>ph^`;8ZvJF<0=X{>bG(T(8I|Ml*pVlR
zCipc%wt+EvRM@L_fcpP$9h^LQQkk(7uff<NUjZTIiV;UCV^F^5J?}999N-fgyZ@O3
znD@9?e*)l}AN$zHI3eUTlagOc303gLlP6DdDcNc2d{hz2es%4&*HX&V>lCB(S}AXS
z|NGysD5E<}QN?yBqY5t1^PJm{XbiVAso3g0_uRuVX16-3#u(Lmk38~-&2y$CyB)CJ
z)0DBAa&Bc9^Lze23`6X!bC^=gJp+8*!J%u>=}V(1qKv&sinCG*Ts?dCtdMWAafF4G
z)<X|Hq=W<^)I(Z-OA2*P%5zFcga|?xzXAL3Efk_fw24r-k*0j#sevySH;mEG(X_qM
z)Mdoa|6p35On#K6pOOIb8&ZBl0?1E&`uzFxQcC&m3P>s8oRktO@0L=^^Y8`BnlYu=
z(<pr!Q;N;@X0sVnzf_FU8=U(06r+?<roLBqZlIK@Un(|32qAKDE{{StEnLm@ae#Ml
zOZXDbcDtf1a{K}SM|9g5m2a7A2LwP|p`RL!(n-nVa<Gx6DGhDmuSZUB$XSasd7nM+
z8BME`z2)UzE9=;bLvuCt2r4Sg^Uo_`yfA1#{P4pe=)?(dQt6}#w5GRp4{h{?VHlB6
zQ~xU{U5|gxdMQlLe{xBe74vWW+LLW`V<tGF&&p0k)Q;Ri45noOY>5hsyhOKIqLNsq
zGd4#3(h%*V<H<0%FcuBVQWR+s89)arj<I8sO&4dHDWVPpv-S0LjX^IiOG2&Z4G%UC
zBSihL@VFM59NN#Q8V6dfgPr-1QI}(24rTBL2iWo|?7_i<2XW%_`74a;IWMpLABz%s
z{H+#a@_x9&7(=zi;#^o3^iLQsatwqfDU!>*N~LkI)dFA+<BYi+_pl@A%E8N54v(d6
z+ZZPp+`ffD-B4d!0%eJ#70{M^E<y+aLKpX84*Tc|geH*?CGYZL(B*=Q1hq+F&_#n7
zUjifT+GIoF25DMDwR(?uPt~+>443I>udQ1*UG;sy1XN9%o0L|VPy=~uXj@7Mun!Ks
zF2C%HM%NS&e5X2CIc?t*!Z9nfVJT&$;VS)h%$T}tVbQJ0xtsX)XcPxddQH=S>v;is
z1$qN|Kl&WnM?XcsL<olb9&rYhTE{k?78|^bKsiGs(eXqg>Y-$^J`ygeg>(;aoCQ_%
zv?zJncXStO*@Uq*UKFVVg@lc5Fn`KclwW03@aJ$AApy;NozIV^{{t4T1Hf+ZIEjH*
zbFCC@F;`JWb-mH3Yes2PMS^n?spkBj1z>eW-~nKlx2RG&ufP!i7VjiLJ*u@j?$G&H
zmDbdwknF?^Fm;Zv?d<F%7$-Xk#t94)j1%>hM&`SV`gh>lK8S#&=>DBv@Ly{e0E}MY
zO3Ql4Dbd@ZIjdDqf)b^-bA0BO`rAXP6<<{b08F^83FTq^A;uDnlf|CKgs)oRHpfKw
zx_ELVW1+SB8f?J^XR7P&0#ap&18qcm==o)j-6$Zus$<(|0i8h)qK`lWoc>@roJSY|
zn7w@DXeKLCeS{e?jtS6)d*@}sRacB01P4|snD7E6PF94~4yBpF`UCbAb_C}X#|}ga
z2D8r8mpso4*yB;*i5uD_VU9eKWAn=Xix2DCAp02@6E5X?mzveQ!v(MQ|13?$q-3l)
zWCc(dr_&9Dw@$;h{18*A2v9$u3St(>o9#~UAh+3)`gX&dn}Ip4yxVGZ->Mz*@v;;`
zE{}6w5;3zi_A`4ZM;mAxor{h{(^W6Rh3pZ!e_=FFL7=;*OM=mxj4&niuBWK>3$)Z}
z?R8EG0zzRu8v+rXT%65te5njRlTXv0qf{2hureWTQMg<%oL~GHFGx|mNN&18w>-Jf
zZYQWykK&{qTcMl`xIgKrz)=lJc2KunZXLq7+jPpo>L^5k71O6G1_IiemM$E}ELfJs
zxQ87kv$MyUW!biBF)3N554=VuC2J|$w$AQHHAPfe3zeeS1IPCO@4@{4dzdN-pu3zm
zEvw0SR|7~0?;6&Z26cM9WdpkE6(|D%c%(i8<^s3gM~S<t6jT(lj%f6@K*=K(h%E<(
zcdc}bbVq_ZSZ@Z053KaGCw;$?LOlnlIF9t^_x->B_y3p}DE*zZ7tA{c&;Gq=4=TC6
z%(P;$4TA&y(vyx;$^4!JR(xOj4}bgH-xgw^_@89}agz7qg}Ck^**5I~>Z1*Gb-WC{
zko(bV(R<OS(LVYG`aSv!^sjJ=^A)H7aY^jLW*5?Ra-1dmoxdL0#23(@Xq=Q6cf>4L
zI)qCYVvD&zEbT28JT1(noCa*b1m}$52o;<<@VRn9F{OBZVQ%5l8IMZ^hbOG{NmoC!
z&xE%Vex%BLK_*;&daHbIF5`nZEf3krlCWm`K73ueu4|F^i*Q{@$Z%F}Jo#6rbX|A6
zM%y89XP#%;hYs9kB}($=F<~=MEC~>B(oyPsyC`%eX`DvS^42C!5bC;2g0-WrEA8wA
z48{>`776f~=?2JIs+?~U?%f0NkMxUs`qQ7DmanJW!*G<4Kl+8epaJxPLoJIs)3;~;
z=`S(on8%F8{AbsHY&L&K@<02tKO48s5bOh`Zxm9>N4wj@wlA&=0p}6_d6sDYb9EAJ
zQN%8O!&VmB_Ui;PpwqFX0>W4+fZoh<;us^<;ihATzl)4S@+m@IbUq!8Q8u)PqA4~7
z^sAx>&90eI7=~+6kFw|ED<T$gk~RH$i!0RbMdmo~?e%($9muF>R^J_mdc7Wxhnh27
zm2rKjSCTm)I5xVLeDT<^V~fH&yE})TI+BmCC>VxH@-vbV^s;f3_xv$<-oL&1&2LuK
z>GNLqJ{Vm6*0;XZ#TwQqyQXMalyao_tZ4TEd>FkRy%oI&eHcCGr4}0ZbW~d`k)x2z
zaYqn>$C;K+&D4SrdqDHDcK?S{-~o!+hw0=D9X0cl5$_xa<l4|MKV6aripB4>ZCjEe
z+qCBNVuOR_8wONKVL=evas<Z3f+rH)*F+_i$x6LmnY>Yl`7Q}G-0hwu+oDP(FG;cx
zhu<oDhB2~=QXr=Z<6!R)!X}mwwr#kfMReEAPlaWD<SbgdBQXrQhF!AGC>8`OM2#Nf
z+%Bo_viql8!u-_nPA)Gi8etNaZTrjIm`4H(R}8doSY&fDvU!zmNKplK5h{et&Wzx%
zfWoSJ9hK>csGCX<f-H_Vg}Upm-b}QA%yhFf?a&$R*UeyL>ALHB5e8pHZKhFXWN!ax
zD_`?{YW3^3Fe@`7Z#r5~w<%S8N#p(%s){K;Qo*}(pC4Ry*=3$f2r=Vh73bA1ooIA%
zqU3UQsS(3`=GxP~KfAc(2aD#8yLFBGWm(E$c*CjXh+nPD<4?mLg3P@Id*JKnGQ@FB
zM!~pxoT5TIt)eEZT`~Qyn~~;RZz2p!(7}7dU($ZBX<p9wy_{0A<4Rqv<|th*8Vr-n
z9b^GpIvhsBxVNIW&*0Y*jq+26C|`oq9yiwwEKHLR&NIVj5{M6fI=iuLMT#EB#^5N&
z1a9kWL|leOh=S%PG?OKNUXkTaym_XJ>Pq@vqKg+hX4yme+Kev@V1IiWpM1D2;qgdr
z4^M_DYRzObYSU+#dWWC)YZi}!V;&g7caTJDWl(r!nQ6762<l1)Th~KbmGFp;+S)=0
z?}0%!^h)WIxYv>_VIcIF;P7XtlaeBwZkLGfo#>UjcNYqP7Z;Cci5n8jBB7gTM-~?`
z6bid{ztSENzT<wsH(&sz(!#>FE9d5+zF+_t3w4;EyK>vYLaCHKPeB7jIJ^Us05w{|
zj2q8SruL3%mz!o3j)pXVqtyYWiZNuczYX-q%-geP&z=*GVdQlyg<+N$Q?Mz$Q2}Qy
z7+tt<;nAF7)D2w9WP~)$HwqhnVwXB4*H5UGrc6>j@>aB>W?siRJU6PPELE+f`-W{i
z7cyT^JV1}OEw1Nr-^d&BaQS9{7I3XDzxADL3<h4Q)&qOcD9mk^kap4t4C9}4jphgM
zVaJ|Z$sySZ$1I^gM1O|<4rT3*sBtFX9#mwZQIc&kUu8H9JCqq$R{q2@1~@7q<Vi}Z
zI7l-;$QL+J*<IuT02Uo>w5STBJGU4n#B|M3$a9@g6s%9{jH^1D(Ao8SM1q=vf^zH^
zIOmi(oFif_=7ytFL*pbhNt%RfT0qDozN+AA;SHT0;)-y_ShFjFX@c*^njy);+dn<+
zk;(*yyJC@y$Rn>Ti9)g7s}~DG3NV;XU^ecnY5`sjA&T-jUDJH`_~l1wRsRhCO9+v<
z;iMngQpeyjku^oLjO`AZqRESd5LFi<hofS;Wi=d%p`VzM#cBVF=NqLmmlR=uY_{76
z!6d7fD_7c!yC4b6KB#tpUC4SA4r~>CECnCjUO3PSO~)yNe&6LRvR*sK0}A(ZJMz5s
zQ_WPfS@b7MsAoz(gwS0Q<%S550-)elHj_>doI@8b9CAQs#q8|atjP4yp{4ffYJ2I>
z7J^)^zIyY`tMweyDm8trFLS2>&~P{vhFQe8Xc~e}f(dcoEKD|vMLPzF?P9Uf|F7V8
zniq3*SDzkfPYO-ywyAD=u}#JXayF(nro)zKm{ger7c2nAY~uD0#&sRcNIJm?-@g(v
zN(t@$4Kt9WDj~$ZsvyOv=ALC)Rm8Tc!oyr8pAUBNshZo?vYl4lzl4)vynTB#g<Rah
zieR+JVv2P6z`8E*Jfm}V*e6<avuT>z#7SQCrh4vD*X+8c0=1Cp!G=^33yKBRE=}z(
z$P9^G=#X`LiIHm~KSWu?%}b-YaJZqKSVwRK2vnFnqA-Cd6*d>9bUINz5NUyB=RYQ2
zuKF@qp(io_GoPeVm5UG@Nh6dpte$Q8#qlMI(3X<7Eg1Ps^w<FtEfa8FvBwPb!PMWd
zp~!3-9Yhbt1Y;Ps>8MthW+kySOPHy)GKenq7(hD4kO99!y!jK&4A$!aQ9sd@WjLy1
zx)xkGd<l)q#@{2H^Ur){;0_#p;~TjRA%gSgLa$yd*}=VM1G`kLO9(EsHtHkR9rZdc
z%gWiaiYJjr_w6HLUl*KDHlYyRku<jwf(AaBFBQ^erkE~Xv$*O0@}kAzixwZZOxNOY
z$#mnMOn;S+Q~azKzay0srYieN{0dmo%{w$Y3Trp25C~^dhCM2T1XflP6$j8i#2MQ+
zaN=|xOFXDfW+0UsHhR~@c`EUWXW55TH=s3^+qNcyO9M}FX>rGng6=9_KwXg6w&hrj
z2Cf=mIl@$bPk<vCNB8}cg`GdE@BdC{8Qjwp6-*OUh4|cP$vA=!2UK;htQWQwLEh#m
zG*~X^o~IX<1FCr2WGHSc)UR|^8eE~skv|%Kbrp(}k*r+twL?qfTvwN5Sql`Woi$mO
zbl1&^maJT%+f9{k@vquiMT;5D&5%>UJVrU5*fl^Iv#4hIDn-vo9w@cl&yr1Kr`Sdn
zy1ZSxzBfzYtMyCSzQWK<)BaaS*Qh}#A*i7nmi8kl=fzPSkJa8)Ot@8DS#^i}1;ePh
zw6u8N!2?ByQZOy6REavBV<$6OL)`fCn3LTu9`KCVQgocUxBNW?EwqSa(;WL&^d9sq
z`gQbm>{^s$U{@=2;}K%_Kw3;|Fs_AeCds9gZ*0gGl_?^FXE9j{BC8XcN!;GXX33-$
zZpv9B(@89(T03Fy0`-}cBQIkAP0h8V4uuT#xBPa`vb5IiHa=&(R7qd98HZrT&+m-a
zC>5F{sg#B~H*}Q{lJva^QFVjsA*HG$6^XF&YcZWq+<yD*(cQ__b29L4UmVnsMm`TX
z4$87jec8z88-3MS#+dU!y-`=rjK2>QFRXKB&lN?H;`zrtm2U7SSTWQ<`7ew_=c|5s
zK5q~5`Nn*~l5_dEk<UXvl=X-%PFwb6nm&N8KsU)DnrJ2@>($42JI$nMm{<%MBYZZJ
zG!c*o!Bb!Whq_9mP6)2GZjV)EHPv^mo{mFR<N)2y%eUToE6?p~=F3yn$UJ$CAomK4
znam73ZyN8~wNhJHSlFNTo%Uo}8SS964^qvjS8Q7x<}2OWW-|us6>o7r2S1qD|Nmj4
z(bY6f>oz7}Ss`D&&?hHOoPZ##7k!#{MsF+prlHY~=i`Yf#}fuzFByh|%ZDD9o`axP
ztGO94SmlkoA`W{~zN)x4z)%V6hf6(>xRF_{nvvV=vtP;BS;l39TCZc#q`CE8382&)
z#4gYi?w&8!dm+ytA@J=eY~Okpdb{tej4HjNSkIUtbj=gcj7CFR#1^H`t^6sU(CIAg
zwi`z4&$iA(S`4$zEQU+Ar3vG-oOka(O2+@Dn?j$~*}4K|tjgd<DmL4y+BUJOVzH#E
zO9HFo=S*|S4k~^?#iXdJMHa$5_0r)hhR`g#FB9JcWqgV0)4DMAn-o$qLH@7t-)+F(
z=&63Xw6tU+_2BktDv#P0l4*3M=db0+cUuCuau5C@@(~$ReRp+P<b64nLz0AFXpa+L
zPT@STCelccxoCKbN-NpJCTiri(bdQ|DGT%87~hPdb(klK`^#m9rf$h~&CoOsa_4z#
z_cB;kD)f)mT|EsH`7zbYD{7+s6c<?iW0&G`-el?d76Tfn1i>YY`}m6XDAhUFX=*5h
zYPpZPg}ishbw84?R;!+w>KYyYbno81jNM4-tr~pM_&GO2L8GbZSF6?BM_l)eTgZDK
z&1o8ujdZ&^j6c11?_Nr8WbB)CId1*W)(ERPjyC(7=tcBBxwtriRN9LMo6(Cfd*>jS
zXvMAgBuXa|0y%51?BexJx6f~u@J-0zjo$yG7SqLci`4x&Bx=`szy2{hOP!V<v`NaY
zUHm#WuBY|5)$Vp`4=@1Z@pLl_lM=1V4a^bC@+8TvR$WQ*EQ`#QaVh}bJZ&{YQ7CBs
z2+VAT0#yM<IkPbU%#aWY$0s^BhTN%@uIQ(b;s6ZikbOgrbr=f)LdF8uGt%sFJW(uK
zcEpg3>A5^F!|wPg{7i#3FhB@9d+Xt~YyddF2;5uT=eXp{cwfIU5EsGvZk$Mf0m0CW
zx{s{*h?pgP;701P*ndC3ziliW3}g#iYf7_nu@3DSw*>w&jbp87**JDowL76H3MX1K
zmj}*$iY2C~cO$_kj#Ku{YOCNGeqd2*QqAViLB-+}SmVESMWoxVh?vu#90DV#R2GbU
zJ_2$yHKyY+#NZ$~&*Lg%cszhGs8<4C)m*^Z6h1eOs6Q8wLSbU6ScD1PZn=UvEmuql
z9lJ)c#dmlQI*abH#4Mdk;|`U=Jz0KH>e^t9a8D()kS-n0t<JLWm--7l@MteCj;gI%
zp&-I0r9vIx^RmNuM6jaZSQYX+PNv4gd1rYfj^lsR$+RuX=X9O<PCc?h&SR{uX=m9Z
zmSlMkGfeyO2$I3}%ss`PJ$sgD)UIh>*nf>K+NbMMr~VfQtRYV5hV2=Im&6NC2uQN-
z%6HbD!X+);_ee|kADsMC%>Vzb))tq%e%T6l)J4^Gf88TDwp7>G7v!pIwIf8f##>*p
zqiL&)4xp2kM@b$;!&U{#8)H6a6D($}DJ2cEt_?<cIK6J>?z@aL7%6AP^fxnl><1;I
zV4NndE)(1=J?&c<%AQ9<ZmR8otw+MW@j&|a<l2u?=S=OkYr?D<CrRrGxsOK%wB+qv
zB`gRl;Y0O>9sjd%Teg1VfxWs;yn}k~@W)_;_M<z{)99<{Z~lQ#IdgZRW13`20bQNd
z+|)_@#YQzIP;R>*S;Zkrnt6(TTYb=yA@xq0R`7o}lGf3I0-`~YPB?!4agrw4nxBib
z8HXEvIXzIYBH{UYEGbw4U`#zmjX#NYCtgw#AHdbvcsNPTX<_5QG=U$ZMTrL16%-S9
zQ?Nw+fGlE3!g@{uz_yGf$@e7*%Qgm(a{3*MPa8}3-uuR2XfXxP&SHg|9%u3@g~h@M
zpLBzHre1ZOsg)?0X5gCFsXDX9Bb)Fzw}-z~k~~?GBrA|G_E!3r8cTsCNs{a>&G@Il
zM@UXc>y7B`=o!ECI~EBqW>G$iPEFv50kn@ZT8>MnxX+4~Me3P>z8oB!;P0eQufV46
zZI_d|!T6v3HksSI$Ewx}dF$AT`rO_<)~<cK4=#7+gyV!(S?J>4s63iWn6GYd(0-3j
zSh*4rQY0}_EAd@+SRzG3)Jz_dTG5zi>yboj*52IqgSFkY-L-8&I;9?lAGfqMliN$?
zeiH`pBC14rmuTHVgx+$+kLwsXndK#e!K1tfP!0aIw9;cH25~%1@pN~HKyDxV_51PV
z6Wf*zuyzZHZ(CklTV57s&yb95%WEx#=Rz8SJGw#YDVr}dr+r3RC=C(Nq!rk7Q*`;b
z+NrdGfPez}rGGJEH%;!GnPwK+5gR0Z2_-f?vl9nj5<GCm2nS3FB)ovdJ7=aD3-EZ;
z6aWK**GnKMeZB7N(cXOX(U1**DtugxPpC@;*-A48l}~q?Nu6-8$1cEog+EV~b=!l>
znu6cn6#VNqzxho`BlI^HibcF_<#aZ`P`X8y6}@tldCR8bALx>UHw15sf}s8ggqMyU
zJzCLaMZTr9FrS@X*@lb7h2Nw^lfH>14)BtGIX+@^u740iCmY?fdrZ<mT`dvIKG9RK
zGummVHqZ3{HfuS=3|gkbpzU58oR&d8#^cT%2|qTFz3#>qX6dyXio>xXGEW{>5};k?
zj4dUJB}GblD4GN(KrmCx(<ww%$@2BCQth}^97IU?gd)7dYs}v_6;_M3U0>s>WnFJF
zX%|-fE|(!2EgFImW9CnP#bEjXrFBT+RC`D=5rH3wL-WS}ySlonL|)VmQvrZ&7c=<o
zLpAy{oyVNqZt*2t6a6*68ta3QRNM4HE;GkNZ65Y_ky3^Y#sVA8EA_Zp*%MqM6ISVn
zLx@!1qUJy_QBD5E)wq8b-)}T&<aw301CVeiEZZ<-iIklhS5+3XjEUz({n&dO0U!(~
z=5&3iNisXQq|nJ*4<jH%GmM&PgX0t(Q_baS)iBg5-heS?S=I`!SQg~-jan|JnvOXe
zuZcDa1@&);`WVr5xQ%H<9ccfdc5A`e7{4C96_ed*&BS#LEVOZU_O5rptLVYMQ|cXx
z#KeG^H%*-yiF%st<M`YQW~L9Xo;|yIczOmLK-}gWlm)SZGtXgjQ7HSxd!~+8Ds4o4
zmUY6H01ttOllf4upY-67Ri!CZ?n;KvbB6W+&ra>Kby0*v+H#;1nzo}3Ve3=q2j5^x
zK3PjU4W#CjQszgJdy;#}N>*Q&WTV>8S44$c<8!11D$N6p)8cds;kmi}DuDcr(qC@E
zP{zD0VURpUlH`0|mLyPo39ww^Sbj5>*Xi{=%O|ir8X04cj|8>|powr|Mcdbr0gT_0
zKlppSo|KnCk|nn&V~jb+SdxmaBugOYB}rN%>(9zCVv#FO(InW`*@Lj&%7u)+KGHJ*
zmc}rbc|;V@NGdSe^xPxhC7j^3(g*^s*!5;IbP=#TU4J>jrRBdA@0s&o6E7~t#g;pB
zhFGRmsWcYjX2*UtwbilLN)j9ZSz^*#Uw01_`3S0Xw8r222^?H#UI;LR%IZ`VpsJ|G
z9J%VaP#tsy>?Urw%EC~YX;*)G^n&dUnnOp?tGwl(Qo?&Q{$iG@p2fV_6-$4&cTAo0
zKsq9&#?haOc!=;-47XCtgZ1%9h=b>@^q-%Ag6Es{?S}9`iS+cu@K?wx>-jOKrqd8$
zmH*)YR~XvoA30XOq}~)5;NmP0D#j^vNl#TLxa#zNZF)Jr2vmOQS@KVQ^;kWJxUZ@I
zzTUr)r{tB#+`%&(a?JBrwmbM`4%M8Lwap=O$%8mu^({PI%22v3WdZ*8aHO<B(0X%k
zxgz_oN012_6fUIBKyo`reN@v!m@vJf8bXcjw5(}mR1YJ-O_VT!*KJ%WIHd}(aTq9J
zpDacS+@NSpg8lJ(`OzcXSZ=j530EvI{8#thdoR~NCz<1~Y1&6ERRvYiHT5!&Jq<%4
zL_V+6CZWDU+}{)3>D{LD<^u-~5ZyH6s-oOio0y=4sF%5Uz5jF*R-H%qDAA%p&vNbB
zs=}e@i;1u>dgcyC5s5@&;nyvA&h>04gWx<l+ntzjL-g#oCa@!FSv0Z(tJP{*b~T7}
z;pqBy)1UUu9g16?nVu=X$1u%cd?7Fe81I3WJd(p^8RK%Wp1o2=%P?BTrCctj1(9x=
zdo639)UN_mpEte0G(nhwXFgv)hdwXHjvYIcO~f|EQ?=Aqyt!&rc!=#f_Z+FFriPA`
zT#C-EI}A>d%Q#1k2e8eyU%3$Q8m)m4<6BukkHCl>bTsBd7q8Dd>JqdTgm~pbv}?Q$
z1Ka)sPZ%&5U@ntCM~02@UU(DgqF10_^-N{QH8)=kb<gjI&RsvJARITao7S~)rw%{N
zudL(3LwxjUc#y}NdZe%G#sejsqnNH3HiD1BR}e=XbPP+zBXo$!TQ46+(>(-OAXzTu
zHwP1hdyMpnCkkwy=Co}y_wfE_z*ZKwW?i=|F)`I{PfZBR(sc<N4KEyp-h{xCe)WzW
zI|?~ItW50RVgTCWV>@^5T+{$qiw_AC+j0fCU~Y@0+XR;MLZwoOwUTSH^rERxOz37&
zw=D7HPN&n%-TAUDU6_2e)9G|pxheG41J&{kc+JdLFoG|Qd3@1jm@_!UM}sf~xp|lh
zR0nge?-!9YJMDI7fX?u6YD5#8#ZsX#t8+%~wa$z1R(<of9aX2M=4Pj-s*!DP4#y#C
zA4r_U+d<3o^A#0K`tuR;`E;*25f_JNy)Qs9o@n;AVnnK?Y;A3QdF%x-$3_M?{e;%r
za@|A{_;HsF8PEc$BT@IWKho~<W1$A!YOJnLMU%5Nvu<)|5xKT$mLjWey*P<PN*K+W
zu{H7ua`69~Bz5vB3D0A@US0A4%Vc_aTeDUwWh%zfa<}4n)y}env6_`iwdS_v8CAyM
zbt-im&tr*VL(@v7G%b}h&A@aYgt=S@5ax0rtmwGHT;C`UJ3NUyT0CR9Pq>bvB#9!;
z$zbVWtBJMHojBo+i9^`O2e%g5)Nig6%;^A*Yz~JW5g1fG$g-fW01M&`hnq)WKshGs
zO`o<Gwhm%Yy}_WC0c5qopr>Ho&i_OFx*(}9*g%$gy{fk1cHg!_i*qZqZ2#{U>PcYh
zYOl9Mz`m{~O>|fzRN&<R?khklP-~FV>CP(NPtrgUS7agli<8nkyaDMIH#ZvZCyRua
zL=q0nfJfX)#fV#q>}TMG#Z4nO((QQ9ClV+=Hg=93%WDZUgG8WI89iapeN^|i7fOnU
zHWwH0W6@IK6(KPx@>6^*QM91?NBmPBoLwg(MW`YRs_%7y&?0e%sh&IY^?aoLS#3ju
z;s<Sh;eWZQLPK?NF$XEd(x3VXnUGmWK&T!wnnLQ(6N9{bT0_J%o)M<BixNFn8flTL
zjv@g}l{WG6;E$Myv6+7?W!!PAl?t5dh7mrnG+pY~=D&iqk>f>5nE0mE)m5WcrQ6ut
z+$7>sg-;(ndbGLOde-LVW^=Ro)L$<Tj#3<RSN$iqTB)RrJO455bQk$_=>SgsuUEpq
zPSH(F<)!0;2M=nq>WWLEDDvFc@t!ak48lQp#n;?p{eC~}hx+%({?g0&1BjY8kfOwS
z!?_K1(yE921jaI4B>qfMmL-9!3Q-p|($nhys|9Y6N`a+A-}f7-?<>w#7}ioHflyFN
zGAY?pE-Q{|ZCR6hxn;YrUf0^PHlNguV(1Sh@D=6zX~XyZP+OpsWKuGz6ab;1WTh5{
ziu0G@)lJLNdNTie*S7d&>z1YU(N#asi^-r52x){a;>MkL3|;HFLH)Wh14ZO2JG_oq
zniVs~knTEzftoPH5J3G#gRV_@EYS}4aJw876T?2kc2Lx=*rB-$lxo{KTnT)NPb58c
zo|jTTsQgN4$bk!aJg63O8;RN>IH&yVzt{TVxfZnWUzWRW<xN6dSrJ-zr4VnbxGo4!
zF~D=&q^mY~Z$){<Zmmz7>$PXiZKGr8HuTci!(lc=3e`Z+<Iw^a#r1SqfI1)Hh7k9n
z+Ne#5W(!#}f>ul1-Nz@Rg3TWABL$~{DcBBm;fLqkx}99jrO%!9)ehSxZ)}^Z-S%v+
zcIo!!7ttM#<J`GF?FBDz2R4?QKITvK8I*rn!5y6MEeS?Cpd|(+V@4%LBrGxecx6(K
zig9FqQ8RKMMI|1&o(_k9rCWOW(WCW_(<ZFAJ(Zu3(Y})1a#FU}e4YUg&t$j!{*LOs
z`F;1@m)-HsGiT0(7&7kPT%A9WQc5piRXe)Yi<}1&jkJ1KpmdI454=-^gn0M2b{rCN
z%7e&ZM-jn?0kSbeO^&Y*{f>8bQ3dtU5p)}R8G5tMU~r=ktg0e8?MasTwj+vt`gH1n
zRke|6mV7SMB~E|bZ5auOJkmu*v6zWm@*r%jx-mN8W*B=*X4Y=G<(6zOy+Xgg_uhM}
zcjR|C7}wJy|DIqkuwDCRpJ(9szVmfYTX^{I%Sg^Xd$O=5_~%E`l1CsU9E`6PBe1t;
z$=p0I;VO))wF<$$r|}fLQvjBIO|@RDZ5N?rM?VRryT%NeC7TfP6TAi3W@6E8ynk^L
z7G7^FnsUEO%U|dVMc^w!h9G7dA$JOgjma5wh#k@hn;YgjO7YVfZiVjQZiw}PO?KhC
z<1pQkFF~(BuSM^mgcAxlxee}mLN394@~E^7pdm#g2gU*h$jqfKOMsn*r}O|&+yyEb
zi^gV4(5I;l$fOAIG$RSQ08GBHQIh_MMX}aeB@t8g(6Rk`gpD2Wt;#Vm?KxRe_iZPv
z%J(%IjWX*~5_u~%Ib3BwFP`p8DMWFzo3xr~w;4yEQs?Bk{R`)EYv;?G;iPN|JHfCQ
zYZf(|5mQMuvi;DBA+YQZ<^&f~-{Zr246zgXc96bpFvtUfrgn^_US?%BqY158M)lsm
zYi(hnGXF=IQ)Oqk;@n+0l;D9LKjRG1x6*!(w#|lQoVa|*xgJ>ZxNZm;CvevYi2|Gs
zQ2SI^ih`L4paiLdJvAwd(Zprm;Z*Otuj*VITUNid=%@Z$!_3x}u`R|pGmEX&Uf*(E
ztJhy`EgHrdvuv}qWi0#ts#|8U)witp+U0t^ezUpeueZ0iottX#sYI-<isY?J%S*M>
zE@jLZ+hSQZ_3yBInq=APv16-QMozoTvW;PkX4yZk+vbeAr)x{gOK+Ww$K(7+tyZfY
z$;W-P(HF*utRzKwzckL^X;`vL&>?=EvX#wmPCIwB#%nA|TL0Ee61Il5cIMMVVHm<o
z!ufgFvn+T1k!BDA1Yr|ya4l=!6?rbsihlNpKVrV&e;$&vY1UY>3PWz9v8G$Vm8fq_
zF4AMkXoGtUgK$BlBNmN!N($gqMNBxTP+JWLz$CuKceKK72Q)6+QOz~02;qUr05|-<
z?x5T4wgQWi1B8MG5-B^=G|)<#KvJp%^$B+<FgvyZ`wbVsjV;LtXj=(Rh~PZ%Qlaso
z$@L#+QVC=Gu2l;vap=|R5PBwz6AT+mOV#<~p)FNq@~f7W4?kG99?oT1#w}$5u4B-Q
zM2ae+ISsT!ja1-D$zw(gvALke$Gpzl7-1Sj54C?}3N9rNyk_V0kt2NmQ!0$DQ`ZWj
zHqAoM;Di!ZZ>&5?;&I#CwazW;2Ggmup&9H$9_t@jqFbT+cnO29gxV%ZeKR=UwOwqW
zt5@J-QbGH6F)S`+0-KBX(|xq0x9O%cJ{_4yKH1h^r6tp2PB3P0FpKTO_;<jf0o`UL
zcYyCqbj*HCfxrLY-}(NKf_I|Z>s5S4v^GV(!`XqQ(WqO)pp;4cN^)Y6(V^ok%r64=
z-goe2#~D(#cp|CziBSr0tvebmFEZY#7e;Hs{7SFaJ>dZz`u@T{!SvW}>j{E)<ZT%G
zV9OsVg`QvvxH|I-XFx4r2iJ0Euf4X7$@3Uv<mk;5(&hDZ|MOA-@PP0JZk@b_5JH|t
zDdo3sQ+8P<gYj$2vE`2>1t8&*YB3I=Am1qT=_p4D<g~v}gu_Gp35k)n6D(16>WB)M
z7F|b;z%$idta76K8!rZ;Ayv32I|L!v9JP(o@6Lwt!;j;$A|#rDk1~}!8L%SR2T{t{
z^?K-NMVM5S3Ss9K6P68aQpyR(gi-m%{${_Oeo(W8pj1gllybv*-TwL*VHb3wdff&v
zZ6H=z{1_;`$bE>SR=Nq<w8<B~VF_-~wM`}T-$;e9^Jlsxbk!?J|1R7Da;Edc6{Z*W
z@ff~<w$KhjX>XWuVV;hJDA#1LS)rzBQj}aHnW$q@2R5+<t;eWi5W~ro&A$#)SY18&
z5#Jba+x<qvl#;Qa+NFzG+mEzjY$a93=3%Qf7;@0s`!lehst?~v@Aa>L{S%KJs~_cB
z`GHR2sPocFwGvbSS_6);DQvDx9)@_!8lEJm$Enihknd4VDaC5bczvvxMH0n?hiXiu
zW(IEGqU~$0xdx=P;rm9a6V!F-W`nvet2e0Y(ng)RF8fpP)ED&vW|5Ri8cgQVV6g;t
z&ba{2^IdOu?(<v#r%u?iP=uP2pehLbR1QLjzjr#0$CPhHqjA}-A_*HMIIR~tvpOhY
zPS>O-N9DNPdFh+(!gT)E#if^SdtN?SS!tc0f8+AYFP}l<z0>Iwrqkl1J+GrdbY6t*
z&E}UkU<U8H|Ni?g>2v_!f7e}inO18x-@Wq4?(S~R62#Fzjmmt@e0O)(#z8TL)goq*
zM%(RnPw|M05yu*tVrOQABWyesIiM3~V+=EY0UYoWhKq$u=-OalazAR4THu3!t+&q%
zT%Je;_Zyu4EQ~H$C@?gd<^53#fnTczrz;wK)5X<oucIUAYV;Hh|CByzDo#`g>NGwc
z6qz>daIJEXkJu<-sA4AFa{O*&+TIQ~CK!xuz~&krsA+phAro@lk>E}Y40GwfC3|;s
zria2lP8z<iK}(tEHST{4`$JQbsL1NL&9m(P+{L~B{s>V77x&>JyaD-WfR4l!DD!#Z
z_Sqy!({YU^mlVp{CX+H5O~6G=;fj*|)^3qpO#iU{a)8e{Qh~^_1<Tmts)Z!DN>E}}
z^I@kmZ%8s(b%M=}jSbvfCEQ?>g#rPM3ME@_B`CoHrJ^%CTh%0qKk{z&2<Ke&Je70)
z2wPhS9^sOtRcB{AfHL<a8`K%SbpTz1UJ<Wfq@8~{E_PNqe_G;P37#g6FlhVn)4{?g
z#0On>eJA=w3~^-XOm7|(Kyd{9o3jkX3Box`IHsCdElo^J5Lq&E#bVBoWHP}m)3{=F
zbya8-^Mr9uCJI=F7d{OSDhwhb`Whl@H^-6|cLb&Bu3fu0A5#+FLC$v(l2R%<v4$nS
z%c`kh&c2S4{M*-iu=&b9+!|eUkzb8^JUJZ5_ySZ&FmJ1|D^C)g@AjKuy@AmtU*Dj6
zEz|L4dyHj*7S@g%9^6E(Q@Dnz$`w7IkF+SC*Q=7MaxcF9Vk?@%3mb==&ISAIw;fev
zLsjK6D-`PWLV;BzRpp98qkJ|HqwY>T%wFTKn2N%falYcXu2VU0Fs3NxuPkpHKpzKV
zDFoZ$Qh-~5E9153LwJ{KMNk+wu8&;LbEE48V+s_t7@<X--TY7a8Lc^0<kqzicXxu4
z?;N|RLkJz1Orc~dy@vwR_GaQH;mUQAOkDLJY`ZVS)mCG+H7VGgHcWD;pcJe-h3-4n
z+0|-ivqV+cAv^ow)z#HqtGj;f=JUdrh3MP%S<CTtai;~x`Hr$|->Dmut=Wco_J_$b
zR$+T~cKng;`0cNHm7fS0_VYI%82r^pnjP`Pz`GRkm3ln^h`SWg(zi=FwqzrZS<1TY
zQ3I*haQc|XFI>1#dNJ2gzQ8aR@zj~^+p!=*@Ml|4{Z>`9zPe4gs%iHzU%PPOLV5ST
z4W$cQ2qN(I?PsQ9fiZhzNF{X;#hJE+c=RVlH075D&Y_Mzl7>N_!&zj2_}0?swLNDM
z^gjF9&lcR{?wf>(?8t&~(iBm?Hn9vw?s2y;{=L=FC{s9-Y-gFKG2Z()uSGBBbV70!
z>PMI)86U15rky0@Mq+wpeu^ZwV$zOlW8oQVqz~6R+m70U5`5P<nK(lglFL-)ggEtI
zyJPlgVsf!4iq_Tutz9(aVKeFtdx;0y){6$cUVm<e-B2>R2N@(T+S&{;pTzb-Bb|(3
z#523K4IM={j-M9Z$&+PSP<I`;LB}I@Ky!`B;O#DlY+5H-$`oo~t^`1)$V?~ghKjSo
z;>2uP1oJB)m7m=<DHR{CGZr4%aaO&C%RCH$cT`ZiaMe{;5yL;JD8N$KCom|c=?-Ne
z!yQF2$N!<Ks%_gMwJ)E;4sNN2rW&z@dmC$lQd}zK5ALAJsU8n{d9zgf<>}L>O&*-$
z^*7U(P3#H|Ik=4lu1J!kVaeFRn67VUs-zl%oGX(rV1)<y$=c}d{TV4Ovu7k}GZSFw
z?0|?U*fyADf{&%<RSdzMFuxnRs4e8yEEKu$$o1y8V*Ez#eQW+`AiZLe1E!0Q`GM(k
z;+V6u<Hub3YR7S?W*DlLVSGg)m(%Sf{&w$%6-QNzguGAJ3`3=kp%M|9xnKD|bLlMy
zj)vu>#IS7h$Ua@yh~qQO55CR4?`fK58!8cY0idQcR%{oTRV`M_)N!~Z9p3H{4kdys
zG;_M=AC_be-A7^LLlHclkWsuZTM0?yv_tI8wA&`R6*v}3sqo>c#kAGF1*&q<H<J*6
zd7QvA&0XrSj%+9-TZ@j;D0{n3Y`1}?%D#eU<W1(zOhue-kGez+&ER%`<(UBE;7tG@
z0{CKr#?mRPa-c}*<+72yLa6J|E*6WkzM`rIx5*L=0El`VB=<Xc#?$oI0>(<tOkmsx
z$_enis<M+88Q{-SPjHhw=j_Fc7mqQV6y7vwf71v0m*YVAP^Ag9V}KH0wIMRC9;i*Z
z9#fiRkQGIr9+zOb#hz<h=YwK#syFHl`7tC({2IVCbKBCiq6Be$N|q=-eDRya!8mtc
z{j(qyX0RgV&L#CPZ%eT_)j#d4Oyx`yip7+~zAu9j{Oek9QGA?yzM&!C2mTxA2J{sA
zP3PQ5%x(eCX8b@li5-eMZYQyL%}*H;DvyXfw?1n`VG$(r2>rE)`Y(;?6fXiEV90dK
zH33Xl!4-??RxzZDj#Y5Q1n^yV`35HZ^I%N3o{8f)CX9h;f~#nn;vy3~be$1piIab_
z^t<n;VC-_&(is*efIO$C#=@bN&eVm4g#}HD2Wkn>Xbm&YGiHC&Gm8>g7S;cxd*A4{
z(apKj2@GUc@ISW)#o{E(ybt8flFpPf-{Xn29E?@IfXXnoSYu*B(t^T~--4p>hV~Bs
z-nMN~J<zP&A4WO*8SAR8wl4$?sC@&M%8oCpd)|D{cajWZc|UNOV#>IAJakrN)2%W}
z?X7pe``rZlSd1Y*1^se5B0gt!P4e(|mtG7zl-HdkPOfozTV11J{MFn^eBW_WemQ#Y
zESpxxMUY}%U$bpn%s;TXxvA7OnlA?(yAEe6A~I%3j565A&uTpzy#zflmVq7SX_8JF
zd*yN@T;P2(q?&>Vt}saum?)Kcr?|O}MWSG7sEGT^#atD%?=Xm|!b6V6r|vemo={6D
zE%xfBu@=#xtAS!R#CX+<-;}tk7!MhyaP^@`=s3kmf=g~uVzH8`TQA0lQ4%5*!E=gC
z@x?=|Fd<msmD)y}+g@xHx|@%*h+<vI9mCnm*6|g`SvkJ7!nkqriWNmdYbLd9A@*#}
z;|kN4u}Zx1FbXk883xlK`d8j&+`U2wVbmwYr;I3S4f|BLUJCn2+r8f0$Gd_0ysEp7
z(yEQp{&EQfP|nMsIKnwuubZY>b}~*>u0J|}zbz&do+#D}QDbq+!W2{sR=jnJd+5D|
zdV8-1OUI8Nf8O+&ue;%f8-m4qLUM@*mxvtz4O=-_OW}sHC-uo;8S4uUJ5#_X5JBUM
z1VST#h~w-pYuCz8yb76VN7&ul+ndfl`_rHPv`^!-O)2M@LrBDImW;A6IOWHlc>R{Z
z_UFD8B;yt(l=L3m4j)p<;V7@nRo7U`88DsXNP!2=bUJM>SqbwABaeU><>^x7>{Cw)
z5-Nxr?m9_Y=geR+r_lvvXkrS7J$w*dhi-&(3gno1{YXn+uJ9fgG?_kkP_!X|?6K)q
z7>J^i(${k+MLdqjWf^JFw6AVX5>mm?OKK5Q+5_Zi#lkG<0aOXm*Y-`#p9fC^CX$0Y
zI|mcNV0z%tFI5=_FVG#{h;h`taw&6<X1~#kI_hRiS9U{!--we0UqqO4VT|Au1Di@1
z?6O`{G9qKd-!4J${jAN@PxBM6KsSI_1wESNbcD-wZ6K7viU=hi4TUb#^&wf3k_KmE
zk+8wMWo<%}Mx!tV!LP_=jKD2yZzd;fbJDOy_Tg7BS#m6py~xewgICZC+ecHUuV%@+
zk88W$1^+BbL{obT*=B;$Q!&;|Yv<G?zOqy-`BozgVC*{K=YbcPF=^Tt=qrMJ&b5E`
zZjL0gS9Cd98$XzgGyB{Z)pou6|13c<sJoS%ow?DTsu4-TlT$n4N<uW>a^m{zc=NMB
zU)AweECP=^s1cExsZ^+G{hnqESetg1*0TcysoLXUZMy_fWo`WIKyO`AjeRo+(T77#
z8DX;Jt32_&fMEY;KMPdJ|Dz`W4(Qf^V+F{3&w$;Zuu%kUMSM`|JMy!l<G|i&><4PA
zCHVoFJqEs!&J8!}CyDkaSlmXX^bIF%8X<*;3O3end4m{83F8St>=$*Z4z!fL-?A)~
zx!AmN!t-#N9&rqVUFk^SWyZ}s2lko`D8NU3->29OJ#l%wFyB6srg9ON$;Y}9!Two*
z%u#a5Yc@MGb^Mg}ui$;~P1N)iJGVp={g0{NMrjITsYjF@`B36S&C_X5&AHux?nh<s
z|E-WD@I^-~6t0|`t6(TE%%6?R3`^$exw*1bS!kUZzbT*3U!SH`TuqY8U?$|UVjqhe
zRa{+c-{{#h@RH11T7G&ul@`);!7g#j(q>x=3sO2aR~UB<!$_BwQmNHw<c!d8Y&ERc
zTT<HXwy8Ob5R%%iPKeQx&uP}JZ4cwB>vw$sl2{#itj^&p2XP0KuISrn>5A`8c0iko
zY_6UaoPw#3peBm{ec|eu_rZFo7gF7CF##0s*pa4^BH4;uaY)f|KuXgcJK|u#8;|4N
zO^K>;addYa$3=!?BjtvPqLFbWt{v5*LFhXM?ISf^a}0U2@C(CAmnZ8Oy77%+bjh-;
z$oUw>+qa)-4F>IzcpS)oI{7l{|0$cNk5qP9Pq{|d`Le&A*@r_vR|?c7<4bSG=b!~<
zG)|hP9S5F2$SnAuTJMjS0D0XVjW!J*8Yri2V9<8XHPgN<qrn!8BAT6Y#<ZVWxb`AN
zKX>lY>&L)P&2=2*S}St^cPCsJ+CBQrtwXEJ0h>nV$GzCn(@O{3&L0th>W4d$C1DK0
zD0f_~;=k+GKv^N9$Y&!-31ue>ZP=1!kna$5bBBJtUiZ`-CO4IzzpFQ?^v<FeADLU)
zw={P&+_!HZC-k_D35PF6ALh<ON;l#-_KJ5>a-(8bi*6z~r@Hacd;iHJ`&-yPPDxv{
zoEP+ADiQO5*Y`=HN3BT&RWlYLBN5Su6|sB)o!{^>Rc}6V>y)udLZL*;Vrk*l@rUT2
zDW!J4P~K7UJ#fmlW7yz(rCprs)3vJQ=WPp2k#EG<5PqrXc`8vIJ6HFQeFBs;a&N)k
z%HeU-G;@r}x@_C!yi>MwdE2maWy@9#sgO6ovh(?(@9U<S_?9Irs_T@hp(&vBIQ?L#
znyhb@MVw#vxC8^Zh)QS<S;i|$!A-)Uh>ZnQle!`}sIRrRAnRtM?#xUf4}LH`)9cMl
z2R`HrGc(<WP8pAF+a)@$u2pJ5xw5d(UD>sJW)|bwnccfqx(f@HGQjPOQ!QRhXH5XJ
zIX7E8Zgo$-x!wnX^k9dAb?t{(fDM~UJS1}mL-d!X`o6uETo0eYaf+kSXtWui)bnmK
zsGx=iro;1vhe_0T#KBl^v*$j1YJsJ{tDfGuvnlrl_uGV*VTg)o0?nZ=I*wVdg7DLM
z2e_rs)auNs6>8=cU}|SxxoB~2bou4v8{Ww^3gCLJg)?UsTAm9)H9mgm6s+OimzC|H
z^p+v*>oBP9>T$oJA}iM)9pwjac#~>el8i>9UdOmzZ!`=^;u`HAd`cyods~G|6=-5L
zKq4#U!bb3D#4xqK$h*{`{t~9p0tBtA1QQrAK7r;7%^+yuKyWbmGn?^%E~}WP+pm_o
z0l=I(yK-NjU!2f9qfzIk$(jADrr58L!wFS16l1X5N^^UnOh9y%Q&$@(9?$gW%%_Dq
zKGE(>&7s{WpQ`YTp-rCWc??60?ZD&^kwn=C>f2Vg(@biSzI+g%s?=Jp*8wA3t1q`C
zmAVme|Nm!!YVP0v_~ZNcn<`kp{42w59}u6Xpj=VvboTZ3?ps<aU7-LykKK3prokeL
z$mb;~pBD<Tpj}0${Va_iEf3%#C%W&-6wsP*q{@C~JFDVOxE`io6(6LuJ7zAC1*D>l
zTeDyY@2A7&(s?#7Se9ibd51H(6)u24kSxRCQhbT9grrpEtx<4k^B&}SNB^ZcaVOF5
zWrh}Q^UOjqL3|vaLx3JcZ$|G&8Cpu5`bpG(M3f4uw&JD(q}w|xG`QtVnN$JM9xma9
z1EcaUWMc{PbxUqJ^X_S1AdvtdB&aJS#Br}KqzU{(7><YeD9Yt>(9cCtex5PM!=M|S
zb49@*aS;GF#GGF%h6h{-q3i2L|JU!uJuKV)zMae2)~6>9KHjw8`Fs@R$HOqpM^PU7
zVR%s2t%3UVDx3?0Lm;>WSW)Ku8ekYJs$gu*`uMev{}0aP?C;w=Q5|pU!Y4l9*0uP@
z2cvmv$59c}BKjQ>g$_J(d%kX#r8RgZ!zl~ruX^_%&tzAJ@xR@6+ik?M$ZcB)B2D99
zG@xlGIwE;_#vlCP2L^!g1Ac)z-($%jZ<wCrUW|64B)YP%EM-u~g#U2lOt9;sz5GY%
zGm<NAYzJh$+lI-3SLW2Kj?WGaTkW}`!E?hx4!xupDtM(mU?_!NBD#;3djh|M`!eC9
zQJfS|<h~GvQ6himI${gKx6mx_53~(MUi5V%SU;oWgvXvcA=EJ-mmh|VWbJb&Qz;7R
zA$^2zA^f^$C<6F2P=y<W5%X|>abVlBEUJx}SQ83$##`53du^t++=^qlomXFT$9Bgs
zbZRZGl;CUBp@nj}FuSLeH-P6jXuYv7aITqNsigUQ{QOtG@|9EGm0Bm~7r-zai*uQY
zj!!}LOLYZZ*T{gpz02d9UY(@;?sd>*HJj-wGLbYB*R`TE&7>Z;Xv@1bOcjyls-HA?
z-;z%_23I%$yT~19EnNpPzi{N}xxYhBI$BX~mWWE>VYoGJ`SczE$Ir}p33T0>WpR0V
z0IqPuId}BP!aNz@swfy#&oX{JRaJcRcQ@oi%L}a;F0YMg3oWBJ#%K?k0;6_QB9ek$
zv~e%04I<TUrU|s|21{1#pK{O;xnd16qx6y+>U_-_dKp&_eL25j;V7D#u3$-)ufUpR
z2K|k@@|>(6#nPFs(l}~n{?k(?=(h~_Q6OofmG<2BN6{P6ThY5lr!gSOF^3Ly$gM!f
zQKHKvT>*_s6OBeh(^k)la5^voaKy1^Zj&%<e~f`wQb{`IhcWF~|GX!3M}Cw>lD730
zqc>nBijaOE{*e%(Bt)rHl4V)XN(!Y)aaosTdG3LW#o}_YxLg!Mh~l&mLX-}aN+t1I
zQWDwMiW4hyr;E8<E|+VyT9k|qHyaQ-jo&^or&sS)$>oeG;+*HTmRmQB<CpKG+0G~W
z_jEw8aJrqewi;z6d2Vc)7A2FpIqt*8g($=FLs1m<jcl&0ZC)8~_6{Uvp%1@JYG{!^
z43%R&HvxH^#cv}^yBVp~YEs(3JuZcH$|Cu^DpI9Kj(_!m2jWVnLA}@OpqTR`UbQjO
ziM@v{PO+DZS|d7)Af$A**f0o!)s1^3y<UD{*2rrMu!mW_FQ-d0o%)a4SF{ZOi{<z1
z?z(+2A{$uI5$d6WbcYvh9}`QRG(1%RRjCoDek?8s@3LI@P7}FoXMpi@`{4B%>#Gmj
z=uR|%mK5~yrxDrQONLQjuNnHcJNbs7x3aS0(+OFgp#F+1CqKf7EHk`)Ld$waG2CZ(
zcF0-QW@*xiO(NiP1^V&o#jc@Tj0Kq;$eLxgEDx+t>6~eXUN@1qKW(-muoMpE4#$Un
z=>HJf3XES2$xd`62b+Vqefdz^tZqU0kP#-i$GF}1YxwcCm!uu6M|<5syoq0?xNFxg
z!?MJw5JP^)tC=Tec1%&mmiWxh_^n|2+4O$aK9ny(yjBR)Z^txEb-m}7N_O*=J9zHE
z)=O!P?9RfbeQ8tsgS(=2Sid0X41I^>wJn)Jn37GM3?l4&)TI>uu#88L*S4{*)3kBC
z1LWB6<n8|&x`h53{TEOu!2;}sE8zmX2Hu8H+__7!GtE3F-R#*ZcV2tAW*Vfpi?qE}
zdeoFVr@7N??aG>ICP+!!XK4|Qxc0`6wEgcFiVFQ1nf_SAXcgRA#jS~~56lT5%><VB
zHkuJww=>)EX`lRBO%W*L2e!~0e{qjM_#U`t052i)R{e+1_z-?AEaR)`#76uXDo&tC
zhjGZcPR^h^v;`{uYOKKw+NtjosB-0T2oP>ZX|vZJubI}vV>kbmq=u0eIZ(Wl>tLF4
z0de^1vp?`rMSANm_3ILuZm~)e1F*)s|G35%?~-Ym&z`|QMnk+Bz^7&Ye)t07XuHqt
zoNKQoT;@>IrD-Kztgn{lx5Gr1Hd3Ck0l5{z#s&0vCuV6VB<1qo(tR&1E+*BA5ud0t
z+v*^7Z3`*RxJML@FM8zE`uaK-)cVeb%LHdyEP}xWoo=<g*CSeUW{5zUzO_DYK)<QA
zsY&B5mAB~rxmK&C`KPS0qlH&G$gsXqi)$vdx9T2`K2sOgZ4!n?RGgT~x)~870~wh0
zBvfG|>d=FltSun5gKGzrB)qp?XEJ-0#5D?{)7@7HjHZ|AJ@vY-EX$dHsCN-&+h5_G
zyvGQ*OSh$LZEbxuM<MhyUq1biX9)5^fg7{{8<KP`is+;Y9yh|GSKqj|gQSEgh;@YV
zz_Esi`%Xv-wDCdH2m_+{lyKh#>JYI5+D732b6N0(zF_#P<J?g2@l~92YVWcsFV-Pd
z>=O(W?=5w`QK%+Kvdm<O40K(WCtu$9Q=Hx41LXWd(baXgSO`J@zYky5&5bQz$P)%^
zbMKqAV?VD(5*`1@aU7wihBCquO%yI1mY00p)mLAwGqSD`jeQ+-yRM%PE9Jn(*wb|n
zV>>8U!t=hsfX}tZzJU^NJP`&vT5ttx9a>?bI|dii%rdw}HA0jv7{Y8TPlUA?pR4IV
z0r(86l_o_Crb;u}U(C@%5iMS4X3Zo4?z#m)l?ZG94EA)Q>!Ugc;<Goo3%%B^h|xu!
z&ZPlrAwe-%<e*X`EEi@aXUbJXEBUnp0a5sj#~uC)-W~}ulwFHIuUtWDtOBysSIUli
z$NrQU23fW>#<U()iMcisL?!*VoWrZ*mmNq(roxT^pib7AAoYQ=-ROt4g<VEgc9?eu
zV^;(;n>r71zQIl>vy_TxD=wtss2%`v&Rp+-x?h<5yIYn;x)(aJ)vM=5bSQ7!Bpqp_
z<F-sLR1JiOFjrt7Hp5mY9SBZz+ZiJv%cXd7z&uCd9v=V8?5*lZaCx1IFmmtuq-_|o
zdiQhsy|wEe=yto60Yr{*1O}#UUv`fD=tH^4k$XY2ImZTFw+d%p50m#C`N_=8%x(K>
zR#3VN#W%hmxBMN6xP4XY2c?Tw+s`%6tF}Wu$c+5C7qRZO_rDFqeSZS)5n<F2{O=k^
zfBY2u`DY>g3t{+=9{fL6un%jKll+^&kJOD>{>~hUY^L=9IO+cNm#pELAo{;wpNm=k
z6&{q)7v4nNT8F`m`wzu`zZ+jz?kVd2^_Q$@f8zCo_Njj}^n<@vcwqVw$=H$oh+Gbs
z)nJGwV~`&#2o<}O*w)-V9LW7t^oYm_U<JY9A0^a-a&lZz%=h;^JR~2zE+7sG{|BdL
zM0|g*(ZNX}-9Pmes#xCPEX5Jwzs}!__x{lSR(aG38htOsq`gX8rQ5D1xIkuAqfvw%
zHYu3G06cNR7iSG&y!Wqcf0r6NxuzQNCGjiKGKIpUy}#Gt5sZND@A-e?!GFEp@k6Wh
zGP;*LOnNFpETZc?vAMDf3>YC7LVbKeo+WrybfIEPQIp{)6bV-E9p_Oj$ku&rpE0T!
z|J{|V)&0a?>buQm({&%ARIIgB=p4X7_acQ^2(qeCM1v6h93j{|A4mI?ID|)yU<B?k
z;$yZbHomLMIgf@e4Cm$srj|Jhg0Maj*nY(Qj`SkNz}4uzT|h9O2o-+a&ty*{`9Deb
z$5fZmZ3uNm5DcYAV6^kGHMPAZALM~J<2zN@K>iweAQU)9WKaG5ox&%!LAd_2I}`@U
zXan)wFYopVbMX*stqtL=Um|4Zw9zIy>{B)BB~;wTD=;x-Ez7<?r<DdFY3H(Cn}&dQ
z7CvMD>mdw6=y{A#YUN$e5G0zO>2zkMBO(mX&0CZb=KaCM($awgOP#nG2}{V~Ok>xs
zbLV#LnwSk`VTq^-1I&q{;>pSOQbXvvu8YP}dvX%13gP(oT~h!E({;<7>dwkcQZ8d$
zE+@0w9G&vA8zUvH0Sr;YwjK?Vkp?KE=*dFQm@%=1xhucCv0B=|*af%$n|~i;OlNGz
zA_Nl-=aA1=t3g$<?VO}(UvFyft33WTZI1t8s;$pAo4zVwdE2&a5Pvf#o2J(+mpzX@
z8wwLIvE&y;$ANE_bK%tI;p{TyP0;qBT}qepnlrgmjtOTmXdXDYrfz>PmX&DOn6+!y
zT7{Ep=P+!zIAW?>*JWKRCeCm;0)fGfx#@5?94k8d=p0c<d#Fs@V@W<tDKW$;^ce$H
zi?B=MkctL~#kWOEq2!F6bkAm(b6$0^WR|XLE2@}n*JPV?_>aH3Bv~YVR+&oOS@ITW
zu{p<POf=GqS2PALs@V;6+J%{Etysb3&Iu2nQkRbK={0<1H-_VCRFeH#R-u-upxTT)
z%u<CIrW#v9T?2YaH<4Pp8#23J5|XVpR$}3&1Z!LohE{*|!hH)ST5X@<AXAnCscxit
z<?@g>RnpV~SDEL;zP?nCTMUcIedbvVi^XDNLdNx(o*H!1)|-Y?Kq>3>7Y1z>!(#IS
z<Ft3yT|sZBc4?)(t(xHD207TNUHS4Iz&Z2_A+{pSlA(_#?XwMD8^W8ONDgduMovy4
znh~}ApzkFG=MT&6s#`Z$(&JY_jE&?Ro^S>Nfomdbl;}|fY)iKUJ_klu<kszbv~FD&
zlVriLqIetA_l2gj@LM8QaM2fwuR3n;436si=Ywou%7sGHz;KK$(*I|^Caou=C82On
zD10A^6oA<Y<`ksoLxusF24ogMmJPDzLDqf94ud5QZ@9r~fOQrW&4QwNP|OU)!cg1^
z#Uo&Q2W&AY;eZlB$jO470w~!4O1=R5cTg%0r5ix$5R}P+GC?TY0Lp#`<*ZOX3o5w4
zVL-(iP{|LKqfpfeH4Uis1Zv-eIti$^7aAJS$OesPLDMW~=7HvYAvXnYCg80Iyz7Ve
z4R}8a&ItS?A3iXH%K;zypv5I<8HH9+XuTKOoP%~gXrBOg1LzchE)Af|Ug+w9Zn@As
z7kaqBGY~up_$UbfionN<z`GYd*$bbJhtCc8!V6yp;j0w%ssp|4(0ecR*$Vw~p??GD
ze+dS7VW1fXCSXt;hPc7!0AC7*u7zO{818`)W*F&#QC(rQAN)@6Ctyqx#;%2NTVcEx
zCX9fIc9`UaKu?(56Q)dqspnw26J`vAnO>OP4(8N=xel1S7v?R3`EFQXz=C{O)Cv}R
zVMz*>#v$(#EQ`YOwXo6yt5(A5d{`5Kuk+wrJAAhiey9RJ#^5J6{Cfn1%<!Ku{NjXy
zbMWg;`0WX-cff`QuyG)4>Iz$0!PYoz_rs1^5KhAHFW`SM*trrSd9dqq*gXyQ1Yqwe
z*#8b32*W`;{NaH^R*1#m&tnje!I2moy9p=q;M6QQ<AZZfI3I_LA-FOPuI55wC0r|j
z8#cJP5pI1BxAP#`3jPYgy()0O0X%TR!!SJB3aORw_!9gbh9|S&X<vBO7oOdO=lSre
z9lZ7<6`(>OBaRAtP>~VH>__RdP{w$a8AMr8lzj@lVMW$<sHhJW8;^?TAzKucNTHmK
z$le!~&PQdAp|Vd<`5LH#4>`Q3QeRZL2C6a*RrR21c2xZ)su4vsgQ%7V)h>(bR6%tI
zqIy<TFM%4kQNsXgR0B1hg__nt&4MU5iQa03-Z_Wft%Kf+p!eO#*$VyBjy_1B4>zKg
zxu|s&)W(O}hEcn7s6!Lfu^n=MjyeTV=LG6%Mcw+M?k|wXi#|GqK5l}%RnR8|=+hwj
z+=aeqfWGvjo_5r08tNTHeezL19~xkwK~>P;0yJbR^2N~57ihQ@jWnZCUNkz0{5R29
z8ye?B<4>W92AY^efjVe%Pc$WjrWt5@S2P1Ovj&>wK(mjbxp`>54=uQa76s8_4_eX+
zE%l&0Gg@Xv%buVWUbJ#6TD=jiaigFM1;gm;S?HUA=-XE4yH@CX(Dy;~!&a2v75y|G
z{hW(_j-b#@^j{bHWhE+zp<naSZ%MSSFIs;LZCr^qzk{~cLE9W?dmM#B==XVOr-61R
zQ6z?TMbPeJXs;RV1MLf;16e5QL<dKpgHO;O^U$Ft=uim794J<R{`8~&+fm$x;y2M@
z7djk8M@FC{PtehG=s4&^6LivyPUfLgJ<;iQ=yVdDS&PozN9UWM^Ko>+i!R#HMIX8Z
zx?C1riK44<lyIYKc62R;uDj8VchHR#x*0^bdZJqibo&WPno%-^{<?(j#?ZYmx_=Wr
zc!3_-(W4Mb^+l;Ddh9}vPocl#=!t=zj6hEf^mIIW8bQyxqGuuW+<~62MK2ua#dqjM
z3cYNHUZ&8i5$JUl^m;2MLYU;oWJ+Nw6vSj?VKM@kj1;D{o|w{7n2Ojjncu-=4q!^J
zgDHa#D`2?)G5j8ka04UWz(^f1as-UB0izzkXjL%!pBTLkM&E!jW?;-V81o9oYJ#!<
z#Mmn^v<Ckjfd3`MxC1a=8;o}V<1fGjMKEC&OcVnX=fNZaCjAqW4!~pqCOd=42VjZ@
zn6eC}ii@ceVwye}T)}h!rXPYCl46Dfn6Uw70yF2p%x^Gj2FyAHvsJ+Cc`(NS%y|cM
z)xg|fo+y}S1Lhro`Ep>sF_^yq7HEM5&tTy&SojMTnSw>ZVj(OZ!s0cs_#7;L2TR1o
z5_7O*2us$$l5?<BLM-(JOP|0pNwI7nEH?qm*TD)QtndLVZox_&u<`+{@;_ERfYs_?
z^|)B057zvEwWDC2Ke5jLSa%85D}nXiVEqZ$APY9Qfeiy}I0PHs!A2Rd(Hd-=0UK|@
zCQGpC6l`_^n<vB;0k+J7twPxPPi)%<+ugwSEwDow>=*+(*1=9Gv2z3LvH-j0z-|Sw
zdkO4*2789E=M(I81bYYA`wI3sf_=wezYz9Yg8egK|2;Sm9C!l<hj8!$9Fh`;hH&Tt
z95w}qN5SE9a72J3cHqbkI4TT|PKcvl;Fu0L<_C@)fa7}L_!2nb3r@U%lUCs5H8>>(
zPI-gV0-W9fXKcY)f8y*eIOhS*J%RJq;QY8ae*!K57j(geEpSl|T-*Z}f59bFaOnqJ
z)&-Zxz!g<+Wer?a23Lo{)gN%p3tU$Q*Pp?Sd2mx0+*}7Yzrn3BaN7vnz5sVz!JU0@
zR{`9;0Qa=Py#en1f%~rD0q|f#Joo_*oxmgDkqvk>B_4}_$HU<9F?g~Do(hAfzToK(
zcs2r_JAvmn;Dru&aRpwQf>)N{)fRa5f4sH<ueZS)Ver-zyj=xvzrZ^S@NNgZ2j1_4
z52N6t4EQ(<J_+z?4tzQUpFO}A@{kYb$zz;n8E~GvIM3hXyx5QP@-)t?%Q$cH<GkIE
z^WMez5XAX76z5X_=d&N@^JkndA)K%CalQp{zIVd;kqYOh2j^EOL@GoW#psJ1FLJgc
zd65-IF?*s|(@|^}#a@p*uTh-sC~gSFYlPyLM+poixQ-HzLWz7RaTb)MI7%8q$=V^;
zhurfhc^IXbgi?+}soJ4bw^8cpC`~7n<}pfJ8%4M%Vl|2kqNt%LT@ZOg=(i9`zZqp5
zhcd55S^J`Fw~;Rz<%mW(UZY$Al<P6d1Ip_~d9R~<n^FGTsK9kp@G>fN9u+=~ifl*4
zLa6vCRN_4<8I4MYQK|K)bR$&eGAg$lmCt}G_)vw*sN!){={%}D2~`Q8s+CdI_o%ub
z)o6ukHbXT}qgta-t;eW#WmJ1Ls*@PixsU1|NA)HlzX$n)sD5r#|2Aqc2{kN@8hKHp
zFlrn`O<JL*pk^*=wi`8Xg_>VSEgGQ~-%-nG)M^rHodva?kJ|W9+n%Uh2Gs64Y9B!D
z-=hv8)G;yYI30D$f;yc>o%^CL5va>?6aaOLkGj1_J^G@aSx~RSsJEfs=TV=YsBbgW
zuQux63Js`^29835JZR8uG}wcNxM*ku8nze>pN>YvM?oJN8G%NI(I4B<pW{&UYV=nG
z`nwexRT_;BpfNr)<~|y`AB_v3@k7ys0GgN>O?;0gtwxih(Ui?7<VF81M*oJ;v}S19
zcQkzxnh`)VOQTu2(d_AHP9rpTAexsS&G(=M)6v2ZT2vS<_M#=r(b7?9Sr{#Uk5;;9
z<!iKhJzDb`t=*2+7f0*QqYWXnaX#7<M4JbqE$7kJQD|ERv~4xo;YT~YXjc}r2ejuo
z+WQ*qJB;>+(Saa3I0_vaiVhn({2CoOjl###e=hpJ89F``ohXk^?nb9Nq0{lv8AE4o
zqjTfX`Pt|~J9IHOy3`k4-i)psMprANYunNF>F7pvbmKm{8AP|LqucS(oeb!1Zgk&=
z?uXHX^XTDb^k^u0oC-Zzj-KvE&rYKk8PJQ@=v6!P+K1i@L~o0ucOLZK(1&RBF*o|;
zqEE-s=bq@xXY_Rx`ZgVX51}8I(a+`RS1Sw`i}4r}nAT%<8;dy(i?tt%-463S#^Nr<
z;?>6DpT`oc#}dxQ5*@}8U&fLQ#F7@ql5WP5ZO7d6Sn_dLiqBZ83|Q($SQ<Z;Hh@J`
z#v+GeQ9dl{F_vyI<~@$3_hY}e!ZPf}GIqi;d9ln9SeEZt*27q~<5>1E=Bth6n2qJU
zkL6yB<#n-qE|xzPR$w+(C>krg8!K`hE4Cdg;l)Y?vC{jovR<s*K&<>gtipY)k{_#F
z8LQG4tC|6;b{(s+7^_trtK-4yHN)yp#~O^o8hNnBUaX0WH64mI3t-KISc?d(Wp1qH
zbF9^OtaS)$!-xIRvH%K;Lg8gl_$Mgh9~5~QMLmO}SD=_@Q0zA-?l4Mdj}kvYNxz`v
zB$Uz_r5;CVFQD}4C}TFt?2odVqwK{fCxmhzL3tsRUxW%apu!(eQ5-66j7rX<<<Fp%
zS!mU0w7LRX(;TgxkJe2`>qBTGXwzi0={(we83p&FJ3l~oh0r|#bZ>QZ?+@s{Ai94x
zdZ0IY@E-KgW%Td^=#k#&vCim;IP_E)db%@u_677@2t9uoz3>To@dfnKar9~wdhH+d
z#s>6ebM$s^^v-znP6)lb0li-aeGo(+{((N8jy~;;J|B+0cmRF90)5jTeH(>-Sc85%
zj(&Lo{r(90V=?-(KKd(w{ucWC7xb^tf1}a=X(%)pZE23SR!7^aqwRyyj>TwK8MGU;
z=O46p4cZq(`}d=R!_mS0=<sB8q%k^L1|5q-$G4-CA#`d3I=up&`30SQ0G&ULF5ZJK
zoky2XqbqNq8`aUx&gfPgzO6mJeKfu!fHfRDfV~En+KtQB$7Q$U@?~)OA8^G0t~eT3
zx{L#Zan;tiT6bJsxJDeV`2nuA0@n%RdcySw;|8;Fqvp8DeB7)IZnhgY{{*-A0k_J+
zt%JC28Qi`C?oc0h+<-e>$DNPkF0bIO&){xhxW{DNGYa>bjr)N6*2jGh<9;9D{`>KO
zKk%S6cyI_0`3Db+!o!E-5g|MZJSq;4nUBZ(gU61?<7(q^FW?DTc;ak4@i3nB4W1l^
zr)<Deqwus4p0Nhc%)_(p!L#S%Ig9b!H}JgUc)?`6a57#Tz)R-iWfgGP8#sJ4j#!K%
zAHh+Var7fNCJ)C(;n>|cZa9wbjuYDB#M(IVJWlS9lYhY}@8Hz!I4y|N2jh$)oYfv@
zeS))tI42C}4#s&=I6s67({NF5TpYl~hw<|Ic=;E2<#@dEI9|IQug}99R^W|ccyk%N
zc?AyQA%i;qA9dji>Y|`7RZy3op{{&KT`Qojzd_xchr0Ozb?YhW_8!#j52!mIP<Owe
z?t^-;3RvRJ!2<wR03hCJkLA3O&N>et#mDK7Cs@mhd~&^yD{^#yyoDvyKR$z<T>bb=
zmU8an^H|6?J^wLU3B2U=F$3QG`0;U%oPX-$J~RBOk0%)Lw&jyQKCY;ElOJzkr}zHj
zGdSRH`uI#z-mj0(W3&JKy_(Mqe`?f3$KqhJ>SSwqn@pI{$?y?vO;dlpf2BhvVy$Jj
zX#|yB9jW$IZl8{AU_$Ba%%?Kh?)H2(*DhP{7#&`%(j#}8**0N9x45liBG!7>7I&^X
z7ulY4`k)D2@vpzpmnxg)o~o83y0pbg(^w~wi4HZ2u>@rkiq%evVMUxVje6ix&z7EY
z+H0vWIxzdUju8|5Kh}W#9l}=1Y(tp95YGMj8|DZai=l~LmIxj9Ok(t$#k(;y2&k|l
zTAZSt6gl>h<0Y10O9vM^=_F5z3|YEqCr_3f?aw9SqZJQ->z>D#M~SyR%fQdL<N1B!
zuKlVw91)ft(xivD;m3wJiuczk19`TZ?4kM`_B(>6#1<?<6Z8Lk1QH?Iqr(o-ph%1m
n+_ODIu;{%utVl=&!C{`o(_1INk$Sb6_Nz11f%_kSg5L}Sh;n$c

literal 0
HcmV?d00001

diff --git a/docs/deps/font-awesome-6.5.2/webfonts/fa-v4compatibility.ttf b/docs/deps/font-awesome-6.5.2/webfonts/fa-v4compatibility.ttf
new file mode 100644
index 0000000000000000000000000000000000000000..8c5864c42fa295c7620ac149b478e66b668affe6
GIT binary patch
literal 10832
zcmb_ieQaCTb-(xV<B^Z#d!+bfNwNJ%N~D~avM8FQt$dWR^WkJk<E5?b8vP(8(-L7x
zR7g5@9C&5gA&plwP>VH7ilEbm{gI?aRv2BsyJ<s)6dkq&TiX>KkO^CX1=}#lL5sF%
zOYV2>ef*I8kz^_D_wKo0=bn4cx#ygFo)~A0X{^O;%zWs5`=%fI)X~=&;}d8t%`KHz
z;y>8^bH<c0wB0nn_}J;EK6c^+W42YscK_i*rF?4QufBf?W50wazkmk2O&J0F6Fg%J
zOU?85ewSe^e+u>I7i)9nKRWft-^BbP>PMH#=U3PidlLOF)XnAcQsq$U?%!oBf%WVc
zS89#sAAJ1R#~4ff8EANsfmWNt!P<9^|K_8{Z9iik1=AS&_spxnA<ND$JKs=>{8dz4
zOm+i3{=eG!25=P7|4XGvEn9vm(UM}n&s5P){d~(PJO3eHWezkyz)z$1UaR~W8^$aw
z<*@ZIa(@qG?9SuwdyuVf-udPQNdsuRS74{t9sG+ZOh7I95XtiC{F1ZIulx0GJH{26
zKG1F|McUaw|GL2CM_ZUnSmGzR2%JTh!lPPGirVn}ri+ueI&GS#u+FdWw3$Rr`wKx&
zh&Lf-7c#p8wA<OP%{w>m-8{Yddz-DzPi;QExw`rJ%`a`fym@)^wap)H{$%riu6V8_
zuH13uzAF!0Id<hESISrBuAIN}xhubTbNI~*oepDSer5CGb?0kh{t;__3G>hP=Ns$B
zw~Q|sPZ^&yE*g&;7mP=YlJQaFL&kfI86#~Z4Y&TL{v-V#^}p9&(Z8dATmP2+lK!;5
zSNHn9v_;0)*#G1AFnfl3d5K@<|Et`rykeWS{i)q=zs<hkIOO=Mb5^yhUv&++W?e74
z?e6!xKkI%?8`GZlOnScWebl$t_aWcYzQ6Qs>MQzxf!gnphIQ6?3;Z7jZ&PfN<sh|K
zEEZRt;Xo!7jbvk)=|Vmi$m~xg6KWt3NM#CYDw@h>R8=jgflM?SO+^!#0xz}Kd9l5&
zyYbU`QI_V(ldY2{Pk!ZO5^wSP%1OSC0c~plrwJF@Kjq%`PoI49fhX~s!Na|xppyng
z>HM{z@g}y1v1q=K$;c;}N~WBuQ;kH$zwC6u1^^A{DC7%28cn5k?^2X}{^5u7c}3Z^
zJCz#MbY0sq791K1j>&g6cA#+Ut!Xg=Bh$CuS~w8%dU=EIHqG5!zDZEf#Ll|Hz^gJU
z$wVd-SJjLYYiBdzOd^xZU|DJjhoaF;1O((VvIjI$3+O9k@}QZ<QV)owmfZeSDw71+
z5=$1l%coL2s`-3cQCHnzv&4fzf6?tO`h!7UGQ)0FFUnq*>)O5iYwu+Ac3gtza<4nt
zt=Mfgk&Q&d8EgckVv9sDNT+wcU`u2Z$yAQW#x}7b+AJ7BZ>P#ntgfy`6t3&u)bT*T
z)b-;jkJIV@^3~0n!|CViN@UgVbb3<9b=?dEj;Fl3&f9EztH;nG5JgyE6;^JP9R!_Q
zmrg(;J+f}R2mUpSG@_wLZu>J=6G^o5Z&<Vu6+Oz@KktD9q%+?6HO`nFdUFe7!DM2q
z)?8aRga&-prD?7O&8Zp(4j8IaTi9ObUw64yJcf_2bD!Z^*-{bu%5H<c-bL$<Z`ZPG
z>#ER5{);V`wp3o;PQ&&(6E<Z7>#o6~6xf686uW?ZPe(JE2uw;O3WE}jghQ$`5u+26
zf@vw_vr#!9oS}|*Dw)fP=0Z3phW1-%@;e%A!oYBYuS$c|UWrE|90sT*>+;<~L$7XG
zrfc-@HL_e^HfTP&c_bR=M*)yQvu06ITw7a{v#r8Je@V7bQQFwpkTt6i=S}h~#XbPh
z!K4z4aMCPZBr<&tWMMvtWz*3VPF~+qXM2n##V5u>jSBr%e&O-QANP13Cljc(Bmpgr
zYCkR(i?ZG=_Kc2lK03O`s`Fzs)$hk-Ot{0^?j69RX{dCVoQ*e4;*6%F9d&8Hr7hXb
z-iN(OjhA*(+QhE4Bo~u#IMoac4QUGL3T*+~MGtM1Ob}@eZ4DcPV-j<CiA>_nFS*@h
z$zI$;W)jP{+M6V7A*P}wb|TSeuN#~jE0X9H93Pn1JulK+xBI1=$>g@sXVS#>dKX1^
zI8Eint`5lk4ahF|Hf0xtP3?PDDPNLmR%|>#wpQ)8{`h*Ld-7d~uKhhQiEou%XN&C6
z3EMTz|Arw(rn5-8mxYZd7bbO3xV=OY-XQ^(mOa`$K2$}NFzoe)!~QQQhYo%22l&m#
zlYxNpL7Poc{^XW2;<~Oc{T=opb`H3SYveb8hXfBh0Oyz|_b47x0eG7PaRep&yX9xd
zRSI83WjsM#b0kyHF6ncDGM|g(MaV!WhH%puajtMiW)Q6ShG#|<ZjeO1!!AYL;fiwI
zu7_?37;#l`7*5R-)m^GfHw?e7;ZAUGE*Iv{@Zk}!!(sP313Q)W6pzJkyZ!Lt+i#1<
z_#oWz`~6Wh;NCeg<Z=zAysA@i4|_&^4*e!q2&=e4cGd5;Iqa(4<MsH%p<p0n=Mxjf
z_Z&!T4v)t-9k9D}{hpbbv3PuJX6BwggqXxmfeCDF3-^yW?EKw0U$6-xycl<igCzOc
zJxF91VjO~uL4dIv3|VjC*Io(fKF)o5h_7{_c8RZc5DZ<X&omLOU_!AwUI6V4w424N
zJ49S%b~gA1{KW_1CqO*~Lc$Rtf>0^OfV`;13XGtA)Gh-rG7i`iEG6Pnia3P1pb$$c
zfNZCr>$^QyKJm~)6BJZf-kPf9)Ge=nonF57j)reTMq(1Nwqha<Fxd<{%;wl9uwTT`
zGGGMlB0z**i-3@{9if8F8P4D=$X?zJ7SY2wrix8FZipbG^0(;!?_@IRa3pob;ZXEG
z^c`JK=%Jv&FIqtR6Z~t{YIR3-M?2wi9SGZ8E?fAZsveZk0baUh>*sWRJ8D{_y=DZ1
zMgnrUXaqx8N(cS}5`TO<YC_y$*J@?*4y_b%28LOJr4e)7DQ!wn9)Lkl5)h6tMp~8=
zb|#ez=d!}qI;4?+87m}H8H_`O?$|$QI4BV58jf6nY!qo3^fH^r6nO!lmg4Bp5a&Zf
zqkO#!wPB@;qP<uYJuP}$EeI%#k&#`yMn(+$y3hmMun#H9(2gDSwkt#aAqBS}OzW^N
zS}vgWy1=<^tsoXHuFD0sAr<JS{Prnjh_DVRcTvHZvuBS-z`^_3huI2gCk_+cwXS72
z$M+MHgj1$lB6%{K9Gy%-g~gGKXX1jjWOQv;k5{J&yYS%T+X>Azu(CmGx&@}FO1f}z
z)`BO2q8bc)iU?gS5gZ*HL!nx)&PzQI&Fg)$+K1K#$K!Sj-j5D_ChSpzpOrAg>>nJn
zI*8I7>=9;~b-o2#{kJTJ)6asjSgd<Fv0^<~DHvrD>5*^cG9;Ffa`*C;%<UJhkJK+_
z(uJEBDSW|hN)-0=F5v5OdGrtTVr;2Mu~LbGosy30V^PxFVY2M?x=RN2A_+#iff$K$
z1bZnz5R`I`i32196)TeGR|}c88Nj9jj9A8tUBR@4nsRGZxps>-BR16P4eLR?)ou-P
z6m^USUv10}`Vhr!qi<^<B?98$HRyvW2q2^h_=&!a?z#eaZBU#?5wvgc9y#qEbUnfp
z7Vdmoxdn8k#2uP)6)HI{5t#@F21yE+h0sNu8I&m-ax7?!N*@;`|Ciu-)iBh%o--VF
ztu~@~y}nDAd|t0IQq$}X<GH&cIfw7jV=f-5I-LA6dF)R|6~y(+&x2#?efO!@$n(pH
z^lgz(w?ECN+yB6)7d^JX2i)HC2OwXW+YmA?^yDjpC32|bK4qpwnmo%v_o8#^h51{h
zczH)Ks5!kL&hBsy#p8Q#-!q~3yIk#yf0Iv9T<!CQy>^Vmj>aPqu1xH?eTw9;-kl+U
zDT}^2@NyEwija?-V=wzcX9S@ktcVC45k!M(k$=e-_(vStQ>vz^PiYR-I005zcHn4!
ze2kwkRIVGIRhMg3+@z(7(b?r=<9S@Hx2`=-i46)KDd?m-h`gJ~KwXB!QtuE7Lx^v=
z_9MD?RaI9h9I*~;e`%dUJJ#8NT-Ko5l!u8#af^;_IdfvCF&q4tjCv?m0EsdQB_axn
z9l(a3!dgd99LFLzE`=2}cF5@*bGls4Lor-_6uw467#v6PX#eM>OP36;z<yvn29G&u
zyb=as$Z@<5<Fdw%LVtwU%w{Rv7MJ$~XzpJ_MQEmyic@;X+2bT!NTGk>$&#l|B*gWX
zj6~65&jDRcNEwZ3vDoBiG@IgbLESb2PBnUTI2dw2C%d0>hl0cYA_=l3TkwvI$RoXX
z*DiIQrqT2@Jrd?VUqp6Ad_Dj;6LyyBysivkPbv0Z_6R$V++$zzdHA$wM&>SPp8-0-
zNPy9<)Gi0a9#v>UpA*;>PQBcxKmkSwHYCA_gftIy+%Sj`s<<U0<MwsBrJrzf?)G?n
znkgwYHJ{f*Z6}^WLyOG%{aLxyex(%DihhUP?!`}4PpB#ZICB1?77R^HOoT!aO)C*r
z!ZgMwC4%-pjZt0m`aC864BE(x+$Y!Vg6llcG6^lAM|uxf3A@<}@YRV4#Jg%|Lm{0=
zvD<O;ud<K50}j&dxTijp`yh`Pe%Gzf-k6au;Fcm8U=^iON!G1mduC^QCg-i0`Blk8
z`EI?v%DdxbG)|$KVBmlz=H7MdTk&!WBfI?E%1v2Ylf{Nryd@7Q<s`@A{dQR>&hv)i
zf<8__8&9*3LmRsp`6P~@N~hV%GX==)B8HW|8gXfo%sw19jyFywxxsG83Nwe;SEQkY
zGf3ryjqV<5@)9at^2F3UCg)+O``<0rZgj3SohNi-%IBmL=J7eLU~_6p?%wZ<!Gwv<
zUa6|8OHq(F@VYZ$K0G`=K0J&lH85)4;FQCTl(cWU9e!GcR#Wy5vbf~e{tk`g)q9IQ
zf=HScp~VjE922WxwOx@YQhrv>`!4wFIBpT!zkWzQOBM#iB}#F6q>J_-+kFIU7qP=5
zhC1LLxurqv4Xy+KZxHhxmiVuV2jqt<=sE;Lu^pV>9fL8zzygE5zilZXH{tcM2Ru6w
zug}Rnke?ciy@gGe>FO91!l_>FM-c<G`r_AFc`N>LQY(4!C#^$lKM>6je#8<F^<#wr
zQuXUDAmq?S{Lq5V&%!TvQ|wrYv{C4MnB2@jts6PPm*JC7L}XmMiO3weC*hn(kGI#z
zK$jr4bI>Nc&FS=A>O;l-V`Fx%xpkl0<;>^bOXH&5aeMj@BrkI8i8vvk0jZsR@bf$#
z&$)mCj!AdDH=9*3{sp8+<WSG9KA6V>*uTiRh`4q)zWv{ho9%HC-%@NA9q`NjOBa%x
zYK*QdIPD_UjAS!1h9rQz$TelJTlu6rbUx%(X>Xvbds``~^K?TPyt<btg-p-Y0Dn2a
zc>oyt22Nid48#zyZP3)~ylBszU%~G>_zSqz`|$02lx4AJ<W~`PL}7`t8GNtJ#_*+X
zTm}~oThK;<jZNlJ5j;<WIT7{6<HwJm`15}`a^%Pp2d6JzZa<IbnJ1oj;=Tj?@*8iw
zp?W;(8y;;%^=^9A70tuXe;B{f2l2c3$}3Y3J~%;X!VYt}I5UiAHSJl$0C~*bfllIF
zt+71251E=8eVr0{2Ff*%ZIsrLQY$0`ry5F3Aqm#~!IC1J%@-osRR4n9jSvttAVTha
zG9sOf%5bzBP0&crjvSnc$2s(A=HL+v-scFoRGY$8n?u{1Oa!M6w4@~EdrPG>C?Lj1
zZ`!wSW@g{Mo9Lqn!FTT;AJJ92f+U@$DFMGRv^h9q5H<%FA^tEHAqyu#Ho`p?%-J~F
zWV?c_*SH1SkoVnd!S;bM4mJ&Km*btVVV5je!{~prU=NG3?^>{*?POoH;DEqyW86-s
zXus`N+_DMg?0!CO!3xuP&4O+07{6%2_JJ`Dc8dSA)$U|>DFqAG*a_u7EZD;)mA|lH
zKbuh=x8MNbzo)j`H19lDY1Eb~=A-+~!?mTAa<e*HU92`AGas(ZpIt21t>SHsP3I?b
zlhem4^+vU}Y!(XH$*IgiqyVRL=EPP6a>$G+ChVa;i;hS4Z=oXnc9vggHdh+Zkkdd@
zmfM+}t1Z2Mp<<q^%%&RV68`+iT&b<le$46|XlqoOW_kIP*{szT&s3X}hifa3)vNOh
zO><&yk2y#yy9bA8nKhY-)aN-?VGY!mP@3#fwjb}qqP~JZTxcQ;pT)C?r^y~e-@_O;
z&(5Ny%<9`}zdgKZ9CrHSl1V7#F|1ezja5OliG*zdCTbD}I)jh+Ilvi=%7M0t8}4in
z%M3>MSJ=~=x0N5njqCFw{af4p0(jd*3blbm|33UXZONy+MLLuC1VD0nKU)y8BFW9-
zvedv{meA7x4ii{vc)Id2!8Mw-jGhL@(}*%^r%*Q0UV|LZ2-!}GovuK}b=2pv292G-
z>^&&2Cs~|!<Q(YN`B&r|uJud72r1l#zi4o9Cs#SVG1s^Uf0g9pIzEm1d4Lb`AP?~{
zkMJnp!H4+>ALTdkoqQMH%}pNTah~8~e4HnF%1eK!*Ti8=pQ<&7&aR+1x13(AoNlIt
zw#U&VfHV%nK<DXtZ7DrhS#DP9W`7Ee=}l<XtO2TpR_mkn&MlPd&GcMt@$Ay_kX%5Z
zoUNDV&QzMA9v0Esc;sxkUh&Iuz-x`tPM7B@v$fip^l7~Ud<$v(Rbjn4S8n)b%k@Tj
zrCyt_R~ii${`#=GRJ~9Mo+ApE%JbE^bYrDlKeJeAc$aF+mB-SsX^ZKMHeWtFUr8_E
zplfn9qB+zo&n{M)>Bd~WQdv&Vo^3X3%b}$j=2W&e`Wwx1J-tv~Je_Vd>$Ni#=h<a&
z_>9^-TVDoi+@d6g8FEiOb_J@-r>f=Ubp7l~1xTy&%X+z9ubq=TzmP762da&Q8n}0^
zda5$mO7*np8k~ACopDPE)t2W;6pJX`LKFmbw+S!+;?7hX3+csby(~y@H|u58=gP~r
S`O1<PCUXfQCsk=cH~$Z%V;tcC

literal 0
HcmV?d00001

diff --git a/docs/deps/font-awesome-6.5.2/webfonts/fa-v4compatibility.woff2 b/docs/deps/font-awesome-6.5.2/webfonts/fa-v4compatibility.woff2
new file mode 100644
index 0000000000000000000000000000000000000000..f94bec22756c48039ad405859f0d0e542033c1b2
GIT binary patch
literal 4792
zcmV;p5=ZTKPew8T0RR9101~(W3IG5A04Eaw01|Km1qA>A00000000000000000000
z00001HUcCBAO>IqfgAvW9Lm2G%TNV~eFq=~i4zf3wI2eYk+N|9e*gDQd+!}v8jUQE
zEX&d)@q!?$NtP#COIg-qTqyYw=e4{kxRkyvy2R<}7XYY0oDw?^xRU?h>$LlXq|rzt
z0WK)%V=#d<KnPIGwzMs!gB@a%f>@(1-Pv0ESL=Vh{O?)w|IhgzKZN7Q8OaGpWW<cW
zH!tEPtw=kjw4<cIgF>1TrGEshnvVNTGXQY^dsG9|GjhVX32XKmtuFf8Ktyz@y_vrq
zK!Ap(!8<?w-~JQq1NT9T{0D$pe^g&z`8KW}sy{^v{5k*_0CIf<z^~Vz0w6{GQ2h`o
za0ULNvb3v&7XYRB698Gfi9f?JXaIOVUJn3grLS}!Ov4KR2xtwIYhed|8Ju$DvJ0S`
zoO1UGI%eY6;jCVa0T1DO03ZOs(cjht6!k+0^`m)><JMRJFP8#R02~PnE%7-!qyR6E
z=VB!Q7WJc~07(j<2Y-o0{U{do|8Yp8y26qU=OYB_iUfHB0D91%{%>6mnrHyPAqb!e
zn<l4B&YE05dG=&9dCBDElkwzDllM;EKl$+F2a}&o{yh2jdTTviKeT?%`uXcuu0MYL
zs`YEupT7Ru^#|{szWYR7158etoHe;_@~m?Mv(ecj4cD((f67O-OZzkS+w8mS7unCU
zm+cewo%Yavg8f+gu)WXTVJ9}@ck^HH@AL2Sukg?D&+^akck`F??c8d=cP^s!t14>%
zb%`S^VHyIEuoDIV7=~d)b<a^f;isWm$g_c?_Q)irj^jv`Qz>MsD5W`dln_FSSmijZ
zN-V09GsYOlBAq`tetdNN`0<Y(PmUiy{_y(faV#0*6;SC|a>h<n_o7wZyRvfr%F4>h
zzLk{~w7&S2g(B8pq|;yn%maulSL$z`L?%+FI`zfvrKbyd!xui)X(E$6%YV_Aa`Pra
zvh31Jvy6~Uo2BfVoSRd#Znx{se#z5tG2g#`2b7sCyL89?{rO^OS@<N}90Z&3$Zm@-
zzb*-230DDN5-Sx^s&wItRCy{^1C_{xQl)!6A(WqI`9Rg0(5Wtj^3#PpSD8#?tPVHz
zg`ejt8|;x%B~+)FURJ8IJd+ZI*>0N!r_2k6=(?SPv7+O;I1D^Sc>ys3hOyf46D>6H
z0pD@F{}~%$KLDn2>I+ZlRF_gwrAw)jJXcaBd6qZgG*09|WqBrq%2g(W@+nn9`BbNP
zbUYsW1Ua|l5yuHQKO$SY-ud8oJoX84ZpkB#6L5Y+nws9hlKA6}uD9e7&I89eA}!9b
z0^*N5x?Ur1*&G3g%&Y^7Uxz;I1;Fn0u_7&uajb=(aOmJjUWw|J^y~3clyKB-sCs~q
z|9JrGN9z)sSi&{{H;GqH2<rn@!RLLIVVcH`rcUj}MVsp8jb)#TpEQi6mfgk@+jeW|
zftsKW4-ml9VH?1fl@`K!g;lwd_#o=E-cJ|Gm5;GT09PS^94>%s;RJxYAe8bwNBJUD
z3&Qt$RF6ZI$V577PoAX$D4(Z#RF5N>3<g!($-RMBy89M{?=|oUIAdtzSU4F}OOf!A
zF+LJjD6*`h+|F^vidt`6WsFxJw6Un5FCx5{GgdOjTY40nv0`;~RTQ#GN5B{#3P+D2
zXKc8(wk9gs6Kr$Hx8)>U0f0iXX%tlh(#2|Eqf#}%tz?|W(%PCbw^6)RmS=fQVLY+C
zyxeLno1B{_3(h_=P0r0<6~zz=GRBMfejl;lpD!zhS1vCvw>q8HvT2(95U|l9Zknda
z7_XseLCzTV`|}9%{XU;!L7pf!!({-t>QPqW+9wjTlsz(uV@;<@>C{oa@I^QbtTl+J
z?s-b5p&A}dl@qip1&1D^eCxXzGuv(RUGp8+on~1ziG+_+B@|N+3qo0yHln>W-p5|T
z5?!}5|1PuLHW_>OR!*5W;*168i>NBmkS52r5p68&F{<ZpP`F#UX`E_Tgu@w@`@$EF
z(uEkQN$FS9H@H@gqxu$O9It)XB_Qy+#0C5k%mU=zz)M9G&6O371;ojlj}zgkSa~YF
z_{m4QH#v@+wk*%<yp5cC>T7@c)1UtI>L_s>a;(uH<Q?0tf`&f5@p<rAcp5-1r0|7M
zzEF)u!c#rr=UJYszv4iNFyNJoREbP-U1QHPSzbXVrHW#m>QqZ4m8}XPR5l3B29O^L
z;R~JWg5sY*CUPHRtUbN2PtdlJF>Bf&bjlFOo4mKpu_H<}TQ^&R8`R*o-Qi|K)6N<U
zJbWEa&sdt)?C8!$QtietI&ko`(+(bpLc}mSaPYL#4jza?tUH~KpbpzO*ENi;w5U$l
zbgSRi_y(iLo80I%X@@nmCT+H?R>$kPPOph`bH(As9j4Z5wHKVG!TFi{_RU7o?7n?x
zp1E(|Y!uDz+jk}aG{NG&A&$U+2)4l)02rsSiNSB#nELj<(nKaQL~r1QYM?@}ip$Yx
zG^&<*yp7oAJzULQlxm3M8W8GzgCH1UoA-)4WKN`73xXghD#2qZ7SwCFhO2N4z>U+G
zC=d>#s8U>ZU#Lc2)u9??iJm~IItl(Th;qf#f=njz8|vI`?xKt4EUvsS!Q4d`&9!vB
z1F`yWwTV`DoV{&|1Xw}<``|RV2A&V#(wrKN#1J4xp(vHP;L^}NrFv$9fc48KaYPYm
zP8pKAhGbI|MVOlXD@hVfOE}Rq!gB>a$9c?qu8q&Sn6I9XpSbC!o2G7>s$#=f^csfI
z@b*%=_qgFj9M-J&wVb1Wh(yzpYSngKJLVjpWxG8db6!0k7yC#UAv!_BSoCT*^WgX1
zgcLY}X^3G5<Zy~yN#be~-dW+)-A<PGg)ij58>I4<*L;gl@l>2AQmI6y%G34;k0HF?
z_(ASVJrAAwB2Ba0c*C`KxuW0gB6hodEOSy-6h%=d7RB8;!fv-;TBGWNwmmbmY17P%
zZJ$k@k9M<5NOx+gOGvj#x}7d*I=Y5V;3QThUZLy-I<^(%OA9f4-qG$(b2sUB3F&sp
z>0Ls)0J=>6+Gbz}oC}YGC3rqSo(a$CTlPq`h=?kmlnol58F)HnDOHh*l#iCA(WW_F
zunhG3j(WmRF|Q1ubj`uQJfi_$e4T>2UaLUllKx@_XT7+^K8$f3R<Ec$Q^>}xwxJbQ
zJ^I~OdM)a{D!)w^v4ht-?qM6wSWt@rj|%J05WufO2&VzKVHi3ntj*vi6FE?!-sjQM
zMQfQjFXNNJ9`$#}zVK8SU{RG=pzC&qj14=ki%vM3&Z$ZWQ&`}z@EGMov)wj_+%UX?
zZd(oXbEo!fX!D@2MJ(e4itR7}aOYYVDr1GU=9AzQ=5fO?bX2GuSo_@e(XfgGuJNNN
z!fY&X1j^-R<ER?_OlOQ^3yALQzf+gEM5Bf=1x9f)_ta;c#*Rvr)3K~wAQSh4&%<`{
z+S=M0arp>%^=HX8EJ6CwWfG}Vs;m=GV#NNnNJXWTN;VwFF<vC9bRk4_mB)<QHa-1~
zw$?Q7m?4(cK6$cjS!Cu8v#Hr{Jl!8??WbO8VDBbP#}Bs=+b<J@bMyAMaK`94=TOG@
zTW&WwZ}=~(UWN<R_i*9XR>Qf1Sx;YV0K_+7o~=0#(O@d$=UJY~XbXzHWV&JTWU(5I
z(HGH_>zcaNwydV6ccW<g!TCATVHdXq9%O>MBjID)@~mc4(=DsL#rKiS%^%z?&j>7h
z2)k+Yz6ML!34oazR7GIW@j)*E-66DRZZTC^j*r*OyQpc>yG)JRM;YU?;D#4xTW0a7
zO_AHJv0;oIXq-pz8;@glOIBjLfBP2SxW~`|nDm?pPt1HYVs|Z7zUaRm?&Q{((y_()
zMd1F03`<;v=~&DxUnu1u#D<QZBWw)3fd=AxtH<Km4PY6qoo4y+ZBqWeMS=E7kI?W`
zU7ytrLq9d7%p<r83%aKCznwgJ(njJj8lI{fhCZw7r-qbx5a-DAJ1lS&E(Ww<P;;*3
z`@Tz>lX4wYh0b*5df_^&&dsgLK`n54sP9_Pj6d%L=g#WcnX$@Y8D^OuHAhAYSDG=!
zFl-^dP3p|uZ|>j_zmb<UxseYI&P}X#I49X*OU;uZx3*%@A~tE*LYOhdxWh>elWnKK
zY_=`4<tlRhuayD6{4D$6IGhByvrlU-3&t-z%5G{n=>=ZRq!eRZfN_?`Jm=gV1a2Xq
z!EhDT1puEB5qu8t)&s8=FhAqxJobX=IObuTh+D!om7h6j+QQ;Q{ICl+cV>n;bN28T
zlB(e4HwMks2~Aan5Q4G87!yJWRn-!!&B393K0h>+GR=l1Y?Bl5Q7RxYIs54-C*r2C
ztp;7^a884RiQTzGvM=ZjO3p|j1k+SiIF3+NjR_&-Op>n1=b?f1zg1SpHBPS`a3I<^
zlZ$#kvxLaP$nJ1W8aFU=;sa8uZZ@fJG-5aF<=lzxXhw6wWGMd}BQceMnSv<t)8VFb
zp2rw<m?*o|ny}6|9xa{*CbiD&F+4uTnf!^!3%2PBzf}yn19=>XjW`Q%qw?-cn9i7&
zj5Uc#FVJ9N5n7rJ?u$%UiZlq`5<_CN?}ws5A&9w}oF*H#>yn@rFcvh2fJR((-$lxI
zEXks#Lm4MtvUN>Wg=Omor>#^<%M$j8Ed&5}{DU&a3`MalTX1if=FZJ#=guWcB<IV;
z`73N;HO!Z|mQaOd+q$MImBUdR3G+Q&>!^1j^y4_^azjz9wF^hD9&_hr7o}Vdolu8w
z(0Y0UX&~4G!iBwn+scfmGex&lrPI<`e787N{B9~zppDaT_FHm5{r~%K(7HafZ2~SN
z3L!SI1Nz!g-ARD{7iJgXOp;{pNp&n#KojH8w7+3nz>qas=rK=WQ`5ULcDi?sJ`!g4
z2E~q8G<0Ntk&gCdh??BgoK9da{Ac^$(hS{!@i@F~*c%5;t$WQ9Vm(Q<pysDWsR~BY
z>h2%h!B%eImHdQCQ1crO=O^02Qe(PqUzoeS)s@jvl}zr~+|X;aeHsquE^N%w<9N=U
zID3sU>6otDwy@OP!jId%iPGt+VRM7H=@|R?zQVcl00Y-qi;lDw!esYx(l_GI@)CBy
z9yrv-rM{7^l4mN%Yr5|R%xzJdS-flXVst4rzrgi;K6KI$XJU?cEXQiFNt&6Rao;bb
z5hseriQ<`K(PK%Xq_YK<=X8v=jr%rE36lV{{(t>%6^$N%4jV(54?i+(BJeUU3z+Za
z+>AfsdO_B}@YG_1F+G#c#bT)-<}0h~rPzaq9(w3ukAJn>Zo6$8D?jzr>@80{HGAE*
zZQFKVMNj?u>#xkR*sqq^W#V7Kx~4@Z9ewoCN6+7T@4fdv{hfD8d+(j^gV2Xz5aRJ0
zO!J0#{QU^_{_H*?gBo_nQ3!!-^nmQwMG0xwS-94X4P{Eh-mjYIZpyC(wIJo^oMdha
zgB0_wK}J;9Eu?cxs)XIf>ghC5I$a;zE&mIPTGC)Kg;-28S1id4mR9+kfevV3{J<DA
ze?hTWuNR98=F|CC>|DvtbC{|SG1F9%iTJ?3tpZYUvJCgmSN;QV9SLgCQ}nm8OnE0(
zj@_ju)a})8wYA!F`Z!bBbH;!%Zal_Seh|Nke{7DLmsthtb8&*b!amBr%zn-O*XcUH
z$LsNT0i?(Q0RVt`V4$9yge)OXm3NQek%?hB&Wu&z7!76Y&FDzuO~%9uj4&2lJj5ih
z5I@l5yHg6qKq?1NA^*e>_K0OWC~%00;SePgtDYDQ8|ZaL$9m;{#>8PX$yg{TCo>7u
zl|QOe5)Ne#XiXl!r8&JW?4CT`o}7wgeqyQICG13U&55mExV3fAR7;-N8qf9Q*02}J
zZrDA3OLJPbC&G^GwIbQ<Y>-hHZrR+93Wv0&d+o3zgTOD8ys@h9m8&wpOW46^lPA2+
zU6-{&wNPHVOMTIbTo-QbHly}<drLbySrSNB!W&OTQMXqw7B_~SsM*S^FcEIuCG12<
za!;t-8m$bypR{)&;)UY?v@nU|u?0;`V;w?taWbaS#w4Z?K_ZU{EQQ1_2+=7mZ4FLD
z3q6F`iWUyS6k3q?{Nu=>2Z^l+(ZfKySV<p}L>m*hB#9ncP><e32OA&}Aw-BR*o-zJ
z6mSSym_`rnHl+p#;G=*NJdB|VA0Eo6QW+9`>q?w}NvcDl_V$;9FQAO2ZO2z2d2*wz
z=%R@TZH%LhEflWrWJvDCuEbq@3K1f7(L)_Y6tS_V_~wlkxMAH&hsJGVPe6r&eyt3d
S2VsmQO06}ypn7Xr@LvO5t4+KB

literal 0
HcmV?d00001

diff --git a/docs/index.html b/docs/index.html
index 349c9ee37..5ec697ff1 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -8,8 +8,8 @@
 <title>GGIR R Package • GGIR</title>
 <script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
-<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
+<link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
 <script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="GGIR R Package">
 <meta name="description" content="A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from GENEActiv &lt;https://activinsights.com/&gt;, binary (.gt3x) and .csv-export data from Actigraph &lt;https://theactigraph.com&gt; devices, and binary (.cwa) and .csv-export data from Axivity &lt;https://axivity.com&gt;. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.">
 <meta property="og:description" content="A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from GENEActiv &lt;https://activinsights.com/&gt;, binary (.gt3x) and .csv-export data from Actigraph &lt;https://theactigraph.com&gt; devices, and binary (.cwa) and .csv-export data from Axivity &lt;https://axivity.com&gt;. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.">
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/news/index.html b/docs/news/index.html
index cfcf1847a..c2d1fa585 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • GGIR</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • GGIR</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><script defer data-domain="pkgdown.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">GGIR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-7</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.1-8</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -76,6 +76,16 @@ <h1>Changelog</h1>
       <small>Source: <a href="https://github.com/wadpac/GGIR/blob/HEAD/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
     </div>
 
+    <div class="section level2">
+<h2 class="pkg-version" data-toc-text="3.1-8" id="changes-in-ggir-version-31-8">CHANGES IN GGIR VERSION 3.1-8<a class="anchor" aria-label="anchor" href="#changes-in-ggir-version-31-8"></a></h2>
+<ul><li><p>Part 4: Parameter sib_must_fully_overlap_with_TimeInBed added to control whether sib should overlap fully with the start and/or end of time in bed to be considered sleep (default TRUE), this is consistent with functionality in the past. <a href="https://github.com/wadpac/GGIR/issues/1223" class="external-link">#1223</a></p></li>
+<li><p>Part 5: Expand functionality for exploring possibility of nap detection, this includes the addition of new parameter possible_nap_gap.</p></li>
+<li><p>Visual report: Added new visualreport that is automatically generated when visualreport = TRUE and intended to eventually replace the problematic legacy report. Add parameter old_visualreport to turn off the old visualreport generation. <a href="https://github.com/wadpac/GGIR/issues/1173" class="external-link">#1173</a></p></li>
+<li><p>Part 4 + 5 + visualreport: If sleeplog has both reported sleeplog and time in bed process both. In part 4 we will still use one of the two but in the visualreport we display both. <a href="https://github.com/wadpac/GGIR/issues/967" class="external-link">#967</a></p></li>
+<li><p>Part 2: Add parameters nonwearFiltermaxHours and nonwearFilterWindow to give user the option to filter short lasting nighttime nonwear <a href="https://github.com/wadpac/GGIR/issues/1218" class="external-link">#1218</a>.</p></li>
+<li><p>Part 5 and 6: part6_threshold_combi when not specified now defaults to first threshold as specified for light, moderate and vigorous intensity respectively.</p></li>
+<li><p>Part 4: Handle unexpected combinations of sleep diary column names. For example, if only inbed and wakeup are available then treat these as the time in bed period, while if only sleeponset and outbed are available then these are treated as SPT window.</p></li>
+</ul></div>
     <div class="section level2">
 <h2 class="pkg-version" data-toc-text="3.1-7" id="changes-in-ggir-version-31-7">CHANGES IN GGIR VERSION 3.1-7<a class="anchor" aria-label="anchor" href="#changes-in-ggir-version-31-7"></a></h2>
 <ul><li><p>Part 3: Improved handling of DST, <a href="https://github.com/wadpac/GGIR/issues/1225" class="external-link">#1225</a></p></li>
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index ce3d4430e..d2812454b 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -30,7 +30,7 @@ articles:
   HouseHoldCoanalysis: HouseHoldCoanalysis.html
   readmyacccsv: readmyacccsv.html
   TutorialDaySegmentAnalyses: TutorialDaySegmentAnalyses.html
-last_built: 2024-11-25T17:13Z
+last_built: 2024-12-11T15:16Z
 urls:
   reference: https://wadpac.github.io/GGIR/reference
   article: https://wadpac.github.io/GGIR/articles
diff --git a/docs/search.json b/docs/search.json
index 99721929b..61de843ca 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -1 +1 @@
-[{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Contributing.html","id":"if-you-have-coding-skills","dir":"Articles","previous_headings":"","what":"If you have coding skills…","title":"Contributing","text":"welcome contributions development, maintenance, documentation GGIR. Please find GGIR’s contributing guidelines .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Contributing.html","id":"if-you-do-not-have-coding-skills-","dir":"Articles","previous_headings":"","what":"If you do not have coding skills….","title":"Contributing","text":"might coding skills contribute code base GGIR, still contribution important us. example: Apply funding support development maintenance GGIR. GGIR free software entirely depend users applying funding sponsor efforts. Funding used support development new functionalities, support improvement existing GGIR software code, support development better open-access training materials instruction videos. Report issues questions GGIR google group. Proofread GGIR documentation inform us miss something found difficult follow. Take independent initiatives complement efforts. example, Prof. Stuart Fairclough created series GGIR video tutorials, Wei Guo colleagues created R package mMARCH.AC post-process GGIR output described supporting journal article, maybe initiatives aware . Please communicate initiatives via GGIR google group /GGIR maintainer Vincent van Hees avoid duplicated work support needed.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_GetStarted.html","id":"run-ggir-for-the-first-time","dir":"Articles","previous_headings":"","what":"Run GGIR for the first time","title":"Get started: the GGIR R package","text":"First, need place file(s) folder computer. Make sure folder contains accelerometer files. Use following command run GGIR. datadir refers directory located accelerometer files. outputdir refers directory want store GGIR’s output. minutes, able see output directory gets populated files, reports, visualizations. command let GGIR run default settings (parameters), analysis tailored yet study design research question. documentation chapters find website guide .","code":"library(GGIR)  GGIR(datadir=\"C:/mystudy/mydata\", outputdir=\"D:/myresults\")"},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_GetStarted.html","id":"related-links","dir":"Articles","previous_headings":"","what":"Related links","title":"Get started: the GGIR R package","text":"Install R GGIR Get support Suitable file formats GGIR","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Installation.html","id":"install-r-and-rstudio","dir":"Articles","previous_headings":"","what":"Install R and RStudio","title":"Installation of the GGIR R Package","text":"Download install R Download install RStudio","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Installation.html","id":"install-ggir","dir":"Articles","previous_headings":"","what":"Install GGIR","title":"Installation of the GGIR R Package","text":"Install latest released version GGIR dependencies CRAN. can one command R command line: Alternatively, can install latest development version, might include additional bug fixes functionalities. get development version, please use:","code":"install.packages(\"GGIR\", dependencies = TRUE) library(GGIR) install.packages(\"remotes\", dependencies = TRUE) remotes::install_github(\"wadpac/GGIR\", dependencies = TRUE) library(GGIR)"},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Installation.html","id":"other-packages-you-may-need","dir":"Articles","previous_headings":"","what":"Other packages you may need","title":"Installation of the GGIR R Package","text":"Additionally, use-cases need install one multiple additional packages. Note packages installed default, please follow instructions : want derive Neishabouricounts (.neishabouricounts = TRUE), install actilifecounts package install.packages(\"actilifecounts\") want process Sensewear xlsx files (dataFormat = \"sensewear\"), install readxl package install.packages(\"readxl\")","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Installation.html","id":"installing-older-versions-of-a-package","dir":"Articles","previous_headings":"","what":"Installing older versions of a package","title":"Installation of the GGIR R Package","text":"aiming reproduce historical analysis critical install correct package version. explain GGIR release 2.4-0 work release. Note GGIR archived CRAN (major releases ) GitHub (releases). CRAN archive: see releases available CRAN check : https://cran.r-project.org/src/contrib/Archive/GGIR/. GitHub: see releases available CRAN check : https://github.com/wadpac/GGIR/releases.","code":"require(remotes) install_version(\"GGIR\", version = \"2.4-0\", repos = \"http://cran.us.r-project.org\") require(remotes) install_github(\"wadpac/GGIR\", ref = \"2.4-0\")"},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Support.html","id":"questions-and-problems","dir":"Articles","previous_headings":"","what":"Questions and problems","title":"How can I get service and support?","text":"general questions issues please join GGIR google group create new thread. report problem group always try create minimal example someone else can use reproduce investigate problem. However, familiar GitHub, also welcome report issue via GitHub issue tracker. Please use message template displayed. Note support places based voluntary efforts encourage try help users questions. Questions valuable help us understand challenges run occasionally help us identify bug code. make practical, please AVOID sending questions personal messages. Instead, post public platforms. approach allows others benefit discussions, minimises need us respond inquiries repeatedly, enhances likelihood others can answer questions ’re unavailable, acknowledges volunteer effort invested responding queries.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Support.html","id":"commercial-training-services","dir":"Articles","previous_headings":"","what":"Commercial training services","title":"How can I get service and support?","text":"Accelting provides online training options using GGIR, please find website. questions, please hesitate reach via: training@accelting.com.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Support.html","id":"dedicated-support","dir":"Articles","previous_headings":"","what":"Dedicated support","title":"How can I get service and support?","text":"need dedicated support use GGIR, want GGIR modified enhanced needs, please contact Vincent van Hees.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-analysis","dir":"Articles","previous_headings":"","what":"Sleep analysis","title":"10. Sleep Analysis","text":"Sleep analysis GGIR comes three stages: discrimination sustained inactivity wakefulness periods, discussed chapter 8. Identification time windows guide eventual sleep detection, discussed chapter 9. Assess overlap windows identified step 1 2, use define Sleep Period Time window (SPT) time bed window (TimeInBed) discussed chapter. previous two chapters learnt first two steps chapter discuss last step.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-period-time-spt-window-or-time-in-bed","dir":"Articles","previous_headings":"Sleep analysis","what":"Sleep Period Time (SPT) window or Time in Bed","title":"10. Sleep Analysis","text":"two scenarios: guider reflects approximation Sleep Period Time window, window sleep onset waking end night, SIB fully partially overlaps guider considered sleep. guider reflects Time Bed SIB fully overlaps guider considered sleep. scenario sleep latency sleep efficiency can estimated included GGIR part 4 report. cases start first SIB considered sleep onset end last SIB considered waking . guiders, “HorAngle”, parameter sleepwindowType automatically set “SPT” corresponding scenario 1, attempt made estimate sleep latency sleep efficiency. use guider sleeplog reflects Time Bed need set parameter sleepwindowType = \"TimeInBed\" tell GGIR follow scenario 2.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"cleaningcode","dir":"Articles","previous_headings":"Sleep analysis > Quality assurance","what":"Cleaningcode","title":"10. Sleep Analysis","text":"monitor possible problems sleep detection, output variable cleaningcode stored per night. Cleaningcode per night (noon-noon 6pm-6pm described ) can one following values: 0: sleep log available SPT identified. 1: sleep log available, alternative guider used (HDCZA default) SPT identified . 2: enough valid accelerometer data present night, parameter includenightcrit used define many valid hours need. 3: accelerometer data available. 4: nights analysed person. 5: SPT estimated based guider , either SIB found entire guider window complicates defining start end SPT, user specified ID number recording night number data_cleaning_file, , tell GGIR rely guider rely accelerometer data particular night. 6: sleep log available also alternative guider (HDCZA/HorAngle) failed specific night use average guider estimates nights recording guider night. HDCZA/HorAngle estimates also available entire recording use L5+/-12 estimate night.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"visual-inspection-of-classifications","dir":"Articles","previous_headings":"Sleep analysis > Quality assurance","what":"Visual inspection of classifications","title":"10. Sleep Analysis","text":"overlap sib guiders difficult review quantitative way, GGIR offers option export visualisation, parameter .visual = TRUE. manage number visualisations generated possible tell GGIR show outliers. , outliers defined difference guider edge final classification sleep onset wakeup time larger parameter criterror. set parameter outliers.= TRUE nights considered outlier displayed. functionality useful reviewing classifications large data sets use sleep logs. Visual inspection outliers way can example help identify data entry errors sleep logs.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"data-cleaning-file","dir":"Articles","previous_headings":"Sleep analysis > Quality assurance","what":"Data cleaning file","title":"10. Sleep Analysis","text":"data quality check may observe adjustments needed. Parameter data_cleaning_file (path csv file create) allows specify individuals nights part4 entirely rely guider. first column csv file column name ID column relyonguider_part4 specify night. night_part4 allows tell GGIR night(s) omitted part 4.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-metrics-available-in-ggir","dir":"Articles","previous_headings":"Sleep analysis","what":"Sleep metrics available in GGIR","title":"10. Sleep Analysis","text":"full overview sleep variables part 4 see: https://cran.r-project.org/web/packages/GGIR/vignettes/GGIR.html#42_Output_part_4 Among assume intuitive: sleep onset wakeup Sleep duration SPT, accumulate sleep time (sustained inactivity bouts classified sleep) WASO, time spent wakefulness sleep onset. However, possible concepts need clarifications:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-regularity-index-sri","dir":"Articles","previous_headings":"Sleep analysis > Sleep metrics available in GGIR","what":"Sleep Regularity Index (SRI)","title":"10. Sleep Analysis","text":"measure sleep regularity successive days, first described Phillips colleagues. SRI can value -100 100, 100 reflects perfect regularity (identical days), 0 reflects random pattern, -100 reflects perfect reversed regularity. SRI proposed calculated based seven, multitude seven, consecutive days data without missing values. avoid possible role imbalanced data final estimate. However, renders many datasets unsuitable analysis leads painful loss sample size statistical power.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-regularity-index-dealing-with-unbalanced-data","dir":"Articles","previous_headings":"Sleep analysis > Sleep metrics available in GGIR > Sleep Regularity Index (SRI)","what":"Sleep Regularity Index – Dealing with unbalanced data","title":"10. Sleep Analysis","text":"address , implemented SRI GGIR per day-pair. Per day-pair GGIR now stores SRI value fraction 30 second epoch-pairs days valid. fraction can found output variable name SriFractionValid. default, day-pairs excluded fraction 0.66. familiar GGIR threshold coupled 16-hour default value parameter “includenightcrit”. example, set parameter “includenightcrit = 12”, fraction threshold : 12 / 24 = 0.5. Note implemented SRI calculation accounts missing values denominator. result, SRI value interpretation remains unchanged. 30 second epoch setting automatically applied, even rest GGIR process works different epoch duration. day-pair level estimates stored variable SleepRegularityIndex GGIR part 4 .csv-report sleep. , GGIR also stores person-level aggregates : plain average valid days, average valid weekend days, average valid week days. GGIR input arguments needed invoke SRI calculation. calculation automatically performed updating GGIR processing data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-regularity-index-benefits-of-the-revised-approach","dir":"Articles","previous_headings":"Sleep analysis > Sleep metrics available in GGIR > Sleep Regularity Index (SRI)","what":"Sleep Regularity Index – Benefits of the revised approach","title":"10. Sleep Analysis","text":"enables user study day-pair day-pair variation SRI, role day-pair inclusion criteria. access SRI day-pair level makes possible account imbalanced datasets via multilevel regression analysis applied output GGIR, day-pair one model levels.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"nap-detection","dir":"Articles","previous_headings":"Sleep analysis > Sleep metrics available in GGIR > Sleep Regularity Index (SRI)","what":"Nap detection","title":"10. Sleep Analysis","text":"references daytime nap detection GGIR based experimental functionality requires ongoing investigation. functionality matured expand documentation accordingly.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"key-parameters","dir":"Articles","previous_headings":"Sleep analysis","what":"Key parameters","title":"10. Sleep Analysis","text":"parameters part params_sleep category discussed section “Sleep parameters” https://cran.r-project.org/web/packages/GGIR/vignettes/GGIRParameters.html .visual, outliers., criterror. excludefirstlast. def.noc.sleep includenightcrit data_cleaning_file","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"related-output","dir":"Articles","previous_headings":"Sleep analysis","what":"Related output","title":"10. Sleep Analysis","text":"GGIR stores two type output: cleaned full output. cleaned output invalid nights removed, full output nights included. specifically, night excluded ‘cleaned’ results based following criteria: study proposed sleep log individuals, nights excluded sleep log used guider. words: nights cleaningcode equal 0 variable sleep log used equals FALSE). study propose sleep log individuals, nights removed cleaningcode higher 1. aware using full output working wrist accelerometer data, missing entries sleep log asks Time Bed replaced HDCZA estimates SPT. Therefore, extra caution taken working full output. Notice part 4 focused sleep research. chapters discuss analysis done part 5. , choice guider may considered less important, estimate time bed considered useful. , may see night excluded cleaned results part 4 still appears cleaned results part 5.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"why-behavioural-classes","dir":"Articles","previous_headings":"","what":"Why behavioural classes?","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"Descriptive variables average acceleration per day recording discussed previous chapter powerful indicators physical activity. Extensive evidence exists association physical activity related energy expenditure measured indirect calorimetry. Similarly, scientific value MX metrics intensity gradient discussed chapter 7 shown several studies (example: Rowlands, 2019a; Rowlands 2019b). However, physical activity research community historically expressed strong interest measures physical activity can expressed time per behavioural class per day. chapter discuss GGIR facilitates .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"construct-definition","dir":"Articles","previous_headings":"","what":"Construct definition","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"popular approach define behavioural classes physical activity research distinguish called intensity levels. , common distinguish sedentary behaviour (SB), light physical activity (LIPA), moderate, vigorous physical activity. latter two categories often combined moderate vigorous physical activity (MVPA). Inside GGIR refer sedentary behaviour inactivity emphasize methods quantify mainly lack activity rather sitting reclying posture. However, intensity levels behavioural classes lack feasible operational construct definition caused methodological discrepancies decades. elaborate reflection can found blog post. situation forced us pragmatic use operational construct definition intensity levels feasible accelerometer data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"classification-based-on-cut-points","dir":"Articles","previous_headings":"","what":"Classification based on cut-points","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"common classify intensity levels accelerometer data evaluating whether acceleration , , certain acceleration level(s). acceleration magnitude(s) use threshold(s), also known cut-points. use thresholds (cut-points) intended crude indicator time spent intensity levels sufficient rank individuals amount time spent behaviours. cut-point approach indisputably powerful method far drive physical activity research. See published cut-points use guidance choosing cut-points dataset. discussed detail , acceleration (intensity) level classification done GGIR parts 2 5.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"epoch-length","dir":"Articles","previous_headings":"","what":"Epoch length","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"Although accelerometers collect data much higher sampling frequency, work aggregated values (e.g. 1 5 second epochs) following reasons: Accelerometers often used describe patterns metabolic energy expenditure. Metabolic energy expenditure typically defined per breath per minute (indirect calorimetry), per day (room calorimeter), per multiple days (doubly labelled water method). order evaluate methods reference standards, need work similar time resolution. Collapsing data epoch summary measures helps standardise output across data collected different sampling frequencies studies. little evidence raw data accurate representation body acceleration. scientific evidence validity accelerometer data far based epoch aggregates. Short epoch lengths, 1 5 seconds, sensitive sporadic behaviours often combined bout detection identify MVPA sustained behaviour. Longer epochs, 30 60 seconds, problem therefore easier use without bout detection. epoch length GGIR default 5 seconds, can set first value vector specified parameter windowsizes. Although discuss epoch length context MVPA, please note epoch length influences many outcomes GGIR sleep analysis. GGIR part 5 offers option aggregate time series 1 minute epoch length order physical activity research 1 minute resolution leaving sleep detection relies shorter epoch length untouched (see parameter part5_agg2_60seconds=TRUE).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"bout-detection","dir":"Articles","previous_headings":"","what":"Bout detection","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"Behavioural bouts used frequently defined sustained time spent ina behavioural class adhering specific temporal criteria. GGIR facilitates processing data without accounting bouts. motivation look bouts can one following: idea behaviour certain minimum duration contributes certain physiological benefits. make classification behaviour consistent self-report data, sensitive duration specific duration. aid studying fragmentation behaviour. account sporadic nature behaviour working short epochs. define bout need answer series questions: cut-point ? epoch length ? minimum duration bout ? allow gaps bout breaks behaviour interest? yes 4, percentage bout duration, absolute minimum seconds, combination ? yes 4, bout gaps counted towards time spent bouts? first last epoch need meet threshold criteria? order bouts extracted? example, short MVPA bout part longer Inactivity bout two prevails? many bout categories ? GGIR facilitates following freedom bout detection: User decides : Acceleration thresholds light, moderate, vigorous intensity mvpathreshold part 2, threshold.lig, threshold.mod, threshold.vig part 5. Fraction time cut-point criteria need met (light, inactive, MVPA) boutcriter part 2 boutcriter.lig, boutcriter.mod, boutcriter.vig part 5. Bout duration range. part 2 mvpadur part 5 boutdur.lig, boutdur.mod, boutdur.mvpa. functionality slightly different part 2 part 5 discussed . Epoch length windowsizes part5_agg2_60second. User decide : Maximum bout gap 1 minute, fraction time cut-point criteria need met less 100% First last epoch need meet cut-point criteria. Number intensity levels, always: inactive, light MVPA. Order bouts calculated (1 MVPA; 2 inactive; 3 Light)","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"controlling-the-time-window-of-analysis","dir":"Articles","previous_headings":"","what":"Controlling the time window of analysis","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"discussed chapter 7, possible tell GGIR part 2 part 5 extract variables per segment day. parameter qwindow can find detailed discussion Annex Day segment analysis.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"key-parameters","dir":"Articles","previous_headings":"","what":"Key parameters","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"parameters needed MVPA estimates GGIR part 2 different parameters used estimating MVPA, LIPA Inactivity part 5.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"physical-activity-cut-point-parameter-ggir-part-2","dir":"Articles","previous_headings":"Key parameters","what":"Physical activity cut-point parameter GGIR part 2","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"GGIR part 2, MVPA estimated since sleep classified point. threshold(s) MVPA used GGIR part 2 set parameter mvpathreshold. can specify single value vector multiple values, time spent MVPA derived . GGIR part 2 always provides six distinct approaches MVPA calculation controlled parameters mvpathreshold, boutcriter, mvpadur, first element vector windowsizes. , MVPA provides time spent MVPA based : 5 second, 1 minute 5 minute epochs bouts 5 second epochs 3 different minimum bout duration specified parameter mvpadur.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"physical-activity-cut-point-parameter-ggir-part-5","dir":"Articles","previous_headings":"Key parameters","what":"Physical activity cut-point parameter GGIR part 5","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"bout durations used separate estimates used complimentary case part 5. example, specifying boutdur.mod = c(5, 10) part 5 result estimate time spent bouts lasting 5 till 10 minutes bouts lasting 10 minutes longer. example, simple scenario consider bouts minimum length 10 minutes, also possible subdivide bouts lasting [1, 5) [5, 10) [10, ∞) minutes. parameters related cut-points bout detection listed “Physical activity parameters”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"GGIR part 2 csv reports find: Time spent MVPA GGIR part 5 csv reports find: Time spent MVPA Time spent LIPA Time spent inactivity (abbreviated ) chapter 7 discussed structure part 2 output. next chapter (chapter 12) provide detailed discussion part 5 output. overview output variables see GGIR output annex.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"creating-a-multi-variate-time-series-object","dir":"Articles","previous_headings":"","what":"Creating a multi-variate time series object","title":"12. Time-use Analysis","text":"first step need map happens recording. , GGIR code combines information derived parts 2, 3 4 multi-variate single time series object, including: Timestamp log data classified invalid. Average acceleration derived GGIR part 2, invalid epochs imputed acceleration metric used specified parameter acc.metric. Sleep classifications GGIR part 3 4. Behavioural class code, GGIR part 5 derives behavioural classes based magnitude acceleration sleep classification. exact number behavioural classes codified depends parameters set, constructed codified : sleep period time window: - Sleep - Wakefulness low acceleration - Wakefulness moderate acceleration - Wakefulness vigorous acceleration waking hours day: - Inactivity unbouted - Inactivity bouted, subdivided one multiple bout durations - Total inactivity time - LIPA unbouted - LIPA bouted, subdivided one multiple bout durations - Total LIPA time - Moderate activity unbouted - Vigorous activity unbouted - MVPA bouted, subdivided one multiple bout durations - Total MVPA time possible export time series generated, discussed towards end chapter.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"defining-the-time-windows","dir":"Articles","previous_headings":"","what":"Defining the time windows","title":"12. Time-use Analysis","text":"GGIR part 2 defined days midnight midnight, GGIR part 4 typically defined nights noon noon. access sleep timing, GGIR part 5 offers additional definitions day. However, given definitions day becoming different calendar day, refer windows data. GGIR part 5 facilitates following time window definitions, can selected parameter timewindow: “WW” “OO”, onset waking times guided estimates part 4, missing, part 5 attempt retrieve estimate guider method. Note parameter timewindow can consist one options beforementioned combination , example, default value timewindow = c(\"MM\", \"WW\"). recordings end night early morning sleep estimates night likely affected. example, recording ends 10am sure participant sleep 10am, recording ends 2am sure sleep onset time reliably estimated. handle ignore final window data, set parameter require_complete_lastnight_part5 = TRUE (default).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"defining-segments-within-the-mm-window","dir":"Articles","previous_headings":"Defining the time windows","what":"Defining segments within the MM window","title":"12. Time-use Analysis","text":"default GGIR segments window waking hours day (referred day) sleep period time window (referred spt). Additionally, timewindow set “MM”, day segment specific analysis performed based segments defined parameters qwindow . Please see annex day segmentation information.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"metrics-calculated-per-window-and-per-segment","dir":"Articles","previous_headings":"","what":"Metrics calculated per window and per segment","title":"12. Time-use Analysis","text":"GGIR provides following metrics time windows calculated, .e., full day, awake time, sleep period time, well (optionally) day segments might provided via parameter qwindow. Duration: Time spent minute per behavioural class. Acceleration: Average acceleration per behavioural class Number blocks: Number blocks per behavioural class, distinction made bouted unbouted, except total number blocks per intensity levels (Nblocks_day_total_IN, Nblocks_day_total_LIPA, Nblocks_day_total_MOD, Nblocks_day_total_VIG). Number bouts: Number bouts per behavioural class. Fragmentation: fragmentation metrics discussed previous chapter. distinction made bouted unbouted behavour. Note fragmentation classes sometimes group multiple intensity levels, e.g. fragmentation physical activity reflects fragmentation LIPA MVPA combined relative Inactive time.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"complementary-variables","dir":"Articles","previous_headings":"Metrics calculated per window and per segment","what":"Complementary variables","title":"12. Time-use Analysis","text":"primary interest sleep research recommend work GGIR part 4 reports. However, want look interactions behaviour sleep, GGIR part 5 reports include sleep estimates used part 5 analysis. Note part 5 criteria sleep estimate inclusion different part 4. part 5 happy estimate, even accelerometer worn night. Additionally, part 5 also come duration awake time, sleep period time, full-day windows, percentage non-wear (read invalid data, typically non-wear).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"seemingly-overlapping-variables-between-ggir-part-2-and-part-5-output","dir":"Articles","previous_headings":"Metrics calculated per window and per segment","what":"Seemingly overlapping variables between GGIR part 2 and part 5 output","title":"12. Time-use Analysis","text":"might noticed, variables reported GGIR part 2 part 5, average acceleration bouts moderate--vigorous physical activity. However, please note values necessarily identical following reasons: Times MVPA can happen . part 2 MVPA can happen time day, never overlap midnight. part 5 MVPA happens waking hours single day, can overlap midnight midnight part sleep period time window. use dayborder parameter value equal zero: midnight scenario actually midnight time set parameter dayborder, e.g. 2 equates 2am. . Difference epoch length. GGIR part 5 comes possibility aggregate epochs 60 seconds parameter part5_agg2_60seconds. parameter set TRUE, full time series aggregated 60 seconds, contrast default 5 second epoch length used part 2. Different time window definition. GGIR part 2 always uses “MM” definition days. GGIR part 5, option define days different ways (see ).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"exporting-time-series","dir":"Articles","previous_headings":"Metrics calculated per window and per segment","what":"Exporting time series","title":"12. Time-use Analysis","text":"export time series set parameter save_ms5rawlevels = TRUE. GGIR part 5 store subfolder meta/ms5.outraw subfolder named unique MVPA threshold combination used. behavioral classes included numbers, legend classes numbers stored separate legend file meta/ms5.outraw folder named “behavioralcodes2020-04-26.csv” date correspond date ran GGIR. Note time series exported GGIR part 5 includes acceleration metric specified parameter acc.metric (default = “ENMO”), angle metrics selected, angle metrics. want explore multiple acceleration metric values, please see documentation parameter epochvalues2csv discussed chapter 3. Additional input parameters may interest: save_ms5raw_format character string specify data stored: either “csv” (default) “RData”. used save_ms5rawlevels=TRUE. save_ms5raw_without_invalid Boolean indicate whether remove invalid days time series output files. used save_ms5rawlevels=TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"key-arguments","dir":"Articles","previous_headings":"","what":"Key arguments","title":"12. Time-use Analysis","text":"threshold.lig, threshold.mod, threshold.vig boudur., boutdur.lig, boutdur.mvpa boutcriter., boutcriter.lig, boutcriter.mvpa frag.metrics timewindow part5_agg2_60seconds save_ms5rawlevels save_ms5raw_format save_ms5raw_without_invalid","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"12. Time-use Analysis","text":"https://cran.r-project.org/web/packages/GGIR/vignettes/GGIR.html#43_Output_part_5 find detailed discussion part 5 output. summary, part 5 produces following files. - Day level summary - Person level summary - Day level summary behaviour per segment day - analysis - Person level summary behaviour per segment day - Variable dictionary (see ) - Time series - Pdf reports vsiualisation","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"variables-dictionary","dir":"Articles","previous_headings":"Related output","what":"Variables dictionary","title":"12. Time-use Analysis","text":"Considering different time window segmentation options, number metrics calculated, different aggregation strategies (.e., plain averages, weighted averages, -optionally- weekday weekend-day averages), number variables exported Part 5 can high. help understanding interpretation variables, GGIR Part5 exports variable dictionary daysummary personsummary csv reports. dictionaries include list variable names calculated analyses together definition variables.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"mxlx","dir":"Articles","previous_headings":"","what":"MXLX","title":"13. Circadian Rhythm Analysis","text":"MXLX looks continuous least (LX) (MX) active X hour window day, X defined parameter winhr. LX MX, GGIR calculates average acceleration, start time, argument iglevels specified also intensity gradient. parameter winhr vector MX LX derived value vector. Within GGIR part 2 MXLX calculated per calendar day , argument qwindow specified, per segment day. Within GGIR part 5 MXLX calculated per window. used combination GENEActiv Axivity accelerometer brands, LUX estimates per LX MX also included GGIR part 5 csv reports. MX metric described confused MX metrics proposed Rowlands et al. looks accumulated active time may always continuous time. MX metrics Rowlands et al. discussed .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"extended-cosinor-analysis","dir":"Articles","previous_headings":"","what":"(Extended) Cosinor analysis","title":"13. Circadian Rhythm Analysis","text":"Cosinor analysis quantifies circadian 24 hour cycle. Cosinor analysis refers fitting cosine function log transformed time series, extended cosinor analysis refers fitting non-linear transformation traditional cosinor curve Marler et al. Statist. Med. 2006 (doi: 10.1002/sim.2466). Corinos analyssis run default, tell GGIR perform analyse specify parameter cosinor = TRUE. implementation follows: acceleration metric specified parameter acc.metric used. Acceleration metric values averaged per minute expressed mg input g, log transformed log(acceleration + 1). Invalid data points caused non-wear set missing (NA) want imputation used elsewhere GGIR influence Cosinor analysis. imputation technique generally come assumptions circadian rhythm. part 2 GGIR uses valid data recording part 6 use valid data interval defined parameter part6Window, e.g. first wake-time till last wake-time. GGIR looks first valid data point time series selects maximum integer number recording days following data point. Day Saving Time occurs time series duplicated timestamps clock moves backward ignored missing timestamps clock moves forward inserted missing values. Cosinor models fitted using functions ActCosinor ActExtendCosinor R package ActCR. , ActExtendCosinor uses anti-logistic function transformation. time offset start time series used following midnight used reverse offset ActCR results, ensure acrophase acrotime can interpreted relative midnight. Time series corresponding fitted models stored inside part 2 milestone data stored output subfolder meta/ms2.facilitate visual inspection. moment used GGIR visualisation, may want look try plot . stored object SUM$cosinor_ts.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"intradaily-variability-iv-and-interdaily-stability-is","dir":"Articles","previous_headings":"","what":"Intradaily Variability (IV) and Interdaily Stability (IS)","title":"13. Circadian Rhythm Analysis","text":"IV first proposed Witting W et al. 1990 van Someren EJ, et al. 1996. measures constant routine activity several days ranges 0 1, values close 1 indicate constant routine. IV measures variability activity hour hour throughout days. ranges 0 +∞\\infty, value close 2 indicates fragmented rhythm, >2 indicates ultradian rhythm (uncommon). GGIR implementation IV since GGIR release 3.1-6 described Danilevicz et al. 2024. implementation replaces experimental implementation IV present GGIR since release 1.5-1. experimental implementation sure go raw acceleration signal indicator active aspect documented original publications. Similarly, sure deal missing data. However, issues resolved release 3.1-6: active now defined mean acceleration metric value light physical activity threshold specified parameter threshold.lig. Missing values left missing imputed, algorithm now accounts . new implementation documented Danilevicz et al. 2024 compatible older experimental implementation. Parameters IVIS.activity.metric, IVIS_windowsize_minutes, IVIS_epochsize_seconds, IVIS_acc_threshold used longer needed deprecated. Cosinor analysis compatible IV sometimes used measure behavioural robustness conducting Cosinor analysis. However, work combination two outcomes seems important calculated time series. Therefore, cosinor = TRUE, IV calculated twice: part default IV analysis discussed , part Cosinor analysis using log transformed time series. Cosinor-compatible IV estimates stored output variables cosinorIV cosinorIS.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"phi","dir":"Articles","previous_headings":"","what":"phi","title":"13. Circadian Rhythm Analysis","text":"Phi indicates correlated multi-day acceleration time series hour shift, also known first-order auto-correlation first-order autoregressive model AR(1). higher phi value indicates higher autocorrelation, phi close zero even negative indicates fragmented behavior. detailed discussion phi see Dickey Fuller (1979) Danilevicz et al. 2024. Phi calculated default GGIR part 2 part 6 parameter part6CR set TRUE.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"self-similarity-paramerter-ssp","dir":"Articles","previous_headings":"Detrended fluctionation analysis (DFA)","what":"Self-similarity paramerter (SSP)","title":"13. Circadian Rhythm Analysis","text":"self-similarity paramter (SSP) also known scaling exponent alpha. SSP real number zero two. Values range (0, 1) indicate stationary motion behaviour. Values int range (1, 2 indicate nonstationary motion behaviour. details see Mesquita et al 2020 Danilevicz et al. 2024.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"activity-balance-index-abi","dir":"Articles","previous_headings":"Detrended fluctionation analysis (DFA)","what":"Activity Balance Index (ABI)","title":"13. Circadian Rhythm Analysis","text":"Activity Balance Index (ABI) introduced Danilevicz et al. 2024 transformation SSP. ABI measures activity observed period balanced, higher values reflect balanced pattern activity. ABI real number zero one calculated acceleration metric time series directly without need cut-points.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"13. Circadian Rhythm Analysis","text":"MXLX derived per 24 hours (part 2) available per day part2_daysummary.csv, summarised per recording part2_summary.csv. MXLX derived per window (part6) stored recording summary part6_summary.csv. circadian rhythm variables derived recording level. IV, , phi, cosinor analysis variables stored part2_summary.csv part6_summary.csv, SSP ABI stored part6_summary.csv. detailed variable dictionary see annex GGIR output.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter14_BehaviouralFragmentation.html","id":"defining-fragments","dir":"Articles","previous_headings":"","what":"Defining fragments","title":"14. Behavioural fragmentation","text":"GGIR, fragment daytime defined sequence epochs belong one four categories: Inactivity Light Physical Activity (LIPA) Moderate Vigorous Physical Acitivty (MVPA) Physical activity (can either LIPA MVPA) categories represents combination bouted unbouted time respective categories. Inactivity physical activity add full day (outside SPT), well inactivity, LIPA MVPA. fragment SPT defined sequence epochs belong one four categories: Estimated sleep Estimated wakefulness Inactivity Physical activity (can either LIPA MVPA) parameter frag.metrics = \"\" can instruct GGIR part 5 derive behavioural fragmentation metrics. may want consider combining parameter part5_agg2_60seconds=TRUE aggregate time series 1 minute resolution common behavioural fragmentation literature. GGIR part 6 performs fragmentation analysis part6CR set TRUE. uses time series output generated part 5 discussed previous chapter. GGIR derives fragmentation metrics two ways: part 5 fragmentation quantified per waking hours day reported per day recording average daily estimates. part 6 fragmentation quantified based data recording within window specifed parameter part6Window. Calculation per day allows us explore possibly account behavioural differences days week. However, day level estimate considered less robust recording level estimates generated part 6. internal function g.fragmentation fragmentation metric calculation used part 5 6 ensuring calculation otherwise consistent.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter14_BehaviouralFragmentation.html","id":"fragmentation-metrics","dir":"Articles","previous_headings":"","what":"Fragmentation metrics","title":"14. Behavioural fragmentation","text":"Note fragmentation metrics discussed fragmentation metrics TP NFrag calculated SPT fragments. Coefficient Variance (CoV) calculated according Blikman et al. 2014, entails dividing standard deviation mean lognormal transformed fragment length (minutes). Transition probability (TP) Inactivity () Physical activity (IN2PA), Physical activity inactivity (PA2IN), LIPA MVPA calculated according Danilevicz et al. 2024. Gini index calculated function Gini ineq R package, ineq argument corr set TRUE. Power law exponent metrics: Alpha, x0.5, W0.5 calculated according Chastin et al. 2010. Note compared R package ActFrag described Junrui Di et al. 2017 use theoretical minimum fragment duration instead observed minimum fragment duration. Number fragment per minutes (NFragPM) calculated identical metric fragmentation index Chastin et al. 2012, renamed specific reflection calculation. term fragmentation index appears generic given fragmentation metrics inform us fragmentation. Please note close metrics transition probability, total number divided total sum duration equals 1 divided average duration. Although exact math slightly different.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter14_BehaviouralFragmentation.html","id":"conditions-for-calculation","dir":"Articles","previous_headings":"","what":"Conditions for calculation","title":"14. Behavioural fragmentation","text":"Metrics Gini CoV calculated least 10 fragments (e.g. 5 inactive 5 active). condition met metric value set missing. Metrics related power law exponent alpha also calculated least 10 fragments, additional condition standard deviation fragment duration zero. conditions met metric value set missing. metrics related binary fragmentation (mean_dur_PA mean_dur_IN), calculated least 2 fragments (1 inactive, 1 active). condition met value set zero. Metrics related TP calculated : least 1 inactivity fragment (1 LIPA 1 MVPA fragment). condition met TP metric value set zero. keep overview recording days met criteria non-zero standard deviation least ten fragments, GGIR part 5 stores variable Nvaliddays_AL10F person level (.e., number valid days least 10 fragments), SD_dur (.e., standard deviation fragment durations) day level well aggregated per person.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter14_BehaviouralFragmentation.html","id":"key-parameters","dir":"Articles","previous_headings":"","what":"Key parameters","title":"14. Behavioural fragmentation","text":"parameters related cut-points bout detection mainly parameters listed “Physical activity parameters”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter14_BehaviouralFragmentation.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"14. Behavioural fragmentation","text":"GGIR part 5 csv reports find: Fragmentation metrics day level per waking hours day GGIR part 6 csv report find: Fragmentation metrics overview output variables see GGIR output annex.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"a-brief-overview","dir":"Articles","previous_headings":"","what":"A brief overview","title":"1. What is GGIR","text":"GGIR R-package primarily designed process multi-day raw accelerometer data physical activity, sleep, circadian rhythm research. term raw refers data expressed gravitational units (1 g equal gravitational acceleration, average 9.81 m/s2) opposed previous generation accelerometers stored data accelerometer brand-specific units epoch level, typically 5, 30, 60 seconds length. Despite focus raw data, GGIR also offers functionality process previous-generation accelerometer data. signal processing raw data includes many steps explained pages. example, automatic calibration gravity, detection abnormally high values, imputation raw-level time gaps (specific sensor brands), calculation orientation angle average magnitude acceleration based variety metrics. Next, signal processing raw previous-generation data continue detection non-wear epoch-level imputation. Finally, GGIR uses information describe data data quality data summary metrics interpreted estimates physical activity, inactivity, sleep, circadian rhythm. time resolutions GGIR output : Per recording, typically matches one participant ID. Calendar day option specify day border timing midnight default. Night period time participant likely main daily sleep period, initial focus time window defined noon noon next day, unless person wakes noon next day, case focus shifts 6pm 6pm next day. Day segment, can defined via code indicate timing segments within day standardised recordings days dataset via diary file, segment definition allowed vary per recording day. Window defined Waking-main sleep period Waking-next main sleep period. Window defined Sleep onset start main sleep period sleep onset start next main sleep period. Epoch-level time series, epoch length set user example 5 seconds. (Optionally, default) Per sequence recordings matching participant IDs. example, person tracked first one accelerometer accelerometer replaced different accelerometers. details use , see documentation GGIR parameter maxRecordingInterval documentation use GGIR parameters explained .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"key-strengths","dir":"Articles","previous_headings":"","what":"Key strengths","title":"1. What is GGIR","text":"GGIR permissive open-source software license maximise re-use collaboration. GGIR applicable data multiple sensor brands file formats. GGIR facilitates sleep, physical activity, circadian rhythm research. GGIR extensive quantitative output designed use quantitative research. GGIR designed computationally efficient option store re-use intermediate milestone data option process multiple files parallel computer discussed Chapter 2. GGIR designed accessible new users without experience R programming. GGIR requires one function call comes elaborate open-access documentation. Additionally, paid training courses offered maximise opportunity users learn GGIR us learn users. GGIR dozen code contributors. GGIR available CRAN archive, meaning meets CRAN standards release gone series automated checks. public email list (google group) users reach maintainers. hundreds publications used GGIR, powerful way identify problems improve code provided us wide range reference values.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"history","dir":"Articles","previous_headings":"","what":"History","title":"1. What is GGIR","text":"elaborate reflection GGIR’s first 10 years existence can found blog post. short, GGIR evolved series R scripts used research around 2010-2012 first release 2013. key factor growth GGIR adoption research community willingness variety researchers invest GGIR either terms time investment financially. GGIR without efforts.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"flexible-and-accessible","dir":"Articles","previous_headings":"Philosophy behind GGIR","what":"Flexible and accessible","title":"1. What is GGIR","text":"research field highly heterogeneous : choice sensor brand, data format, study protocols used, research questions tries answer. time many within field lack time skills write custom data processing software. GGIR aims flexible handle different scenarios time remain accessible lack time skills write software. , hope GGIR use without financial resources commercial software, although like stress charity depend paid unpaid contributions community.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"algorithm-design","dir":"Articles","previous_headings":"Philosophy behind GGIR","what":"Algorithm design","title":"1. What is GGIR","text":"philosophy behind algorithms implemented GGIR biomechanical explainable (heuristic knowledge driven) approaches measurement science preferable purely data-driven approaches. Please note specification scientific context rather measurement general, e.g. consumer wearables. knowledge driven approach unrealistic can consider data-driven approach. idea knowledge driven approach order advance insight, essential understanding causal relation phenomena observed (e.g. acceleration one body part), way (acceleration) sensor works, data produced, interpret data. example, know body acceleration relates energy expenditure physics human physiology. abundance scientific publications reported positive correlation accelerometer data energy expenditure served confirm prior knowledge. contrast, data-driven methods focus optimal correlation sensor data reference labels values, much less concerned causal associations focus knowledge driven approaches, defined . Identical correlation necessarily equal causation health research, process measurement can also confounded. examples: may see differences body acceleration patterns correlate different activity types different levels energy expenditure, mean actually measure activity types energy expenditure levels. Ignoring distinction can easily lead overestimating value accelerometer measuring constructs (activity type, etc) underestimate value accelerometer capturing acceleration useful measure behaviour, appropriately used interpreted. second problem data-driven methods heavily depend availability reliable criterion methods. argue reliable criterion methods exist physical behaviour measurement: Indirect calorimetry indicators energy metabolism can derived unable account activity type specific role body weight energy metabolism. makes impossible make standardised comparison energy cost different activity types across individuals differ body weight. See also reflections blog post. Polysomnography (PSG) standard sleep research. PSG offers physiological definition sleep impossible capture directly movement sensor. Therefore, forced simplify definition ‘sleep’ towards definition can captured movement sensor. result, act evaluating accelerometer ability classify sleep PSG becomes somewhat meaningless already know measuring construct PSG. Activity types ambiguous define given high number ways can performed. introduces fundamental level uncertainty robustness models outside datasets context developed . result, essential put strong emphasis algorithms descriptive value regardless whether offer high correlation supposed criterion methods.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"permissive-open-source-license","dir":"Articles","previous_headings":"Philosophy behind GGIR","what":"Permissive open-source license","title":"1. What is GGIR","text":"may sound obvious research software open-source, fields physical activity sleep research, far accepted approach. GGIR one research tools field permissive license aimed maximise potential re-use collaboration.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"documentation-structure-and-origin","dir":"Articles","previous_headings":"","what":"Documentation structure and origin","title":"1. What is GGIR","text":"structured chapters line GGIR training course organising recent years. documentation existed collection ad-hoc written paragraphs, lacked clear overarching structure narrative. result, difficult use documentation training course. , also wanted provide good level documentation follow course want refresh understanding GGIR. documentation mainly written narrative style tried explain theory practice GGIR functionalities. mentioned , GGIR offers vast amount functionality. arrive expectation find quick instruction run use GGIR research disappoint . Learning use GGIR requires time investment. Everything need type R script highlighted like . documentation intended academic review: cite publications clarify origin algorithms discuss part GGIR. Finally, first version documentation sponsored Accelting commitment remain available free open-access documentation. However, open documentation much easier maintain community: grateful help improve documentation either giving feedback (e.g. via v.vanhees accelting dot com), pull requests (know ), financially. example, great funding creating high quality complementary info graphics videos.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"the-ggir-function","dir":"Articles","previous_headings":"","what":"The GGIR function","title":"2. The GGIR pipeline","text":"brief introduction unfamiliar R software, R packages constructed sub-components, named functions. single function typically allows specific task. example, may sum function sums numbers provide . function can one multiple parameters control functions behaviour. R parameters call function arguments. example, sum argument na.rm control needs done missing values. GGIR refer arguments parameters. GGIR comes large number functions parameters together form processing pipeline. ease interacting GGIR, one central function act interface functionality. function also named GGIR. need learn work function GGIR, important understand background function interacts functions GGIR. , important understand GGIR package structured two complementary ways: Parts: Reflecting computational components running GGIR. GGIR 6 parts numbered 1 6 reflect order executed. reason GGIR split parts avoids re-run preceding parts want make small change downstream parts. parts together form pipeline. Parameter themes: Reflecting themes around user can control GGIR, e.g. controlling sleep detected controlling output stored stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"parts-of-the-pipeline","dir":"Articles","previous_headings":"The GGIR function","what":"Parts of the pipeline","title":"2. The GGIR pipeline","text":"GGIR, computational structure six parts applied sequentially data: Part 1: Loads data, works data quality, stores derived summary measures per time interval, also known signal features metrics, needed following parts. Part 2: Basic data quality assessment based extract metrics description data per day, per file, optionally per day segment. Part 3: Estimation rest periods, needed input Part 4. Part 4: Labels rest periods derived Part 3 sleep per night per file. Part 5: Compiles time series classification sleep physical behaviour categories re-using information derived part 2, 3, 4. includes detection behavioural bouts, time segments behaviour sustained duration specified user. Next, Part 5 generates descriptive summary time spent average acceleration per behavioural category, also behavioural fragmentation. Part 6: Facilitates analyses span full recording household co-analysis circadian rhythm analysis. specific order content parts evolved time, Part 1 2 created 2011-2013, Part 3 4 created 2013-2015, Part 5 created 2017-2020, Part 6 created 2023-2024. , parts also reflect historical expansion GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"milestone-data","dir":"Articles","previous_headings":"The GGIR function > Parts of the pipeline","what":"Milestone data","title":"2. The GGIR pipeline","text":"part, run, stores output R-data file .RData extension, refer milestone data. user, unlikely ever need interact directly milestone data files relevant output stored csv pdf files output folder results. milestone files read next GGIR part. advantage design offers internal modularity. example, can run part 1 now continue part 2 another time without repeat part 1 . , design eases re-processing also helpful us developing testing GGIR code. milestone data files stored sub-folders output folder show . Note output folder named output_mystudy example exact name may differ . part 1: output_mystudy/meta/basic. part 2: output_mystudy/meta/ms2.. part 3: output_mystudy/meta/ms3.. part 4: output_mystudy/meta/ms4.. part 5: output_mystudy/meta/ms5.. part 6: output_mystudy/meta/ms6.. milestone files potentially useful following reasons: copying milestone files new computer, may continue analyses without access original data files. can example helpful process subsets study different computers, pooling resulting milestone data allows finalise analysis single computer. Remember preserve folder structure. run problem, milestone files may allow share problem reproducible example problem without share original large data file.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"parameter-themes","dir":"Articles","previous_headings":"The GGIR function","what":"Parameter themes","title":"2. The GGIR pipeline","text":"parameters GGIR package functions can used parameter GGIR function. parameters internally grouped thematically, independently six parts used : params_rawdata: parameters related handling raw data resampling calibrating. params_metrics: parameters related aggregating raw data epoch level summary measures (metrics). params_sleep: parameters related sleep detection. params_phyact: parameters related physical ()activity. params_247: parameters related 24/7 behaviours fall typical sleep physical ()activity research category measures circadian rhythm 24 hour data description techniques. params_output: parameters relating whether output stored. params_general: general parameters covered categories GGIR user need remember theme parameter belongs . However, may notice documentation structure parameter theme ease navigating parameters. couple ways inspect parameters parameter category default values:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"ggir-function-documentation","dir":"Articles","previous_headings":"The GGIR function > Parameter themes","what":"GGIR function documentation:","title":"2. The GGIR pipeline","text":"","code":"?GGIR"},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"parameters-vignette","dir":"Articles","previous_headings":"The GGIR function > Parameter themes","what":"Parameters vignette:","title":"2. The GGIR pipeline","text":"Documentation meaning parameter, default value, expected value(s) can found vignette: GGIR configuration parameters.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"from-r-command-line","dir":"Articles","previous_headings":"The GGIR function > Parameter themes","what":"From R command line:","title":"2. The GGIR pipeline","text":"interested one specific category like sleep: interested e.g. parameter HASIB.algo sleep_params object: parameters accepted parameter function GGIR, GGIR like shell around GGIR functionality. However, params_ objects provided input GGIR.","code":"library(GGIR) print(load_params()) library(GGIR) print(load_params()$params_sleep) library(GGIR) print(load_params()$params_sleep[[\"HASIB.algo\"]])"},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"configuration-file-","dir":"Articles","previous_headings":"The GGIR function > Parameter themes","what":"Configuration file.","title":"2. The GGIR pipeline","text":"GGIR stores parameter values csv-file named config.csv. file stored run GGIR root output folder, overwriting existing config.csv file. , like add annotations file, e.g. fourth column, need store somewhere outside output folder specify path file parameter configfile. Note parameters datadir outputdirdiscussed always need specified directly part configfile. practical value eases replication analysis, instead share R script colleagues, sharing config.csv file sufficient. Please make sure GGIR R version installed using reproducibility. See guidance install older package versions.","code":"library(GGIR) GGIR(datadir = \"C:/mystudy/mydata\",      outputdir = \"D:/myresults\",       configfile = \"D:/myconfigfiles/config.csv\")"},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"parameter-extraction-order","dir":"Articles","previous_headings":"The GGIR function > Parameter themes","what":"Parameter extraction order","title":"2. The GGIR pipeline","text":"parameters provided GGIR call, GGIR always uses . parameters provided GGIR call, GGIR checks whether config.csv file either output folder specified via parameter configfile loads values. parameter neither specified GGIR function call available config.csv file, GGIR use default value’s can inspected discussed section . , important realise consequence logic GGIR revert default parameter values repeated run GGIR unless remove parameter function call delete config.csv file specify original (default) value parameter explicitly GGIR call. ensure clear example: GGIR used first time without specifying parameter mvpathreshold, use default value, 100. specify mvpathreshold = 120, GGIR use instead store config.csv file. run GGIR time delete mvpathreshold = 120 GGIR call, GGIR fall back value 120 now stored config.csv file. delete config.csv file run GGIR , value 100 used .","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"raw-data","dir":"Articles","previous_headings":"Input files","what":"Raw data","title":"2. The GGIR pipeline","text":"GGIR currently works following accelerometer brands formats: GENEActiv .bin Axivity AX3 AX6 .cwa ActiGraph .csv .gt3x (.gt3x newer format generated firmware versions 2.5.0. Serial numbers start “NEO” “MRA” firmware version 2.5.0 earlier use older format .gt3x file). want work .csv exports via commercial ActiLife software, note option export data timestamps, turned . cope absence timestamps GGIR calculate timestamps sample frequency, start time, start date presented file header. Movisens data stored folders. accelerometer brand generates csv output, see documentation functions read.myacc.csv parameter rmc.noise vignette Reading csv files raw data GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"externally-derived-epoch-level-data","dir":"Articles","previous_headings":"Input files","what":"Externally derived epoch-level data","title":"2. The GGIR pipeline","text":"default GGIR assumes data raw discussed chapter 1. However, studies raw data available epoch level aggregate. example, done external software done inside accelerometer device. Although can introduce severe limitations transparency flexibility analysis, GGIR makes attempt facilitate analysis externally performed aggregations raw data. Please find overview file format currently facilitated: Note: Actiwatch ActiGraph, physical activity description sleep classification needs tailored count-specific algorithms: .neishabouricounts = TRUE, acc.metric = \"NeishabouriCount_x\", HASPT.algo = \"NotWorn\" HASIB.algo = \"NotWorn\"; Note 2: UK Biobank csv epoch data, GGIR facilitate sleep analysis arm angle exported. See GGIR CookBook example recipes working external data. process files, GGIR loads content saves GGIR part 1 milestone data, essentially fooling rest GGIR think GGIR part 1 created based raw data input. discussed chapter 3, GGIR non-wear detection two steps: first step done part 1 second step done part 2. relation externally derived epoch data non-wear detected looking consecutive zeros one hour (Actiwatch, ActiGraph) derived file (UK Biobank csv). accelerometer data need analysed stored one folder subfolders folder. Make sure folder contain files accelerometer data. Choose appropriate name folder, preferable reference study project related rather just ‘data’, name folder used identifier dataset integrated name output folder GGIR creates.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"how-to-run-your-analysis","dir":"Articles","previous_headings":"","what":"How to run your analysis?","title":"2. The GGIR pipeline","text":"bare minimum input needed GGIR : Parameter datadir allows specify stored accelerometer data outputdir allows specify like output analyses stored. equal datadir. copy paste code new R script (file ending .R) Source R(Studio), dataset processed output stored specified output directory. GGIR refers file directories folders. unfamiliar term directory: folder. Next, can add parameter mode tell GGIR part(s) run, e.g. mode = 1:5 tells GGIR run five parts default. parameter overwrite, can tell GGIR whether overwrite previously produced milestone data . , parameter idloc tells GGIR find participant ID. default setting likely work data formats, important tailor value parameter study setting. example, files start participant ID followed underscore set idloc=2. See documentation parameter idloc examples. GGIR stores output csv files comma default column separator dot default decimal separator standard UK/US. However, computer configured different region world can modified parameters sep_reports dec_reports, respectively.","code":"library(GGIR) GGIR(datadir = \"C:/mystudy/mydata\",      outputdir = \"D:/myresults\")"},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"from-the-r-console-on-your-own-desktoplaptop","dir":"Articles","previous_headings":"How to run your analysis?","what":"From the R console on your own desktop/laptop","title":"2. The GGIR pipeline","text":"Create R-script put library(GGIR) next line GGIR call GGIR(datadir=\"yourdatapath\", outputdir=\"yourdatapath\"). Next, can source R-script source button RStudio: source(\"pathtoscript/myshellscript.R\") GGIR default supports multi-thread processing used process one input file per process, speeding processing data. can turned setting parameter .parallel = FALSE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"in-a-cluster","dir":"Articles","previous_headings":"How to run your analysis?","what":"In a cluster","title":"2. The GGIR pipeline","text":"processing data GGIR desktop/laptop fast enough, advise using GGIR computing cluster. way Sun Grid Engine cluster shown . Please note commands specific computing cluster working . Please consult local cluster specialist explore run GGIR cluster. , share . three files SGE setting: submit.sh run-mainscript.sh myshellscript.R need update ... last line parameters used GGIR. Note f0=f0,f1=f1 essential work. values f0 f1 passed bash script. setup, need call bash submit.sh command line. help computing clusters, GGIR successfully run world’s largest accelerometer datasets UK Biobank German NAKO study.","code":"for i in {1..707}; do     n=1     s=$(($(($n * $[$i-1]))+1))     e=$(($i * $n))     qsub /home/nvhv/WORKING_DATA/bashscripts/run-mainscript.sh $s $e done #! /bin/bash #$ -cwd -V #$ -l h_vmem=12G /usr/bin/R --vanilla --args f0=$1 f1=$2 < /home/nvhv/WORKING_DATA/test/myshellscript.R options(echo=TRUE) args = commandArgs(TRUE) if(length(args) > 0) {   for (i in 1:length(args)) {     eval(parse(text = args[[i]]))   } } GGIR(f0=f0,f1=f1,...)"},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"processing-time","dir":"Articles","previous_headings":"","what":"Processing time","title":"2. The GGIR pipeline","text":"time process typical seven-day recording anywhere 3 10 minutes depending sample frequency recording, sensor brand, data format, exact configuration GGIR, specifications computer. observing processing times 20 minutes longer seven-day recording probably slowed factors. tips may able address : Make sure data process machine GGIR run. Processing data located somewhere else computer network can substantially slow software. Make sure machine 8GB RAM memory. Using GGIR old machines 4GB known slow. However, total memory bottle neck. Also consider number processes (threads) CPU can run relative amount memory. Ending 2GB per process seems good target. can helpful turn parallel processing .parallel = FALSE. Avoid computational activities machine running GGIR. example, use DropBox OneDrive make sure sync running GGIR. probably best use machine using GGIR process large datasets. Make sure machine configured automatically turn X hours terminate GGIR. , may want configure machine fall asleep pauses GGIR. Lower value parameter maxNcores default uses number available cores derived command parallel::detectCores() minus 1. might cases demanding operating system. Reduce amount data GGIR loads memory parameter chunksize, can useful machines limited memory processing many files parallel. chunksize value 0.2 make GGIR load data chunks 20% size relative chunks loads default, approximately 12 hours data auto-calibration routine 24 hours data calculation signal metrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"ggir-output","dir":"Articles","previous_headings":"","what":"GGIR output","title":"2. The GGIR pipeline","text":"GGIR always creates output folder location specified parameter outputdir. output folder name constructed output_ followed name dataset derived distal folder name data directory specified datadir. recommend approach ensures output folder data directory matching names. way less likely confusion data folder output relates . However, possible use datadir specify vector paths individual files, may helpful want process set files position move new folder. scenario, need set parameter studyname tell GGIR dataset name . Inside output folder GGIR create two subfolders: meta results discussed earlier chapter. Inside results find folder named QC (Quality Checks). name QC (Quality Checks) possibly somewhat confusing. Data quality checks best started files stored results folder, files QC subfolder offer complementary information help quality check. GGIR generates reports parts 2, 4, 5, 6 pipeline. parameter .report can specify parts want reports generated. example, .report = c(2, 5) generate report parts 2 5. full GGIR analysis expect least following output files: Output files results subfolder: detailed discussion output can found chapters. Output files results/QC subfolder: detailed discussion output can found chapters. Output files meta/ms5.outraw subfolder: detailed discussion output can found chapters.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"time-gaps-identification-and-imputation","dir":"Articles","previous_headings":"","what":"Time gaps identification and imputation","title":"3. Data Quality Assurance","text":"Accelerometer data stored binary format (e.g. .bin .cwa) typically structured data blocks. data block header top constant number data points per block, usually equivalent seconds data. Axivity accelerometer data stored ‘.cwa’ file format blocks can, rare occasions, corrupted unreadable, therefore creating gap information recorded. ActiGraph accelerometer, also sensor brands export data ‘csv’ file format, possible recording stops certain time starts recording time, therefore creating time gap. GGIR developed efficiently identify manage time gaps.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"time-gaps-in-axivity-cwa-files","dir":"Articles","previous_headings":"Time gaps identification and imputation","what":"Time gaps in Axivity cwa files","title":"3. Data Quality Assurance","text":"Although expected occur often, Axivity cwa data can come faulty data blocks. ‘faulty’ mean data block interpretable. example, faulty blocks may occur device recording mode connected computer USB cable. address , R package GGIRread, used GGIR read cwa files, identifies faulty blocks imputes last recorded non-faulty acceleration value normalised 1 g (g unit gravitational acceleration). sampling rate accelerometer refers number data points recorded stored per second. Axivity devices expected design slightly variable sampling rate time, accounted interpolating data loaded R. example, data may collected 99.7 Hertz one block, interpolation technique interpolate data 100 Hertz. interpolation happens inside R package GGIRread. exact technique used interpolation set parameter interpolationType uses linear interpolation default (interpolationType = 1), can also set nearest neighbour interpolation (interpolationType = 2). quality assurance, GGIRread keeps track variation sampling rate per data block automatically imputes blocks (smallest segment data cwa file, typically seconds long) sampling rate deviates 10% expected sampling rate. imputation technique time gaps detailed earlier section. unhappy 10% threshold possibility changing percentage parameter frequency_tol. Biased sampling rates kind expected extremely rare expected affect normal research conditions, nonetheless like able account . Additionally, monitor process handling faulty blocks outliers sampling rate, GGIRread logs series file health statistics stored GGIR ‘data_quality_report.csv’ file located within ‘QC’ folder output directory ‘results’ (see previous chapter discussion GGIR output). data quality report, comes variable names prefixed ‘filehealth’, detailing number duration time gaps detected recording(s), well number epochs 5-10% 10% bias sampling rate.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"time-gaps-in-actigraph-gt3x-and-ad-hoc-csv-files","dir":"Articles","previous_headings":"Time gaps identification and imputation","what":"Time gaps in ActiGraph gt3x and ad-hoc csv files","title":"3. Data Quality Assurance","text":"manufacturers incorporate functionalities devices let stop recording long episode movement, aiming conserve battery life reduce data size. However, feature results recorded signals containing intermittent time gaps must accounted data processing. example, ActiGraph option called ‘idle sleep mode’ devices, pauses data collection movement detected sustained period time. ActiGraph’s idle sleep mode explained manufacturer’s website. time gaps data considered non-wear time GGIR. GGIR imputes gaps shorter 90 minutes raw data level, using last recorded value (meaning gap) normalised 1 g. approach assumes accelerometer kept orientation last observed. contrary, gaps longer 90 minutes imputed epoch level make data processing memory efficient faster. epoch level imputation discussed chapter 6. number duration time gaps found logged GGIR ‘data_quality_report.csv’ file located within ‘QC’ folder output directory ‘results’ (see previous chapter discussion GGIR output). Studies often forget clarify whether accelerometers configured pause data collection periods movement , , resulting time gaps accounted data processing. Especially, device firmware manufacturer software already imputes time gaps can cause significant bias GGIR estimates. generally speaking, advise : Report whether ‘idle sleep mode’ similar functionalities used. Disable functionality, possible, harms transparency reproducibility research. Indeed, mechanism exists replicate time gaps accelerometer brands, likely challenge accurate assessment sleep sedentary behaviour. data collected ‘idle sleep mode’ similar functionalities referred raw data accelerometry, data collection process involved proprietary pre-processing steps violate core principle raw data collection.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"specific-note-on-actigraph-idle-sleep-mode","dir":"Articles","previous_headings":"Time gaps identification and imputation","what":"Specific note on ActiGraph idle sleep mode","title":"3. Data Quality Assurance","text":"ActiGraph files might exported gt3x csv formats. idle sleep mode used, data files different. gt3x files, time gaps can found signal, imputation made ActiLife software. However, csv files exported ActiLife imputed values three axes periods movement. Note imputation ActiLife software changed point time. Initially imputation zeros recent versions ActiLife imputation uses last recorded value axis. Therefore, need aware GGIR take care time gap imputation relative idle sleep mode using gt3x files, using ActiGraph csv files (latter come time gaps already imputed).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"accelerometer-sensor-calibration","dir":"Articles","previous_headings":"","what":"Accelerometer sensor calibration","title":"3. Data Quality Assurance","text":"Many measurement tools require calibration ranging weighting scales Oxygen sensor accelerometers. Without good calibration risk error causes lack calibration undermines accurate reliable measurement. Confusingly accelerometers, field long time assumed accelerometer need calibrated relative energy expenditure. incorrect energy expenditure entirely different construct. true reference accelerometer sensors acceleration can calibrate gravitational acceleration reference. acceleration sensor works based principle acceleration captured mechanically converted electrical signal. relationship electrical signal acceleration usually assumed linear, involving offset gain factor. familiar terms, compare simple regression equation offset Beta0 (Y-intercept) gain Beta1 (slope). Therefore, offset number add signal adjust systematic error (bias) gain number multiply signal scale , order adjust relative error. shall refer establishment offset gain factor sensor calibration procedure. three types calibration: Factory calibration, done industry (always done, may need refinement afterward). Manual calibration, done researcher (advisable cases even possible. Auto-calibration, done algorithms real life study data (common scenario refine factory calibration). Accelerometers usually calibrated part manufacturing process non-movement conditions using local gravitational acceleration reference, referred factory calibration. manufacturer calibration can later evaluated holding sensor axis parallel () perpendicular direction gravity; readings axis ±1.000 0.000 g, respectively. one derive correction coefficients per axis. However, procedure can cumbersome studies high throughput. Furthermore, calibration check possible data collected past corresponding accelerometer device exist anymore. reason calibraton advisable cases possible. Finally, auto-calibration type calibration done algorithm using already collected real world data withoutb need additional experiments, explain detail.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"auto-calibration-algorithm","dir":"Articles","previous_headings":"Accelerometer sensor calibration","what":"Auto-calibration algorithm","title":"3. Data Quality Assurance","text":"general principle techniques recording acceleration screened non-movement periods. Next, rolling average non-movement periods taken three orthogonal sensor axes used generate three-dimensional ellipsoid representation ideally sphere radius 1 g. , deviations radius three-dimensional ellipsoid 1 g (ideal calibration) can used derive correction factors sensor axis-specific calibration error. auto-calibration performed GGIR uses technique detailed description demonstration can found published paper. success auto-calibration depends number non-movement periods variation accelerometer orientation periods available algorithm. result, auto-calibration expected perform less short recordings (e.g., less day) recordings participant wear accelerometer time. cases, can use recordings sensor -movement periods higher variation orientations derive calibration coefficients, apply coefficients recording interest. , use parameter backup.cal.coef. auto-calibration algorithm applied default can turned parameter .cal = FALSE. recommend turning auto-calibration unless strong reasons .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"non-wear-detection","dir":"Articles","previous_headings":"","what":"Non-wear detection","title":"3. Data Quality Assurance","text":"can happen study participant wear accelerometer. can happen variety reasons: getting tired wearing accelerometer, forgetting put accelerometer back short moment wearing , getting instructed researcher take . However, accelerometer worn, still collect data. accelerometer lying still, data collected looks like participant supposed wear moving. left undetected, wearing accelerometer bias estimates time spent inactive behaviours. Accelerometer non-wear time detected GGIR looking standard deviation range raw acceleration signals. time window statistical values calculated long enough, turn reliable indicators whether accelerometer worn . specifically, standard deviation value range (.e., maximum value minus minimum value) calculated per 60 minute windows start every 15 minutes (e.g. 14:00, 14:15, etc.) . overlapping nature time windows needed improve precision. time window labelled non-wear, least statistical values 2 3 axes meet brand specific thresholds. result, since multiple overlapping time windows classify 15 minutes, 15 minute window classified multiple times. non-wear criteria met windows overlap 15-minute window, labelled non-wear. brands 13.0 mg less 50 mg. size time window (60 minutes) size time intervals 15 minutes defined parameter windowsizes, three values. specifically, first value used non-wear detection discussed next chapter, second value defines mentioned intervals 15 minutes , third value mentioned 60 minutes time window. non-wear classification, discussed , default 2023. Prior , GGIR slightly different non-wear detection algorithm still available via parameter nonwear_approach recommend use .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"identifying-implausible-wear-time","dir":"Articles","previous_headings":"Non-wear detection","what":"Identifying implausible wear time","title":"3. Data Quality Assurance","text":"can happen time classified wear time implausible example accelerometer post moved around researcher ahead actually intended wear period. example, accelerometer post long periods non-wear briefly interrupted periods movement, interpreted algorithm monitor wear. Therefore, GGIR part 2, detected non-wear GGIR part 1 checked implausible wear periods relabelled non-wear. sure mean part 1 2 see chapter 1, gives overview. GGIR part 2 performs check follows: First , detected wear-periods last less six hours, duration less 30% combined duration bordering non-wear periods, relabelled non-wear. Second, remaining wear-periods less three hours, form less 80% bordering non-wear periods, classified non-wear. motivation selecting relatively high criterion (< 30%) combination long period (6 hrs) low criterion (< 80%) combination short period (3 hrs) long periods likely actually related monitor wear time. illustrate algorithm created visual model, see picture . , units time presented squares marked grey detected non-wear time. Period C detected wear-time borders non-wear periods B D. length C less six hours C divided sum B D less 0.3 first criteria met block C turned non-wear period.  Visual inspection >100 traces large observational study revealed applying stage three times iteratively allowed improved classification periods characterised intermittent periods non-wear apparent wear.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"implausible-wear-at-the-beginning-and-end-of-the-recording","dir":"Articles","previous_headings":"Non-wear detection","what":"Implausible wear at the beginning and end of the recording","title":"3. Data Quality Assurance","text":"Based experience, participants take accelerometer final 24 hours recording actual end. However, may hard detect accelerometer may still moved. Therefore, GGIR relabels wear-periods final 24 hrs recording shorter three hours preceded least one hour non-wear time non-wear. Finally, recording starts ends period less three hours wear followed preceded non-wear (length), period wear classified non-wear. additional criteria screening beginning end accelerometer file intended filter movements related attaching accelerometer start downloading data accelerometer end. final check can turned parameter nonWearEdgeCorrection, may relevant processing accelerometer data collected single-night polysomnography studies.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"clipping-detection","dir":"Articles","previous_headings":"","what":"Clipping detection","title":"3. Data Quality Assurance","text":"GGIR part 1 also screens acceleration signal “clipping”, .e., sustained unusual high (raw) acceleration values non compatible human movement. 30% data points 15-minute window (used non-wear) close maximal values (technical term dynamic range) sensor, corresponding time period considered potentially unreliable, may explained sensor getting stuck extreme value accelerometers used inappropriately (attached heavily accelerating object). example, dynamic range 8g, accelerations 7.5g marked “clipping”. window also classified clipping value window larger 150% dynamic range sensor. Given clipping rarely happens reported GGIR part non-wear time. clipping non-wear treated merging arrive single indicator amount invalid data. However, keep track occurrence clipping time, GGIR report fraction 15-minute windows recording clipping occurs, see section output .","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"time-gap-imputation","dir":"Articles","previous_headings":"Key parameters","what":"Time gap imputation","title":"3. Data Quality Assurance","text":"imputeTimegaps","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"auto-calibration","dir":"Articles","previous_headings":"Key parameters","what":"Auto-calibration","title":"3. Data Quality Assurance","text":".cal backup.cal.coef","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"non-wear-detection-1","dir":"Articles","previous_headings":"Key parameters","what":"Non-wear detection","title":"3. Data Quality Assurance","text":"windowsizes nonwear_approach nonWearEdgeCorrection","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"clipping-detection-1","dir":"Articles","previous_headings":"Key parameters","what":"Clipping detection","title":"3. Data Quality Assurance","text":"windowsizes dynrange","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"3. Data Quality Assurance","text":"van Hees VT, Fang Z, Langford J, Assah F, Mohammad , da Silva IC, Trenell MI, White T, Wareham NJ, Brage S. Autocalibration accelerometer data free-living physical activity assessment using local gravity temperature: evaluation four continents. J Appl Physiol (1985). 2014 Oct 1;117(7):738-44. PMID: 25103964 link van Hees VT, Gorzelniak L, Dean León EC, Eder M, Pias M, Taherian S, Ekelund U, Renström F, Franks PW, Horsch , Brage S. Separating movement gravity components acceleration signal implications assessment human daily physical activity. PLoS One. 2013 Apr 23","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"why-do-we-need-to-extract-metrics","dir":"Articles","previous_headings":"","what":"Why do we need to extract metrics","title":"4. From Raw Data to Acceleration Metrics","text":"Wearable accelerometers widely used health research study physical activity, sleep, behaviours. modern accelerometers can collect store least 30 values per second expressed units gravitational acceleration (g). data collected, important extract kinematically meaningful information . data processing, summary measures describe signal referred metrics signal features. knowledge accelerometer works typical approach metric calculation calculate possible statistical properties acceleration signal like mean, standard deviation, entropy, skewness. However, discussed chapter 1, favour approach try use knowledge sensor. knowledge sensor tells us acceleration signal comes three components need separated: acceleration related gravitational acceleration. absence movement three acceleration signals inform us orientation accelerometer relative gravity proxy posture. Accelerations decelerations related movement, can interpret proxy muscle contractions energy expenditure needed contractions . Measurement error bias. example, signal noise caused electronical components introducing minor variation acceleration signal even real acceleration constant. variation due noise typically small compared variation due movement. Another example calibration errors discussed chapter 3. Finding metric able separate three components provide informative value relation orientation magnitude acceleration proxies mentioned posture muscle contractions, respectively.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"metric-aggregation-per-epoch","dir":"Articles","previous_headings":"","what":"Metric aggregation per epoch","title":"4. From Raw Data to Acceleration Metrics","text":"metrics first calculated resolution raw data, reflects tiny fraction second. exact number data points per second also known sampling rate can vary studies. different sampling rate values directly comparable. However, aggregating metric values per larger time window, known epoch, can make values comparable. , GGIR aggregates values per epoch (e.g. 5 seconds). Aside harmonising data across studies, aggregation per epoch also advantages: Evidence value accelerometer data based epoch-level aggregates, reference values like Oxygen consumption sleep reliably derived sub-second resolution. Aggregating leads less data points makes lot practical work . GGIR, epoch length kept constant across GGIR parts allow consistent interpretation. epoch length set first value parameter windowsizes (default 5 seconds) used throughout steps GGIR, following exceptions: GGIR part 2, time spent MVPA variables (discussed chapter 11) done multiple epoch lengths, one output variable. However, per output variable epoch length held constant throughout recording, GGIR never mixes epoch lengths epoch length affects interpretation value. like reading overview article car speeds alternates unit speed every sentence (.e., miles per hour, meters per second, km per hour, etc). GGIR part 5, user option aggregate epochs 1 minute length parameter part5_agg2_60seconds. example, using 5 second epochs parts 1, 2, 3 4, can informative run part 5 1 minute epoch length.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"acceleration-metrics-available-in-ggir","dir":"Articles","previous_headings":"","what":"Acceleration metrics available in GGIR","title":"4. From Raw Data to Acceleration Metrics","text":"find list metrics GGIR can apply. Multiple metrics can derived GGIR run. acceleration metrics derived GGIR function g.applymetrics. Neishabouri counts GGIR relies R package actifelifecounts. Please see code respective package documentation information exact calculations. use metrics, add parameters GGIR call, e.g.:","code":"GGIR(do.enmo = TRUE, do.mad = TRUE, do.bfen = TRUE, …)"},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"approach-to-removing-the-gravitational-signal-component","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR","what":"Approach to removing the gravitational signal component","title":"4. From Raw Data to Acceleration Metrics","text":"table metrics overview indicates approach used separate gravitation component acceleration signal. two approaches design metrics: Magnitude, metric makes assumption magnitude gravitational acceleration component. Frequency, metric makes assumption frequency content gravitational acceleration component. assumptions known always true conditions, acceleration metric perfect.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"handling-high-frequency-components-in-the-signal","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR","what":"Handling high frequency components in the signal","title":"4. From Raw Data to Acceleration Metrics","text":"argue high frequency components signal treated noise removed. However, likely represent harmonics low frequency movements thus part description movement. elaborate reflection , please see blog post. metrics, listed , letters LF BF name attempt suppress high frequency content signal. , GGIR user can decide whether prefer filter higher frequencies .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"why-ggir-uses-enmo-as-a-default-","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR","what":"Why GGIR uses ENMO as a default.","title":"4. From Raw Data to Acceleration Metrics","text":"one metric can default. Acceleration metric ENMO (Euclidean Norm Minus One negative values rounded zero) default metric since GGIR created. 2013, investigated different ways summarising raw acceleration data (van Hees et al. PLoS ONE 2013). short, different metrics exist little literature support superiority metric time. long different studies use different metrics, findings comparable. Therefore, choice metric ENMO merely pragmatic. GGIR uses ENMO default : 1. ENMO demonstrated value describing variance daily energy expenditure, correlated questionnaire data, able describe patterns physical activity. 2. ENMO easy describe mathematically , therefore, improves reproducibility across studies software tools. 3. ENMO attempts quantify acceleration universal units collapse signal abstract scale. 4. 2013 paper showed ENMO used combination auto-calibration, similar validity filter-based metrics like HFEN BFEN, conceptually similar metrics proposed later MIMSunit, MAD, AI0. 5. Studies criticised ENMO consistently failed apply auto-calibration, attempted apply auto-calibration lab setting, ignoring fact auto-calibration designed short lab settings. needs free-living data work properly. , studies often clear problematic zero imputation idle sleep mode ActiGraph devices dealt .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"notes-on-implementation-of-zero-crossing-counts","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR","what":"Notes on implementation of zero crossing counts","title":"4. From Raw Data to Acceleration Metrics","text":"implementation zero-crossing count GGIR attempt imitate zero-crossed counts previously described Sadeh, Cole, Kripke colleagues late 1980s 1990s. However, guaranteed exact copy original approach, used AMA-32 Motionlogger Actigraph Ambulatory-monitoring Inc. (“AMI”). complete publicly accessible description approach exists.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"missing-information","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR > Notes on implementation of zero crossing counts","what":"Missing information","title":"4. From Raw Data to Acceleration Metrics","text":"missing information calculation : Sadeh specified calculations done based data Y-axis direction Y-axis clarified. Therefore, unclear whether Y-axis time corresponded Y-axis modern sensors. frequency filter used, properties filter missing. Sensitivity sensor: now guessing Motionlogger sensitivity 0.01 g without direct proof. Relationship piezo-electric acceleration signal used time modern piezo-capacitive acceleration signals. personal correspondence AMI, learnt technique kept proprietary never shared sold actigraphy manufacturers (time correspondence October 2021). Based correspondence AMI, can conclude even Actiwatch, ActiGraph, manufacturers, facilitated use 1990s sleep classification algorithms, guarantee exact replication original studies.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"our-guess-on-the-missing-information","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR > Notes on implementation of zero crossing counts","what":"Our guess on the missing information","title":"4. From Raw Data to Acceleration Metrics","text":"Following challenges, implementation zero-crossing count GGIR based educated guess used information find literature product documentation. relation missing information listed : allow specify axis want use parameter Sadeh_axis choose default second axis. use 0.25 - 3 Hertz band-pass filter order 2, can modify parameters zc.lb, zc.hb, zc.order. use 0.01 g stop band, can change parameter zc.sb. assume band-passed signal comparable absence evidence contrary. evaluation, zero-crossing count value range looks plausible compared value range original publications. note ActiGraph users: decide compare GGIR Cole-Kripke estimates ActiLife’s Cole Kripke estimates, aware ActiLife may adopted different Cole-Kripke algorithm original publication presented four algorithms. potential source variation. , ActiLife may used different educated guesses Motionlogger counts calculated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"embedding-your-own-metrics","dir":"Articles","previous_headings":"","what":"Embedding your own metrics","title":"4. From Raw Data to Acceleration Metrics","text":"GGIR users may like use metrics covered GGIR. facilitate , allow external function embedding discussed vignette Embedding external functions GGIR. fact, allows include entire algorithms step detection new sleep classification algorithm like test inside GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"4. From Raw Data to Acceleration Metrics","text":"GGIR part 2, output derived acceleration metric derived GGIR part 1 except metrics anglex, angley, anglez. GGIR part 4, output derived metrics used sleep detection, typically angle count (Neishabouri counts zero-crossing count). GGIR part 5, output derived single metric specified parameter acc.metric. reason constraint part 5 produces many variables creating multiple metrics computationally expensive substantially increase complexity underlying code.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"4. From Raw Data to Acceleration Metrics","text":"compiled list related articles may find useful: Van Hees et al. 2011 Estimation Daily Energy Expenditure Pregnant Non-Pregnant Women Using Wrist-Worn Tri-Axial Accelerometer. van Hees et al. 2013 Separating Movement Gravity Components Acceleration Signal Implications Assessment Human Daily Physical Activity. Migueles et al. 2019 Comparability accelerometer signal aggregation metrics across placements dominant wrist cut points assessment physical activity adults. Aittasalo et al. 2015 Mean amplitude deviation calculated raw acceleration data: novel method classifying intensity adolescents’ physical activity irrespective accelerometer brand. Neishabouri et al. 2022 Quantification acceleration activity counts ActiGraph. Karas et al. 2022 Comparison accelerometry-based measures physical activity: retrospective observational data analysis study. van Hees 2019 Ten Misunderstandings surrounding Information Extraction Wearable Accelerometer data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter5_StudyProtocol.html","id":"selectingmasking-the-data","dir":"Articles","previous_headings":"","what":"Selecting/Masking the data","title":"5. Accounting for Study Protocol","text":"important GGIR masks data outside time window participant instructed wear accelerometer. Study protocols differ duration expected wear period, GGIR offers variety ways account study protocol. main parameter data_masking_strategy. requires numeric value indicating one following strategies: data_masking_strategy = 1 indicate specific number hours masked start /end recording, specified parameters hrs.del.start hrs.del.end, respectively. data_masking_strategy = 2 indicate data first last midnight recording considered. data_masking_strategy = 3 indicate active X 24-h blocks starting time day used, X specified parameter ndayswindow. Note can combined aforementioned parameters hrs.del.start hrs.del.end, trim window start end recording. data_masking_strategy = 4 indicate data first midnight considered. data_masking_strategy = 5 similar data_masking_strategy = 3, yet selects X complete calendar days, X specified parameter ndayswindow. Additionally, can set maximum duration accelerometer worn recording starts. Use parameter maxdur specify duration number 24 hour blocks parameter max_calendar_daysfor number calendar days.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter5_StudyProtocol.html","id":"key-parameters","dir":"Articles","previous_headings":"","what":"Key parameters","title":"5. Accounting for Study Protocol","text":"data_masking_strategy hrs.del.start hrs.del.end ndayswindow maxdur max_calendar_days","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter6_DataImputation.html","id":"imputation-of-invalid-epoch-data","dir":"Articles","previous_headings":"","what":"Imputation of invalid epoch data","title":"6. How GGIR Deals with Invalid Data","text":"time segments classified non-wear clipping (see Chapter 3) masked study protocol (see Chapter 5) treated invalid data. GGIR part 2, epoch level metric values imputed, log kept epochs imputed. subsequent analysis done GGIR, imputed time series used. time series without invalid segments used analyses: Weighted average full recording Cosinor analysis (see Chapter 10) specific non-default configuration sleep analysis (see Chapter 8) imputation epoch data done based mean metric value corresponding valid values time day days recording. However, time interval marked invalid across recorded days, value imputed zero, except metric EN imputed 1. example, imagine 5-day recording following ENMO metric data two specific epochs day across five days: imputed shown average 3, 4, 3 3 3.25:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter6_DataImputation.html","id":"controlling-the-imputation","dir":"Articles","previous_headings":"","what":"Controlling the imputation","title":"6. How GGIR Deals with Invalid Data","text":"worth noting option disable imputation setting parameter .imp = FALSE. means values kept imputed omitted. Disabling imputation recommended use-cases, can relevant studies controlled sleep exercise laboratories sensor known worn throughout experiment. alternative way control imputation specify time segments invalid epochs imputed zeros (ones metric EN) instead following standard GGIR imputation method. , use parameter TimeSegments2ZeroFile.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter6_DataImputation.html","id":"key-parameters","dir":"Articles","previous_headings":"","what":"Key parameters","title":"6. How GGIR Deals with Invalid Data","text":".imp, TimeSegments2ZeroFile","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter6_DataImputation.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"6. How GGIR Deals with Invalid Data","text":"GGIR part 2, plots check data quality highlight segments file considered invalid imputed. plots can found folder “results/QC/”. GGIR part 5, time series produced optionally stored within folder “meta/ms5out.raw/” either csv RData format. time series contain indicator epochs considered invalid imputed.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"data-quality-indicators","dir":"Articles","previous_headings":"","what":"Data quality indicators","title":"7. Describing the Data Without Knowing Sleep","text":"GGIR part 2 summarises data quality checks done previous four chapters, ranging report successfulness auto-calibration procedure number valid days. way, GGIR part 2 ideal place start data quality assurance.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"basic-descriptives","dir":"Articles","previous_headings":"","what":"Basic descriptives","title":"7. Describing the Data Without Knowing Sleep","text":"Descriptive variables calculated reported valid days , criteria valid day defined parameter includedaycrit.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"average-acceleration","dir":"Articles","previous_headings":"Basic descriptives","what":"Average acceleration","title":"7. Describing the Data Without Knowing Sleep","text":"Average acceleration known correlated total activity-related energy expenditure. GGIR part 2 provide two types average acceleration: Average per day, stored day considered valid. Note descriptive descriptives also stored GGIR averages across days, weekend days, weekdays, discuss detail later . Weighted average valid data points recording, weighted timing day valid epochs, regardless whether come days whole classified valid .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"acceleration-distribution","dir":"Articles","previous_headings":"Basic descriptives","what":"Acceleration distribution","title":"7. Describing the Data Without Knowing Sleep","text":"distribution acceleration values can informative . GGIR facilitates two ways: specifying quantiles distribution parameter qlevels, fed base R function quantile, GGIR gives us acceleration metric values corresponding quantiles (quantile multiplied 100 percentile). describing time spent acceleration ranges, defined parameter ilevels . distribution acceleration values often referred intensity distribution physical activity literature.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"sets-of-quantiles-mx-metrics-by-rowlands-et-al-","dir":"Articles","previous_headings":"Derived descriptives","what":"Sets of quantiles (MX metrics by Rowlands et al.)","title":"7. Describing the Data Without Knowing Sleep","text":"quantiles, discussed , can used describe accelerations participants exceed active “X” accumulated minutes day. specific approach, proposed Rowlands et al., quantiles referred MX metrics. MX metrics confused active continuous X hours, e.g. M10, used circadian rhythm research also can derived GGIR (see parameter winhr). use MX metrics proposed Rowlands et al., specify durations 24h day want identify accelerations values. example, generate minimum acceleration value active accumulated 30 minutes, can call qlevels = (1410/1440). parameter also accepts vector generate multiple MX metrics. example, call M60, M30, M10, can specify following: qlevels = c(c(1380/1440), c(1410/1440), c(1430/1440)). Note: time segments shorter 24 hours specified parameter qwindow, 8-hour school day (described Fairclough et al 2020), denominator qlevels change 1440 (24h) specific segment length. example, use 480 (8h). Accordingly, argument call M60, M30, M10 : qlevels = c(c(420/480), c(450/480), c(470/480)). moment, works one segment length GGIR facilitate generation MX metrics multiple unequal time segments within GGIR function call. output part 2 summary report file refer percentile day. Thus, 24-h day, M30 appear “p97.91666_ENMO_mg_0.24hr”. create radar plots MX metrics first described Rowlands et al., GitHub repository provides R code detailed instructions make radar plots using data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"intensity-gradient","dir":"Articles","previous_headings":"Derived descriptives","what":"Intensity gradient","title":"7. Describing the Data Without Knowing Sleep","text":"plot time spent equally spaced acceleration ranges, end asymptotic-shaped curve, indicating little time spent high intensities (acceleration levels) much time spent low intensities. shape distribution may informative hard quantify single number standard form. Therefore, new concept called intensity gradient proposed Rowlands colleagues. intensity gradient defines slope log-transformed axes intensity distribution. specifically, calculate time accumulated incremental acceleration bins (bin size = 25 mg) also keep track mid-point intensity bin, e.g. 62.5 mg bin ranging 50 75 mg. mid-point acceleration bin expressed mg time spent bin expressed minutes log-transformed. log-transformation expected change asymptotic-shaped curve straight line. Subsequently, linear regression fitted data points. slope regression line represents intensity gradient. , calculate correlation coefficient data points help verify degree form straight line (R^2). intensity gradient calculated default. include metric part 2 output, set iglevels = TRUE. , want methodological research , can use parameter define alternative acceleration bins, e.g. using bins 20 instead 25 mg iglevels = c(seq(0, 4000, = 20), 8000).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"key-arguments","dir":"Articles","previous_headings":"","what":"Key arguments","title":"7. Describing the Data Without Knowing Sleep","text":"includedaycrit ilevels qlevels iglevels qwindow .report","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"7. Describing the Data Without Knowing Sleep","text":"GGIR part 2 generates three csv reports: part2_daysummary.csv, part2_summary.csv, data_quality_report.csv. data_quality_report.csv discussed chapter 3, focus first two reports chapter. variables part2_summary.csv recording level aggregates variables part2_daysummary.csv. , variable names starting “AD_” refer average across days, “WD” refers average across weekdays, “” refers average across weekend days, “WWE” refers weighted weekend days ensure weekend days contribute equally, “WWD” refers weighted weekdays ensure weekdays contribute equally. , GGIR part 2 generates report named part2_daysummary_longformat.csv, generated GGIR used day segment analysis, see documentation parameter qwindow. report contains exact information part2_daysummary.csv, long format instead wide format. part2_daysummary_longformat.csv, row represents one segment one day one recording, part2_daysummary.csv, row contains one day one recording segments day organised different columns.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"descriptive-variables","dir":"Articles","previous_headings":"Related output","what":"Descriptive variables","title":"7. Describing the Data Without Knowing Sleep","text":"clarify b refers part2_summary.csv part2_daysummary.csv, r refers part2_summary.csv .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"sib-vanhees2015","dir":"Articles","previous_headings":"","what":"SIB: vanHees2015","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"algorithm looks periods time z-angle change 5 degrees least 5 minutes. algorithm proposed 2015 article. idea behind algorithm interpretable heuristic compared conventional approaches use magnitude acceleration distinguish sustained inactivity bouts. reason assume vanHees2015 better worse reflection sleep, advancement purely intended terms interpretability. vanHees2015 algorithm default. values 5 5 algorithm can modified parameters anglethreshold timethreshold, currently see basis recommend advise sticking default values.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"sib-notworn-experimental","dir":"Articles","previous_headings":"","what":"SIB: NotWorn (EXPERIMENTAL)","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"Disclaimer: status SIB algorithm experimental described evaluated peer-reviewed publication yet. means revisions algorithm can expected algorithm matures. algorithms named “NotWorn” sib guider (next chapter) designed studies instruction wear accelerometer night. obvious facilitate meaningful sleep analysis. Nonetheless need crude estimate night time versus day time order GGIR part 5 characterise day time behaviours. case dataset use guider setting HASPT.algo = \"NotWorn\" discussed next chapter. , recommend combining using “NotWorn” : .imp = FALSE, HASPT.ignore.invalid = NA, ignorenonwear = FALSE. detection sib periods based acceleration metric defined parameter acc.metric.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"combined-with-count-acceleration-metrics","dir":"Articles","previous_headings":"SIB: NotWorn (EXPERIMENTAL)","what":"Combined with count acceleration metrics","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"using count accelereration metric set HASIB.algo = \"NotWorn\". part 4 sib set equal detected guider window. , effectively guider sib algorithm identical case.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"combined-with-gravitational-unit-acceleration-metrics","dir":"Articles","previous_headings":"SIB: NotWorn (EXPERIMENTAL)","what":"Combined with gravitational unit acceleration metrics","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"using acceleration metrics expresses acceleration gravitational units set HASIB.algo accelerometer expected worn specify second guider parameter HASPT.algo discussed int next chapter, e.g. HASPT.algo = c(\"NotWorn\", \"HDCZA)\". way GGIR first search long non-wear periods indicator sleep use define sleep window found fall back sib-algortihm specified HASIB.algo, e.g. \"vanHees2015\".","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"sib-count-based-algorithms-experimental","dir":"Articles","previous_headings":"","what":"SIB: Count based algorithms (EXPERIMENTAL)","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"Disclaimer: status SIB algorithm experimental described evaluated peer-reviewed publication yet. means revisions algorithm can expected algorithm matures. Accelerometers used sleep research since 1990s. However, initial accelerometers store data gravitational units sub-second level use nowadays stored data 30 60 second epoch aggregates. Although aggregates referred counts many manufacturers calculation counts differs manufacturer. attempted facilitate several sleep detection algorithms literature period “Sadeh1994”, “ColeKripke1992”, “Galland2012”. problem algorithms preprocessing done generate counts insufficiently described literature. zero-crossing count used Sadeh1994 ColeKripke1992 attempt made collect much information found made educated guess missing information. zero-crossing counts discussed chapter 4 acceleration metrics. counts calculated can use following SIB algorithms. uncertain whether Y-axis direction modern accelerometers matches direction Y-axis literature old studies direction Y-axis knowledge never clarified.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"sadeh1994","dir":"Articles","previous_headings":"SIB: Count based algorithms (EXPERIMENTAL)","what":"Sadeh1994","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"algorithm proposed Sadeh et al. link. use set parameter HASIB.algo = \"Sadeh1994\" argument Sadeh_axis = \"Y\" indicate algorithm use Y-axis sensor.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"galland2012","dir":"Articles","previous_headings":"SIB: Count based algorithms (EXPERIMENTAL)","what":"Galland2012","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"algorithm proposed Galland et al. link. use implementation Galland2012 algorithm specify parameter HASIB.algo = \"Galland2012\". , set Sadeh_axis = \"Y\" specify algorithm use Y-axis.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"colekripke1992","dir":"Articles","previous_headings":"SIB: Count based algorithms (EXPERIMENTAL)","what":"ColeKripke1992","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"algorithm proposed Cole et al. link, specifically GGIR uses algortihm proposed paper 10-second non-overlapping epochs counts expressed average per minute. skip re-scoring steps paper showed marginal added value added complexity. use GGIR implementation algortihm, specify parameters HASIB.algo = \"ColeKripke1992\" Sadeh_axis = \"Y\" indicate algorithm use Y-axis sensor.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"dealing-with-expected-or-detected-nonwear-time-segments","dir":"Articles","previous_headings":"","what":"Dealing with expected or detected nonwear time segments","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"Depending study protocol may want interpret invalid data (typically non-wear) differently. set parameter ignorenonwear=TRUE (default) ignore non-wear period SIB detection. useful prevent nonwear episodes going bed waking contributing sleep.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"time-window-used-for-sleep-analyses","dir":"Articles","previous_headings":"","what":"Time window used for sleep analyses","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"default sleep analysis considers window noon-noon, ideal shift workers may go bed early day wake noon. address , GGIR changes window analysis seems case: sleep log indicates person woke noon, sleep analysis part 4 done window 6pm-6pm. Similarly, guider indicates person woke 11 , sleep analysis part 3 4 done window 6pm-6pm. way method sensitive individuals main sleep period starting noon ending noon, referred daysleepers output. example case shift workers. Note guider L5+/-12 (discussed ) able , consider noon-noon time window.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-sleeplog","dir":"Articles","previous_headings":"Guiders","what":"Guider: Sleeplog","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"sleep log (diary) already used studies. way GGIR uses sleeplog first described 2015 article. Two sleeplog file structures supported: -called basic advanced sleeplog. use guider set location sleeplog value parameter loglocation. General notes GGIR uses sleeplogs guider: GGIR expects start end sleep window specified. one missing sleeplog data assumed missing entire night. GGIR impute sleeplog data. feel imputation desirable running GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"basic-sleep-log","dir":"Articles","previous_headings":"Guiders > Guider: Sleeplog","what":"Basic sleep log","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Example basic sleeplog: One column participant id, first column. Specify column argument colid. Alternatingly one column onset time one column waking time. Specify column column first night argument coln1, example coln1=2. Timestamps stored without date hh:mm:ss hour values ranging 0 23 (24). onset corresponds lights intention fall asleep, specify sleepwindowType = \"TimeInBed\". can multiple sleeplogs spreadsheet. row representing single recording. First row: first row spreadsheet needs filled column names. basic sleep log format matter column names . first night basic sleeplog assumed correspond first recorded night accelerometer recording. know sleep log start later day make sure add columns labels without timestamps. Note recorded night mean data regardless whether data valid. , participant wear accelerometer first night still first night recording.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"advanced-sleep-log","dir":"Articles","previous_headings":"Guiders > Guider: Sleeplog","what":"Advanced sleep log","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Example advanced sleeplog two recordings: Relative basic sleeplog format advanced sleep log format comes following changes: Recording stored rows, information per days stored columns. Information per day preceded one columns holds calendar date. GGIR designed recognise handle date format assumes used date format consistently sleeplog. Per calendar date column wakeup time followed column onset -bed time. Note different basic sleep log, wakeup time follows column onset -bed time. , advanced sleep log calendar date oriented: asking participant woke fell asleep certain date. However, sleep onset time 2am, still fill 02:00:00, even though 02:00:00 next calendar date. can add columns relating self-reported napping time nonwear time. used sleep analysis g.part3 g.part4, used g.part5 facilitate napping analysis, see argument .sibreport paragraph naps. Multiple naps multiple nonwear periods can entered per day. Leave cells missing values blank. Column names critical advanced sleeplog format: Date columns recognised GGIR column name word “date” . advanced sleep log format recognised GGIR looking occurrence least two column names word “date” name. Wakeup times recognised words “wakeup” column name. Sleeponset, bed bed times recognised columns following character combinations name: “onset”, “inbed”, “tobed”, “lightsout”. Napping times recognised columns word “nap” name. Nonwear times recognised columns word “nonwear” name. GGIR guesses data format looping common date formats. date falls within 30 days start date accelerometer recording date format assumed found. starts attempting “Y-m-d” (2015-06-25).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-hdcza","dir":"Articles","previous_headings":"Guiders","what":"Guider: HDCZA","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"HDCZA algorithm designed studies wrist-worn accelerometer (raw) data sleep log available. algorithm first described 2018 article, modified slightly: Step 6 Figure 1 replaced single threshold (0.2 default). short, step 1-6 attempt classify time periods limited change posture. Next, step 7 extracts time blocks longer 30 minutes, step 8 includes intermittent time periods shorter 60 minutes, step 9 looks longest resulting block day, step 10 represents guider window. Note step 10 Figure 1 paper gives false impression step represents final classification SPT window. way guider used identify SPT window described chapter 10. time segment HDCZA derived default noon noon. However, ends 11am noon applied 6pm-6pm time segment. use guider set parameter HASPT.algo = \"HorAngle\".","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-l5-12-legacy-algorithm","dir":"Articles","previous_headings":"Guiders","what":"Guider: L5+/-12 (LEGACY ALGORITHM)","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Disclaimer: legacy algorithm used publications therefore kept inside GGIR. performance expected less available algorithm, recommend using . guider reflects twelve hour window centred around least active 5 hours day. crude approach likely inferior guiders, easy describe. first presented 2018 article. use guider set parameter def.noc.sleep = c().","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-setwindow-legacy-algorithm","dir":"Articles","previous_headings":"Guiders","what":"Guider: setwindow (LEGACY ALGORITHM)","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Disclaimer: legacy algorithm used publications therefore kept inside GGIR. performance expected less available algorithm, recommend using . guider uses set window day recording. Start end time specified argument def.noc.sleep. example, use guider window 10pm 8am set parameter def.noc.sleep = c(22, 8).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-horangle-experimental","dir":"Articles","previous_headings":"Guiders","what":"Guider: HorAngle (EXPERIMENTAL)","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Disclaimer: status guider experimental described evaluated peer-reviewed publication yet. means revisions algorithm can expected algorithm matures. guider designed hip-worn accelerometer (raw) data, looking longest period horizontal trunk. needs GGIR part 1 2 derived angle longitudinal axis. Setting parameter sensor.location=\"hip\" triggers identification longitudinal axis looking angle strongest 24-hour lagged correlation. can also force GGIR use specific axis longitudinal axis parameter longitudinal_axis. Next, algorithm identifies horizontal axis -45 45 degrees considers horizontal posture. Next, used identify largest time bed period, considering horizontal time segments least 30 minutes, looking longest horizontal period day gaps less 60 minutes ignored. Therefore, last 4 steps algorithm identical last four steps HDCZA algorithm. use guider set parameter HASPT.algo = \"HorAngle\"","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-notworn-experimental","dir":"Articles","previous_headings":"Guiders","what":"Guider: NotWorn (EXPERIMENTAL)","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Disclaimer: status guider experimental described evaluated peer-reviewed publication yet. means revisions algorithm can expected algorithm matures. already referenced previous chapter NotWorn guider designed studies instruction wear accelerometer night. obvious facilitate meaningful sleep analysis. Nonetheless need crude estimate night time versus day time order GGIR part 5 characterise day time behaviours. First NotWorn algorithm calculates 5 minute rolling average acceleration metric values (.e., acceleration metric defined parameter acc.metric) applies threshold 5% standard deviation resulting signal. However, threshold less minimum value signal threshold set equal 10th percentile distribution. Next, used identify largest non-movement period, considering segments least 30 minutes, looking longest segment day gaps less 60 minutes ignored. Therefore, last 4 steps algorithm identical last four steps HDCZA HorAngle algorithms. algorithm expected work acceleration metric, count-type metrics metrics gravitational units. use guider set parameter HASPT.algo = \"NotWorn\". , recommend combining using “NotWorn” : .imp = FALSE ignorenonwear = FALSE. Internally HASPT.ignore.invalid always set NA “NotWorn” used. used also define resulting window SIB period ignore identified SIB window ensure entire window treated sleep. , SIB periods detected ignored. However, know experience participants occasionally wear accelerometer night even told . GGIR offers solution working count data accelerometer metrics gravitational units. case, possible specify second guider use accelerometer worn less 25% time detection window (noon-noon 6pm-6pm). happens check whether parameter HASPT.algo two guiders specified. use second one. example, HASPT.algo = c(\"NotWorn\", \"HDCZA\") HASPT.algo = c(\"NotWorn\", \"HorAngle\").","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"dealing-with-expected-or-detect-nonwear-time-segments","dir":"Articles","previous_headings":"","what":"Dealing with expected or detect nonwear time segments","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Depending study protocol may want interpret invalid data (typically non-wear) differently: want rely available time series invalid time segments imputed leave parameter HASPT.ignore.invalid = FALSE default. want guider ignore invalid segment despite efforts impute , see HASPT.ignore.invalid = TRUE. approach may helpful studies accelerometer often worn waking hour day. want guider consider invalid segments movement period set parameter HASPT.ignore.invalid = NA. approach may helpful studies accelerometer often worn night.","code":""},{"path":[]},{"path":[]},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"in--awd-format","dir":"Articles","previous_headings":"Handling externally derived data > Actiwatch data","what":"in .AWD format","title":"Cookbook","text":"","code":"GGIR(datadir = \"/media/actiwatch_awd\", # folder with epoch level .AWD file   outputdir = \"/media/myoutput\",   dataFormat = \"actiwatch_awd\",   extEpochData_timeformat = \"\\%m/\\%d/\\%Y \\%H:\\%M:\\%S\",   windowsizes = c(60, 900, 3600), # 60 is the expected epoch length   HASIB.algo = \"Sadeh1994\",   def.noc.sleep = c()) # <= because we cannot use HDCZA for ZCY"},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"in--csv-format","dir":"Articles","previous_headings":"Handling externally derived data > Actiwatch data","what":"in .CSV format","title":"Cookbook","text":"","code":"GGIR(datadir = \"/media/actiwatch_csv\", # folder with epoch level .AWD file   outputdir = \"/media/myoutput\",   dataFormat = \"actiwatch_csv\",   extEpochData_timeformat = \"\\%m/\\%d/\\%Y \\%H:\\%M:\\%S\",   windowsizes = c(15, 900, 3600), # 15 is the expected epoch length   HASIB.algo = \"Sadeh1994\",   def.noc.sleep = c()) # <= because we cannot use HDCZA for ZCY"},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"uk-biobank-data-in--csv-format","dir":"Articles","previous_headings":"Handling externally derived data","what":"UK Biobank data in .CSV format","title":"Cookbook","text":"","code":"GGIR(datadir = \"/media/ukbiobank\",    outputdir = \"/media/myoutput\",    dataFormat = \"ukbiobank_csv\",    extEpochData_timeformat = \"\\%m/\\%d/\\%Y \\%H:\\%M:\\%S\",    windowsizes = c(5, 900, 3600), # We know that data was stored in 5 second epoch    desiredtz = \"Europe/London\") # We know that data was collected in the UK"},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"actigraph-count-data-in--csv-format","dir":"Articles","previous_headings":"Handling externally derived data","what":"ActiGraph count data in .CSV format","title":"Cookbook","text":"","code":"GGIR(datadir = \"/examplefiles\",    outputdir = \"\",    dataFormat = \"actigraph_csv\",    windowsizes = c(5, 900, 3600),    threshold.in = round(100 * (5/60), digits = 2),    threshold.mod = round(2500 * (5/60), digits = 2),    threshold.vig = round(10000 * (5/60), digits = 2),    extEpochData_timeformat = \"\\%m/\\%d/\\%Y \\%H:\\%M:\\%S\",    do.neishabouricounts = TRUE,    acc.metric = \"NeishabouriCount_x\")"},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"senwear-data-in--xls-format","dir":"Articles","previous_headings":"Handling externally derived data","what":"Senwear data in .xls format","title":"Cookbook","text":"","code":"GGIR(datadir = \"C:/yoursenseweardatafolder\",     outputdir = \"D:/youroutputfolder\",     windowsizes = c(60, 900, 3600),     threshold.in = 1.5,     threshold.mod = 3,     threshold.vig = 6,     dataFormat = \"sensewear_xls\",     extEpochData_timeformat = \"\\%d-\\%b-\\%Y \\%H:\\%M:\\%S\",     HASPT.algo = \"NotWorn\")"},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"not-worn-during-night","dir":"Articles","previous_headings":"Handling study protocol","what":"Not worn during night","title":"Cookbook","text":"Data type: Study protocol: Worn day, taken night Wear location: “NotWorn” specified second guider can supplied parameter shown . second guider used accelerometer worn 75 percent night. example shows HDCZA.","code":"GGIR(HASPT.algo = c(\"NotWorn\", \"HDCZA\"),     HASIB.algo = \"vanHees2015\",     do.imp = FALSE, # Do not impute nonwear because sensor was never worn 24/7     HASPT.ignore.invalid = NA, # Treat nonwear as potential part of guider window     ignorenonwear = FALSE, # Consider nonwear as potential sleep     includenightcrit = 8,     includedaycrit = 8)"},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"considerations","dir":"Articles","previous_headings":"","what":"Considerations","title":"Published cut-points and how to use them in GGIR","text":"physical activity research field used called cut-points segment accelerometer time series based level intensity. vignette compiled list published cut-points instructions use GGIR. Please note GGIR refers cut-points thresholds, referring thing: value set values help split levels movement intensity. newer cut-points frequently published list may date. Please let us know aware published cut-points missed!","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-expressed-in-gravitational-units-this-vignette","dir":"Articles","previous_headings":"Considerations","what":"Cut-points expressed in gravitational units (this vignette)","title":"Published cut-points and how to use them in GGIR","text":"vignette focuses cut-points metrics attempt quantify average acceleration per epoch gravitational units. strength metrics values affected sampling rate epoch length improving comparability across studies.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-not-expressed-in-gravitational-units-not-in-this-vignette","dir":"Articles","previous_headings":"Considerations","what":"Cut-points NOT expressed in gravitational units (not in this vignette)","title":"Published cut-points and how to use them in GGIR","text":"However, GGIR also facilitates metrics whose values expressed gravitational units historically used. example, metric described Neishabouri (see GGIR argument .neishabouricounts) reflects indicator accumulated body movement time, referred counts, calculated ActiLife software ActiGraph accelerometer brand. Cut-points counts corresponding ActiGraph brand recurrently proposed literature, example, see systematic review stratification age group. Note cut-points ActiGraph counts proposed introduction multiday raw data collection likely hardware-based calculations may perfectly align ActiGraph software-based (Actilife) calculations counts Neishabouri described. result, older cut-points may need used caution. cut-points find literature ActiGraph counts applied Neishabouri counts directly epoch length specific. cut-points literature need corrected conversion factor. conversion factor calculated epoch length new study (e.g. 5 seconds) divided epoch length original study (e.g. 60 seconds). Note correction differences sampling rate needed Neishabouri counts already account via -sampling. want use cut-point “100 counts per minute” literature 5 second epoch data, GGIR function call look like :","code":"GGIR([...],      mode = 1:5,      windowsizes = c(5, 900, 3600),      do.neishabouricounts = TRUE,      acc.metric = \"NeishabouriCount_y\",      threshold.in = 100 * (5/60),      [...])"},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"relevant-arguments-to-use-cut-points-in-ggir","dir":"Articles","previous_headings":"","what":"Relevant arguments to use cut-points in GGIR","title":"Published cut-points and how to use them in GGIR","text":"argument mvpathreshold used part 2 quantify time accumulated user-specified threshold moderate--vigorous intensity expected occur. mvpathreshold applied metrics extracted part 1 arguments .metric (e.g., .enmo, .mad, .neishabouricounts). part 5, threshold.lig, threshold.mod, threshold.vig used indicate thresholds separate inactivity light, light moderate, moderate vigorous, respectively.thresholds applied metric defined acc.metric (default = “ENMO”). summary table parameters definition calculate acceleration metrics previously used calibration cut-points define used physical activity intensity classification cut-points.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-for-preschoolers","dir":"Articles","previous_headings":"Summary of published cut-points","what":"Cut-points for preschoolers","title":"Published cut-points and how to use them in GGIR","text":"*publications used acceleration metrics sum values per epoch rather average per epoch like GGIR . , use cut-point GGIR, provide scaled version cut-points presented paper : (CutPointFromPaper_in_gsecs/85.7) * 1000. Note sample frequency 87.5 reported publication incorrect based correspondence authors replaced 85.7.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-for-childrenadolescents","dir":"Articles","previous_headings":"Summary of published cut-points","what":"Cut-points for children/adolescents","title":"Published cut-points and how to use them in GGIR","text":"*publications used acceleration metrics sum values per epoch rather average per epoch like GGIR . , use cut-point GGIR, provide scaled version cut-points presented paper : (CutPointFromPaper_in_gmins/(sampleRateFromPaper * EpochLengthInSecondsPaper)) * 1000 ** publication used acceleration metrics expressed cut-points g units. , use cut-point GGIR, provide cut-point multiplied 1000.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-for-adults","dir":"Articles","previous_headings":"Summary of published cut-points","what":"Cut-points for adults","title":"Published cut-points and how to use them in GGIR","text":"*publications used acceleration metrics sum values per epoch rather average per epoch like GGIR . , use cut-point GGIR, provide scaled version cut-points presented paper : (CutPointFromPaper_in_gmins/(sampleRateFromPaper * EpochLengthInSecondsPaper)) * 1000 † publication, cut-point based data sampled 30 Hz 100 Hz. scaling cut-points specified (*), resulting thresholds virtually (ones presented table).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-for-older-adults","dir":"Articles","previous_headings":"Summary of published cut-points","what":"Cut-points for older adults","title":"Published cut-points and how to use them in GGIR","text":"*Cut-points derived applying Youden index ROC curves. ** Cut-points derived increasing Sensitivity Specificity light vice versa moderate ROC curves (see paper details).† publications used acceleration metrics sum values per epoch rather average per epoch like GGIR . , use cut-point GGIR, provide scaled version cut-points presented paper : (CutPointFromPaper_in_gmins/(sampleRateFromPaper * EpochLengthInSecondsPaper)) * 1000 ‡ cut-points excluding data aided walking washing activities can found publication.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"notes-on-cut-point-validity","dir":"Articles","previous_headings":"","what":"Notes on cut-point validity","title":"Published cut-points and how to use them in GGIR","text":"Sensor calibration studies , excluding Hildebrand et al. 2016, effort made calibrate acceleration sensors relative gravitational acceleration prior cut-point development. Theoretically can expected cause bias cut-point estimates proportional calibration error device, especially cut-points based acceleration metrics rely assumption accurate calibration metrics: ENMO, EN, ENMOa, also metric SVMgs used studies Esliger 2011, Phillips 2013, Dibben 2020. Idle sleep mode ActiGraph discussed main package vignette, studies using ActiGraph sensor often forget clarify whether idle sleep mode used , accounted data processing. criticism towards cut-point methods? elaborate reflection limitations cut-points motivation cut-points still value GGIR see: https://www.accelting.com/updates/--ggir-facilitate-cut-points/","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Published cut-points and how to use them in GGIR","text":"Aittasalo 2015: https://doi.org/10.1186/s13102-015-0010-0 Bammann 2021: https://doi.org/10.1371/journal.pone.0252615 Dibben 2020: https://doi.org/10.1186/s13102-020-00196-7 Dillon 2016: https://doi.org/10.1371%2Fjournal.pone.0109913 Esliger 2011: https://doi.org/10.1249/mss.0b013e31820513be Fraysse 2020: https://doi.org/10.3389%2Ffspor.2020.579278 Hildebrand 2014: https://doi.org/10.1249/mss.0000000000000289 Hildebrand 2016: https://doi.org/10.1111/sms.12795 Migueles 2021: https://doi.org/10.3390%2Fs21103326 Phillips 2013: https://doi.org/10.1016/j.jsams.2012.05.013 Sanders 2018: https://doi.org/10.1080/02640414.2018.1555904 Schaefer 2014: https://doi.org/10.1249%2FMSS.0000000000000150 Roscoe 2017: https://doi.org/10.1007/s00431-017-2948-2 Vähä-Ypyä 2015: https://doi.org/10.1371/journal.pone.0134813","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Embedding external functions in GGIR","text":"like GGIR want use algorithms raw data included GGIR external function embedding feature can solution. example, may want pilot new machine learned classifiction algorithm want write data cleaning aggregation steps needed analysis real life ‘lab’ acceleormeter data. works: Internally GGIR loads raw accelerometer data memory blocks 24 hours. data memory, corrected calibration error, resampled sample rate required function, GGIR applies default algorithms well external function provided (Python R). external function expected take input: three-column matrix acceleration data corresponding three acceleration axes, optional parameters argument can R format (character, list, vector, data.frame, etc). output external function expected produce matrix data.frame one multiple columns corresponding output external function.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"example-with-external-r-function","dir":"Articles","previous_headings":"","what":"Example with external R function","title":"Embedding external functions in GGIR","text":"example apply function counts() R package activityCounts raw data, produces estimate Actigraph counts per second.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"write-external-function","dir":"Articles","previous_headings":"Example with external R function","what":"Write external function","title":"Embedding external functions in GGIR","text":"Create file calculateCounts.R insert following code:","code":"calculateCounts = function(data=c(), parameters=c()) {   # data: 3 column matrix with acc data   # parameters: the sample rate of data   library(\"activityCounts\")   if (ncol(data) == 4) data= data[,2:4]   mycounts = counts(data=data, hertz=parameters,                      x_axis=1, y_axis=2, z_axis=3,                     start_time = Sys.time())   mycounts = mycounts[,2:4] #Note: do not provide timestamps to GGIR   return(mycounts) }"},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"provide-external-function-to-ggir","dir":"Articles","previous_headings":"Example with external R function","what":"Provide external function to GGIR","title":"Embedding external functions in GGIR","text":"Create new .R file running GGIR analysis, e.g. named myscript.R, insert following code. forget update filepath first line point calculateCounts.R file. code creates object myfun type list expected come following elements: FUN character string specifying location external function want apply. parameters parameters used function, can stored format (vector, matrix, list, data.frame). user make sure external function can handle object. expected_sample_rate Expected sample rate, inputdata difference sample rate, data resampled. expected_unit Expected unit acceleration external function: “mg”, “g” “ms2”. input data different converted. colnames Character vector names columns produced external function. outputres resolution (seconds) output produced external function. Note, needs equal multitude short epoch size g.part1 output (5 seconds) short epoch size multitude resolution. way GGIR can aggregate repeat external function output used inside GGIR. minlength minimum length (seconds) input data needed, typically window per output provided. outputtype Character indicate type external function output. Set “numeric” data stored numbers (numeric format), “character” character string. aggfunction data needs aggregated match short epoch size g.part1 output (5 seconds) element specifies function used aggregation, e.g. mean, sum, median. timestamp Boolean indicated whether timestamps (seconds since 1-1-1970) passed external function first columm data matrix.. reporttype Character indicate type reporting GGIR: “scalar” averaged per day, “event” summed per day, “type” categorical variable can aggregated per day tabulating . name Character indicate name entity detected cases event detection, name used output filename, e.g. part2_stepsummary.csv name “step”. moment name use event detection algorithms Next, add call GGIR function GGIR myfun provided one arguments: Please see  information function GGIR.","code":"source(\"~/calculateCounts.R\") myfun =  list(FUN=calculateCounts,               parameters= 30,               expected_sample_rate= 30,               expected_unit=\"g\",               colnames = c(\"countsX\",\"countsY\",\"countsZ\"),               outputres = 1,               minlength = 1,               outputtype=\"numeric\",               aggfunction = sum,               timestamp=F,               reporttype=\"scalar\") library(GGIR) GGIR(datadir=\"~/myaccelerometerdata\",              outputdir=\"~/myresults\",              mode=1:2,              epochvalues2csv = TRUE,              do.report=2,              myfun=myfun) #<= this is where object myfun is provided to GGIR"},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"example-with-external-python-function","dir":"Articles","previous_headings":"","what":"Example with external Python function","title":"Embedding external functions in GGIR","text":"example use external Python function estimate dominant signal frequency per acceleration axis. Note can also done R, shows even Python functions can provided.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"write-external-function-1","dir":"Articles","previous_headings":"Example with external Python function","what":"Write external function","title":"Embedding external functions in GGIR","text":"Create dominant_frequency.py insert code shown : Create dominant_frequency.R calls python function insert following code:","code":"import numpy  def dominant_frequency(x, sf):   # x: vector with data values   # sf: sample frequency   fourier = numpy.fft.fft(x)   frequencies = numpy.fft.fftfreq(len(x), 1/sf)   magnitudes = abs(fourier[numpy.where(frequencies > 0)])   peak_frequency = frequencies[numpy.argmax(magnitudes)]   return peak_frequency dominant_frequency = function(data=c(), parameters=c()) {   # data: 3 column matrix with acc data   # parameters: the sample rate of data   source_python(\"dominant_frequency.py\")   sf=parameters   N = nrow(data)   ws = 5 # windowsize   if (ncol(data) == 4) data= data[,2:4]   data = data.frame(t= floor(seq(0,(N-1)/sf,by=1/sf)/ws),                     x=data[,1], y=data[,2], z=data[,3])   df = aggregate(data, by = list(data$t),                   FUN=function(x) {return(dominant_frequency(x,sf))})   df = df[,-c(1:2)]   return(df) } }"},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"provide-external-function-to-ggir-1","dir":"Articles","previous_headings":"Example with external Python function","what":"Provide external function to GGIR","title":"Embedding external functions in GGIR","text":"Create new .R file running GGIR analysis, e.g. named myscript.R, insert following blocks code. Specification Python environment use, can also conda environment docker container (see documentation R package  details). Make sure Python environment required dependencies external function, need numpy. Specify myfun object explained R example. forget update filepath \"~/dominant_frequency.R\" file. Add call function GGIR myfun provided argument. Note , .parallel set FALSE. Unfortunately Python embedding R package reticulate multi-threading R package foreach used GGIR combine well.","code":"library(\"reticulate\")   use_virtualenv(\"~/myvenv\", required = TRUE) # Local Python environment   py_install(\"numpy\", pip = TRUE) source(\"~/dominant_frequency.R\") myfun =  list(FUN=dominant_frequency,               parameters= 30,               expected_sample_rate= 30,               expected_unit=\"g\",               colnames = c(\"domfreqX\", \"domfreqY\", \"domfreqZ\"),               minlength = 5,               outputres = 5,               outputtype=\"numeric\",               aggfunction = median               timestamp=F,               reporttype=\"scalar\") library(GGIR) GGIR(datadir=\"~/myaccelerometerdata\",              outputdir=\"~/myresults\",              mode=1:2,              epochvalues2csv = TRUE,              do.report=2,              myfun=myfun,              do.parallel = FALSE)"},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"part-1","dir":"Articles","previous_headings":"Integration in GGIR output","what":"Part 1","title":"Embedding external functions in GGIR","text":"external function output included time series produced function GGIR function g.part1 stored RData-file /output_nameofstudy/meta/basic. resolution output GGIR set GGIR argument windowsizes, c(5,900,3600) default. , first element 5 specifies short epoch size seconds. output external function less resolution aggregated function specificied aggfunction myfun object. count example used sum dominant frequency example used median.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"part-2","dir":"Articles","previous_headings":"Integration in GGIR output","what":"Part 2","title":"Embedding external functions in GGIR","text":"Next, part2 GGIR aims detect non-wear periods imputes . impute time series can found part 2 milestone data folder: /output_nameofstudy/meta/ms2.. want directly stored csv file set argument epochvalues2csv = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"external-functions-released-by-ggir-collaborators","dir":"Articles","previous_headings":"","what":"External functions released by GGIR collaborators:","title":"Embedding external functions in GGIR","text":"Wrist-based step detection algorithm: https://github.com/ShimmerEngineering/Verisense-Toolbox/tree/master/Verisense_step_algorithm Wrist-based sleep classification described Sundararajan et al. 2021 link paper, corresponding code : https://github.com/wadpac/Sundararajan-SleepClassification-2021/tree/master/ggir_ext","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"what-is-ggir","dir":"Articles","previous_headings":"Introduction","what":"What is GGIR?","title":"Accelerometer data processing with GGIR","text":"GGIR R-package process multi-day raw accelerometer data physical activity sleep research. term raw refers data expressed m/s2 gravitational acceleration opposed previous generation accelerometers stored data accelerometer brand specific units. signal processing includes automatic calibration, detection sustained abnormally high values, detection non-wear calculation average magnitude dynamic acceleration based variety metrics. Next, GGIR uses information describe data per recording, per day measurement, (optionally) per segment day measurement, including estimates physical activity, inactivity sleep. published overview paper GGIR 2019 link. vignette provides general introduction use GGIR interpret output, additionally can find introduction video mini-tutorial YouTube. want use algorithms raw data GGIR facilitates ’s external function embedding feature, documented separate vignette: Embedding external functions GGIR. GGIR increasingly used research groups across world. non-exhaustive overview academic publications related GGIR can found . R package GGIR possible without support contributors listed author list GGIR, specific code contributions time since April 2016 (GGIR development moved GitHub) shown . Cite GGIR: use GGIR publications forget cite properly makes research reproducible gives credit ’s developers. See paragraph Citing GGIR details.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"contributing-support-and-keeping-up-to-date","dir":"Articles","previous_headings":"Introduction","what":"Contributing, Support, and Keeping up to date","title":"Accelerometer data processing with GGIR","text":"contribute code? development version GGIR can found github, also find guidance contribute. can get service support? GGIR open source software come service support guarantees. However, user-community can help via GGIR google group GitHub issue tracker. Please use public platform rather private e-mails users can learn conversations. need dedicated support use GGIR need someone adapt GGIR needs Vincent van Hees available independent consultant. Training R essentials GGIR offer frequent online GGIR training courses. Check dedicated training website details option book training. questions training booking process? hesitate contact us via: training@accelting.com. Also interest may brief free R introduction tutorial. Change log log main changes GGIR time can found .","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"install-r-and-rstudio","dir":"Articles","previous_headings":"Setting up your work environment","what":"Install R and RStudio","title":"Accelerometer data processing with GGIR","text":"Download install R Download install RStudio Install GGIR dependencies CRAN. can one command console command line: Alternatively, install latest development version latest bug fixes use instead: Additionally, use-cases need install one multiple additional packages: working Axivity, GENEActiv, GENEA files, install GGIRread package install.packages(\"GGIRread\") working ActiGraph gt3x files, install read.gt3x package install.packages(\"read.gt3x\") want derive Neishabouricounts (.neishabouricounts = TRUE), install actilifecounts package install.packages(\"actilifecounts\") want derive circadian rhythm indicators using [Cosinor analysis Extended Cosinor analysis] (cosinor = TRUE part 2, part 6 always performed), install ActCR package install.packages(\"ActCR\")","code":"install.packages(\"GGIR\", dependencies = TRUE) install.packages(\"remotes\") remotes::install_github(\"wadpac/GGIR\")"},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"prepare-folder-structure","dir":"Articles","previous_headings":"Setting up your work environment","what":"Prepare folder structure","title":"Accelerometer data processing with GGIR","text":"GENEActiv .bin Axivity AX3 AX6 .cwa ActiGraph .csv .gt3x (.gt3x newer format generated firmware versions 2.5.0. Serial numbers start “NEO” “MRA” firmware version 2.5.0 earlier use older format .gt3x file). Note Actigraph users: want work .csv exports via commercial ActiLife software note option export data timestamps. Please causes memory issues GGIR. cope absence timestamps GGIR calculate timestamps sample frequency, start time start date presented file header. Movisens .bin files data stored folders. GGIR expects participant’s folder contains least file named acc.bin. accelerometer brand generates csv output, see documentation functions read.myacc.csv argument rmc.noise GGIR function documentation (pdf). Note functionality following file formats part GGIR deprecated required significant maintenance effort without clear use case community support: (1) .bin Genea monitor Unilever Discover, accelerometer used studies 2007 2012) .bin, (2) .wav files can exported Axivity Ltd OMGUI software. Please contact us think data formats facilitated GGIR interested supporting ongoing maintenance. accelerometer data needs analysed stored one folder, subfolders folder. Give folder appropriate name, preferable reference study project related rather just ‘data’, name folder used later identifier dataset.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"ggir-shell-function","dir":"Articles","previous_headings":"Setting up your work environment","what":"GGIR shell function","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"key-general-arguments","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Key general arguments","title":"Accelerometer data processing with GGIR","text":"probably never need think arguments listed , lot arguments included facilitate methodological studies researchers want control every little detail. See previous paragraph links documentation find default value parameter. bare minimum input needed GGIR : Argument datadir allows specify stored accelerometer data outputdir allows specify like output analyses stored. equal datadir. copy paste code new R script (file ending .R) Source R(Studio) dataset processed output stored specified output directory. highlighted key arguments may want aware . giving detailed explanation, please see package manual . mode - part GGIR run, GGIR constructed five parts sixth part development. overwrite - whether overwrite previously produced milestone output. GGIR part, GGIR stores milestone output ease re-running parts pipeline. idloc - tells GGIR find participant ID (default: inside file header) data_masking_strategy set value 1, check arguments hrs.del.start hrs.del.end. data_masking_strategy set value 3 5, check arguments ndayswindow, hrs.del.start hrs.del.end. maxdur - maximum number days expect data file based study protocol. desiredtz - time zone experiment. chunksize - way tell GGIR use less memory, can useful machines limited memory. includedaycrit - tell GGIR many hours valid data per day (midnight-midnight) acceptable. includenightcrit - tell GGIR many hours valid night (noon-noon) acceptable. qwindow - argument tell GGIR whether segment day day-segment specific analysis. mvpathreshold boutcriter - acceleration threshold bout criteria used calculating time spent MVPA (used GGIR part2). epochvalues2csv - export epoch level magnitude acceleration csv files (addition already stored RData file) dayborder - decide whether edge day midnight. iglevels - argument related intensity gradient method proposed . Rowlands. .report - specify reports need generated. viewingwindow visualreport - create visual report, works five parts GGIR successfully run. Note visual report initially developed provide something show study participants data quality checking purposes. time improved visual report also useful QC-ing data. however, scorings shown visual report created visual report may reflect scorings main GGIR analyses reported quantitative csv-reports. effort past 10 years gone making sure csv-report correct, visualreport mostly side project. unfortunate hope find funding future design new report specifically purpose QC-ing anlayses done GGIR. maxRecordingInterval - specified controls whether neighboring overlapping recordings participant ID brand appended epoch level. can useful intention monitor behaviour larger periods time accelerometers allow weeks data collection. GGIR never append alter raw input file, operation preformed derived data. study_dates_file - specified trims recorded data first last date study took place. relevant studies started recording several days accelerometers actually worn participants. used top data_masking_strategy, may combined strategies GGIR.","code":"library(GGIR) GGIR(datadir=\"C:/mystudy/mydata\",  outputdir=\"D:/myresults\")"},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"key-arguments-related-to-sleep-analysis","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Key arguments related to sleep analysis","title":"Accelerometer data processing with GGIR","text":"explanation sleep detected specific role various function arguments see section Sleep analysis. Arguments related configuring sleep detection algorithm: anglethreshold, timethreshold, HASPT.algo, HASIB.algo, Sadeh_axis, HASPT.ignore.invalid. ignorenonwear set TRUE ignore detected monitor non-wear periods detection sustained inactivity bouts avoid confusion monitor non-wear time. want create visualisation sleep period time sustained inactivity bouts match throughout day consider arguments .visual, outliers., criterror. want exclude first last night sleep analysis used excludefirstlast. def.noc.sleep specifies sleep period time window estimated sleeplog used. includenightcrit Minimum number valid hours per night (24 hour window noon noon 6pm-6pm). data_cleaning_file ginore specific nights specific individuals, see also section Data cleaning file. want sleep analysis guided sleeplog (diary) check arguments loglocation specifies location spreadsheet (csv) sleep log information. , use arguments colid coln1 specify details sleep log structure. GGIR facilitates two possible sleeplog file structures:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"basic-sleep-log","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function > Key arguments related to sleep analysis","what":"Basic sleep log","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"advanced-sleep-log","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function > Key arguments related to sleep analysis","what":"Advanced sleep log","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"key-arguments-related-to-time-use-analysis","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Key arguments related to time use analysis","title":"Accelerometer data processing with GGIR","text":"explanation time use analysis performed see section Waking-waking 24 hour time-use analysis. excludefirstlast.part5 - whether ignore last first day. includedaycrit.part5 - tell GGIR fraction waking hours day (value 1) acceptable. minimum_MM_length.part5 - tell GGIR minimum length (hours) MM window part 5. Configure thresholds acceleration levels (may want interpret intensity levels): threshold.lig, threshold.mod, threshold.vig. single interruption can last < 1 min Repeated interruptions allowed provided total time exceed 20% bout duration time spent interruptions included duration MVPA bout. example: 25-minute bout can two 1 minute interruption, single 2-minute interruption. , full 25 minutes count towards duration MVPA bout. timewindow specify whether days defined midnight midnight \"MM\", waking-waking-\"WW\", sleep onset sleep onset \"OO\", combination . Configure durations bouts: boutdur.mvpa, boutdur., boutdur.lig. Note can vector multiple values indicating minimum maximum duration subsequent bout types, e.g. 1-5 minutes MVPA, 5-10 minutes MVPA, longer 10 minutes MVPA.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"published-cut-points-and-how-to-use-them","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Published cut-points and how to use them","title":"Accelerometer data processing with GGIR","text":"section rewritten moved. Please, visit vignette Published cut-points use GGIR details cut-points available, use , additional reflections use cut-points GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"example-call","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Example call","title":"Accelerometer data processing with GGIR","text":"consider arguments may end call GGIR look follows. used GGIR output directory (outputdir) filled milestone data results.","code":"library(GGIR) GGIR(mode=c(1,2,3,4,5),       datadir=\"C:/mystudy/mydata\",       outputdir=\"D:/myresults\",       do.report=c(2,4,5),       #=====================       # Part 2       #=====================       data_masking_strategy = 1,       hrs.del.start = 0,          hrs.del.end = 0,       maxdur = 9,                 includedaycrit = 16,       qwindow=c(0,24),       mvpathreshold =c(100),       excludefirstlast = FALSE,       includenightcrit = 16,       #=====================       # Part 3 + 4       #=====================       def.noc.sleep = 1,       outliers.only = TRUE,       criterror = 4,       do.visual = TRUE,       #=====================       # Part 5       #=====================       threshold.lig = c(30), threshold.mod = c(100),  threshold.vig = c(400),       boutcriter = 0.8,      boutcriter.in = 0.9,     boutcriter.lig = 0.8,       boutcriter.mvpa = 0.8, boutdur.in = c(1,10,30), boutdur.lig = c(1,10),       boutdur.mvpa = c(1),       includedaycrit.part5 = 2/3,       #=====================       # Visual report       #=====================       timewindow = c(\"WW\"),       visualreport=TRUE)"},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"configuration-file","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Configuration file","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"from-the-r-console-on-your-own-desktoplaptop","dir":"Articles","previous_headings":"Time for action: How to run your analysis?","what":"From the R console on your own desktop/laptop","title":"Accelerometer data processing with GGIR","text":"Create R-script put GGIR call . Next, can source R-script source function R: source(\"pathtoscript/myshellscript.R\") use Source button RStudio use RStudio.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"in-a-cluster","dir":"Articles","previous_headings":"Time for action: How to run your analysis?","what":"In a cluster","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"processing-time","dir":"Articles","previous_headings":"Time for action: How to run your analysis?","what":"Processing time","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"inspecting-the-results","dir":"Articles","previous_headings":"","what":"Inspecting the results","title":"Accelerometer data processing with GGIR","text":"GGIR generates following types output. - csv-spreadsheets variables need physical activity, sleep circadian rhythm research - Pdfs page low resolution plot data per file quality indicators - R objects milestone data - Pdfs visual summary physical activity sleep patterns identified (see example )","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"output-part-2","dir":"Articles","previous_headings":"Inspecting the results","what":"Output part 2","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"person-level-summary","dir":"Articles","previous_headings":"Inspecting the results > Output part 2","what":"Person level summary","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"day-level-summary","dir":"Articles","previous_headings":"Inspecting the results > Output part 2","what":"Day level summary","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"data_quality_report","dir":"Articles","previous_headings":"Inspecting the results > Output part 2","what":"Data_quality_report","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"output-part-4","dir":"Articles","previous_headings":"Inspecting the results","what":"Output part 4","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"night-level-summaries","dir":"Articles","previous_headings":"Inspecting the results > Output part 4","what":"Night level summaries","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"non-default-variables-in-part-4-csv-report","dir":"Articles","previous_headings":"Inspecting the results > Output part 4 > Night level summaries","what":"Non-default variables in part 4 csv report","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"visualisation_sleep-pdf","dir":"Articles","previous_headings":"Inspecting the results > Output part 4","what":"visualisation_sleep.pdf","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"output-part-5","dir":"Articles","previous_headings":"Inspecting the results","what":"Output part 5","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"output5","dir":"Articles","previous_headings":"Inspecting the results > Output part 5","what":"Day level summary","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"person-level-summary-1","dir":"Articles","previous_headings":"Inspecting the results > Output part 5","what":"Person level summary","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"output-part-6","dir":"Articles","previous_headings":"Inspecting the results","what":"Output part 6","title":"Accelerometer data processing with GGIR","text":"part6CR = TRUE vector specified paramter .report includes number 6, csv report stored following variables:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"motivation-and-clarification","dir":"Articles","previous_headings":"","what":"Motivation and clarification","title":"Accelerometer data processing with GGIR","text":"chapter try collect motivations clarification behind GGIR may clear existing publications.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"reproducibilty-of-ggir-analyses","dir":"Articles","previous_headings":"Motivation and clarification","what":"Reproducibilty of GGIR analyses","title":"Accelerometer data processing with GGIR","text":"tips increase reproducibility findings: publish findings, please remember add GGIR package version number. GGIR archived CRAN available archive section package website. GGIR evolved years. get better understanding versions differ check NEWS sections package website Report configured accelerometer Report study protocol wear instructions given participants Report GGIR version Report GGIR used: Share config.csv file R script Report post-processed / cleaned GGIR output Report reported outcomes relate specific variable names GGIR","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"auto-calibration","dir":"Articles","previous_headings":"Motivation and clarification","what":"Auto-calibration","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"non-wear-detection","dir":"Articles","previous_headings":"Motivation and clarification","what":"Non-wear detection","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"clipping-score","dir":"Articles","previous_headings":"Motivation and clarification","what":"Clipping score","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"why-collapse-information-to-epoch-level","dir":"Articles","previous_headings":"Motivation and clarification","what":"Why collapse information to epoch level?","title":"Accelerometer data processing with GGIR","text":"Although many data points collected decide work aggregated values (e.g. 1 5 second epochs) following reasons: Accelerometers often used describe patterns metabolic energy expenditure. Metabolic energy expenditure typically defined per breath per minute (indirect calorimetry), per day (room calorimeter), per multiple days (doubly labelled water method). order validate methods reference standards need work similar time resolution. Collapsing data epoch summary measures helps standardise differences sample frequency studies. little evidence raw data accurate representation body acceleration. scientific evidence validity accelerometer data far based epoch averages. Collapsing data epoch summary measures may help average different noise levels make sensor brands comparable.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"why-does-the-first-epoch-not-allign-with-the-original-start-of-the-recording","dir":"Articles","previous_headings":"Motivation and clarification > Why collapse information to epoch level?","what":"Why does the first epoch not allign with the original start of the recording","title":"Accelerometer data processing with GGIR","text":"GGIR uses short (default 5 seconds) long epochs (default 15 minutes). epochs aligned hour day, . example, recording starts 9:52:00 GGIR work epochs derived 10:00:00 onward. recording starts 10:12 GGIR work epochs derived 10:15:00 onward. Motivation: allows us standardised time grid across recordings describe behaviour. allows us calculate behaviour exactly per day per specified time interval day. first 15 minute epochs start 9:52 next one start 10:07, makes impossible make statement behaviour 10:00 13:00.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"Sleep_analysis","dir":"Articles","previous_headings":"Motivation and clarification","what":"Sleep analysis","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"replication-of-the-movement-counts-needed","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis > Notes on sleep classification algorithms designed for count data","what":"Replication of the movement counts needed","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"missing-information-for-replicating-movement-counts","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis > Notes on sleep classification algorithms designed for count data","what":"Missing information for replicating movement counts","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"an-educated-guess-and-how-you-can-to-help-optimise-the-implementation","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis > Notes on sleep classification algorithms designed for count data","what":"An educated guess and how you can to help optimise the implementation","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"guiders","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis","what":"Guiders","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"daysleepers-nights-workers","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis","what":"Daysleepers (nights workers)","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"Cleaningcode","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis","what":"Cleaningcode","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"difference-between-cleaned-and-full-output","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis","what":"Difference between cleaned and full output","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"Data_cleaning_file","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis","what":"Data cleaning file","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"Waking-waking_or_24_hour","dir":"Articles","previous_headings":"Motivation and clarification","what":"Waking-waking or 24 hour time-use analysis","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"time-series-output-files","dir":"Articles","previous_headings":"Motivation and clarification > Waking-waking or 24 hour time-use analysis","what":"Time series output files","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"day-inclusion-criteria","dir":"Articles","previous_headings":"Motivation and clarification > Waking-waking or 24 hour time-use analysis","what":"Day inclusion criteria","title":"Accelerometer data processing with GGIR","text":"full part 5 output stored results/QC folder. default inclusion criteria days cleaned output part 5 (stored results folder) : MM WW defined days: valid (sensor worn) time fraction day needs fraction specified argument includedaycrit.part5 (default 2/3). MM defined days : length day needs least number hours specified minimum_MM_length.part5 (default 23). Note experiment started ended middle day default setting exclude incomplete first last days. think including days still meaningful work adjust argument minimum_MM_length.part5. Important notes: criteria set amount valid data SPT window, interested part 5 knowing borders night trust sufficiently estimated part 4. disagree please notice days included full report available results/QC folder. means argument includenightcrit used part 4 used part 5. data_cleaning_file argument discussed Data_cleaning_file also allows tell GGIR person(s) day(s) omitted part 5. day numbers excluded listed column day_part5 header.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"fragmentation-metrics","dir":"Articles","previous_headings":"Motivation and clarification > Waking-waking or 24 hour time-use analysis","what":"Fragmentation metrics","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR. Difference fragments blocks: Elsewhere part5 use term block. block sequence epochs belong behavioural class. may sound similar definition fragment, blocks distinguish every behavioural class, includes subcategories bouted unbouted behaviour. means variables Nblock_day_total_IN Nblock_day_total_LIG identical Nfrag_IN_day Nfrag_LIPA_day, respectively. contrast, fragments may group LIPA MVPA together refering fragmentation PA. Differences R package ActFrag: section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"why-use-data-metric-enmo-as-default","dir":"Articles","previous_headings":"Motivation and clarification","what":"Why use data metric ENMO as default?","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"what-does-ggir-stand-for","dir":"Articles","previous_headings":"Motivation and clarification","what":"What does GGIR stand for?","title":"Accelerometer data processing with GGIR","text":"wanted short name spend much time finding . abbreviation lost functional meaning, now use GGIR name.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"circadian-rhythm-analyses","dir":"Articles","previous_headings":"Motivation and clarification","what":"Circadian Rhythm analyses","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"actigraphs-idle-sleep-mode","dir":"Articles","previous_headings":"Motivation and clarification","what":"ActiGraph’s idle sleep mode","title":"Accelerometer data processing with GGIR","text":"idle sleep mode explained manufacturer’s website. short, idle sleep mode setting can turned user. turned device fall asleep periods movement, resulting time gaps data. functionality probably introduced safe battery life minimize data size. However, also means end time gaps need accounted .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"time-gap-imputation","dir":"Articles","previous_headings":"Motivation and clarification > ActiGraph’s idle sleep mode","what":"Time gap imputation","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"the-importance-of-reporting-idle-sleep-mode-usage","dir":"Articles","previous_headings":"Motivation and clarification > ActiGraph’s idle sleep mode","what":"The importance of reporting idle.sleep.mode usage","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"mx-metrics-minimum-intensity-of-most-active-x-minutes","dir":"Articles","previous_headings":"Motivation and clarification","what":"MX metrics (minimum intensity of most active X minutes)","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"Minimum_recording_duration","dir":"Articles","previous_headings":"Motivation and clarification","what":"Minimum recording duration","title":"Accelerometer data processing with GGIR","text":"GGIR designed process multi-day recordings. minimum recording duration considered GGIR depends type analysis: Running part 1 2 File size; least 2MB, 2MB can adjusted argument minimumFileSizeMB. changed unless good reason believe smaller file size also acceptable. Recording duration: least two long epoch windows (default 60 minutes) g.readaccfile. size epoch can altered second third value vector argument windowsizes, third smaller second. example, short lasting lab-experiments may find easier set windowsizes = c(5, 600, 600) non-wear detection usually necessary lab studies. Running part 3 4 least one night data expected, night expected least timestamp midnight. midnight found sleep detection skipped. Running part 5 Ideally two valid consecutive nights waking hours .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"lux-sensor-data-processing","dir":"Articles","previous_headings":"Motivation and clarification","what":"LUX sensor data processing","title":"Accelerometer data processing with GGIR","text":"Although GGIR focuses accelerometer data brands come LUX data. part 1 GGIR calculates peak lux per long epoch default resolution 15 minutes, can modified argument windowsizes. Peak light offers reliable estimate light exposure per time window compared taking average. , LUX used auto-calibration. GGIR part 2 visualise LUX values qc plot. part 3 4 LUX used sleep classification relation light exposure sleep weak. part 5 calculate mean maximum peak LUX per epoch across waking hours day. , mean (peak per epoch) LUX indicate average light exposure per time segment, max peak indicate maximum light exposure per day. , calculate max mean peak LUX per active consecutive X hour day. intended offer alternative LUX exposure waking hours relies correct sleep classification. LUX exposure M10 may seen alternative unsure whether can trust sleep classification data set.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"other-resources","dir":"Articles","previous_headings":"","what":"Other Resources","title":"Accelerometer data processing with GGIR","text":"GGIR package manual provides documentation individual functions. general questions use GGIR join google group/mailing list. bug reports please post .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"CitingGGIR","dir":"Articles","previous_headings":"","what":"Citing GGIR","title":"Accelerometer data processing with GGIR","text":"correct citation research software important make research reproducible acknowledge effort goes development open-source software. , please report GGIR version used text. Additionally, please also cite: Migueles JH, Rowlands AV, et al. GGIR: Research Community–Driven Open Source R Package Generating Physical Activity Sleep Outcomes Multi-Day Raw Accelerometer Data. Journal Measurement Physical Behaviour. 2(3) 2019. doi: 10.1123/jmpb.2018-0063. work depends quantification physical activity also cite: van Hees VT, Gorzelniak L, et al. Separating Movement Gravity Components Acceleration Signal Implications Assessment Human Daily Physical Activity. PLoS ONE 8(4) 2013. link Sabia S, van Hees VT, Shipley MJ, Trenell MI, Hagger-Johnson G, Elbaz , Kivimaki M, Singh-Manoux . Association questionnaire- accelerometer-assessed physical activity: role sociodemographic factors. J Epidemiol. 2014 Mar 15;179(6):781-90. doi: 10.1093/aje/kwt330. Epub 2014 Feb 4. PMID: 24500862 link used auto-calibration functionality also cite: van Hees VT, Fang Z, et al. Auto-calibration accelerometer data free-living physical activity assessment using local gravity temperature: evaluation four continents. J Appl Physiol 2014. link used sleep detection also cite: van Hees VT, Sabia S, et al. novel, open access method assess sleep duration using wrist-worn accelerometer, PLoS ONE, 2015 link used sleep detection without relying sleep diary also cite: van Hees VT, Sabia S, et al. Estimating sleep parameters using accelerometer without sleep diary. Scientific Reports 2018. doi: 10.1038/s41598-018-31266-z. link used sleep regularity index also cite: Andrew J. K. Phillips, William M. Clerx, et al. Irregular sleep/wake patterns associated poorer academic performance delayed circadian sleep/wake timing. Scientific Reports. 2017 June 12 link.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"copyright-for-ggir-logo","dir":"Articles","previous_headings":"Citing GGIR","what":"Copyright for GGIR logo","title":"Accelerometer data processing with GGIR","text":"copyright GGIR logo lies Accelting (Almere, Netherlands), please contact v.vanhees@acceleting.com ask permission use logo.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"ggir-part-1","dir":"Articles","previous_headings":"","what":"GGIR Part 1","title":"GGIR output","text":"GGIR part 1, outputs RData files used GGIR part 2. RData files intended direct use GGIR user.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"ggir-part-2","dir":"Articles","previous_headings":"","what":"GGIR Part 2","title":"GGIR output","text":"Part 2 generates following output: part2_summary.csv: Person level summary (see ) part2_daysummary.csv: Day level summary (see ) QC/data_quality_report.csv: Overview calibration results whether file corrupt short processed, QC/plots check data quality 1.pdf: pdf visualisation acceleration time series 15 minute resolution invalid data segments highlighted colours (yellow: non-wear based standard deviation threshold, brown: non-wear extra filtering step (introduced 2013), purple: clipping)","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"day-level-summary-csv","dir":"Articles","previous_headings":"GGIR Part 2","what":"Day level summary (csv)","title":"GGIR output","text":"non-exhaustive list, concepts explained summary.csv","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"data_quality_report-csv","dir":"Articles","previous_headings":"GGIR Part 2","what":"Data_quality_report (csv)","title":"GGIR output","text":"data_quality_report.csv stored subfolder folder results/QC.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"ggir-part-3","dir":"Articles","previous_headings":"","what":"GGIR Part 3","title":"GGIR output","text":"GGIR part 3, outputs RData files used GGIR part 4 5. RData files intended direct use GGIR user.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"ggir-part-4","dir":"Articles","previous_headings":"","what":"GGIR Part 4","title":"GGIR output","text":"Part 4 generates following output:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"night-level-summaries-csv","dir":"Articles","previous_headings":"GGIR Part 4","what":"Night level summaries (csv)","title":"GGIR output","text":"part4_nightsummary_sleep_cleaned.csv QC/part4_nightsummary_sleep_full.csv latter ‘_full’ name intended aid clarifying nights () excluded cleaned summary report. Although, nights accelerometer worn excluded . , 30 day recording accelerometer worn day 7 onward find last 22 nights either csv-report. csv. files contain variables shown . Non-default variables part 4 csv report additional stored used sleeplog captures time bed, using guider HorAngle hip-worn accelerometer data. either applies set argument sleepwindowType “TimeInBed”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"person-level-summaries-csv","dir":"Articles","previous_headings":"GGIR Part 4","what":"Person level summaries (csv)","title":"GGIR output","text":"part4_summary_sleep_cleaned.csv QC/part4_summary_sleep_full.csv person level report variables derived variables night level summary. Minor extensions variable names explain variables aggregated across days. Please find extra clarification variable names meaning may obvious:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"visualisation-pdf","dir":"Articles","previous_headings":"GGIR Part 4","what":"Visualisation (pdf)","title":"GGIR output","text":"Visualisation support data quality checks: - visualisation_sleep.pdf (optional) input argument .visual set TRUE GGIR can show following visual comparison time window asleep (bed) according sleeplog detected sustained inactivity bouts according accelerometer data. visualisation stored results folder visualisation_sleep.pdf. Explanation image: line represents one night. Colours used distinguish definitions sustained inactivity bouts (2 definitions case) indicate existence absence overlap sleeplog. argument outliers.set FALSE visualise available nights dataset. outliers.set TRUE visualise nights difference onset waking time sleeplog sustained inactivity bouts larger value argument criterror. visualisation outliers.set TRUE critererror set 4 powerful identify entry errors sleeplog data van Hees et al PLoSONE 2015. 25 thousand nights data, visualisation allowed us quickly zoom problematic nights investigate possible mistakes GGIR mistakes data entry.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"ggir-part-5","dir":"Articles","previous_headings":"","what":"GGIR Part 5","title":"GGIR output","text":"output part 5 dependent parameter configuration, generate many output files unique combination three thresholds provided. example, following files generated threshold configuration 30 light activity, 100 moderate 400 vigorous activity: part5_daysummary_MM_L30M100V400_T5A5.csv part5_daysummary_WW_L30M100V400_T5A5.csv part5_personsummary_MM_L30M100V400_T5A5.csv part5_personsummary_WW_L30M100V400_T5A5.csv file summary reports/Report_nameofdatafile.pdf","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"day-level-summary-csv-1","dir":"Articles","previous_headings":"GGIR Part 5","what":"Day level summary (csv)","title":"GGIR output","text":"Special note working compositional data analysis: duration dur_ variables _total_ name add total length waking hours day. Similarly, duration dur_ variables excluding variables _total_ name excluding variable dur_day_min, dur_spt_min, dur_day_spt_min also add length full day. Motivation default boutcriter.= 0.9: idea allow bouts 30 minutes make sense allow breaks 20 percent (6 minutes!) used stringent criteria highest category. Please note can change criteria via arguments boutcriter.mvpa, boutcriter., boutcriter.lig.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"person-level-summary-csv-1","dir":"Articles","previous_headings":"GGIR Part 5","what":"Person level summary (csv)","title":"GGIR output","text":"variables person level summary derived day level summary, extended _pla indicate variable calculated plain average across valid days. Variables extended _wei represent weighted average across days weekend days always weighted 2/5 relative contribution week days.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"default-argument-values","dir":"Articles","previous_headings":"","what":"Arguments/parameters description","title":"GGIR configuration parameters","text":"information shown auto-generated identical information provided GGIR package pdf manual.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"mode","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"mode","title":"GGIR configuration parameters","text":"Numeric (default = 1:5). Specify five parts need run, e.g., mode = 1 makes g.part1 run; mode = 1:5 makes whole GGIR pipeline run, g.part1 g.part5. Optionally mode can also include number 6 tell GGIR run g.part6 currently development.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"datadir","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"datadir","title":"GGIR configuration parameters","text":"Character (default = c()). Directory accelerometer files stored, e.g., “C:/mydata”, list accelerometer filenames directories, e.g. c(“C:/mydata/myfile1.bin”, “C:/mydata/myfile2.bin”).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"outputdir","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"outputdir","title":"GGIR configuration parameters","text":"Character (default = c()). Directory output needs stored. Note function attempt create folders directory uses folder keep output.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"studyname","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"studyname","title":"GGIR configuration parameters","text":"Character (default = c()). datadir folder, study given name data directory. datadir list filenames studyname specified input argument used name study.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"f0","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"f0","title":"GGIR configuration parameters","text":"Numeric (default = 1). File index start (default = 1). Index refers filenames sorted alphabetical order.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"f1","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"f1","title":"GGIR configuration parameters","text":"Numeric (default = 0). File index finish (defaults number files available).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-report","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"do.report","title":"GGIR configuration parameters","text":"Numeric (default = c(2, 4, 5, 6)). parts generate summary spreadsheet: 2, 4, 5, /6. Default c(2, 4, 5, 6). report generated based available milestone data. creating milestone data multiple machines advisable turn report generation generating milestone data, value = c(), merge milestone data turn report generation back setting overwrite FALSE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"configfile","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"configfile","title":"GGIR configuration parameters","text":"Character (default = c()). Configuration file previously generated function GGIR. See details.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"myfun","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"myfun","title":"GGIR configuration parameters","text":"List (default = c()). External function object applied raw data. See package vignette detailed tutorial examples use function embedding: https://cran.r-project.org/package=GGIR/vignettes/ExternalFunction.html","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"overwrite","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"overwrite","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). want overwrite analysis milestone data exists? overwrite = FALSE, milestone data previous analysis used available visual reports created .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"acc-metric","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"acc.metric","title":"GGIR configuration parameters","text":"Character (default = “ENMO”). one acceleration metrics want use acceleration magnitude analyses GGIR part 5 visual report? example: “ENMO”, “LFENMO”, “MAD”, “NeishabouriCount_y”, “NeishabouriCount_vm”. one acceleration metric can specified selected metric needs calculated part 1 (see g.part1) via arguments .enmo = TRUE .mad = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"maxncores","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"maxNcores","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Maximum number cores use argument .parallel set true. GGIR default uses either maximum number available cores number files process (whichever lower), argument allows set lower maximum.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"print-filename","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"print.filename","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). Whether print filename analysing (case .parallel = FALSE). Printing filename can useful investigate problems (e.g., verify file read).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-parallel","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"do.parallel","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). Whether use multi-core processing (works least 4 CPU cores available).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"windowsizes","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"windowsizes","title":"GGIR configuration parameters","text":"Numeric vector, three values (default = c(5, 900, 3600)). indicate lengths windows c(window1, window2, window3): window1 short epoch length seconds, default 5, time window acceleration angle metrics calculated; window2 long epoch length seconds non-wear signal clipping defined, default 900 (expected multitude 60 seconds); window3 window length data used non-wear detection default 3600 seconds. , window3 larger window2 use overlapping windows, window2 equals window3 non-wear periods assessed non-overlapping windows.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"desiredtz","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"desiredtz","title":"GGIR configuration parameters","text":"Character (default = ““, .e., system timezone). Timezone device configured experiments took place. experiments took place different timezone, use argument timezone experiments took place argument configtz specify device configured. Use ”TZ identifier” specified ://en.wikipedia.org/wiki/Zone.tabhttps://en.wikipedia.org/wiki/Zone.tab set desiredtz, e.g., “Europe/London”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"configtz","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"configtz","title":"GGIR configuration parameters","text":"Character (default = ““, .e., system timezone). moment functional GENEActiv .bin, AX3 cwa, ActiGraph .gt3x, ad-hoc csv file format. Timezone accelerometer configured. use argument timezone configuration timezone recording took place different. Use ”TZ identifier” specified ://en.wikipedia.org/wiki/Zone.tabhttps://en.wikipedia.org/wiki/Zone.tab set configtz, e.g., “Europe/London”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"idloc","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"idloc","title":"GGIR configuration parameters","text":"Numeric (default = 1). idloc = 1 code assumes ID number stored obvious header field. Note ActiGraph data ID never stored file header. value set 2, 5, 6, 7, GGIR looks filename extracts character string preceding first occurance “_” (idloc = 2), ” ” (space, idloc = 5), “.” (dot, idloc = 6), “-” (idloc = 7), respectively. may noticed idloc 3 4 skipped, used one study 2012, actively maintained anymore, legacy code omitted.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dayborder","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"dayborder","title":"GGIR configuration parameters","text":"Numeric (default = 0). Hour days start end (dayborder = 4 mean 4 ).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part5_agg2_60seconds","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"part5_agg2_60seconds","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). Whether use aggregate epochs 60 seconds part GGIR g.part5 analysis. Aggregation doen averaging. Note working count metrics Neishabouri counts means threshold can stay part 2, threshold expressed relative original epoch size, even averaged per minute. example want use cut-point 100 count per minute specify mvpathreshold = 100 * (5/60) well `threshold.mod = 100 * (5/60) regardless whether set part5_agg2_60seconds TRUE FALSE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sensor-location","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"sensor.location","title":"GGIR configuration parameters","text":"Character (default = “wrist”). indicate sensor location, default wrist. hip, HDCZA algorithm sleep detection also requires longitudinal axis sensor -45 +45 degrees.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"expand_tail_max_hours","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"expand_tail_max_hours","title":"GGIR configuration parameters","text":"Numeric (default = NULL). parameter replaced recordingEndSleepHour.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"recordingendsleephour","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"recordingEndSleepHour","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Time (hours) recording end (later) expand g.part1 output synthetic data trigger sleep detection last night. Using argument recordingEndSleepHour implies assumption participant fell asleep end recording recording ended recordingEndSleepHour hour last day. assumption may always hold true used caution. synthetic data metashort entails: timestamps continuing regularly, zeros acceleration metrics EN, one EN. Angle columns created way triggers sleep detection using equation: round(sin((1:length_expansion) / (900/epochsize))) * 15. keep track tail expansion g.part1 stores length expansion RData files, passed via g.part2, g.part3, g.part4 g.part5. g.part5 tail expansion size included additional variable csv-reports. g.part4 csv-report last night omitted, know sleep estimates last night trustworthy. Similarly, g.part5 output columns related sleep assessment omitted last window avoid biasing averages. , synthetic data also ignored visualizations time series output avoid biased output.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dataformat","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"dataFormat","title":"GGIR configuration parameters","text":"Character (default = “raw”). indicate format data datadir. Alternatives: ukbiobank_csv, actiwatch_csv, actiwatch_awd, actigraph_csv, sensewear_xls, correspond epoch level data files , respecitively, UK Biobank csv format, Actiwatch csv format, Actiwatch awd format, ActiGraph csv format, Sensewear xls format (also works xlsx). , assumed epoch size UK Biobank csvdata 5 seconds. epoch size non-raw data formats flexible, make sure set first value argument windowsizes accordingly. Also working non-raw data formats specify argument extEpochData_timeformat documented . ukbiobank_csv nonwear column data , actiwatch_csv, actiwatch_awd, actigraph_csv, sensewear_xls non-wear detected 60 minute rolling zeros. length window can modified third value argument windowsizes expressed seconds.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"maxrecordinginterval","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"maxRecordingInterval","title":"GGIR configuration parameters","text":"Numeric (default = NULL). indicate maximum gap hours repeated measurements ID recordings appended. , assumption ID can matched, make sure argument idloc set correctly. argument maxRecordingInterval set NULL (default) recordings appended. recordings overlap GGIR use data latest recording. recordings separated timegap recordings filled data points resemble monitor worn. maximum value maxFile gap 504 (21 days). recordings accelerometer brand appended. part 2 csv report show number appended recordings, sampling rate , time overlap gap names filenames respective recording.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"extepochdata_timeformat","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"extEpochData_timeformat","title":"GGIR configuration parameters","text":"Character (default = “%d-%m-%Y %H:%M:%S”). specify time format used external epoch level data argument dataFormat set “actiwatch_csv”, “actiwatch_awd”, “actigraph_csv” “sensewear_xls”. example “%Y-%m-%d %:%M:%S %p” “2023-07-11 01:24:01 PM” “%m/%d/%Y %H:%M:%S” “2023-07-11 13:24:01”","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"chunksize","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"chunksize","title":"GGIR configuration parameters","text":"Numeric (default = 1). Value specify size chunks loaded fraction approximately 12 hour period auto-calibration procedure fraction 24 hour period metric calculation, e.g., 0.5 equals 6 12 hour chunks, respectively. machines less 4Gb RAM memory < 2GB memory per process using .parallel = TRUE value 1 recommended. value constrained GGIR lower 0.05. Please note setting 0.05 produce output 3rd value parameter windowsizes 3600.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"spherecrit","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"spherecrit","title":"GGIR configuration parameters","text":"Numeric (default = 0.3). minimum required acceleration value (g) sides 0 g axis. Used judge whether sphere sufficiently populated","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"minloadcrit","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"minloadcrit","title":"GGIR configuration parameters","text":"Numeric (default = 168). minimum number hours code needs read autocalibration procedure effective (sensitive multitudes 12 hrs, values ceiled). loading hours extra data loaded calibration error reduced 0.01 g.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"printsummary","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"printsummary","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE print summary calibration procedure console done.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-cal","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"do.cal","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). Whether apply auto-calibration g.calibrate. Recommended setting TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"backup-cal-coef","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"backup.cal.coef","title":"GGIR configuration parameters","text":"Character (default = “retrieve”). Option use backed-calibration coefficient instead deriving calibration coefficients analysing file twice. Argument backup.cal.coef two usecase. Use case 1: auto-calibration fails user option provide back-calibration coefficients via argument. value argument needs name directory csv-spreadsheet following column names subsequent values: “filename” names accelerometer files calibration coefficients need applied case auto-calibration fails; “scale.x”, “scale.y”, “scale.z” scaling coefficients; “offset.x”, “offset.y”, “offset.z” offset coefficients, ; “temperature.offset.x”, “temperature.offset.y”, “temperature.offset.z” temperature offset coefficients. can useful analysing short lasting laboratory experiments insufficient sphere data perform auto-calibration, calibration coefficients can derived alternative way. users responsibility compile csv-spreadsheet. Instead building file user can also Use case 2: user wants avoid performing auto-calibration repeatedly file. backup.cal.coef value set “retrieve” (default) GGIR look “data_quality_report.csv” file outputfolder QC, holds previously generated calibration coefficients. want happen, deleted data_quality_report.csv QC folder set value “redo”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dynrange","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"dynrange","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Provide dynamic range 8 gravity.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"minimumfilesizemb","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"minimumFileSizeMB","title":"GGIR configuration parameters","text":"Numeric (default = 2). Minimum File size MB required enter processing. argument can help avoid short uninformative files enter analyses. Given typical accelerometer collects several MBs per hour, default setting skip tiny files.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-dec","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.dec","title":"GGIR configuration parameters","text":"Character (default = “.”). Decimal used numbers, dec argument [utils]read.csv [data.table]fread.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-firstrow-acc","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.firstrow.acc","title":"GGIR configuration parameters","text":"Numeric (default = NULL). First row (number) acceleration data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-firstrow-header","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.firstrow.header","title":"GGIR configuration parameters","text":"Numeric (default = NULL). First row (number) header. Leave blank file header.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-header-length","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.header.length","title":"GGIR configuration parameters","text":"Numeric (default = NULL). file header, specify header length (number rows).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-col-acc","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.col.acc","title":"GGIR configuration parameters","text":"Numeric, three values (default = c(1, 2, 3)). Vector three column (numbers) acceleration signals stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-col-temp","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.col.temp","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Scalar column (number) temperature stored. Leave default setting temperature available. temperature used g.calibrate.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-col-time","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.col.time","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Scalar column (number) timestamps stored. Leave default setting timestamps stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-unit-acc","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.unit.acc","title":"GGIR configuration parameters","text":"Character (default = “g”). Character unit acceleration values: “g”, “mg”, “bit”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-unit-temp","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.unit.temp","title":"GGIR configuration parameters","text":"Character (default = “C”). Character unit temperature values: (K)elvin, (C)elsius, (F)ahrenheit.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-unit-time","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.unit.time","title":"GGIR configuration parameters","text":"Character (default = “POSIX”). Character unit timestamps: “POSIX”, “UNIXsec” (seconds since origin, see argument rmc.origin), “UNIXmsec” (UNIXsec milliseconds), “character”, “ActivPAL” (exotic timestamp format used ActivPAL activity monitor).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-format-time","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.format.time","title":"GGIR configuration parameters","text":"Character (default = “%Y-%m-%d %H:%M:%OS”). Character giving date-time format used [base]strptime. used rmc.unit.time: character POSIX.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-bitrate","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.bitrate","title":"GGIR configuration parameters","text":"Numeric (default = NULL). unit acceleration bit provide bit rate, e.g., 12 bit.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-dynamic_range","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.dynamic_range","title":"GGIR configuration parameters","text":"Numeric character (default = NULL). unit acceleration bit provide dynamic range deviation g zero, e.g., +/-6g mean argument needs 6. give argument character value code search file header elements name equal character value use corresponding numeric value next dynamic range.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-unsignedbit","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.unsignedbit","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). unsignedbit = TRUE means bits positive numbers. unsignedbit = FALSE bits positive negative.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-origin","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.origin","title":"GGIR configuration parameters","text":"Character (default = “1970-01-01”). Origin time unit time UNIXsec, e.g., 1970-1-1.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-desiredtz","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.desiredtz","title":"GGIR configuration parameters","text":"Character (default = NULL). Timezone experiments took place. argument scheduled deprecated now used overwrite desiredtz provided.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-configtz","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.configtz","title":"GGIR configuration parameters","text":"Character (default = NULL). Timezone device configured. argument scheduled deprecated now used overwrite configtz provided.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-sf","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.sf","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Sample rate Hertz, stored file header used instead (see argument rmc.headername.sf).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-headername-sf","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.headername.sf","title":"GGIR configuration parameters","text":"Character (default = NULL). file header: Row name sample frequency can found.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-headername-sn","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.headername.sn","title":"GGIR configuration parameters","text":"Character (default = NULL). file header: Row name serial number can found.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-headername-recordingid","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.headername.recordingid","title":"GGIR configuration parameters","text":"Character (default = NULL). file header: Row name recording ID can found.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-header-structure","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.header.structure","title":"GGIR configuration parameters","text":"Character (default = NULL). Used split header name header value, e.g., “:” ” “.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-check4timegaps","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.check4timegaps","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). indicate whether gaps time imputed zeros. sensing equipment provides accelerometer gaps time. rest GGIR designed , setting argument TRUE gaps time filled zeros.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-noise","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.noise","title":"GGIR configuration parameters","text":"Numeric (default = 13). Noise level acceleration signal m-units, used working ad-hoc .csv data formats using read.myacc.csv. read.myacc.csv take rmc.noise argument, interacting GGIR g.part1 rmc.noise used.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nonwear_range_threshold","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"nonwear_range_threshold","title":"GGIR configuration parameters","text":"Numeric (default 150) used define maximum value range per axis non-wear detection, used combination brand specific standard deviation per axis.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-col-wear","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.col.wear","title":"GGIR configuration parameters","text":"Numeric (default = NULL). external wear detection outcome stored part data can used GGIR. argument specifies column wear detection (Boolean) stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-doresample","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.doresample","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). indicate whether resample data based available timestamps extracted sample rate file header.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"interpolationtype","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"interpolationType","title":"GGIR configuration parameters","text":"Integer (default = 1). indicate type interpolation used resampling time series (mainly relevant Axivity sensors), 1=linear, 2=nearest neighbour.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"imputetimegaps","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"imputeTimegaps","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). indicate whether timegaps larger 1 sample imputed. Currently used .gt3x data ActiGraph .csv format, timegaps can expected result Actigraph’s idle sleep.mode configuration.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"frequency_tol","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"frequency_tol","title":"GGIR configuration parameters","text":"Number (default = 0.1) passed readAxivity GGIRread package. Represents frequency tolerance fraction 0 1. relative bias per data block larger fraction data block imputed lack movement gravitational oriationed guessed recent valid data block. applicable Axivity .cwa data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-scalefactor-acc","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.scalefactor.acc","title":"GGIR configuration parameters","text":"Numeric value (default 1) scale acceleration signals via multiplication. example, data provided m/s2 setting 1/9.81 derive gravitational units.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-anglex","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.anglex","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates angle X axis relative horizontal: = (^-1_rollmedian(x)(acc_rollmedian(y))^2 + (acc_rollmedian(z))^2) * 180/","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-angley","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.angley","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates angle Y axis relative horizontal: = (^-1_rollmedian(y)(acc_rollmedian(x))^2 + (acc_rollmedian(z))^2) * 180/","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-anglez","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.anglez","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE, calculates angle Z axis relative horizontal: = (^-1_rollmedian(z)(acc_rollmedian(x))^2 + (acc_rollmedian(y))^2) * 180/","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-zcx","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.zcx","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric zero-crossing count x-axis. computation specifics see source code function g.applymetrics","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-zcy","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.zcy","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric zero-crossing count y-axis. computation specifics see source code function g.applymetrics","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-zcz","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.zcz","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric zero-crossing count z-axis. computation specifics see source code function g.applymetrics","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-enmo","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.enmo","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE, calculates metric: = _x^2 + acc_y^2 + acc_z^2 - 1 (ENMO < 0, ENMO = 0).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-lfenmo","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.lfenmo","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric ENMO low-pass filtered accelerations (computation specifics see source code function g.applymetrics). filter bound defined parameter hb.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-en","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.en","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates Euclidean Norm raw accelerations: = _x^2 + acc_y^2 + acc_z^2","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-mad","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.mad","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates Mean Amplitude Deviation: = 1n|r_i - |","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-enmoa","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.enmoa","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric: = _x^2 + acc_y^2 + acc_z^2 - 1 (ENMOa < 0, ENMOa = |ENMOa|).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-roll_med_acc_x","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.roll_med_acc_x","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-roll_med_acc_y","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.roll_med_acc_y","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-roll_med_acc_z","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.roll_med_acc_z","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-dev_roll_med_acc_x","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.dev_roll_med_acc_x","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-dev_roll_med_acc_y","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.dev_roll_med_acc_y","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-dev_roll_med_acc_z","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.dev_roll_med_acc_z","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-bfen","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.bfen","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-hfen","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.hfen","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-hfenplus","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.hfenplus","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-lfen","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.lfen","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-lfx","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.lfx","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-lfy","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.lfy","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-lfz","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.lfz","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-hfx","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.hfx","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-hfy","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.hfy","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-hfz","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.hfz","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-bfx","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.bfx","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-bfy","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.bfy","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-bfz","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.bfz","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-brondcounts","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.brondcounts","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). option deprecated (October 2022) due issues activityCounts package used dependency. TRUE, calculated metric via R package activityCounts. called BrondCounts large number activity counts physical activity sleep research field. calling brondcounts clarify counts proposed Jan Brønd implemented R Ruben Brondeel. brondcounts intended imitation counts produced one closed source ActiLife software ActiGraph.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-neishabouricounts","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.neishabouricounts","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric via R package actilifecounts, implementation algorithm used closed-source software ActiLife ActiGraph (methods published doi: 10.1038/s41598-022-16003-x). use name first author (instead ActiLifeCounts) paper call NeishabouriCount uncertainty ActiLife implement algorithm time. use Neishabouri counts physical activity intensity classification part 5 (.e., metric threshold.lig, threshold.mod, threshold.vig applied), acc.metric argument needs set one following: “NeishabouriCount_x”, “NeishabouriCount_y”, “NeishabouriCount_z”, “NeishabouriCount_vm” use counts x-, y-, z-axis vector magnitude, respectively.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"hb","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"hb","title":"GGIR configuration parameters","text":"Numeric (default = 15). Higher boundary frequency filter (Hertz) used filter-based metrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"lb","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"lb","title":"GGIR configuration parameters","text":"Numeric (default = 0.2). Lower boundary frequency filter (Hertz) used filter-based metrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"n","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"n","title":"GGIR configuration parameters","text":"Numeric (default = n). Order frequency filter used filter-based metrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"zc-lb","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"zc.lb","title":"GGIR configuration parameters","text":"Numeric (default = 0.25). Used zero-crossing counts . Lower boundary cut-frequency filter.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"zc-hb","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"zc.hb","title":"GGIR configuration parameters","text":"Numeric (default = 3). Used zero-crossing counts . Higher boundary cut-frequencies filter.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"zc-sb","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"zc.sb","title":"GGIR configuration parameters","text":"Numeric (default = 0.01). Stop band used calculation zero crossing counts. Value acceleration threshold g units acceleration rounded zero.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"zc-order","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"zc.order","title":"GGIR configuration parameters","text":"Numeric (default = 2). Used zero-crossing counts . Order frequency filter.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"zc-scale","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"zc.scale","title":"GGIR configuration parameters","text":"Numeric (default = 1) Used zero-crossing counts . Scaling factor applied counts calculated (GGIR part 3).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"actilife_lfe","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"actilife_LFE","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates NeishabouriCount metric low-frequency extension filter proposed closed source ActiLife software ActiGraph. applicable metric NeishabouriCount.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"includedaycrit","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"includedaycrit","title":"GGIR configuration parameters","text":"Numeric (default = 16). Minimum required number valid hours calendar day specific analysis part 2. specify two values c(16, 16) first value used part 2 second value used part 5 applied criterion full part 5 window. Note applied addition parameter includedaycrit.part5 looks valid data waking hours.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ndayswindow","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"ndayswindow","title":"GGIR configuration parameters","text":"Numeric (default = 7). data_masking_strategy set 3 5, size window number days. data_masking_strategy 3 value can fractional, e.g. 7.5, data_masking_strategy 5 needs integer.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"strategy","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"strategy","title":"GGIR configuration parameters","text":"Deprecated replaced data_masking_strategy. strategy specified value passed used data_masking_strategy.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"data_masking_strategy","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"data_masking_strategy","title":"GGIR configuration parameters","text":"Numeric (default = 1). deal knowledge study protocol. data_masking_strategy = 1 means select data based hrs.del.start hrs.del.end. data_masking_strategy = 2 makes data first midnight last midnight used. data_masking_strategy = 3 selects active X days file X specified argument ndayswindow, days series 24-h blocks starting time day (X hours beginning end period can deleted arguments hrs.del.start hrs.del.end) data_masking_strategy = 4 use data first midnight. data_masking_strategy = 5 similar data_masking_strategy = 3, selects X complete calendar days X specified argument ndayswindow (X hours beginning end period can deleted arguments hrs.del.start hrs.del.end).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"maxdur","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"maxdur","title":"GGIR configuration parameters","text":"Numeric (default = 0). many DAYS start experiment experiment definitely stop? (set zero unknown).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"hrs-del-start","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"hrs.del.start","title":"GGIR configuration parameters","text":"Numeric (default = 0). many HOURS start experiment wearing monitor start? Used GGIR g.part2 data_masking_strategy = 1.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"hrs-del-end","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"hrs.del.end","title":"GGIR configuration parameters","text":"Numeric (default = 0). many HOURS end experiment wearing monitor definitely end? Used GGIR g.part2 data_masking_strategy = 1.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"includedaycrit-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"includedaycrit.part5","title":"GGIR configuration parameters","text":"Numeric (default = 2/3). Inclusion criteria used part 5 number valid hours waking hours day, value smaller equal 1 used fraction waking hours, value 1 used absolute number valid hours required. confuse argument argument includedaycrit used GGIR part 2 applies entire day.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"excludefirstlast-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"excludefirstlast.part5","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE first last window (waking-waking, midnight-midnight, sleep onset-onset) ignored g.part5.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"timesegments2zerofile","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"TimeSegments2ZeroFile","title":"GGIR configuration parameters","text":"Character (default = NULL). Takes path csv file columns “windowstart” “windowend” refer start end time time windows format “2024-10-12 20:00:00”, “filename” GGIR milestone data file without “meta_” segment name. GGIR part 2 uses set acceleration values zero non-wear classification zero (meaning sensor worn). Motivation: accelerometer worn night GGIR automatically labels invalid, user may like treat zero movement. Disclaimer: functionality developed 2019. hindsight generic enough need revision. Please contact GGIR maintainers like us invest time improving functionality.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-imp","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"do.imp","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). Whether impute missing values (e.g., suspected monitor non-wear clippling) g.impute GGIR g.part2. Recommended setting TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"data_cleaning_file","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"data_cleaning_file","title":"GGIR configuration parameters","text":"Character (default = NULL). Optional path csv file create holds four columns: ID, day_part5, relyonguider_part4, night_part4. ID hold participant ID. Columns day_part5 night_part4 allow specify day(s) night(s) need excluded g.part5 g.part4, respectively. including multiple day(s)/night(s) create new line day/night. , done regardless whether rest GGIR thinks day(s)/night(s) valid. Column relyonguider_part4 allows specify nights g.part4 fully rely guider. See also package vignette.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"minimum_mm_length-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"minimum_MM_length.part5","title":"GGIR configuration parameters","text":"Numeric (default = 23). Minimum length hours MM day included cleaned g.part5 results.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"excludefirstlast","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"excludefirstlast","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE first last night measurement ignored sleep assessment g.part4.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"includenightcrit","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"includenightcrit","title":"GGIR configuration parameters","text":"Numeric (default = 16). Minimum number valid hours per night (24 hour window noon noon), used sleep assessment g.part4.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"excludefirst-part4","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"excludefirst.part4","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE first night measurement ignored sleep assessment g.part4.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"excludelast-part4","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"excludelast.part4","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE last night measurement ignored sleep assessment g.part4.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"max_calendar_days","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"max_calendar_days","title":"GGIR configuration parameters","text":"Numeric (default = 0). maximum number calendar days include (set zero unknown).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nonwearedgecorrection","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"nonWearEdgeCorrection","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE non-wear detection around edges recording (first last 3 hours) corrected following description vanHees2013 default since . functionality advisable working sleep clinic exercise lab data typically lasting less day.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nonwear_approach","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"nonwear_approach","title":"GGIR configuration parameters","text":"Character (default = “2023”). Whether use traditional version non-wear detection algorithm (nonwear_approach = “2013”) new version (nonwear_approach = “2023”). 2013 version use longsize window (windowsizes[3], one hour default) check conditions nonwear identification flag nonwear mediumsize window (windowsizes[2], 15 min default) middle. 2023 version differs flag nonwear full longsize window. 2013 method longsize window centered centre mediumsize window, 2023 method longsizewindow aligned left edge left edge mediumsize window.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"segmentwearcrit-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"segmentWEARcrit.part5","title":"GGIR configuration parameters","text":"Numeric (default = 0.5). Fraction qwindow segment expected valid part 5, 0.3 indicates least 30 percent time valid.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"segmentdaysptcrit-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"segmentDAYSPTcrit.part5","title":"GGIR configuration parameters","text":"Numeric vector length 2 (default = c(0.9, 0)). Inclusion criteria proportion segment classified day (awake) spt (sleep period time) considered valid. interested comparing time spent behaviour better set one two numbers 0, defines proportion segment classified day spt, respectively. default setting focus waking hour segments includes segments overlap least 90 percent waking hours. order shift focus SPT use c(0, 0.9) ensures segments overlap least 90 percent SPT included. Setting zero problematic comparing time spent behaviours days individuals: complete segment averaged incomplete segments (someone going bed waking middle segment) longer clear whether person less active sleeps segment. Similarly clear whether person wakefulness SPT segment woke went bed segment.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"study_dates_file","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"study_dates_file","title":"GGIR configuration parameters","text":"Character (default = c()). Full path csv file containing first last date expected wear period every study participant (dates provided per individual). Expected format activity diary : First column headers followed one row per recording. three columns: first column recording ID, needs match ID GGIR extracts accelerometer file; second column contain first date study; third column last date study. Date columns default format “23-04-2017”, date format specified argument study_dates_dateformat (). specified (default), GGIR use first last day recording beginning end study. Note dates used top data_masking_strategy selected.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"study_dates_dateformat","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"study_dates_dateformat","title":"GGIR configuration parameters","text":"Character (default = “%d-%m-%Y”). specify date format used study_dates_file used [base]strptime.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"includecrit-part6","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"includecrit.part6","title":"GGIR configuration parameters","text":"Numeric (default = c(2/3, 2/3)) Vector two minimum fraction valid data required day spt time, respectively. criteria used circadian rhythm analysis.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"includenightcrit-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"includenightcrit.part5","title":"GGIR configuration parameters","text":"Numeric (default = 0). Inclusion criteria used part 5 number valid hours sleep period hours day (night), value smaller equal 1 used fraction sleep period hours, value 1 used absolute number valid hours required. confuse argument argument includenightcrit used GGIR part 4 applies entire 24 hour window noon noon 6pm 6pm.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"anglethreshold","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"anglethreshold","title":"GGIR configuration parameters","text":"Numeric (default = 5). Angle threshold (degrees) sustained inactivity periods detection. algorithm look periods time (timethreshold) angle variability lower anglethreshold. can specified multiple thresholds, implemented, e.g., anglethreshold = c(5,10).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"timethreshold","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"timethreshold","title":"GGIR configuration parameters","text":"Numeric (default = 5). Time threshold (minutes) sustained inactivity periods detection. algorithm look periods time (timethreshold) angle variability lower anglethreshold. can specified multiple thresholds, implemented, e.g., timethreshold = c(5,10).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ignorenonwear","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"ignorenonwear","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE ignore detected monitor non-wear periods avoid confusion monitor non-wear time sustained inactivity.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"haspt-algo","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"HASPT.algo","title":"GGIR configuration parameters","text":"Character (default = “HDCZA”). indicate algorithm used sleep period time detection. Default “HDCZA” Heuristic algorithm looking Distribution Change Z-Angle described van Hees et al. 2018. options included: “HorAngle”, based HDCZA replaces non-movement detection HDCZA algorithm looking time segments angle longitudinal sensor axis angle relative horizontal plane -45 +45 degrees. “NotWorn” also HDCZA looks time segments rolling average acceleration magnitude 5 per cent standard deviation, see Cookbook vignette Annexes https://wadpac.github.io/GGIR/ detailed guidance use “NotWorn”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"hasib-algo","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"HASIB.algo","title":"GGIR configuration parameters","text":"Character (default = “vanHees2015”). indicate algorithm used define sustained inactivity bouts (.e., likely sleep). Options: “vanHees2015”, “Sadeh1994”, “Galland2012”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sadeh_axis","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"Sadeh_axis","title":"GGIR configuration parameters","text":"Character (default = “Y”). indicate axis use Sadeh1994 algorithm, algortihms relied count-based Actigraphy Galland2012.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"longitudinal_axis","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"longitudinal_axis","title":"GGIR configuration parameters","text":"Integer (default = NULL). indicate axis longitudinal axis. provided, function estimate longitudinal axis axis highest 24 hour lagged autocorrelation. used sensor.location = “hip” HASPT.algo = “HorAngle”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"haspt-ignore-invalid","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"HASPT.ignore.invalid","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). indicate whether invalid time segments ignored heuristic guiders. FALSE (default), imputed angle activity metric invalid time segments used. TRUE, invalid time segments ignored (.e., contribute guider). NA, invalid time segments considered movement segments can contribute guider. HASPT.algo “NotWorn”, HASPT.ignore.invalid automatically set NA.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"loglocation","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"loglocation","title":"GGIR configuration parameters","text":"Character (default = NULL). Path csv file sleep log information. See package vignette format file.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"colid","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"colid","title":"GGIR configuration parameters","text":"Numeric (default = 1). Column number sleep log spreadsheet participant ID code stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"coln1","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"coln1","title":"GGIR configuration parameters","text":"Numeric (default = 2). Column number sleep log spreadsheet onset first night starts.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nnights","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"nnights","title":"GGIR configuration parameters","text":"Numeric (default = NULL). argument deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"relyonguider","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"relyonguider","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). Sustained inactivity bouts (sib) overlap guider labelled sleep. relyonguider = FALSE sib overlaps partially guider sib defines edge SPT window guider. relyonguider = TRUE sib overlaps partially guider guider defines edge SPT window sib. participants instructed wear accelerometer waking hours ignorenonware=FALSE set relyonguider=TRUE, scenarios set FALSE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"def-noc-sleep","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"def.noc.sleep","title":"GGIR configuration parameters","text":"Numeric (default = 1). time window sustained inactivity assumed represent sleep, e.g., def.noc.sleep = c(21, 9). used sleep log entry available. left blank def.noc.sleep = c() 12 hour window centred least active 5 hours 24 hour period used instead. , L5 hardcoded change changing argument winhr function g.part2. def.noc.sleep filled single integer, e.g., def.noc.sleep=c(1) window detected based built algorithms. See argument HASPT.algo HASPT specifying algorithms use.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sleeplogsep","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"sleeplogsep","title":"GGIR configuration parameters","text":"Character (default = NULL). argument deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sleepwindowtype","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"sleepwindowType","title":"GGIR configuration parameters","text":"Character (default = “SPT”). indicate type information sleeplog, “SPT” sleep period time. Set “TimeInBed” sleep log recorded time bed enable calculation sleep latency sleep efficiency.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"possible_nap_window","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"possible_nap_window","title":"GGIR configuration parameters","text":"Numeric (default = c(9, 18)). Numeric vector length two range clock hours naps assumed take place, e.g., possible_nap_window = c(9, 18). Currently used context explorative nap classification algortihm trained 3.5 year olds.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"possible_nap_dur","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"possible_nap_dur","title":"GGIR configuration parameters","text":"Numeric (default = c(15, 240)). Numeric vector length two range duration (minutes) nap, e.g., possible_nap_dur = c(15, 240). Currently used context explorative nap classification algortihm trained 3.5 year olds.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nap_model","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"nap_model","title":"GGIR configuration parameters","text":"Character (default = NULL). specify classification model. Currently option “hip3yr”, corresponds model trained hip data 3-3.5 olds trained parent diary data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sleepefficiency-metric","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"sleepefficiency.metric","title":"GGIR configuration parameters","text":"Numeric (default = 1). 1 (default), sleep efficiency calculated detected sleep time SPT window divided log-derived time bed. 2, sleep efficiency calculated detected sleep time SPT window divided detected duration sleep period time plus sleep latency (sleep latency refers difference time bed sleep onset). sleepefficiency.metric considered argument sleepwindowType = “TimeInBed”","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"possible_nap_edge_acc","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"possible_nap_edge_acc","title":"GGIR configuration parameters","text":"Numeric (default = Inf). Maximum acceleration SIB nap considered. default allow possible naps.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"hdcza_threshold","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"HDCZA_threshold","title":"GGIR configuration parameters","text":"Numeric (default = c()) HASPT.algo set “HDCZA” HDCZA_threshold NULL, (e.g., HDCZA_threshold = 0.2), value used threshold 6th step diagram Figure 1 van Hees et al. 2018 Scientific Report (doi: 10.1038/s41598-018-31266-z). However, supported research yet intended facilitate methodological research, advise sticking default line publication. , HDCZA_threshold set numeric vector length 2, e.g. c(10, 15), used percentile multiplier mentioned 6th step.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"mvpathreshold","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"mvpathreshold","title":"GGIR configuration parameters","text":"Numeric (default = 100). Acceleration threshold MVPA estimation GGIR g.part2. can single number vector numbers, e.g., mvpathreshold = c(100, 120). latter case code estimate MVPA separately threshold. variable left blank, e.g., mvpathreshold = c(), MVPA estimated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutcriter","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutcriter","title":"GGIR configuration parameters","text":"Numeric (default = 0.8). number 0 1, defines fraction bout needs mvpathreshold, used GGIR g.part2.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"mvpadur","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"mvpadur","title":"GGIR configuration parameters","text":"Numeric (default = 10). bout duration(s) MVPA calculated. used GGIR g.part2.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutcriter-in","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutcriter.in","title":"GGIR configuration parameters","text":"Numeric (default = 0.9). number 0 1, defines fraction bout needs threshold.lig.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutcriter-lig","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutcriter.lig","title":"GGIR configuration parameters","text":"Numeric (default = 0.8). number 0 1, defines fraction bout needs threshold.lig threshold.mod.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutcriter-mvpa","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutcriter.mvpa","title":"GGIR configuration parameters","text":"Numeric (default = 0.8). number 0 1, defines fraction bout needs threshold.mod.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"threshold-lig","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"threshold.lig","title":"GGIR configuration parameters","text":"Numeric (default = 40). g.part5: Threshold light physical activity separate inactivity light. Value can one number vector multiple numbers, e.g., threshold.lig =c(30,40). multiple numbers entered analysis repeated combination threshold values. Threshold applied first metric milestone data, specified .enmo = TRUE applied ENMO.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"threshold-mod","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"threshold.mod","title":"GGIR configuration parameters","text":"Numeric (default = 100). g.part5: Threshold moderate physical activity separate light moderate. Value can one number vector multiple numbers, e.g., threshold.mod = c(100, 120). multiple numbers entered analysis repeated combination threshold values. Threshold applied first metric milestone data, specified .enmo = TRUE applied ENMO.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"threshold-vig","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"threshold.vig","title":"GGIR configuration parameters","text":"Numeric (default = 400). g.part5: Threshold vigorous physical activity separate moderate vigorous. Value can one number vector multiple numbers, e.g., threshold.vig =c(400,500). multiple numbers entered analysis repeated combination threshold values. Threshold applied first metric milestone data, specified .enmo = TRUE applied ENMO.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutdur-mvpa","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutdur.mvpa","title":"GGIR configuration parameters","text":"Numeric (default = c(1, 5, 10)). Duration(s) MVPA bouts minutes extracted. start identification longest shortest duration. default setting, start 10 minute bouts, followed 5 minute bouts rest data, followed 1 minute bouts rest data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutdur-in","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutdur.in","title":"GGIR configuration parameters","text":"Numeric (default = c(10, 20, 30)). Duration(s) inactivity bouts minutes extracted. Inactivity bouts detected segments data labelled sleep MVPA bouts. start identification longest shortest duration. default setting, start identification 30 minute bouts, followed 20 minute bouts rest data, followed 10 minute bouts rest data. Note use term inactivity instead sedentary behaviour lowest intensity level behaviour. reason GGIR attempt classifying activity type sitting moment, feel using term sedentary behaviour fail communicate .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutdur-lig","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutdur.lig","title":"GGIR configuration parameters","text":"Numeric (default = c(1, 5, 10)). Duration(s) light activity bouts minutes extracted. Light activity bouts detected segments data labelled sleep, MVPA, inactivity bouts. start identification longest shortest duration. default setting, start identification 10 minute bouts, followed 5 minute bouts rest data, followed 1 minute bouts rest data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"frag-metrics","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"frag.metrics","title":"GGIR configuration parameters","text":"Character (default = NULL). Fragmentation metric extract. Can “mean”, “TP”, “Gini”, “power”, “CoV”, “NFragPM”, metrics “”. See package vignette description fragmentation metrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part6_threshold_combi","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"part6_threshold_combi","title":"GGIR configuration parameters","text":"Character (default = “40_100_120”) indicate threshold combination derived part 5 used part 6","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"qwindow","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"qwindow","title":"GGIR configuration parameters","text":"Numeric character (default = c(0, 24)). specify windows variables calculated, e.g., acceleration distribution, number valid hours, LXMX analysis, MVPA. numeric, qwindow length two, e.g., qwindow = c(0, 24), variables calculated full 24 hours day. qwindow = c(8, 24) variables calculated window 0-8, 8-24 0-24. days recording segmented based values. want use day specific segmentation day can set qwindow full path activity diary file (character). Expected format activity diary : First column headers followed one row per recording, first column recording ID, needs match ID GGIR extracts accelerometer file. Followed date column format “23-04-2017”, date format specified argument qwindow_dateformat (). Use character combination date, Date DATE column name. followed one multiple columns start times activity types day format hours:minutes:seconds. header column used label activity type. Insert new date column continuing activity types next day. Leave missing values empty. activity log used individuals appear activity log still processed value qwindow = c(0, 24). Dates activity log data can skipped, need column date followed column next date. times activity diary multiple short window size (epoch length), next epoch considered (e.g., epoch 5 seconds, 8:00:02 redefined 8:00:05 activity log). using qwindow functionality combination GGIR part 5 make sure check arguments segmentWEARcrit.part5 segmentDAYSPTcrit.part5 specified research needs.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"qlevels","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"qlevels","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Vector percentiles value needs extracted. need expressed fraction 1, e.g., c(0.1, 0.5, 0.75). limit number percentiles. left empty percentiles extracted. Distribution derived short epoch metric data. Argument qlevels can example used MX-metrics (e.g. Rowlands et al) discussed ://cran.r-project.org/package=GGIR/vignettes/GGIR.htmlmain package vignette","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"qwindow_dateformat","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"qwindow_dateformat","title":"GGIR configuration parameters","text":"Character (default = “%d-%m-%Y”). specify date format used activity log used [base]strptime.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ilevels","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"ilevels","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Levels acceleration value frequency distribution m, e.g., ilevels = c(0,100,200). limit number levels. left empty intensity levels extracted. Distribution derived short epoch metric data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ivis_windowsize_minutes","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"IVIS_windowsize_minutes","title":"GGIR configuration parameters","text":"argument deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ivis_epochsize_seconds","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"IVIS_epochsize_seconds","title":"GGIR configuration parameters","text":"argument deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ivis-activity-metric","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"IVIS.activity.metric","title":"GGIR configuration parameters","text":"argument deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ivis_acc_threshold","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"IVIS_acc_threshold","title":"GGIR configuration parameters","text":"argument deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"qm5l5","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"qM5L5","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Percentiles (quantiles) calculated L5 M5 window.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"mx-ig-min-dur","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"MX.ig.min.dur","title":"GGIR configuration parameters","text":"Numeric (default = 10). Minimum MX duration needed order intensity gradient calculated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"m5l5res","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"M5L5res","title":"GGIR configuration parameters","text":"Numeric (default = 10). Resolution L5 M5 analysis minutes.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"winhr","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"winhr","title":"GGIR configuration parameters","text":"Numeric (default = 5). Vector window size(s) (unit: hours) LX MX analysis, look least active consecutive number X hours.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"iglevels","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"iglevels","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Levels acceleration value frequency distribution mused intensity gradient calculation (according method Rowlands 2018). default argument empty intensity gradient calculation done. user can either provide single value () make intensity gradient use bins iglevels = c(seq(0,4000,=25), 8000) user specify distribution. constriction number levels.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"luxthresholds","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"LUXthresholds","title":"GGIR configuration parameters","text":"Numeric (default = c(0, 100, 500, 1000, 3000, 5000, 10000)). Vector numeric sequence corresponding thresholds used calculate time spent LUX ranges.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"lux_cal_constant","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"LUX_cal_constant","title":"GGIR configuration parameters","text":"Numeric (default = NULL). LUX_cal_constant LUX_cal_exponent provided LUX values converted based formula y = constant * exp(x * exponent)","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"lux_cal_exponent","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"LUX_cal_exponent","title":"GGIR configuration parameters","text":"Numeric (default = NULL). LUX_cal_constant LUX_cal_exponent provided LUX LUX values converted based formula y = constant * exp(x * exponent)","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"lux_day_segments","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"LUX_day_segments","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Vector hours day segmented LUX analysis.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"l5m5window","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"L5M5window","title":"GGIR configuration parameters","text":"Argument deprecated version 1.5-24. argument used define start end time, 24 hour clock hours, L5M5 needs calculated. Now done argument qwindow.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"cosinor","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"cosinor","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). Whether apply cosinor analysis ActCR package part 2. part 6 cosinor analysis applied default turned .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part6cr","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"part6CR","title":"GGIR configuration parameters","text":"Boolean (default = FALSE) indicate whether circadian rhythm analysis run part 6, includes: cosinor analysis, extended cosinor analysis, , IV, phi. Optionally can expanded detrended fluctutation analysis controlled parameter part6DFA.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part6hca","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"part6HCA","title":"GGIR configuration parameters","text":"Boolean (default = FALSE) indicate whether Household Co Analysis run part 6.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part6window","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"part6Window","title":"GGIR configuration parameters","text":"Character vector length two (default = c(“start”, “end”)) indicate start end time series used circadian rhythm analysis part 6. words, parameters used Household co-analysis. Alternative values : “Wx”, “Ox”, “Hx”, “x” number indicat xth wakeup, onset hour recording. Negative values “x” also possible count relative end recording. example, c(“W1”, “W-1”) goes first till last wakeup, c(“H5”, “H-5”) ignores first last 5 hours, c(“O2”, “W10”) goes second onset till 10th wakeup time.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part6dfa","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"part6DFA","title":"GGIR configuration parameters","text":"Boolean (default = FALSE) indicate whether perform Detrended Fluctuation Analysis. Turned default can time consuming.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"epochvalues2csv","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"epochvalues2csv","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). g.part2: TRUE epoch values exported csv file. , non-wear time imputed possible.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"save_ms5rawlevels","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"save_ms5rawlevels","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). g.part5: Whether save time series classification (levels) csv RData files (defined save_ms5raw_format). Note time stamps stored column timenum UTC format (.e., seconds 1970-01-01). convert timenum time stamp format, need specify desired time zone, e.g., .POSIXct(mdat$timenum, tz = “Europe/London”).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"save_ms5raw_format","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"save_ms5raw_format","title":"GGIR configuration parameters","text":"Character (default = “csv”). g.part5: specify data stored: either “csv” “RData”. used save_ms5rawlevels = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"save_ms5raw_without_invalid","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"save_ms5raw_without_invalid","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). g.part5: indicate whether remove invalid days time series output files. used save_ms5rawlevels = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"storefolderstructure","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"storefolderstructure","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). Store folder structure accelerometer data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"timewindow","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"timewindow","title":"GGIR configuration parameters","text":"Character (default = c(“MM”, “WW”)). g.part5: Timewindow summary statistics derived. Value can “MM” (midnight midnight), “WW” (waking time waking time), “OO” (sleep onset sleep onset), combination .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"viewingwindow","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"viewingwindow","title":"GGIR configuration parameters","text":"Numeric (default = 1). Centre day displayed around noon (viewingwindow = 1) around midnight (viewingwindow = 2) visual report generated visualreport = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dofirstpage","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"dofirstpage","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). indicate whether first page histograms summarizing whole measurement added file summary reports generated visualreport = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"visualreport","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"visualreport","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE, generate visual report based combined output g.part2 g.part4. Please note visual report initially developed provide something show study participants data quality checking purposes. time improved visual report also useful QC-ing data. However, scorings shown visual report created visual report may reflect scorings main GGIR analyses reported quantitative csv-reports. effort past 10 years gone making sure csv-report correct, visualreport mostly side project. unfortunate hope find funding future design new report specifically purpose QC-ing analyses done GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"week_weekend_aggregate-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"week_weekend_aggregate.part5","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). g.part5: indicate whether week weekend-days aggregates stored. turned default generates large number extra columns output report.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-part3-pdf","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"do.part3.pdf","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). g.part3: Whether generate pdf g.part3.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"outliers-only","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"outliers.only","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). g.part4: used .visual = TRUE. FALSE, available nights included visual representation data sleeplog. TRUE, nights difference onset waking time larger variable argument criterror included.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"criterror","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"criterror","title":"GGIR configuration parameters","text":"Numeric (default = 3). g.part4: used .visual = TRUE outliers.= TRUE. criterror specifies number minimum number hours difference sleep log accelerometer estimate night included visualisation.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-visual","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"do.visual","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). g.part4: TRUE, function generate pdf visual representation overlap sleeplog entries accelerometer detections. can used visually verify sleeplog entries come obvious mistakes.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-sibreport","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"do.sibreport","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). g.part4: indicate whether generate report sustained inactivity bouts (SIB). set TRUE advanced sleep diary available part 4 part 5 use generate summary statistics overlap self-reported nonwear napping SIB. , SIB can filter based argument possible_nap_edge_acc first value possible_nap_dur","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-part2-pdf","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"do.part2.pdf","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). g.part2: Whether generate pdf g.part2.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sep_reports","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"sep_reports","title":"GGIR configuration parameters","text":"Character (default = “,”). Value used sep argument [data.table]fwrite writing csv reports.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sep_config","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"sep_config","title":"GGIR configuration parameters","text":"Character (default = “,”). Value used sep argument [data.table]fwrite writing csv config file.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dec_reports","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"dec_reports","title":"GGIR configuration parameters","text":"Character (default = “.”). Value used dec argument [data.table]fwrite writing csv reports.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dec_config","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"dec_config","title":"GGIR configuration parameters","text":"Character (default = “.”). Value used dec argument [data.table]fwrite writing csv config file.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"visualreport_without_invalid","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"visualreport_without_invalid","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE, reports generated visualreport = TRUE show windows sufficiently valid data according includedaycrit viewingwindow = 1 includenightcrit viewingwindow = 2","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"require_complete_lastnight_part5","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"require_complete_lastnight_part5","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). set TRUE: last WW window excluded recording ends midnight 3pm, starts date one day recording end date; last OO MM window excluded recording ends midnight 9am, starts date one day recording end date. avoid risk recording end biases sleep estimates last night.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"accelerometer-file-names","dir":"Articles","previous_headings":"","what":"Accelerometer file names","title":"Household Co-Analysis","text":"household co-analysis requires households family member can recognised. assume following logic file names: StudyNumber-HouseholdID-MemberID_anyotherinformation.bin example .bin file, applies .cwa .csv files. example files: 001-002-001_12345-2023.bin 001-002-002_23456-2023.bin 001-002-M_23456-2023.bin recognised household ID 002 member IDs 001, 002, M.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"configuring-ggir","dir":"Articles","previous_headings":"","what":"Configuring GGIR","title":"Household Co-Analysis","text":"following input arguments needed run Household co-analysis: Household co-analysis integrated GGIR part 6, need run GGIR part 1 6, mode = 1:6. windowsizes = c(5, 60, 3600). Setting second value 60 ensures light temperature, available, aggregated per minute. part5_agg2_60seconds = TRUE. ensures GGIR part 5 stores time series 1 minute resolution. part6HCA = TRUE tell GGIR perform Household Co-Analysis. part6_threshold_combi = \"30_100_400\" 30, 100 400 need correspond accelerometer threshold combination used part 5 want use part 6. GGIR part 5 facilitates multiple threshold combinations part 6 need select one. GGIR arguments can set according needs. example:","code":"datadir = \"C:/projects/studyZ/binfiles\" outputdir = \"C:/projects/studyZ\" library(GGIR) GGIR(mode = 1:5,       datadir = datadir,      idloc = 2,       outputdir = outputdir,      do.report = c(2, 4, 5),      do.parallel = TRUE,      overwrite = FALSE,      printsummary = TRUE,      desiredtz = \"America/Halifax\",      windowsizes = c(5, 60, 3600),      threshold.lig = 30,      threshold.mod = 100,      threshold.vig = 400,      part6_threshold_combi = \"30_100_400\",      boutcriter.in = 1, boutcriter.lig = 1,  boutcriter.mvpa = 0.9,      boutdur.in = 30,      boutdur.lig = 10,      boutdur.mvpa = 5,      part6HCA = TRUE,      save_ms5rawlevels = TRUE, # Not necessary because GGIR will set this to TRUE when part6HCA is TRUE.      save_ms5raw_without_invalid = FALSE, # <= Needed for household co-analysis      part5_agg2_60seconds = TRUE,      visualreport = FALSE)"},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"household-co-analysis","dir":"Articles","previous_headings":"","what":"Household co-analysis","title":"Household Co-Analysis","text":"GGIR part 1, 2, 3, 4, 5 recording processed individually without considering relations recordings. Next, part 6 subdivided alligning time series produced part 1 5 per household, pairwise analysis data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"align-individuals","dir":"Articles","previous_headings":"Household co-analysis","what":"Align individuals","title":"Household Co-Analysis","text":"Household members one member ignored. Next, per household per household member code loads merges time series produced GGIR part 1 part 5. Days, defined waking-waking-, removed less 20% valid data waking hours, sleep period time window, day whole. Next, time series completed indicates valid household member pairs time points. Finally, store: aligned time series per household separate csv files GGIR output directory (.../results/part6HouseholdCoAnalysis/alignedTimeseries). columns file documented . pdf file names timeseriesPlot.pdf plots aligned time series facilitate visual inspection data completeness per household.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"pairwise-analysis","dir":"Articles","previous_headings":"Household co-analysis","what":"Pairwise analysis","title":"Household Co-Analysis","text":"Per household identify possible member pairs loop pairs. Per member pair code identify wake-time pairs. , wake-times occur within last 15 minutes time series ignored need least recording time quantify behaviour waking . Per wake-pair assess woke first second, time difference, corresponding calendar dates waking . Next, code quantifies: Activity person first woke minute second person woke Activity second person wake woke LUX person first woke tminute second person woke LUX second person wake woke . Describe matching waking hours pairs: Correlation continuous acceleration values (ENMO metric) Derive binary class inactivity/active (ENMO metric, threshold < 50) ICC based binary scores (irr package, model=twoway, type=agreement, unit=single) Cohen’s Kappa (psych package) Similarity binary scores (calculation line Sleep Regularity Index) Describe noon-noon window stronger focus sleep: Describe binary class sleep/wakefulness (note: attempt classify daytime naps) ICC based binary scores (irr package, model=twoway, type=agreement, unit=single) Cohen’s Kappa (psych package) Similarity binary scores (calculation line Sleep Regularity Index) Describe wakefulness dynamics SPT prior wakeup: Look indices spt prior wakeup individuals SPT. Assess fraction data valid Identify wake times night wake-time: Assess whether persons woke time, person wake within 5 minutes, person wake within 5 minutes. Store output csv one row per unique household pair, columns clarify household members pair household .","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"alignedtimesieres","dir":"Articles","previous_headings":"Output variables","what":"alignedTimesieres","title":"Household Co-Analysis","text":"GGIR output folder .../results/part6HouseholdCoAnalysis/alignedTimeseries find csv files time series per household. data dictionary shows column names get household two members: X Y. columns copied time series output files, documented . Therefore, column documented .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"pairwise-summary-report","dir":"Articles","previous_headings":"Output variables","what":"Pairwise summary report","title":"Household Co-Analysis","text":"stored inside pairwise_summary_all_housholds.csv","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Reading csv files with raw data in GGIR","text":"GGIR can automatically read data -frequently used accelerometer brands field: GENEActiv .bin Axivity AX3 AX6 .wav, .csv .cwa ActiGraph .csv .gt3x (.gt3x newer format generated firmware versions 2.5.0). Note Actigraph users: want work .csv exports via ActiLife note option export data timestamps. Please causes memory issues GGIR. cope absence timestamps GGIR re-caculate timestamps sample frequency start time date presented file header Movisens data stored folders Genea (accelerometer commercially available anymore, used studies 2007 2012) .bin .csv However, accelerometer manufacturers proliferating increasing number brands market. reason, GGIR includes read.myacc.csv function, able read accelerometer raw triaxial data stored csv files, independently brand. vignette provides general introduction use GGIR read accelerometer raw data stored csv files. works: Internally GGIR loads csv files accelerometer data standardises output format make data compatible GGIR functions. Data format standardisation includes unit measurement, timestamp, header format, column locations.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"the-read-myacc-csv-function","dir":"Articles","previous_headings":"","what":"The read.myacc.csv function","title":"Reading csv files with raw data in GGIR","text":"rest GGIR functions, read.myacc.csv intended used within function GGIR. arguments read.myacc.csv can easily recognized start “rmc”. GGIR checks whether argument rmc.firstrow.acc provided user; case, GGIR attempt read data function read.myacc.csv. words always need specify rmc.firstrow.acc use read.myacc.csv. , recommend always first test function argument settings first trying use function read.myacc.csv . works copy arguments GGIR call.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"input-arguments","dir":"Articles","previous_headings":"The read.myacc.csv function","what":"Input arguments","title":"Reading csv files with raw data in GGIR","text":"read.myacc.csv function tries read csv files wide variety formats, key arguments specify depend characteristics csv file process. Overall, argument relevant, left default setting (e.g., csv file contain temperature data, arguments related temperature settings left default values). present summary available input arguments. Please see parameters vignette elaborate description input arguments. , arguments also covered function documentation read.myacc.csv function.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"general-arguments","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"General arguments","title":"Reading csv files with raw data in GGIR","text":"rmc.file - Filename file read working directory, full path file otherwise. rmc.nrow - Number rows read, nrow argument nrows . whole file read default (.e., rmc.nrow = Inf). rmc.skip - Number rows skip, skip argument . rmc.dec - Decimal separator used numbers, dec argument data.table::. “.” (default) usually “,”. rmc.firstrow.acc - First row (number) acceleration data. rmc.unit.acc - Character unit acceleration values: “g”, “mg”, “bit”. desiredtz - Timezone device worn. confgitz - Timezone device configured. rmc.sf - Sample rate Hertz, stored file header used instead.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"header","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments for files containing a header","title":"Reading csv files with raw data in GGIR","text":"rmc.firstrow.header - First row (number) header. Leave blank (default) file header. rmc.header.length - file header, specify header length (numeric). rmc.headername.sf - file header, row name (character) sample frequency can found. rmc.headername.sn - file header, row name (character) serial number can found. rmc.headername.recordingid - file header, row name (character) recording ID can found. rmc.header.structure - Character used split header name header value, e.g. “:” ” “.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"arguments-for-files-including-timestamps","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments for files including timestamps","title":"Reading csv files with raw data in GGIR","text":"rmc.col.time - Scalar column (number) timestamps stored. Leave default setting timestamps stored. rmc.unit.time - Character unit timestamps: “POSIX”, “UNIXsec” (seconds since origin, see argument rmc.origin), “UNIXmsec” (milliseconds since origin, see argument rmc.origin), “character”, “ActivPAL” (exotic timestamp format used ActivPAL activity monitor). rmc.format.time - Character string giving date-time format used . used rmc.unit.time: character POSIX. rmc.origin - Origin time unit time UNIXsec, e.g. 1970-1-1.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"arguments-for-files-with-acceleration-stored-in-bits","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments for files with acceleration stored in bits","title":"Reading csv files with raw data in GGIR","text":"rmc.bitrate - Numeric: unit acceleration bit provide bit rate, e.g. 12 bit. rmc.dynamic_range - Numeric, unit acceleration bit provide dynamic range deviation g zero, e.g. +/-6g mean argument needs 6. give argument character value code search file header elements name equal character value use corresponding numeric value next dynamic range. rmc.unsignedbit - Boolean, unsignedbit = TRUE means bits positive numbers. unsignedbit = FALSE bits positive negative.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"arguments-for-files-including-temperature","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments for files including temperature","title":"Reading csv files with raw data in GGIR","text":"rmc.col.temp - Scalar column (number) temperature stored. Leave default setting temperature avaible. temperature used . rmc.unit.temp - Character unit temperature values: (K)elvin, (C)elsius, (F)ahrenheit.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"arguments-for-files-including-wear-time-information","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments for files including wear time information","title":"Reading csv files with raw data in GGIR","text":"rmc.col.wear - external wear detection outcome stored part data can used GGIR. argument specifies column wear detection (Boolean) stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"arguments-to-find-time-gaps-and-resampling","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments to find time gaps and resampling","title":"Reading csv files with raw data in GGIR","text":"rmc.check4timegaps - Boolean indicate whether gaps time imputed zeros. rmc.doresample - Boolean indicate whether resample data based available timestamps extracted sample rate file header interpolationType - Integer indicate type interpolation used resampling time series (mainly relevant Axivity sensors), 1=linear, 2=nearest neighbour.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"usage-of-the-read-myacc-csv-function","dir":"Articles","previous_headings":"","what":"Usage of the read.myacc.csv function","title":"Reading csv files with raw data in GGIR","text":"section shows example real case read.myacc.csv function can used. csv file read following structure: file contains timestamps column 1 (formatted “%d/%m/%Y %H:%M:%OS”), acceleration signals (g’s) x, y, z axis columns 2, 3, 4, respectively, temperature information Celsius column 5. Also, file header. can use GGIR, first test read file using read.myacc.csv function directly.","code":"library(GGIR) read.myacc.csv(rmc.file = \"C:/mystudy/mydata/datafile.csv\",                rmc.nrow = Inf,                rmc.skip = 0,                rmc.dec = \".\",                rmc.firstrow.acc = 2,                rmc.col.acc = 2:4,                rmc.col.temp = 5,                rmc.col.time=1,                rmc.unit.acc = \"g\",                rmc.unit.temp = \"C\",                rmc.unit.time = \"POSIX\",                rmc.format.time = \"%d/%m/%Y %H:%M:%OS\",                desiredtz = \"Europe/London\",                rmc.sf = 100)"},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"example-using-the-shell-function","dir":"Articles","previous_headings":"Usage of the read.myacc.csv function","what":"Example using the shell function","title":"Reading csv files with raw data in GGIR","text":"rmc.firstrow.acc argument defined within GGIR function, data read read.myacc.csv. GGIR needs user specify row starts accelerometer data within csv, argument must always explicitly specified user. Thus, call GGIR including rmc arguments look follows (note rmc.file, rmc.nrow, rmc.skip arguments used GGIR arguments already defined datadir, strategy, header arguments, respectively).","code":"library(GGIR) GGIR(              mode=c(1,2,3,4,5),              datadir=\"C:/mystudy/mydata/datafile.csv\",              outputdir=\"D:/myresults\",              do.report=c(2,4,5),              #=====================              # read.myacc.csv arguments              #=====================              rmc.nrow = Inf,               rmc.dec = \".\",              rmc.firstrow.acc = 2,               rmc.col.acc = 2:4,               rmc.col.temp = 5,               rmc.col.time=1,              rmc.unit.acc = \"g\",               rmc.unit.temp = \"C\",               rmc.unit.time = \"POSIX\",              rmc.format.time = \"%d/%m/%Y %H:%M:%OS\",              desiredtz = \"Europe/London\",              rmc.sf = 100,              rmc.noise = 0.013 )"},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Day segment analyses with GGIR","text":"specific person active morning afternoon? children active work hours leisure time? much inactivity occurs work office workers? Questions like can answered GGIR first specify parameters. main input argument specified qwindow, can used following ways: specify clock hours day based segmented day analyses take place. specify activity log (diary) used guide segmentation per individual per day recording. following sections discuss scenarios.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"clock-hour-based-segmentation","dir":"Articles","previous_headings":"","what":"Clock hour-based segmentation","title":"Day segment analyses with GGIR","text":"perform clock hour segmentation, need provide function GGIR argument qwindow assign numeric vector hours segmentation. start end day, explicitly provided vector GGIR add . Please find example values qwindow. number values used qwindow unlimited, aware analyses MX-metrics impossible small windows produce empty results. Day Saving Time (DST) taken account identifying start day, identifying day segments. words, 23 hour days processed 24 hours first midnight. ensure segment length identical across days week, needed ease comparison outcome variables across days.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"segmentation-guided-by-activity-log","dir":"Articles","previous_headings":"","what":"Segmentation guided by activity log","title":"Day segment analyses with GGIR","text":"perform activity-log based segmentation, need provide function GGIR argument qwindow assign full path activity log .csv format, e.g. qwindow=\"C:/myactivitylog.csv\". activity log expected .csv-file following structure: Rows: First row represents column headers row represents one accelerometer recording. ID-column: first column expected hold recording ID, needs match ID GGIR extracts accelerometer file. unsure format ID values, apply GGIR sample accelerometer files using default argument settings. ID column generated part 2 .csv reports show participant ID extracted GGIR. ID extracted, see documentation argument idloc, helps specify location participant file name file header. ID extraction fails accelerometer files matched corresponding activity log entries. Date-column: ID column followed date column first log day. ensure GGIR recognises date correctly, specify argument qwindow_dateformat. default format \"\\%d-\\%m-\\%Y\" 23-2-2021 indicate 23rd February 2021. date formatted 2-23-21 specify\"\\%m-\\%d-\\%y\". column name date column needs include character combination “date” “Date” “DATE”. Use date format consistently throughout activity diary. Start-times: date column followed one multiple columns start times activity types day format hours:minutes:seconds. provide dates cells. header column used label activity type. Insert new date column continuing activity types next day. Leave missing values empty. Missing values: values missing preceding succeeding time point used edges segment. example means define segment -C ID 1234, ID 6789 defined segments -B B-C, segment -C derived . Notes: - activity log collected individuals processed qwindow value c(0,24). - Dates activity log data can skipped, need column date followed column next date. - end time one activity assumed start time next activity. currently facilitate overlapping time segments.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"implementation-in-ggir","dir":"Articles","previous_headings":"","what":"Implementation in GGIR","title":"Day segment analyses with GGIR","text":"approaches implemented GGIR part 2 part 5. Therefore specific output variables calculated part 2 5 available per day, per person, per segment day based argument qwindow Note qwindow used part 5 timewindow includes \"MM\" (see specific documentation timewindow} parameters vignette) moment, specifying argument qwindow triggers calculation qwindow segments part 2 part 5, may result longer time finish analysis. interested segments either part 2 part 5, option might run GGIR parts 1:2 argument qwindow interest, set qwindow = NULL run GGIR parts 3:5 (vice versa: qwindow = NULL GGIR parts 1:2, desired qwindow segments running GGIR parts 3:5). information output variables calculated part pipeline, see main GGIR vignette.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"examples","dir":"Articles","previous_headings":"","what":"Examples","title":"Day segment analyses with GGIR","text":"information use GGIR function call see explanation main GGIR vignette.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"clock-hour-based-segmentation-1","dir":"Articles","previous_headings":"Examples","what":"Clock-hour based segmentation:","title":"Day segment analyses with GGIR","text":"","code":"library(\"GGIR\") GGIR(datadir = \"/your/data/directory\",              outputdir = \"/your/output/directory\",              mode = 1:5, # <= run GGIR parts 1 to 5              do.report = c(2, 5), # <= generate csv-report for GGIR part 2 and part 5              qwindow = c(0, 6, 12, 18, 24),              timewindow = \"MM\")"},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"activity-log-based-segmentation","dir":"Articles","previous_headings":"Examples","what":"Activity log based segmentation:","title":"Day segment analyses with GGIR","text":"running code GGIR creates output folder output directory specified argument outputdir. subfolder results find csv files reports generated part 2 part 5 pipeline: Part 2 part2_summary.csv recording level summary, 1 row per recording recording level aggregates day segments columns. part2_daysummary.csv day level summary, 1 row per day day segment specific outcomes columns. part2_daysummary_longformat.csv day level summary long format, row represents one segment one day one recording. part2_summary.csv part2_daysummary.csv column names tell day segment correspond . example, column names ending _18-24hr refer time segment 18:00-24:00. part2_daysummary_longformat.csv time segment clarified via columns qwindow_timestamps qwindow_name. Part 5 part 5, information segments days exported different csv reports person-level day-level summaries. files include word “Segments” filename provided long format aggregated per day per person: part5_daysummary_Segments[...].csv day level summary long format, row represents one segment one day one recording. part5_personsummary_Segments[...].csv recording level summary long format, row represents average outcome one specific segments across days segment available per participant.","code":"library(\"GGIR\") GGIR(datadir = \"/your/data/directory\",              outputdir = \"/your/output/directory\",              mode = 1:5, # <= run GGIR parts 1 to 5              do.report = c(2, 5), # <= generate csv-report for GGIR part 2 and part 5              qwindow = \"/path/to/your/activity/log.csv\",              timewindow = \"MM\")"},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"cleaning-parameters-for-day-segments-in-part-5","dir":"Articles","previous_headings":"","what":"Cleaning parameters for day segments (in part 5):","title":"Day segment analyses with GGIR","text":"part 5, analyses performed per segment day come possibility clean reports based information available segments. users can select include segments given amount wear time segment (segmentWEARcrit.part5), well given awake time sleep period time segment (segmentDAYSPTcrit.part5). arguments likely critical meaningful analysis data. presence sleep segment physical activity bias physical inactivity estimates presence physical activity segment sleep bias sleep estimates. become impossible quantify whether lack one presence behaviour drives association example health outcome.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"analyses-performed-per-day-segment","dir":"Articles","previous_headings":"","what":"Analyses performed per day segment","title":"Day segment analyses with GGIR","text":"analyses GGIR per segment day, include: Acceleration distribution (part 2): Derived argument ilevels specified. find variable names [0,36)_ENMO_mg means time spent 0 36 mg defined acceleration metric ENMO. Number valid hours data (part 2): recognise N_valid_hours_in_window tells number valid hours per time window, N_valid_hours number valid hours per day. Non-wear time percentage (part 5): nonwear_day_perc, nonwear_spt_perc, nonwear_day_spt_perc tell proportion segment classified non-wear awake time (day) sleep period time (spt). LXMX analysis (part 2 part5): LXMX analysis, stands least active X hours segment. recognise variable names like L5hr_ENMO_mg start time least active five hours defined metric ENMO, L5_ENMO_mg average acceleration hours. Intensity gradient analysis (part 2 part 5): find variables start ig_gradient_ See description GGIR part 2 output main GGIR vignette details. Time spent Moderate Vigorous Physical Activity (MVPA) (part 2 part 5): find variables MVPA_E5S_T201_ENMO MVPA_E5S_B1M80%_T201_ENMO. See description GGIR part 2 output main GGIR vignette details. Time spent sleeping, inactivity physical activity intensities (part 5): find variables part 5 reports, bouted, unbouted, total time version variables. See description GGIR part 5 output main GGIR vignette details.","code":""},{"path":"https://wadpac.github.io/GGIR/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Vincent T van Hees. Author, maintainer. Jairo H Migueles. Author. Severine Sabia. Contributor. Matthew R Patterson. Contributor. Zhou Fang. Contributor. Joe Heywood. Contributor. Joan Capdevila Pujol. Contributor. Lena Kushleyeva. Contributor. Mathilde Chen. Contributor. Manasa Yerramalla. Contributor. Patrick Bos. Contributor. Taren Sanders. Contributor. Chenxuan Zhao. Contributor. Ian Meneghel Danilevicz. Contributor. Victor Barreto Mesquita. Contributor. Gaia Segantin. Contributor. Medical Research Council UK. Copyright holder, funder. Accelting. Copyright holder, funder. French National Research Agency. Copyright holder, funder.","code":""},{"path":"https://wadpac.github.io/GGIR/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"van Hees V, Migueles J, Fang Z, Zhao J, Heywood J, Mirkes E, Sabia S (2024). GGIR: Raw Accelerometer Data Analysis. doi:10.5281/zenodo.1051064, R package version 3.1-7, https://CRAN.R-project.org/package=GGIR. van Hees V, Fang Z, Langford J, Assah F, MohammadMirkes , da Silva , Trenell M, White T, Wareham N, Brage S (2014). “Autocalibration accelerometer data free-living physical activity assessment using local gravity temperature: evaluation four continents.” Journal Applied Physiology, 117(7), 738–744. https://doi.org/10.1152/japplphysiol.00421.2014. van Hees V, Sabia S, Anderson K, Denton S, Oliver J, Catt M, Abell J, Kivimaki M, Trenell M, Singh-Manoux (2015). “Novel, Open Access Method Assess Sleep Duration Using Wrist-Worn Accelerometer.” PLoS One, 10(11). doi:10.1371/journal.pone.0142533, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142533. van Hees V, Sabia S, Jones S, Wood , Anderson K, Kivimaki M, Frayling T, Pack , Bucan M, Trenell M, Mazzotti D, Gehrman P, Singh-Manoux , Weedon M (2018). “Estimating sleep parameters using accelerometer without sleep diary.” Scientific Reports, 8(1). doi:10.1038/s41598-018-31266-z, https://www.nature.com/articles/s41598-018-31266-z. Migueles J, Rowlands , Huber F, Sabia S, van Hees V (2019). “GGIR: Research Community-Driven Open Source R Package Generating Physical Activity Sleep Outcomes Multi-Day Raw Accelerometer Data.” Journal Measurement Physical Behavior, 2(3). doi:10.1123/jmpb.2018-0063, https://doi.org/10.1123/jmpb.2018-0063.","code":"@Manual{,   title = {{GGIR}: Raw Accelerometer Data Analysis},   author = {Vincent T {van Hees} and Jairo H Migueles and Zhou Fang and Jing Hua Zhao and Joe Heywood and Evgeny Mirkes and Severine Sabia},   year = {2024},   note = {R package version 3.1-7},   doi = {10.5281/zenodo.1051064},   url = {https://CRAN.R-project.org/package=GGIR}, } @Article{,   title = {Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents},   author = {Vincent T {van Hees} and Zhou Fang and Joss Langford and Felix Assah and A MohammadMirkes and Inacio C {da Silva} and Michael I Trenell and Tom White and Nicholas J Wareham and Soren Brage},   journal = {Journal of Applied Physiology},   volume = {117},   number = {7},   pages = {738--744},   year = {2014},   url = {https://doi.org/10.1152/japplphysiol.00421.2014}, } @Article{,   title = {A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer},   author = {Vincent T {van Hees} and Severine Sabia and Kirstie N Anderson and Sarah J Denton and James Oliver and Michael Catt and Jesica G Abell and Mika Kivimaki and Michael I Trenell and Archana Singh-Manoux},   doi = {10.1371/journal.pone.0142533},   journal = {PLoS One},   volume = {10},   number = {11},   year = {2015},   url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142533}, } @Article{,   title = {Estimating sleep parameters using an accelerometer without sleep diary},   author = {Vincent T {van Hees} and Severine Sabia and Samuel E Jones and Andrew R Wood and Kirstie N Anderson and Mika Kivimaki and Tim M Frayling and Allan I Pack and Maja Bucan and Michael I Trenell and Diego R Mazzotti and Philip R Gehrman and Archana Singh-Manoux and Michael N Weedon},   doi = {10.1038/s41598-018-31266-z},   journal = {Scientific Reports},   volume = {8},   number = {1},   year = {2018},   url = {https://www.nature.com/articles/s41598-018-31266-z}, } @Article{,   title = {GGIR: A Research Community-Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data},   author = {Jairo H Migueles and Alex V Rowlands and Florian Huber and Severine Sabia and Vincent T {van Hees}},   doi = {10.1123/jmpb.2018-0063},   journal = {Journal for the Measurement of Physical Behavior},   volume = {2},   number = {3},   year = {2019},   url = {https://doi.org/10.1123/jmpb.2018-0063}, }"},{"path":[]},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"interest fostering open welcoming environment, contributors maintainers pledge making participation project community harassment-free experience everyone, regardless age, body size, disability, ethnicity, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation.","code":""},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes creating positive environment include: Using welcoming inclusive language respectful differing viewpoints experiences Gracefully accepting constructive criticism Focusing best community Showing empathy towards community members Examples unacceptable behavior participants include: use sexualized language imagery unwelcome sexual attention advances Trolling, insulting/derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical electronic address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"our-responsibilities","dir":"","previous_headings":"","what":"Our Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Project maintainers responsible clarifying standards acceptable behavior expected take appropriate fair corrective action response instances unacceptable behavior. Project maintainers right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, ban temporarily permanently contributor behaviors deem inappropriate, threatening, offensive, harmful.","code":""},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within project spaces public spaces individual representing project community. Examples representing project community include using official project e-mail address, posting via official social media account, acting appointed representative online offline event. Representation project may defined clarified project maintainers.","code":""},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported contacting main project maintainer v.vanhees@accelting.com. complaints reviewed investigated result response deemed necessary appropriate circumstances. project team obligated maintain confidentiality regard reporter incident. details specific enforcement policies may posted separately.","code":""},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 1.4, available https://www.contributor-covenant.org/version/1/4/code--conduct.html","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contributing guidelines","title":"Contributing guidelines","text":"welcome kind contribution software, simple comment question full fledged pull request. Please read follow Code Conduct. contribution can one following cases: question; think may found bug (including unexpected behavior); want make kind change code base (e.g. fix bug, add new feature, update documentation); want make new release code base. sections outline steps case.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"questions","dir":"","previous_headings":"","what":"Questions","title":"Contributing guidelines","text":"use search functionality see someone already experienced issue; search yield relevant results, start new conversation.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"bugs","dir":"","previous_headings":"","what":"Bugs","title":"Contributing guidelines","text":"use search functionality see someone already filed issue; issue search yield relevant results, make new issue, choose Bug report type. includes checklist make sure provide enough information rest community understand cause context problem.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"changes-or-additions","dir":"","previous_headings":"","what":"Changes or additions","title":"Contributing guidelines","text":"(important) announce plan rest community start working. announcement form (new) issue. Choose Feature request type, includes checklist things consider get discussion going; (important) wait kind consensus reached idea good idea; needed, fork repository Github profile create feature branch latest master commit. working feature branch, make sure stay date master branch pulling changes, possibly ‘upstream’ repository (follow instructions ); make sure existing tests still work running test suite RStudio; add tests (necessary); update expand documentation, see package documentation guidelines; make sure release notes inst/NEWS.Rd updated; add name contributors lists DESCRIPTION file; push feature branch (fork ) GGIR repository GitHub; create pull request, e.g. following instructions . pull request template includes checklist items. case feel like ’ve made valuable contribution, don’t know write run tests , generate documentation: don’t let discourage making pull request; can help ! Just go ahead submit pull request, keep mind might asked append additional commits pull request.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"coding-style","dir":"","previous_headings":"Changes or additions","what":"Coding style","title":"Contributing guidelines","text":"loosely follow tidyverse style guide, enforce every rule strictly. instance, prefer = instead <- default assignment operator. doubt style use, don’t hesitate get touch. general guidelines try adhere : Use standard R much possible, keep dependencies minimum. Keep loops minimum. Don’t make lines long. first time contributor, don’t worry coding style much. help get things shape.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"package-documentation","dir":"","previous_headings":"Changes or additions","what":"Package documentation","title":"Contributing guidelines","text":"currently three sources documenting package: reference manual, including package basic information functions documentation files. package vignettes. github.io website (built pkgdown package).","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"reference-manual","dir":"","previous_headings":"Changes or additions > Package documentation","what":"Reference manual","title":"Contributing guidelines","text":"reference manual gets information .Rd documents within man folder package repository. Therefore, updating information files automatically update reference manual. Note GGIR functions intended direct interaction user, , documentation arguments centralized details section man/GGIR.Rd. example want add extra parameter params_247 documented . , forget include new argument functions  .","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"package-vignettes","dir":"","previous_headings":"Changes or additions > Package documentation","what":"Package vignettes","title":"Contributing guidelines","text":"folder vignettes GGIR repository contains .Rmd files. .Rmd files start word ‘chapter’ used traditional package vignettes hosted CRAN. Use files edit existing vignette, use structure vignettes build new one. .Rmd files name starts word ‘chapter’ ignored. chapter-vignettes used github.io website (see next section). create new vignette CRAN create new package vignette CRAN, please use usethis::use_vignette() make sure name vignette file start “chapter”. example, want create new vignette sleep CRAN, may following: create new “sleep.Rmd” file within vignettes folder GGIR repository. can edit file build vignette. remove vignette CRAN two ways remove vignette CRAN: Removing Rmd file corresponding vignette vignettes folder, note file information lost. Adding path vignette .Rbuildignore file available GGIR repository. example, remove GGIRParameters vignette CRAN, can add:","code":"usethis::use_vignette(name = \"sleep\",                       title = \"How to analyse your sleep data in GGIR\") ^vignettes/GGIRParameters.Rmd"},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"githubio-website","dir":"","previous_headings":"Changes or additions > Package documentation","what":"github.io website","title":"Contributing guidelines","text":"updating adding information github.io website, need use pkgdown configuration file can found repositories root directory, well chapter vignettes discussed . edit information existing chapter Open vignette corresponding chapter wish edit (see _pkgdown.yml) file chapter vignette path (href). Make changes vignette. Run pkgdown::build_site() function. add new chapter Create Rmd file vignette via usethis::use_vignette() make sure name vignette starts “chapter”, example: Open _pkgdown.yml file fill name reference new chapter menu. Make sure follow coding structure rest chapters. Run pkgdown::build_site() function. remove chapter Remove lines corresponding chapter _pkgdown.yml file line 42 onwards. Optionally may remove Rmd file corresponding chapter, step 1, chapter appear github.io website. Run pkgdown::build_site() function. edit name chapter Chapter names defined twice, _pkgdown.yml file vignette file . need make sure titles match first used drop-list github.io website specific page chapter.","code":"usethis::use_vignette(name = \"chapterSleep\",                       title = \"10. How to analyse your sleep data in GGIR\")"},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"adding-the-changes-to-the-master-branch","dir":"","previous_headings":"Changes or additions > Package documentation","what":"Adding the changes to the master branch","title":"Contributing guidelines","text":"last step committing pushing changes github making pull request contribution package. Note , running pkgdown::build_site() function edit files within docs folder, probably add new files. applies editing information github.io website. important changes files docs folder also part pull requests, otherwise website updated.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"new-release","dir":"","previous_headings":"","what":"New release","title":"Contributing guidelines","text":"GGIR follows release cycle process described document.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":null,"dir":"Reference","previous_headings":"","what":"Activity balance index (ABI) — ABI","title":"Activity balance index (ABI) — ABI","text":"function estimates Activity balance index (ABI), transformation self-similarity parameter (SSP), also known scaling exponent alpha.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Activity balance index (ABI) — ABI","text":"","code":"ABI(x)"},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Activity balance index (ABI) — ABI","text":"x estimated self-similarity parameter (SSP)","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Activity balance index (ABI) — ABI","text":"estimated Activity balance index (ABI) real number zero one.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Activity balance index (ABI) — ABI","text":"ABI = exp(-abs(SSP-1)/exp(-2))","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Activity balance index (ABI) — ABI","text":"C.-K. Peng, S.V. Buldyrev, S. Havlin, M. Simons, H.E. Stanley, .L. Goldberger Phys. Rev. E, 49 (1994), p. 1685   Mesquita, Victor & Filho, Florencio & Rodrigues, Paulo. (2020). Detection crossover points detrended fluctuation analysis: application EEG signals patients epilepsy. Bioinformatics. 10.1093/bioinformatics/btaa955.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Activity balance index (ABI) — ABI","text":"Ian Meneghel Danilevicz <ian.meneghel-danilevicz@inserm.fr>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Activity balance index (ABI) — ABI","text":"","code":"# Estimate Activity balance index of a very known time series   # available on R base: the sunspot.year.   if (FALSE) { # \\dontrun{       ssp = SSP(sunspot.year)     abi = ABI(ssp)   } # }"},{"path":"https://wadpac.github.io/GGIR/reference/aggregateEvent.html","id":null,"dir":"Reference","previous_headings":"","what":"Aggregates event data as produced by external function — aggregateEvent","title":"Aggregates event data as produced by external function — aggregateEvent","text":"Aggregates event data produced external function","code":""},{"path":"https://wadpac.github.io/GGIR/reference/aggregateEvent.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Aggregates event data as produced by external function — aggregateEvent","text":"","code":"aggregateEvent(metric_name, epochsize, daysummary, ds_names,                           fi, di, vari, segmentInfo, myfun = NULL,                           params_247)"},{"path":"https://wadpac.github.io/GGIR/reference/aggregateEvent.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Aggregates event data as produced by external function — aggregateEvent","text":"metric_name Character name metric epochsize Numeric epochsize seconds timeseries daysummary Matrix prelimenary day summary ds_names Daysummary column names fi Column index daysummary di Row index daysummary representing recording day vari Time series derived metashort segmentInfo List passed g.analyse.perday time series indices     segment analyse segment name segment number. myfun See GGIR params_247 See GGIR","code":""},{"path":"https://wadpac.github.io/GGIR/reference/aggregateEvent.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Aggregates event data as produced by external function — aggregateEvent","text":"Vincent T van Hees <v.vanhees@accelting.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/apply_cosinor_IS_IV_Analyses.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply Cosinor Analyses to time series — apply_cosinor_IS_IV_Analyses","title":"Apply Cosinor Analyses to time series — apply_cosinor_IS_IV_Analyses","text":"Wrapper function around cosinor_IS_IV_Analyses first prepares time series   applying cosinorAnlayses","code":""},{"path":"https://wadpac.github.io/GGIR/reference/apply_cosinor_IS_IV_Analyses.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply Cosinor Analyses to time series — apply_cosinor_IS_IV_Analyses","text":"","code":"apply_cosinor_IS_IV_Analyses(ts, qcheck, midnightsi, epochsizes, threshold = NULL)"},{"path":"https://wadpac.github.io/GGIR/reference/apply_cosinor_IS_IV_Analyses.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply Cosinor Analyses to time series — apply_cosinor_IS_IV_Analyses","text":"ts Data.frame timestamps acceleration metric. qcheck Vector equal length number rows ts value 1 invalid     timestamps, 0 otherwise. midnightsi Indices midnights time series epochsizes Epoch size ts qcheck respectively threshold See cosinor_IS_IV_Analyses","code":""},{"path":"https://wadpac.github.io/GGIR/reference/apply_cosinor_IS_IV_Analyses.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Apply Cosinor Analyses to time series — apply_cosinor_IS_IV_Analyses","text":"Vincent T van Hees <v.vanhees@accelting.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/cosinor_IS_IV_Analyses.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply cosinor anlaysis and extended cosinor analysis — cosinor_IS_IV_Analyses","title":"Apply cosinor anlaysis and extended cosinor analysis — cosinor_IS_IV_Analyses","text":"Applies cosinor anlaysis ActCR package time series, well   IV, phi estimates.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/cosinor_IS_IV_Analyses.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply cosinor anlaysis and extended cosinor analysis — cosinor_IS_IV_Analyses","text":"","code":"cosinor_IS_IV_Analyses(Xi, epochsize = 60, timeOffsetHours = 0, threshold = NULL)"},{"path":"https://wadpac.github.io/GGIR/reference/cosinor_IS_IV_Analyses.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply cosinor anlaysis and extended cosinor analysis — cosinor_IS_IV_Analyses","text":"Xi Vector time series movement indicators maximum < 8 mean < 1     input assumed g-units multiplied 1000. epochsize Numeric epochsize seconds timeOffsetHours Numeric time hours relative next midnight threshold Numeric value use threshold distinguish inactivity active behaviour     IV analysis. GGIR uses parameter threshold.lig set threshold.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/cosinor_IS_IV_Analyses.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Apply cosinor anlaysis and extended cosinor analysis — cosinor_IS_IV_Analyses","text":"Vincent T van Hees <v.vanhees@accelting.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":null,"dir":"Reference","previous_headings":"","what":"Detrended Fluctuation Analysis — DFA","title":"Detrended Fluctuation Analysis — DFA","text":"Detrended Fluctuation Analysis (DFA)","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Detrended Fluctuation Analysis — DFA","text":"","code":"DFA(data, scale = 2^(1/8), box_size = 4, m = 1)"},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Detrended Fluctuation Analysis — DFA","text":"data Univariate time series (must vector data frame) scale Specifies ratio successive box sizes (default scale = 2^(1/8)) box_size Vector box sizes (must used conjunction scale = \"F\") m integer polynomial order detrending (default m=1)","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Detrended Fluctuation Analysis — DFA","text":"Estimated alpha real number zero two.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Detrended Fluctuation Analysis — DFA","text":"DFA fluctuation can computed geometric scale different choices boxes sizes.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Detrended Fluctuation Analysis — DFA","text":"possible estimating alpha multiple time series .","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Detrended Fluctuation Analysis — DFA","text":"C.-K. Peng, S.V. Buldyrev, S. Havlin, M. Simons, H.E. Stanley, .L. Goldberger Phys. Rev. E, 49 (1994), p. 1685   Mesquita, Victor & Filho, Florencio & Rodrigues, Paulo. (2020). Detection crossover points detrended fluctuation analysis: application EEG signals patients epilepsy. Bioinformatics. 10.1093/bioinformatics/btaa955.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Detrended Fluctuation Analysis — DFA","text":"Ian Meneghel Danilevicz <ian.meneghel-danilevicz@inserm.fr>   Victor Barreto Mesquita <victormesquita40@hotmail.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Detrended Fluctuation Analysis — DFA","text":"","code":"# Estimate self-similarity of a very known time series available   # on R base: the sunspot.year.   # Then the spend time with each method is compared.   if (FALSE) { # \\dontrun{     dfa = DFA(sunspot.year)   } # }"},{"path":"https://wadpac.github.io/GGIR/reference/MXLX.html","id":null,"dir":"Reference","previous_headings":"","what":"MX LX analysis — MXLX","title":"MX LX analysis — MXLX","text":"Identifies least active X hours","code":""},{"path":"https://wadpac.github.io/GGIR/reference/MXLX.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MX LX analysis — MXLX","text":"","code":"MXLX(Y = NULL, X = 5, epochSize = 1, tseg = c(0, 24), resolutionMin = 10)"},{"path":"https://wadpac.github.io/GGIR/reference/MXLX.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MX LX analysis — MXLX","text":"Y Vector numeric time series X Single numeric value X hours epochSize Numeric epoch size seconds Y tseg Numeric vector length two reflecting time windownof Y real clock hours.     example, Y represent noon-midnight     set tseg c(12, 24). resolutionMin Numeric value indicate resolution minutes MX LX search","code":""},{"path":"https://wadpac.github.io/GGIR/reference/MXLX.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"MX LX analysis — MXLX","text":"data.frame : LX average value Y LX LXhr hour day LX starts start_LX index Y LX starts end_LX index Y LX ends MX average value Y MX MXhr hour day MX starts start_MX index Y MX starts end_MX index Y MX ends","code":""},{"path":"https://wadpac.github.io/GGIR/reference/MXLX.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"MX LX analysis — MXLX","text":"Vincent T van Hees <v.vanhees@accelting.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimated self-similarity parameter — SSP","title":"Estimated self-similarity parameter — SSP","text":"function estimates self-similarity parameter (SSP), also known scaling exponent alpha.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimated self-similarity parameter — SSP","text":"","code":"SSP(data,scale = 2^(1/8),box_size = 4,m=1)"},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimated self-similarity parameter — SSP","text":"data Univariate time series (must vector data frame) scale Specifies ratio successive box sizes (default scale = 2^(1/8)) box_size Vector box sizes (must used conjunction scale = \"F\") m integer polynomial order detrending (default m=1)","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimated self-similarity parameter — SSP","text":"Estimated alpha real number zero two.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimated self-similarity parameter — SSP","text":"DFA fluctuation can computed geometric scale different choices boxes sizes.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimated self-similarity parameter — SSP","text":"possible estimating alpha multiple time series .","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimated self-similarity parameter — SSP","text":"C.-K. Peng, S.V. Buldyrev, S. Havlin, M. Simons, H.E. Stanley, .L. Goldberger Phys. Rev. E, 49 (1994), p. 1685   Mesquita, Victor & Filho, Florencio & Rodrigues, Paulo. (2020). Detection crossover points detrended fluctuation analysis: application EEG signals patients epilepsy. Bioinformatics. 10.1093/bioinformatics/btaa955.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Estimated self-similarity parameter — SSP","text":"Ian Meneghel Danilevicz <ian.meneghel-danilevicz@inserm.fr>   Victor Barreto Mesquita <victormesquita40@hotmail.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimated self-similarity parameter — SSP","text":"","code":"# Estimate self-similarity of a very known time series available on R base: the sunspot.year.   # Then the spend time with each method is compared.   if (FALSE) { # \\dontrun{     ssp = SSP(sunspot.year)   } # }"},{"path":"https://wadpac.github.io/GGIR/RELEASE_CYCLE.html","id":null,"dir":"","previous_headings":"","what":"Version numbering","title":"Version numbering","text":"use version encoding .B-C: increases major changes affect backward compatibility previous releases like changes function names, function arguments file format. B increases every CRAN release. aim avoid four CRAN releases per year. C increases every GitHub release. aim avoid one GitHub release per month.","code":""},{"path":"https://wadpac.github.io/GGIR/RELEASE_CYCLE.html","id":"github-releases","dir":"","previous_headings":"","what":"GitHub releases","title":"Version numbering","text":"releasing, please make sure check following: Create GitHub issue least 1 weeks intended release announce release indicate release. Make sure change log inst/NEWS.Rd date says “GitHub--release date” rather “release date” Make sure third (last) digit version number incremented one relative master branch date present date. applies files DESCRIPTION, GGIR-package.Rd NEWS.Rd file. Use function prepareNewRelease.R root GGIR double check version number date consistent files. Update package contributor list new people contributed. Run R CMD check ---cran make sure tests checks pass. Note GitHub releases require release name. typically choose random name city town South America. Whatever choose easy read remember word.","code":""},{"path":"https://wadpac.github.io/GGIR/RELEASE_CYCLE.html","id":"cran-releases","dir":"","previous_headings":"","what":"CRAN releases","title":"Version numbering","text":"CRAN release, follow following steps: Create GitHub issue least 4 weeks intended CRAN release announcing release indicating release list. CRAN release come major changes covered GitHub-releases. change log now say “release date” rather “GitHub--release date”. Second digit version number incremented 1 relative current CRAN version. Check whether new R version released coming make sure GGIR also tested version. Run RStudio devtools::check( manual = TRUE, remote = TRUE, incoming = TRUE) help check urls Ask Vincent (GitHub tag: vincentvanhees) submit release CRAN needs come e-mail address.","code":""}]
+[{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Contributing.html","id":"if-you-have-coding-skills","dir":"Articles","previous_headings":"","what":"If you have coding skills…","title":"Contributing","text":"welcome contributions development, maintenance, documentation GGIR. Please find GGIR’s contributing guidelines .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Contributing.html","id":"if-you-do-not-have-coding-skills-","dir":"Articles","previous_headings":"","what":"If you do not have coding skills….","title":"Contributing","text":"might coding skills contribute code base GGIR, still contribution important us. example: Apply funding support development maintenance GGIR. GGIR free software entirely depend users applying funding sponsor efforts. Funding used support development new functionalities, support improvement existing GGIR software code, support development better open-access training materials instruction videos. Report issues questions GGIR google group. Proofread GGIR documentation inform us miss something found difficult follow. Take independent initiatives complement efforts. example, Prof. Stuart Fairclough created series GGIR video tutorials, Wei Guo colleagues created R package mMARCH.AC post-process GGIR output described supporting journal article, maybe initiatives aware . Please communicate initiatives via GGIR google group /GGIR maintainer Vincent van Hees avoid duplicated work support needed.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_GetStarted.html","id":"run-ggir-for-the-first-time","dir":"Articles","previous_headings":"","what":"Run GGIR for the first time","title":"Get started: the GGIR R package","text":"First, need place file(s) folder computer. Make sure folder contains accelerometer files. Use following command run GGIR. datadir refers directory located accelerometer files. outputdir refers directory want store GGIR’s output. minutes, able see output directory gets populated files, reports, visualizations. command let GGIR run default settings (parameters), analysis tailored yet study design research question. documentation chapters find website guide .","code":"library(GGIR)  GGIR(datadir=\"C:/mystudy/mydata\", outputdir=\"D:/myresults\")"},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_GetStarted.html","id":"related-links","dir":"Articles","previous_headings":"","what":"Related links","title":"Get started: the GGIR R package","text":"Install R GGIR Get support Suitable file formats GGIR","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Installation.html","id":"install-r-and-rstudio","dir":"Articles","previous_headings":"","what":"Install R and RStudio","title":"Installation of the GGIR R Package","text":"Download install R Download install RStudio","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Installation.html","id":"install-ggir","dir":"Articles","previous_headings":"","what":"Install GGIR","title":"Installation of the GGIR R Package","text":"Install latest released version GGIR dependencies CRAN. can one command R command line: Alternatively, can install latest development version, might include additional bug fixes functionalities. get development version, please use:","code":"install.packages(\"GGIR\", dependencies = TRUE) library(GGIR) install.packages(\"remotes\", dependencies = TRUE) remotes::install_github(\"wadpac/GGIR\", dependencies = TRUE) library(GGIR)"},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Installation.html","id":"other-packages-you-may-need","dir":"Articles","previous_headings":"","what":"Other packages you may need","title":"Installation of the GGIR R Package","text":"Additionally, use-cases need install one multiple additional packages. Note packages installed default, please follow instructions : want derive Neishabouricounts (.neishabouricounts = TRUE), install actilifecounts package install.packages(\"actilifecounts\") want process Sensewear xlsx files (dataFormat = \"sensewear\"), install readxl package install.packages(\"readxl\")","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Installation.html","id":"installing-older-versions-of-a-package","dir":"Articles","previous_headings":"","what":"Installing older versions of a package","title":"Installation of the GGIR R Package","text":"aiming reproduce historical analysis critical install correct package version. explain GGIR release 2.4-0 work release. Note GGIR archived CRAN (major releases ) GitHub (releases). CRAN archive: see releases available CRAN check : https://cran.r-project.org/src/contrib/Archive/GGIR/. GitHub: see releases available CRAN check : https://github.com/wadpac/GGIR/releases.","code":"require(remotes) install_version(\"GGIR\", version = \"2.4-0\", repos = \"http://cran.us.r-project.org\") require(remotes) install_github(\"wadpac/GGIR\", ref = \"2.4-0\")"},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Support.html","id":"questions-and-problems","dir":"Articles","previous_headings":"","what":"Questions and problems","title":"How can I get service and support?","text":"general questions issues please join GGIR google group create new thread. report problem group always try create minimal example someone else can use reproduce investigate problem. However, familiar GitHub, also welcome report issue via GitHub issue tracker. Please use message template displayed. Note support places based voluntary efforts encourage try help users questions. Questions valuable help us understand challenges run occasionally help us identify bug code. make practical, please AVOID sending questions personal messages. Instead, post public platforms. approach allows others benefit discussions, minimises need us respond inquiries repeatedly, enhances likelihood others can answer questions ’re unavailable, acknowledges volunteer effort invested responding queries.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Support.html","id":"commercial-training-services","dir":"Articles","previous_headings":"","what":"Commercial training services","title":"How can I get service and support?","text":"Accelting provides online training options using GGIR, please find website. questions, please hesitate reach via: training@accelting.com.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter0_Support.html","id":"dedicated-support","dir":"Articles","previous_headings":"","what":"Dedicated support","title":"How can I get service and support?","text":"need dedicated support use GGIR, want GGIR modified enhanced needs, please contact Vincent van Hees.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-analysis","dir":"Articles","previous_headings":"","what":"Sleep analysis","title":"10. Sleep Analysis","text":"Sleep analysis GGIR comes three stages: discrimination sustained inactivity wakefulness periods, discussed chapter 8. Identification time windows guide eventual sleep detection, discussed chapter 9. Assess overlap windows identified step 1 2, use define Sleep Period Time window (SPT) time bed window (TimeInBed) discussed chapter. previous two chapters learnt first two steps chapter discuss last step.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-period-time-spt-window-or-time-in-bed","dir":"Articles","previous_headings":"Sleep analysis","what":"Sleep Period Time (SPT) window or Time in Bed","title":"10. Sleep Analysis","text":"two scenarios: guider reflects approximation Sleep Period Time window, window sleep onset waking end night, SIB fully partially overlaps guider considered sleep. guider reflects Time Bed SIB fully overlaps guider considered sleep. scenario sleep latency sleep efficiency can estimated included GGIR part 4 report. cases start first SIB considered sleep onset end last SIB considered waking . guiders, “HorAngle”, parameter sleepwindowType automatically set “SPT” corresponding scenario 1, attempt made estimate sleep latency sleep efficiency. use guider sleeplog reflects Time Bed need set parameter sleepwindowType = \"TimeInBed\" tell GGIR follow scenario 2. However, parameter sib_must_fully_overlap_with_TimeInBed suprres requirement sleepwindowType = \"TimeInBed\" SIB fully overlaps “TimeInBed”. example, want SIB counted sleep fully overlap TimeInBed prefer rely SIB define end night regardless overlap TimeInBed set sib_must_fully_overlap_with_TimeInBed = c(TRUE, FALSE).","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"cleaningcode","dir":"Articles","previous_headings":"Sleep analysis > Quality assurance","what":"Cleaningcode","title":"10. Sleep Analysis","text":"monitor possible problems sleep detection, output variable cleaningcode stored per night. Cleaningcode per night (noon-noon 6pm-6pm described ) can one following values: 0: sleep log available SPT identified. 1: sleep log available, alternative guider used (HDCZA default) SPT identified . 2: enough valid accelerometer data present night, parameter includenightcrit used define many valid hours need. 3: accelerometer data available. 4: nights analysed person. 5: SPT estimated based guider , either SIB found entire guider window complicates defining start end SPT, user specified ID number recording night number data_cleaning_file, , tell GGIR rely guider rely accelerometer data particular night. 6: sleep log available also alternative guider (HDCZA/HorAngle) failed specific night use average guider estimates nights recording guider night. HDCZA/HorAngle estimates also available entire recording use L5+/-12 estimate night.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"visual-inspection-of-classifications","dir":"Articles","previous_headings":"Sleep analysis > Quality assurance","what":"Visual inspection of classifications","title":"10. Sleep Analysis","text":"overlap sib guiders difficult review quantitative way, GGIR offers option export visualisation, parameter .visual = TRUE. manage number visualisations generated possible tell GGIR show outliers. , outliers defined difference guider edge final classification sleep onset wakeup time larger parameter criterror. set parameter outliers.= TRUE nights considered outlier displayed. functionality useful reviewing classifications large data sets use sleep logs. Visual inspection outliers way can example help identify data entry errors sleep logs.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"data-cleaning-file","dir":"Articles","previous_headings":"Sleep analysis > Quality assurance","what":"Data cleaning file","title":"10. Sleep Analysis","text":"data quality check may observe adjustments needed. Parameter data_cleaning_file (path csv file create) allows specify individuals nights part4 entirely rely guider. first column csv file column name ID column relyonguider_part4 specify night. night_part4 allows tell GGIR night(s) omitted part 4.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-metrics-available-in-ggir","dir":"Articles","previous_headings":"Sleep analysis","what":"Sleep metrics available in GGIR","title":"10. Sleep Analysis","text":"full overview sleep variables part 4 see: https://cran.r-project.org/web/packages/GGIR/vignettes/GGIR.html#42_Output_part_4 Among assume intuitive: sleep onset wakeup Sleep duration SPT, accumulate sleep time (sustained inactivity bouts classified sleep) WASO, time spent wakefulness sleep onset. However, possible concepts need clarifications:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-regularity-index-sri","dir":"Articles","previous_headings":"Sleep analysis > Sleep metrics available in GGIR","what":"Sleep Regularity Index (SRI)","title":"10. Sleep Analysis","text":"measure sleep regularity successive days, first described Phillips colleagues. SRI can value -100 100, 100 reflects perfect regularity (identical days), 0 reflects random pattern, -100 reflects perfect reversed regularity. SRI proposed calculated based seven, multitude seven, consecutive days data without missing values. avoid possible role imbalanced data final estimate. However, renders many datasets unsuitable analysis leads painful loss sample size statistical power.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-regularity-index-dealing-with-unbalanced-data","dir":"Articles","previous_headings":"Sleep analysis > Sleep metrics available in GGIR > Sleep Regularity Index (SRI)","what":"Sleep Regularity Index – Dealing with unbalanced data","title":"10. Sleep Analysis","text":"address , implemented SRI GGIR per day-pair. Per day-pair GGIR now stores SRI value fraction 30 second epoch-pairs days valid. fraction can found output variable name SriFractionValid. default, day-pairs excluded fraction 0.66. familiar GGIR threshold coupled 16-hour default value parameter “includenightcrit”. example, set parameter “includenightcrit = 12”, fraction threshold : 12 / 24 = 0.5. Note implemented SRI calculation accounts missing values denominator. result, SRI value interpretation remains unchanged. 30 second epoch setting automatically applied, even rest GGIR process works different epoch duration. day-pair level estimates stored variable SleepRegularityIndex GGIR part 4 .csv-report sleep. , GGIR also stores person-level aggregates : plain average valid days, average valid weekend days, average valid week days. GGIR input arguments needed invoke SRI calculation. calculation automatically performed updating GGIR processing data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"sleep-regularity-index-benefits-of-the-revised-approach","dir":"Articles","previous_headings":"Sleep analysis > Sleep metrics available in GGIR > Sleep Regularity Index (SRI)","what":"Sleep Regularity Index – Benefits of the revised approach","title":"10. Sleep Analysis","text":"enables user study day-pair day-pair variation SRI, role day-pair inclusion criteria. access SRI day-pair level makes possible account imbalanced datasets via multilevel regression analysis applied output GGIR, day-pair one model levels.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"nap-detection","dir":"Articles","previous_headings":"Sleep analysis > Sleep metrics available in GGIR > Sleep Regularity Index (SRI)","what":"Nap detection","title":"10. Sleep Analysis","text":"references daytime nap detection GGIR based experimental functionality requires ongoing investigation. functionality matured expand documentation accordingly.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"key-parameters","dir":"Articles","previous_headings":"Sleep analysis","what":"Key parameters","title":"10. Sleep Analysis","text":"parameters part params_sleep category discussed section “Sleep parameters” https://cran.r-project.org/web/packages/GGIR/vignettes/GGIRParameters.html .visual, outliers., criterror. excludefirstlast. def.noc.sleep includenightcrit data_cleaning_file","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter10_SleepAnalysis.html","id":"related-output","dir":"Articles","previous_headings":"Sleep analysis","what":"Related output","title":"10. Sleep Analysis","text":"GGIR stores two type output: cleaned full output. cleaned output invalid nights removed, full output nights included. specifically, night excluded ‘cleaned’ results based following criteria: study proposed sleep log individuals, nights excluded sleep log used guider. words: nights cleaningcode equal 0 variable sleep log used equals FALSE). study propose sleep log individuals, nights removed cleaningcode higher 1. aware using full output working wrist accelerometer data, missing entries sleep log asks Time Bed replaced HDCZA estimates SPT. Therefore, extra caution taken working full output. Notice part 4 focused sleep research. chapters discuss analysis done part 5. , choice guider may considered less important, estimate time bed considered useful. , may see night excluded cleaned results part 4 still appears cleaned results part 5.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"why-behavioural-classes","dir":"Articles","previous_headings":"","what":"Why behavioural classes?","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"Descriptive variables average acceleration per day recording discussed previous chapter powerful indicators physical activity. Extensive evidence exists association physical activity related energy expenditure measured indirect calorimetry. Similarly, scientific value MX metrics intensity gradient discussed chapter 7 shown several studies (example: Rowlands, 2019a; Rowlands 2019b). However, physical activity research community historically expressed strong interest measures physical activity can expressed time per behavioural class per day. chapter discuss GGIR facilitates .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"construct-definition","dir":"Articles","previous_headings":"","what":"Construct definition","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"popular approach define behavioural classes physical activity research distinguish called intensity levels. , common distinguish sedentary behaviour (SB), light physical activity (LIPA), moderate, vigorous physical activity. latter two categories often combined moderate vigorous physical activity (MVPA). Inside GGIR refer sedentary behaviour inactivity emphasize methods quantify mainly lack activity rather sitting reclying posture. However, intensity levels behavioural classes lack feasible operational construct definition caused methodological discrepancies decades. elaborate reflection can found blog post. situation forced us pragmatic use operational construct definition intensity levels feasible accelerometer data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"classification-based-on-cut-points","dir":"Articles","previous_headings":"","what":"Classification based on cut-points","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"common classify intensity levels accelerometer data evaluating whether acceleration , , certain acceleration level(s). acceleration magnitude(s) use threshold(s), also known cut-points. use thresholds (cut-points) intended crude indicator time spent intensity levels sufficient rank individuals amount time spent behaviours. cut-point approach indisputably powerful method far drive physical activity research. See published cut-points use guidance choosing cut-points dataset. discussed detail , acceleration (intensity) level classification done GGIR parts 2 5.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"epoch-length","dir":"Articles","previous_headings":"","what":"Epoch length","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"Although accelerometers collect data much higher sampling frequency, work aggregated values (e.g. 1 5 second epochs) following reasons: Accelerometers often used describe patterns metabolic energy expenditure. Metabolic energy expenditure typically defined per breath per minute (indirect calorimetry), per day (room calorimeter), per multiple days (doubly labelled water method). order evaluate methods reference standards, need work similar time resolution. Collapsing data epoch summary measures helps standardise output across data collected different sampling frequencies studies. little evidence raw data accurate representation body acceleration. scientific evidence validity accelerometer data far based epoch aggregates. Short epoch lengths, 1 5 seconds, sensitive sporadic behaviours often combined bout detection identify MVPA sustained behaviour. Longer epochs, 30 60 seconds, problem therefore easier use without bout detection. epoch length GGIR default 5 seconds, can set first value vector specified parameter windowsizes. Although discuss epoch length context MVPA, please note epoch length influences many outcomes GGIR sleep analysis. GGIR part 5 offers option aggregate time series 1 minute epoch length order physical activity research 1 minute resolution leaving sleep detection relies shorter epoch length untouched (see parameter part5_agg2_60seconds=TRUE).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"bout-detection","dir":"Articles","previous_headings":"","what":"Bout detection","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"Behavioural bouts used frequently defined sustained time spent ina behavioural class adhering specific temporal criteria. GGIR facilitates processing data without accounting bouts. motivation look bouts can one following: idea behaviour certain minimum duration contributes certain physiological benefits. make classification behaviour consistent self-report data, sensitive duration specific duration. aid studying fragmentation behaviour. account sporadic nature behaviour working short epochs. define bout need answer series questions: cut-point ? epoch length ? minimum duration bout ? allow gaps bout breaks behaviour interest? yes 4, percentage bout duration, absolute minimum seconds, combination ? yes 4, bout gaps counted towards time spent bouts? first last epoch need meet threshold criteria? order bouts extracted? example, short MVPA bout part longer Inactivity bout two prevails? many bout categories ? GGIR facilitates following freedom bout detection: User decides : Acceleration thresholds light, moderate, vigorous intensity mvpathreshold part 2, threshold.lig, threshold.mod, threshold.vig part 5. Fraction time cut-point criteria need met (light, inactive, MVPA) boutcriter part 2 boutcriter.lig, boutcriter.mod, boutcriter.vig part 5. Bout duration range. part 2 mvpadur part 5 boutdur.lig, boutdur.mod, boutdur.mvpa. functionality slightly different part 2 part 5 discussed . Epoch length windowsizes part5_agg2_60second. User decide : Maximum bout gap 1 minute, fraction time cut-point criteria need met less 100% First last epoch need meet cut-point criteria. Number intensity levels, always: inactive, light MVPA. Order bouts calculated (1 MVPA; 2 inactive; 3 Light)","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"controlling-the-time-window-of-analysis","dir":"Articles","previous_headings":"","what":"Controlling the time window of analysis","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"discussed chapter 7, possible tell GGIR part 2 part 5 extract variables per segment day. parameter qwindow can find detailed discussion Annex Day segment analysis.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"key-parameters","dir":"Articles","previous_headings":"","what":"Key parameters","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"parameters needed MVPA estimates GGIR part 2 different parameters used estimating MVPA, LIPA Inactivity part 5.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"physical-activity-cut-point-parameter-ggir-part-2","dir":"Articles","previous_headings":"Key parameters","what":"Physical activity cut-point parameter GGIR part 2","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"GGIR part 2, MVPA estimated since sleep classified point. threshold(s) MVPA used GGIR part 2 set parameter mvpathreshold. can specify single value vector multiple values, time spent MVPA derived . GGIR part 2 always provides six distinct approaches MVPA calculation controlled parameters mvpathreshold, boutcriter, mvpadur, first element vector windowsizes. , MVPA provides time spent MVPA based : 5 second, 1 minute 5 minute epochs bouts 5 second epochs 3 different minimum bout duration specified parameter mvpadur.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"physical-activity-cut-point-parameter-ggir-part-5","dir":"Articles","previous_headings":"Key parameters","what":"Physical activity cut-point parameter GGIR part 5","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"bout durations used separate estimates used complimentary case part 5. example, specifying boutdur.mod = c(5, 10) part 5 result estimate time spent bouts lasting 5 till 10 minutes bouts lasting 10 minutes longer. example, simple scenario consider bouts minimum length 10 minutes, also possible subdivide bouts lasting [1, 5) [5, 10) [10, ∞) minutes. parameters related cut-points bout detection listed “Physical activity parameters”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter11_DescribingDataCutPoints.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"11. Physical Activity Fundamentals: Describing the data with cut-points","text":"GGIR part 2 csv reports find: Time spent MVPA GGIR part 5 csv reports find: Time spent MVPA Time spent LIPA Time spent inactivity (abbreviated ) chapter 7 discussed structure part 2 output. next chapter (chapter 12) provide detailed discussion part 5 output. overview output variables see GGIR output annex.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"creating-a-multi-variate-time-series-object","dir":"Articles","previous_headings":"","what":"Creating a multi-variate time series object","title":"12. Time-use Analysis","text":"first step need map happens recording. , GGIR code combines information derived parts 2, 3 4 multi-variate single time series object, including: Timestamp log data classified invalid. Average acceleration derived GGIR part 2, invalid epochs imputed acceleration metric used specified parameter acc.metric. Sleep classifications GGIR part 3 4. Behavioural class code, GGIR part 5 derives behavioural classes based magnitude acceleration sleep classification. exact number behavioural classes codified depends parameters set, constructed codified : sleep period time window: - Sleep - Wakefulness low acceleration - Wakefulness moderate acceleration - Wakefulness vigorous acceleration waking hours day: - Inactivity unbouted - Inactivity bouted, subdivided one multiple bout durations - Total inactivity time - LIPA unbouted - LIPA bouted, subdivided one multiple bout durations - Total LIPA time - Moderate activity unbouted - Vigorous activity unbouted - MVPA bouted, subdivided one multiple bout durations - Total MVPA time possible export time series generated, discussed towards end chapter.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"defining-the-time-windows","dir":"Articles","previous_headings":"","what":"Defining the time windows","title":"12. Time-use Analysis","text":"GGIR part 2 defined days midnight midnight, GGIR part 4 typically defined nights noon noon. access sleep timing, GGIR part 5 offers additional definitions day. However, given definitions day becoming different calendar day, refer windows data. GGIR part 5 facilitates following time window definitions, can selected parameter timewindow: “WW” “OO”, onset waking times guided estimates part 4, missing, part 5 attempt retrieve estimate guider method. Note parameter timewindow can consist one options beforementioned combination , example, default value timewindow = c(\"MM\", \"WW\"). recordings end night early morning sleep estimates night likely affected. example, recording ends 10am sure participant sleep 10am, recording ends 2am sure sleep onset time reliably estimated. handle ignore final window data, set parameter require_complete_lastnight_part5 = TRUE (default).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"defining-segments-within-the-mm-window","dir":"Articles","previous_headings":"Defining the time windows","what":"Defining segments within the MM window","title":"12. Time-use Analysis","text":"default GGIR segments window waking hours day (referred day) sleep period time window (referred spt). Additionally, timewindow set “MM”, day segment specific analysis performed based segments defined parameters qwindow . Please see annex day segmentation information.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"metrics-calculated-per-window-and-per-segment","dir":"Articles","previous_headings":"","what":"Metrics calculated per window and per segment","title":"12. Time-use Analysis","text":"GGIR provides following metrics time windows calculated, .e., full day, awake time, sleep period time, well (optionally) day segments might provided via parameter qwindow. Duration: Time spent minute per behavioural class. Acceleration: Average acceleration per behavioural class Number blocks: Number blocks per behavioural class, distinction made bouted unbouted, except total number blocks per intensity levels (Nblocks_day_total_IN, Nblocks_day_total_LIPA, Nblocks_day_total_MOD, Nblocks_day_total_VIG). Number bouts: Number bouts per behavioural class. Fragmentation: fragmentation metrics discussed previous chapter. distinction made bouted unbouted behavour. Note fragmentation classes sometimes group multiple intensity levels, e.g. fragmentation physical activity reflects fragmentation LIPA MVPA combined relative Inactive time. side note - multiply Acceleration Duration given class, combine information variables, arrive volume measure behaviour. similar construct calories time. think much richer way describing data opposed conventional approach looks either time spent per behavioural class average acceleration entire day.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"complementary-variables","dir":"Articles","previous_headings":"Metrics calculated per window and per segment","what":"Complementary variables","title":"12. Time-use Analysis","text":"primary interest sleep research recommend work GGIR part 4 reports. However, want look interactions behaviour sleep, GGIR part 5 reports include sleep estimates used part 5 analysis. Note part 5 criteria sleep estimate inclusion different part 4. part 5 happy estimate, even accelerometer worn night. Additionally, part 5 also come duration awake time, sleep period time, full-day windows, percentage non-wear (read invalid data, typically non-wear).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"seemingly-overlapping-variables-between-ggir-part-2-and-part-5-output","dir":"Articles","previous_headings":"Metrics calculated per window and per segment","what":"Seemingly overlapping variables between GGIR part 2 and part 5 output","title":"12. Time-use Analysis","text":"might noticed, variables reported GGIR part 2 part 5, average acceleration bouts moderate--vigorous physical activity. However, please note values necessarily identical following reasons: Times MVPA can happen . part 2 MVPA can happen time day, never overlap midnight. part 5 MVPA happens waking hours single day, can overlap midnight midnight part sleep period time window. use dayborder parameter value equal zero: midnight scenario actually midnight time set parameter dayborder, e.g. 2 equates 2am. . Difference epoch length. GGIR part 5 comes possibility aggregate epochs 60 seconds parameter part5_agg2_60seconds. parameter set TRUE, full time series aggregated 60 seconds, contrast default 5 second epoch length used part 2. Different time window definition. GGIR part 2 always uses “MM” definition days. GGIR part 5, option define days different ways (see ).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"exporting-time-series","dir":"Articles","previous_headings":"Metrics calculated per window and per segment","what":"Exporting time series","title":"12. Time-use Analysis","text":"export time series set parameter save_ms5rawlevels = TRUE. GGIR part 5 store subfolder meta/ms5.outraw subfolder named unique MVPA threshold combination used. behavioral classes included numbers, legend classes numbers stored separate legend file meta/ms5.outraw folder named “behavioralcodes2020-04-26.csv” date correspond date ran GGIR. Note time series exported GGIR part 5 includes acceleration metric specified parameter acc.metric (default = “ENMO”), angle metrics selected, angle metrics. want explore multiple acceleration metric values, please see documentation parameter epochvalues2csv discussed chapter 3. Additional input parameters may interest: save_ms5raw_format character string specify data stored: either “csv” (default) “RData”. used save_ms5rawlevels=TRUE. save_ms5raw_without_invalid Boolean indicate whether remove invalid days time series output files. used save_ms5rawlevels=TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"key-arguments","dir":"Articles","previous_headings":"","what":"Key arguments","title":"12. Time-use Analysis","text":"threshold.lig, threshold.mod, threshold.vig boudur., boutdur.lig, boutdur.mvpa boutcriter., boutcriter.lig, boutcriter.mvpa frag.metrics timewindow part5_agg2_60seconds save_ms5rawlevels save_ms5raw_format save_ms5raw_without_invalid","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"12. Time-use Analysis","text":"https://cran.r-project.org/web/packages/GGIR/vignettes/GGIR.html#43_Output_part_5 find detailed discussion part 5 output. summary, part 5 produces following files. - Day level summary - Person level summary - Day level summary behaviour per segment day - analysis - Person level summary behaviour per segment day - Variable dictionary (see ) - Time series - Pdf reports vsiualisation","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter12_TimeUseAnalysis.html","id":"variables-dictionary","dir":"Articles","previous_headings":"Related output","what":"Variables dictionary","title":"12. Time-use Analysis","text":"Considering different time window segmentation options, number metrics calculated, different aggregation strategies (.e., plain averages, weighted averages, -optionally- weekday weekend-day averages), number variables exported Part 5 can high. help understanding interpretation variables, GGIR Part5 exports variable dictionary daysummary personsummary csv reports. dictionaries include list variable names calculated analyses together definition variables.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"mxlx","dir":"Articles","previous_headings":"","what":"MXLX","title":"13. Circadian Rhythm Analysis","text":"MXLX looks continuous least (LX) (MX) active X hour window day, X defined parameter winhr. LX MX, GGIR calculates average acceleration, start time, argument iglevels specified also intensity gradient. parameter winhr vector MX LX derived value vector. Within GGIR part 2 MXLX calculated per calendar day , argument qwindow specified, per segment day. Within GGIR part 5 MXLX calculated per window. used combination GENEActiv Axivity accelerometer brands, LUX estimates per LX MX also included GGIR part 5 csv reports. MX metric described confused MX metrics proposed Rowlands et al. looks accumulated active time may always continuous time. MX metrics Rowlands et al. discussed .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"extended-cosinor-analysis","dir":"Articles","previous_headings":"","what":"(Extended) Cosinor analysis","title":"13. Circadian Rhythm Analysis","text":"Cosinor analysis quantifies circadian 24 hour cycle. Cosinor analysis refers fitting cosine function log transformed time series, extended cosinor analysis refers fitting non-linear transformation traditional cosinor curve Marler et al. Statist. Med. 2006 (doi: 10.1002/sim.2466). Corinos analyssis run default, tell GGIR perform analyse specify parameter cosinor = TRUE. implementation follows: acceleration metric specified parameter acc.metric used. Acceleration metric values averaged per minute expressed mg input g, log transformed log(acceleration + 1). Invalid data points caused non-wear set missing (NA) want imputation used elsewhere GGIR influence Cosinor analysis. imputation technique generally come assumptions circadian rhythm. part 2 GGIR uses valid data recording part 6 use valid data interval defined parameter part6Window, e.g. first wake-time till last wake-time. GGIR looks first valid data point time series selects maximum integer number recording days following data point. Day Saving Time occurs time series duplicated timestamps clock moves backward ignored missing timestamps clock moves forward inserted missing values. Cosinor models fitted using functions ActCosinor ActExtendCosinor R package ActCR. , ActExtendCosinor uses anti-logistic function transformation. time offset start time series used following midnight used reverse offset ActCR results, ensure acrophase acrotime can interpreted relative midnight. Time series corresponding fitted models stored inside part 2 milestone data stored output subfolder meta/ms2.facilitate visual inspection. moment used GGIR visualisation, may want look try plot . stored object SUM$cosinor_ts.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"intradaily-variability-iv-and-interdaily-stability-is","dir":"Articles","previous_headings":"","what":"Intradaily Variability (IV) and Interdaily Stability (IS)","title":"13. Circadian Rhythm Analysis","text":"IV first proposed Witting W et al. 1990 van Someren EJ, et al. 1996. measures constant routine activity several days ranges 0 1, values close 1 indicate constant routine. IV measures variability activity hour hour throughout days. ranges 0 +∞\\infty, value close 2 indicates fragmented rhythm, >2 indicates ultradian rhythm (uncommon). GGIR implementation IV since GGIR release 3.1-6 described Danilevicz et al. 2024. implementation replaces experimental implementation IV present GGIR since release 1.5-1. experimental implementation sure go raw acceleration signal indicator active aspect documented original publications. Similarly, sure deal missing data. However, issues resolved release 3.1-6: active now defined mean acceleration metric value light physical activity threshold specified parameter threshold.lig. Missing values left missing imputed, algorithm now accounts . new implementation documented Danilevicz et al. 2024 compatible older experimental implementation. Parameters IVIS.activity.metric, IVIS_windowsize_minutes, IVIS_epochsize_seconds, IVIS_acc_threshold used longer needed deprecated. Cosinor analysis compatible IV sometimes used measure behavioural robustness conducting Cosinor analysis. However, work combination two outcomes seems important calculated time series. Therefore, cosinor = TRUE, IV calculated twice: part default IV analysis discussed , part Cosinor analysis using log transformed time series. Cosinor-compatible IV estimates stored output variables cosinorIV cosinorIS.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"phi","dir":"Articles","previous_headings":"","what":"phi","title":"13. Circadian Rhythm Analysis","text":"Phi indicates correlated multi-day acceleration time series hour shift, also known first-order auto-correlation first-order autoregressive model AR(1). higher phi value indicates higher autocorrelation, phi close zero even negative indicates fragmented behavior. detailed discussion phi see Dickey Fuller (1979) Danilevicz et al. 2024. Phi calculated default GGIR part 2 part 6 parameter part6CR set TRUE.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"self-similarity-paramerter-ssp","dir":"Articles","previous_headings":"Detrended fluctionation analysis (DFA)","what":"Self-similarity paramerter (SSP)","title":"13. Circadian Rhythm Analysis","text":"self-similarity paramter (SSP) also known scaling exponent alpha. SSP real number zero two. Values range (0, 1) indicate stationary motion behaviour. Values int range (1, 2 indicate nonstationary motion behaviour. details see Mesquita et al 2020 Danilevicz et al. 2024.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"activity-balance-index-abi","dir":"Articles","previous_headings":"Detrended fluctionation analysis (DFA)","what":"Activity Balance Index (ABI)","title":"13. Circadian Rhythm Analysis","text":"Activity Balance Index (ABI) introduced Danilevicz et al. 2024 transformation SSP. ABI measures activity observed period balanced, higher values reflect balanced pattern activity. ABI real number zero one calculated acceleration metric time series directly without need cut-points.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter13_CircadianRhythm.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"13. Circadian Rhythm Analysis","text":"MXLX derived per 24 hours (part 2) available per day part2_daysummary.csv, summarised per recording part2_summary.csv. MXLX derived per window (part6) stored recording summary part6_summary.csv. circadian rhythm variables derived recording level. IV, , phi, cosinor analysis variables stored part2_summary.csv part6_summary.csv, SSP ABI stored part6_summary.csv. detailed variable dictionary see annex GGIR output.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter14_BehaviouralFragmentation.html","id":"defining-fragments","dir":"Articles","previous_headings":"","what":"Defining fragments","title":"14. Behavioural fragmentation","text":"GGIR, fragment daytime defined sequence epochs belong one four categories: Inactivity Light Physical Activity (LIPA) Moderate Vigorous Physical Acitivty (MVPA) Physical activity (can either LIPA MVPA) categories represents combination bouted unbouted time respective categories. Inactivity physical activity add full day (outside SPT), well inactivity, LIPA MVPA. fragment SPT defined sequence epochs belong one four categories: Estimated sleep Estimated wakefulness Inactivity Physical activity (can either LIPA MVPA) parameter frag.metrics = \"\" can instruct GGIR part 5 derive behavioural fragmentation metrics. may want consider combining parameter part5_agg2_60seconds=TRUE aggregate time series 1 minute resolution common behavioural fragmentation literature. GGIR part 6 performs fragmentation analysis part6CR set TRUE. uses time series output generated part 5 discussed previous chapter. GGIR derives fragmentation metrics two ways: part 5 fragmentation quantified per waking hours day reported per day recording average daily estimates. part 6 fragmentation quantified based data recording within window specifed parameter part6Window. Calculation per day allows us explore possibly account behavioural differences days week. However, day level estimate considered less robust recording level estimates generated part 6. internal function g.fragmentation fragmentation metric calculation used part 5 6 ensuring calculation otherwise consistent.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter14_BehaviouralFragmentation.html","id":"fragmentation-metrics","dir":"Articles","previous_headings":"","what":"Fragmentation metrics","title":"14. Behavioural fragmentation","text":"Note fragmentation metrics discussed fragmentation metrics TP NFrag calculated SPT fragments. Coefficient Variance (CoV) calculated according Blikman et al. 2014, entails dividing standard deviation mean lognormal transformed fragment length (minutes). Transition probability (TP) Inactivity () Physical activity (IN2PA), Physical activity inactivity (PA2IN), LIPA MVPA calculated according Danilevicz et al. 2024. Gini index calculated function Gini ineq R package, ineq argument corr set TRUE. Power law exponent metrics: Alpha, x0.5, W0.5 calculated according Chastin et al. 2010. Note compared R package ActFrag described Junrui Di et al. 2017 use theoretical minimum fragment duration instead observed minimum fragment duration. Number fragment per minutes (NFragPM) calculated identical metric fragmentation index Chastin et al. 2012, renamed specific reflection calculation. term fragmentation index appears generic given fragmentation metrics inform us fragmentation. Please note close metrics transition probability, total number divided total sum duration equals 1 divided average duration. Although exact math slightly different.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter14_BehaviouralFragmentation.html","id":"conditions-for-calculation","dir":"Articles","previous_headings":"","what":"Conditions for calculation","title":"14. Behavioural fragmentation","text":"Metrics Gini CoV calculated least 10 fragments (e.g. 5 inactive 5 active). condition met metric value set missing. Metrics related power law exponent alpha also calculated least 10 fragments, additional condition standard deviation fragment duration zero. conditions met metric value set missing. metrics related binary fragmentation (mean_dur_PA mean_dur_IN), calculated least 2 fragments (1 inactive, 1 active). condition met value set zero. Metrics related TP calculated : least 1 inactivity fragment (1 LIPA 1 MVPA fragment). condition met TP metric value set zero. keep overview recording days met criteria non-zero standard deviation least ten fragments, GGIR part 5 stores variable Nvaliddays_AL10F person level (.e., number valid days least 10 fragments), SD_dur (.e., standard deviation fragment durations) day level well aggregated per person.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter14_BehaviouralFragmentation.html","id":"key-parameters","dir":"Articles","previous_headings":"","what":"Key parameters","title":"14. Behavioural fragmentation","text":"parameters related cut-points bout detection mainly parameters listed “Physical activity parameters”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter14_BehaviouralFragmentation.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"14. Behavioural fragmentation","text":"GGIR part 5 csv reports find: Fragmentation metrics day level per waking hours day GGIR part 6 csv report find: Fragmentation metrics overview output variables see GGIR output annex.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"a-brief-overview","dir":"Articles","previous_headings":"","what":"A brief overview","title":"1. What is GGIR","text":"GGIR R-package primarily designed process multi-day raw accelerometer data physical activity, sleep, circadian rhythm research. term raw refers data expressed gravitational units (1 g equal gravitational acceleration, average 9.81 m/s2) opposed previous generation accelerometers stored data accelerometer brand-specific units epoch level, typically 5, 30, 60 seconds length. Despite focus raw data, GGIR also offers functionality process previous-generation accelerometer data. signal processing raw data includes many steps explained pages. example, automatic calibration gravity, detection abnormally high values, imputation raw-level time gaps (specific sensor brands), calculation orientation angle average magnitude acceleration based variety metrics. Next, signal processing raw previous-generation data continue detection non-wear epoch-level imputation. Finally, GGIR uses information describe data data quality data summary metrics interpreted estimates physical activity, inactivity, sleep, circadian rhythm. time resolutions GGIR output : Per recording, typically matches one participant ID. Calendar day option specify day border timing midnight default. Night period time participant likely main daily sleep period, initial focus time window defined noon noon next day, unless person wakes noon next day, case focus shifts 6pm 6pm next day. Day segment, can defined via code indicate timing segments within day standardised recordings days dataset via diary file, segment definition allowed vary per recording day. Window defined Waking-main sleep period Waking-next main sleep period. Window defined Sleep onset start main sleep period sleep onset start next main sleep period. Epoch-level time series, epoch length set user example 5 seconds. (Optionally, default) Per sequence recordings matching participant IDs. example, person tracked first one accelerometer accelerometer replaced different accelerometers. details use , see documentation GGIR parameter maxRecordingInterval documentation use GGIR parameters explained .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"key-strengths","dir":"Articles","previous_headings":"","what":"Key strengths","title":"1. What is GGIR","text":"GGIR permissive open-source software license maximise re-use collaboration. GGIR applicable data multiple sensor brands file formats. GGIR facilitates sleep, physical activity, circadian rhythm research. GGIR extensive quantitative output designed use quantitative research. GGIR designed computationally efficient option store re-use intermediate milestone data option process multiple files parallel computer discussed Chapter 2. GGIR designed accessible new users without experience R programming. GGIR requires one function call comes elaborate open-access documentation. Additionally, paid training courses offered maximise opportunity users learn GGIR us learn users. GGIR dozen code contributors. GGIR available CRAN archive, meaning meets CRAN standards release gone series automated checks. public email list (google group) users reach maintainers. hundreds publications used GGIR, powerful way identify problems improve code provided us wide range reference values.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"history","dir":"Articles","previous_headings":"","what":"History","title":"1. What is GGIR","text":"elaborate reflection GGIR’s first 10 years existence can found blog post. short, GGIR evolved series R scripts used research around 2010-2012 first release 2013. key factor growth GGIR adoption research community willingness variety researchers invest GGIR either terms time investment financially. GGIR without efforts.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"flexible-and-accessible","dir":"Articles","previous_headings":"Philosophy behind GGIR","what":"Flexible and accessible","title":"1. What is GGIR","text":"research field highly heterogeneous : choice sensor brand, data format, study protocols used, research questions tries answer. time many within field lack time skills write custom data processing software. GGIR aims flexible handle different scenarios time remain accessible lack time skills write software. , hope GGIR use without financial resources commercial software, although like stress charity depend paid unpaid contributions community.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"algorithm-design","dir":"Articles","previous_headings":"Philosophy behind GGIR","what":"Algorithm design","title":"1. What is GGIR","text":"philosophy behind algorithms implemented GGIR biomechanical explainable (heuristic knowledge driven) approaches measurement science preferable purely data-driven approaches. Please note specification scientific context rather measurement general, e.g. consumer wearables. knowledge driven approach unrealistic can consider data-driven approach. idea knowledge driven approach order advance insight, essential understanding causal relation phenomena observed (e.g. acceleration one body part), way (acceleration) sensor works, data produced, interpret data. example, know body acceleration relates energy expenditure physics human physiology. abundance scientific publications reported positive correlation accelerometer data energy expenditure served confirm prior knowledge. contrast, data-driven methods focus optimal correlation sensor data reference labels values, much less concerned causal associations focus knowledge driven approaches, defined . Identical correlation necessarily equal causation health research, process measurement can also confounded. examples: may see differences body acceleration patterns correlate different activity types different levels energy expenditure, mean actually measure activity types energy expenditure levels. Ignoring distinction can easily lead overestimating value accelerometer measuring constructs (activity type, etc) underestimate value accelerometer capturing acceleration useful measure behaviour, appropriately used interpreted. second problem data-driven methods heavily depend availability reliable criterion methods. argue reliable criterion methods exist physical behaviour measurement: Indirect calorimetry indicators energy metabolism can derived unable account activity type specific role body weight energy metabolism. makes impossible make standardised comparison energy cost different activity types across individuals differ body weight. See also reflections blog post. Polysomnography (PSG) standard sleep research. PSG offers physiological definition sleep impossible capture directly movement sensor. Therefore, forced simplify definition ‘sleep’ towards definition can captured movement sensor. result, act evaluating accelerometer ability classify sleep PSG becomes somewhat meaningless already know measuring construct PSG. Activity types ambiguous define given high number ways can performed. introduces fundamental level uncertainty robustness models outside datasets context developed . result, essential put strong emphasis algorithms descriptive value regardless whether offer high correlation supposed criterion methods.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"permissive-open-source-license","dir":"Articles","previous_headings":"Philosophy behind GGIR","what":"Permissive open-source license","title":"1. What is GGIR","text":"may sound obvious research software open-source, fields physical activity sleep research, far accepted approach. GGIR one research tools field permissive license aimed maximise potential re-use collaboration.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter1_WhatIsGGIR.html","id":"documentation-structure-and-origin","dir":"Articles","previous_headings":"","what":"Documentation structure and origin","title":"1. What is GGIR","text":"structured chapters line GGIR training course organising recent years. documentation existed collection ad-hoc written paragraphs, lacked clear overarching structure narrative. result, difficult use documentation training course. , also wanted provide good level documentation follow course want refresh understanding GGIR. documentation mainly written narrative style tried explain theory practice GGIR functionalities. mentioned , GGIR offers vast amount functionality. arrive expectation find quick instruction run use GGIR research disappoint . Learning use GGIR requires time investment. Everything need type R script highlighted like . documentation intended academic review: cite publications clarify origin algorithms discuss part GGIR. Finally, first version documentation sponsored Accelting commitment remain available free open-access documentation. However, open documentation much easier maintain community: grateful help improve documentation either giving feedback (e.g. via v.vanhees accelting dot com), pull requests (know ), financially. example, great funding creating high quality complementary info graphics videos.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"the-ggir-function","dir":"Articles","previous_headings":"","what":"The GGIR function","title":"2. The GGIR pipeline","text":"brief introduction unfamiliar R software, R packages constructed sub-components, named functions. single function typically allows specific task. example, may sum function sums numbers provide . function can one multiple parameters control functions behaviour. R parameters call function arguments. example, sum argument na.rm control needs done missing values. GGIR refer arguments parameters. GGIR comes large number functions parameters together form processing pipeline. ease interacting GGIR, one central function act interface functionality. function also named GGIR. need learn work function GGIR, important understand background function interacts functions GGIR. , important understand GGIR package structured two complementary ways: Parts: Reflecting computational components running GGIR. GGIR 6 parts numbered 1 6 reflect order executed. reason GGIR split parts avoids re-run preceding parts want make small change downstream parts. parts together form pipeline. Parameter themes: Reflecting themes around user can control GGIR, e.g. controlling sleep detected controlling output stored stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"parts-of-the-pipeline","dir":"Articles","previous_headings":"The GGIR function","what":"Parts of the pipeline","title":"2. The GGIR pipeline","text":"GGIR, computational structure six parts applied sequentially data: Part 1: Loads data, works data quality, stores derived summary measures per time interval, also known signal features metrics, needed following parts. Part 2: Basic data quality assessment based extract metrics description data per day, per file, optionally per day segment. Part 3: Estimation rest periods, needed input Part 4. Part 4: Labels rest periods derived Part 3 sleep per night per file. Part 5: Compiles time series classification sleep physical behaviour categories re-using information derived part 2, 3, 4. includes detection behavioural bouts, time segments behaviour sustained duration specified user. Next, Part 5 generates descriptive summary time spent average acceleration per behavioural category, also behavioural fragmentation. Part 6: Facilitates analyses span full recording household co-analysis circadian rhythm analysis. specific order content parts evolved time, Part 1 2 created 2011-2013, Part 3 4 created 2013-2015, Part 5 created 2017-2020, Part 6 created 2023-2024. , parts also reflect historical expansion GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"milestone-data","dir":"Articles","previous_headings":"The GGIR function > Parts of the pipeline","what":"Milestone data","title":"2. The GGIR pipeline","text":"part, run, stores output R-data file .RData extension, refer milestone data. user, unlikely ever need interact directly milestone data files relevant output stored csv pdf files output folder results. milestone files read next GGIR part. advantage design offers internal modularity. example, can run part 1 now continue part 2 another time without repeat part 1 . , design eases re-processing also helpful us developing testing GGIR code. milestone data files stored sub-folders output folder show . Note output folder named output_mystudy example exact name may differ . part 1: output_mystudy/meta/basic. part 2: output_mystudy/meta/ms2.. part 3: output_mystudy/meta/ms3.. part 4: output_mystudy/meta/ms4.. part 5: output_mystudy/meta/ms5.. part 6: output_mystudy/meta/ms6.. milestone files potentially useful following reasons: copying milestone files new computer, may continue analyses without access original data files. can example helpful process subsets study different computers, pooling resulting milestone data allows finalise analysis single computer. Remember preserve folder structure. run problem, milestone files may allow share problem reproducible example problem without share original large data file.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"parameter-themes","dir":"Articles","previous_headings":"The GGIR function","what":"Parameter themes","title":"2. The GGIR pipeline","text":"parameters GGIR package functions can used parameter GGIR function. parameters internally grouped thematically, independently six parts used : params_rawdata: parameters related handling raw data resampling calibrating. params_metrics: parameters related aggregating raw data epoch level summary measures (metrics). params_sleep: parameters related sleep detection. params_phyact: parameters related physical ()activity. params_247: parameters related 24/7 behaviours fall typical sleep physical ()activity research category measures circadian rhythm 24 hour data description techniques. params_output: parameters relating whether output stored. params_general: general parameters covered categories GGIR user need remember theme parameter belongs . However, may notice documentation structure parameter theme ease navigating parameters. couple ways inspect parameters parameter category default values:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"ggir-function-documentation","dir":"Articles","previous_headings":"The GGIR function > Parameter themes","what":"GGIR function documentation:","title":"2. The GGIR pipeline","text":"","code":"?GGIR"},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"parameters-vignette","dir":"Articles","previous_headings":"The GGIR function > Parameter themes","what":"Parameters vignette:","title":"2. The GGIR pipeline","text":"Documentation meaning parameter, default value, expected value(s) can found vignette: GGIR configuration parameters.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"from-r-command-line","dir":"Articles","previous_headings":"The GGIR function > Parameter themes","what":"From R command line:","title":"2. The GGIR pipeline","text":"interested one specific category like sleep: interested e.g. parameter HASIB.algo sleep_params object: parameters accepted parameter function GGIR, GGIR like shell around GGIR functionality. However, params_ objects provided input GGIR.","code":"library(GGIR) print(load_params()) library(GGIR) print(load_params()$params_sleep) library(GGIR) print(load_params()$params_sleep[[\"HASIB.algo\"]])"},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"configuration-file-","dir":"Articles","previous_headings":"The GGIR function > Parameter themes","what":"Configuration file.","title":"2. The GGIR pipeline","text":"GGIR stores parameter values csv-file named config.csv. file stored run GGIR root output folder, overwriting existing config.csv file. , like add annotations file, e.g. fourth column, need store somewhere outside output folder specify path file parameter configfile. Note parameters datadir outputdirdiscussed always need specified directly part configfile. practical value eases replication analysis, instead share R script colleagues, sharing config.csv file sufficient. Please make sure GGIR R version installed using reproducibility. See guidance install older package versions.","code":"library(GGIR) GGIR(datadir = \"C:/mystudy/mydata\",      outputdir = \"D:/myresults\",       configfile = \"D:/myconfigfiles/config.csv\")"},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"parameter-extraction-order","dir":"Articles","previous_headings":"The GGIR function > Parameter themes","what":"Parameter extraction order","title":"2. The GGIR pipeline","text":"parameters provided GGIR call, GGIR always uses . parameters provided GGIR call, GGIR checks whether config.csv file either output folder specified via parameter configfile loads values. parameter neither specified GGIR function call available config.csv file, GGIR use default value’s can inspected discussed section . , important realise consequence logic GGIR revert default parameter values repeated run GGIR unless remove parameter function call delete config.csv file specify original (default) value parameter explicitly GGIR call. ensure clear example: GGIR used first time without specifying parameter mvpathreshold, use default value, 100. specify mvpathreshold = 120, GGIR use instead store config.csv file. run GGIR time delete mvpathreshold = 120 GGIR call, GGIR fall back value 120 now stored config.csv file. delete config.csv file run GGIR , value 100 used .","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"raw-data","dir":"Articles","previous_headings":"Input files","what":"Raw data","title":"2. The GGIR pipeline","text":"GGIR currently works following accelerometer brands formats: GENEActiv .bin Axivity AX3 AX6 .cwa ActiGraph .csv .gt3x (.gt3x newer format generated firmware versions 2.5.0. Serial numbers start “NEO” “MRA” firmware version 2.5.0 earlier use older format .gt3x file). want work .csv exports via commercial ActiLife software, note option export data timestamps, turned . cope absence timestamps GGIR calculate timestamps sample frequency, start time, start date presented file header. Movisens data stored folders. accelerometer brand generates csv output, see documentation functions read.myacc.csv parameter rmc.noise vignette Reading csv files raw data GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"externally-derived-epoch-level-data","dir":"Articles","previous_headings":"Input files","what":"Externally derived epoch-level data","title":"2. The GGIR pipeline","text":"default GGIR assumes data raw discussed chapter 1. However, studies raw data available epoch level aggregate. example, done external software done inside accelerometer device. Although can introduce severe limitations transparency flexibility analysis, GGIR makes attempt facilitate analysis externally performed aggregations raw data. Please find overview file format currently facilitated: Note: Actiwatch ActiGraph, physical activity description sleep classification needs tailored count-specific algorithms: .neishabouricounts = TRUE, acc.metric = \"NeishabouriCount_x\", HASPT.algo = \"NotWorn\" HASIB.algo = \"NotWorn\"; Note 2: UK Biobank csv epoch data, GGIR facilitate sleep analysis arm angle exported. See GGIR CookBook example recipes working external data. process files, GGIR loads content saves GGIR part 1 milestone data, essentially fooling rest GGIR think GGIR part 1 created based raw data input. discussed chapter 3, GGIR non-wear detection two steps: first step done part 1 second step done part 2. relation externally derived epoch data non-wear detected looking consecutive zeros one hour (Actiwatch, ActiGraph) derived file (UK Biobank csv). accelerometer data need analysed stored one folder subfolders folder. Make sure folder contain files accelerometer data. Choose appropriate name folder, preferable reference study project related rather just ‘data’, name folder used identifier dataset integrated name output folder GGIR creates.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"how-to-run-your-analysis","dir":"Articles","previous_headings":"","what":"How to run your analysis?","title":"2. The GGIR pipeline","text":"bare minimum input needed GGIR : Parameter datadir allows specify stored accelerometer data outputdir allows specify like output analyses stored. equal datadir. copy paste code new R script (file ending .R) Source R(Studio), dataset processed output stored specified output directory. GGIR refers file directories folders. unfamiliar term directory: folder. Next, can add parameter mode tell GGIR part(s) run, e.g. mode = 1:5 tells GGIR run five parts default. parameter overwrite, can tell GGIR whether overwrite previously produced milestone data . , parameter idloc tells GGIR find participant ID. default setting likely work data formats, important tailor value parameter study setting. example, files start participant ID followed underscore set idloc=2. See documentation parameter idloc examples. GGIR stores output csv files comma default column separator dot default decimal separator standard UK/US. However, computer configured different region world can modified parameters sep_reports dec_reports, respectively.","code":"library(GGIR) GGIR(datadir = \"C:/mystudy/mydata\",      outputdir = \"D:/myresults\")"},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"from-the-r-console-on-your-own-desktoplaptop","dir":"Articles","previous_headings":"How to run your analysis?","what":"From the R console on your own desktop/laptop","title":"2. The GGIR pipeline","text":"Create R-script put library(GGIR) next line GGIR call GGIR(datadir=\"yourdatapath\", outputdir=\"yourdatapath\"). Next, can source R-script source button RStudio: source(\"pathtoscript/myshellscript.R\") GGIR default supports multi-thread processing used process one input file per process, speeding processing data. can turned setting parameter .parallel = FALSE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"in-a-cluster","dir":"Articles","previous_headings":"How to run your analysis?","what":"In a cluster","title":"2. The GGIR pipeline","text":"processing data GGIR desktop/laptop fast enough, advise using GGIR computing cluster. way Sun Grid Engine cluster shown . Please note commands specific computing cluster working . Please consult local cluster specialist explore run GGIR cluster. , share . three files SGE setting: submit.sh run-mainscript.sh myshellscript.R need update ... last line parameters used GGIR. Note f0=f0,f1=f1 essential work. values f0 f1 passed bash script. setup, need call bash submit.sh command line. help computing clusters, GGIR successfully run world’s largest accelerometer datasets UK Biobank German NAKO study.","code":"for i in {1..707}; do     n=1     s=$(($(($n * $[$i-1]))+1))     e=$(($i * $n))     qsub /home/nvhv/WORKING_DATA/bashscripts/run-mainscript.sh $s $e done #! /bin/bash #$ -cwd -V #$ -l h_vmem=12G /usr/bin/R --vanilla --args f0=$1 f1=$2 < /home/nvhv/WORKING_DATA/test/myshellscript.R options(echo=TRUE) args = commandArgs(TRUE) if(length(args) > 0) {   for (i in 1:length(args)) {     eval(parse(text = args[[i]]))   } } GGIR(f0=f0,f1=f1,...)"},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"processing-time","dir":"Articles","previous_headings":"","what":"Processing time","title":"2. The GGIR pipeline","text":"time process typical seven-day recording anywhere 3 10 minutes depending sample frequency recording, sensor brand, data format, exact configuration GGIR, specifications computer. observing processing times 20 minutes longer seven-day recording probably slowed factors. tips may able address : Make sure data process machine GGIR run. Processing data located somewhere else computer network can substantially slow software. Make sure machine 8GB RAM memory. Using GGIR old machines 4GB known slow. However, total memory bottle neck. Also consider number processes (threads) CPU can run relative amount memory. Ending 2GB per process seems good target. can helpful turn parallel processing .parallel = FALSE. Avoid computational activities machine running GGIR. example, use DropBox OneDrive make sure sync running GGIR. probably best use machine using GGIR process large datasets. Make sure machine configured automatically turn X hours terminate GGIR. , may want configure machine fall asleep pauses GGIR. Lower value parameter maxNcores default uses number available cores derived command parallel::detectCores() minus 1. might cases demanding operating system. Reduce amount data GGIR loads memory parameter chunksize, can useful machines limited memory processing many files parallel. chunksize value 0.2 make GGIR load data chunks 20% size relative chunks loads default, approximately 12 hours data auto-calibration routine 24 hours data calculation signal metrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter2_Pipeline.html","id":"ggir-output","dir":"Articles","previous_headings":"","what":"GGIR output","title":"2. The GGIR pipeline","text":"GGIR always creates output folder location specified parameter outputdir. output folder name constructed output_ followed name dataset derived distal folder name data directory specified datadir. recommend approach ensures output folder data directory matching names. way less likely confusion data folder output relates . However, possible use datadir specify vector paths individual files, may helpful want process set files position move new folder. scenario, need set parameter studyname tell GGIR dataset name . Inside output folder GGIR create two subfolders: meta results discussed earlier chapter. Inside results find folder named QC (Quality Checks). name QC (Quality Checks) possibly somewhat confusing. Data quality checks best started files stored results folder, files QC subfolder offer complementary information help quality check. GGIR generates reports parts 2, 4, 5, 6 pipeline. parameter .report can specify parts want reports generated. example, .report = c(2, 5) generate report parts 2 5. full GGIR analysis expect least following output files: Output files results subfolder: detailed discussion output can found chapters. Output files results/QC subfolder: detailed discussion output can found chapters. Output files meta/ms5.outraw subfolder: detailed discussion output can found chapters.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"time-gaps-identification-and-imputation","dir":"Articles","previous_headings":"","what":"Time gaps identification and imputation","title":"3. Data Quality Assurance","text":"Accelerometer data stored binary format (e.g. .bin .cwa) typically structured data blocks. data block header top constant number data points per block, usually equivalent seconds data. Axivity accelerometer data stored ‘.cwa’ file format blocks can, rare occasions, corrupted unreadable, therefore creating gap information recorded. ActiGraph accelerometer, also sensor brands export data ‘csv’ file format, possible recording stops certain time starts recording time, therefore creating time gap. GGIR developed efficiently identify manage time gaps.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"time-gaps-in-axivity-cwa-files","dir":"Articles","previous_headings":"Time gaps identification and imputation","what":"Time gaps in Axivity cwa files","title":"3. Data Quality Assurance","text":"Although expected occur often, Axivity cwa data can come faulty data blocks. ‘faulty’ mean data block interpretable. example, faulty blocks may occur device recording mode connected computer USB cable. address , R package GGIRread, used GGIR read cwa files, identifies faulty blocks imputes last recorded non-faulty acceleration value normalised 1 g (g unit gravitational acceleration). sampling rate accelerometer refers number data points recorded stored per second. Axivity devices expected design slightly variable sampling rate time, accounted interpolating data loaded R. example, data may collected 99.7 Hertz one block, interpolation technique interpolate data 100 Hertz. interpolation happens inside R package GGIRread. exact technique used interpolation set parameter interpolationType uses linear interpolation default (interpolationType = 1), can also set nearest neighbour interpolation (interpolationType = 2). quality assurance, GGIRread keeps track variation sampling rate per data block automatically imputes blocks (smallest segment data cwa file, typically seconds long) sampling rate deviates 10% expected sampling rate. imputation technique time gaps detailed earlier section. unhappy 10% threshold possibility changing percentage parameter frequency_tol. Biased sampling rates kind expected extremely rare expected affect normal research conditions, nonetheless like able account . Additionally, monitor process handling faulty blocks outliers sampling rate, GGIRread logs series file health statistics stored GGIR ‘data_quality_report.csv’ file located within ‘QC’ folder output directory ‘results’ (see previous chapter discussion GGIR output). data quality report, comes variable names prefixed ‘filehealth’, detailing number duration time gaps detected recording(s), well number epochs 5-10% 10% bias sampling rate.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"time-gaps-in-actigraph-gt3x-and-ad-hoc-csv-files","dir":"Articles","previous_headings":"Time gaps identification and imputation","what":"Time gaps in ActiGraph gt3x and ad-hoc csv files","title":"3. Data Quality Assurance","text":"manufacturers incorporate functionalities devices let stop recording long episode movement, aiming conserve battery life reduce data size. However, feature results recorded signals containing intermittent time gaps must accounted data processing. example, ActiGraph option called ‘idle sleep mode’ devices, pauses data collection movement detected sustained period time. ActiGraph’s idle sleep mode explained manufacturer’s website. time gaps data considered non-wear time GGIR. GGIR imputes gaps shorter 90 minutes raw data level, using last recorded value (meaning gap) normalised 1 g. approach assumes accelerometer kept orientation last observed. contrary, gaps longer 90 minutes imputed epoch level make data processing memory efficient faster. epoch level imputation discussed chapter 6. number duration time gaps found logged GGIR ‘data_quality_report.csv’ file located within ‘QC’ folder output directory ‘results’ (see previous chapter discussion GGIR output). Studies often forget clarify whether accelerometers configured pause data collection periods movement , , resulting time gaps accounted data processing. Especially, device firmware manufacturer software already imputes time gaps can cause significant bias GGIR estimates. generally speaking, advise : Report whether ‘idle sleep mode’ similar functionalities used. Disable functionality, possible, harms transparency reproducibility research. Indeed, mechanism exists replicate time gaps accelerometer brands, likely challenge accurate assessment sleep sedentary behaviour. data collected ‘idle sleep mode’ similar functionalities referred raw data accelerometry, data collection process involved proprietary pre-processing steps violate core principle raw data collection.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"specific-note-on-actigraph-idle-sleep-mode","dir":"Articles","previous_headings":"Time gaps identification and imputation","what":"Specific note on ActiGraph idle sleep mode","title":"3. Data Quality Assurance","text":"ActiGraph files might exported gt3x csv formats. idle sleep mode used, data files different. gt3x files, time gaps can found signal, imputation made ActiLife software. However, csv files exported ActiLife imputed values three axes periods movement. Note imputation ActiLife software changed point time. Initially imputation zeros recent versions ActiLife imputation uses last recorded value axis. Therefore, need aware GGIR take care time gap imputation relative idle sleep mode using gt3x files, using ActiGraph csv files (latter come time gaps already imputed).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"accelerometer-sensor-calibration","dir":"Articles","previous_headings":"","what":"Accelerometer sensor calibration","title":"3. Data Quality Assurance","text":"Many measurement tools require calibration ranging weighting scales Oxygen sensor accelerometers. Without good calibration risk error causes lack calibration undermines accurate reliable measurement. Confusingly accelerometers, field long time assumed accelerometer need calibrated relative energy expenditure. incorrect energy expenditure entirely different construct. true reference accelerometer sensors acceleration can calibrate gravitational acceleration reference. acceleration sensor works based principle acceleration captured mechanically converted electrical signal. relationship electrical signal acceleration usually assumed linear, involving offset gain factor. familiar terms, compare simple regression equation offset Beta0 (Y-intercept) gain Beta1 (slope). Therefore, offset number add signal adjust systematic error (bias) gain number multiply signal scale , order adjust relative error. shall refer establishment offset gain factor sensor calibration procedure. three types calibration: Factory calibration, done industry (always done, may need refinement afterward). Manual calibration, done researcher (advisable cases even possible. Auto-calibration, done algorithms real life study data (common scenario refine factory calibration). Accelerometers usually calibrated part manufacturing process non-movement conditions using local gravitational acceleration reference, referred factory calibration. manufacturer calibration can later evaluated holding sensor axis parallel () perpendicular direction gravity; readings axis ±1.000 0.000 g, respectively. one derive correction coefficients per axis. However, procedure can cumbersome studies high throughput. Furthermore, calibration check possible data collected past corresponding accelerometer device exist anymore. reason calibraton advisable cases possible. Finally, auto-calibration type calibration done algorithm using already collected real world data withoutb need additional experiments, explain detail.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"auto-calibration-algorithm","dir":"Articles","previous_headings":"Accelerometer sensor calibration","what":"Auto-calibration algorithm","title":"3. Data Quality Assurance","text":"general principle techniques recording acceleration screened non-movement periods. Next, rolling average non-movement periods taken three orthogonal sensor axes used generate three-dimensional ellipsoid representation ideally sphere radius 1 g. , deviations radius three-dimensional ellipsoid 1 g (ideal calibration) can used derive correction factors sensor axis-specific calibration error. auto-calibration performed GGIR uses technique detailed description demonstration can found published paper. success auto-calibration depends number non-movement periods variation accelerometer orientation periods available algorithm. result, auto-calibration expected perform less short recordings (e.g., less day) recordings participant wear accelerometer time. cases, can use recordings sensor -movement periods higher variation orientations derive calibration coefficients, apply coefficients recording interest. , use parameter backup.cal.coef. auto-calibration algorithm applied default can turned parameter .cal = FALSE. recommend turning auto-calibration unless strong reasons .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"non-wear-detection","dir":"Articles","previous_headings":"","what":"Non-wear detection","title":"3. Data Quality Assurance","text":"can happen study participant wear accelerometer. can happen variety reasons: getting tired wearing accelerometer, forgetting put accelerometer back short moment wearing , getting instructed researcher take . However, accelerometer worn, still collect data. accelerometer lying still, data collected looks like participant supposed wear moving. left undetected, wearing accelerometer bias estimates time spent inactive behaviours. Accelerometer non-wear time detected GGIR looking standard deviation range raw acceleration signals. time window statistical values calculated long enough, turn reliable indicators whether accelerometer worn . specifically, standard deviation value range (.e., maximum value minus minimum value) calculated per 60 minute windows start every 15 minutes (e.g. 14:00, 14:15, etc.) . overlapping nature time windows needed improve precision. time window labelled non-wear, least statistical values 2 3 axes meet brand specific thresholds. result, since multiple overlapping time windows classify 15 minutes, 15 minute window classified multiple times. non-wear criteria met windows overlap 15-minute window, labelled non-wear. brands 13.0 mg less 50 mg. size time window (60 minutes) size time intervals 15 minutes defined parameter windowsizes, three values. specifically, first value used non-wear detection discussed next chapter, second value defines mentioned intervals 15 minutes , third value mentioned 60 minutes time window. non-wear classification, discussed , default 2023. Prior , GGIR slightly different non-wear detection algorithm still available via parameter nonwear_approach recommend use .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"identifying-implausible-wear-time","dir":"Articles","previous_headings":"Non-wear detection","what":"Identifying implausible wear time","title":"3. Data Quality Assurance","text":"can happen time classified wear time implausible example accelerometer post moved around researcher ahead actually intended wear period. example, accelerometer post long periods non-wear briefly interrupted periods movement, interpreted algorithm monitor wear. Therefore, GGIR part 2, detected non-wear GGIR part 1 checked implausible wear periods relabelled non-wear. sure mean part 1 2 see chapter 1, gives overview. GGIR part 2 performs check follows: First , detected wear-periods last less six hours, duration less 30% combined duration bordering non-wear periods, relabelled non-wear. Second, remaining wear-periods less three hours, form less 80% bordering non-wear periods, classified non-wear. motivation selecting relatively high criterion (< 30%) combination long period (6 hrs) low criterion (< 80%) combination short period (3 hrs) long periods likely actually related monitor wear time. illustrate algorithm created visual model, see picture . , units time presented squares marked grey detected non-wear time. Period C detected wear-time borders non-wear periods B D. length C less six hours C divided sum B D less 0.3 first criteria met block C turned non-wear period.  Visual inspection >100 traces large observational study revealed applying stage three times iteratively allowed improved classification periods characterised intermittent periods non-wear apparent wear.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"implausible-wear-at-the-beginning-and-end-of-the-recording","dir":"Articles","previous_headings":"Non-wear detection","what":"Implausible wear at the beginning and end of the recording","title":"3. Data Quality Assurance","text":"Based experience, participants take accelerometer final 24 hours recording actual end. However, may hard detect accelerometer may still moved. Therefore, GGIR relabels wear-periods final 24 hrs recording shorter three hours preceded least one hour non-wear time non-wear. Finally, recording starts ends period less three hours wear followed preceded non-wear (length), period wear classified non-wear. additional criteria screening beginning end accelerometer file intended filter movements related attaching accelerometer start downloading data accelerometer end. final check can turned parameter nonWearEdgeCorrection, may relevant processing accelerometer data collected single-night polysomnography studies.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"clipping-detection","dir":"Articles","previous_headings":"","what":"Clipping detection","title":"3. Data Quality Assurance","text":"GGIR part 1 also screens acceleration signal “clipping”, .e., sustained unusual high (raw) acceleration values non compatible human movement. 30% data points 15-minute window (used non-wear) close maximal values (technical term dynamic range) sensor, corresponding time period considered potentially unreliable, may explained sensor getting stuck extreme value accelerometers used inappropriately (attached heavily accelerating object). example, dynamic range 8g, accelerations 7.5g marked “clipping”. window also classified clipping value window larger 150% dynamic range sensor. Given clipping rarely happens reported GGIR part non-wear time. clipping non-wear treated merging arrive single indicator amount invalid data. However, keep track occurrence clipping time, GGIR report fraction 15-minute windows recording clipping occurs, see section output .","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"time-gap-imputation","dir":"Articles","previous_headings":"Key parameters","what":"Time gap imputation","title":"3. Data Quality Assurance","text":"imputeTimegaps","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"auto-calibration","dir":"Articles","previous_headings":"Key parameters","what":"Auto-calibration","title":"3. Data Quality Assurance","text":".cal backup.cal.coef","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"non-wear-detection-1","dir":"Articles","previous_headings":"Key parameters","what":"Non-wear detection","title":"3. Data Quality Assurance","text":"windowsizes nonwear_approach nonWearEdgeCorrection","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"clipping-detection-1","dir":"Articles","previous_headings":"Key parameters","what":"Clipping detection","title":"3. Data Quality Assurance","text":"windowsizes dynrange","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter3_QualityAssessment.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"3. Data Quality Assurance","text":"van Hees VT, Fang Z, Langford J, Assah F, Mohammad , da Silva IC, Trenell MI, White T, Wareham NJ, Brage S. Autocalibration accelerometer data free-living physical activity assessment using local gravity temperature: evaluation four continents. J Appl Physiol (1985). 2014 Oct 1;117(7):738-44. PMID: 25103964 link van Hees VT, Gorzelniak L, Dean León EC, Eder M, Pias M, Taherian S, Ekelund U, Renström F, Franks PW, Horsch , Brage S. Separating movement gravity components acceleration signal implications assessment human daily physical activity. PLoS One. 2013 Apr 23","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"why-do-we-need-to-extract-metrics","dir":"Articles","previous_headings":"","what":"Why do we need to extract metrics","title":"4. From Raw Data to Acceleration Metrics","text":"Wearable accelerometers widely used health research study physical activity, sleep, behaviours. modern accelerometers can collect store least 30 values per second expressed units gravitational acceleration (g). data collected, important extract kinematically meaningful information . data processing, summary measures describe signal referred metrics signal features. knowledge accelerometer works typical approach metric calculation calculate possible statistical properties acceleration signal like mean, standard deviation, entropy, skewness. However, discussed chapter 1, favour approach try use knowledge sensor. knowledge sensor tells us acceleration signal comes three components need separated: acceleration related gravitational acceleration. absence movement three acceleration signals inform us orientation accelerometer relative gravity proxy posture. Accelerations decelerations related movement, can interpret proxy muscle contractions energy expenditure needed contractions . Measurement error bias. example, signal noise caused electronical components introducing minor variation acceleration signal even real acceleration constant. variation due noise typically small compared variation due movement. Another example calibration errors discussed chapter 3. Finding metric able separate three components provide informative value relation orientation magnitude acceleration proxies mentioned posture muscle contractions, respectively.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"metric-aggregation-per-epoch","dir":"Articles","previous_headings":"","what":"Metric aggregation per epoch","title":"4. From Raw Data to Acceleration Metrics","text":"metrics first calculated resolution raw data, reflects tiny fraction second. exact number data points per second also known sampling rate can vary studies. different sampling rate values directly comparable. However, aggregating metric values per larger time window, known epoch, can make values comparable. , GGIR aggregates values per epoch (e.g. 5 seconds). Aside harmonising data across studies, aggregation per epoch also advantages: Evidence value accelerometer data based epoch-level aggregates, reference values like Oxygen consumption sleep reliably derived sub-second resolution. Aggregating leads less data points makes lot practical work . GGIR, epoch length kept constant across GGIR parts allow consistent interpretation. epoch length set first value parameter windowsizes (default 5 seconds) used throughout steps GGIR, following exceptions: GGIR part 2, time spent MVPA variables (discussed chapter 11) done multiple epoch lengths, one output variable. However, per output variable epoch length held constant throughout recording, GGIR never mixes epoch lengths epoch length affects interpretation value. like reading overview article car speeds alternates unit speed every sentence (.e., miles per hour, meters per second, km per hour, etc). GGIR part 5, user option aggregate epochs 1 minute length parameter part5_agg2_60seconds. example, using 5 second epochs parts 1, 2, 3 4, can informative run part 5 1 minute epoch length.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"acceleration-metrics-available-in-ggir","dir":"Articles","previous_headings":"","what":"Acceleration metrics available in GGIR","title":"4. From Raw Data to Acceleration Metrics","text":"find list metrics GGIR can apply. Multiple metrics can derived GGIR run. acceleration metrics derived GGIR function g.applymetrics. Neishabouri counts GGIR relies R package actifelifecounts. Please see code respective package documentation information exact calculations. use metrics, add parameters GGIR call, e.g.:","code":"GGIR(do.enmo = TRUE, do.mad = TRUE, do.bfen = TRUE, …)"},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"approach-to-removing-the-gravitational-signal-component","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR","what":"Approach to removing the gravitational signal component","title":"4. From Raw Data to Acceleration Metrics","text":"table metrics overview indicates approach used separate gravitation component acceleration signal. two approaches design metrics: Magnitude, metric makes assumption magnitude gravitational acceleration component. Frequency, metric makes assumption frequency content gravitational acceleration component. assumptions known always true conditions, acceleration metric perfect.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"handling-high-frequency-components-in-the-signal","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR","what":"Handling high frequency components in the signal","title":"4. From Raw Data to Acceleration Metrics","text":"argue high frequency components signal treated noise removed. However, likely represent harmonics low frequency movements thus part description movement. elaborate reflection , please see blog post. metrics, listed , letters LF BF name attempt suppress high frequency content signal. , GGIR user can decide whether prefer filter higher frequencies .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"why-ggir-uses-enmo-as-a-default-","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR","what":"Why GGIR uses ENMO as a default.","title":"4. From Raw Data to Acceleration Metrics","text":"one metric can default. Acceleration metric ENMO (Euclidean Norm Minus One negative values rounded zero) default metric since GGIR created. 2013, investigated different ways summarising raw acceleration data (van Hees et al. PLoS ONE 2013). short, different metrics exist little literature support superiority metric time. long different studies use different metrics, findings comparable. Therefore, choice metric ENMO merely pragmatic. GGIR uses ENMO default : 1. ENMO demonstrated value describing variance daily energy expenditure, correlated questionnaire data, able describe patterns physical activity. 2. ENMO easy describe mathematically , therefore, improves reproducibility across studies software tools. 3. ENMO attempts quantify acceleration universal units collapse signal abstract scale. 4. 2013 paper showed ENMO used combination auto-calibration, similar validity filter-based metrics like HFEN BFEN, conceptually similar metrics proposed later MIMSunit, MAD, AI0. 5. Studies criticised ENMO consistently failed apply auto-calibration, attempted apply auto-calibration lab setting, ignoring fact auto-calibration designed short lab settings. needs free-living data work properly. , studies often clear problematic zero imputation idle sleep mode ActiGraph devices dealt .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"notes-on-implementation-of-zero-crossing-counts","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR","what":"Notes on implementation of zero crossing counts","title":"4. From Raw Data to Acceleration Metrics","text":"implementation zero-crossing count GGIR attempt imitate zero-crossed counts previously described Sadeh, Cole, Kripke colleagues late 1980s 1990s. However, guaranteed exact copy original approach, used AMA-32 Motionlogger Actigraph Ambulatory-monitoring Inc. (“AMI”). complete publicly accessible description approach exists.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"missing-information","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR > Notes on implementation of zero crossing counts","what":"Missing information","title":"4. From Raw Data to Acceleration Metrics","text":"missing information calculation : Sadeh specified calculations done based data Y-axis direction Y-axis clarified. Therefore, unclear whether Y-axis time corresponded Y-axis modern sensors. frequency filter used, properties filter missing. Sensitivity sensor: now guessing Motionlogger sensitivity 0.01 g without direct proof. Relationship piezo-electric acceleration signal used time modern piezo-capacitive acceleration signals. personal correspondence AMI, learnt technique kept proprietary never shared sold actigraphy manufacturers (time correspondence October 2021). Based correspondence AMI, can conclude even Actiwatch, ActiGraph, manufacturers, facilitated use 1990s sleep classification algorithms, guarantee exact replication original studies.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"our-guess-on-the-missing-information","dir":"Articles","previous_headings":"Acceleration metrics available in GGIR > Notes on implementation of zero crossing counts","what":"Our guess on the missing information","title":"4. From Raw Data to Acceleration Metrics","text":"Following challenges, implementation zero-crossing count GGIR based educated guess used information find literature product documentation. relation missing information listed : allow specify axis want use parameter Sadeh_axis choose default second axis. use 0.25 - 3 Hertz band-pass filter order 2, can modify parameters zc.lb, zc.hb, zc.order. use 0.01 g stop band, can change parameter zc.sb. assume band-passed signal comparable absence evidence contrary. evaluation, zero-crossing count value range looks plausible compared value range original publications. note ActiGraph users: decide compare GGIR Cole-Kripke estimates ActiLife’s Cole Kripke estimates, aware ActiLife may adopted different Cole-Kripke algorithm original publication presented four algorithms. potential source variation. , ActiLife may used different educated guesses Motionlogger counts calculated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"embedding-your-own-metrics","dir":"Articles","previous_headings":"","what":"Embedding your own metrics","title":"4. From Raw Data to Acceleration Metrics","text":"GGIR users may like use metrics covered GGIR. facilitate , allow external function embedding discussed vignette Embedding external functions GGIR. fact, allows include entire algorithms step detection new sleep classification algorithm like test inside GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"4. From Raw Data to Acceleration Metrics","text":"GGIR part 2, output derived acceleration metric derived GGIR part 1 except metrics anglex, angley, anglez. GGIR part 4, output derived metrics used sleep detection, typically angle count (Neishabouri counts zero-crossing count). GGIR part 5, output derived single metric specified parameter acc.metric. reason constraint part 5 produces many variables creating multiple metrics computationally expensive substantially increase complexity underlying code.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter4_AccMetrics.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"4. From Raw Data to Acceleration Metrics","text":"compiled list related articles may find useful: Van Hees et al. 2011 Estimation Daily Energy Expenditure Pregnant Non-Pregnant Women Using Wrist-Worn Tri-Axial Accelerometer. van Hees et al. 2013 Separating Movement Gravity Components Acceleration Signal Implications Assessment Human Daily Physical Activity. Migueles et al. 2019 Comparability accelerometer signal aggregation metrics across placements dominant wrist cut points assessment physical activity adults. Aittasalo et al. 2015 Mean amplitude deviation calculated raw acceleration data: novel method classifying intensity adolescents’ physical activity irrespective accelerometer brand. Neishabouri et al. 2022 Quantification acceleration activity counts ActiGraph. Karas et al. 2022 Comparison accelerometry-based measures physical activity: retrospective observational data analysis study. van Hees 2019 Ten Misunderstandings surrounding Information Extraction Wearable Accelerometer data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter5_StudyProtocol.html","id":"selectingmasking-the-data","dir":"Articles","previous_headings":"","what":"Selecting/Masking the data","title":"5. Accounting for Study Protocol","text":"important GGIR masks data outside time window participant instructed wear accelerometer. Study protocols differ duration expected wear period, GGIR offers variety ways account study protocol. main parameter data_masking_strategy. requires numeric value indicating one following strategies: data_masking_strategy = 1 indicate specific number hours masked start /end recording, specified parameters hrs.del.start hrs.del.end, respectively. data_masking_strategy = 2 indicate data first last midnight recording considered. data_masking_strategy = 3 indicate active X 24-h blocks starting time day used, X specified parameter ndayswindow. Note can combined aforementioned parameters hrs.del.start hrs.del.end, trim window start end recording. data_masking_strategy = 4 indicate data first midnight considered. data_masking_strategy = 5 similar data_masking_strategy = 3, yet selects X complete calendar days, X specified parameter ndayswindow. Additionally, can set maximum duration accelerometer worn recording starts. Use parameter maxdur specify duration number 24 hour blocks parameter max_calendar_daysfor number calendar days.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter5_StudyProtocol.html","id":"key-parameters","dir":"Articles","previous_headings":"","what":"Key parameters","title":"5. Accounting for Study Protocol","text":"data_masking_strategy hrs.del.start hrs.del.end ndayswindow maxdur max_calendar_days","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter6_DataImputation.html","id":"imputation-of-invalid-epoch-data","dir":"Articles","previous_headings":"","what":"Imputation of invalid epoch data","title":"6. How GGIR Deals with Invalid Data","text":"time segments classified non-wear clipping (see Chapter 3) masked study protocol (see Chapter 5) treated invalid data. GGIR part 2, epoch level metric values imputed, log kept epochs imputed. subsequent analysis done GGIR, imputed time series used. time series without invalid segments used analyses: Weighted average full recording Cosinor analysis (see Chapter 10) specific non-default configuration sleep analysis (see Chapter 8) imputation epoch data done based mean metric value corresponding valid values time day days recording. However, time interval marked invalid across recorded days, value imputed zero, except metric EN imputed 1. example, imagine 5-day recording following ENMO metric data two specific epochs day across five days: imputed shown average 3, 4, 3 3 3.25:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter6_DataImputation.html","id":"controlling-the-imputation","dir":"Articles","previous_headings":"","what":"Controlling the imputation","title":"6. How GGIR Deals with Invalid Data","text":"worth noting option disable imputation setting parameter .imp = FALSE. means values kept imputed omitted. Disabling imputation recommended use-cases, can relevant studies controlled sleep exercise laboratories sensor known worn throughout experiment. alternative way control imputation specify time segments invalid epochs imputed zeros (ones metric EN) instead following standard GGIR imputation method. , use parameter TimeSegments2ZeroFile.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter6_DataImputation.html","id":"key-parameters","dir":"Articles","previous_headings":"","what":"Key parameters","title":"6. How GGIR Deals with Invalid Data","text":".imp, TimeSegments2ZeroFile","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter6_DataImputation.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"6. How GGIR Deals with Invalid Data","text":"GGIR part 2, plots check data quality highlight segments file considered invalid imputed. plots can found folder “results/QC/”. GGIR part 5, time series produced optionally stored within folder “meta/ms5out.raw/” either csv RData format. time series contain indicator epochs considered invalid imputed.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"data-quality-indicators","dir":"Articles","previous_headings":"","what":"Data quality indicators","title":"7. Describing the Data Without Knowing Sleep","text":"GGIR part 2 summarises data quality checks done previous four chapters, ranging report successfulness auto-calibration procedure number valid days. way, GGIR part 2 ideal place start data quality assurance.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"basic-descriptives","dir":"Articles","previous_headings":"","what":"Basic descriptives","title":"7. Describing the Data Without Knowing Sleep","text":"Descriptive variables calculated reported valid days , criteria valid day defined parameter includedaycrit.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"average-acceleration","dir":"Articles","previous_headings":"Basic descriptives","what":"Average acceleration","title":"7. Describing the Data Without Knowing Sleep","text":"Average acceleration known correlated total activity-related energy expenditure. GGIR part 2 provide two types average acceleration: Average per day, stored day considered valid. Note descriptive descriptives also stored GGIR averages across days, weekend days, weekdays, discuss detail later . Weighted average valid data points recording, weighted timing day valid epochs, regardless whether come days whole classified valid .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"acceleration-distribution","dir":"Articles","previous_headings":"Basic descriptives","what":"Acceleration distribution","title":"7. Describing the Data Without Knowing Sleep","text":"distribution acceleration values can informative . GGIR facilitates two ways: specifying quantiles distribution parameter qlevels, fed base R function quantile, GGIR gives us acceleration metric values corresponding quantiles (quantile multiplied 100 percentile). describing time spent acceleration ranges, defined parameter ilevels . distribution acceleration values often referred intensity distribution physical activity literature.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"sets-of-quantiles-mx-metrics-by-rowlands-et-al-","dir":"Articles","previous_headings":"Derived descriptives","what":"Sets of quantiles (MX metrics by Rowlands et al.)","title":"7. Describing the Data Without Knowing Sleep","text":"quantiles, discussed , can used describe accelerations participants exceed active “X” accumulated minutes day. specific approach, proposed Rowlands et al., quantiles referred MX metrics. MX metrics confused active continuous X hours, e.g. M10, used circadian rhythm research also can derived GGIR (see parameter winhr). use MX metrics proposed Rowlands et al., specify durations 24h day want identify accelerations values. example, generate minimum acceleration value active accumulated 30 minutes, can call qlevels = (1410/1440). parameter also accepts vector generate multiple MX metrics. example, call M60, M30, M10, can specify following: qlevels = c(c(1380/1440), c(1410/1440), c(1430/1440)). Note: time segments shorter 24 hours specified parameter qwindow, 8-hour school day (described Fairclough et al 2020), denominator qlevels change 1440 (24h) specific segment length. example, use 480 (8h). Accordingly, argument call M60, M30, M10 : qlevels = c(c(420/480), c(450/480), c(470/480)). moment, works one segment length GGIR facilitate generation MX metrics multiple unequal time segments within GGIR function call. output part 2 summary report file refer percentile day. Thus, 24-h day, M30 appear “p97.91666_ENMO_mg_0.24hr”. create radar plots MX metrics first described Rowlands et al., GitHub repository provides R code detailed instructions make radar plots using data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"intensity-gradient","dir":"Articles","previous_headings":"Derived descriptives","what":"Intensity gradient","title":"7. Describing the Data Without Knowing Sleep","text":"plot time spent equally spaced acceleration ranges, end asymptotic-shaped curve, indicating little time spent high intensities (acceleration levels) much time spent low intensities. shape distribution may informative hard quantify single number standard form. Therefore, new concept called intensity gradient proposed Rowlands colleagues. intensity gradient defines slope log-transformed axes intensity distribution. specifically, calculate time accumulated incremental acceleration bins (bin size = 25 mg) also keep track mid-point intensity bin, e.g. 62.5 mg bin ranging 50 75 mg. mid-point acceleration bin expressed mg time spent bin expressed minutes log-transformed. log-transformation expected change asymptotic-shaped curve straight line. Subsequently, linear regression fitted data points. slope regression line represents intensity gradient. , calculate correlation coefficient data points help verify degree form straight line (R^2). intensity gradient calculated default. include metric part 2 output, set iglevels = TRUE. , want methodological research , can use parameter define alternative acceleration bins, e.g. using bins 20 instead 25 mg iglevels = c(seq(0, 4000, = 20), 8000).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"key-arguments","dir":"Articles","previous_headings":"","what":"Key arguments","title":"7. Describing the Data Without Knowing Sleep","text":"includedaycrit ilevels qlevels iglevels qwindow .report","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"related-output","dir":"Articles","previous_headings":"","what":"Related output","title":"7. Describing the Data Without Knowing Sleep","text":"GGIR part 2 generates three csv reports: part2_daysummary.csv, part2_summary.csv, data_quality_report.csv. data_quality_report.csv discussed chapter 3, focus first two reports chapter. variables part2_summary.csv recording level aggregates variables part2_daysummary.csv. , variable names starting “AD_” refer average across days, “WD” refers average across weekdays, “” refers average across weekend days, “WWE” refers weighted weekend days ensure weekend days contribute equally, “WWD” refers weighted weekdays ensure weekdays contribute equally. , GGIR part 2 generates report named part2_daysummary_longformat.csv, generated GGIR used day segment analysis, see documentation parameter qwindow. report contains exact information part2_daysummary.csv, long format instead wide format. part2_daysummary_longformat.csv, row represents one segment one day one recording, part2_daysummary.csv, row contains one day one recording segments day organised different columns.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter7_DescribingDataWithoutKnowingSleep.html","id":"descriptive-variables","dir":"Articles","previous_headings":"Related output","what":"Descriptive variables","title":"7. Describing the Data Without Knowing Sleep","text":"clarify b refers part2_summary.csv part2_daysummary.csv, r refers part2_summary.csv .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"sib-vanhees2015","dir":"Articles","previous_headings":"","what":"SIB: vanHees2015","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"algorithm looks periods time z-angle change 5 degrees least 5 minutes. algorithm proposed 2015 article. idea behind algorithm interpretable heuristic compared conventional approaches use magnitude acceleration distinguish sustained inactivity bouts. reason assume vanHees2015 better worse reflection sleep, advancement purely intended terms interpretability. vanHees2015 algorithm default. values 5 5 algorithm can modified parameters anglethreshold timethreshold, currently see basis recommend advise sticking default values.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"sib-notworn-experimental","dir":"Articles","previous_headings":"","what":"SIB: NotWorn (EXPERIMENTAL)","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"Disclaimer: status SIB algorithm experimental described evaluated peer-reviewed publication yet. means revisions algorithm can expected algorithm matures. algorithms named “NotWorn” sib guider (next chapter) designed studies instruction wear accelerometer night. obvious facilitate meaningful sleep analysis. Nonetheless need crude estimate night time versus day time order GGIR part 5 characterise day time behaviours. case dataset use guider setting HASPT.algo = \"NotWorn\" discussed next chapter. , recommend combining using “NotWorn” : .imp = FALSE, HASPT.ignore.invalid = NA, ignorenonwear = FALSE. detection sib periods based acceleration metric defined parameter acc.metric.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"combined-with-count-acceleration-metrics","dir":"Articles","previous_headings":"SIB: NotWorn (EXPERIMENTAL)","what":"Combined with count acceleration metrics","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"using count accelereration metric set HASIB.algo = \"NotWorn\". part 4 sib set equal detected guider window. , effectively guider sib algorithm identical case.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"combined-with-gravitational-unit-acceleration-metrics","dir":"Articles","previous_headings":"SIB: NotWorn (EXPERIMENTAL)","what":"Combined with gravitational unit acceleration metrics","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"using acceleration metrics expresses acceleration gravitational units set HASIB.algo accelerometer expected worn specify second guider parameter HASPT.algo discussed int next chapter, e.g. HASPT.algo = c(\"NotWorn\", \"HDCZA)\". way GGIR first search long non-wear periods indicator sleep use define sleep window found fall back sib-algortihm specified HASIB.algo, e.g. \"vanHees2015\".","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"sib-count-based-algorithms-experimental","dir":"Articles","previous_headings":"","what":"SIB: Count based algorithms (EXPERIMENTAL)","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"Disclaimer: status SIB algorithm experimental described evaluated peer-reviewed publication yet. means revisions algorithm can expected algorithm matures. Accelerometers used sleep research since 1990s. However, initial accelerometers store data gravitational units sub-second level use nowadays stored data 30 60 second epoch aggregates. Although aggregates referred counts many manufacturers calculation counts differs manufacturer. attempted facilitate several sleep detection algorithms literature period “Sadeh1994”, “ColeKripke1992”, “Galland2012”. problem algorithms preprocessing done generate counts insufficiently described literature. zero-crossing count used Sadeh1994 ColeKripke1992 attempt made collect much information found made educated guess missing information. zero-crossing counts discussed chapter 4 acceleration metrics. counts calculated can use following SIB algorithms. uncertain whether Y-axis direction modern accelerometers matches direction Y-axis literature old studies direction Y-axis knowledge never clarified.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"sadeh1994","dir":"Articles","previous_headings":"SIB: Count based algorithms (EXPERIMENTAL)","what":"Sadeh1994","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"algorithm proposed Sadeh et al. link. use set parameter HASIB.algo = \"Sadeh1994\" argument Sadeh_axis = \"Y\" indicate algorithm use Y-axis sensor.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"galland2012","dir":"Articles","previous_headings":"SIB: Count based algorithms (EXPERIMENTAL)","what":"Galland2012","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"algorithm proposed Galland et al. link. use implementation Galland2012 algorithm specify parameter HASIB.algo = \"Galland2012\". , set Sadeh_axis = \"Y\" specify algorithm use Y-axis.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"colekripke1992","dir":"Articles","previous_headings":"SIB: Count based algorithms (EXPERIMENTAL)","what":"ColeKripke1992","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"algorithm proposed Cole et al. link, specifically GGIR uses algortihm proposed paper 10-second non-overlapping epochs counts expressed average per minute. skip re-scoring steps paper showed marginal added value added complexity. use GGIR implementation algortihm, specify parameters HASIB.algo = \"ColeKripke1992\" Sadeh_axis = \"Y\" indicate algorithm use Y-axis sensor.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter8_SleepFundamentalsSibs.html","id":"dealing-with-expected-or-detected-nonwear-time-segments","dir":"Articles","previous_headings":"","what":"Dealing with expected or detected nonwear time segments","title":"8. Sleep Fundamentals: Sustained Inactivity Bout Detection (SIB)","text":"Depending study protocol may want interpret invalid data (typically non-wear) differently. set parameter ignorenonwear=TRUE (default) ignore non-wear period SIB detection. useful prevent nonwear episodes going bed waking contributing sleep.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"time-window-used-for-sleep-analyses","dir":"Articles","previous_headings":"","what":"Time window used for sleep analyses","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"default sleep analysis considers window noon-noon, ideal shift workers may go bed early day wake noon. address , GGIR changes window analysis seems case: sleep log indicates person woke noon, sleep analysis part 4 done window 6pm-6pm. Similarly, guider indicates person woke 11 , sleep analysis part 3 4 done window 6pm-6pm. way method sensitive individuals main sleep period starting noon ending noon, referred daysleepers output. example case shift workers. Note guider L5+/-12 (discussed ) able , consider noon-noon time window.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-sleeplog","dir":"Articles","previous_headings":"Guiders","what":"Guider: Sleeplog","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"sleep log (diary) already used studies. way GGIR uses sleeplog first described 2015 article. Two sleeplog file structures supported: -called basic advanced sleeplog. use guider set location sleeplog value parameter loglocation. General notes GGIR uses sleeplogs guider: GGIR expects start end sleep window specified. one missing sleeplog data assumed missing entire night. GGIR impute sleeplog data. feel imputation desirable running GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"basic-sleep-log","dir":"Articles","previous_headings":"Guiders > Guider: Sleeplog","what":"Basic sleep log","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Example basic sleeplog: One column participant id, first column. Specify column argument colid. Alternatingly one column onset time one column waking time. Specify column column first night argument coln1, example coln1=2. Timestamps stored without date hh:mm:ss hour values ranging 0 23 (24). onset corresponds lights intention fall asleep, specify sleepwindowType = \"TimeInBed\". can multiple sleeplogs spreadsheet. row representing single recording. First row: first row spreadsheet needs filled column names. basic sleep log format matter column names . first night basic sleeplog assumed correspond first recorded night accelerometer recording. know sleep log start later day make sure add columns labels without timestamps. Note recorded night mean data regardless whether data valid. , participant wear accelerometer first night still first night recording.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"advanced-sleep-log","dir":"Articles","previous_headings":"Guiders > Guider: Sleeplog","what":"Advanced sleep log","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Example advanced sleeplog two recordings: Relative basic sleeplog format advanced sleep log format comes following changes: Recording stored rows, information per days stored columns. Information per day preceded one columns holds calendar date. GGIR designed recognise handle date format assumes used date format consistently sleeplog. Per calendar date column wakeup time followed column onset -bed time. Note different basic sleep log, wakeup time follows column onset -bed time. , advanced sleep log calendar date oriented: asking participant woke fell asleep certain date. However, sleep onset time 2am, still fill 02:00:00, even though 02:00:00 next calendar date. can add columns relating self-reported napping time nonwear time. used sleep analysis g.part3 g.part4, used g.part5 facilitate napping analysis, see argument .sibreport paragraph naps. Multiple naps multiple nonwear periods can entered per day. Leave cells missing values blank. Column names critical advanced sleeplog format: Date columns recognised GGIR column name word “date” . advanced sleep log format recognised GGIR looking occurrence least two column names word “date” name. Wakeup times recognised words “wakeup” column name. Sleeponset times recognised columns word “onset” column name. Time going bed recognised column names “lightsout”, “inbed”, “tobed”, “bedstart”. Time getting recognised column names “lightson”, “outbed”, “bedend”. Napping times recognised columns word “nap” name. Nonwear times recognised columns word “nonwear” name. GGIR guesses data format looping common date formats. date falls within 30 days start date accelerometer recording date format assumed found. starts attempting “Y-m-d” (2015-06-25).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-hdcza","dir":"Articles","previous_headings":"Guiders","what":"Guider: HDCZA","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"HDCZA algorithm designed studies wrist-worn accelerometer (raw) data sleep log available. algorithm first described 2018 article, modified slightly: Step 6 Figure 1 replaced single threshold (0.2 default). short, step 1-6 attempt classify time periods limited change posture. Next, step 7 extracts time blocks longer 30 minutes, step 8 includes intermittent time periods shorter 60 minutes, step 9 looks longest resulting block day, step 10 represents guider window. Note step 10 Figure 1 paper gives false impression step represents final classification SPT window. way guider used identify SPT window described chapter 10. time segment HDCZA derived default noon noon. However, ends 11am noon applied 6pm-6pm time segment. use guider set parameter HASPT.algo = \"HorAngle\".","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-l5-12-legacy-algorithm","dir":"Articles","previous_headings":"Guiders","what":"Guider: L5+/-12 (LEGACY ALGORITHM)","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Disclaimer: legacy algorithm used publications therefore kept inside GGIR. performance expected less available algorithm, recommend using . guider reflects twelve hour window centred around least active 5 hours day. crude approach likely inferior guiders, easy describe. first presented 2018 article. use guider set parameter def.noc.sleep = c().","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-setwindow-legacy-algorithm","dir":"Articles","previous_headings":"Guiders","what":"Guider: setwindow (LEGACY ALGORITHM)","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Disclaimer: legacy algorithm used publications therefore kept inside GGIR. performance expected less available algorithm, recommend using . guider uses set window day recording. Start end time specified argument def.noc.sleep. example, use guider window 10pm 8am set parameter def.noc.sleep = c(22, 8).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-horangle-experimental","dir":"Articles","previous_headings":"Guiders","what":"Guider: HorAngle (EXPERIMENTAL)","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Disclaimer: status guider experimental described evaluated peer-reviewed publication yet. means revisions algorithm can expected algorithm matures. guider designed hip-worn accelerometer (raw) data, looking longest period horizontal trunk. needs GGIR part 1 2 derived angle longitudinal axis. Setting parameter sensor.location=\"hip\" triggers identification longitudinal axis looking angle strongest 24-hour lagged correlation. can also force GGIR use specific axis longitudinal axis parameter longitudinal_axis. Next, algorithm identifies horizontal axis -45 45 degrees considers horizontal posture. Next, used identify largest time bed period, considering horizontal time segments least 30 minutes, looking longest horizontal period day gaps less 60 minutes ignored. Therefore, last 4 steps algorithm identical last four steps HDCZA algorithm. use guider set parameter HASPT.algo = \"HorAngle\"","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"guider-notworn-experimental","dir":"Articles","previous_headings":"Guiders","what":"Guider: NotWorn (EXPERIMENTAL)","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Disclaimer: status guider experimental described evaluated peer-reviewed publication yet. means revisions algorithm can expected algorithm matures. already referenced previous chapter NotWorn guider designed studies instruction wear accelerometer night. obvious facilitate meaningful sleep analysis. Nonetheless need crude estimate night time versus day time order GGIR part 5 characterise day time behaviours. First NotWorn algorithm calculates 5 minute rolling average acceleration metric values (.e., acceleration metric defined parameter acc.metric) applies threshold 5% standard deviation resulting signal. However, threshold less minimum value signal threshold set equal 10th percentile distribution. Next, used identify largest non-movement period, considering segments least 30 minutes, looking longest segment day gaps less 60 minutes ignored. Therefore, last 4 steps algorithm identical last four steps HDCZA HorAngle algorithms. algorithm expected work acceleration metric, count-type metrics metrics gravitational units. use guider set parameter HASPT.algo = \"NotWorn\". , recommend combining using “NotWorn” : .imp = FALSE ignorenonwear = FALSE. Internally HASPT.ignore.invalid always set NA “NotWorn” used. used also define resulting window SIB period ignore identified SIB window ensure entire window treated sleep. , SIB periods detected ignored. However, know experience participants occasionally wear accelerometer night even told . GGIR offers solution working count data accelerometer metrics gravitational units. case, possible specify second guider use accelerometer worn less 25% time detection window (noon-noon 6pm-6pm). happens check whether parameter HASPT.algo two guiders specified. use second one. example, HASPT.algo = c(\"NotWorn\", \"HDCZA\") HASPT.algo = c(\"NotWorn\", \"HorAngle\").","code":""},{"path":"https://wadpac.github.io/GGIR/articles/chapter9_SleepFundamentalsGuiders.html","id":"dealing-with-expected-or-detect-nonwear-time-segments","dir":"Articles","previous_headings":"","what":"Dealing with expected or detect nonwear time segments","title":"9. Sleep Fundamentals: Guiding sleep detection","text":"Depending study protocol may want interpret invalid data (typically non-wear) differently: want rely available time series invalid time segments imputed leave parameter HASPT.ignore.invalid = FALSE default. want guider ignore invalid segment despite efforts impute , see HASPT.ignore.invalid = TRUE. approach may helpful studies accelerometer often worn waking hour day. want guider consider invalid segments movement period set parameter HASPT.ignore.invalid = NA. approach may helpful studies accelerometer often worn night. used, guider name output shown “+invalid” end, e.g. “HDCZA+invalid”, reflect guider enhanced.","code":""},{"path":[]},{"path":[]},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"in--awd-format","dir":"Articles","previous_headings":"Handling externally derived data > Actiwatch data","what":"in .AWD format","title":"Cookbook","text":"","code":"GGIR(datadir = \"/media/actiwatch_awd\", # folder with epoch level .AWD file   outputdir = \"/media/myoutput\",   dataFormat = \"actiwatch_awd\",   extEpochData_timeformat = \"\\%m/\\%d/\\%Y \\%H:\\%M:\\%S\",   windowsizes = c(60, 900, 3600), # 60 is the expected epoch length   HASIB.algo = \"Sadeh1994\",   def.noc.sleep = c()) # <= because we cannot use HDCZA for ZCY"},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"in--csv-format","dir":"Articles","previous_headings":"Handling externally derived data > Actiwatch data","what":"in .CSV format","title":"Cookbook","text":"","code":"GGIR(datadir = \"/media/actiwatch_csv\", # folder with epoch level .AWD file   outputdir = \"/media/myoutput\",   dataFormat = \"actiwatch_csv\",   extEpochData_timeformat = \"\\%m/\\%d/\\%Y \\%H:\\%M:\\%S\",   windowsizes = c(15, 900, 3600), # 15 is the expected epoch length   HASIB.algo = \"Sadeh1994\",   def.noc.sleep = c()) # <= because we cannot use HDCZA for ZCY"},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"uk-biobank-data-in--csv-format","dir":"Articles","previous_headings":"Handling externally derived data","what":"UK Biobank data in .CSV format","title":"Cookbook","text":"","code":"GGIR(datadir = \"/media/ukbiobank\",    outputdir = \"/media/myoutput\",    dataFormat = \"ukbiobank_csv\",    extEpochData_timeformat = \"\\%m/\\%d/\\%Y \\%H:\\%M:\\%S\",    windowsizes = c(5, 900, 3600), # We know that data was stored in 5 second epoch    desiredtz = \"Europe/London\") # We know that data was collected in the UK"},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"actigraph-count-data-in--csv-format","dir":"Articles","previous_headings":"Handling externally derived data","what":"ActiGraph count data in .CSV format","title":"Cookbook","text":"","code":"GGIR(datadir = \"/examplefiles\",    outputdir = \"\",    dataFormat = \"actigraph_csv\",    windowsizes = c(5, 900, 3600),    threshold.in = round(100 * (5/60), digits = 2),    threshold.mod = round(2500 * (5/60), digits = 2),    threshold.vig = round(10000 * (5/60), digits = 2),    extEpochData_timeformat = \"\\%m/\\%d/\\%Y \\%H:\\%M:\\%S\",    do.neishabouricounts = TRUE,    acc.metric = \"NeishabouriCount_x\")"},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"senwear-data-in--xls-format","dir":"Articles","previous_headings":"Handling externally derived data","what":"Senwear data in .xls format","title":"Cookbook","text":"","code":"GGIR(datadir = \"C:/yoursenseweardatafolder\",     outputdir = \"D:/youroutputfolder\",     windowsizes = c(60, 900, 3600),     threshold.in = 1.5,     threshold.mod = 3,     threshold.vig = 6,     dataFormat = \"sensewear_xls\",     extEpochData_timeformat = \"\\%d-\\%b-\\%Y \\%H:\\%M:\\%S\",     HASPT.algo = \"NotWorn\")"},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/Cookbook.html","id":"not-worn-during-night","dir":"Articles","previous_headings":"Handling study protocol","what":"Not worn during night","title":"Cookbook","text":"Data type: Study protocol: Worn day, taken night Wear location: “NotWorn” specified second guider can supplied parameter shown . second guider used accelerometer worn 75 percent night. example shows HDCZA.","code":"GGIR(HASPT.algo = c(\"NotWorn\", \"HDCZA\"),     HASIB.algo = \"vanHees2015\",     do.imp = FALSE, # Do not impute nonwear because sensor was never worn 24/7     HASPT.ignore.invalid = NA, # Treat nonwear as potential part of guider window     ignorenonwear = FALSE, # Consider nonwear as potential sleep     includenightcrit = 8,     includedaycrit = 8)"},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"considerations","dir":"Articles","previous_headings":"","what":"Considerations","title":"Published cut-points and how to use them in GGIR","text":"physical activity research field used called cut-points segment accelerometer time series based level intensity. vignette compiled list published cut-points instructions use GGIR. Please note GGIR refers cut-points thresholds, referring thing: value set values help split levels movement intensity. newer cut-points frequently published list may date. Please let us know aware published cut-points missed!","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-expressed-in-gravitational-units-this-vignette","dir":"Articles","previous_headings":"Considerations","what":"Cut-points expressed in gravitational units (this vignette)","title":"Published cut-points and how to use them in GGIR","text":"vignette focuses cut-points metrics attempt quantify average acceleration per epoch gravitational units. strength metrics values affected sampling rate epoch length improving comparability across studies.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-not-expressed-in-gravitational-units-not-in-this-vignette","dir":"Articles","previous_headings":"Considerations","what":"Cut-points NOT expressed in gravitational units (not in this vignette)","title":"Published cut-points and how to use them in GGIR","text":"However, GGIR also facilitates metrics whose values expressed gravitational units historically used. example, metric described Neishabouri (see GGIR argument .neishabouricounts) reflects indicator accumulated body movement time, referred counts, calculated ActiLife software ActiGraph accelerometer brand. Cut-points counts corresponding ActiGraph brand recurrently proposed literature, example, see systematic review stratification age group. Note cut-points ActiGraph counts proposed introduction multiday raw data collection likely hardware-based calculations may perfectly align ActiGraph software-based (Actilife) calculations counts Neishabouri described. result, older cut-points may need used caution. cut-points find literature ActiGraph counts applied Neishabouri counts directly epoch length specific. cut-points literature need corrected conversion factor. conversion factor calculated epoch length new study (e.g. 5 seconds) divided epoch length original study (e.g. 60 seconds). Note correction differences sampling rate needed Neishabouri counts already account via -sampling. want use cut-point “100 counts per minute” literature 5 second epoch data, GGIR function call look like :","code":"GGIR([...],      mode = 1:5,      windowsizes = c(5, 900, 3600),      do.neishabouricounts = TRUE,      acc.metric = \"NeishabouriCount_y\",      threshold.in = 100 * (5/60),      [...])"},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"relevant-arguments-to-use-cut-points-in-ggir","dir":"Articles","previous_headings":"","what":"Relevant arguments to use cut-points in GGIR","title":"Published cut-points and how to use them in GGIR","text":"argument mvpathreshold used part 2 quantify time accumulated user-specified threshold moderate--vigorous intensity expected occur. mvpathreshold applied metrics extracted part 1 arguments .metric (e.g., .enmo, .mad, .neishabouricounts). part 5, threshold.lig, threshold.mod, threshold.vig used indicate thresholds separate inactivity light, light moderate, moderate vigorous, respectively.thresholds applied metric defined acc.metric (default = “ENMO”). summary table parameters definition calculate acceleration metrics previously used calibration cut-points define used physical activity intensity classification cut-points.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-for-preschoolers","dir":"Articles","previous_headings":"Summary of published cut-points","what":"Cut-points for preschoolers","title":"Published cut-points and how to use them in GGIR","text":"*publications used acceleration metrics sum values per epoch rather average per epoch like GGIR . , use cut-point GGIR, provide scaled version cut-points presented paper : (CutPointFromPaper_in_gsecs/85.7) * 1000. Note sample frequency 87.5 reported publication incorrect based correspondence authors replaced 85.7.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-for-childrenadolescents","dir":"Articles","previous_headings":"Summary of published cut-points","what":"Cut-points for children/adolescents","title":"Published cut-points and how to use them in GGIR","text":"*publications used acceleration metrics sum values per epoch rather average per epoch like GGIR . , use cut-point GGIR, provide scaled version cut-points presented paper : (CutPointFromPaper_in_gmins/(sampleRateFromPaper * EpochLengthInSecondsPaper)) * 1000 ** publication used acceleration metrics expressed cut-points g units. , use cut-point GGIR, provide cut-point multiplied 1000.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-for-adults","dir":"Articles","previous_headings":"Summary of published cut-points","what":"Cut-points for adults","title":"Published cut-points and how to use them in GGIR","text":"*publications used acceleration metrics sum values per epoch rather average per epoch like GGIR . , use cut-point GGIR, provide scaled version cut-points presented paper : (CutPointFromPaper_in_gmins/(sampleRateFromPaper * EpochLengthInSecondsPaper)) * 1000 † publication, cut-point based data sampled 30 Hz 100 Hz. scaling cut-points specified (*), resulting thresholds virtually (ones presented table).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"cut-points-for-older-adults","dir":"Articles","previous_headings":"Summary of published cut-points","what":"Cut-points for older adults","title":"Published cut-points and how to use them in GGIR","text":"*Cut-points derived applying Youden index ROC curves. ** Cut-points derived increasing Sensitivity Specificity light vice versa moderate ROC curves (see paper details).† publications used acceleration metrics sum values per epoch rather average per epoch like GGIR . , use cut-point GGIR, provide scaled version cut-points presented paper : (CutPointFromPaper_in_gmins/(sampleRateFromPaper * EpochLengthInSecondsPaper)) * 1000 ‡ cut-points excluding data aided walking washing activities can found publication.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"notes-on-cut-point-validity","dir":"Articles","previous_headings":"","what":"Notes on cut-point validity","title":"Published cut-points and how to use them in GGIR","text":"Sensor calibration studies , excluding Hildebrand et al. 2016, effort made calibrate acceleration sensors relative gravitational acceleration prior cut-point development. Theoretically can expected cause bias cut-point estimates proportional calibration error device, especially cut-points based acceleration metrics rely assumption accurate calibration metrics: ENMO, EN, ENMOa, also metric SVMgs used studies Esliger 2011, Phillips 2013, Dibben 2020. Idle sleep mode ActiGraph discussed main package vignette, studies using ActiGraph sensor often forget clarify whether idle sleep mode used , accounted data processing. criticism towards cut-point methods? elaborate reflection limitations cut-points motivation cut-points still value GGIR see: https://www.accelting.com/updates/--ggir-facilitate-cut-points/","code":""},{"path":"https://wadpac.github.io/GGIR/articles/CutPoints.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Published cut-points and how to use them in GGIR","text":"Aittasalo 2015: https://doi.org/10.1186/s13102-015-0010-0 Bammann 2021: https://doi.org/10.1371/journal.pone.0252615 Dibben 2020: https://doi.org/10.1186/s13102-020-00196-7 Dillon 2016: https://doi.org/10.1371%2Fjournal.pone.0109913 Esliger 2011: https://doi.org/10.1249/mss.0b013e31820513be Fraysse 2020: https://doi.org/10.3389%2Ffspor.2020.579278 Hildebrand 2014: https://doi.org/10.1249/mss.0000000000000289 Hildebrand 2016: https://doi.org/10.1111/sms.12795 Migueles 2021: https://doi.org/10.3390%2Fs21103326 Phillips 2013: https://doi.org/10.1016/j.jsams.2012.05.013 Sanders 2018: https://doi.org/10.1080/02640414.2018.1555904 Schaefer 2014: https://doi.org/10.1249%2FMSS.0000000000000150 Roscoe 2017: https://doi.org/10.1007/s00431-017-2948-2 Vähä-Ypyä 2015: https://doi.org/10.1371/journal.pone.0134813","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Embedding external functions in GGIR","text":"like GGIR want use algorithms raw data included GGIR external function embedding feature can solution. example, may want pilot new machine learned classifiction algorithm want write data cleaning aggregation steps needed analysis real life ‘lab’ acceleormeter data. works: Internally GGIR loads raw accelerometer data memory blocks 24 hours. data memory, corrected calibration error, resampled sample rate required function, GGIR applies default algorithms well external function provided (Python R). external function expected take input: three-column matrix acceleration data corresponding three acceleration axes, optional parameters argument can R format (character, list, vector, data.frame, etc). output external function expected produce matrix data.frame one multiple columns corresponding output external function.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"example-with-external-r-function","dir":"Articles","previous_headings":"","what":"Example with external R function","title":"Embedding external functions in GGIR","text":"example apply function counts() R package activityCounts raw data, produces estimate Actigraph counts per second.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"write-external-function","dir":"Articles","previous_headings":"Example with external R function","what":"Write external function","title":"Embedding external functions in GGIR","text":"Create file calculateCounts.R insert following code:","code":"calculateCounts = function(data=c(), parameters=c()) {   # data: 3 column matrix with acc data   # parameters: the sample rate of data   library(\"activityCounts\")   if (ncol(data) == 4) data= data[,2:4]   mycounts = counts(data=data, hertz=parameters,                      x_axis=1, y_axis=2, z_axis=3,                     start_time = Sys.time())   mycounts = mycounts[,2:4] #Note: do not provide timestamps to GGIR   return(mycounts) }"},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"provide-external-function-to-ggir","dir":"Articles","previous_headings":"Example with external R function","what":"Provide external function to GGIR","title":"Embedding external functions in GGIR","text":"Create new .R file running GGIR analysis, e.g. named myscript.R, insert following code. forget update filepath first line point calculateCounts.R file. code creates object myfun type list expected come following elements: FUN character string specifying location external function want apply. parameters parameters used function, can stored format (vector, matrix, list, data.frame). user make sure external function can handle object. expected_sample_rate Expected sample rate, inputdata difference sample rate, data resampled. expected_unit Expected unit acceleration external function: “mg”, “g” “ms2”. input data different converted. colnames Character vector names columns produced external function. outputres resolution (seconds) output produced external function. Note, needs equal multitude short epoch size g.part1 output (5 seconds) short epoch size multitude resolution. way GGIR can aggregate repeat external function output used inside GGIR. minlength minimum length (seconds) input data needed, typically window per output provided. outputtype Character indicate type external function output. Set “numeric” data stored numbers (numeric format), “character” character string. aggfunction data needs aggregated match short epoch size g.part1 output (5 seconds) element specifies function used aggregation, e.g. mean, sum, median. timestamp Boolean indicated whether timestamps (seconds since 1-1-1970) passed external function first columm data matrix.. reporttype Character indicate type reporting GGIR: “scalar” averaged per day, “event” summed per day, “type” categorical variable can aggregated per day tabulating . name Character indicate name entity detected cases event detection, name used output filename, e.g. part2_stepsummary.csv name “step”. moment name use event detection algorithms Next, add call GGIR function GGIR myfun provided one arguments: Please see  information function GGIR.","code":"source(\"~/calculateCounts.R\") myfun =  list(FUN=calculateCounts,               parameters= 30,               expected_sample_rate= 30,               expected_unit=\"g\",               colnames = c(\"countsX\",\"countsY\",\"countsZ\"),               outputres = 1,               minlength = 1,               outputtype=\"numeric\",               aggfunction = sum,               timestamp=F,               reporttype=\"scalar\") library(GGIR) GGIR(datadir=\"~/myaccelerometerdata\",              outputdir=\"~/myresults\",              mode=1:2,              epochvalues2csv = TRUE,              do.report=2,              myfun=myfun) #<= this is where object myfun is provided to GGIR"},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"example-with-external-python-function","dir":"Articles","previous_headings":"","what":"Example with external Python function","title":"Embedding external functions in GGIR","text":"example use external Python function estimate dominant signal frequency per acceleration axis. Note can also done R, shows even Python functions can provided.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"write-external-function-1","dir":"Articles","previous_headings":"Example with external Python function","what":"Write external function","title":"Embedding external functions in GGIR","text":"Create dominant_frequency.py insert code shown : Create dominant_frequency.R calls python function insert following code:","code":"import numpy  def dominant_frequency(x, sf):   # x: vector with data values   # sf: sample frequency   fourier = numpy.fft.fft(x)   frequencies = numpy.fft.fftfreq(len(x), 1/sf)   magnitudes = abs(fourier[numpy.where(frequencies > 0)])   peak_frequency = frequencies[numpy.argmax(magnitudes)]   return peak_frequency dominant_frequency = function(data=c(), parameters=c()) {   # data: 3 column matrix with acc data   # parameters: the sample rate of data   source_python(\"dominant_frequency.py\")   sf=parameters   N = nrow(data)   ws = 5 # windowsize   if (ncol(data) == 4) data= data[,2:4]   data = data.frame(t= floor(seq(0,(N-1)/sf,by=1/sf)/ws),                     x=data[,1], y=data[,2], z=data[,3])   df = aggregate(data, by = list(data$t),                   FUN=function(x) {return(dominant_frequency(x,sf))})   df = df[,-c(1:2)]   return(df) } }"},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"provide-external-function-to-ggir-1","dir":"Articles","previous_headings":"Example with external Python function","what":"Provide external function to GGIR","title":"Embedding external functions in GGIR","text":"Create new .R file running GGIR analysis, e.g. named myscript.R, insert following blocks code. Specification Python environment use, can also conda environment docker container (see documentation R package  details). Make sure Python environment required dependencies external function, need numpy. Specify myfun object explained R example. forget update filepath \"~/dominant_frequency.R\" file. Add call function GGIR myfun provided argument. Note , .parallel set FALSE. Unfortunately Python embedding R package reticulate multi-threading R package foreach used GGIR combine well.","code":"library(\"reticulate\")   use_virtualenv(\"~/myvenv\", required = TRUE) # Local Python environment   py_install(\"numpy\", pip = TRUE) source(\"~/dominant_frequency.R\") myfun =  list(FUN=dominant_frequency,               parameters= 30,               expected_sample_rate= 30,               expected_unit=\"g\",               colnames = c(\"domfreqX\", \"domfreqY\", \"domfreqZ\"),               minlength = 5,               outputres = 5,               outputtype=\"numeric\",               aggfunction = median               timestamp=F,               reporttype=\"scalar\") library(GGIR) GGIR(datadir=\"~/myaccelerometerdata\",              outputdir=\"~/myresults\",              mode=1:2,              epochvalues2csv = TRUE,              do.report=2,              myfun=myfun,              do.parallel = FALSE)"},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"part-1","dir":"Articles","previous_headings":"Integration in GGIR output","what":"Part 1","title":"Embedding external functions in GGIR","text":"external function output included time series produced function GGIR function g.part1 stored RData-file /output_nameofstudy/meta/basic. resolution output GGIR set GGIR argument windowsizes, c(5,900,3600) default. , first element 5 specifies short epoch size seconds. output external function less resolution aggregated function specificied aggfunction myfun object. count example used sum dominant frequency example used median.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"part-2","dir":"Articles","previous_headings":"Integration in GGIR output","what":"Part 2","title":"Embedding external functions in GGIR","text":"Next, part2 GGIR aims detect non-wear periods imputes . impute time series can found part 2 milestone data folder: /output_nameofstudy/meta/ms2.. want directly stored csv file set argument epochvalues2csv = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/ExternalFunction.html","id":"external-functions-released-by-ggir-collaborators","dir":"Articles","previous_headings":"","what":"External functions released by GGIR collaborators:","title":"Embedding external functions in GGIR","text":"Wrist-based step detection algorithm: https://github.com/ShimmerEngineering/Verisense-Toolbox/tree/master/Verisense_step_algorithm Wrist-based sleep classification described Sundararajan et al. 2021 link paper, corresponding code : https://github.com/wadpac/Sundararajan-SleepClassification-2021/tree/master/ggir_ext","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"what-is-ggir","dir":"Articles","previous_headings":"Introduction","what":"What is GGIR?","title":"Accelerometer data processing with GGIR","text":"GGIR R-package process multi-day raw accelerometer data physical activity sleep research. term raw refers data expressed m/s2 gravitational acceleration opposed previous generation accelerometers stored data accelerometer brand specific units. signal processing includes automatic calibration, detection sustained abnormally high values, detection non-wear calculation average magnitude dynamic acceleration based variety metrics. Next, GGIR uses information describe data per recording, per day measurement, (optionally) per segment day measurement, including estimates physical activity, inactivity sleep. published overview paper GGIR 2019 link. vignette provides general introduction use GGIR interpret output, additionally can find introduction video mini-tutorial YouTube. want use algorithms raw data GGIR facilitates ’s external function embedding feature, documented separate vignette: Embedding external functions GGIR. GGIR increasingly used research groups across world. non-exhaustive overview academic publications related GGIR can found . R package GGIR possible without support contributors listed author list GGIR, specific code contributions time since April 2016 (GGIR development moved GitHub) shown . Cite GGIR: use GGIR publications forget cite properly makes research reproducible gives credit ’s developers. See paragraph Citing GGIR details.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"contributing-support-and-keeping-up-to-date","dir":"Articles","previous_headings":"Introduction","what":"Contributing, Support, and Keeping up to date","title":"Accelerometer data processing with GGIR","text":"contribute code? development version GGIR can found github, also find guidance contribute. can get service support? GGIR open source software come service support guarantees. However, user-community can help via GGIR google group GitHub issue tracker. Please use public platform rather private e-mails users can learn conversations. need dedicated support use GGIR need someone adapt GGIR needs Vincent van Hees available independent consultant. Training R essentials GGIR offer frequent online GGIR training courses. Check dedicated training website details option book training. questions training booking process? hesitate contact us via: training@accelting.com. Also interest may brief free R introduction tutorial. Change log log main changes GGIR time can found .","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"install-r-and-rstudio","dir":"Articles","previous_headings":"Setting up your work environment","what":"Install R and RStudio","title":"Accelerometer data processing with GGIR","text":"Download install R Download install RStudio Install GGIR dependencies CRAN. can one command console command line: Alternatively, install latest development version latest bug fixes use instead: Additionally, use-cases need install one multiple additional packages: working Axivity, GENEActiv, GENEA files, install GGIRread package install.packages(\"GGIRread\") working ActiGraph gt3x files, install read.gt3x package install.packages(\"read.gt3x\") want derive Neishabouricounts (.neishabouricounts = TRUE), install actilifecounts package install.packages(\"actilifecounts\") want derive circadian rhythm indicators using [Cosinor analysis Extended Cosinor analysis] (cosinor = TRUE part 2, part 6 always performed), install ActCR package install.packages(\"ActCR\")","code":"install.packages(\"GGIR\", dependencies = TRUE) install.packages(\"remotes\") remotes::install_github(\"wadpac/GGIR\")"},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"prepare-folder-structure","dir":"Articles","previous_headings":"Setting up your work environment","what":"Prepare folder structure","title":"Accelerometer data processing with GGIR","text":"GENEActiv .bin Axivity AX3 AX6 .cwa ActiGraph .csv .gt3x (.gt3x newer format generated firmware versions 2.5.0. Serial numbers start “NEO” “MRA” firmware version 2.5.0 earlier use older format .gt3x file). Note Actigraph users: want work .csv exports via commercial ActiLife software note option export data timestamps. Please causes memory issues GGIR. cope absence timestamps GGIR calculate timestamps sample frequency, start time start date presented file header. Movisens .bin files data stored folders. GGIR expects participant’s folder contains least file named acc.bin. accelerometer brand generates csv output, see documentation functions read.myacc.csv argument rmc.noise GGIR function documentation (pdf). Note functionality following file formats part GGIR deprecated required significant maintenance effort without clear use case community support: (1) .bin Genea monitor Unilever Discover, accelerometer used studies 2007 2012) .bin, (2) .wav files can exported Axivity Ltd OMGUI software. Please contact us think data formats facilitated GGIR interested supporting ongoing maintenance. accelerometer data needs analysed stored one folder, subfolders folder. Give folder appropriate name, preferable reference study project related rather just ‘data’, name folder used later identifier dataset.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"ggir-shell-function","dir":"Articles","previous_headings":"Setting up your work environment","what":"GGIR shell function","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"key-general-arguments","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Key general arguments","title":"Accelerometer data processing with GGIR","text":"probably never need think arguments listed , lot arguments included facilitate methodological studies researchers want control every little detail. See previous paragraph links documentation find default value parameter. bare minimum input needed GGIR : Argument datadir allows specify stored accelerometer data outputdir allows specify like output analyses stored. equal datadir. copy paste code new R script (file ending .R) Source R(Studio) dataset processed output stored specified output directory. highlighted key arguments may want aware . giving detailed explanation, please see package manual . mode - part GGIR run, GGIR constructed five parts sixth part development. overwrite - whether overwrite previously produced milestone output. GGIR part, GGIR stores milestone output ease re-running parts pipeline. idloc - tells GGIR find participant ID (default: inside file header) data_masking_strategy set value 1, check arguments hrs.del.start hrs.del.end. data_masking_strategy set value 3 5, check arguments ndayswindow, hrs.del.start hrs.del.end. maxdur - maximum number days expect data file based study protocol. desiredtz - time zone experiment. chunksize - way tell GGIR use less memory, can useful machines limited memory. includedaycrit - tell GGIR many hours valid data per day (midnight-midnight) acceptable. includenightcrit - tell GGIR many hours valid night (noon-noon) acceptable. qwindow - argument tell GGIR whether segment day day-segment specific analysis. mvpathreshold boutcriter - acceleration threshold bout criteria used calculating time spent MVPA (used GGIR part2). epochvalues2csv - export epoch level magnitude acceleration csv files (addition already stored RData file) dayborder - decide whether edge day midnight. iglevels - argument related intensity gradient method proposed . Rowlands. .report - specify reports need generated. viewingwindow visualreport - create visual report, works five parts GGIR successfully run. Note visual report initially developed provide something show study participants data quality checking purposes. time improved visual report also useful QC-ing data. however, scorings shown visual report created visual report may reflect scorings main GGIR analyses reported quantitative csv-reports. effort past 10 years gone making sure csv-report correct, visualreport mostly side project. unfortunate hope find funding future design new report specifically purpose QC-ing anlayses done GGIR. maxRecordingInterval - specified controls whether neighboring overlapping recordings participant ID brand appended epoch level. can useful intention monitor behaviour larger periods time accelerometers allow weeks data collection. GGIR never append alter raw input file, operation preformed derived data. study_dates_file - specified trims recorded data first last date study took place. relevant studies started recording several days accelerometers actually worn participants. used top data_masking_strategy, may combined strategies GGIR.","code":"library(GGIR) GGIR(datadir=\"C:/mystudy/mydata\",  outputdir=\"D:/myresults\")"},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"key-arguments-related-to-sleep-analysis","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Key arguments related to sleep analysis","title":"Accelerometer data processing with GGIR","text":"explanation sleep detected specific role various function arguments see section Sleep analysis. Arguments related configuring sleep detection algorithm: anglethreshold, timethreshold, HASPT.algo, HASIB.algo, Sadeh_axis, HASPT.ignore.invalid. ignorenonwear set TRUE ignore detected monitor non-wear periods detection sustained inactivity bouts avoid confusion monitor non-wear time. want create visualisation sleep period time sustained inactivity bouts match throughout day consider arguments .visual, outliers., criterror. want exclude first last night sleep analysis used excludefirstlast. def.noc.sleep specifies sleep period time window estimated sleeplog used. includenightcrit Minimum number valid hours per night (24 hour window noon noon 6pm-6pm). data_cleaning_file ginore specific nights specific individuals, see also section Data cleaning file. want sleep analysis guided sleeplog (diary) check arguments loglocation specifies location spreadsheet (csv) sleep log information. , use arguments colid coln1 specify details sleep log structure. GGIR facilitates two possible sleeplog file structures:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"basic-sleep-log","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function > Key arguments related to sleep analysis","what":"Basic sleep log","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"advanced-sleep-log","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function > Key arguments related to sleep analysis","what":"Advanced sleep log","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"key-arguments-related-to-time-use-analysis","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Key arguments related to time use analysis","title":"Accelerometer data processing with GGIR","text":"explanation time use analysis performed see section Waking-waking 24 hour time-use analysis. excludefirstlast.part5 - whether ignore last first day. includedaycrit.part5 - tell GGIR fraction waking hours day (value 1) acceptable. minimum_MM_length.part5 - tell GGIR minimum length (hours) MM window part 5. Configure thresholds acceleration levels (may want interpret intensity levels): threshold.lig, threshold.mod, threshold.vig. single interruption can last < 1 min Repeated interruptions allowed provided total time exceed 20% bout duration time spent interruptions included duration MVPA bout. example: 25-minute bout can two 1 minute interruption, single 2-minute interruption. , full 25 minutes count towards duration MVPA bout. timewindow specify whether days defined midnight midnight \"MM\", waking-waking-\"WW\", sleep onset sleep onset \"OO\", combination . Configure durations bouts: boutdur.mvpa, boutdur., boutdur.lig. Note can vector multiple values indicating minimum maximum duration subsequent bout types, e.g. 1-5 minutes MVPA, 5-10 minutes MVPA, longer 10 minutes MVPA.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"published-cut-points-and-how-to-use-them","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Published cut-points and how to use them","title":"Accelerometer data processing with GGIR","text":"section rewritten moved. Please, visit vignette Published cut-points use GGIR details cut-points available, use , additional reflections use cut-points GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"example-call","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Example call","title":"Accelerometer data processing with GGIR","text":"consider arguments may end call GGIR look follows. used GGIR output directory (outputdir) filled milestone data results.","code":"library(GGIR) GGIR(mode=c(1,2,3,4,5),       datadir=\"C:/mystudy/mydata\",       outputdir=\"D:/myresults\",       do.report=c(2,4,5),       #=====================       # Part 2       #=====================       data_masking_strategy = 1,       hrs.del.start = 0,          hrs.del.end = 0,       maxdur = 9,                 includedaycrit = 16,       qwindow=c(0,24),       mvpathreshold =c(100),       excludefirstlast = FALSE,       includenightcrit = 16,       #=====================       # Part 3 + 4       #=====================       def.noc.sleep = 1,       outliers.only = TRUE,       criterror = 4,       do.visual = TRUE,       #=====================       # Part 5       #=====================       threshold.lig = c(30), threshold.mod = c(100),  threshold.vig = c(400),       boutcriter = 0.8,      boutcriter.in = 0.9,     boutcriter.lig = 0.8,       boutcriter.mvpa = 0.8, boutdur.in = c(1,10,30), boutdur.lig = c(1,10),       boutdur.mvpa = c(1),       includedaycrit.part5 = 2/3,       #=====================       # Visual report       #=====================       timewindow = c(\"WW\"),       visualreport=TRUE)"},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"configuration-file","dir":"Articles","previous_headings":"Setting up your work environment > GGIR shell function","what":"Configuration file","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"from-the-r-console-on-your-own-desktoplaptop","dir":"Articles","previous_headings":"Time for action: How to run your analysis?","what":"From the R console on your own desktop/laptop","title":"Accelerometer data processing with GGIR","text":"Create R-script put GGIR call . Next, can source R-script source function R: source(\"pathtoscript/myshellscript.R\") use Source button RStudio use RStudio.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"in-a-cluster","dir":"Articles","previous_headings":"Time for action: How to run your analysis?","what":"In a cluster","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"processing-time","dir":"Articles","previous_headings":"Time for action: How to run your analysis?","what":"Processing time","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"inspecting-the-results","dir":"Articles","previous_headings":"","what":"Inspecting the results","title":"Accelerometer data processing with GGIR","text":"GGIR generates following types output. - csv-spreadsheets variables need physical activity, sleep circadian rhythm research - Pdfs page low resolution plot data per file quality indicators - R objects milestone data - Pdfs visual summary physical activity sleep patterns identified (see example )","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"output-part-2","dir":"Articles","previous_headings":"Inspecting the results","what":"Output part 2","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"person-level-summary","dir":"Articles","previous_headings":"Inspecting the results > Output part 2","what":"Person level summary","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"day-level-summary","dir":"Articles","previous_headings":"Inspecting the results > Output part 2","what":"Day level summary","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"data_quality_report","dir":"Articles","previous_headings":"Inspecting the results > Output part 2","what":"Data_quality_report","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"output-part-4","dir":"Articles","previous_headings":"Inspecting the results","what":"Output part 4","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"night-level-summaries","dir":"Articles","previous_headings":"Inspecting the results > Output part 4","what":"Night level summaries","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"non-default-variables-in-part-4-csv-report","dir":"Articles","previous_headings":"Inspecting the results > Output part 4 > Night level summaries","what":"Non-default variables in part 4 csv report","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"visualisation_sleep-pdf","dir":"Articles","previous_headings":"Inspecting the results > Output part 4","what":"visualisation_sleep.pdf","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"output-part-5","dir":"Articles","previous_headings":"Inspecting the results","what":"Output part 5","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"output5","dir":"Articles","previous_headings":"Inspecting the results > Output part 5","what":"Day level summary","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"person-level-summary-1","dir":"Articles","previous_headings":"Inspecting the results > Output part 5","what":"Person level summary","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"output-part-6","dir":"Articles","previous_headings":"Inspecting the results","what":"Output part 6","title":"Accelerometer data processing with GGIR","text":"part6CR = TRUE vector specified paramter .report includes number 6, csv report stored following variables:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"motivation-and-clarification","dir":"Articles","previous_headings":"","what":"Motivation and clarification","title":"Accelerometer data processing with GGIR","text":"chapter try collect motivations clarification behind GGIR may clear existing publications.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"reproducibilty-of-ggir-analyses","dir":"Articles","previous_headings":"Motivation and clarification","what":"Reproducibilty of GGIR analyses","title":"Accelerometer data processing with GGIR","text":"tips increase reproducibility findings: publish findings, please remember add GGIR package version number. GGIR archived CRAN available archive section package website. GGIR evolved years. get better understanding versions differ check NEWS sections package website Report configured accelerometer Report study protocol wear instructions given participants Report GGIR version Report GGIR used: Share config.csv file R script Report post-processed / cleaned GGIR output Report reported outcomes relate specific variable names GGIR","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"auto-calibration","dir":"Articles","previous_headings":"Motivation and clarification","what":"Auto-calibration","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"non-wear-detection","dir":"Articles","previous_headings":"Motivation and clarification","what":"Non-wear detection","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"clipping-score","dir":"Articles","previous_headings":"Motivation and clarification","what":"Clipping score","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"why-collapse-information-to-epoch-level","dir":"Articles","previous_headings":"Motivation and clarification","what":"Why collapse information to epoch level?","title":"Accelerometer data processing with GGIR","text":"Although many data points collected decide work aggregated values (e.g. 1 5 second epochs) following reasons: Accelerometers often used describe patterns metabolic energy expenditure. Metabolic energy expenditure typically defined per breath per minute (indirect calorimetry), per day (room calorimeter), per multiple days (doubly labelled water method). order validate methods reference standards need work similar time resolution. Collapsing data epoch summary measures helps standardise differences sample frequency studies. little evidence raw data accurate representation body acceleration. scientific evidence validity accelerometer data far based epoch averages. Collapsing data epoch summary measures may help average different noise levels make sensor brands comparable.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"why-does-the-first-epoch-not-allign-with-the-original-start-of-the-recording","dir":"Articles","previous_headings":"Motivation and clarification > Why collapse information to epoch level?","what":"Why does the first epoch not allign with the original start of the recording","title":"Accelerometer data processing with GGIR","text":"GGIR uses short (default 5 seconds) long epochs (default 15 minutes). epochs aligned hour day, . example, recording starts 9:52:00 GGIR work epochs derived 10:00:00 onward. recording starts 10:12 GGIR work epochs derived 10:15:00 onward. Motivation: allows us standardised time grid across recordings describe behaviour. allows us calculate behaviour exactly per day per specified time interval day. first 15 minute epochs start 9:52 next one start 10:07, makes impossible make statement behaviour 10:00 13:00.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"Sleep_analysis","dir":"Articles","previous_headings":"Motivation and clarification","what":"Sleep analysis","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"replication-of-the-movement-counts-needed","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis > Notes on sleep classification algorithms designed for count data","what":"Replication of the movement counts needed","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"missing-information-for-replicating-movement-counts","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis > Notes on sleep classification algorithms designed for count data","what":"Missing information for replicating movement counts","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"an-educated-guess-and-how-you-can-to-help-optimise-the-implementation","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis > Notes on sleep classification algorithms designed for count data","what":"An educated guess and how you can to help optimise the implementation","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"guiders","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis","what":"Guiders","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"daysleepers-nights-workers","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis","what":"Daysleepers (nights workers)","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"Cleaningcode","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis","what":"Cleaningcode","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"difference-between-cleaned-and-full-output","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis","what":"Difference between cleaned and full output","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"Data_cleaning_file","dir":"Articles","previous_headings":"Motivation and clarification > Sleep analysis","what":"Data cleaning file","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"Waking-waking_or_24_hour","dir":"Articles","previous_headings":"Motivation and clarification","what":"Waking-waking or 24 hour time-use analysis","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"time-series-output-files","dir":"Articles","previous_headings":"Motivation and clarification > Waking-waking or 24 hour time-use analysis","what":"Time series output files","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"day-inclusion-criteria","dir":"Articles","previous_headings":"Motivation and clarification > Waking-waking or 24 hour time-use analysis","what":"Day inclusion criteria","title":"Accelerometer data processing with GGIR","text":"full part 5 output stored results/QC folder. default inclusion criteria days cleaned output part 5 (stored results folder) : MM WW defined days: valid (sensor worn) time fraction day needs fraction specified argument includedaycrit.part5 (default 2/3). MM defined days : length day needs least number hours specified minimum_MM_length.part5 (default 23). Note experiment started ended middle day default setting exclude incomplete first last days. think including days still meaningful work adjust argument minimum_MM_length.part5. Important notes: criteria set amount valid data SPT window, interested part 5 knowing borders night trust sufficiently estimated part 4. disagree please notice days included full report available results/QC folder. means argument includenightcrit used part 4 used part 5. data_cleaning_file argument discussed Data_cleaning_file also allows tell GGIR person(s) day(s) omitted part 5. day numbers excluded listed column day_part5 header.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"fragmentation-metrics","dir":"Articles","previous_headings":"Motivation and clarification > Waking-waking or 24 hour time-use analysis","what":"Fragmentation metrics","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR. Difference fragments blocks: Elsewhere part5 use term block. block sequence epochs belong behavioural class. may sound similar definition fragment, blocks distinguish every behavioural class, includes subcategories bouted unbouted behaviour. means variables Nblock_day_total_IN Nblock_day_total_LIG identical Nfrag_IN_day Nfrag_LIPA_day, respectively. contrast, fragments may group LIPA MVPA together refering fragmentation PA. Differences R package ActFrag: section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"why-use-data-metric-enmo-as-default","dir":"Articles","previous_headings":"Motivation and clarification","what":"Why use data metric ENMO as default?","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"what-does-ggir-stand-for","dir":"Articles","previous_headings":"Motivation and clarification","what":"What does GGIR stand for?","title":"Accelerometer data processing with GGIR","text":"wanted short name spend much time finding . abbreviation lost functional meaning, now use GGIR name.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"circadian-rhythm-analyses","dir":"Articles","previous_headings":"Motivation and clarification","what":"Circadian Rhythm analyses","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"actigraphs-idle-sleep-mode","dir":"Articles","previous_headings":"Motivation and clarification","what":"ActiGraph’s idle sleep mode","title":"Accelerometer data processing with GGIR","text":"idle sleep mode explained manufacturer’s website. short, idle sleep mode setting can turned user. turned device fall asleep periods movement, resulting time gaps data. functionality probably introduced safe battery life minimize data size. However, also means end time gaps need accounted .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"time-gap-imputation","dir":"Articles","previous_headings":"Motivation and clarification > ActiGraph’s idle sleep mode","what":"Time gap imputation","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"the-importance-of-reporting-idle-sleep-mode-usage","dir":"Articles","previous_headings":"Motivation and clarification > ActiGraph’s idle sleep mode","what":"The importance of reporting idle.sleep.mode usage","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"mx-metrics-minimum-intensity-of-most-active-x-minutes","dir":"Articles","previous_headings":"Motivation and clarification","what":"MX metrics (minimum intensity of most active X minutes)","title":"Accelerometer data processing with GGIR","text":"section migrated section GGIR github-pages, now main documentation resource GGIR.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"Minimum_recording_duration","dir":"Articles","previous_headings":"Motivation and clarification","what":"Minimum recording duration","title":"Accelerometer data processing with GGIR","text":"GGIR designed process multi-day recordings. minimum recording duration considered GGIR depends type analysis: Running part 1 2 File size; least 2MB, 2MB can adjusted argument minimumFileSizeMB. changed unless good reason believe smaller file size also acceptable. Recording duration: least two long epoch windows (default 60 minutes) g.readaccfile. size epoch can altered second third value vector argument windowsizes, third smaller second. example, short lasting lab-experiments may find easier set windowsizes = c(5, 600, 600) non-wear detection usually necessary lab studies. Running part 3 4 least one night data expected, night expected least timestamp midnight. midnight found sleep detection skipped. Running part 5 Ideally two valid consecutive nights waking hours .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"lux-sensor-data-processing","dir":"Articles","previous_headings":"Motivation and clarification","what":"LUX sensor data processing","title":"Accelerometer data processing with GGIR","text":"Although GGIR focuses accelerometer data brands come LUX data. part 1 GGIR calculates peak lux per long epoch default resolution 15 minutes, can modified argument windowsizes. Peak light offers reliable estimate light exposure per time window compared taking average. , LUX used auto-calibration. GGIR part 2 visualise LUX values qc plot. part 3 4 LUX used sleep classification relation light exposure sleep weak. part 5 calculate mean maximum peak LUX per epoch across waking hours day. , mean (peak per epoch) LUX indicate average light exposure per time segment, max peak indicate maximum light exposure per day. , calculate max mean peak LUX per active consecutive X hour day. intended offer alternative LUX exposure waking hours relies correct sleep classification. LUX exposure M10 may seen alternative unsure whether can trust sleep classification data set.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"other-resources","dir":"Articles","previous_headings":"","what":"Other Resources","title":"Accelerometer data processing with GGIR","text":"GGIR package manual provides documentation individual functions. general questions use GGIR join google group/mailing list. bug reports please post .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"CitingGGIR","dir":"Articles","previous_headings":"","what":"Citing GGIR","title":"Accelerometer data processing with GGIR","text":"correct citation research software important make research reproducible acknowledge effort goes development open-source software. , please report GGIR version used text. Additionally, please also cite: Migueles JH, Rowlands AV, et al. GGIR: Research Community–Driven Open Source R Package Generating Physical Activity Sleep Outcomes Multi-Day Raw Accelerometer Data. Journal Measurement Physical Behaviour. 2(3) 2019. doi: 10.1123/jmpb.2018-0063. work depends quantification physical activity also cite: van Hees VT, Gorzelniak L, et al. Separating Movement Gravity Components Acceleration Signal Implications Assessment Human Daily Physical Activity. PLoS ONE 8(4) 2013. link Sabia S, van Hees VT, Shipley MJ, Trenell MI, Hagger-Johnson G, Elbaz , Kivimaki M, Singh-Manoux . Association questionnaire- accelerometer-assessed physical activity: role sociodemographic factors. J Epidemiol. 2014 Mar 15;179(6):781-90. doi: 10.1093/aje/kwt330. Epub 2014 Feb 4. PMID: 24500862 link used auto-calibration functionality also cite: van Hees VT, Fang Z, et al. Auto-calibration accelerometer data free-living physical activity assessment using local gravity temperature: evaluation four continents. J Appl Physiol 2014. link used sleep detection also cite: van Hees VT, Sabia S, et al. novel, open access method assess sleep duration using wrist-worn accelerometer, PLoS ONE, 2015 link used sleep detection without relying sleep diary also cite: van Hees VT, Sabia S, et al. Estimating sleep parameters using accelerometer without sleep diary. Scientific Reports 2018. doi: 10.1038/s41598-018-31266-z. link used sleep regularity index also cite: Andrew J. K. Phillips, William M. Clerx, et al. Irregular sleep/wake patterns associated poorer academic performance delayed circadian sleep/wake timing. Scientific Reports. 2017 June 12 link.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIR.html","id":"copyright-for-ggir-logo","dir":"Articles","previous_headings":"Citing GGIR","what":"Copyright for GGIR logo","title":"Accelerometer data processing with GGIR","text":"copyright GGIR logo lies Accelting (Almere, Netherlands), please contact v.vanhees@acceleting.com ask permission use logo.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"ggir-part-1","dir":"Articles","previous_headings":"","what":"GGIR Part 1","title":"GGIR output","text":"GGIR part 1, outputs RData files used GGIR part 2. RData files intended direct use GGIR user.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"ggir-part-2","dir":"Articles","previous_headings":"","what":"GGIR Part 2","title":"GGIR output","text":"Part 2 generates following output: part2_summary.csv: Person level summary (see ) part2_daysummary.csv: Day level summary (see ) QC/data_quality_report.csv: Overview calibration results whether file corrupt short processed, QC/plots check data quality 1.pdf: pdf visualisation acceleration time series 15 minute resolution invalid data segments highlighted colours (yellow: non-wear based standard deviation threshold, brown: non-wear extra filtering step (introduced 2013), purple: clipping)","code":""},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"day-level-summary-csv","dir":"Articles","previous_headings":"GGIR Part 2","what":"Day level summary (csv)","title":"GGIR output","text":"non-exhaustive list, concepts explained summary.csv","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"data_quality_report-csv","dir":"Articles","previous_headings":"GGIR Part 2","what":"Data_quality_report (csv)","title":"GGIR output","text":"data_quality_report.csv stored subfolder folder results/QC.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"ggir-part-3","dir":"Articles","previous_headings":"","what":"GGIR Part 3","title":"GGIR output","text":"GGIR part 3, outputs RData files used GGIR part 4 5. RData files intended direct use GGIR user.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"ggir-part-4","dir":"Articles","previous_headings":"","what":"GGIR Part 4","title":"GGIR output","text":"Part 4 generates following output:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"night-level-summaries-csv","dir":"Articles","previous_headings":"GGIR Part 4","what":"Night level summaries (csv)","title":"GGIR output","text":"part4_nightsummary_sleep_cleaned.csv QC/part4_nightsummary_sleep_full.csv latter ‘_full’ name intended aid clarifying nights () excluded cleaned summary report. Although, nights accelerometer worn excluded . , 30 day recording accelerometer worn day 7 onward find last 22 nights either csv-report. csv. files contain variables shown . Non-default variables part 4 csv report additional stored used sleeplog captures time bed, using guider HorAngle hip-worn accelerometer data. either applies set argument sleepwindowType “TimeInBed”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"person-level-summaries-csv","dir":"Articles","previous_headings":"GGIR Part 4","what":"Person level summaries (csv)","title":"GGIR output","text":"part4_summary_sleep_cleaned.csv QC/part4_summary_sleep_full.csv person level report variables derived variables night level summary. Minor extensions variable names explain variables aggregated across days. Please find extra clarification variable names meaning may obvious:","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"visualisation-pdf","dir":"Articles","previous_headings":"GGIR Part 4","what":"Visualisation (pdf)","title":"GGIR output","text":"Visualisation support data quality checks: - visualisation_sleep.pdf (optional) input argument .visual set TRUE GGIR can show following visual comparison time window asleep (bed) according sleeplog detected sustained inactivity bouts according accelerometer data. visualisation stored results folder visualisation_sleep.pdf. Explanation image: line represents one night. Colours used distinguish definitions sustained inactivity bouts (2 definitions case) indicate existence absence overlap sleeplog. argument outliers.set FALSE visualise available nights dataset. outliers.set TRUE visualise nights difference onset waking time sleeplog sustained inactivity bouts larger value argument criterror. visualisation outliers.set TRUE critererror set 4 powerful identify entry errors sleeplog data van Hees et al PLoSONE 2015. 25 thousand nights data, visualisation allowed us quickly zoom problematic nights investigate possible mistakes GGIR mistakes data entry.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"ggir-part-5","dir":"Articles","previous_headings":"","what":"GGIR Part 5","title":"GGIR output","text":"output part 5 dependent parameter configuration, generate many output files unique combination three thresholds provided. example, following files generated threshold configuration 30 light activity, 100 moderate 400 vigorous activity: part5_daysummary_MM_L30M100V400_T5A5.csv part5_daysummary_WW_L30M100V400_T5A5.csv part5_personsummary_MM_L30M100V400_T5A5.csv part5_personsummary_WW_L30M100V400_T5A5.csv file summary reports/Report_nameofdatafile.pdf","code":""},{"path":[]},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"old-napping-behaviour-variables-to-be-deprecated","dir":"Articles","previous_headings":"GGIR Part 5 > Day level summary (csv)","what":"Old napping behaviour variables (to be deprecated)","title":"GGIR output","text":"variables deprecated napping, detection turned , now behavioural category just like behaviours. Special note working compositional data analysis: duration dur_ variables _total_ name add total length waking hours day. Similarly, duration dur_ variables excluding variables _total_ name excluding variable dur_day_min, dur_spt_min, dur_day_spt_min also add length full day. Motivation default boutcriter.= 0.9: idea allow bouts 30 minutes make sense allow breaks 20 percent (6 minutes!) used stringent criteria highest category. Please note can change criteria via arguments boutcriter.mvpa, boutcriter., boutcriter.lig.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"person-level-summary-csv-1","dir":"Articles","previous_headings":"GGIR Part 5","what":"Person level summary (csv)","title":"GGIR output","text":"variables person level summary derived day level summary, extended _pla indicate variable calculated plain average across valid days. Variables extended _wei represent weighted average across days weekend days always weighted 2/5 relative contribution week days.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRoutput.html","id":"ggir-part-6","dir":"Articles","previous_headings":"","what":"GGIR Part 6","title":"GGIR output","text":"Part 6 stores person level summary (csv). column names overlap part 5, now derived based full time series , whereas part 5 presents variables per day window aggregated person level.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"default-argument-values","dir":"Articles","previous_headings":"","what":"Arguments/parameters description","title":"GGIR configuration parameters","text":"information shown auto-generated identical information provided GGIR package pdf manual.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"mode","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"mode","title":"GGIR configuration parameters","text":"Numeric (default = 1:5). Specify five parts need run, e.g., mode = 1 makes g.part1 run; mode = 1:5 makes whole GGIR pipeline run, g.part1 g.part5. Optionally mode can also include number 6 tell GGIR run g.part6 currently development.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"datadir","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"datadir","title":"GGIR configuration parameters","text":"Character (default = c()). Directory accelerometer files stored, e.g., “C:/mydata”, list accelerometer filenames directories, e.g. c(“C:/mydata/myfile1.bin”, “C:/mydata/myfile2.bin”).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"outputdir","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"outputdir","title":"GGIR configuration parameters","text":"Character (default = c()). Directory output needs stored. Note function attempt create folders directory uses folder keep output.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"studyname","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"studyname","title":"GGIR configuration parameters","text":"Character (default = c()). datadir folder, study given name data directory. datadir list filenames studyname specified input argument used name study.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"f0","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"f0","title":"GGIR configuration parameters","text":"Numeric (default = 1). File index start (default = 1). Index refers filenames sorted alphabetical order.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"f1","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"f1","title":"GGIR configuration parameters","text":"Numeric (default = 0). File index finish (defaults number files available).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-report","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"do.report","title":"GGIR configuration parameters","text":"Numeric (default = c(2, 4, 5, 6)). parts generate summary spreadsheet: 2, 4, 5, /6. Default c(2, 4, 5, 6). report generated based available milestone data. creating milestone data multiple machines advisable turn report generation generating milestone data, value = c(), merge milestone data turn report generation back setting overwrite FALSE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"configfile","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"configfile","title":"GGIR configuration parameters","text":"Character (default = c()). Configuration file previously generated function GGIR. See details.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"myfun","dir":"Articles","previous_headings":"Arguments/parameters description > GGIR function input arguments","what":"myfun","title":"GGIR configuration parameters","text":"List (default = c()). External function object applied raw data. See package vignette detailed tutorial examples use function embedding: https://cran.r-project.org/package=GGIR/vignettes/ExternalFunction.html","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"overwrite","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"overwrite","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). want overwrite analysis milestone data exists? overwrite = FALSE, milestone data previous analysis used available visual reports created .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"acc-metric","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"acc.metric","title":"GGIR configuration parameters","text":"Character (default = “ENMO”). one acceleration metrics want use acceleration magnitude analyses GGIR part 5 visual report? example: “ENMO”, “LFENMO”, “MAD”, “NeishabouriCount_y”, “NeishabouriCount_vm”. one acceleration metric can specified selected metric needs calculated part 1 (see g.part1) via arguments .enmo = TRUE .mad = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"maxncores","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"maxNcores","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Maximum number cores use argument .parallel set true. GGIR default uses either maximum number available cores number files process (whichever lower), argument allows set lower maximum.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"print-filename","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"print.filename","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). Whether print filename analysing (case .parallel = FALSE). Printing filename can useful investigate problems (e.g., verify file read).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-parallel","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"do.parallel","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). Whether use multi-core processing (works least 4 CPU cores available).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"windowsizes","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"windowsizes","title":"GGIR configuration parameters","text":"Numeric vector, three values (default = c(5, 900, 3600)). indicate lengths windows c(window1, window2, window3): window1 short epoch length seconds, default 5, time window acceleration angle metrics calculated; window2 long epoch length seconds non-wear signal clipping defined, default 900 (expected multitude 60 seconds); window3 window length data used non-wear detection default 3600 seconds. , window3 larger window2 use overlapping windows, window2 equals window3 non-wear periods assessed non-overlapping windows.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"desiredtz","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"desiredtz","title":"GGIR configuration parameters","text":"Character (default = ““, .e., system timezone). Timezone device configured experiments took place. experiments took place different timezone, use argument timezone experiments took place argument configtz specify device configured. Use ”TZ identifier” specified ://en.wikipedia.org/wiki/Zone.tabhttps://en.wikipedia.org/wiki/Zone.tab set desiredtz, e.g., “Europe/London”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"configtz","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"configtz","title":"GGIR configuration parameters","text":"Character (default = ““, .e., system timezone). moment functional GENEActiv .bin, AX3 cwa, ActiGraph .gt3x, ad-hoc csv file format. Timezone accelerometer configured. use argument timezone configuration timezone recording took place different. Use ”TZ identifier” specified ://en.wikipedia.org/wiki/Zone.tabhttps://en.wikipedia.org/wiki/Zone.tab set configtz, e.g., “Europe/London”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"idloc","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"idloc","title":"GGIR configuration parameters","text":"Numeric (default = 1). idloc = 1 code assumes ID number stored obvious header field. Note ActiGraph data ID never stored file header. value set 2, 5, 6, 7, GGIR looks filename extracts character string preceding first occurance “_” (idloc = 2), ” ” (space, idloc = 5), “.” (dot, idloc = 6), “-” (idloc = 7), respectively. may noticed idloc 3 4 skipped, used one study 2012, actively maintained anymore, legacy code omitted.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dayborder","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"dayborder","title":"GGIR configuration parameters","text":"Numeric (default = 0). Hour days start end (dayborder = 4 mean 4 ).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part5_agg2_60seconds","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"part5_agg2_60seconds","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). Whether use aggregate epochs 60 seconds part GGIR g.part5 analysis. Aggregation doen averaging. Note working count metrics Neishabouri counts means threshold can stay part 2, threshold expressed relative original epoch size, even averaged per minute. example want use cut-point 100 count per minute specify mvpathreshold = 100 * (5/60) well `threshold.mod = 100 * (5/60) regardless whether set part5_agg2_60seconds TRUE FALSE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sensor-location","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"sensor.location","title":"GGIR configuration parameters","text":"Character (default = “wrist”). indicate sensor location, default wrist. hip, HDCZA algorithm sleep detection also requires longitudinal axis sensor -45 +45 degrees.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"expand_tail_max_hours","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"expand_tail_max_hours","title":"GGIR configuration parameters","text":"Numeric (default = NULL). parameter replaced recordingEndSleepHour.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"recordingendsleephour","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"recordingEndSleepHour","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Time (hours) recording end (later) expand g.part1 output synthetic data trigger sleep detection last night. Using argument recordingEndSleepHour implies assumption participant fell asleep end recording recording ended recordingEndSleepHour hour last day. assumption may always hold true used caution. synthetic data metashort entails: timestamps continuing regularly, zeros acceleration metrics EN, one EN. Angle columns created way triggers sleep detection using equation: round(sin((1:length_expansion) / (900/epochsize))) * 15. keep track tail expansion g.part1 stores length expansion RData files, passed via g.part2, g.part3, g.part4 g.part5. g.part5 tail expansion size included additional variable csv-reports. g.part4 csv-report last night omitted, know sleep estimates last night trustworthy. Similarly, g.part5 output columns related sleep assessment omitted last window avoid biasing averages. , synthetic data also ignored visualizations time series output avoid biased output.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dataformat","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"dataFormat","title":"GGIR configuration parameters","text":"Character (default = “raw”). indicate format data datadir. Alternatives: ukbiobank_csv, actiwatch_csv, actiwatch_awd, actigraph_csv, sensewear_xls, correspond epoch level data files , respecitively, UK Biobank csv format, Actiwatch csv format, Actiwatch awd format, ActiGraph csv format, Sensewear xls format (also works xlsx). , assumed epoch size UK Biobank csvdata 5 seconds. epoch size non-raw data formats flexible, make sure set first value argument windowsizes accordingly. Also working non-raw data formats specify argument extEpochData_timeformat documented . ukbiobank_csv nonwear column data , actiwatch_csv, actiwatch_awd, actigraph_csv, sensewear_xls non-wear detected 60 minute rolling zeros. length window can modified third value argument windowsizes expressed seconds.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"maxrecordinginterval","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"maxRecordingInterval","title":"GGIR configuration parameters","text":"Numeric (default = NULL). indicate maximum gap hours repeated measurements ID recordings appended. , assumption ID can matched, make sure argument idloc set correctly. argument maxRecordingInterval set NULL (default) recordings appended. recordings overlap GGIR use data latest recording. recordings separated timegap recordings filled data points resemble monitor worn. maximum value maxFile gap 504 (21 days). recordings accelerometer brand appended. part 2 csv report show number appended recordings, sampling rate , time overlap gap names filenames respective recording.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"extepochdata_timeformat","dir":"Articles","previous_headings":"Arguments/parameters description > General Parameters","what":"extEpochData_timeformat","title":"GGIR configuration parameters","text":"Character (default = “%d-%m-%Y %H:%M:%S”). specify time format used external epoch level data argument dataFormat set “actiwatch_csv”, “actiwatch_awd”, “actigraph_csv” “sensewear_xls”. example “%Y-%m-%d %:%M:%S %p” “2023-07-11 01:24:01 PM” “%m/%d/%Y %H:%M:%S” “2023-07-11 13:24:01”","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"chunksize","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"chunksize","title":"GGIR configuration parameters","text":"Numeric (default = 1). Value specify size chunks loaded fraction approximately 12 hour period auto-calibration procedure fraction 24 hour period metric calculation, e.g., 0.5 equals 6 12 hour chunks, respectively. machines less 4Gb RAM memory < 2GB memory per process using .parallel = TRUE value 1 recommended. value constrained GGIR lower 0.05. Please note setting 0.05 produce output 3rd value parameter windowsizes 3600.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"spherecrit","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"spherecrit","title":"GGIR configuration parameters","text":"Numeric (default = 0.3). minimum required acceleration value (g) sides 0 g axis. Used judge whether sphere sufficiently populated","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"minloadcrit","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"minloadcrit","title":"GGIR configuration parameters","text":"Numeric (default = 168). minimum number hours code needs read autocalibration procedure effective (sensitive multitudes 12 hrs, values ceiled). loading hours extra data loaded calibration error reduced 0.01 g.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"printsummary","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"printsummary","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE print summary calibration procedure console done.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-cal","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"do.cal","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). Whether apply auto-calibration g.calibrate. Recommended setting TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"backup-cal-coef","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"backup.cal.coef","title":"GGIR configuration parameters","text":"Character (default = “retrieve”). Option use backed-calibration coefficient instead deriving calibration coefficients analysing file twice. Argument backup.cal.coef two usecase. Use case 1: auto-calibration fails user option provide back-calibration coefficients via argument. value argument needs name directory csv-spreadsheet following column names subsequent values: “filename” names accelerometer files calibration coefficients need applied case auto-calibration fails; “scale.x”, “scale.y”, “scale.z” scaling coefficients; “offset.x”, “offset.y”, “offset.z” offset coefficients, ; “temperature.offset.x”, “temperature.offset.y”, “temperature.offset.z” temperature offset coefficients. can useful analysing short lasting laboratory experiments insufficient sphere data perform auto-calibration, calibration coefficients can derived alternative way. users responsibility compile csv-spreadsheet. Instead building file user can also Use case 2: user wants avoid performing auto-calibration repeatedly file. backup.cal.coef value set “retrieve” (default) GGIR look “data_quality_report.csv” file outputfolder QC, holds previously generated calibration coefficients. want happen, deleted data_quality_report.csv QC folder set value “redo”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dynrange","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"dynrange","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Provide dynamic range 8 gravity.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"minimumfilesizemb","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"minimumFileSizeMB","title":"GGIR configuration parameters","text":"Numeric (default = 2). Minimum File size MB required enter processing. argument can help avoid short uninformative files enter analyses. Given typical accelerometer collects several MBs per hour, default setting skip tiny files.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-dec","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.dec","title":"GGIR configuration parameters","text":"Character (default = “.”). Decimal used numbers, dec argument [utils]read.csv [data.table]fread.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-firstrow-acc","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.firstrow.acc","title":"GGIR configuration parameters","text":"Numeric (default = NULL). First row (number) acceleration data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-firstrow-header","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.firstrow.header","title":"GGIR configuration parameters","text":"Numeric (default = NULL). First row (number) header. Leave blank file header.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-header-length","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.header.length","title":"GGIR configuration parameters","text":"Numeric (default = NULL). file header, specify header length (number rows).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-col-acc","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.col.acc","title":"GGIR configuration parameters","text":"Numeric, three values (default = c(1, 2, 3)). Vector three column (numbers) acceleration signals stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-col-temp","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.col.temp","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Scalar column (number) temperature stored. Leave default setting temperature available. temperature used g.calibrate.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-col-time","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.col.time","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Scalar column (number) timestamps stored. Leave default setting timestamps stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-unit-acc","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.unit.acc","title":"GGIR configuration parameters","text":"Character (default = “g”). Character unit acceleration values: “g”, “mg”, “bit”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-unit-temp","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.unit.temp","title":"GGIR configuration parameters","text":"Character (default = “C”). Character unit temperature values: (K)elvin, (C)elsius, (F)ahrenheit.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-unit-time","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.unit.time","title":"GGIR configuration parameters","text":"Character (default = “POSIX”). Character unit timestamps: “POSIX”, “UNIXsec” (seconds since origin, see argument rmc.origin), “UNIXmsec” (UNIXsec milliseconds), “character”, “ActivPAL” (exotic timestamp format used ActivPAL activity monitor).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-format-time","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.format.time","title":"GGIR configuration parameters","text":"Character (default = “%Y-%m-%d %H:%M:%OS”). Character giving date-time format used [base]strptime. used rmc.unit.time: character POSIX.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-bitrate","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.bitrate","title":"GGIR configuration parameters","text":"Numeric (default = NULL). unit acceleration bit provide bit rate, e.g., 12 bit.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-dynamic_range","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.dynamic_range","title":"GGIR configuration parameters","text":"Numeric character (default = NULL). unit acceleration bit provide dynamic range deviation g zero, e.g., +/-6g mean argument needs 6. give argument character value code search file header elements name equal character value use corresponding numeric value next dynamic range.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-unsignedbit","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.unsignedbit","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). unsignedbit = TRUE means bits positive numbers. unsignedbit = FALSE bits positive negative.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-origin","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.origin","title":"GGIR configuration parameters","text":"Character (default = “1970-01-01”). Origin time unit time UNIXsec, e.g., 1970-1-1.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-desiredtz","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.desiredtz","title":"GGIR configuration parameters","text":"Character (default = NULL). Timezone experiments took place. argument scheduled deprecated now used overwrite desiredtz provided.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-configtz","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.configtz","title":"GGIR configuration parameters","text":"Character (default = NULL). Timezone device configured. argument scheduled deprecated now used overwrite configtz provided.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-sf","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.sf","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Sample rate Hertz, stored file header used instead (see argument rmc.headername.sf).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-headername-sf","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.headername.sf","title":"GGIR configuration parameters","text":"Character (default = NULL). file header: Row name sample frequency can found.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-headername-sn","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.headername.sn","title":"GGIR configuration parameters","text":"Character (default = NULL). file header: Row name serial number can found.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-headername-recordingid","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.headername.recordingid","title":"GGIR configuration parameters","text":"Character (default = NULL). file header: Row name recording ID can found.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-header-structure","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.header.structure","title":"GGIR configuration parameters","text":"Character (default = NULL). Used split header name header value, e.g., “:” ” “.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-check4timegaps","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.check4timegaps","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). indicate whether gaps time imputed zeros. sensing equipment provides accelerometer gaps time. rest GGIR designed , setting argument TRUE gaps time filled zeros.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-noise","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.noise","title":"GGIR configuration parameters","text":"Numeric (default = 13). Noise level acceleration signal m-units, used working ad-hoc .csv data formats using read.myacc.csv. read.myacc.csv take rmc.noise argument, interacting GGIR g.part1 rmc.noise used.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nonwear_range_threshold","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"nonwear_range_threshold","title":"GGIR configuration parameters","text":"Numeric (default 150) used define maximum value range per axis non-wear detection, used combination brand specific standard deviation per axis.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-col-wear","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.col.wear","title":"GGIR configuration parameters","text":"Numeric (default = NULL). external wear detection outcome stored part data can used GGIR. argument specifies column wear detection (Boolean) stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-doresample","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.doresample","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). indicate whether resample data based available timestamps extracted sample rate file header.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"interpolationtype","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"interpolationType","title":"GGIR configuration parameters","text":"Integer (default = 1). indicate type interpolation used resampling time series (mainly relevant Axivity sensors), 1=linear, 2=nearest neighbour.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"imputetimegaps","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"imputeTimegaps","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). indicate whether timegaps larger 1 sample imputed. Currently used .gt3x data ActiGraph .csv format, timegaps can expected result Actigraph’s idle sleep.mode configuration.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"frequency_tol","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"frequency_tol","title":"GGIR configuration parameters","text":"Number (default = 0.1) passed readAxivity GGIRread package. Represents frequency tolerance fraction 0 1. relative bias per data block larger fraction data block imputed lack movement gravitational oriationed guessed recent valid data block. applicable Axivity .cwa data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"rmc-scalefactor-acc","dir":"Articles","previous_headings":"Arguments/parameters description > Raw Data Parameters","what":"rmc.scalefactor.acc","title":"GGIR configuration parameters","text":"Numeric value (default 1) scale acceleration signals via multiplication. example, data provided m/s2 setting 1/9.81 derive gravitational units.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-anglex","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.anglex","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates angle X axis relative horizontal: = (^-1_rollmedian(x)(acc_rollmedian(y))^2 + (acc_rollmedian(z))^2) * 180/","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-angley","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.angley","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates angle Y axis relative horizontal: = (^-1_rollmedian(y)(acc_rollmedian(x))^2 + (acc_rollmedian(z))^2) * 180/","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-anglez","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.anglez","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE, calculates angle Z axis relative horizontal: = (^-1_rollmedian(z)(acc_rollmedian(x))^2 + (acc_rollmedian(y))^2) * 180/","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-zcx","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.zcx","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric zero-crossing count x-axis. computation specifics see source code function g.applymetrics","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-zcy","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.zcy","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric zero-crossing count y-axis. computation specifics see source code function g.applymetrics","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-zcz","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.zcz","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric zero-crossing count z-axis. computation specifics see source code function g.applymetrics","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-enmo","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.enmo","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE, calculates metric: = _x^2 + acc_y^2 + acc_z^2 - 1 (ENMO < 0, ENMO = 0).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-lfenmo","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.lfenmo","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric ENMO low-pass filtered accelerations (computation specifics see source code function g.applymetrics). filter bound defined parameter hb.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-en","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.en","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates Euclidean Norm raw accelerations: = _x^2 + acc_y^2 + acc_z^2","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-mad","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.mad","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates Mean Amplitude Deviation: = 1n|r_i - |","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-enmoa","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.enmoa","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric: = _x^2 + acc_y^2 + acc_z^2 - 1 (ENMOa < 0, ENMOa = |ENMOa|).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-roll_med_acc_x","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.roll_med_acc_x","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-roll_med_acc_y","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.roll_med_acc_y","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-roll_med_acc_z","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.roll_med_acc_z","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-dev_roll_med_acc_x","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.dev_roll_med_acc_x","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-dev_roll_med_acc_y","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.dev_roll_med_acc_y","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-dev_roll_med_acc_z","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.dev_roll_med_acc_z","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-bfen","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.bfen","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-hfen","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.hfen","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-hfenplus","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.hfenplus","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-lfen","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.lfen","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-lfx","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.lfx","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-lfy","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.lfy","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-lfz","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.lfz","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-hfx","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.hfx","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-hfy","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.hfy","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-hfz","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.hfz","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-bfx","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.bfx","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-bfy","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.bfy","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-bfz","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.bfz","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric. computation specifics see source code function g.applymetrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-brondcounts","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.brondcounts","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). option deprecated (October 2022) due issues activityCounts package used dependency. TRUE, calculated metric via R package activityCounts. called BrondCounts large number activity counts physical activity sleep research field. calling brondcounts clarify counts proposed Jan Brønd implemented R Ruben Brondeel. brondcounts intended imitation counts produced one closed source ActiLife software ActiGraph.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-neishabouricounts","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"do.neishabouricounts","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates metric via R package actilifecounts, implementation algorithm used closed-source software ActiLife ActiGraph (methods published doi: 10.1038/s41598-022-16003-x). use name first author (instead ActiLifeCounts) paper call NeishabouriCount uncertainty ActiLife implement algorithm time. use Neishabouri counts physical activity intensity classification part 5 (.e., metric threshold.lig, threshold.mod, threshold.vig applied), acc.metric argument needs set one following: “NeishabouriCount_x”, “NeishabouriCount_y”, “NeishabouriCount_z”, “NeishabouriCount_vm” use counts x-, y-, z-axis vector magnitude, respectively.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"hb","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"hb","title":"GGIR configuration parameters","text":"Numeric (default = 15). Higher boundary frequency filter (Hertz) used filter-based metrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"lb","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"lb","title":"GGIR configuration parameters","text":"Numeric (default = 0.2). Lower boundary frequency filter (Hertz) used filter-based metrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"n","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"n","title":"GGIR configuration parameters","text":"Numeric (default = n). Order frequency filter used filter-based metrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"zc-lb","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"zc.lb","title":"GGIR configuration parameters","text":"Numeric (default = 0.25). Used zero-crossing counts . Lower boundary cut-frequency filter.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"zc-hb","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"zc.hb","title":"GGIR configuration parameters","text":"Numeric (default = 3). Used zero-crossing counts . Higher boundary cut-frequencies filter.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"zc-sb","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"zc.sb","title":"GGIR configuration parameters","text":"Numeric (default = 0.01). Stop band used calculation zero crossing counts. Value acceleration threshold g units acceleration rounded zero.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"zc-order","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"zc.order","title":"GGIR configuration parameters","text":"Numeric (default = 2). Used zero-crossing counts . Order frequency filter.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"zc-scale","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"zc.scale","title":"GGIR configuration parameters","text":"Numeric (default = 1) Used zero-crossing counts . Scaling factor applied counts calculated (GGIR part 3).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"actilife_lfe","dir":"Articles","previous_headings":"Arguments/parameters description > Metrics Parameters","what":"actilife_LFE","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE, calculates NeishabouriCount metric low-frequency extension filter proposed closed source ActiLife software ActiGraph. applicable metric NeishabouriCount.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"includedaycrit","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"includedaycrit","title":"GGIR configuration parameters","text":"Numeric (default = 16). Minimum required number valid hours calendar day specific analysis part 2. specify two values c(16, 16) first value used part 2 second value used part 5 applied criterion full part 5 window. Note applied addition parameter includedaycrit.part5 looks valid data waking hours.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ndayswindow","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"ndayswindow","title":"GGIR configuration parameters","text":"Numeric (default = 7). data_masking_strategy set 3 5, size window number days. data_masking_strategy 3 value can fractional, e.g. 7.5, data_masking_strategy 5 needs integer.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"strategy","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"strategy","title":"GGIR configuration parameters","text":"Deprecated replaced data_masking_strategy. strategy specified value passed used data_masking_strategy.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"data_masking_strategy","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"data_masking_strategy","title":"GGIR configuration parameters","text":"Numeric (default = 1). deal knowledge study protocol. data_masking_strategy = 1 means select data based hrs.del.start hrs.del.end. data_masking_strategy = 2 makes data first midnight last midnight used. data_masking_strategy = 3 selects active X days file X specified argument ndayswindow, days series 24-h blocks starting time day (X hours beginning end period can deleted arguments hrs.del.start hrs.del.end) data_masking_strategy = 4 use data first midnight. data_masking_strategy = 5 similar data_masking_strategy = 3, selects X complete calendar days X specified argument ndayswindow (X hours beginning end period can deleted arguments hrs.del.start hrs.del.end).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"maxdur","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"maxdur","title":"GGIR configuration parameters","text":"Numeric (default = 0). many DAYS start experiment experiment definitely stop? (set zero unknown).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"hrs-del-start","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"hrs.del.start","title":"GGIR configuration parameters","text":"Numeric (default = 0). many HOURS start experiment wearing monitor start? Used GGIR g.part2 data_masking_strategy = 1.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"hrs-del-end","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"hrs.del.end","title":"GGIR configuration parameters","text":"Numeric (default = 0). many HOURS end experiment wearing monitor definitely end? Used GGIR g.part2 data_masking_strategy = 1.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"includedaycrit-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"includedaycrit.part5","title":"GGIR configuration parameters","text":"Numeric (default = 2/3). Inclusion criteria used part 5 number valid hours waking hours day, value smaller equal 1 used fraction waking hours, value 1 used absolute number valid hours required. confuse argument argument includedaycrit used GGIR part 2 applies entire day.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"excludefirstlast-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"excludefirstlast.part5","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE first last window (waking-waking, midnight-midnight, sleep onset-onset) ignored g.part5.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"timesegments2zerofile","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"TimeSegments2ZeroFile","title":"GGIR configuration parameters","text":"Character (default = NULL). Takes path csv file columns “windowstart” “windowend” refer start end time time windows format “2024-10-12 20:00:00”, “filename” GGIR milestone data file without “meta_” segment name. GGIR part 2 uses set acceleration values zero non-wear classification zero (meaning sensor worn). Motivation: accelerometer worn night GGIR automatically labels invalid, user may like treat zero movement. Disclaimer: functionality developed 2019. hindsight generic enough need revision. Please contact GGIR maintainers like us invest time improving functionality.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-imp","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"do.imp","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). Whether impute missing values (e.g., suspected monitor non-wear clippling) g.impute GGIR g.part2. Recommended setting TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"data_cleaning_file","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"data_cleaning_file","title":"GGIR configuration parameters","text":"Character (default = NULL). Optional path csv file create holds four columns: ID, day_part5, relyonguider_part4, night_part4. ID hold participant ID. Columns day_part5 night_part4 allow specify day(s) night(s) need excluded g.part5 g.part4, respectively. including multiple day(s)/night(s) create new line day/night. , done regardless whether rest GGIR thinks day(s)/night(s) valid. Column relyonguider_part4 allows specify nights g.part4 fully rely guider. See also package vignette.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"minimum_mm_length-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"minimum_MM_length.part5","title":"GGIR configuration parameters","text":"Numeric (default = 23). Minimum length hours MM day included cleaned g.part5 results.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"excludefirstlast","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"excludefirstlast","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE first last night measurement ignored sleep assessment g.part4.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"includenightcrit","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"includenightcrit","title":"GGIR configuration parameters","text":"Numeric (default = 16). Minimum number valid hours per night (24 hour window noon noon), used sleep assessment g.part4.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"excludefirst-part4","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"excludefirst.part4","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE first night measurement ignored sleep assessment g.part4.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"excludelast-part4","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"excludelast.part4","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). TRUE last night measurement ignored sleep assessment g.part4.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"max_calendar_days","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"max_calendar_days","title":"GGIR configuration parameters","text":"Numeric (default = 0). maximum number calendar days include (set zero unknown).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nonwearedgecorrection","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"nonWearEdgeCorrection","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE non-wear detection around edges recording (first last 3 hours) corrected following description vanHees2013 default since . functionality advisable working sleep clinic exercise lab data typically lasting less day.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nonwear_approach","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"nonwear_approach","title":"GGIR configuration parameters","text":"Character (default = “2023”). Whether use traditional version non-wear detection algorithm (nonwear_approach = “2013”) new version (nonwear_approach = “2023”). 2013 version use longsize window (windowsizes[3], one hour default) check conditions nonwear identification flag nonwear mediumsize window (windowsizes[2], 15 min default) middle. 2023 version differs flag nonwear full longsize window. 2013 method longsize window centered centre mediumsize window, 2023 method longsizewindow aligned left edge left edge mediumsize window.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"segmentwearcrit-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"segmentWEARcrit.part5","title":"GGIR configuration parameters","text":"Numeric (default = 0.5). Fraction qwindow segment expected valid part 5, 0.3 indicates least 30 percent time valid.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"segmentdaysptcrit-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"segmentDAYSPTcrit.part5","title":"GGIR configuration parameters","text":"Numeric vector length 2 (default = c(0.9, 0)). Inclusion criteria proportion segment classified day (awake) spt (sleep period time) considered valid. interested comparing time spent behaviour better set one two numbers 0, defines proportion segment classified day spt, respectively. default setting focus waking hour segments includes segments overlap least 90 percent waking hours. order shift focus SPT use c(0, 0.9) ensures segments overlap least 90 percent SPT included. Setting zero problematic comparing time spent behaviours days individuals: complete segment averaged incomplete segments (someone going bed waking middle segment) longer clear whether person less active sleeps segment. Similarly clear whether person wakefulness SPT segment woke went bed segment.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"study_dates_file","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"study_dates_file","title":"GGIR configuration parameters","text":"Character (default = c()). Full path csv file containing first last date expected wear period every study participant (dates provided per individual). Expected format activity diary : First column headers followed one row per recording. three columns: first column recording ID, needs match ID GGIR extracts accelerometer file; second column contain first date study; third column last date study. Date columns default format “23-04-2017”, date format specified argument study_dates_dateformat (). specified (default), GGIR use first last day recording beginning end study. Note dates used top data_masking_strategy selected.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"study_dates_dateformat","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"study_dates_dateformat","title":"GGIR configuration parameters","text":"Character (default = “%d-%m-%Y”). specify date format used study_dates_file used [base]strptime.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"includecrit-part6","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"includecrit.part6","title":"GGIR configuration parameters","text":"Numeric (default = c(2/3, 2/3)) Vector two minimum fraction valid data required day spt time, respectively. criteria used circadian rhythm analysis.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"includenightcrit-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"includenightcrit.part5","title":"GGIR configuration parameters","text":"Numeric (default = 0). Inclusion criteria used part 5 number valid hours sleep period hours day (night), value smaller equal 1 used fraction sleep period hours, value 1 used absolute number valid hours required. confuse argument argument includenightcrit used GGIR part 4 applies entire 24 hour window noon noon 6pm 6pm.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nonwearfiltermaxhours","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"nonwearFiltermaxHours","title":"GGIR configuration parameters","text":"Numeric (default = NULL). NULL, ignore detected nonwear periods last shorter nonwearFiltermaxHours window defined parameter NonwearFilterWindow. NonwearFilterWindow provided (set NULL default) check whether qwindow defined activity diary file whether timestamps allow defining time bed, SPT lightsoff window. code looks column names diary terms inbed, sleeponset, lightsout define start window. , define end window code looks columns outbed, wakeup, lightsoff. yes, uses largest windows can defined timestamps. , use midnight-6am fall back setting. may realise columns advanced format sleelog accepted GGIR part 4. , already advanced format sleeplog part 4 can provide value qwindow parameter. want use qwindow guide nonwear filtering described want GGIR use day segment analysis part 2 5 make sure diary filename includes word “onlyfilter” “filteronly” tell GGIR use qwindow nonwear filtering. main purpose functionality offer option ignore short lasting nonwear episodes night suspicion falsely detect, e.g. individuals extended motionless sleep periods caused medication.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nonwearfilterwindow","dir":"Articles","previous_headings":"Arguments/parameters description > Cleaning Parameters","what":"nonwearFilterWindow","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Vector length 2 specify start end hour night used functionality described NonwearFiltermaxHours.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"anglethreshold","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"anglethreshold","title":"GGIR configuration parameters","text":"Numeric (default = 5). Angle threshold (degrees) sustained inactivity periods detection. algorithm look periods time (timethreshold) angle variability lower anglethreshold. can specified multiple thresholds, implemented, e.g., anglethreshold = c(5,10).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"timethreshold","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"timethreshold","title":"GGIR configuration parameters","text":"Numeric (default = 5). Time threshold (minutes) sustained inactivity periods detection. algorithm look periods time (timethreshold) angle variability lower anglethreshold. can specified multiple thresholds, implemented, e.g., timethreshold = c(5,10).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ignorenonwear","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"ignorenonwear","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE ignore detected monitor non-wear periods avoid confusion monitor non-wear time sustained inactivity.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"haspt-algo","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"HASPT.algo","title":"GGIR configuration parameters","text":"Character (default = “HDCZA”). indicate algorithm used sleep period time detection. Default “HDCZA” Heuristic algorithm looking Distribution Change Z-Angle described van Hees et al. 2018. options included: “HorAngle”, based HDCZA replaces non-movement detection HDCZA algorithm looking time segments angle longitudinal sensor axis angle relative horizontal plane -45 +45 degrees. “NotWorn” also HDCZA looks time segments rolling average acceleration magnitude 5 per cent standard deviation, see Cookbook vignette Annexes https://wadpac.github.io/GGIR/ detailed guidance use “NotWorn”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"hasib-algo","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"HASIB.algo","title":"GGIR configuration parameters","text":"Character (default = “vanHees2015”). indicate algorithm used define sustained inactivity bouts (.e., likely sleep). Options: “vanHees2015”, “Sadeh1994”, “Galland2012”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sadeh_axis","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"Sadeh_axis","title":"GGIR configuration parameters","text":"Character (default = “Y”). indicate axis use Sadeh1994 algorithm, algortihms relied count-based Actigraphy Galland2012.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"longitudinal_axis","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"longitudinal_axis","title":"GGIR configuration parameters","text":"Integer (default = NULL). indicate axis longitudinal axis. provided, function estimate longitudinal axis axis highest 24 hour lagged autocorrelation. used sensor.location = “hip” HASPT.algo = “HorAngle”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"haspt-ignore-invalid","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"HASPT.ignore.invalid","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). indicate whether invalid time segments ignored heuristic guiders. FALSE (default), imputed angle activity metric invalid time segments used. TRUE, invalid time segments ignored (.e., contribute guider). NA, invalid time segments considered movement segments can contribute guider. HASPT.algo “NotWorn”, HASPT.ignore.invalid automatically set NA.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"loglocation","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"loglocation","title":"GGIR configuration parameters","text":"Character (default = NULL). Path csv file sleep log information. See package vignette format file.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"colid","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"colid","title":"GGIR configuration parameters","text":"Numeric (default = 1). Column number sleep log spreadsheet participant ID code stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"coln1","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"coln1","title":"GGIR configuration parameters","text":"Numeric (default = 2). Column number sleep log spreadsheet onset first night starts.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nnights","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"nnights","title":"GGIR configuration parameters","text":"Numeric (default = NULL). argument deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"relyonguider","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"relyonguider","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). Sustained inactivity bouts (sib) overlap guider labelled sleep. relyonguider = FALSE sib overlaps partially guider sib defines edge SPT window guider. relyonguider = TRUE sib overlaps partially guider guider defines edge SPT window sib. participants instructed wear accelerometer waking hours ignorenonware=FALSE set relyonguider=TRUE, scenarios set FALSE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"def-noc-sleep","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"def.noc.sleep","title":"GGIR configuration parameters","text":"Numeric (default = 1). time window sustained inactivity assumed represent sleep, e.g., def.noc.sleep = c(21, 9). used sleep log entry available. left blank def.noc.sleep = c() 12 hour window centred least active 5 hours 24 hour period used instead. , L5 hardcoded change changing argument winhr function g.part2. def.noc.sleep filled single integer, e.g., def.noc.sleep=c(1) window detected based built algorithms. See argument HASPT.algo HASPT specifying algorithms use.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sleeplogsep","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"sleeplogsep","title":"GGIR configuration parameters","text":"Character (default = NULL). argument deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sleepwindowtype","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"sleepwindowType","title":"GGIR configuration parameters","text":"Character (default = “SPT”). indicate type information sleeplog, “SPT” sleep period time. Set “TimeInBed” sleep log recorded time bed enable calculation sleep latency sleep efficiency.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"possible_nap_window","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"possible_nap_window","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Numeric vector length two range clock hours naps assumed take place, e.g., possible_nap_window = c(9, 18). nap classification applied possible_nap_window possible_nap_dur specified. documentation follow 2025 development work completed.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"possible_nap_dur","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"possible_nap_dur","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Numeric vector length two range duration (minutes) nap, e.g., possible_nap_dur = c(15, 240). nap classification applied possible_nap_window possible_nap_dur specified. documentation follow 2025 development work completed.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"possible_nap_gap","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"possible_nap_gap","title":"GGIR configuration parameters","text":"Numeric (default = 0). Time gap expressed seconds allowed sustained inactivity bouts form naps.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"possible_nap_edge_acc","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"possible_nap_edge_acc","title":"GGIR configuration parameters","text":"Numeric (default = Inf). Maximum acceleration SIB nap considered. default allow possible naps.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"nap_model","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"nap_model","title":"GGIR configuration parameters","text":"Character (default = NULL). specify classification model. Currently option “hip3yr”, corresponds model trained hip data 3-3.5 olds trained parent diary data. functionality currently superseded nap detection triggered possible_nap_window possible_nap_dur. Leave nap_model NULL using new functionality. documentation follow 2025 development work completed.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sleepefficiency-metric","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"sleepefficiency.metric","title":"GGIR configuration parameters","text":"Numeric (default = 1). 1 (default), sleep efficiency calculated detected sleep time SPT window divided log-derived time bed. 2, sleep efficiency calculated detected sleep time SPT window divided detected duration sleep period time plus sleep latency (sleep latency refers difference time bed sleep onset). sleepefficiency.metric considered parameter sleepwindowType = “TimeInBed”","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"hdcza_threshold","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"HDCZA_threshold","title":"GGIR configuration parameters","text":"Numeric (default = c()) HASPT.algo set “HDCZA” HDCZA_threshold NULL, (e.g., HDCZA_threshold = 0.2), value used threshold 6th step diagram Figure 1 van Hees et al. 2018 Scientific Report (doi: 10.1038/s41598-018-31266-z). However, supported research yet intended facilitate methodological research, advise sticking default line publication. , HDCZA_threshold set numeric vector length 2, e.g. c(10, 15), used percentile multiplier mentioned 6th step.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sib_must_fully_overlap_with_timeinbed","dir":"Articles","previous_headings":"Arguments/parameters description > Sleep Parameters","what":"sib_must_fully_overlap_with_TimeInBed","title":"GGIR configuration parameters","text":"Boolean (default = c(TRUE, TRUE)). indicate whether sib must fully overlap TimeInBed considered sleep start end time bed, respectively. considered parameter sleepwindowType = “TimeInBed”. Note negative sleep latency, , reported night summary report (part4_nightsummary_sleep csv files) negative sleep latency corresponding sleep efficiency values calculating person summary aggregate stored person level report (part4_summary_sleep csv files).","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"mvpathreshold","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"mvpathreshold","title":"GGIR configuration parameters","text":"Numeric (default = 100). Acceleration threshold MVPA estimation GGIR g.part2. can single number vector numbers, e.g., mvpathreshold = c(100, 120). latter case code estimate MVPA separately threshold. variable left blank, e.g., mvpathreshold = c(), MVPA estimated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutcriter","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutcriter","title":"GGIR configuration parameters","text":"Numeric (default = 0.8). number 0 1, defines fraction bout needs mvpathreshold, used GGIR g.part2.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"mvpadur","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"mvpadur","title":"GGIR configuration parameters","text":"Numeric (default = 10). bout duration(s) MVPA calculated. used GGIR g.part2.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutcriter-in","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutcriter.in","title":"GGIR configuration parameters","text":"Numeric (default = 0.9). number 0 1, defines fraction bout needs threshold.lig.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutcriter-lig","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutcriter.lig","title":"GGIR configuration parameters","text":"Numeric (default = 0.8). number 0 1, defines fraction bout needs threshold.lig threshold.mod.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutcriter-mvpa","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutcriter.mvpa","title":"GGIR configuration parameters","text":"Numeric (default = 0.8). number 0 1, defines fraction bout needs threshold.mod.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"threshold-lig","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"threshold.lig","title":"GGIR configuration parameters","text":"Numeric (default = 40). g.part5: Threshold light physical activity separate inactivity light. Value can one number vector multiple numbers, e.g., threshold.lig =c(30,40). multiple numbers entered analysis repeated combination threshold values. Threshold applied first metric milestone data, specified .enmo = TRUE applied ENMO.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"threshold-mod","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"threshold.mod","title":"GGIR configuration parameters","text":"Numeric (default = 100). g.part5: Threshold moderate physical activity separate light moderate. Value can one number vector multiple numbers, e.g., threshold.mod = c(100, 120). multiple numbers entered analysis repeated combination threshold values. Threshold applied first metric milestone data, specified .enmo = TRUE applied ENMO.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"threshold-vig","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"threshold.vig","title":"GGIR configuration parameters","text":"Numeric (default = 400). g.part5: Threshold vigorous physical activity separate moderate vigorous. Value can one number vector multiple numbers, e.g., threshold.vig =c(400,500). multiple numbers entered analysis repeated combination threshold values. Threshold applied first metric milestone data, specified .enmo = TRUE applied ENMO.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutdur-mvpa","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutdur.mvpa","title":"GGIR configuration parameters","text":"Numeric (default = c(1, 5, 10)). Duration(s) MVPA bouts minutes extracted. start identification longest shortest duration. default setting, start 10 minute bouts, followed 5 minute bouts rest data, followed 1 minute bouts rest data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutdur-in","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutdur.in","title":"GGIR configuration parameters","text":"Numeric (default = c(10, 20, 30)). Duration(s) inactivity bouts minutes extracted. Inactivity bouts detected segments data labelled sleep MVPA bouts. start identification longest shortest duration. default setting, start identification 30 minute bouts, followed 20 minute bouts rest data, followed 10 minute bouts rest data. Note use term inactivity instead sedentary behaviour lowest intensity level behaviour. reason GGIR attempt classifying activity type sitting moment, feel using term sedentary behaviour fail communicate .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"boutdur-lig","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"boutdur.lig","title":"GGIR configuration parameters","text":"Numeric (default = c(1, 5, 10)). Duration(s) light activity bouts minutes extracted. Light activity bouts detected segments data labelled sleep, MVPA, inactivity bouts. start identification longest shortest duration. default setting, start identification 10 minute bouts, followed 5 minute bouts rest data, followed 1 minute bouts rest data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"frag-metrics","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"frag.metrics","title":"GGIR configuration parameters","text":"Character (default = NULL). Fragmentation metric extract. Can “mean”, “TP”, “Gini”, “power”, “CoV”, “NFragPM”, metrics “”. See package vignette description fragmentation metrics.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part6_threshold_combi","dir":"Articles","previous_headings":"Arguments/parameters description > Physical activity Parameters","what":"part6_threshold_combi","title":"GGIR configuration parameters","text":"Character (default = NULL) indicate threshold combination derived part 5 used part 6. example, “40_100_120”. left default value GGIR use first threshold value parameters threshold.lig, threshold.mod, threshold.vig.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"qwindow","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"qwindow","title":"GGIR configuration parameters","text":"Numeric character (default = c(0, 24)). specify windows variables calculated, e.g., acceleration distribution, number valid hours, LXMX analysis, MVPA. numeric, qwindow length two, e.g., qwindow = c(0, 24), variables calculated full 24 hours day. qwindow = c(8, 24) variables calculated window 0-8, 8-24 0-24. days recording segmented based values. want use day specific segmentation day can set qwindow full path activity diary file (character). Expected format activity diary : First column headers followed one row per recording, first column recording ID, needs match ID GGIR extracts accelerometer file. Followed date column format “23-04-2017”, date format specified parameter qwindow_dateformat (). Use character combination date, Date DATE column name. followed one multiple columns start times activity types day format hours:minutes:seconds. header column used label activity type. Insert new date column continuing activity types next day. Leave missing values empty. activity log used individuals appear activity log still processed value qwindow = c(0, 24). Dates activity log data can skipped, need column date followed column next date. times activity diary multiple short window size (epoch length), next epoch considered (e.g., epoch 5 seconds, 8:00:02 redefined 8:00:05 activity log). using qwindow functionality combination GGIR part 5 make sure check parameters segmentWEARcrit.part5 segmentDAYSPTcrit.part5 specified research needs. using activity diary aware column name including words “impute” “uncertain” ignored. means can, convenience, add columns log timestamps manually imputed considered uncertain.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"qlevels","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"qlevels","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Vector percentiles value needs extracted. need expressed fraction 1, e.g., c(0.1, 0.5, 0.75). limit number percentiles. left empty percentiles extracted. Distribution derived short epoch metric data. Parameter qlevels can example used MX-metrics (e.g. Rowlands et al) discussed ://cran.r-project.org/package=GGIR/vignettes/GGIR.htmlmain package vignette","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"qwindow_dateformat","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"qwindow_dateformat","title":"GGIR configuration parameters","text":"Character (default = “%d-%m-%Y”). specify date format used activity log used [base]strptime.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ilevels","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"ilevels","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Levels acceleration value frequency distribution m, e.g., ilevels = c(0,100,200). limit number levels. left empty intensity levels extracted. Distribution derived short epoch metric data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ivis_windowsize_minutes","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"IVIS_windowsize_minutes","title":"GGIR configuration parameters","text":"argument deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ivis_epochsize_seconds","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"IVIS_epochsize_seconds","title":"GGIR configuration parameters","text":"Numeric (default = NULL). parameter deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ivis-activity-metric","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"IVIS.activity.metric","title":"GGIR configuration parameters","text":"argument deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"ivis_acc_threshold","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"IVIS_acc_threshold","title":"GGIR configuration parameters","text":"argument deprecated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"qm5l5","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"qM5L5","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Percentiles (quantiles) calculated L5 M5 window.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"mx-ig-min-dur","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"MX.ig.min.dur","title":"GGIR configuration parameters","text":"Numeric (default = 10). Minimum MX duration needed order intensity gradient calculated.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"m5l5res","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"M5L5res","title":"GGIR configuration parameters","text":"Numeric (default = 10). Resolution L5 M5 analysis minutes.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"winhr","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"winhr","title":"GGIR configuration parameters","text":"Numeric (default = 5). Vector window size(s) (unit: hours) LX MX analysis, look least active consecutive number X hours.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"iglevels","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"iglevels","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Levels acceleration value frequency distribution mused intensity gradient calculation (according method Rowlands 2018). default parameter empty intensity gradient calculation done. user can either provide single value () make intensity gradient use bins iglevels = c(seq(0,4000,=25), 8000) user specify distribution. constriction number levels.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"luxthresholds","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"LUXthresholds","title":"GGIR configuration parameters","text":"Numeric (default = c(0, 100, 500, 1000, 3000, 5000, 10000)). Vector numeric sequence corresponding thresholds used calculate time spent LUX ranges.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"lux_cal_constant","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"LUX_cal_constant","title":"GGIR configuration parameters","text":"Numeric (default = NULL). LUX_cal_constant LUX_cal_exponent provided LUX values converted based formula y = constant * exp(x * exponent)","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"lux_cal_exponent","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"LUX_cal_exponent","title":"GGIR configuration parameters","text":"Numeric (default = NULL). LUX_cal_constant LUX_cal_exponent provided LUX LUX values converted based formula y = constant * exp(x * exponent)","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"lux_day_segments","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"LUX_day_segments","title":"GGIR configuration parameters","text":"Numeric (default = NULL). Vector hours day segmented LUX analysis.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"l5m5window","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"L5M5window","title":"GGIR configuration parameters","text":"deprecated version 1.5-24. parameter used define start end time, 24 hour clock hours, L5M5 needs calculated. Now done parameter qwindow.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"cosinor","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"cosinor","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). Whether apply cosinor analysis ActCR package part 2. part 6 cosinor analysis applied default turned .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part6cr","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"part6CR","title":"GGIR configuration parameters","text":"Boolean (default = FALSE) indicate whether circadian rhythm analysis run part 6, includes: cosinor analysis, extended cosinor analysis, , IV, phi. Optionally can expanded detrended fluctutation analysis controlled parameter part6DFA.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part6hca","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"part6HCA","title":"GGIR configuration parameters","text":"Boolean (default = FALSE) indicate whether Household Co Analysis run part 6.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part6window","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"part6Window","title":"GGIR configuration parameters","text":"Character vector length two (default = c(“start”, “end”)) indicate start end time series used circadian rhythm analysis part 6. words, parameters used Household co-analysis. Alternative values : “Wx”, “Ox”, “Hx”, “x” number indicat xth wakeup, onset hour recording. Negative values “x” also possible count relative end recording. example, c(“W1”, “W-1”) goes first till last wakeup, c(“H5”, “H-5”) ignores first last 5 hours, c(“O2”, “W10”) goes second onset till 10th wakeup time.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"part6dfa","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"part6DFA","title":"GGIR configuration parameters","text":"Boolean (default = FALSE) indicate whether perform Detrended Fluctuation Analysis. Turned default can time consuming.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"clevels","dir":"Articles","previous_headings":"Arguments/parameters description > 24/7 Parameters","what":"clevels","title":"GGIR configuration parameters","text":"fully operational yet, actived 2025. Numeric vector (default = c(30, 150)) length 2 indicate cadence ranges used summarising step counts, available. set NULL, step counts summarised part 5 output.","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"epochvalues2csv","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"epochvalues2csv","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). g.part2: TRUE epoch values exported csv file. , non-wear time imputed possible.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"save_ms5rawlevels","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"save_ms5rawlevels","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). g.part5: Whether save time series classification (levels) csv RData files (defined save_ms5raw_format). Note time stamps stored column timenum UTC format (.e., seconds 1970-01-01). convert timenum time stamp format, need specify desired time zone, e.g., .POSIXct(mdat$timenum, tz = “Europe/London”).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"save_ms5raw_format","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"save_ms5raw_format","title":"GGIR configuration parameters","text":"Character (default = “csv”). g.part5: specify data stored: either “csv” “RData”. used save_ms5rawlevels = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"save_ms5raw_without_invalid","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"save_ms5raw_without_invalid","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). g.part5: indicate whether remove invalid days time series output files. used save_ms5rawlevels = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"storefolderstructure","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"storefolderstructure","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). Store folder structure accelerometer data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"timewindow","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"timewindow","title":"GGIR configuration parameters","text":"Character (default = c(“MM”, “WW”)). g.part5: Timewindow summary statistics derived. Value can “MM” (midnight midnight), “WW” (waking time waking time), “OO” (sleep onset sleep onset), combination .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"viewingwindow","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"viewingwindow","title":"GGIR configuration parameters","text":"Numeric (default = 1). Centre day displayed around noon (viewingwindow = 1) around midnight (viewingwindow = 2) “Report_” visual report generated visualreport = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dofirstpage","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"dofirstpage","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). indicate whether first page histograms summarizing whole measurement added file summary reports named “Report_” generated visualreport = TRUE.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"visualreport","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"visualreport","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE, store two visualreports outputfolder ‘results/file summary reports’ names starting “Report_…” “Time_report…”. report “Report_…” GGIR years based combined output GGIR part 2 4. initially quick development attempt something show study participants. report designed data quality checking purposes makes attempt exactly visualise classifications made part 5. Given number inaccuracies report eventually deprecated GGIR. turn old report use old_visualreport = FALSE. “Time_report”, new report GGIR 3.1-8 specifically aimed supporting data quality checks shows time series data generated used GGIR part 5. .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"week_weekend_aggregate-part5","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"week_weekend_aggregate.part5","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). g.part5: indicate whether week weekend-days aggregates stored. turned default generates large number extra columns output report.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-part3-pdf","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"do.part3.pdf","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). g.part3: Whether generate pdf g.part3.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"outliers-only","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"outliers.only","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). g.part4: used .visual = TRUE. FALSE, available nights included visual representation data sleeplog. TRUE, nights difference onset waking time larger variable parameter criterror included.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"criterror","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"criterror","title":"GGIR configuration parameters","text":"Numeric (default = 3). g.part4: used .visual = TRUE outliers.= TRUE. criterror specifies number minimum number hours difference sleep log accelerometer estimate night included visualisation.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-visual","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"do.visual","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). g.part4: TRUE, function generate pdf visual representation overlap sleeplog entries accelerometer detections. can used visually verify sleeplog entries come obvious mistakes.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-sibreport","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"do.sibreport","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). g.part4: indicate whether generate report sustained inactivity bouts (SIB). set TRUE advanced sleep diary available part 4 part 5 use generate summary statistics overlap self-reported nonwear napping SIB. , SIB can filter based parameter possible_nap_edge_acc first value possible_nap_dur","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"do-part2-pdf","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"do.part2.pdf","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). g.part2: Whether generate pdf g.part2.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sep_reports","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"sep_reports","title":"GGIR configuration parameters","text":"Character (default = “,”). Value used sep parameter [data.table]fwrite writing csv reports.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"sep_config","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"sep_config","title":"GGIR configuration parameters","text":"Character (default = “,”). Value used sep parameter [data.table]fwrite writing csv config file.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dec_reports","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"dec_reports","title":"GGIR configuration parameters","text":"Character (default = “.”). Value used dec parameter [data.table]fwrite writing csv reports.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"dec_config","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"dec_config","title":"GGIR configuration parameters","text":"Character (default = “.”). Value used dec parameter [data.table]fwrite writing csv config file.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"visualreport_without_invalid","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"visualreport_without_invalid","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE, reports generated visualreport = TRUE named “Report_” show windows sufficiently valid data according includedaycrit viewingwindow = 1 includenightcrit viewingwindow = 2","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"old_visualreport","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"old_visualreport","title":"GGIR configuration parameters","text":"Boolean (default = TRUE). TRUE, generate old visual report addition new visualreport. old visualreport eventually deprecated","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"visualreport_hrsperrow","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"visualreport_hrsPerRow","title":"GGIR configuration parameters","text":"Numeric (default = 36). Width plots new visualreport (named “Time_report…”) expressed hours. Expected range 24-48. 24 extra time overlaps beginning next plot.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"visualreport_focus","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"visualreport_focus","title":"GGIR configuration parameters","text":"Character (default = “day”) Whether new visual report (names start “Time_report…”) focuss day night. set ot “night” focus night.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"visualreport_validcrit","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"visualreport_validcrit","title":"GGIR configuration parameters","text":"Numeric (default = 0). Value 0 1 representing fraction data plot expected valid. criteria met row skipped. used new visual report (names start “Time_report…”).","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"require_complete_lastnight_part5","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"require_complete_lastnight_part5","title":"GGIR configuration parameters","text":"Boolean (default = FALSE). set TRUE: last WW window excluded recording ends midnight 3pm, starts date one day recording end date; last OO MM window excluded recording ends midnight 9am, starts date one day recording end date. avoid risk recording end biases sleep estimates last night.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/GGIRParameters.html","id":"method_research_vars","dir":"Articles","previous_headings":"Arguments/parameters description > Output Parameters","what":"method_research_vars","title":"GGIR configuration parameters","text":"Character (default = NULL). Vector names methodological variable categories store csv output files. Currently “nap” available affects part5 output. variables intended methodological research default turned .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"accelerometer-file-names","dir":"Articles","previous_headings":"","what":"Accelerometer file names","title":"Household Co-Analysis","text":"household co-analysis requires households family member can recognised. assume following logic file names: StudyNumber-HouseholdID-MemberID_anyotherinformation.bin example .bin file, applies .cwa .csv files. example files: 001-002-001_12345-2023.bin 001-002-002_23456-2023.bin 001-002-M_23456-2023.bin recognised household ID 002 member IDs 001, 002, M.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"configuring-ggir","dir":"Articles","previous_headings":"","what":"Configuring GGIR","title":"Household Co-Analysis","text":"following input arguments needed run Household co-analysis: Household co-analysis integrated GGIR part 6, need run GGIR part 1 6, mode = 1:6. windowsizes = c(5, 60, 3600). Setting second value 60 ensures light temperature, available, aggregated per minute. part5_agg2_60seconds = TRUE. ensures GGIR part 5 stores time series 1 minute resolution. part6HCA = TRUE tell GGIR perform Household Co-Analysis. part6_threshold_combi = \"30_100_400\" 30, 100 400 need correspond accelerometer threshold combination used part 5 want use part 6. GGIR part 5 facilitates multiple threshold combinations part 6 need select one. GGIR arguments can set according needs. example:","code":"datadir = \"C:/projects/studyZ/binfiles\" outputdir = \"C:/projects/studyZ\" library(GGIR) GGIR(mode = 1:5,       datadir = datadir,      idloc = 2,       outputdir = outputdir,      do.report = c(2, 4, 5),      do.parallel = TRUE,      overwrite = FALSE,      printsummary = TRUE,      desiredtz = \"America/Halifax\",      windowsizes = c(5, 60, 3600),      threshold.lig = 30,      threshold.mod = 100,      threshold.vig = 400,      part6_threshold_combi = \"30_100_400\",      boutcriter.in = 1, boutcriter.lig = 1,  boutcriter.mvpa = 0.9,      boutdur.in = 30,      boutdur.lig = 10,      boutdur.mvpa = 5,      part6HCA = TRUE,      save_ms5rawlevels = TRUE, # Not necessary because GGIR will set this to TRUE when part6HCA is TRUE.      save_ms5raw_without_invalid = FALSE, # <= Needed for household co-analysis      part5_agg2_60seconds = TRUE,      visualreport = FALSE)"},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"household-co-analysis","dir":"Articles","previous_headings":"","what":"Household co-analysis","title":"Household Co-Analysis","text":"GGIR part 1, 2, 3, 4, 5 recording processed individually without considering relations recordings. Next, part 6 subdivided alligning time series produced part 1 5 per household, pairwise analysis data.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"align-individuals","dir":"Articles","previous_headings":"Household co-analysis","what":"Align individuals","title":"Household Co-Analysis","text":"Household members one member ignored. Next, per household per household member code loads merges time series produced GGIR part 1 part 5. Days, defined waking-waking-, removed less 20% valid data waking hours, sleep period time window, day whole. Next, time series completed indicates valid household member pairs time points. Finally, store: aligned time series per household separate csv files GGIR output directory (.../results/part6HouseholdCoAnalysis/alignedTimeseries). columns file documented . pdf file names timeseriesPlot.pdf plots aligned time series facilitate visual inspection data completeness per household.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"pairwise-analysis","dir":"Articles","previous_headings":"Household co-analysis","what":"Pairwise analysis","title":"Household Co-Analysis","text":"Per household identify possible member pairs loop pairs. Per member pair code identify wake-time pairs. , wake-times occur within last 15 minutes time series ignored need least recording time quantify behaviour waking . Per wake-pair assess woke first second, time difference, corresponding calendar dates waking . Next, code quantifies: Activity person first woke minute second person woke Activity second person wake woke LUX person first woke tminute second person woke LUX second person wake woke . Describe matching waking hours pairs: Correlation continuous acceleration values (ENMO metric) Derive binary class inactivity/active (ENMO metric, threshold < 50) ICC based binary scores (irr package, model=twoway, type=agreement, unit=single) Cohen’s Kappa (psych package) Similarity binary scores (calculation line Sleep Regularity Index) Describe noon-noon window stronger focus sleep: Describe binary class sleep/wakefulness (note: attempt classify daytime naps) ICC based binary scores (irr package, model=twoway, type=agreement, unit=single) Cohen’s Kappa (psych package) Similarity binary scores (calculation line Sleep Regularity Index) Describe wakefulness dynamics SPT prior wakeup: Look indices spt prior wakeup individuals SPT. Assess fraction data valid Identify wake times night wake-time: Assess whether persons woke time, person wake within 5 minutes, person wake within 5 minutes. Store output csv one row per unique household pair, columns clarify household members pair household .","code":""},{"path":[]},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"alignedtimesieres","dir":"Articles","previous_headings":"Output variables","what":"alignedTimesieres","title":"Household Co-Analysis","text":"GGIR output folder .../results/part6HouseholdCoAnalysis/alignedTimeseries find csv files time series per household. data dictionary shows column names get household two members: X Y. columns copied time series output files, documented . Therefore, column documented .","code":""},{"path":"https://wadpac.github.io/GGIR/articles/HouseHoldCoanalysis.html","id":"pairwise-summary-report","dir":"Articles","previous_headings":"Output variables","what":"Pairwise summary report","title":"Household Co-Analysis","text":"stored inside pairwise_summary_all_housholds.csv","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Reading csv files with raw data in GGIR","text":"GGIR can automatically read data -frequently used accelerometer brands field: GENEActiv .bin Axivity AX3 AX6 .wav, .csv .cwa ActiGraph .csv .gt3x (.gt3x newer format generated firmware versions 2.5.0). Note Actigraph users: want work .csv exports via ActiLife note option export data timestamps. Please causes memory issues GGIR. cope absence timestamps GGIR re-caculate timestamps sample frequency start time date presented file header Movisens data stored folders Genea (accelerometer commercially available anymore, used studies 2007 2012) .bin .csv However, accelerometer manufacturers proliferating increasing number brands market. reason, GGIR includes read.myacc.csv function, able read accelerometer raw triaxial data stored csv files, independently brand. vignette provides general introduction use GGIR read accelerometer raw data stored csv files. works: Internally GGIR loads csv files accelerometer data standardises output format make data compatible GGIR functions. Data format standardisation includes unit measurement, timestamp, file header format, column locations.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"the-read-myacc-csv-function","dir":"Articles","previous_headings":"","what":"The read.myacc.csv function","title":"Reading csv files with raw data in GGIR","text":"rest GGIR functions, read.myacc.csv intended used within function GGIR. arguments read.myacc.csv can easily recognized start “rmc”. GGIR checks whether argument rmc.firstrow.acc provided user; case, GGIR attempt read data function read.myacc.csv. words always need specify rmc.firstrow.acc use read.myacc.csv. , recommend always first test function argument settings first trying use function read.myacc.csv . works copy arguments GGIR call.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"input-arguments","dir":"Articles","previous_headings":"The read.myacc.csv function","what":"Input arguments","title":"Reading csv files with raw data in GGIR","text":"read.myacc.csv function tries read csv files wide variety formats, key arguments specify depend characteristics csv file process. Overall, argument relevant, left default setting (e.g., csv file contain temperature data, arguments related temperature settings left default values). present summary available input arguments. Please see parameters vignette elaborate description input arguments. , arguments also covered function documentation read.myacc.csv function.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"general-arguments","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"General arguments","title":"Reading csv files with raw data in GGIR","text":"rmc.file - Filename file read working directory, full path file otherwise. rmc.nrow - Number rows read, nrow argument nrows . whole file read default (.e., rmc.nrow = Inf). rmc.skip - Number rows skip, skip argument . rmc.dec - Decimal separator used numbers, dec argument data.table::. “.” (default) usually “,”. rmc.firstrow.acc - First row (number) acceleration data. rmc.unit.acc - Character unit acceleration values: “g”, “mg”, “bit”. desiredtz - Timezone device worn. confgitz - Timezone device configured. rmc.sf - Sample rate Hertz, stored file header used instead.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"header","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments for files containing a header","title":"Reading csv files with raw data in GGIR","text":"rmc.firstrow.header - First row (number) file header. Leave blank (default) file file header. confused one row column header, file header typically takes several rows one two columns. header two columns, first column assumed header item names second column assumed header item values. header one column assumed value contains name value item. rmc.header.length - file header, specify header length (numeric). rmc.headername.sf - file header, row name (character) sample frequency can found, e.g. “sample_rate”. rmc.headername.sn - file header, row name (character) serial number can found, e.g. “serial_number”. rmc.headername.recordingid - file header, row name (character) recording ID can found, e.g. “ID”. rmc.header.structure - Character used split header name header value, e.g. “:” header value look like “ID: 123” ” ” ehader value like “ID 123”.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"arguments-for-files-including-timestamps","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments for files including timestamps","title":"Reading csv files with raw data in GGIR","text":"rmc.col.time - Scalar column (number) timestamps stored. Leave default setting timestamps stored. rmc.unit.time - Character unit timestamps: “POSIX”, “UNIXsec” (seconds since origin, see argument rmc.origin), “UNIXmsec” (milliseconds since origin, see argument rmc.origin), “character”, “ActivPAL” (exotic timestamp format used ActivPAL activity monitor). rmc.format.time - Character string giving date-time format used . used rmc.unit.time: character POSIX. rmc.origin - Origin time unit time UNIXsec, e.g. 1970-1-1.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"arguments-for-files-with-acceleration-stored-in-bits","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments for files with acceleration stored in bits","title":"Reading csv files with raw data in GGIR","text":"rmc.bitrate - Numeric: unit acceleration bit provide bit rate, e.g. 12 bit. rmc.dynamic_range - Numeric, unit acceleration bit provide dynamic range deviation g zero, e.g. +/-6g mean argument needs 6. give argument character value code search file header elements name equal character value use corresponding numeric value next dynamic range. rmc.unsignedbit - Boolean, unsignedbit = TRUE means bits positive numbers. unsignedbit = FALSE bits positive negative.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"arguments-for-files-including-temperature","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments for files including temperature","title":"Reading csv files with raw data in GGIR","text":"rmc.col.temp - Scalar column (number) temperature stored. Leave default setting temperature avaible. temperature used . rmc.unit.temp - Character unit temperature values: (K)elvin, (C)elsius, (F)ahrenheit.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"arguments-for-files-including-wear-time-information","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments for files including wear time information","title":"Reading csv files with raw data in GGIR","text":"rmc.col.wear - external wear detection outcome stored part data can used GGIR. argument specifies column wear detection (Boolean) stored.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"arguments-to-find-time-gaps-and-resampling","dir":"Articles","previous_headings":"The read.myacc.csv function > Input arguments","what":"Arguments to find time gaps and resampling","title":"Reading csv files with raw data in GGIR","text":"rmc.check4timegaps - Boolean indicate whether gaps time imputed zeros. rmc.doresample - Boolean indicate whether resample data based available timestamps extracted sample rate file header interpolationType - Integer indicate type interpolation used resampling time series (mainly relevant Axivity sensors), 1=linear, 2=nearest neighbour.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"usage-of-the-read-myacc-csv-function","dir":"Articles","previous_headings":"","what":"Usage of the read.myacc.csv function","title":"Reading csv files with raw data in GGIR","text":"section shows example real case read.myacc.csv function can used. csv file read following structure: file contains timestamps column 1 (formatted “%d/%m/%Y %H:%M:%OS”), acceleration signals (g’s) x, y, z axis columns 2, 3, 4, respectively, temperature information Celsius column 5. Also, file file header. can use GGIR, first test read file using read.myacc.csv function directly. object data list data.frame name data header. time column data.frame represents timestamps expressed seconds since 1-1-1970.","code":"library(GGIR) data = read.myacc.csv(rmc.file = \"C:/mystudy/mydata/datafile.csv\",                rmc.nrow = Inf,                rmc.skip = 0,                rmc.dec = \".\",                rmc.firstrow.acc = 2,                rmc.col.acc = 2:4,                rmc.col.temp = 5,                rmc.col.time=1,                rmc.unit.acc = \"g\",                rmc.unit.temp = \"C\",                rmc.unit.time = \"POSIX\",                rmc.format.time = \"%d/%m/%Y %H:%M:%OS\",                desiredtz = \"Europe/London\",                rmc.sf = 100)"},{"path":"https://wadpac.github.io/GGIR/articles/readmyacccsv.html","id":"example-using-the-shell-function","dir":"Articles","previous_headings":"Usage of the read.myacc.csv function","what":"Example using the shell function","title":"Reading csv files with raw data in GGIR","text":"rmc.firstrow.acc argument defined within GGIR function, data read read.myacc.csv. GGIR needs user specify row starts accelerometer data within csv, argument must always explicitly specified user. Thus, call GGIR including rmc arguments look follows (note rmc.file, rmc.nrow, rmc.skip arguments used GGIR arguments already defined datadir, strategy, header arguments, respectively).","code":"library(GGIR) GGIR(              mode=c(1,2,3,4,5),              datadir=\"C:/mystudy/mydata/datafile.csv\",              outputdir=\"D:/myresults\",              do.report=c(2,4,5),              #=====================              # read.myacc.csv arguments              #=====================              rmc.nrow = Inf,               rmc.dec = \".\",              rmc.firstrow.acc = 2,               rmc.col.acc = 2:4,               rmc.col.temp = 5,               rmc.col.time=1,              rmc.unit.acc = \"g\",               rmc.unit.temp = \"C\",               rmc.unit.time = \"POSIX\",              rmc.format.time = \"%d/%m/%Y %H:%M:%OS\",              desiredtz = \"Europe/London\",              rmc.sf = 100,              rmc.noise = 0.013 )"},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Day segment analyses with GGIR","text":"specific person active morning afternoon? children active work hours leisure time? much inactivity occurs work office workers? Questions like can answered GGIR first specify parameters. main input argument specified qwindow, can used following ways: specify clock hours day based segmented day analyses take place. specify activity log (diary) used guide segmentation per individual per day recording. following sections discuss scenarios.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"clock-hour-based-segmentation","dir":"Articles","previous_headings":"","what":"Clock hour-based segmentation","title":"Day segment analyses with GGIR","text":"perform clock hour segmentation, need provide function GGIR argument qwindow assign numeric vector hours segmentation. start end day, explicitly provided vector GGIR add . Please find example values qwindow. number values used qwindow unlimited, aware analyses MX-metrics impossible small windows produce empty results. Day Saving Time (DST) taken account identifying start day, identifying day segments. words, 23 hour days processed 24 hours first midnight. ensure segment length identical across days week, needed ease comparison outcome variables across days.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"segmentation-guided-by-activity-log","dir":"Articles","previous_headings":"","what":"Segmentation guided by activity log","title":"Day segment analyses with GGIR","text":"perform activity-log based segmentation, need provide function GGIR argument qwindow assign full path activity log .csv format, e.g. qwindow=\"C:/myactivitylog.csv\". activity log expected .csv-file following structure: Rows: First row represents column headers row represents one accelerometer recording. ID-column: first column expected hold recording ID, needs match ID GGIR extracts accelerometer file. unsure format ID values, apply GGIR sample accelerometer files using default argument settings. ID column generated part 2 .csv reports show participant ID extracted GGIR. ID extracted, see documentation argument idloc, helps specify location participant file name file header. ID extraction fails accelerometer files matched corresponding activity log entries. Date-column: ID column followed date column first log day. ensure GGIR recognises date correctly, specify argument qwindow_dateformat. default format \"\\%d-\\%m-\\%Y\" 23-2-2021 indicate 23rd February 2021. date formatted 2-23-21 specify\"\\%m-\\%d-\\%y\". column name date column needs include character combination “date” “Date” “DATE”. Use date format consistently throughout activity diary. Start-times: date column followed one multiple columns start times activity types day format hours:minutes:seconds. provide dates cells. header column used label activity type. Insert new date column continuing activity types next day. Leave missing values empty. Missing values: values missing preceding succeeding time point used edges segment. example means define segment -C ID 1234, ID 6789 defined segments -B B-C, segment -C derived . Notes: - activity log collected individuals processed qwindow value c(0,24). - Dates activity log data can skipped, need column date followed column next date. - end time one activity assumed start time next activity. currently facilitate overlapping time segments.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"implementation-in-ggir","dir":"Articles","previous_headings":"","what":"Implementation in GGIR","title":"Day segment analyses with GGIR","text":"approaches implemented GGIR part 2 part 5. Therefore specific output variables calculated part 2 5 available per day, per person, per segment day based argument qwindow Note qwindow used part 5 timewindow includes \"MM\" (see specific documentation timewindow} parameters vignette) moment, specifying argument qwindow triggers calculation qwindow segments part 2 part 5, may result longer time finish analysis. interested segments either part 2 part 5, option might run GGIR parts 1:2 argument qwindow interest, set qwindow = NULL run GGIR parts 3:5 (vice versa: qwindow = NULL GGIR parts 1:2, desired qwindow segments running GGIR parts 3:5). information output variables calculated part pipeline, see main GGIR vignette.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"examples","dir":"Articles","previous_headings":"","what":"Examples","title":"Day segment analyses with GGIR","text":"information use GGIR function call see explanation main GGIR vignette.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"clock-hour-based-segmentation-1","dir":"Articles","previous_headings":"Examples","what":"Clock-hour based segmentation:","title":"Day segment analyses with GGIR","text":"","code":"library(\"GGIR\") GGIR(datadir = \"/your/data/directory\",              outputdir = \"/your/output/directory\",              mode = 1:5, # <= run GGIR parts 1 to 5              do.report = c(2, 5), # <= generate csv-report for GGIR part 2 and part 5              qwindow = c(0, 6, 12, 18, 24),              timewindow = \"MM\")"},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"activity-log-based-segmentation","dir":"Articles","previous_headings":"Examples","what":"Activity log based segmentation:","title":"Day segment analyses with GGIR","text":"running code GGIR creates output folder output directory specified argument outputdir. subfolder results find csv files reports generated part 2 part 5 pipeline: Part 2 part2_summary.csv recording level summary, 1 row per recording recording level aggregates day segments columns. part2_daysummary.csv day level summary, 1 row per day day segment specific outcomes columns. part2_daysummary_longformat.csv day level summary long format, row represents one segment one day one recording. part2_summary.csv part2_daysummary.csv column names tell day segment correspond . example, column names ending _18-24hr refer time segment 18:00-24:00. part2_daysummary_longformat.csv time segment clarified via columns qwindow_timestamps qwindow_name. Part 5 part 5, information segments days exported different csv reports person-level day-level summaries. files include word “Segments” filename provided long format aggregated per day per person: part5_daysummary_Segments[...].csv day level summary long format, row represents one segment one day one recording. part5_personsummary_Segments[...].csv recording level summary long format, row represents average outcome one specific segments across days segment available per participant.","code":"library(\"GGIR\") GGIR(datadir = \"/your/data/directory\",              outputdir = \"/your/output/directory\",              mode = 1:5, # <= run GGIR parts 1 to 5              do.report = c(2, 5), # <= generate csv-report for GGIR part 2 and part 5              qwindow = \"/path/to/your/activity/log.csv\",              timewindow = \"MM\")"},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"cleaning-parameters-for-day-segments-in-part-5","dir":"Articles","previous_headings":"","what":"Cleaning parameters for day segments (in part 5):","title":"Day segment analyses with GGIR","text":"part 5, analyses performed per segment day come possibility clean reports based information available segments. users can select include segments given amount wear time segment (segmentWEARcrit.part5), well given awake time sleep period time segment (segmentDAYSPTcrit.part5). arguments likely critical meaningful analysis data. presence sleep segment physical activity bias physical inactivity estimates presence physical activity segment sleep bias sleep estimates. become impossible quantify whether lack one presence behaviour drives association example health outcome.","code":""},{"path":"https://wadpac.github.io/GGIR/articles/TutorialDaySegmentAnalyses.html","id":"analyses-performed-per-day-segment","dir":"Articles","previous_headings":"","what":"Analyses performed per day segment","title":"Day segment analyses with GGIR","text":"analyses GGIR per segment day, include: Acceleration distribution (part 2): Derived argument ilevels specified. find variable names [0,36)_ENMO_mg means time spent 0 36 mg defined acceleration metric ENMO. Number valid hours data (part 2): recognise N_valid_hours_in_window tells number valid hours per time window, N_valid_hours number valid hours per day. Non-wear time percentage (part 5): nonwear_day_perc, nonwear_spt_perc, nonwear_day_spt_perc tell proportion segment classified non-wear awake time (day) sleep period time (spt). LXMX analysis (part 2 part5): LXMX analysis, stands least active X hours segment. recognise variable names like L5hr_ENMO_mg start time least active five hours defined metric ENMO, L5_ENMO_mg average acceleration hours. Intensity gradient analysis (part 2 part 5): find variables start ig_gradient_ See description GGIR part 2 output main GGIR vignette details. Time spent Moderate Vigorous Physical Activity (MVPA) (part 2 part 5): find variables MVPA_E5S_T201_ENMO MVPA_E5S_B1M80%_T201_ENMO. See description GGIR part 2 output main GGIR vignette details. Time spent sleeping, inactivity physical activity intensities (part 5): find variables part 5 reports, bouted, unbouted, total time version variables. See description GGIR part 5 output main GGIR vignette details.","code":""},{"path":"https://wadpac.github.io/GGIR/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Vincent T van Hees. Author, maintainer. Jairo H Migueles. Author. Severine Sabia. Contributor. Matthew R Patterson. Contributor. Zhou Fang. Contributor. Joe Heywood. Contributor. Joan Capdevila Pujol. Contributor. Lena Kushleyeva. Contributor. Mathilde Chen. Contributor. Manasa Yerramalla. Contributor. Patrick Bos. Contributor. Taren Sanders. Contributor. Chenxuan Zhao. Contributor. Ian Meneghel Danilevicz. Contributor. Victor Barreto Mesquita. Contributor. Gaia Segantin. Contributor. Medical Research Council UK. Copyright holder, funder. Accelting. Copyright holder, funder. French National Research Agency. Copyright holder, funder.","code":""},{"path":"https://wadpac.github.io/GGIR/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"van Hees V, Migueles J, Fang Z, Zhao J, Heywood J, Mirkes E, Sabia S (2024). GGIR: Raw Accelerometer Data Analysis. doi:10.5281/zenodo.1051064, R package version 3.1-8, https://CRAN.R-project.org/package=GGIR. van Hees V, Fang Z, Langford J, Assah F, MohammadMirkes , da Silva , Trenell M, White T, Wareham N, Brage S (2014). “Autocalibration accelerometer data free-living physical activity assessment using local gravity temperature: evaluation four continents.” Journal Applied Physiology, 117(7), 738–744. https://doi.org/10.1152/japplphysiol.00421.2014. van Hees V, Sabia S, Anderson K, Denton S, Oliver J, Catt M, Abell J, Kivimaki M, Trenell M, Singh-Manoux (2015). “Novel, Open Access Method Assess Sleep Duration Using Wrist-Worn Accelerometer.” PLoS One, 10(11). doi:10.1371/journal.pone.0142533, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142533. van Hees V, Sabia S, Jones S, Wood , Anderson K, Kivimaki M, Frayling T, Pack , Bucan M, Trenell M, Mazzotti D, Gehrman P, Singh-Manoux , Weedon M (2018). “Estimating sleep parameters using accelerometer without sleep diary.” Scientific Reports, 8(1). doi:10.1038/s41598-018-31266-z, https://www.nature.com/articles/s41598-018-31266-z. Migueles J, Rowlands , Huber F, Sabia S, van Hees V (2019). “GGIR: Research Community-Driven Open Source R Package Generating Physical Activity Sleep Outcomes Multi-Day Raw Accelerometer Data.” Journal Measurement Physical Behavior, 2(3). doi:10.1123/jmpb.2018-0063, https://doi.org/10.1123/jmpb.2018-0063.","code":"@Manual{,   title = {{GGIR}: Raw Accelerometer Data Analysis},   author = {Vincent T {van Hees} and Jairo H Migueles and Zhou Fang and Jing Hua Zhao and Joe Heywood and Evgeny Mirkes and Severine Sabia},   year = {2024},   note = {R package version 3.1-8},   doi = {10.5281/zenodo.1051064},   url = {https://CRAN.R-project.org/package=GGIR}, } @Article{,   title = {Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents},   author = {Vincent T {van Hees} and Zhou Fang and Joss Langford and Felix Assah and A MohammadMirkes and Inacio C {da Silva} and Michael I Trenell and Tom White and Nicholas J Wareham and Soren Brage},   journal = {Journal of Applied Physiology},   volume = {117},   number = {7},   pages = {738--744},   year = {2014},   url = {https://doi.org/10.1152/japplphysiol.00421.2014}, } @Article{,   title = {A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer},   author = {Vincent T {van Hees} and Severine Sabia and Kirstie N Anderson and Sarah J Denton and James Oliver and Michael Catt and Jesica G Abell and Mika Kivimaki and Michael I Trenell and Archana Singh-Manoux},   doi = {10.1371/journal.pone.0142533},   journal = {PLoS One},   volume = {10},   number = {11},   year = {2015},   url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142533}, } @Article{,   title = {Estimating sleep parameters using an accelerometer without sleep diary},   author = {Vincent T {van Hees} and Severine Sabia and Samuel E Jones and Andrew R Wood and Kirstie N Anderson and Mika Kivimaki and Tim M Frayling and Allan I Pack and Maja Bucan and Michael I Trenell and Diego R Mazzotti and Philip R Gehrman and Archana Singh-Manoux and Michael N Weedon},   doi = {10.1038/s41598-018-31266-z},   journal = {Scientific Reports},   volume = {8},   number = {1},   year = {2018},   url = {https://www.nature.com/articles/s41598-018-31266-z}, } @Article{,   title = {GGIR: A Research Community-Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data},   author = {Jairo H Migueles and Alex V Rowlands and Florian Huber and Severine Sabia and Vincent T {van Hees}},   doi = {10.1123/jmpb.2018-0063},   journal = {Journal for the Measurement of Physical Behavior},   volume = {2},   number = {3},   year = {2019},   url = {https://doi.org/10.1123/jmpb.2018-0063}, }"},{"path":[]},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"interest fostering open welcoming environment, contributors maintainers pledge making participation project community harassment-free experience everyone, regardless age, body size, disability, ethnicity, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation.","code":""},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes creating positive environment include: Using welcoming inclusive language respectful differing viewpoints experiences Gracefully accepting constructive criticism Focusing best community Showing empathy towards community members Examples unacceptable behavior participants include: use sexualized language imagery unwelcome sexual attention advances Trolling, insulting/derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical electronic address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"our-responsibilities","dir":"","previous_headings":"","what":"Our Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Project maintainers responsible clarifying standards acceptable behavior expected take appropriate fair corrective action response instances unacceptable behavior. Project maintainers right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, ban temporarily permanently contributor behaviors deem inappropriate, threatening, offensive, harmful.","code":""},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within project spaces public spaces individual representing project community. Examples representing project community include using official project e-mail address, posting via official social media account, acting appointed representative online offline event. Representation project may defined clarified project maintainers.","code":""},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported contacting main project maintainer v.vanhees@accelting.com. complaints reviewed investigated result response deemed necessary appropriate circumstances. project team obligated maintain confidentiality regard reporter incident. details specific enforcement policies may posted separately.","code":""},{"path":"https://wadpac.github.io/GGIR/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 1.4, available https://www.contributor-covenant.org/version/1/4/code--conduct.html","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contributing guidelines","title":"Contributing guidelines","text":"welcome kind contribution software, simple comment question full fledged pull request. Please read follow Code Conduct. contribution can one following cases: question; think may found bug (including unexpected behavior); want make kind change code base (e.g. fix bug, add new feature, update documentation); want make new release code base. sections outline steps case.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"questions","dir":"","previous_headings":"","what":"Questions","title":"Contributing guidelines","text":"use search functionality see someone already experienced issue; search yield relevant results, start new conversation.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"bugs","dir":"","previous_headings":"","what":"Bugs","title":"Contributing guidelines","text":"use search functionality see someone already filed issue; issue search yield relevant results, make new issue, choose Bug report type. includes checklist make sure provide enough information rest community understand cause context problem.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"changes-or-additions","dir":"","previous_headings":"","what":"Changes or additions","title":"Contributing guidelines","text":"(important) announce plan rest community start working. announcement form (new) issue. Choose Feature request type, includes checklist things consider get discussion going; (important) wait kind consensus reached idea good idea; needed, fork repository Github profile create feature branch latest master commit. working feature branch, make sure stay date master branch pulling changes, possibly ‘upstream’ repository (follow instructions ); make sure existing tests still work running test suite RStudio; add tests (necessary); update expand documentation, see package documentation guidelines; make sure release notes inst/NEWS.Rd updated; add name contributors lists DESCRIPTION file; push feature branch (fork ) GGIR repository GitHub; create pull request, e.g. following instructions . pull request template includes checklist items. case feel like ’ve made valuable contribution, don’t know write run tests , generate documentation: don’t let discourage making pull request; can help ! Just go ahead submit pull request, keep mind might asked append additional commits pull request.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"coding-style","dir":"","previous_headings":"Changes or additions","what":"Coding style","title":"Contributing guidelines","text":"loosely follow tidyverse style guide, enforce every rule strictly. instance, prefer = instead <- default assignment operator. doubt style use, don’t hesitate get touch. general guidelines try adhere : Use standard R much possible, keep dependencies minimum. Keep loops minimum. Don’t make lines long. first time contributor, don’t worry coding style much. help get things shape.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"package-documentation","dir":"","previous_headings":"Changes or additions","what":"Package documentation","title":"Contributing guidelines","text":"currently three sources documenting package: reference manual, including package basic information functions documentation files. package vignettes. github.io website (built pkgdown package).","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"reference-manual","dir":"","previous_headings":"Changes or additions > Package documentation","what":"Reference manual","title":"Contributing guidelines","text":"reference manual gets information .Rd documents within man folder package repository. Therefore, updating information files automatically update reference manual. Note GGIR functions intended direct interaction user, , documentation arguments centralized details section man/GGIR.Rd. example want add extra parameter params_247 documented . , forget include new argument functions  .","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"package-vignettes","dir":"","previous_headings":"Changes or additions > Package documentation","what":"Package vignettes","title":"Contributing guidelines","text":"folder vignettes GGIR repository contains .Rmd files. .Rmd files start word ‘chapter’ used traditional package vignettes hosted CRAN. Use files edit existing vignette, use structure vignettes build new one. .Rmd files name starts word ‘chapter’ ignored. chapter-vignettes used github.io website (see next section). create new vignette CRAN create new package vignette CRAN, please use usethis::use_vignette() make sure name vignette file start “chapter”. example, want create new vignette sleep CRAN, may following: create new “sleep.Rmd” file within vignettes folder GGIR repository. can edit file build vignette. remove vignette CRAN two ways remove vignette CRAN: Removing Rmd file corresponding vignette vignettes folder, note file information lost. Adding path vignette .Rbuildignore file available GGIR repository. example, remove GGIRParameters vignette CRAN, can add:","code":"usethis::use_vignette(name = \"sleep\",                       title = \"How to analyse your sleep data in GGIR\") ^vignettes/GGIRParameters.Rmd"},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"githubio-website","dir":"","previous_headings":"Changes or additions > Package documentation","what":"github.io website","title":"Contributing guidelines","text":"updating adding information github.io website, need use pkgdown configuration file can found repositories root directory, well chapter vignettes discussed . edit information existing chapter Open vignette corresponding chapter wish edit (see _pkgdown.yml) file chapter vignette path (href). Make changes vignette. Run pkgdown::build_site() function. add new chapter Create Rmd file vignette via usethis::use_vignette() make sure name vignette starts “chapter”, example: Open _pkgdown.yml file fill name reference new chapter menu. Make sure follow coding structure rest chapters. Run pkgdown::build_site() function. remove chapter Remove lines corresponding chapter _pkgdown.yml file line 42 onwards. Optionally may remove Rmd file corresponding chapter, step 1, chapter appear github.io website. Run pkgdown::build_site() function. edit name chapter Chapter names defined twice, _pkgdown.yml file vignette file . need make sure titles match first used drop-list github.io website specific page chapter.","code":"usethis::use_vignette(name = \"chapterSleep\",                       title = \"10. How to analyse your sleep data in GGIR\")"},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"adding-the-changes-to-the-master-branch","dir":"","previous_headings":"Changes or additions > Package documentation","what":"Adding the changes to the master branch","title":"Contributing guidelines","text":"last step committing pushing changes github making pull request contribution package. Note , running pkgdown::build_site() function edit files within docs folder, probably add new files. applies editing information github.io website. important changes files docs folder also part pull requests, otherwise website updated.","code":""},{"path":"https://wadpac.github.io/GGIR/CONTRIBUTING.html","id":"new-release","dir":"","previous_headings":"","what":"New release","title":"Contributing guidelines","text":"GGIR follows release cycle process described document.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":null,"dir":"Reference","previous_headings":"","what":"Activity balance index (ABI) — ABI","title":"Activity balance index (ABI) — ABI","text":"function estimates Activity balance index (ABI), transformation self-similarity parameter (SSP), also known scaling exponent alpha.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Activity balance index (ABI) — ABI","text":"","code":"ABI(x)"},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Activity balance index (ABI) — ABI","text":"x estimated self-similarity parameter (SSP)","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Activity balance index (ABI) — ABI","text":"estimated Activity balance index (ABI) real number zero one.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Activity balance index (ABI) — ABI","text":"ABI = exp(-abs(SSP-1)/exp(-2))","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Activity balance index (ABI) — ABI","text":"C.-K. Peng, S.V. Buldyrev, S. Havlin, M. Simons, H.E. Stanley, .L. Goldberger Phys. Rev. E, 49 (1994), p. 1685   Mesquita, Victor & Filho, Florencio & Rodrigues, Paulo. (2020). Detection crossover points detrended fluctuation analysis: application EEG signals patients epilepsy. Bioinformatics. 10.1093/bioinformatics/btaa955.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Activity balance index (ABI) — ABI","text":"Ian Meneghel Danilevicz <ian.meneghel-danilevicz@inserm.fr>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/ABI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Activity balance index (ABI) — ABI","text":"","code":"# Estimate Activity balance index of a very known time series   # available on R base: the sunspot.year.   if (FALSE) { # \\dontrun{       ssp = SSP(sunspot.year)     abi = ABI(ssp)   } # }"},{"path":"https://wadpac.github.io/GGIR/reference/aggregateEvent.html","id":null,"dir":"Reference","previous_headings":"","what":"Aggregates event data as produced by external function — aggregateEvent","title":"Aggregates event data as produced by external function — aggregateEvent","text":"Aggregates event data produced external function","code":""},{"path":"https://wadpac.github.io/GGIR/reference/aggregateEvent.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Aggregates event data as produced by external function — aggregateEvent","text":"","code":"aggregateEvent(metric_name, epochsize, daysummary, ds_names,                           fi, di, vari, segmentInfo, myfun = NULL,                           params_247)"},{"path":"https://wadpac.github.io/GGIR/reference/aggregateEvent.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Aggregates event data as produced by external function — aggregateEvent","text":"metric_name Character name metric epochsize Numeric epochsize seconds timeseries daysummary Matrix prelimenary day summary ds_names Daysummary column names fi Column index daysummary di Row index daysummary representing recording day vari Time series derived metashort segmentInfo List passed g.analyse.perday time series indices     segment analyse segment name segment number. myfun See GGIR params_247 See GGIR","code":""},{"path":"https://wadpac.github.io/GGIR/reference/aggregateEvent.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Aggregates event data as produced by external function — aggregateEvent","text":"Vincent T van Hees <v.vanhees@accelting.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/apply_cosinor_IS_IV_Analyses.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply Cosinor Analyses to time series — apply_cosinor_IS_IV_Analyses","title":"Apply Cosinor Analyses to time series — apply_cosinor_IS_IV_Analyses","text":"Wrapper function around cosinor_IS_IV_Analyses first prepares time series   applying cosinorAnlayses","code":""},{"path":"https://wadpac.github.io/GGIR/reference/apply_cosinor_IS_IV_Analyses.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply Cosinor Analyses to time series — apply_cosinor_IS_IV_Analyses","text":"","code":"apply_cosinor_IS_IV_Analyses(ts, qcheck, midnightsi, epochsizes, threshold = NULL)"},{"path":"https://wadpac.github.io/GGIR/reference/apply_cosinor_IS_IV_Analyses.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply Cosinor Analyses to time series — apply_cosinor_IS_IV_Analyses","text":"ts Data.frame timestamps acceleration metric. qcheck Vector equal length number rows ts value 1 invalid     timestamps, 0 otherwise. midnightsi Indices midnights time series epochsizes Epoch size ts qcheck respectively threshold See cosinor_IS_IV_Analyses","code":""},{"path":"https://wadpac.github.io/GGIR/reference/apply_cosinor_IS_IV_Analyses.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Apply Cosinor Analyses to time series — apply_cosinor_IS_IV_Analyses","text":"Vincent T van Hees <v.vanhees@accelting.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/cosinor_IS_IV_Analyses.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply cosinor anlaysis and extended cosinor analysis — cosinor_IS_IV_Analyses","title":"Apply cosinor anlaysis and extended cosinor analysis — cosinor_IS_IV_Analyses","text":"Applies cosinor anlaysis ActCR package time series, well   IV, phi estimates.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/cosinor_IS_IV_Analyses.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply cosinor anlaysis and extended cosinor analysis — cosinor_IS_IV_Analyses","text":"","code":"cosinor_IS_IV_Analyses(Xi, epochsize = 60, timeOffsetHours = 0, threshold = NULL)"},{"path":"https://wadpac.github.io/GGIR/reference/cosinor_IS_IV_Analyses.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply cosinor anlaysis and extended cosinor analysis — cosinor_IS_IV_Analyses","text":"Xi Vector time series movement indicators maximum < 8 mean < 1     input assumed g-units multiplied 1000. epochsize Numeric epochsize seconds timeOffsetHours Numeric time hours relative next midnight threshold Numeric value use threshold distinguish inactivity active behaviour     IV analysis. GGIR uses parameter threshold.lig set threshold.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/cosinor_IS_IV_Analyses.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Apply cosinor anlaysis and extended cosinor analysis — cosinor_IS_IV_Analyses","text":"Vincent T van Hees <v.vanhees@accelting.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":null,"dir":"Reference","previous_headings":"","what":"Detrended Fluctuation Analysis — DFA","title":"Detrended Fluctuation Analysis — DFA","text":"Detrended Fluctuation Analysis (DFA)","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Detrended Fluctuation Analysis — DFA","text":"","code":"DFA(data, scale = 2^(1/8), box_size = 4, m = 1)"},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Detrended Fluctuation Analysis — DFA","text":"data Univariate time series (must vector data frame) scale Specifies ratio successive box sizes (default scale = 2^(1/8)) box_size Vector box sizes (must used conjunction scale = \"F\") m integer polynomial order detrending (default m=1)","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Detrended Fluctuation Analysis — DFA","text":"Estimated alpha real number zero two.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Detrended Fluctuation Analysis — DFA","text":"DFA fluctuation can computed geometric scale different choices boxes sizes.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Detrended Fluctuation Analysis — DFA","text":"possible estimating alpha multiple time series .","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Detrended Fluctuation Analysis — DFA","text":"C.-K. Peng, S.V. Buldyrev, S. Havlin, M. Simons, H.E. Stanley, .L. Goldberger Phys. Rev. E, 49 (1994), p. 1685   Mesquita, Victor & Filho, Florencio & Rodrigues, Paulo. (2020). Detection crossover points detrended fluctuation analysis: application EEG signals patients epilepsy. Bioinformatics. 10.1093/bioinformatics/btaa955.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Detrended Fluctuation Analysis — DFA","text":"Ian Meneghel Danilevicz <ian.meneghel-danilevicz@inserm.fr>   Victor Barreto Mesquita <victormesquita40@hotmail.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/DFA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Detrended Fluctuation Analysis — DFA","text":"","code":"# Estimate self-similarity of a very known time series available   # on R base: the sunspot.year.   # Then the spend time with each method is compared.   if (FALSE) { # \\dontrun{     dfa = DFA(sunspot.year)   } # }"},{"path":"https://wadpac.github.io/GGIR/reference/filterNonwearNight.html","id":null,"dir":"Reference","previous_headings":"","what":"Filters short lasting nonwear during the night — filterNonwearNight","title":"Filters short lasting nonwear during the night — filterNonwearNight","text":"Filters short lasting nonwear night. intended   direct use GGIR user.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/filterNonwearNight.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Filters short lasting nonwear during the night — filterNonwearNight","text":"","code":"filterNonwearNight(r1, metalong, qwindowImp, desiredtz, params_cleaning, ws2)"},{"path":"https://wadpac.github.io/GGIR/reference/filterNonwearNight.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Filters short lasting nonwear during the night — filterNonwearNight","text":"r1 Object r1 created inside function g.weardec vector     zeros ones derived metalong 1 indicates nonwear 0 wear. metalong Object metalong created g.part1 qwindowImp See g.impute desiredtz See GGIR params_cleaning Parameters object cleaning paramete, see GGIR. ws2 Object ws2 equals second value vector parameter windowsizes","code":""},{"path":"https://wadpac.github.io/GGIR/reference/filterNonwearNight.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Filters short lasting nonwear during the night — filterNonwearNight","text":"r1 object short lasting nonwear night removed","code":""},{"path":"https://wadpac.github.io/GGIR/reference/filterNonwearNight.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Filters short lasting nonwear during the night — filterNonwearNight","text":"Vincent T van Hees <v.vanhees@accelting.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/MXLX.html","id":null,"dir":"Reference","previous_headings":"","what":"MX LX analysis — MXLX","title":"MX LX analysis — MXLX","text":"Identifies least active X hours","code":""},{"path":"https://wadpac.github.io/GGIR/reference/MXLX.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MX LX analysis — MXLX","text":"","code":"MXLX(Y = NULL, X = 5, epochSize = 1, tseg = c(0, 24), resolutionMin = 10)"},{"path":"https://wadpac.github.io/GGIR/reference/MXLX.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MX LX analysis — MXLX","text":"Y Vector numeric time series X Single numeric value X hours epochSize Numeric epoch size seconds Y tseg Numeric vector length two reflecting time windownof Y real clock hours.     example, Y represent noon-midnight     set tseg c(12, 24). resolutionMin Numeric value indicate resolution minutes MX LX search","code":""},{"path":"https://wadpac.github.io/GGIR/reference/MXLX.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"MX LX analysis — MXLX","text":"data.frame : LX average value Y LX LXhr hour day LX starts start_LX index Y LX starts end_LX index Y LX ends MX average value Y MX MXhr hour day MX starts start_MX index Y MX starts end_MX index Y MX ends","code":""},{"path":"https://wadpac.github.io/GGIR/reference/MXLX.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"MX LX analysis — MXLX","text":"Vincent T van Hees <v.vanhees@accelting.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimated self-similarity parameter — SSP","title":"Estimated self-similarity parameter — SSP","text":"function estimates self-similarity parameter (SSP), also known scaling exponent alpha.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimated self-similarity parameter — SSP","text":"","code":"SSP(data,scale = 2^(1/8),box_size = 4,m=1)"},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimated self-similarity parameter — SSP","text":"data Univariate time series (must vector data frame) scale Specifies ratio successive box sizes (default scale = 2^(1/8)) box_size Vector box sizes (must used conjunction scale = \"F\") m integer polynomial order detrending (default m=1)","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimated self-similarity parameter — SSP","text":"Estimated alpha real number zero two.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimated self-similarity parameter — SSP","text":"DFA fluctuation can computed geometric scale different choices boxes sizes.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimated self-similarity parameter — SSP","text":"possible estimating alpha multiple time series .","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimated self-similarity parameter — SSP","text":"C.-K. Peng, S.V. Buldyrev, S. Havlin, M. Simons, H.E. Stanley, .L. Goldberger Phys. Rev. E, 49 (1994), p. 1685   Mesquita, Victor & Filho, Florencio & Rodrigues, Paulo. (2020). Detection crossover points detrended fluctuation analysis: application EEG signals patients epilepsy. Bioinformatics. 10.1093/bioinformatics/btaa955.","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Estimated self-similarity parameter — SSP","text":"Ian Meneghel Danilevicz <ian.meneghel-danilevicz@inserm.fr>   Victor Barreto Mesquita <victormesquita40@hotmail.com>","code":""},{"path":"https://wadpac.github.io/GGIR/reference/SSP.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimated self-similarity parameter — SSP","text":"","code":"# Estimate self-similarity of a very known time series available on R base: the sunspot.year.   # Then the spend time with each method is compared.   if (FALSE) { # \\dontrun{     ssp = SSP(sunspot.year)   } # }"},{"path":"https://wadpac.github.io/GGIR/reference/visualReport.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate visualisation of time series produced by part 5. — visualReport","title":"Generate visualisation of time series produced by part 5. — visualReport","text":"Function called GGIR. intended   direct use user","code":""},{"path":"https://wadpac.github.io/GGIR/reference/visualReport.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate visualisation of time series produced by part 5. — visualReport","text":"","code":"visualReport(metadatadir = c(),                f0 = c(), f1 = c(), overwrite = FALSE,               desiredtz = \"\",               verbose = TRUE,               part6_threshold_combi = NULL, GGIRversion = NULL,               params_sleep = NULL,               params_output = NULL)"},{"path":"https://wadpac.github.io/GGIR/reference/visualReport.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate visualisation of time series produced by part 5. — visualReport","text":"metadatadir Directory holds folder 'meta' inside folder 'basic'     contains milestone data produced g.part1. folderstructure     normally created g.part1 GGIR recognise     value metadatadir . f0 File index start (default = 1). Index refers filenames sorted     alphabetical order f1 File index finish (defaults number files available, .e., f1 = 0) overwrite See GGIR desiredtz See GGIR verbose See GGIR part6_threshold_combi See GGIR GGIRversion Character GGIR version number params_sleep See GGIR params_output See GGIR","code":""},{"path":"https://wadpac.github.io/GGIR/reference/visualReport.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate visualisation of time series produced by part 5. — visualReport","text":"values, function generates plot","code":""},{"path":"https://wadpac.github.io/GGIR/reference/visualReport.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Generate visualisation of time series produced by part 5. — visualReport","text":"Vincent T van Hees <v.vanhees@accelting.com>","code":""},{"path":"https://wadpac.github.io/GGIR/RELEASE_CYCLE.html","id":null,"dir":"","previous_headings":"","what":"Version numbering","title":"Version numbering","text":"use version encoding .B-C: increases major changes affect backward compatibility previous releases like changes function names, function arguments file format. B increases every CRAN release. aim avoid four CRAN releases per year. C increases every GitHub release. aim avoid one GitHub release per month.","code":""},{"path":"https://wadpac.github.io/GGIR/RELEASE_CYCLE.html","id":"github-releases","dir":"","previous_headings":"","what":"GitHub releases","title":"Version numbering","text":"releasing, please make sure check following: Create GitHub issue least 1 weeks intended release announce release indicate release. Make sure change log inst/NEWS.Rd date says “GitHub--release date” rather “release date” Make sure third (last) digit version number incremented one relative master branch date present date. applies files DESCRIPTION, GGIR-package.Rd NEWS.Rd file. Use function prepareNewRelease.R root GGIR double check version number date consistent files. Update package contributor list new people contributed. Run R CMD check ---cran make sure tests checks pass. Note GitHub releases require release name. typically choose random name city town South America. Whatever choose easy read remember word.","code":""},{"path":"https://wadpac.github.io/GGIR/RELEASE_CYCLE.html","id":"cran-releases","dir":"","previous_headings":"","what":"CRAN releases","title":"Version numbering","text":"CRAN release, follow following steps: Create GitHub issue least 4 weeks intended CRAN release announcing release indicating release list. CRAN release come major changes covered GitHub-releases. change log now say “release date” rather “GitHub--release date”. Second digit version number incremented 1 relative current CRAN version. Check whether new R version released coming make sure GGIR also tested version. Run RStudio devtools::check( manual = TRUE, remote = TRUE, incoming = TRUE) help check urls Ask Vincent (GitHub tag: vincentvanhees) submit release CRAN needs come e-mail address.","code":""}]
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index 192bd673a..76858cea1 100644
--- a/docs/sitemap.xml
+++ b/docs/sitemap.xml
@@ -61,6 +61,7 @@
 <url><loc>https://wadpac.github.io/GGIR/reference/DFA.html</loc></url>
 <url><loc>https://wadpac.github.io/GGIR/reference/extractID.html</loc></url>
 <url><loc>https://wadpac.github.io/GGIR/reference/extract_params.html</loc></url>
+<url><loc>https://wadpac.github.io/GGIR/reference/filterNonwearNight.html</loc></url>
 <url><loc>https://wadpac.github.io/GGIR/reference/g.abr.day.names.html</loc></url>
 <url><loc>https://wadpac.github.io/GGIR/reference/g.analyse.avday.html</loc></url>
 <url><loc>https://wadpac.github.io/GGIR/reference/g.analyse.html</loc></url>
@@ -145,6 +146,7 @@
 <url><loc>https://wadpac.github.io/GGIR/reference/SSP.html</loc></url>
 <url><loc>https://wadpac.github.io/GGIR/reference/tidyup_df.html</loc></url>
 <url><loc>https://wadpac.github.io/GGIR/reference/updateBlocksize.html</loc></url>
+<url><loc>https://wadpac.github.io/GGIR/reference/visualReport.html</loc></url>
 <url><loc>https://wadpac.github.io/GGIR/RELEASE_CYCLE.html</loc></url>
 </urlset>