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XM_40017/dev/tsp_src/index.html
Documenter.jl 576f3414b8 build based on 26afa1d
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<!DOCTYPE html>
<html lang="en">
<head><meta charset="utf-8"/>
<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
<title>tsp</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<script src='../assets/iframeResizer.contentWindow.min.js'></script>
<style type="text/css">
pre { line-height: 125%; }
td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
.highlight .hll { background-color: var(--jp-cell-editor-active-background) }
.highlight { background: var(--jp-cell-editor-background); color: var(--jp-mirror-editor-variable-color) }
.highlight .c { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment */
.highlight .err { color: var(--jp-mirror-editor-error-color) } /* Error */
.highlight .k { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword */
.highlight .o { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator */
.highlight .p { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation */
.highlight .ch { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Multiline */
.highlight .cp { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Preproc */
.highlight .cpf { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Single */
.highlight .cs { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Special */
.highlight .kc { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Pseudo */
.highlight .kr { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Type */
.highlight .m { color: var(--jp-mirror-editor-number-color) } /* Literal.Number */
.highlight .s { color: var(--jp-mirror-editor-string-color) } /* Literal.String */
.highlight .ow { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator.Word */
.highlight .pm { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation.Marker */
.highlight .w { color: var(--jp-mirror-editor-variable-color) } /* Text.Whitespace */
.highlight .mb { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Bin */
.highlight .mf { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Float */
.highlight .mh { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Hex */
.highlight .mi { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer */
.highlight .mo { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Oct */
.highlight .sa { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Affix */
.highlight .sb { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Backtick */
.highlight .sc { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Char */
.highlight .dl { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Delimiter */
.highlight .sd { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Doc */
.highlight .s2 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Double */
.highlight .se { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Escape */
.highlight .sh { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Heredoc */
.highlight .si { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Interpol */
.highlight .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */
.highlight .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */
.highlight .s1 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Single */
.highlight .ss { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Symbol */
.highlight .il { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer.Long */
</style>
<style type="text/css">
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*
* Mozilla scrollbar styling
*/
/* use standard opaque scrollbars for most nodes */
[data-jp-theme-scrollbars='true'] {
scrollbar-color: rgb(var(--jp-scrollbar-thumb-color))
var(--jp-scrollbar-background-color);
}
/* for code nodes, use a transparent style of scrollbar. These selectors
* will match lower in the tree, and so will override the above */
[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar,
[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar {
scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
}
/* tiny scrollbar */
.jp-scrollbar-tiny {
scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
scrollbar-width: thin;
}
/* tiny scrollbar */
.jp-scrollbar-tiny::-webkit-scrollbar,
.jp-scrollbar-tiny::-webkit-scrollbar-corner {
background-color: transparent;
height: 4px;
width: 4px;
}
.jp-scrollbar-tiny::-webkit-scrollbar-thumb {
background: rgba(var(--jp-scrollbar-thumb-color), 0.5);
}
.jp-scrollbar-tiny::-webkit-scrollbar-track:horizontal {
border-left: 0 solid transparent;
border-right: 0 solid transparent;
}
.jp-scrollbar-tiny::-webkit-scrollbar-track:vertical {
border-top: 0 solid transparent;
border-bottom: 0 solid transparent;
}
/*
* Lumino
*/
.lm-ScrollBar[data-orientation='horizontal'] {
min-height: 16px;
max-height: 16px;
min-width: 45px;
border-top: 1px solid #a0a0a0;
}
.lm-ScrollBar[data-orientation='vertical'] {
min-width: 16px;
max-width: 16px;
min-height: 45px;
border-left: 1px solid #a0a0a0;
}
.lm-ScrollBar-button {
background-color: #f0f0f0;
background-position: center center;
min-height: 15px;
max-height: 15px;
min-width: 15px;
max-width: 15px;
}
.lm-ScrollBar-button:hover {
background-color: #dadada;
}
.lm-ScrollBar-button.lm-mod-active {
background-color: #cdcdcd;
}
.lm-ScrollBar-track {
background: #f0f0f0;
}
.lm-ScrollBar-thumb {
background: #cdcdcd;
}
.lm-ScrollBar-thumb:hover {
background: #bababa;
}
.lm-ScrollBar-thumb.lm-mod-active {
background: #a0a0a0;
}
.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {
height: 100%;
min-width: 15px;
border-left: 1px solid #a0a0a0;
border-right: 1px solid #a0a0a0;
}
.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {
width: 100%;
min-height: 15px;
border-top: 1px solid #a0a0a0;
border-bottom: 1px solid #a0a0a0;
}
.lm-ScrollBar[data-orientation='horizontal']
.lm-ScrollBar-button[data-action='decrement'] {
background-image: var(--jp-icon-caret-left);
background-size: 17px;
}
.lm-ScrollBar[data-orientation='horizontal']
.lm-ScrollBar-button[data-action='increment'] {
background-image: var(--jp-icon-caret-right);
background-size: 17px;
}
.lm-ScrollBar[data-orientation='vertical']
.lm-ScrollBar-button[data-action='decrement'] {
background-image: var(--jp-icon-caret-up);
background-size: 17px;
}
.lm-ScrollBar[data-orientation='vertical']
.lm-ScrollBar-button[data-action='increment'] {
background-image: var(--jp-icon-caret-down);
background-size: 17px;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-Widget {
box-sizing: border-box;
position: relative;
overflow: hidden;
}
.lm-Widget.lm-mod-hidden {
display: none !important;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
.lm-AccordionPanel[data-orientation='horizontal'] > .lm-AccordionPanel-title {
/* Title is rotated for horizontal accordion panel using CSS */
display: block;
transform-origin: top left;
transform: rotate(-90deg) translate(-100%);
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-CommandPalette {
display: flex;
flex-direction: column;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.lm-CommandPalette-search {
flex: 0 0 auto;
}
.lm-CommandPalette-content {
flex: 1 1 auto;
margin: 0;
padding: 0;
min-height: 0;
overflow: auto;
list-style-type: none;
}
.lm-CommandPalette-header {
overflow: hidden;
white-space: nowrap;
text-overflow: ellipsis;
}
.lm-CommandPalette-item {
display: flex;
flex-direction: row;
}
.lm-CommandPalette-itemIcon {
flex: 0 0 auto;
}
.lm-CommandPalette-itemContent {
flex: 1 1 auto;
overflow: hidden;
}
.lm-CommandPalette-itemShortcut {
flex: 0 0 auto;
}
.lm-CommandPalette-itemLabel {
overflow: hidden;
white-space: nowrap;
text-overflow: ellipsis;
}
.lm-close-icon {
border: 1px solid transparent;
background-color: transparent;
position: absolute;
z-index: 1;
right: 3%;
top: 0;
bottom: 0;
margin: auto;
padding: 7px 0;
display: none;
vertical-align: middle;
outline: 0;
cursor: pointer;
}
.lm-close-icon:after {
content: 'X';
display: block;
width: 15px;
height: 15px;
text-align: center;
color: #000;
font-weight: normal;
font-size: 12px;
cursor: pointer;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-DockPanel {
z-index: 0;
}
.lm-DockPanel-widget {
z-index: 0;
}
.lm-DockPanel-tabBar {
z-index: 1;
}
.lm-DockPanel-handle {
z-index: 2;
}
.lm-DockPanel-handle.lm-mod-hidden {
display: none !important;
}
.lm-DockPanel-handle:after {
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
content: '';
}
.lm-DockPanel-handle[data-orientation='horizontal'] {
cursor: ew-resize;
}
.lm-DockPanel-handle[data-orientation='vertical'] {
cursor: ns-resize;
}
.lm-DockPanel-handle[data-orientation='horizontal']:after {
left: 50%;
min-width: 8px;
transform: translateX(-50%);
}
.lm-DockPanel-handle[data-orientation='vertical']:after {
top: 50%;
min-height: 8px;
transform: translateY(-50%);
}
.lm-DockPanel-overlay {
z-index: 3;
box-sizing: border-box;
pointer-events: none;
}
.lm-DockPanel-overlay.lm-mod-hidden {
display: none !important;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-Menu {
z-index: 10000;
position: absolute;
white-space: nowrap;
overflow-x: hidden;
overflow-y: auto;
outline: none;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.lm-Menu-content {
margin: 0;
padding: 0;
display: table;
list-style-type: none;
}
.lm-Menu-item {
display: table-row;
}
.lm-Menu-item.lm-mod-hidden,
.lm-Menu-item.lm-mod-collapsed {
display: none !important;
}
.lm-Menu-itemIcon,
.lm-Menu-itemSubmenuIcon {
display: table-cell;
text-align: center;
}
.lm-Menu-itemLabel {
display: table-cell;
text-align: left;
}
.lm-Menu-itemShortcut {
display: table-cell;
text-align: right;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-MenuBar {
outline: none;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.lm-MenuBar-content {
margin: 0;
padding: 0;
display: flex;
flex-direction: row;
list-style-type: none;
}
.lm-MenuBar-item {
box-sizing: border-box;
}
.lm-MenuBar-itemIcon,
.lm-MenuBar-itemLabel {
display: inline-block;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-ScrollBar {
display: flex;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.lm-ScrollBar[data-orientation='horizontal'] {
flex-direction: row;
}
.lm-ScrollBar[data-orientation='vertical'] {
flex-direction: column;
}
.lm-ScrollBar-button {
box-sizing: border-box;
flex: 0 0 auto;
}
.lm-ScrollBar-track {
box-sizing: border-box;
position: relative;
overflow: hidden;
flex: 1 1 auto;
}
.lm-ScrollBar-thumb {
box-sizing: border-box;
position: absolute;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-SplitPanel-child {
z-index: 0;
}
.lm-SplitPanel-handle {
z-index: 1;
}
.lm-SplitPanel-handle.lm-mod-hidden {
display: none !important;
}
.lm-SplitPanel-handle:after {
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
content: '';
}
.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
cursor: ew-resize;
}
.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
cursor: ns-resize;
}
.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
left: 50%;
min-width: 8px;
transform: translateX(-50%);
}
.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
top: 50%;
min-height: 8px;
transform: translateY(-50%);
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-TabBar {
display: flex;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.lm-TabBar[data-orientation='horizontal'] {
flex-direction: row;
align-items: flex-end;
}
.lm-TabBar[data-orientation='vertical'] {
flex-direction: column;
align-items: flex-end;
}
.lm-TabBar-content {
margin: 0;
padding: 0;
display: flex;
flex: 1 1 auto;
list-style-type: none;
}
.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
flex-direction: row;
}
.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
flex-direction: column;
}
.lm-TabBar-tab {
display: flex;
flex-direction: row;
box-sizing: border-box;
overflow: hidden;
touch-action: none; /* Disable native Drag/Drop */
}
.lm-TabBar-tabIcon,
.lm-TabBar-tabCloseIcon {
flex: 0 0 auto;
}
.lm-TabBar-tabLabel {
flex: 1 1 auto;
overflow: hidden;
white-space: nowrap;
}
.lm-TabBar-tabInput {
user-select: all;
width: 100%;
box-sizing: border-box;
}
.lm-TabBar-tab.lm-mod-hidden {
display: none !important;
}
.lm-TabBar-addButton.lm-mod-hidden {
display: none !important;
}
.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
position: relative;
}
.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
left: 0;
transition: left 150ms ease;
}
.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
top: 0;
transition: top 150ms ease;
}
.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
transition: none;
}
.lm-TabBar-tabLabel .lm-TabBar-tabInput {
user-select: all;
width: 100%;
box-sizing: border-box;
background: inherit;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-TabPanel-tabBar {
z-index: 1;
}
.lm-TabPanel-stackedPanel {
z-index: 0;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-Collapse {
display: flex;
flex-direction: column;
align-items: stretch;
}
.jp-Collapse-header {
padding: 1px 12px;
background-color: var(--jp-layout-color1);
border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
color: var(--jp-ui-font-color1);
cursor: pointer;
display: flex;
align-items: center;
font-size: var(--jp-ui-font-size0);
font-weight: 600;
text-transform: uppercase;
user-select: none;
}
.jp-Collapser-icon {
height: 16px;
}
.jp-Collapse-header-collapsed .jp-Collapser-icon {
transform: rotate(-90deg);
margin: auto 0;
}
.jp-Collapser-title {
line-height: 25px;
}
.jp-Collapse-contents {
padding: 0 12px;
background-color: var(--jp-layout-color1);
color: var(--jp-ui-font-color1);
overflow: auto;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
/**
* (DEPRECATED) Support for consuming icons as CSS background images
*/
/* Icons urls */
:root {
--jp-icon-add-above: url(data:image/svg+xml;base64,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);
--jp-icon-add-below: url(data:image/svg+xml;base64,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);
--jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
--jp-icon-bell: url(data:image/svg+xml;base64,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);
--jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
--jp-icon-bug: url(data:image/svg+xml;base64,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);
--jp-icon-build: url(data:image/svg+xml;base64,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);
--jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
--jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
--jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
--jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
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--jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
--jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
--jp-icon-regex: url(data:image/svg+xml;base64,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);
--jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
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--jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
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--jp-icon-toc: url(data:image/svg+xml;base64,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);
--jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
--jp-icon-trusted: url(data:image/svg+xml;base64,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);
--jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
--jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
--jp-icon-users: url(data:image/svg+xml;base64,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);
--jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
--jp-icon-word: url(data:image/svg+xml;base64,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);
--jp-icon-yaml: url(data:image/svg+xml;base64,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);
}
/* Icon CSS class declarations */
.jp-AddAboveIcon {
background-image: var(--jp-icon-add-above);
}
.jp-AddBelowIcon {
background-image: var(--jp-icon-add-below);
}
.jp-AddIcon {
background-image: var(--jp-icon-add);
}
.jp-BellIcon {
background-image: var(--jp-icon-bell);
}
.jp-BugDotIcon {
background-image: var(--jp-icon-bug-dot);
}
.jp-BugIcon {
background-image: var(--jp-icon-bug);
}
.jp-BuildIcon {
background-image: var(--jp-icon-build);
}
.jp-CaretDownEmptyIcon {
background-image: var(--jp-icon-caret-down-empty);
}
.jp-CaretDownEmptyThinIcon {
background-image: var(--jp-icon-caret-down-empty-thin);
}
.jp-CaretDownIcon {
background-image: var(--jp-icon-caret-down);
}
.jp-CaretLeftIcon {
background-image: var(--jp-icon-caret-left);
}
.jp-CaretRightIcon {
background-image: var(--jp-icon-caret-right);
}
.jp-CaretUpEmptyThinIcon {
background-image: var(--jp-icon-caret-up-empty-thin);
}
.jp-CaretUpIcon {
background-image: var(--jp-icon-caret-up);
}
.jp-CaseSensitiveIcon {
background-image: var(--jp-icon-case-sensitive);
}
.jp-CheckIcon {
background-image: var(--jp-icon-check);
}
.jp-CircleEmptyIcon {
background-image: var(--jp-icon-circle-empty);
}
.jp-CircleIcon {
background-image: var(--jp-icon-circle);
}
.jp-ClearIcon {
background-image: var(--jp-icon-clear);
}
.jp-CloseIcon {
background-image: var(--jp-icon-close);
}
.jp-CodeCheckIcon {
background-image: var(--jp-icon-code-check);
}
.jp-CodeIcon {
background-image: var(--jp-icon-code);
}
.jp-CollapseAllIcon {
background-image: var(--jp-icon-collapse-all);
}
.jp-ConsoleIcon {
background-image: var(--jp-icon-console);
}
.jp-CopyIcon {
background-image: var(--jp-icon-copy);
}
.jp-CopyrightIcon {
background-image: var(--jp-icon-copyright);
}
.jp-CutIcon {
background-image: var(--jp-icon-cut);
}
.jp-DeleteIcon {
background-image: var(--jp-icon-delete);
}
.jp-DownloadIcon {
background-image: var(--jp-icon-download);
}
.jp-DuplicateIcon {
background-image: var(--jp-icon-duplicate);
}
.jp-EditIcon {
background-image: var(--jp-icon-edit);
}
.jp-EllipsesIcon {
background-image: var(--jp-icon-ellipses);
}
.jp-ErrorIcon {
background-image: var(--jp-icon-error);
}
.jp-ExpandAllIcon {
background-image: var(--jp-icon-expand-all);
}
.jp-ExtensionIcon {
background-image: var(--jp-icon-extension);
}
.jp-FastForwardIcon {
background-image: var(--jp-icon-fast-forward);
}
.jp-FileIcon {
background-image: var(--jp-icon-file);
}
.jp-FileUploadIcon {
background-image: var(--jp-icon-file-upload);
}
.jp-FilterDotIcon {
background-image: var(--jp-icon-filter-dot);
}
.jp-FilterIcon {
background-image: var(--jp-icon-filter);
}
.jp-FilterListIcon {
background-image: var(--jp-icon-filter-list);
}
.jp-FolderFavoriteIcon {
background-image: var(--jp-icon-folder-favorite);
}
.jp-FolderIcon {
background-image: var(--jp-icon-folder);
}
.jp-HomeIcon {
background-image: var(--jp-icon-home);
}
.jp-Html5Icon {
background-image: var(--jp-icon-html5);
}
.jp-ImageIcon {
background-image: var(--jp-icon-image);
}
.jp-InfoIcon {
background-image: var(--jp-icon-info);
}
.jp-InspectorIcon {
background-image: var(--jp-icon-inspector);
}
.jp-JsonIcon {
background-image: var(--jp-icon-json);
}
.jp-JuliaIcon {
background-image: var(--jp-icon-julia);
}
.jp-JupyterFaviconIcon {
background-image: var(--jp-icon-jupyter-favicon);
}
.jp-JupyterIcon {
background-image: var(--jp-icon-jupyter);
}
.jp-JupyterlabWordmarkIcon {
background-image: var(--jp-icon-jupyterlab-wordmark);
}
.jp-KernelIcon {
background-image: var(--jp-icon-kernel);
}
.jp-KeyboardIcon {
background-image: var(--jp-icon-keyboard);
}
.jp-LaunchIcon {
background-image: var(--jp-icon-launch);
}
.jp-LauncherIcon {
background-image: var(--jp-icon-launcher);
}
.jp-LineFormIcon {
background-image: var(--jp-icon-line-form);
}
.jp-LinkIcon {
background-image: var(--jp-icon-link);
}
.jp-ListIcon {
background-image: var(--jp-icon-list);
}
.jp-MarkdownIcon {
background-image: var(--jp-icon-markdown);
}
.jp-MoveDownIcon {
background-image: var(--jp-icon-move-down);
}
.jp-MoveUpIcon {
background-image: var(--jp-icon-move-up);
}
.jp-NewFolderIcon {
background-image: var(--jp-icon-new-folder);
}
.jp-NotTrustedIcon {
background-image: var(--jp-icon-not-trusted);
}
.jp-NotebookIcon {
background-image: var(--jp-icon-notebook);
}
.jp-NumberingIcon {
background-image: var(--jp-icon-numbering);
}
.jp-OfflineBoltIcon {
background-image: var(--jp-icon-offline-bolt);
}
.jp-PaletteIcon {
background-image: var(--jp-icon-palette);
}
.jp-PasteIcon {
background-image: var(--jp-icon-paste);
}
.jp-PdfIcon {
background-image: var(--jp-icon-pdf);
}
.jp-PythonIcon {
background-image: var(--jp-icon-python);
}
.jp-RKernelIcon {
background-image: var(--jp-icon-r-kernel);
}
.jp-ReactIcon {
background-image: var(--jp-icon-react);
}
.jp-RedoIcon {
background-image: var(--jp-icon-redo);
}
.jp-RefreshIcon {
background-image: var(--jp-icon-refresh);
}
.jp-RegexIcon {
background-image: var(--jp-icon-regex);
}
.jp-RunIcon {
background-image: var(--jp-icon-run);
}
.jp-RunningIcon {
background-image: var(--jp-icon-running);
}
.jp-SaveIcon {
background-image: var(--jp-icon-save);
}
.jp-SearchIcon {
background-image: var(--jp-icon-search);
}
.jp-SettingsIcon {
background-image: var(--jp-icon-settings);
}
.jp-ShareIcon {
background-image: var(--jp-icon-share);
}
.jp-SpreadsheetIcon {
background-image: var(--jp-icon-spreadsheet);
}
.jp-StopIcon {
background-image: var(--jp-icon-stop);
}
.jp-TabIcon {
background-image: var(--jp-icon-tab);
}
.jp-TableRowsIcon {
background-image: var(--jp-icon-table-rows);
}
.jp-TagIcon {
background-image: var(--jp-icon-tag);
}
.jp-TerminalIcon {
background-image: var(--jp-icon-terminal);
}
.jp-TextEditorIcon {
background-image: var(--jp-icon-text-editor);
}
.jp-TocIcon {
background-image: var(--jp-icon-toc);
}
.jp-TreeViewIcon {
background-image: var(--jp-icon-tree-view);
}
.jp-TrustedIcon {
background-image: var(--jp-icon-trusted);
}
.jp-UndoIcon {
background-image: var(--jp-icon-undo);
}
.jp-UserIcon {
background-image: var(--jp-icon-user);
}
.jp-UsersIcon {
background-image: var(--jp-icon-users);
}
.jp-VegaIcon {
background-image: var(--jp-icon-vega);
}
.jp-WordIcon {
background-image: var(--jp-icon-word);
}
.jp-YamlIcon {
background-image: var(--jp-icon-yaml);
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/**
* (DEPRECATED) Support for consuming icons as CSS background images
*/
.jp-Icon,
.jp-MaterialIcon {
background-position: center;
background-repeat: no-repeat;
background-size: 16px;
min-width: 16px;
min-height: 16px;
}
.jp-Icon-cover {
background-position: center;
background-repeat: no-repeat;
background-size: cover;
}
/**
* (DEPRECATED) Support for specific CSS icon sizes
*/
.jp-Icon-16 {
background-size: 16px;
min-width: 16px;
min-height: 16px;
}
.jp-Icon-18 {
background-size: 18px;
min-width: 18px;
min-height: 18px;
}
.jp-Icon-20 {
background-size: 20px;
min-width: 20px;
min-height: 20px;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.lm-TabBar .lm-TabBar-addButton {
align-items: center;
display: flex;
padding: 4px;
padding-bottom: 5px;
margin-right: 1px;
background-color: var(--jp-layout-color2);
}
.lm-TabBar .lm-TabBar-addButton:hover {
background-color: var(--jp-layout-color1);
}
.lm-DockPanel-tabBar .lm-TabBar-tab {
width: var(--jp-private-horizontal-tab-width);
}
.lm-DockPanel-tabBar .lm-TabBar-content {
flex: unset;
}
.lm-DockPanel-tabBar[data-orientation='horizontal'] {
flex: 1 1 auto;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/**
* Support for icons as inline SVG HTMLElements
*/
/* recolor the primary elements of an icon */
.jp-icon0[fill] {
fill: var(--jp-inverse-layout-color0);
}
.jp-icon1[fill] {
fill: var(--jp-inverse-layout-color1);
}
.jp-icon2[fill] {
fill: var(--jp-inverse-layout-color2);
}
.jp-icon3[fill] {
fill: var(--jp-inverse-layout-color3);
}
.jp-icon4[fill] {
fill: var(--jp-inverse-layout-color4);
}
.jp-icon0[stroke] {
stroke: var(--jp-inverse-layout-color0);
}
.jp-icon1[stroke] {
stroke: var(--jp-inverse-layout-color1);
}
.jp-icon2[stroke] {
stroke: var(--jp-inverse-layout-color2);
}
.jp-icon3[stroke] {
stroke: var(--jp-inverse-layout-color3);
}
.jp-icon4[stroke] {
stroke: var(--jp-inverse-layout-color4);
}
/* recolor the accent elements of an icon */
.jp-icon-accent0[fill] {
fill: var(--jp-layout-color0);
}
.jp-icon-accent1[fill] {
fill: var(--jp-layout-color1);
}
.jp-icon-accent2[fill] {
fill: var(--jp-layout-color2);
}
.jp-icon-accent3[fill] {
fill: var(--jp-layout-color3);
}
.jp-icon-accent4[fill] {
fill: var(--jp-layout-color4);
}
.jp-icon-accent0[stroke] {
stroke: var(--jp-layout-color0);
}
.jp-icon-accent1[stroke] {
stroke: var(--jp-layout-color1);
}
.jp-icon-accent2[stroke] {
stroke: var(--jp-layout-color2);
}
.jp-icon-accent3[stroke] {
stroke: var(--jp-layout-color3);
}
.jp-icon-accent4[stroke] {
stroke: var(--jp-layout-color4);
}
/* set the color of an icon to transparent */
.jp-icon-none[fill] {
fill: none;
}
.jp-icon-none[stroke] {
stroke: none;
}
/* brand icon colors. Same for light and dark */
.jp-icon-brand0[fill] {
fill: var(--jp-brand-color0);
}
.jp-icon-brand1[fill] {
fill: var(--jp-brand-color1);
}
.jp-icon-brand2[fill] {
fill: var(--jp-brand-color2);
}
.jp-icon-brand3[fill] {
fill: var(--jp-brand-color3);
}
.jp-icon-brand4[fill] {
fill: var(--jp-brand-color4);
}
.jp-icon-brand0[stroke] {
stroke: var(--jp-brand-color0);
}
.jp-icon-brand1[stroke] {
stroke: var(--jp-brand-color1);
}
.jp-icon-brand2[stroke] {
stroke: var(--jp-brand-color2);
}
.jp-icon-brand3[stroke] {
stroke: var(--jp-brand-color3);
}
.jp-icon-brand4[stroke] {
stroke: var(--jp-brand-color4);
}
/* warn icon colors. Same for light and dark */
.jp-icon-warn0[fill] {
fill: var(--jp-warn-color0);
}
.jp-icon-warn1[fill] {
fill: var(--jp-warn-color1);
}
.jp-icon-warn2[fill] {
fill: var(--jp-warn-color2);
}
.jp-icon-warn3[fill] {
fill: var(--jp-warn-color3);
}
.jp-icon-warn0[stroke] {
stroke: var(--jp-warn-color0);
}
.jp-icon-warn1[stroke] {
stroke: var(--jp-warn-color1);
}
.jp-icon-warn2[stroke] {
stroke: var(--jp-warn-color2);
}
.jp-icon-warn3[stroke] {
stroke: var(--jp-warn-color3);
}
/* icon colors that contrast well with each other and most backgrounds */
.jp-icon-contrast0[fill] {
fill: var(--jp-icon-contrast-color0);
}
.jp-icon-contrast1[fill] {
fill: var(--jp-icon-contrast-color1);
}
.jp-icon-contrast2[fill] {
fill: var(--jp-icon-contrast-color2);
}
.jp-icon-contrast3[fill] {
fill: var(--jp-icon-contrast-color3);
}
.jp-icon-contrast0[stroke] {
stroke: var(--jp-icon-contrast-color0);
}
.jp-icon-contrast1[stroke] {
stroke: var(--jp-icon-contrast-color1);
}
.jp-icon-contrast2[stroke] {
stroke: var(--jp-icon-contrast-color2);
}
.jp-icon-contrast3[stroke] {
stroke: var(--jp-icon-contrast-color3);
}
.jp-icon-dot[fill] {
fill: var(--jp-warn-color0);
}
.jp-jupyter-icon-color[fill] {
fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
}
.jp-notebook-icon-color[fill] {
fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
}
.jp-json-icon-color[fill] {
fill: var(--jp-json-icon-color, var(--jp-warn-color1));
}
.jp-console-icon-color[fill] {
fill: var(--jp-console-icon-color, white);
}
.jp-console-icon-background-color[fill] {
fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
}
.jp-terminal-icon-color[fill] {
fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
}
.jp-terminal-icon-background-color[fill] {
fill: var(
--jp-terminal-icon-background-color,
var(--jp-inverse-layout-color2)
);
}
.jp-text-editor-icon-color[fill] {
fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
}
.jp-inspector-icon-color[fill] {
fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
}
/* CSS for icons in selected filebrowser listing items */
.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
fill: #fff;
}
.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
fill: var(--jp-brand-color1);
}
/* stylelint-disable selector-max-class, selector-max-compound-selectors */
/**
* TODO: come up with non css-hack solution for showing the busy icon on top
* of the close icon
* CSS for complex behavior of close icon of tabs in the main area tabbar
*/
.lm-DockPanel-tabBar
.lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
> .lm-TabBar-tabCloseIcon
> :not(:hover)
> .jp-icon3[fill] {
fill: none;
}
.lm-DockPanel-tabBar
.lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
> .lm-TabBar-tabCloseIcon
> :not(:hover)
> .jp-icon-busy[fill] {
fill: var(--jp-inverse-layout-color3);
}
/* stylelint-enable selector-max-class, selector-max-compound-selectors */
/* CSS for icons in status bar */
#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
fill: #fff;
}
#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
fill: var(--jp-brand-color1);
}
/* special handling for splash icon CSS. While the theme CSS reloads during
splash, the splash icon can loose theming. To prevent that, we set a
default for its color variable */
:root {
--jp-warn-color0: var(--md-orange-700);
}
/* not sure what to do with this one, used in filebrowser listing */
.jp-DragIcon {
margin-right: 4px;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/**
* Support for alt colors for icons as inline SVG HTMLElements
*/
/* alt recolor the primary elements of an icon */
.jp-icon-alt .jp-icon0[fill] {
fill: var(--jp-layout-color0);
}
.jp-icon-alt .jp-icon1[fill] {
fill: var(--jp-layout-color1);
}
.jp-icon-alt .jp-icon2[fill] {
fill: var(--jp-layout-color2);
}
.jp-icon-alt .jp-icon3[fill] {
fill: var(--jp-layout-color3);
}
.jp-icon-alt .jp-icon4[fill] {
fill: var(--jp-layout-color4);
}
.jp-icon-alt .jp-icon0[stroke] {
stroke: var(--jp-layout-color0);
}
.jp-icon-alt .jp-icon1[stroke] {
stroke: var(--jp-layout-color1);
}
.jp-icon-alt .jp-icon2[stroke] {
stroke: var(--jp-layout-color2);
}
.jp-icon-alt .jp-icon3[stroke] {
stroke: var(--jp-layout-color3);
}
.jp-icon-alt .jp-icon4[stroke] {
stroke: var(--jp-layout-color4);
}
/* alt recolor the accent elements of an icon */
.jp-icon-alt .jp-icon-accent0[fill] {
fill: var(--jp-inverse-layout-color0);
}
.jp-icon-alt .jp-icon-accent1[fill] {
fill: var(--jp-inverse-layout-color1);
}
.jp-icon-alt .jp-icon-accent2[fill] {
fill: var(--jp-inverse-layout-color2);
}
.jp-icon-alt .jp-icon-accent3[fill] {
fill: var(--jp-inverse-layout-color3);
}
.jp-icon-alt .jp-icon-accent4[fill] {
fill: var(--jp-inverse-layout-color4);
}
.jp-icon-alt .jp-icon-accent0[stroke] {
stroke: var(--jp-inverse-layout-color0);
}
.jp-icon-alt .jp-icon-accent1[stroke] {
stroke: var(--jp-inverse-layout-color1);
}
.jp-icon-alt .jp-icon-accent2[stroke] {
stroke: var(--jp-inverse-layout-color2);
}
.jp-icon-alt .jp-icon-accent3[stroke] {
stroke: var(--jp-inverse-layout-color3);
}
.jp-icon-alt .jp-icon-accent4[stroke] {
stroke: var(--jp-inverse-layout-color4);
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
display: none !important;
}
/**
* Support for hover colors for icons as inline SVG HTMLElements
*/
/**
* regular colors
*/
/* recolor the primary elements of an icon */
.jp-icon-hover :hover .jp-icon0-hover[fill] {
fill: var(--jp-inverse-layout-color0);
}
.jp-icon-hover :hover .jp-icon1-hover[fill] {
fill: var(--jp-inverse-layout-color1);
}
.jp-icon-hover :hover .jp-icon2-hover[fill] {
fill: var(--jp-inverse-layout-color2);
}
.jp-icon-hover :hover .jp-icon3-hover[fill] {
fill: var(--jp-inverse-layout-color3);
}
.jp-icon-hover :hover .jp-icon4-hover[fill] {
fill: var(--jp-inverse-layout-color4);
}
.jp-icon-hover :hover .jp-icon0-hover[stroke] {
stroke: var(--jp-inverse-layout-color0);
}
.jp-icon-hover :hover .jp-icon1-hover[stroke] {
stroke: var(--jp-inverse-layout-color1);
}
.jp-icon-hover :hover .jp-icon2-hover[stroke] {
stroke: var(--jp-inverse-layout-color2);
}
.jp-icon-hover :hover .jp-icon3-hover[stroke] {
stroke: var(--jp-inverse-layout-color3);
}
.jp-icon-hover :hover .jp-icon4-hover[stroke] {
stroke: var(--jp-inverse-layout-color4);
}
/* recolor the accent elements of an icon */
.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
fill: var(--jp-layout-color0);
}
.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
fill: var(--jp-layout-color1);
}
.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
fill: var(--jp-layout-color2);
}
.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
fill: var(--jp-layout-color3);
}
.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
fill: var(--jp-layout-color4);
}
.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
stroke: var(--jp-layout-color0);
}
.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
stroke: var(--jp-layout-color1);
}
.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
stroke: var(--jp-layout-color2);
}
.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
stroke: var(--jp-layout-color3);
}
.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
stroke: var(--jp-layout-color4);
}
/* set the color of an icon to transparent */
.jp-icon-hover :hover .jp-icon-none-hover[fill] {
fill: none;
}
.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
stroke: none;
}
/**
* inverse colors
*/
/* inverse recolor the primary elements of an icon */
.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
fill: var(--jp-layout-color0);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
fill: var(--jp-layout-color1);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
fill: var(--jp-layout-color2);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
fill: var(--jp-layout-color3);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
fill: var(--jp-layout-color4);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
stroke: var(--jp-layout-color0);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
stroke: var(--jp-layout-color1);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
stroke: var(--jp-layout-color2);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
stroke: var(--jp-layout-color3);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
stroke: var(--jp-layout-color4);
}
/* inverse recolor the accent elements of an icon */
.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
fill: var(--jp-inverse-layout-color0);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
fill: var(--jp-inverse-layout-color1);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
fill: var(--jp-inverse-layout-color2);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
fill: var(--jp-inverse-layout-color3);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
fill: var(--jp-inverse-layout-color4);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
stroke: var(--jp-inverse-layout-color0);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
stroke: var(--jp-inverse-layout-color1);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
stroke: var(--jp-inverse-layout-color2);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
stroke: var(--jp-inverse-layout-color3);
}
.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
stroke: var(--jp-inverse-layout-color4);
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-IFrame {
width: 100%;
height: 100%;
}
.jp-IFrame > iframe {
border: none;
}
/*
When drag events occur, `lm-mod-override-cursor` is added to the body.
Because iframes steal all cursor events, the following two rules are necessary
to suppress pointer events while resize drags are occurring. There may be a
better solution to this problem.
*/
body.lm-mod-override-cursor .jp-IFrame {
position: relative;
}
body.lm-mod-override-cursor .jp-IFrame::before {
content: '';
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: transparent;
}
/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2016, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-HoverBox {
position: fixed;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-FormGroup-content fieldset {
border: none;
padding: 0;
min-width: 0;
width: 100%;
}
/* stylelint-disable selector-max-type */
.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
font-size: var(--jp-content-font-size2);
border-color: var(--jp-input-border-color);
border-style: solid;
border-radius: var(--jp-border-radius);
border-width: 1px;
padding: 6px 8px;
background: none;
color: var(--jp-ui-font-color0);
height: inherit;
}
.jp-FormGroup-content fieldset input[type='checkbox'] {
position: relative;
top: 2px;
margin-left: 0;
}
.jp-FormGroup-content button.jp-mod-styled {
cursor: pointer;
}
.jp-FormGroup-content .checkbox label {
cursor: pointer;
font-size: var(--jp-content-font-size1);
}
.jp-FormGroup-content .jp-root > fieldset > legend {
display: none;
}
.jp-FormGroup-content .jp-root > fieldset > p {
display: none;
}
/** copy of `input.jp-mod-styled:focus` style */
.jp-FormGroup-content fieldset input:focus,
.jp-FormGroup-content fieldset select:focus {
-moz-outline-radius: unset;
outline: var(--jp-border-width) solid var(--md-blue-500);
outline-offset: -1px;
box-shadow: inset 0 0 4px var(--md-blue-300);
}
.jp-FormGroup-content fieldset input:hover:not(:focus),
.jp-FormGroup-content fieldset select:hover:not(:focus) {
background-color: var(--jp-border-color2);
}
/* stylelint-enable selector-max-type */
.jp-FormGroup-content .checkbox .field-description {
/* Disable default description field for checkbox:
because other widgets do not have description fields,
we add descriptions to each widget on the field level.
*/
display: none;
}
.jp-FormGroup-content #root__description {
display: none;
}
.jp-FormGroup-content .jp-modifiedIndicator {
width: 5px;
background-color: var(--jp-brand-color2);
margin-top: 0;
margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
flex-shrink: 0;
}
.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
background-color: var(--jp-error-color0);
margin-right: 0.5em;
}
/* RJSF ARRAY style */
.jp-arrayFieldWrapper legend {
font-size: var(--jp-content-font-size2);
color: var(--jp-ui-font-color0);
flex-basis: 100%;
padding: 4px 0;
font-weight: var(--jp-content-heading-font-weight);
border-bottom: 1px solid var(--jp-border-color2);
}
.jp-arrayFieldWrapper .field-description {
padding: 4px 0;
white-space: pre-wrap;
}
.jp-arrayFieldWrapper .array-item {
width: 100%;
border: 1px solid var(--jp-border-color2);
border-radius: 4px;
margin: 4px;
}
.jp-ArrayOperations {
display: flex;
margin-left: 8px;
}
.jp-ArrayOperationsButton {
margin: 2px;
}
.jp-ArrayOperationsButton .jp-icon3[fill] {
fill: var(--jp-ui-font-color0);
}
button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
cursor: not-allowed;
opacity: 0.5;
}
/* RJSF form validation error */
.jp-FormGroup-content .validationErrors {
color: var(--jp-error-color0);
}
/* Hide panel level error as duplicated the field level error */
.jp-FormGroup-content .panel.errors {
display: none;
}
/* RJSF normal content (settings-editor) */
.jp-FormGroup-contentNormal {
display: flex;
align-items: center;
flex-wrap: wrap;
}
.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
margin-left: 7px;
color: var(--jp-ui-font-color0);
}
.jp-FormGroup-contentNormal .jp-FormGroup-description {
flex-basis: 100%;
padding: 4px 7px;
}
.jp-FormGroup-contentNormal .jp-FormGroup-default {
flex-basis: 100%;
padding: 4px 7px;
}
.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
font-size: var(--jp-content-font-size1);
font-weight: normal;
min-width: 120px;
}
.jp-FormGroup-contentNormal fieldset:not(:first-child) {
margin-left: 7px;
}
.jp-FormGroup-contentNormal .field-array-of-string .array-item {
/* Display `jp-ArrayOperations` buttons side-by-side with content except
for small screens where flex-wrap will place them one below the other.
*/
display: flex;
align-items: center;
flex-wrap: wrap;
}
.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
margin-top: 2px;
}
/* RJSF compact content (metadata-form) */
.jp-FormGroup-content.jp-FormGroup-contentCompact {
width: 100%;
}
.jp-FormGroup-contentCompact .form-group {
display: flex;
padding: 0.5em 0.2em 0.5em 0;
}
.jp-FormGroup-contentCompact
.jp-FormGroup-compactTitle
.jp-FormGroup-description {
font-size: var(--jp-ui-font-size1);
color: var(--jp-ui-font-color2);
}
.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
padding-bottom: 0.3em;
}
.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
width: 100%;
box-sizing: border-box;
}
.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
padding-bottom: 7px;
}
.jp-FormGroup-contentCompact
.jp-objectFieldWrapper
.jp-objectFieldWrapper
.form-group {
padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
margin-top: 2px;
}
.jp-FormGroup-contentCompact ul.error-detail {
margin-block-start: 0.5em;
margin-block-end: 0.5em;
padding-inline-start: 1em;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
.jp-SidePanel {
display: flex;
flex-direction: column;
min-width: var(--jp-sidebar-min-width);
overflow-y: auto;
color: var(--jp-ui-font-color1);
background: var(--jp-layout-color1);
font-size: var(--jp-ui-font-size1);
}
.jp-SidePanel-header {
flex: 0 0 auto;
display: flex;
border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
font-size: var(--jp-ui-font-size0);
font-weight: 600;
letter-spacing: 1px;
margin: 0;
padding: 2px;
text-transform: uppercase;
}
.jp-SidePanel-toolbar {
flex: 0 0 auto;
}
.jp-SidePanel-content {
flex: 1 1 auto;
}
.jp-SidePanel-toolbar,
.jp-AccordionPanel-toolbar {
height: var(--jp-private-toolbar-height);
}
.jp-SidePanel-toolbar.jp-Toolbar-micro {
display: none;
}
.lm-AccordionPanel .jp-AccordionPanel-title {
box-sizing: border-box;
line-height: 25px;
margin: 0;
display: flex;
align-items: center;
background: var(--jp-layout-color1);
color: var(--jp-ui-font-color1);
border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
box-shadow: var(--jp-toolbar-box-shadow);
font-size: var(--jp-ui-font-size0);
}
.jp-AccordionPanel-title {
cursor: pointer;
user-select: none;
-moz-user-select: none;
-webkit-user-select: none;
text-transform: uppercase;
}
.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
/* Title is rotated for horizontal accordion panel using CSS */
display: block;
transform-origin: top left;
transform: rotate(-90deg) translate(-100%);
}
.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
user-select: none;
text-overflow: ellipsis;
white-space: nowrap;
overflow: hidden;
}
.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
transform: rotate(-90deg);
margin: auto 0;
height: 16px;
}
.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
transform: rotate(0deg);
}
.lm-AccordionPanel .jp-AccordionPanel-toolbar {
background: none;
box-shadow: none;
border: none;
margin-left: auto;
}
.lm-AccordionPanel .lm-SplitPanel-handle:hover {
background: var(--jp-layout-color3);
}
.jp-text-truncated {
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
/*-----------------------------------------------------------------------------
| Copyright (c) 2017, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-Spinner {
position: absolute;
display: flex;
justify-content: center;
align-items: center;
z-index: 10;
left: 0;
top: 0;
width: 100%;
height: 100%;
background: var(--jp-layout-color0);
outline: none;
}
.jp-SpinnerContent {
font-size: 10px;
margin: 50px auto;
text-indent: -9999em;
width: 3em;
height: 3em;
border-radius: 50%;
background: var(--jp-brand-color3);
background: linear-gradient(
to right,
#f37626 10%,
rgba(255, 255, 255, 0) 42%
);
position: relative;
animation: load3 1s infinite linear, fadeIn 1s;
}
.jp-SpinnerContent::before {
width: 50%;
height: 50%;
background: #f37626;
border-radius: 100% 0 0;
position: absolute;
top: 0;
left: 0;
content: '';
}
.jp-SpinnerContent::after {
background: var(--jp-layout-color0);
width: 75%;
height: 75%;
border-radius: 50%;
content: '';
margin: auto;
position: absolute;
top: 0;
left: 0;
bottom: 0;
right: 0;
}
@keyframes fadeIn {
0% {
opacity: 0;
}
100% {
opacity: 1;
}
}
@keyframes load3 {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2017, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
button.jp-mod-styled {
font-size: var(--jp-ui-font-size1);
color: var(--jp-ui-font-color0);
border: none;
box-sizing: border-box;
text-align: center;
line-height: 32px;
height: 32px;
padding: 0 12px;
letter-spacing: 0.8px;
outline: none;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
}
input.jp-mod-styled {
background: var(--jp-input-background);
height: 28px;
box-sizing: border-box;
border: var(--jp-border-width) solid var(--jp-border-color1);
padding-left: 7px;
padding-right: 7px;
font-size: var(--jp-ui-font-size2);
color: var(--jp-ui-font-color0);
outline: none;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
}
input[type='checkbox'].jp-mod-styled {
appearance: checkbox;
-webkit-appearance: checkbox;
-moz-appearance: checkbox;
height: auto;
}
input.jp-mod-styled:focus {
border: var(--jp-border-width) solid var(--md-blue-500);
box-shadow: inset 0 0 4px var(--md-blue-300);
}
.jp-select-wrapper {
display: flex;
position: relative;
flex-direction: column;
padding: 1px;
background-color: var(--jp-layout-color1);
box-sizing: border-box;
margin-bottom: 12px;
}
.jp-select-wrapper:not(.multiple) {
height: 28px;
}
.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
border: var(--jp-border-width) solid var(--jp-input-active-border-color);
box-shadow: var(--jp-input-box-shadow);
background-color: var(--jp-input-active-background);
}
select.jp-mod-styled:hover {
cursor: pointer;
color: var(--jp-ui-font-color0);
background-color: var(--jp-input-hover-background);
box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
}
select.jp-mod-styled {
flex: 1 1 auto;
width: 100%;
font-size: var(--jp-ui-font-size2);
background: var(--jp-input-background);
color: var(--jp-ui-font-color0);
padding: 0 25px 0 8px;
border: var(--jp-border-width) solid var(--jp-input-border-color);
border-radius: 0;
outline: none;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
}
select.jp-mod-styled:not([multiple]) {
height: 32px;
}
select.jp-mod-styled[multiple] {
max-height: 200px;
overflow-y: auto;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-switch {
display: flex;
align-items: center;
padding-left: 4px;
padding-right: 4px;
font-size: var(--jp-ui-font-size1);
background-color: transparent;
color: var(--jp-ui-font-color1);
border: none;
height: 20px;
}
.jp-switch:hover {
background-color: var(--jp-layout-color2);
}
.jp-switch-label {
margin-right: 5px;
font-family: var(--jp-ui-font-family);
}
.jp-switch-track {
cursor: pointer;
background-color: var(--jp-switch-color, var(--jp-border-color1));
-webkit-transition: 0.4s;
transition: 0.4s;
border-radius: 34px;
height: 16px;
width: 35px;
position: relative;
}
.jp-switch-track::before {
content: '';
position: absolute;
height: 10px;
width: 10px;
margin: 3px;
left: 0;
background-color: var(--jp-ui-inverse-font-color1);
-webkit-transition: 0.4s;
transition: 0.4s;
border-radius: 50%;
}
.jp-switch[aria-checked='true'] .jp-switch-track {
background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
}
.jp-switch[aria-checked='true'] .jp-switch-track::before {
/* track width (35) - margins (3 + 3) - thumb width (10) */
left: 19px;
}
/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2016, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
:root {
--jp-private-toolbar-height: calc(
28px + var(--jp-border-width)
); /* leave 28px for content */
}
.jp-Toolbar {
color: var(--jp-ui-font-color1);
flex: 0 0 auto;
display: flex;
flex-direction: row;
border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
box-shadow: var(--jp-toolbar-box-shadow);
background: var(--jp-toolbar-background);
min-height: var(--jp-toolbar-micro-height);
padding: 2px;
z-index: 8;
overflow-x: hidden;
}
/* Toolbar items */
.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
flex-grow: 1;
flex-shrink: 1;
}
.jp-Toolbar-item.jp-Toolbar-kernelStatus {
display: inline-block;
width: 32px;
background-repeat: no-repeat;
background-position: center;
background-size: 16px;
}
.jp-Toolbar > .jp-Toolbar-item {
flex: 0 0 auto;
display: flex;
padding-left: 1px;
padding-right: 1px;
font-size: var(--jp-ui-font-size1);
line-height: var(--jp-private-toolbar-height);
height: 100%;
}
/* Toolbar buttons */
/* This is the div we use to wrap the react component into a Widget */
div.jp-ToolbarButton {
color: transparent;
border: none;
box-sizing: border-box;
outline: none;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
padding: 0;
margin: 0;
}
button.jp-ToolbarButtonComponent {
background: var(--jp-layout-color1);
border: none;
box-sizing: border-box;
outline: none;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
padding: 0 6px;
margin: 0;
height: 24px;
border-radius: var(--jp-border-radius);
display: flex;
align-items: center;
text-align: center;
font-size: 14px;
min-width: unset;
min-height: unset;
}
button.jp-ToolbarButtonComponent:disabled {
opacity: 0.4;
}
button.jp-ToolbarButtonComponent > span {
padding: 0;
flex: 0 0 auto;
}
button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
font-size: var(--jp-ui-font-size1);
line-height: 100%;
padding-left: 2px;
color: var(--jp-ui-font-color1);
font-family: var(--jp-ui-font-family);
}
#jp-main-dock-panel[data-mode='single-document']
.jp-MainAreaWidget
> .jp-Toolbar.jp-Toolbar-micro {
padding: 0;
min-height: 0;
}
#jp-main-dock-panel[data-mode='single-document']
.jp-MainAreaWidget
> .jp-Toolbar {
border: none;
box-shadow: none;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
.jp-WindowedPanel-outer {
position: relative;
overflow-y: auto;
}
.jp-WindowedPanel-inner {
position: relative;
}
.jp-WindowedPanel-window {
position: absolute;
left: 0;
right: 0;
overflow: visible;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/* Sibling imports */
body {
color: var(--jp-ui-font-color1);
font-size: var(--jp-ui-font-size1);
}
/* Disable native link decoration styles everywhere outside of dialog boxes */
a {
text-decoration: unset;
color: unset;
}
a:hover {
text-decoration: unset;
color: unset;
}
/* Accessibility for links inside dialog box text */
.jp-Dialog-content a {
text-decoration: revert;
color: var(--jp-content-link-color);
}
.jp-Dialog-content a:hover {
text-decoration: revert;
}
/* Styles for ui-components */
.jp-Button {
color: var(--jp-ui-font-color2);
border-radius: var(--jp-border-radius);
padding: 0 12px;
font-size: var(--jp-ui-font-size1);
/* Copy from blueprint 3 */
display: inline-flex;
flex-direction: row;
border: none;
cursor: pointer;
align-items: center;
justify-content: center;
text-align: left;
vertical-align: middle;
min-height: 30px;
min-width: 30px;
}
.jp-Button:disabled {
cursor: not-allowed;
}
.jp-Button:empty {
padding: 0 !important;
}
.jp-Button.jp-mod-small {
min-height: 24px;
min-width: 24px;
font-size: 12px;
padding: 0 7px;
}
/* Use our own theme for hover styles */
.jp-Button.jp-mod-minimal:hover {
background-color: var(--jp-layout-color2);
}
.jp-Button.jp-mod-minimal {
background: none;
}
.jp-InputGroup {
display: block;
position: relative;
}
.jp-InputGroup input {
box-sizing: border-box;
border: none;
border-radius: 0;
background-color: transparent;
color: var(--jp-ui-font-color0);
box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
padding-bottom: 0;
padding-top: 0;
padding-left: 10px;
padding-right: 28px;
position: relative;
width: 100%;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
font-size: 14px;
font-weight: 400;
height: 30px;
line-height: 30px;
outline: none;
vertical-align: middle;
}
.jp-InputGroup input:focus {
box-shadow: inset 0 0 0 var(--jp-border-width)
var(--jp-input-active-box-shadow-color),
inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
}
.jp-InputGroup input:disabled {
cursor: not-allowed;
resize: block;
background-color: var(--jp-layout-color2);
color: var(--jp-ui-font-color2);
}
.jp-InputGroup input:disabled ~ span {
cursor: not-allowed;
color: var(--jp-ui-font-color2);
}
.jp-InputGroup input::placeholder,
input::placeholder {
color: var(--jp-ui-font-color2);
}
.jp-InputGroupAction {
position: absolute;
bottom: 1px;
right: 0;
padding: 6px;
}
.jp-HTMLSelect.jp-DefaultStyle select {
background-color: initial;
border: none;
border-radius: 0;
box-shadow: none;
color: var(--jp-ui-font-color0);
display: block;
font-size: var(--jp-ui-font-size1);
font-family: var(--jp-ui-font-family);
height: 24px;
line-height: 14px;
padding: 0 25px 0 10px;
text-align: left;
-moz-appearance: none;
-webkit-appearance: none;
}
.jp-HTMLSelect.jp-DefaultStyle select:disabled {
background-color: var(--jp-layout-color2);
color: var(--jp-ui-font-color2);
cursor: not-allowed;
resize: block;
}
.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
cursor: not-allowed;
}
/* Use our own theme for hover and option styles */
/* stylelint-disable-next-line selector-max-type */
.jp-HTMLSelect.jp-DefaultStyle select:hover,
.jp-HTMLSelect.jp-DefaultStyle select > option {
background-color: var(--jp-layout-color2);
color: var(--jp-ui-font-color0);
}
select {
box-sizing: border-box;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Styles
|----------------------------------------------------------------------------*/
.jp-StatusBar-Widget {
display: flex;
align-items: center;
background: var(--jp-layout-color2);
min-height: var(--jp-statusbar-height);
justify-content: space-between;
padding: 0 10px;
}
.jp-StatusBar-Left {
display: flex;
align-items: center;
flex-direction: row;
}
.jp-StatusBar-Middle {
display: flex;
align-items: center;
}
.jp-StatusBar-Right {
display: flex;
align-items: center;
flex-direction: row-reverse;
}
.jp-StatusBar-Item {
max-height: var(--jp-statusbar-height);
margin: 0 2px;
height: var(--jp-statusbar-height);
white-space: nowrap;
text-overflow: ellipsis;
color: var(--jp-ui-font-color1);
padding: 0 6px;
}
.jp-mod-highlighted:hover {
background-color: var(--jp-layout-color3);
}
.jp-mod-clicked {
background-color: var(--jp-brand-color1);
}
.jp-mod-clicked:hover {
background-color: var(--jp-brand-color0);
}
.jp-mod-clicked .jp-StatusBar-TextItem {
color: var(--jp-ui-inverse-font-color1);
}
.jp-StatusBar-HoverItem {
box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
}
.jp-StatusBar-TextItem {
font-size: var(--jp-ui-font-size1);
font-family: var(--jp-ui-font-family);
line-height: 24px;
color: var(--jp-ui-font-color1);
}
.jp-StatusBar-GroupItem {
display: flex;
align-items: center;
flex-direction: row;
}
.jp-Statusbar-ProgressCircle svg {
display: block;
margin: 0 auto;
width: 16px;
height: 24px;
align-self: normal;
}
.jp-Statusbar-ProgressCircle path {
fill: var(--jp-inverse-layout-color3);
}
.jp-Statusbar-ProgressBar-progress-bar {
height: 10px;
width: 100px;
border: solid 0.25px var(--jp-brand-color2);
border-radius: 3px;
overflow: hidden;
align-self: center;
}
.jp-Statusbar-ProgressBar-progress-bar > div {
background-color: var(--jp-brand-color2);
background-image: linear-gradient(
-45deg,
rgba(255, 255, 255, 0.2) 25%,
transparent 25%,
transparent 50%,
rgba(255, 255, 255, 0.2) 50%,
rgba(255, 255, 255, 0.2) 75%,
transparent 75%,
transparent
);
background-size: 40px 40px;
float: left;
width: 0%;
height: 100%;
font-size: 12px;
line-height: 14px;
color: #fff;
text-align: center;
animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
}
.jp-Statusbar-ProgressBar-progress-bar p {
color: var(--jp-ui-font-color1);
font-family: var(--jp-ui-font-family);
font-size: var(--jp-ui-font-size1);
line-height: 10px;
width: 100px;
}
@keyframes jp-Statusbar-ExecutionTime-progress-bar {
0% {
background-position: 0 0;
}
100% {
background-position: 40px 40px;
}
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Variables
|----------------------------------------------------------------------------*/
:root {
--jp-private-commandpalette-search-height: 28px;
}
/*-----------------------------------------------------------------------------
| Overall styles
|----------------------------------------------------------------------------*/
.lm-CommandPalette {
padding-bottom: 0;
color: var(--jp-ui-font-color1);
background: var(--jp-layout-color1);
/* This is needed so that all font sizing of children done in ems is
* relative to this base size */
font-size: var(--jp-ui-font-size1);
}
/*-----------------------------------------------------------------------------
| Modal variant
|----------------------------------------------------------------------------*/
.jp-ModalCommandPalette {
position: absolute;
z-index: 10000;
top: 38px;
left: 30%;
margin: 0;
padding: 4px;
width: 40%;
box-shadow: var(--jp-elevation-z4);
border-radius: 4px;
background: var(--jp-layout-color0);
}
.jp-ModalCommandPalette .lm-CommandPalette {
max-height: 40vh;
}
.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
display: none;
}
.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
display: none;
}
.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
margin-left: 4px;
margin-right: 4px;
}
.jp-ModalCommandPalette
.lm-CommandPalette
.lm-CommandPalette-item.lm-mod-disabled {
display: none;
}
/*-----------------------------------------------------------------------------
| Search
|----------------------------------------------------------------------------*/
.lm-CommandPalette-search {
padding: 4px;
background-color: var(--jp-layout-color1);
z-index: 2;
}
.lm-CommandPalette-wrapper {
overflow: overlay;
padding: 0 9px;
background-color: var(--jp-input-active-background);
height: 30px;
box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
}
.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
}
.jp-SearchIconGroup {
color: white;
background-color: var(--jp-brand-color1);
position: absolute;
top: 4px;
right: 4px;
padding: 5px 5px 1px;
}
.jp-SearchIconGroup svg {
height: 20px;
width: 20px;
}
.jp-SearchIconGroup .jp-icon3[fill] {
fill: var(--jp-layout-color0);
}
.lm-CommandPalette-input {
background: transparent;
width: calc(100% - 18px);
float: left;
border: none;
outline: none;
font-size: var(--jp-ui-font-size1);
color: var(--jp-ui-font-color0);
line-height: var(--jp-private-commandpalette-search-height);
}
.lm-CommandPalette-input::-webkit-input-placeholder,
.lm-CommandPalette-input::-moz-placeholder,
.lm-CommandPalette-input:-ms-input-placeholder {
color: var(--jp-ui-font-color2);
font-size: var(--jp-ui-font-size1);
}
/*-----------------------------------------------------------------------------
| Results
|----------------------------------------------------------------------------*/
.lm-CommandPalette-header:first-child {
margin-top: 0;
}
.lm-CommandPalette-header {
border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
color: var(--jp-ui-font-color1);
cursor: pointer;
display: flex;
font-size: var(--jp-ui-font-size0);
font-weight: 600;
letter-spacing: 1px;
margin-top: 8px;
padding: 8px 0 8px 12px;
text-transform: uppercase;
}
.lm-CommandPalette-header.lm-mod-active {
background: var(--jp-layout-color2);
}
.lm-CommandPalette-header > mark {
background-color: transparent;
font-weight: bold;
color: var(--jp-ui-font-color1);
}
.lm-CommandPalette-item {
padding: 4px 12px 4px 4px;
color: var(--jp-ui-font-color1);
font-size: var(--jp-ui-font-size1);
font-weight: 400;
display: flex;
}
.lm-CommandPalette-item.lm-mod-disabled {
color: var(--jp-ui-font-color2);
}
.lm-CommandPalette-item.lm-mod-active {
color: var(--jp-ui-inverse-font-color1);
background: var(--jp-brand-color1);
}
.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
color: var(--jp-ui-inverse-font-color0);
}
.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
fill: var(--jp-layout-color0);
}
.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
color: var(--jp-ui-inverse-font-color1);
background: var(--jp-brand-color1);
}
.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
background: var(--jp-layout-color2);
}
.lm-CommandPalette-itemContent {
overflow: hidden;
}
.lm-CommandPalette-itemLabel > mark {
color: var(--jp-ui-font-color0);
background-color: transparent;
font-weight: bold;
}
.lm-CommandPalette-item.lm-mod-disabled mark {
color: var(--jp-ui-font-color2);
}
.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
margin: 0 4px 0 0;
position: relative;
width: 16px;
top: 2px;
flex: 0 0 auto;
}
.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
opacity: 0.6;
}
.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
flex: 0 0 auto;
}
.lm-CommandPalette-itemCaption {
display: none;
}
.lm-CommandPalette-content {
background-color: var(--jp-layout-color1);
}
.lm-CommandPalette-content:empty::after {
content: 'No results';
margin: auto;
margin-top: 20px;
width: 100px;
display: block;
font-size: var(--jp-ui-font-size2);
font-family: var(--jp-ui-font-family);
font-weight: lighter;
}
.lm-CommandPalette-emptyMessage {
text-align: center;
margin-top: 24px;
line-height: 1.32;
padding: 0 8px;
color: var(--jp-content-font-color3);
}
/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2017, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-Dialog {
position: absolute;
z-index: 10000;
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
top: 0;
left: 0;
margin: 0;
padding: 0;
width: 100%;
height: 100%;
background: var(--jp-dialog-background);
}
.jp-Dialog-content {
display: flex;
flex-direction: column;
margin-left: auto;
margin-right: auto;
background: var(--jp-layout-color1);
padding: 24px 24px 12px;
min-width: 300px;
min-height: 150px;
max-width: 1000px;
max-height: 500px;
box-sizing: border-box;
box-shadow: var(--jp-elevation-z20);
word-wrap: break-word;
border-radius: var(--jp-border-radius);
/* This is needed so that all font sizing of children done in ems is
* relative to this base size */
font-size: var(--jp-ui-font-size1);
color: var(--jp-ui-font-color1);
resize: both;
}
.jp-Dialog-content.jp-Dialog-content-small {
max-width: 500px;
}
.jp-Dialog-button {
overflow: visible;
}
button.jp-Dialog-button:focus {
outline: 1px solid var(--jp-brand-color1);
outline-offset: 4px;
-moz-outline-radius: 0;
}
button.jp-Dialog-button:focus::-moz-focus-inner {
border: 0;
}
button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
outline-offset: 4px;
-moz-outline-radius: 0;
}
button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
}
button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
}
button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
}
button.jp-Dialog-close-button {
padding: 0;
height: 100%;
min-width: unset;
min-height: unset;
}
.jp-Dialog-header {
display: flex;
justify-content: space-between;
flex: 0 0 auto;
padding-bottom: 12px;
font-size: var(--jp-ui-font-size3);
font-weight: 400;
color: var(--jp-ui-font-color1);
}
.jp-Dialog-body {
display: flex;
flex-direction: column;
flex: 1 1 auto;
font-size: var(--jp-ui-font-size1);
background: var(--jp-layout-color1);
color: var(--jp-ui-font-color1);
overflow: auto;
}
.jp-Dialog-footer {
display: flex;
flex-direction: row;
justify-content: flex-end;
align-items: center;
flex: 0 0 auto;
margin-left: -12px;
margin-right: -12px;
padding: 12px;
}
.jp-Dialog-checkbox {
padding-right: 5px;
}
.jp-Dialog-checkbox > input:focus-visible {
outline: 1px solid var(--jp-input-active-border-color);
outline-offset: 1px;
}
.jp-Dialog-spacer {
flex: 1 1 auto;
}
.jp-Dialog-title {
overflow: hidden;
white-space: nowrap;
text-overflow: ellipsis;
}
.jp-Dialog-body > .jp-select-wrapper {
width: 100%;
}
.jp-Dialog-body > button {
padding: 0 16px;
}
.jp-Dialog-body > label {
line-height: 1.4;
color: var(--jp-ui-font-color0);
}
.jp-Dialog-button.jp-mod-styled:not(:last-child) {
margin-right: 12px;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
.jp-Input-Boolean-Dialog {
flex-direction: row-reverse;
align-items: end;
width: 100%;
}
.jp-Input-Boolean-Dialog > label {
flex: 1 1 auto;
}
/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2016, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-MainAreaWidget > :focus {
outline: none;
}
.jp-MainAreaWidget .jp-MainAreaWidget-error {
padding: 6px;
}
.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
width: auto;
padding: 10px;
background: var(--jp-error-color3);
border: var(--jp-border-width) solid var(--jp-error-color1);
border-radius: var(--jp-border-radius);
color: var(--jp-ui-font-color1);
font-size: var(--jp-ui-font-size1);
white-space: pre-wrap;
word-wrap: break-word;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/**
* google-material-color v1.2.6
* https://github.com/danlevan/google-material-color
*/
:root {
--md-red-50: #ffebee;
--md-red-100: #ffcdd2;
--md-red-200: #ef9a9a;
--md-red-300: #e57373;
--md-red-400: #ef5350;
--md-red-500: #f44336;
--md-red-600: #e53935;
--md-red-700: #d32f2f;
--md-red-800: #c62828;
--md-red-900: #b71c1c;
--md-red-A100: #ff8a80;
--md-red-A200: #ff5252;
--md-red-A400: #ff1744;
--md-red-A700: #d50000;
--md-pink-50: #fce4ec;
--md-pink-100: #f8bbd0;
--md-pink-200: #f48fb1;
--md-pink-300: #f06292;
--md-pink-400: #ec407a;
--md-pink-500: #e91e63;
--md-pink-600: #d81b60;
--md-pink-700: #c2185b;
--md-pink-800: #ad1457;
--md-pink-900: #880e4f;
--md-pink-A100: #ff80ab;
--md-pink-A200: #ff4081;
--md-pink-A400: #f50057;
--md-pink-A700: #c51162;
--md-purple-50: #f3e5f5;
--md-purple-100: #e1bee7;
--md-purple-200: #ce93d8;
--md-purple-300: #ba68c8;
--md-purple-400: #ab47bc;
--md-purple-500: #9c27b0;
--md-purple-600: #8e24aa;
--md-purple-700: #7b1fa2;
--md-purple-800: #6a1b9a;
--md-purple-900: #4a148c;
--md-purple-A100: #ea80fc;
--md-purple-A200: #e040fb;
--md-purple-A400: #d500f9;
--md-purple-A700: #a0f;
--md-deep-purple-50: #ede7f6;
--md-deep-purple-100: #d1c4e9;
--md-deep-purple-200: #b39ddb;
--md-deep-purple-300: #9575cd;
--md-deep-purple-400: #7e57c2;
--md-deep-purple-500: #673ab7;
--md-deep-purple-600: #5e35b1;
--md-deep-purple-700: #512da8;
--md-deep-purple-800: #4527a0;
--md-deep-purple-900: #311b92;
--md-deep-purple-A100: #b388ff;
--md-deep-purple-A200: #7c4dff;
--md-deep-purple-A400: #651fff;
--md-deep-purple-A700: #6200ea;
--md-indigo-50: #e8eaf6;
--md-indigo-100: #c5cae9;
--md-indigo-200: #9fa8da;
--md-indigo-300: #7986cb;
--md-indigo-400: #5c6bc0;
--md-indigo-500: #3f51b5;
--md-indigo-600: #3949ab;
--md-indigo-700: #303f9f;
--md-indigo-800: #283593;
--md-indigo-900: #1a237e;
--md-indigo-A100: #8c9eff;
--md-indigo-A200: #536dfe;
--md-indigo-A400: #3d5afe;
--md-indigo-A700: #304ffe;
--md-blue-50: #e3f2fd;
--md-blue-100: #bbdefb;
--md-blue-200: #90caf9;
--md-blue-300: #64b5f6;
--md-blue-400: #42a5f5;
--md-blue-500: #2196f3;
--md-blue-600: #1e88e5;
--md-blue-700: #1976d2;
--md-blue-800: #1565c0;
--md-blue-900: #0d47a1;
--md-blue-A100: #82b1ff;
--md-blue-A200: #448aff;
--md-blue-A400: #2979ff;
--md-blue-A700: #2962ff;
--md-light-blue-50: #e1f5fe;
--md-light-blue-100: #b3e5fc;
--md-light-blue-200: #81d4fa;
--md-light-blue-300: #4fc3f7;
--md-light-blue-400: #29b6f6;
--md-light-blue-500: #03a9f4;
--md-light-blue-600: #039be5;
--md-light-blue-700: #0288d1;
--md-light-blue-800: #0277bd;
--md-light-blue-900: #01579b;
--md-light-blue-A100: #80d8ff;
--md-light-blue-A200: #40c4ff;
--md-light-blue-A400: #00b0ff;
--md-light-blue-A700: #0091ea;
--md-cyan-50: #e0f7fa;
--md-cyan-100: #b2ebf2;
--md-cyan-200: #80deea;
--md-cyan-300: #4dd0e1;
--md-cyan-400: #26c6da;
--md-cyan-500: #00bcd4;
--md-cyan-600: #00acc1;
--md-cyan-700: #0097a7;
--md-cyan-800: #00838f;
--md-cyan-900: #006064;
--md-cyan-A100: #84ffff;
--md-cyan-A200: #18ffff;
--md-cyan-A400: #00e5ff;
--md-cyan-A700: #00b8d4;
--md-teal-50: #e0f2f1;
--md-teal-100: #b2dfdb;
--md-teal-200: #80cbc4;
--md-teal-300: #4db6ac;
--md-teal-400: #26a69a;
--md-teal-500: #009688;
--md-teal-600: #00897b;
--md-teal-700: #00796b;
--md-teal-800: #00695c;
--md-teal-900: #004d40;
--md-teal-A100: #a7ffeb;
--md-teal-A200: #64ffda;
--md-teal-A400: #1de9b6;
--md-teal-A700: #00bfa5;
--md-green-50: #e8f5e9;
--md-green-100: #c8e6c9;
--md-green-200: #a5d6a7;
--md-green-300: #81c784;
--md-green-400: #66bb6a;
--md-green-500: #4caf50;
--md-green-600: #43a047;
--md-green-700: #388e3c;
--md-green-800: #2e7d32;
--md-green-900: #1b5e20;
--md-green-A100: #b9f6ca;
--md-green-A200: #69f0ae;
--md-green-A400: #00e676;
--md-green-A700: #00c853;
--md-light-green-50: #f1f8e9;
--md-light-green-100: #dcedc8;
--md-light-green-200: #c5e1a5;
--md-light-green-300: #aed581;
--md-light-green-400: #9ccc65;
--md-light-green-500: #8bc34a;
--md-light-green-600: #7cb342;
--md-light-green-700: #689f38;
--md-light-green-800: #558b2f;
--md-light-green-900: #33691e;
--md-light-green-A100: #ccff90;
--md-light-green-A200: #b2ff59;
--md-light-green-A400: #76ff03;
--md-light-green-A700: #64dd17;
--md-lime-50: #f9fbe7;
--md-lime-100: #f0f4c3;
--md-lime-200: #e6ee9c;
--md-lime-300: #dce775;
--md-lime-400: #d4e157;
--md-lime-500: #cddc39;
--md-lime-600: #c0ca33;
--md-lime-700: #afb42b;
--md-lime-800: #9e9d24;
--md-lime-900: #827717;
--md-lime-A100: #f4ff81;
--md-lime-A200: #eeff41;
--md-lime-A400: #c6ff00;
--md-lime-A700: #aeea00;
--md-yellow-50: #fffde7;
--md-yellow-100: #fff9c4;
--md-yellow-200: #fff59d;
--md-yellow-300: #fff176;
--md-yellow-400: #ffee58;
--md-yellow-500: #ffeb3b;
--md-yellow-600: #fdd835;
--md-yellow-700: #fbc02d;
--md-yellow-800: #f9a825;
--md-yellow-900: #f57f17;
--md-yellow-A100: #ffff8d;
--md-yellow-A200: #ff0;
--md-yellow-A400: #ffea00;
--md-yellow-A700: #ffd600;
--md-amber-50: #fff8e1;
--md-amber-100: #ffecb3;
--md-amber-200: #ffe082;
--md-amber-300: #ffd54f;
--md-amber-400: #ffca28;
--md-amber-500: #ffc107;
--md-amber-600: #ffb300;
--md-amber-700: #ffa000;
--md-amber-800: #ff8f00;
--md-amber-900: #ff6f00;
--md-amber-A100: #ffe57f;
--md-amber-A200: #ffd740;
--md-amber-A400: #ffc400;
--md-amber-A700: #ffab00;
--md-orange-50: #fff3e0;
--md-orange-100: #ffe0b2;
--md-orange-200: #ffcc80;
--md-orange-300: #ffb74d;
--md-orange-400: #ffa726;
--md-orange-500: #ff9800;
--md-orange-600: #fb8c00;
--md-orange-700: #f57c00;
--md-orange-800: #ef6c00;
--md-orange-900: #e65100;
--md-orange-A100: #ffd180;
--md-orange-A200: #ffab40;
--md-orange-A400: #ff9100;
--md-orange-A700: #ff6d00;
--md-deep-orange-50: #fbe9e7;
--md-deep-orange-100: #ffccbc;
--md-deep-orange-200: #ffab91;
--md-deep-orange-300: #ff8a65;
--md-deep-orange-400: #ff7043;
--md-deep-orange-500: #ff5722;
--md-deep-orange-600: #f4511e;
--md-deep-orange-700: #e64a19;
--md-deep-orange-800: #d84315;
--md-deep-orange-900: #bf360c;
--md-deep-orange-A100: #ff9e80;
--md-deep-orange-A200: #ff6e40;
--md-deep-orange-A400: #ff3d00;
--md-deep-orange-A700: #dd2c00;
--md-brown-50: #efebe9;
--md-brown-100: #d7ccc8;
--md-brown-200: #bcaaa4;
--md-brown-300: #a1887f;
--md-brown-400: #8d6e63;
--md-brown-500: #795548;
--md-brown-600: #6d4c41;
--md-brown-700: #5d4037;
--md-brown-800: #4e342e;
--md-brown-900: #3e2723;
--md-grey-50: #fafafa;
--md-grey-100: #f5f5f5;
--md-grey-200: #eee;
--md-grey-300: #e0e0e0;
--md-grey-400: #bdbdbd;
--md-grey-500: #9e9e9e;
--md-grey-600: #757575;
--md-grey-700: #616161;
--md-grey-800: #424242;
--md-grey-900: #212121;
--md-blue-grey-50: #eceff1;
--md-blue-grey-100: #cfd8dc;
--md-blue-grey-200: #b0bec5;
--md-blue-grey-300: #90a4ae;
--md-blue-grey-400: #78909c;
--md-blue-grey-500: #607d8b;
--md-blue-grey-600: #546e7a;
--md-blue-grey-700: #455a64;
--md-blue-grey-800: #37474f;
--md-blue-grey-900: #263238;
}
/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2017, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| RenderedText
|----------------------------------------------------------------------------*/
:root {
/* This is the padding value to fill the gaps between lines containing spans with background color. */
--jp-private-code-span-padding: calc(
(var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
);
}
.jp-RenderedText {
text-align: left;
padding-left: var(--jp-code-padding);
line-height: var(--jp-code-line-height);
font-family: var(--jp-code-font-family);
}
.jp-RenderedText pre,
.jp-RenderedJavaScript pre,
.jp-RenderedHTMLCommon pre {
color: var(--jp-content-font-color1);
font-size: var(--jp-code-font-size);
border: none;
margin: 0;
padding: 0;
}
.jp-RenderedText pre a:link {
text-decoration: none;
color: var(--jp-content-link-color);
}
.jp-RenderedText pre a:hover {
text-decoration: underline;
color: var(--jp-content-link-color);
}
.jp-RenderedText pre a:visited {
text-decoration: none;
color: var(--jp-content-link-color);
}
/* console foregrounds and backgrounds */
.jp-RenderedText pre .ansi-black-fg {
color: #3e424d;
}
.jp-RenderedText pre .ansi-red-fg {
color: #e75c58;
}
.jp-RenderedText pre .ansi-green-fg {
color: #00a250;
}
.jp-RenderedText pre .ansi-yellow-fg {
color: #ddb62b;
}
.jp-RenderedText pre .ansi-blue-fg {
color: #208ffb;
}
.jp-RenderedText pre .ansi-magenta-fg {
color: #d160c4;
}
.jp-RenderedText pre .ansi-cyan-fg {
color: #60c6c8;
}
.jp-RenderedText pre .ansi-white-fg {
color: #c5c1b4;
}
.jp-RenderedText pre .ansi-black-bg {
background-color: #3e424d;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-red-bg {
background-color: #e75c58;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-green-bg {
background-color: #00a250;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-yellow-bg {
background-color: #ddb62b;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-blue-bg {
background-color: #208ffb;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-magenta-bg {
background-color: #d160c4;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-cyan-bg {
background-color: #60c6c8;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-white-bg {
background-color: #c5c1b4;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-black-intense-fg {
color: #282c36;
}
.jp-RenderedText pre .ansi-red-intense-fg {
color: #b22b31;
}
.jp-RenderedText pre .ansi-green-intense-fg {
color: #007427;
}
.jp-RenderedText pre .ansi-yellow-intense-fg {
color: #b27d12;
}
.jp-RenderedText pre .ansi-blue-intense-fg {
color: #0065ca;
}
.jp-RenderedText pre .ansi-magenta-intense-fg {
color: #a03196;
}
.jp-RenderedText pre .ansi-cyan-intense-fg {
color: #258f8f;
}
.jp-RenderedText pre .ansi-white-intense-fg {
color: #a1a6b2;
}
.jp-RenderedText pre .ansi-black-intense-bg {
background-color: #282c36;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-red-intense-bg {
background-color: #b22b31;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-green-intense-bg {
background-color: #007427;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-yellow-intense-bg {
background-color: #b27d12;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-blue-intense-bg {
background-color: #0065ca;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-magenta-intense-bg {
background-color: #a03196;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-cyan-intense-bg {
background-color: #258f8f;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-white-intense-bg {
background-color: #a1a6b2;
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-default-inverse-fg {
color: var(--jp-ui-inverse-font-color0);
}
.jp-RenderedText pre .ansi-default-inverse-bg {
background-color: var(--jp-inverse-layout-color0);
padding: var(--jp-private-code-span-padding) 0;
}
.jp-RenderedText pre .ansi-bold {
font-weight: bold;
}
.jp-RenderedText pre .ansi-underline {
text-decoration: underline;
}
.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
background: var(--jp-rendermime-error-background);
padding-top: var(--jp-code-padding);
}
/*-----------------------------------------------------------------------------
| RenderedLatex
|----------------------------------------------------------------------------*/
.jp-RenderedLatex {
color: var(--jp-content-font-color1);
font-size: var(--jp-content-font-size1);
line-height: var(--jp-content-line-height);
}
/* Left-justify outputs.*/
.jp-OutputArea-output.jp-RenderedLatex {
padding: var(--jp-code-padding);
text-align: left;
}
/*-----------------------------------------------------------------------------
| RenderedHTML
|----------------------------------------------------------------------------*/
.jp-RenderedHTMLCommon {
color: var(--jp-content-font-color1);
font-family: var(--jp-content-font-family);
font-size: var(--jp-content-font-size1);
line-height: var(--jp-content-line-height);
/* Give a bit more R padding on Markdown text to keep line lengths reasonable */
padding-right: 20px;
}
.jp-RenderedHTMLCommon em {
font-style: italic;
}
.jp-RenderedHTMLCommon strong {
font-weight: bold;
}
.jp-RenderedHTMLCommon u {
text-decoration: underline;
}
.jp-RenderedHTMLCommon a:link {
text-decoration: none;
color: var(--jp-content-link-color);
}
.jp-RenderedHTMLCommon a:hover {
text-decoration: underline;
color: var(--jp-content-link-color);
}
.jp-RenderedHTMLCommon a:visited {
text-decoration: none;
color: var(--jp-content-link-color);
}
/* Headings */
.jp-RenderedHTMLCommon h1,
.jp-RenderedHTMLCommon h2,
.jp-RenderedHTMLCommon h3,
.jp-RenderedHTMLCommon h4,
.jp-RenderedHTMLCommon h5,
.jp-RenderedHTMLCommon h6 {
line-height: var(--jp-content-heading-line-height);
font-weight: var(--jp-content-heading-font-weight);
font-style: normal;
margin: var(--jp-content-heading-margin-top) 0
var(--jp-content-heading-margin-bottom) 0;
}
.jp-RenderedHTMLCommon h1:first-child,
.jp-RenderedHTMLCommon h2:first-child,
.jp-RenderedHTMLCommon h3:first-child,
.jp-RenderedHTMLCommon h4:first-child,
.jp-RenderedHTMLCommon h5:first-child,
.jp-RenderedHTMLCommon h6:first-child {
margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
}
.jp-RenderedHTMLCommon h1:last-child,
.jp-RenderedHTMLCommon h2:last-child,
.jp-RenderedHTMLCommon h3:last-child,
.jp-RenderedHTMLCommon h4:last-child,
.jp-RenderedHTMLCommon h5:last-child,
.jp-RenderedHTMLCommon h6:last-child {
margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
}
.jp-RenderedHTMLCommon h1 {
font-size: var(--jp-content-font-size5);
}
.jp-RenderedHTMLCommon h2 {
font-size: var(--jp-content-font-size4);
}
.jp-RenderedHTMLCommon h3 {
font-size: var(--jp-content-font-size3);
}
.jp-RenderedHTMLCommon h4 {
font-size: var(--jp-content-font-size2);
}
.jp-RenderedHTMLCommon h5 {
font-size: var(--jp-content-font-size1);
}
.jp-RenderedHTMLCommon h6 {
font-size: var(--jp-content-font-size0);
}
/* Lists */
/* stylelint-disable selector-max-type, selector-max-compound-selectors */
.jp-RenderedHTMLCommon ul:not(.list-inline),
.jp-RenderedHTMLCommon ol:not(.list-inline) {
padding-left: 2em;
}
.jp-RenderedHTMLCommon ul {
list-style: disc;
}
.jp-RenderedHTMLCommon ul ul {
list-style: square;
}
.jp-RenderedHTMLCommon ul ul ul {
list-style: circle;
}
.jp-RenderedHTMLCommon ol {
list-style: decimal;
}
.jp-RenderedHTMLCommon ol ol {
list-style: upper-alpha;
}
.jp-RenderedHTMLCommon ol ol ol {
list-style: lower-alpha;
}
.jp-RenderedHTMLCommon ol ol ol ol {
list-style: lower-roman;
}
.jp-RenderedHTMLCommon ol ol ol ol ol {
list-style: decimal;
}
.jp-RenderedHTMLCommon ol,
.jp-RenderedHTMLCommon ul {
margin-bottom: 1em;
}
.jp-RenderedHTMLCommon ul ul,
.jp-RenderedHTMLCommon ul ol,
.jp-RenderedHTMLCommon ol ul,
.jp-RenderedHTMLCommon ol ol {
margin-bottom: 0;
}
/* stylelint-enable selector-max-type, selector-max-compound-selectors */
.jp-RenderedHTMLCommon hr {
color: var(--jp-border-color2);
background-color: var(--jp-border-color1);
margin-top: 1em;
margin-bottom: 1em;
}
.jp-RenderedHTMLCommon > pre {
margin: 1.5em 2em;
}
.jp-RenderedHTMLCommon pre,
.jp-RenderedHTMLCommon code {
border: 0;
background-color: var(--jp-layout-color0);
color: var(--jp-content-font-color1);
font-family: var(--jp-code-font-family);
font-size: inherit;
line-height: var(--jp-code-line-height);
padding: 0;
white-space: pre-wrap;
}
.jp-RenderedHTMLCommon :not(pre) > code {
background-color: var(--jp-layout-color2);
padding: 1px 5px;
}
/* Tables */
.jp-RenderedHTMLCommon table {
border-collapse: collapse;
border-spacing: 0;
border: none;
color: var(--jp-ui-font-color1);
font-size: var(--jp-ui-font-size1);
table-layout: fixed;
margin-left: auto;
margin-bottom: 1em;
margin-right: auto;
}
.jp-RenderedHTMLCommon thead {
border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
vertical-align: bottom;
}
.jp-RenderedHTMLCommon td,
.jp-RenderedHTMLCommon th,
.jp-RenderedHTMLCommon tr {
vertical-align: middle;
padding: 0.5em;
line-height: normal;
white-space: normal;
max-width: none;
border: none;
}
.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
max-width: none;
}
:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
text-align: right;
}
.jp-RenderedHTMLCommon th {
font-weight: bold;
}
.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
background: var(--jp-layout-color0);
}
.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
background: var(--jp-rendermime-table-row-background);
}
.jp-RenderedHTMLCommon tbody tr:hover {
background: var(--jp-rendermime-table-row-hover-background);
}
.jp-RenderedHTMLCommon p {
text-align: left;
margin: 0;
margin-bottom: 1em;
}
.jp-RenderedHTMLCommon img {
-moz-force-broken-image-icon: 1;
}
/* Restrict to direct children as other images could be nested in other content. */
.jp-RenderedHTMLCommon > img {
display: block;
margin-left: 0;
margin-right: 0;
margin-bottom: 1em;
}
/* Change color behind transparent images if they need it... */
[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
background-color: var(--jp-inverse-layout-color1);
}
[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
background-color: var(--jp-inverse-layout-color1);
}
.jp-RenderedHTMLCommon img,
.jp-RenderedImage img,
.jp-RenderedHTMLCommon svg,
.jp-RenderedSVG svg {
max-width: 100%;
height: auto;
}
.jp-RenderedHTMLCommon img.jp-mod-unconfined,
.jp-RenderedImage img.jp-mod-unconfined,
.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
.jp-RenderedSVG svg.jp-mod-unconfined {
max-width: none;
}
.jp-RenderedHTMLCommon .alert {
padding: var(--jp-notebook-padding);
border: var(--jp-border-width) solid transparent;
border-radius: var(--jp-border-radius);
margin-bottom: 1em;
}
.jp-RenderedHTMLCommon .alert-info {
color: var(--jp-info-color0);
background-color: var(--jp-info-color3);
border-color: var(--jp-info-color2);
}
.jp-RenderedHTMLCommon .alert-info hr {
border-color: var(--jp-info-color3);
}
.jp-RenderedHTMLCommon .alert-info > p:last-child,
.jp-RenderedHTMLCommon .alert-info > ul:last-child {
margin-bottom: 0;
}
.jp-RenderedHTMLCommon .alert-warning {
color: var(--jp-warn-color0);
background-color: var(--jp-warn-color3);
border-color: var(--jp-warn-color2);
}
.jp-RenderedHTMLCommon .alert-warning hr {
border-color: var(--jp-warn-color3);
}
.jp-RenderedHTMLCommon .alert-warning > p:last-child,
.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
margin-bottom: 0;
}
.jp-RenderedHTMLCommon .alert-success {
color: var(--jp-success-color0);
background-color: var(--jp-success-color3);
border-color: var(--jp-success-color2);
}
.jp-RenderedHTMLCommon .alert-success hr {
border-color: var(--jp-success-color3);
}
.jp-RenderedHTMLCommon .alert-success > p:last-child,
.jp-RenderedHTMLCommon .alert-success > ul:last-child {
margin-bottom: 0;
}
.jp-RenderedHTMLCommon .alert-danger {
color: var(--jp-error-color0);
background-color: var(--jp-error-color3);
border-color: var(--jp-error-color2);
}
.jp-RenderedHTMLCommon .alert-danger hr {
border-color: var(--jp-error-color3);
}
.jp-RenderedHTMLCommon .alert-danger > p:last-child,
.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
margin-bottom: 0;
}
.jp-RenderedHTMLCommon blockquote {
margin: 1em 2em;
padding: 0 1em;
border-left: 5px solid var(--jp-border-color2);
}
a.jp-InternalAnchorLink {
visibility: hidden;
margin-left: 8px;
color: var(--md-blue-800);
}
h1:hover .jp-InternalAnchorLink,
h2:hover .jp-InternalAnchorLink,
h3:hover .jp-InternalAnchorLink,
h4:hover .jp-InternalAnchorLink,
h5:hover .jp-InternalAnchorLink,
h6:hover .jp-InternalAnchorLink {
visibility: visible;
}
.jp-RenderedHTMLCommon kbd {
background-color: var(--jp-rendermime-table-row-background);
border: 1px solid var(--jp-border-color0);
border-bottom-color: var(--jp-border-color2);
border-radius: 3px;
box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
display: inline-block;
font-size: var(--jp-ui-font-size0);
line-height: 1em;
padding: 0.2em 0.5em;
}
/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
* At the bottom of cells this is a bit too much as there is also spacing
* between cells. Going all the way to 0 gets too tight between markdown and
* code cells.
*/
.jp-RenderedHTMLCommon > *:last-child {
margin-bottom: 0.5em;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-cursor-backdrop {
position: fixed;
width: 200px;
height: 200px;
margin-top: -100px;
margin-left: -100px;
will-change: transform;
z-index: 100;
}
.lm-mod-drag-image {
will-change: transform;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
.jp-lineFormSearch {
padding: 4px 12px;
background-color: var(--jp-layout-color2);
box-shadow: var(--jp-toolbar-box-shadow);
z-index: 2;
font-size: var(--jp-ui-font-size1);
}
.jp-lineFormCaption {
font-size: var(--jp-ui-font-size0);
line-height: var(--jp-ui-font-size1);
margin-top: 4px;
color: var(--jp-ui-font-color0);
}
.jp-baseLineForm {
border: none;
border-radius: 0;
position: absolute;
background-size: 16px;
background-repeat: no-repeat;
background-position: center;
outline: none;
}
.jp-lineFormButtonContainer {
top: 4px;
right: 8px;
height: 24px;
padding: 0 12px;
width: 12px;
}
.jp-lineFormButtonIcon {
top: 0;
right: 0;
background-color: var(--jp-brand-color1);
height: 100%;
width: 100%;
box-sizing: border-box;
padding: 4px 6px;
}
.jp-lineFormButton {
top: 0;
right: 0;
background-color: transparent;
height: 100%;
width: 100%;
box-sizing: border-box;
}
.jp-lineFormWrapper {
overflow: hidden;
padding: 0 8px;
border: 1px solid var(--jp-border-color0);
background-color: var(--jp-input-active-background);
height: 22px;
}
.jp-lineFormWrapperFocusWithin {
border: var(--jp-border-width) solid var(--md-blue-500);
box-shadow: inset 0 0 4px var(--md-blue-300);
}
.jp-lineFormInput {
background: transparent;
width: 200px;
height: 100%;
border: none;
outline: none;
color: var(--jp-ui-font-color0);
line-height: 28px;
}
/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2016, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-JSONEditor {
display: flex;
flex-direction: column;
width: 100%;
}
.jp-JSONEditor-host {
flex: 1 1 auto;
border: var(--jp-border-width) solid var(--jp-input-border-color);
border-radius: 0;
background: var(--jp-layout-color0);
min-height: 50px;
padding: 1px;
}
.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
border-color: red;
outline-color: red;
}
.jp-JSONEditor-header {
display: flex;
flex: 1 0 auto;
padding: 0 0 0 12px;
}
.jp-JSONEditor-header label {
flex: 0 0 auto;
}
.jp-JSONEditor-commitButton {
height: 16px;
width: 16px;
background-size: 18px;
background-repeat: no-repeat;
background-position: center;
}
.jp-JSONEditor-host.jp-mod-focused {
background-color: var(--jp-input-active-background);
border: 1px solid var(--jp-input-active-border-color);
box-shadow: var(--jp-input-box-shadow);
}
.jp-Editor.jp-mod-dropTarget {
border: var(--jp-border-width) solid var(--jp-input-active-border-color);
box-shadow: var(--jp-input-box-shadow);
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-DocumentSearch-input {
border: none;
outline: none;
color: var(--jp-ui-font-color0);
font-size: var(--jp-ui-font-size1);
background-color: var(--jp-layout-color0);
font-family: var(--jp-ui-font-family);
padding: 2px 1px;
resize: none;
}
.jp-DocumentSearch-overlay {
position: absolute;
background-color: var(--jp-toolbar-background);
border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
top: 0;
right: 0;
z-index: 7;
min-width: 405px;
padding: 2px;
font-size: var(--jp-ui-font-size1);
--jp-private-document-search-button-height: 20px;
}
.jp-DocumentSearch-overlay button {
background-color: var(--jp-toolbar-background);
outline: 0;
}
.jp-DocumentSearch-overlay button:hover {
background-color: var(--jp-layout-color2);
}
.jp-DocumentSearch-overlay button:active {
background-color: var(--jp-layout-color3);
}
.jp-DocumentSearch-overlay-row {
display: flex;
align-items: center;
margin-bottom: 2px;
}
.jp-DocumentSearch-button-content {
display: inline-block;
cursor: pointer;
box-sizing: border-box;
width: 100%;
height: 100%;
}
.jp-DocumentSearch-button-content svg {
width: 100%;
height: 100%;
}
.jp-DocumentSearch-input-wrapper {
border: var(--jp-border-width) solid var(--jp-border-color0);
display: flex;
background-color: var(--jp-layout-color0);
margin: 2px;
}
.jp-DocumentSearch-input-wrapper:focus-within {
border-color: var(--jp-cell-editor-active-border-color);
}
.jp-DocumentSearch-toggle-wrapper,
.jp-DocumentSearch-button-wrapper {
all: initial;
overflow: hidden;
display: inline-block;
border: none;
box-sizing: border-box;
}
.jp-DocumentSearch-toggle-wrapper {
width: 14px;
height: 14px;
}
.jp-DocumentSearch-button-wrapper {
width: var(--jp-private-document-search-button-height);
height: var(--jp-private-document-search-button-height);
}
.jp-DocumentSearch-toggle-wrapper:focus,
.jp-DocumentSearch-button-wrapper:focus {
outline: var(--jp-border-width) solid
var(--jp-cell-editor-active-border-color);
outline-offset: -1px;
}
.jp-DocumentSearch-toggle-wrapper,
.jp-DocumentSearch-button-wrapper,
.jp-DocumentSearch-button-content:focus {
outline: none;
}
.jp-DocumentSearch-toggle-placeholder {
width: 5px;
}
.jp-DocumentSearch-input-button::before {
display: block;
padding-top: 100%;
}
.jp-DocumentSearch-input-button-off {
opacity: var(--jp-search-toggle-off-opacity);
}
.jp-DocumentSearch-input-button-off:hover {
opacity: var(--jp-search-toggle-hover-opacity);
}
.jp-DocumentSearch-input-button-on {
opacity: var(--jp-search-toggle-on-opacity);
}
.jp-DocumentSearch-index-counter {
padding-left: 10px;
padding-right: 10px;
user-select: none;
min-width: 35px;
display: inline-block;
}
.jp-DocumentSearch-up-down-wrapper {
display: inline-block;
padding-right: 2px;
margin-left: auto;
white-space: nowrap;
}
.jp-DocumentSearch-spacer {
margin-left: auto;
}
.jp-DocumentSearch-up-down-wrapper button {
outline: 0;
border: none;
width: var(--jp-private-document-search-button-height);
height: var(--jp-private-document-search-button-height);
vertical-align: middle;
margin: 1px 5px 2px;
}
.jp-DocumentSearch-up-down-button:hover {
background-color: var(--jp-layout-color2);
}
.jp-DocumentSearch-up-down-button:active {
background-color: var(--jp-layout-color3);
}
.jp-DocumentSearch-filter-button {
border-radius: var(--jp-border-radius);
}
.jp-DocumentSearch-filter-button:hover {
background-color: var(--jp-layout-color2);
}
.jp-DocumentSearch-filter-button-enabled {
background-color: var(--jp-layout-color2);
}
.jp-DocumentSearch-filter-button-enabled:hover {
background-color: var(--jp-layout-color3);
}
.jp-DocumentSearch-search-options {
padding: 0 8px;
margin-left: 3px;
width: 100%;
display: grid;
justify-content: start;
grid-template-columns: 1fr 1fr;
align-items: center;
justify-items: stretch;
}
.jp-DocumentSearch-search-filter-disabled {
color: var(--jp-ui-font-color2);
}
.jp-DocumentSearch-search-filter {
display: flex;
align-items: center;
user-select: none;
}
.jp-DocumentSearch-regex-error {
color: var(--jp-error-color0);
}
.jp-DocumentSearch-replace-button-wrapper {
overflow: hidden;
display: inline-block;
box-sizing: border-box;
border: var(--jp-border-width) solid var(--jp-border-color0);
margin: auto 2px;
padding: 1px 4px;
height: calc(var(--jp-private-document-search-button-height) + 2px);
}
.jp-DocumentSearch-replace-button-wrapper:focus {
border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
}
.jp-DocumentSearch-replace-button {
display: inline-block;
text-align: center;
cursor: pointer;
box-sizing: border-box;
color: var(--jp-ui-font-color1);
/* height - 2 * (padding of wrapper) */
line-height: calc(var(--jp-private-document-search-button-height) - 2px);
width: 100%;
height: 100%;
}
.jp-DocumentSearch-replace-button:focus {
outline: none;
}
.jp-DocumentSearch-replace-wrapper-class {
margin-left: 14px;
display: flex;
}
.jp-DocumentSearch-replace-toggle {
border: none;
background-color: var(--jp-toolbar-background);
border-radius: var(--jp-border-radius);
}
.jp-DocumentSearch-replace-toggle:hover {
background-color: var(--jp-layout-color2);
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.cm-editor {
line-height: var(--jp-code-line-height);
font-size: var(--jp-code-font-size);
font-family: var(--jp-code-font-family);
border: 0;
border-radius: 0;
height: auto;
/* Changed to auto to autogrow */
}
.cm-editor pre {
padding: 0 var(--jp-code-padding);
}
.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
background-color: var(--jp-layout-color0);
color: var(--jp-content-font-color1);
}
.jp-CodeMirrorEditor {
cursor: text;
}
/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
@media screen and (min-width: 2138px) and (max-width: 4319px) {
.jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
border-left: var(--jp-code-cursor-width1) solid
var(--jp-editor-cursor-color);
}
}
/* When zoomed out less than 33% */
@media screen and (min-width: 4320px) {
.jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
border-left: var(--jp-code-cursor-width2) solid
var(--jp-editor-cursor-color);
}
}
.cm-editor.jp-mod-readOnly .cm-cursor {
display: none;
}
.jp-CollaboratorCursor {
border-left: 5px solid transparent;
border-right: 5px solid transparent;
border-top: none;
border-bottom: 3px solid;
background-clip: content-box;
margin-left: -5px;
margin-right: -5px;
}
.cm-searching,
.cm-searching span {
/* `.cm-searching span`: we need to override syntax highlighting */
background-color: var(--jp-search-unselected-match-background-color);
color: var(--jp-search-unselected-match-color);
}
.cm-searching::selection,
.cm-searching span::selection {
background-color: var(--jp-search-unselected-match-background-color);
color: var(--jp-search-unselected-match-color);
}
.jp-current-match > .cm-searching,
.jp-current-match > .cm-searching span,
.cm-searching > .jp-current-match,
.cm-searching > .jp-current-match span {
background-color: var(--jp-search-selected-match-background-color);
color: var(--jp-search-selected-match-color);
}
.jp-current-match > .cm-searching::selection,
.cm-searching > .jp-current-match::selection,
.jp-current-match > .cm-searching span::selection {
background-color: var(--jp-search-selected-match-background-color);
color: var(--jp-search-selected-match-color);
}
.cm-trailingspace {
background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
background-position: center left;
background-repeat: repeat-x;
}
.jp-CollaboratorCursor-hover {
position: absolute;
z-index: 1;
transform: translateX(-50%);
color: white;
border-radius: 3px;
padding-left: 4px;
padding-right: 4px;
padding-top: 1px;
padding-bottom: 1px;
text-align: center;
font-size: var(--jp-ui-font-size1);
white-space: nowrap;
}
.jp-CodeMirror-ruler {
border-left: 1px dashed var(--jp-border-color2);
}
/* Styles for shared cursors (remote cursor locations and selected ranges) */
.jp-CodeMirrorEditor .cm-ySelectionCaret {
position: relative;
border-left: 1px solid black;
margin-left: -1px;
margin-right: -1px;
box-sizing: border-box;
}
.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
white-space: nowrap;
position: absolute;
top: -1.15em;
padding-bottom: 0.05em;
left: -1px;
font-size: 0.95em;
font-family: var(--jp-ui-font-family);
font-weight: bold;
line-height: normal;
user-select: none;
color: white;
padding-left: 2px;
padding-right: 2px;
z-index: 101;
transition: opacity 0.3s ease-in-out;
}
.jp-CodeMirrorEditor .cm-ySelectionInfo {
transition-delay: 0.7s;
opacity: 0;
}
.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
opacity: 1;
transition-delay: 0s;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-MimeDocument {
outline: none;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Variables
|----------------------------------------------------------------------------*/
:root {
--jp-private-filebrowser-button-height: 28px;
--jp-private-filebrowser-button-width: 48px;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-FileBrowser .jp-SidePanel-content {
display: flex;
flex-direction: column;
}
.jp-FileBrowser-toolbar.jp-Toolbar {
flex-wrap: wrap;
row-gap: 12px;
border-bottom: none;
height: auto;
margin: 8px 12px 0;
box-shadow: none;
padding: 0;
justify-content: flex-start;
}
.jp-FileBrowser-Panel {
flex: 1 1 auto;
display: flex;
flex-direction: column;
}
.jp-BreadCrumbs {
flex: 0 0 auto;
margin: 8px 12px;
}
.jp-BreadCrumbs-item {
margin: 0 2px;
padding: 0 2px;
border-radius: var(--jp-border-radius);
cursor: pointer;
}
.jp-BreadCrumbs-item:hover {
background-color: var(--jp-layout-color2);
}
.jp-BreadCrumbs-item:first-child {
margin-left: 0;
}
.jp-BreadCrumbs-item.jp-mod-dropTarget {
background-color: var(--jp-brand-color2);
opacity: 0.7;
}
/*-----------------------------------------------------------------------------
| Buttons
|----------------------------------------------------------------------------*/
.jp-FileBrowser-toolbar > .jp-Toolbar-item {
flex: 0 0 auto;
padding-left: 0;
padding-right: 2px;
align-items: center;
height: unset;
}
.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
width: 40px;
}
/*-----------------------------------------------------------------------------
| Other styles
|----------------------------------------------------------------------------*/
.jp-FileDialog.jp-mod-conflict input {
color: var(--jp-error-color1);
}
.jp-FileDialog .jp-new-name-title {
margin-top: 12px;
}
.jp-LastModified-hidden {
display: none;
}
.jp-FileSize-hidden {
display: none;
}
.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
display: none;
}
/*-----------------------------------------------------------------------------
| DirListing
|----------------------------------------------------------------------------*/
.jp-DirListing {
flex: 1 1 auto;
display: flex;
flex-direction: column;
outline: 0;
}
.jp-DirListing-header {
flex: 0 0 auto;
display: flex;
flex-direction: row;
align-items: center;
overflow: hidden;
border-top: var(--jp-border-width) solid var(--jp-border-color2);
border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
box-shadow: var(--jp-toolbar-box-shadow);
z-index: 2;
}
.jp-DirListing-headerItem {
padding: 4px 12px 2px;
font-weight: 500;
}
.jp-DirListing-headerItem:hover {
background: var(--jp-layout-color2);
}
.jp-DirListing-headerItem.jp-id-name {
flex: 1 0 84px;
}
.jp-DirListing-headerItem.jp-id-modified {
flex: 0 0 112px;
border-left: var(--jp-border-width) solid var(--jp-border-color2);
text-align: right;
}
.jp-DirListing-headerItem.jp-id-filesize {
flex: 0 0 75px;
border-left: var(--jp-border-width) solid var(--jp-border-color2);
text-align: right;
}
.jp-id-narrow {
display: none;
flex: 0 0 5px;
padding: 4px;
border-left: var(--jp-border-width) solid var(--jp-border-color2);
text-align: right;
color: var(--jp-border-color2);
}
.jp-DirListing-narrow .jp-id-narrow {
display: block;
}
.jp-DirListing-narrow .jp-id-modified,
.jp-DirListing-narrow .jp-DirListing-itemModified {
display: none;
}
.jp-DirListing-headerItem.jp-mod-selected {
font-weight: 600;
}
/* increase specificity to override bundled default */
.jp-DirListing-content {
flex: 1 1 auto;
margin: 0;
padding: 0;
list-style-type: none;
overflow: auto;
background-color: var(--jp-layout-color1);
}
.jp-DirListing-content mark {
color: var(--jp-ui-font-color0);
background-color: transparent;
font-weight: bold;
}
.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
color: var(--jp-ui-inverse-font-color0);
}
/* Style the directory listing content when a user drops a file to upload */
.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
outline: 5px dashed rgba(128, 128, 128, 0.5);
outline-offset: -10px;
cursor: copy;
}
.jp-DirListing-item {
display: flex;
flex-direction: row;
align-items: center;
padding: 4px 12px;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.jp-DirListing-checkboxWrapper {
/* Increases hit area of checkbox. */
padding: 4px;
}
.jp-DirListing-header
.jp-DirListing-checkboxWrapper
+ .jp-DirListing-headerItem {
padding-left: 4px;
}
.jp-DirListing-content .jp-DirListing-checkboxWrapper {
position: relative;
left: -4px;
margin: -4px 0 -4px -8px;
}
.jp-DirListing-checkboxWrapper.jp-mod-visible {
visibility: visible;
}
/* For devices that support hovering, hide checkboxes until hovered, selected...
*/
@media (hover: hover) {
.jp-DirListing-checkboxWrapper {
visibility: hidden;
}
.jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
.jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
visibility: visible;
}
}
.jp-DirListing-item[data-is-dot] {
opacity: 75%;
}
.jp-DirListing-item.jp-mod-selected {
color: var(--jp-ui-inverse-font-color1);
background: var(--jp-brand-color1);
}
.jp-DirListing-item.jp-mod-dropTarget {
background: var(--jp-brand-color3);
}
.jp-DirListing-item:hover:not(.jp-mod-selected) {
background: var(--jp-layout-color2);
}
.jp-DirListing-itemIcon {
flex: 0 0 20px;
margin-right: 4px;
}
.jp-DirListing-itemText {
flex: 1 0 64px;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
user-select: none;
}
.jp-DirListing-itemText:focus {
outline-width: 2px;
outline-color: var(--jp-inverse-layout-color1);
outline-style: solid;
outline-offset: 1px;
}
.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
outline-color: var(--jp-layout-color1);
}
.jp-DirListing-itemModified {
flex: 0 0 125px;
text-align: right;
}
.jp-DirListing-itemFileSize {
flex: 0 0 90px;
text-align: right;
}
.jp-DirListing-editor {
flex: 1 0 64px;
outline: none;
border: none;
color: var(--jp-ui-font-color1);
background-color: var(--jp-layout-color1);
}
.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
color: var(--jp-success-color1);
content: '\25CF';
font-size: 8px;
position: absolute;
left: -8px;
}
.jp-DirListing-item.jp-mod-running.jp-mod-selected
.jp-DirListing-itemIcon::before {
color: var(--jp-ui-inverse-font-color1);
}
.jp-DirListing-item.lm-mod-drag-image,
.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
font-size: var(--jp-ui-font-size1);
padding-left: 4px;
margin-left: 4px;
width: 160px;
background-color: var(--jp-ui-inverse-font-color2);
box-shadow: var(--jp-elevation-z2);
border-radius: 0;
color: var(--jp-ui-font-color1);
transform: translateX(-40%) translateY(-58%);
}
.jp-Document {
min-width: 120px;
min-height: 120px;
outline: none;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Main OutputArea
| OutputArea has a list of Outputs
|----------------------------------------------------------------------------*/
.jp-OutputArea {
overflow-y: auto;
}
.jp-OutputArea-child {
display: table;
table-layout: fixed;
width: 100%;
overflow: hidden;
}
.jp-OutputPrompt {
width: var(--jp-cell-prompt-width);
color: var(--jp-cell-outprompt-font-color);
font-family: var(--jp-cell-prompt-font-family);
padding: var(--jp-code-padding);
letter-spacing: var(--jp-cell-prompt-letter-spacing);
line-height: var(--jp-code-line-height);
font-size: var(--jp-code-font-size);
border: var(--jp-border-width) solid transparent;
opacity: var(--jp-cell-prompt-opacity);
/* Right align prompt text, don't wrap to handle large prompt numbers */
text-align: right;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
/* Disable text selection */
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.jp-OutputArea-prompt {
display: table-cell;
vertical-align: top;
}
.jp-OutputArea-output {
display: table-cell;
width: 100%;
height: auto;
overflow: auto;
user-select: text;
-moz-user-select: text;
-webkit-user-select: text;
-ms-user-select: text;
}
.jp-OutputArea .jp-RenderedText {
padding-left: 1ch;
}
/**
* Prompt overlay.
*/
.jp-OutputArea-promptOverlay {
position: absolute;
top: 0;
width: var(--jp-cell-prompt-width);
height: 100%;
opacity: 0.5;
}
.jp-OutputArea-promptOverlay:hover {
background: var(--jp-layout-color2);
box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
cursor: zoom-out;
}
.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
cursor: zoom-in;
}
/**
* Isolated output.
*/
.jp-OutputArea-output.jp-mod-isolated {
width: 100%;
display: block;
}
/*
When drag events occur, `lm-mod-override-cursor` is added to the body.
Because iframes steal all cursor events, the following two rules are necessary
to suppress pointer events while resize drags are occurring. There may be a
better solution to this problem.
*/
body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
position: relative;
}
body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
content: '';
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: transparent;
}
/* pre */
.jp-OutputArea-output pre {
border: none;
margin: 0;
padding: 0;
overflow-x: auto;
overflow-y: auto;
word-break: break-all;
word-wrap: break-word;
white-space: pre-wrap;
}
/* tables */
.jp-OutputArea-output.jp-RenderedHTMLCommon table {
margin-left: 0;
margin-right: 0;
}
/* description lists */
.jp-OutputArea-output dl,
.jp-OutputArea-output dt,
.jp-OutputArea-output dd {
display: block;
}
.jp-OutputArea-output dl {
width: 100%;
overflow: hidden;
padding: 0;
margin: 0;
}
.jp-OutputArea-output dt {
font-weight: bold;
float: left;
width: 20%;
padding: 0;
margin: 0;
}
.jp-OutputArea-output dd {
float: left;
width: 80%;
padding: 0;
margin: 0;
}
.jp-TrimmedOutputs pre {
background: var(--jp-layout-color3);
font-size: calc(var(--jp-code-font-size) * 1.4);
text-align: center;
text-transform: uppercase;
}
/* Hide the gutter in case of
* - nested output areas (e.g. in the case of output widgets)
* - mirrored output areas
*/
.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
display: none;
}
/* Hide empty lines in the output area, for instance due to cleared widgets */
.jp-OutputArea-prompt:empty {
padding: 0;
border: 0;
}
/*-----------------------------------------------------------------------------
| executeResult is added to any Output-result for the display of the object
| returned by a cell
|----------------------------------------------------------------------------*/
.jp-OutputArea-output.jp-OutputArea-executeResult {
margin-left: 0;
width: 100%;
}
/* Text output with the Out[] prompt needs a top padding to match the
* alignment of the Out[] prompt itself.
*/
.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
padding-top: var(--jp-code-padding);
border-top: var(--jp-border-width) solid transparent;
}
/*-----------------------------------------------------------------------------
| The Stdin output
|----------------------------------------------------------------------------*/
.jp-Stdin-prompt {
color: var(--jp-content-font-color0);
padding-right: var(--jp-code-padding);
vertical-align: baseline;
flex: 0 0 auto;
}
.jp-Stdin-input {
font-family: var(--jp-code-font-family);
font-size: inherit;
color: inherit;
background-color: inherit;
width: 42%;
min-width: 200px;
/* make sure input baseline aligns with prompt */
vertical-align: baseline;
/* padding + margin = 0.5em between prompt and cursor */
padding: 0 0.25em;
margin: 0 0.25em;
flex: 0 0 70%;
}
.jp-Stdin-input::placeholder {
opacity: 0;
}
.jp-Stdin-input:focus {
box-shadow: none;
}
.jp-Stdin-input:focus::placeholder {
opacity: 1;
}
/*-----------------------------------------------------------------------------
| Output Area View
|----------------------------------------------------------------------------*/
.jp-LinkedOutputView .jp-OutputArea {
height: 100%;
display: block;
}
.jp-LinkedOutputView .jp-OutputArea-output:only-child {
height: 100%;
}
/*-----------------------------------------------------------------------------
| Printing
|----------------------------------------------------------------------------*/
@media print {
.jp-OutputArea-child {
break-inside: avoid-page;
}
}
/*-----------------------------------------------------------------------------
| Mobile
|----------------------------------------------------------------------------*/
@media only screen and (max-width: 760px) {
.jp-OutputPrompt {
display: table-row;
text-align: left;
}
.jp-OutputArea-child .jp-OutputArea-output {
display: table-row;
margin-left: var(--jp-notebook-padding);
}
}
/* Trimmed outputs warning */
.jp-TrimmedOutputs > a {
margin: 10px;
text-decoration: none;
cursor: pointer;
}
.jp-TrimmedOutputs > a:hover {
text-decoration: none;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Table of Contents
|----------------------------------------------------------------------------*/
:root {
--jp-private-toc-active-width: 4px;
}
.jp-TableOfContents {
display: flex;
flex-direction: column;
background: var(--jp-layout-color1);
color: var(--jp-ui-font-color1);
font-size: var(--jp-ui-font-size1);
height: 100%;
}
.jp-TableOfContents-placeholder {
text-align: center;
}
.jp-TableOfContents-placeholderContent {
color: var(--jp-content-font-color2);
padding: 8px;
}
.jp-TableOfContents-placeholderContent > h3 {
margin-bottom: var(--jp-content-heading-margin-bottom);
}
.jp-TableOfContents .jp-SidePanel-content {
overflow-y: auto;
}
.jp-TableOfContents-tree {
margin: 4px;
}
.jp-TableOfContents ol {
list-style-type: none;
}
/* stylelint-disable-next-line selector-max-type */
.jp-TableOfContents li > ol {
/* Align left border with triangle icon center */
padding-left: 11px;
}
.jp-TableOfContents-content {
/* left margin for the active heading indicator */
margin: 0 0 0 var(--jp-private-toc-active-width);
padding: 0;
background-color: var(--jp-layout-color1);
}
.jp-tocItem {
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.jp-tocItem-heading {
display: flex;
cursor: pointer;
}
.jp-tocItem-heading:hover {
background-color: var(--jp-layout-color2);
}
.jp-tocItem-content {
display: block;
padding: 4px 0;
white-space: nowrap;
text-overflow: ellipsis;
overflow-x: hidden;
}
.jp-tocItem-collapser {
height: 20px;
margin: 2px 2px 0;
padding: 0;
background: none;
border: none;
cursor: pointer;
}
.jp-tocItem-collapser:hover {
background-color: var(--jp-layout-color3);
}
/* Active heading indicator */
.jp-tocItem-heading::before {
content: ' ';
background: transparent;
width: var(--jp-private-toc-active-width);
height: 24px;
position: absolute;
left: 0;
border-radius: var(--jp-border-radius);
}
.jp-tocItem-heading.jp-tocItem-active::before {
background-color: var(--jp-brand-color1);
}
.jp-tocItem-heading:hover.jp-tocItem-active::before {
background: var(--jp-brand-color0);
opacity: 1;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-Collapser {
flex: 0 0 var(--jp-cell-collapser-width);
padding: 0;
margin: 0;
border: none;
outline: none;
background: transparent;
border-radius: var(--jp-border-radius);
opacity: 1;
}
.jp-Collapser-child {
display: block;
width: 100%;
box-sizing: border-box;
/* height: 100% doesn't work because the height of its parent is computed from content */
position: absolute;
top: 0;
bottom: 0;
}
/*-----------------------------------------------------------------------------
| Printing
|----------------------------------------------------------------------------*/
/*
Hiding collapsers in print mode.
Note: input and output wrappers have "display: block" propery in print mode.
*/
@media print {
.jp-Collapser {
display: none;
}
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Header/Footer
|----------------------------------------------------------------------------*/
/* Hidden by zero height by default */
.jp-CellHeader,
.jp-CellFooter {
height: 0;
width: 100%;
padding: 0;
margin: 0;
border: none;
outline: none;
background: transparent;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Input
|----------------------------------------------------------------------------*/
/* All input areas */
.jp-InputArea {
display: table;
table-layout: fixed;
width: 100%;
overflow: hidden;
}
.jp-InputArea-editor {
display: table-cell;
overflow: hidden;
vertical-align: top;
/* This is the non-active, default styling */
border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
border-radius: 0;
background: var(--jp-cell-editor-background);
}
.jp-InputPrompt {
display: table-cell;
vertical-align: top;
width: var(--jp-cell-prompt-width);
color: var(--jp-cell-inprompt-font-color);
font-family: var(--jp-cell-prompt-font-family);
padding: var(--jp-code-padding);
letter-spacing: var(--jp-cell-prompt-letter-spacing);
opacity: var(--jp-cell-prompt-opacity);
line-height: var(--jp-code-line-height);
font-size: var(--jp-code-font-size);
border: var(--jp-border-width) solid transparent;
/* Right align prompt text, don't wrap to handle large prompt numbers */
text-align: right;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
/* Disable text selection */
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
/*-----------------------------------------------------------------------------
| Mobile
|----------------------------------------------------------------------------*/
@media only screen and (max-width: 760px) {
.jp-InputArea-editor {
display: table-row;
margin-left: var(--jp-notebook-padding);
}
.jp-InputPrompt {
display: table-row;
text-align: left;
}
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Placeholder
|----------------------------------------------------------------------------*/
.jp-Placeholder {
display: table;
table-layout: fixed;
width: 100%;
}
.jp-Placeholder-prompt {
display: table-cell;
box-sizing: border-box;
}
.jp-Placeholder-content {
display: table-cell;
padding: 4px 6px;
border: 1px solid transparent;
border-radius: 0;
background: none;
box-sizing: border-box;
cursor: pointer;
}
.jp-Placeholder-contentContainer {
display: flex;
}
.jp-Placeholder-content:hover,
.jp-InputPlaceholder > .jp-Placeholder-content:hover {
border-color: var(--jp-layout-color3);
}
.jp-Placeholder-content .jp-MoreHorizIcon {
width: 32px;
height: 16px;
border: 1px solid transparent;
border-radius: var(--jp-border-radius);
}
.jp-Placeholder-content .jp-MoreHorizIcon:hover {
border: 1px solid var(--jp-border-color1);
box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
background-color: var(--jp-layout-color0);
}
.jp-PlaceholderText {
white-space: nowrap;
overflow-x: hidden;
color: var(--jp-inverse-layout-color3);
font-family: var(--jp-code-font-family);
}
.jp-InputPlaceholder > .jp-Placeholder-content {
border-color: var(--jp-cell-editor-border-color);
background: var(--jp-cell-editor-background);
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Private CSS variables
|----------------------------------------------------------------------------*/
:root {
--jp-private-cell-scrolling-output-offset: 5px;
}
/*-----------------------------------------------------------------------------
| Cell
|----------------------------------------------------------------------------*/
.jp-Cell {
padding: var(--jp-cell-padding);
margin: 0;
border: none;
outline: none;
background: transparent;
}
/*-----------------------------------------------------------------------------
| Common input/output
|----------------------------------------------------------------------------*/
.jp-Cell-inputWrapper,
.jp-Cell-outputWrapper {
display: flex;
flex-direction: row;
padding: 0;
margin: 0;
/* Added to reveal the box-shadow on the input and output collapsers. */
overflow: visible;
}
/* Only input/output areas inside cells */
.jp-Cell-inputArea,
.jp-Cell-outputArea {
flex: 1 1 auto;
}
/*-----------------------------------------------------------------------------
| Collapser
|----------------------------------------------------------------------------*/
/* Make the output collapser disappear when there is not output, but do so
* in a manner that leaves it in the layout and preserves its width.
*/
.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
border: none !important;
background: transparent !important;
}
.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
min-height: var(--jp-cell-collapser-min-height);
}
/*-----------------------------------------------------------------------------
| Output
|----------------------------------------------------------------------------*/
/* Put a space between input and output when there IS output */
.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
margin-top: 5px;
}
.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
overflow-y: auto;
max-height: 24em;
margin-left: var(--jp-private-cell-scrolling-output-offset);
resize: vertical;
}
.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
max-height: unset;
}
.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
content: ' ';
box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
width: 100%;
height: 100%;
position: sticky;
bottom: 0;
top: 0;
margin-top: -50%;
float: left;
display: block;
pointer-events: none;
}
.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
padding-top: 6px;
}
.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
width: calc(
var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
);
}
.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
}
/*-----------------------------------------------------------------------------
| CodeCell
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| MarkdownCell
|----------------------------------------------------------------------------*/
.jp-MarkdownOutput {
display: table-cell;
width: 100%;
margin-top: 0;
margin-bottom: 0;
padding-left: var(--jp-code-padding);
}
.jp-MarkdownOutput.jp-RenderedHTMLCommon {
overflow: auto;
}
/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
.jp-collapseHeadingButton {
display: flex;
min-height: var(--jp-cell-collapser-min-height);
font-size: var(--jp-code-font-size);
position: absolute;
background-color: transparent;
background-size: 25px;
background-repeat: no-repeat;
background-position-x: center;
background-position-y: top;
background-image: var(--jp-icon-caret-down);
right: 0;
top: 0;
bottom: 0;
}
.jp-collapseHeadingButton.jp-mod-collapsed {
background-image: var(--jp-icon-caret-right);
}
/*
set the container font size to match that of content
so that the nested collapse buttons have the right size
*/
.jp-MarkdownCell .jp-InputPrompt {
font-size: var(--jp-content-font-size1);
}
/*
Align collapseHeadingButton with cell top header
The font sizes are identical to the ones in packages/rendermime/style/base.css
*/
.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
font-size: var(--jp-content-font-size5);
background-position-y: calc(0.3 * var(--jp-content-font-size5));
}
.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
font-size: var(--jp-content-font-size4);
background-position-y: calc(0.3 * var(--jp-content-font-size4));
}
.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
font-size: var(--jp-content-font-size3);
background-position-y: calc(0.3 * var(--jp-content-font-size3));
}
.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
font-size: var(--jp-content-font-size2);
background-position-y: calc(0.3 * var(--jp-content-font-size2));
}
.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
font-size: var(--jp-content-font-size1);
background-position-y: top;
}
.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
font-size: var(--jp-content-font-size0);
background-position-y: top;
}
/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
display: none;
}
.jp-Notebook.jp-mod-showHiddenCellsButton
:is(.jp-MarkdownCell:hover, .jp-mod-active)
.jp-collapseHeadingButton {
display: flex;
}
/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
margin-top: var(--jp-code-padding);
border: 1px solid var(--jp-border-color2);
background-color: var(--jp-border-color3) !important;
color: var(--jp-content-font-color0) !important;
display: flex;
}
.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
background-color: var(--jp-border-color2) !important;
}
.jp-showHiddenCellsButton {
display: none;
}
/*-----------------------------------------------------------------------------
| Printing
|----------------------------------------------------------------------------*/
/*
Using block instead of flex to allow the use of the break-inside CSS property for
cell outputs.
*/
@media print {
.jp-Cell-inputWrapper,
.jp-Cell-outputWrapper {
display: block;
}
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Variables
|----------------------------------------------------------------------------*/
:root {
--jp-notebook-toolbar-padding: 2px 5px 2px 2px;
}
/*-----------------------------------------------------------------------------
/*-----------------------------------------------------------------------------
| Styles
|----------------------------------------------------------------------------*/
.jp-NotebookPanel-toolbar {
padding: var(--jp-notebook-toolbar-padding);
/* disable paint containment from lumino 2.0 default strict CSS containment */
contain: style size !important;
}
.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
border: none;
box-shadow: none;
}
.jp-Notebook-toolbarCellTypeDropdown select {
height: 24px;
font-size: var(--jp-ui-font-size1);
line-height: 14px;
border-radius: 0;
display: block;
}
.jp-Notebook-toolbarCellTypeDropdown span {
top: 5px !important;
}
.jp-Toolbar-responsive-popup {
position: absolute;
height: fit-content;
display: flex;
flex-direction: row;
flex-wrap: wrap;
justify-content: flex-end;
border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
box-shadow: var(--jp-toolbar-box-shadow);
background: var(--jp-toolbar-background);
min-height: var(--jp-toolbar-micro-height);
padding: var(--jp-notebook-toolbar-padding);
z-index: 1;
right: 0;
top: 0;
}
.jp-Toolbar > .jp-Toolbar-responsive-opener {
margin-left: auto;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Variables
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
/*-----------------------------------------------------------------------------
| Styles
|----------------------------------------------------------------------------*/
.jp-Notebook-ExecutionIndicator {
position: relative;
display: inline-block;
height: 100%;
z-index: 9997;
}
.jp-Notebook-ExecutionIndicator-tooltip {
visibility: hidden;
height: auto;
width: max-content;
width: -moz-max-content;
background-color: var(--jp-layout-color2);
color: var(--jp-ui-font-color1);
text-align: justify;
border-radius: 6px;
padding: 0 5px;
position: fixed;
display: table;
}
.jp-Notebook-ExecutionIndicator-tooltip.up {
transform: translateX(-50%) translateY(-100%) translateY(-32px);
}
.jp-Notebook-ExecutionIndicator-tooltip.down {
transform: translateX(calc(-100% + 16px)) translateY(5px);
}
.jp-Notebook-ExecutionIndicator-tooltip.hidden {
display: none;
}
.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
visibility: visible;
}
.jp-Notebook-ExecutionIndicator span {
font-size: var(--jp-ui-font-size1);
font-family: var(--jp-ui-font-family);
color: var(--jp-ui-font-color1);
line-height: 24px;
display: block;
}
.jp-Notebook-ExecutionIndicator-progress-bar {
display: flex;
justify-content: center;
height: 100%;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*
* Execution indicator
*/
.jp-tocItem-content::after {
content: '';
/* Must be identical to form a circle */
width: 12px;
height: 12px;
background: none;
border: none;
position: absolute;
right: 0;
}
.jp-tocItem-content[data-running='0']::after {
border-radius: 50%;
border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
background: none;
}
.jp-tocItem-content[data-running='1']::after {
border-radius: 50%;
border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
background-color: var(--jp-inverse-layout-color3);
}
.jp-tocItem-content[data-running='0'],
.jp-tocItem-content[data-running='1'] {
margin-right: 12px;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
.jp-Notebook-footer {
height: 27px;
margin-left: calc(
var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
var(--jp-cell-padding)
);
width: calc(
100% -
(
var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
var(--jp-cell-padding) + var(--jp-cell-padding)
)
);
border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
color: var(--jp-ui-font-color3);
margin-top: 6px;
background: none;
cursor: pointer;
}
.jp-Notebook-footer:focus {
border-color: var(--jp-cell-editor-active-border-color);
}
/* For devices that support hovering, hide footer until hover */
@media (hover: hover) {
.jp-Notebook-footer {
opacity: 0;
}
.jp-Notebook-footer:focus,
.jp-Notebook-footer:hover {
opacity: 1;
}
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Imports
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| CSS variables
|----------------------------------------------------------------------------*/
:root {
--jp-side-by-side-output-size: 1fr;
--jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
--jp-private-notebook-dragImage-width: 304px;
--jp-private-notebook-dragImage-height: 36px;
--jp-private-notebook-selected-color: var(--md-blue-400);
--jp-private-notebook-active-color: var(--md-green-400);
}
/*-----------------------------------------------------------------------------
| Notebook
|----------------------------------------------------------------------------*/
/* stylelint-disable selector-max-class */
.jp-NotebookPanel {
display: block;
height: 100%;
}
.jp-NotebookPanel.jp-Document {
min-width: 240px;
min-height: 120px;
}
.jp-Notebook {
padding: var(--jp-notebook-padding);
outline: none;
overflow: auto;
background: var(--jp-layout-color0);
}
.jp-Notebook.jp-mod-scrollPastEnd::after {
display: block;
content: '';
min-height: var(--jp-notebook-scroll-padding);
}
.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
contain: strict;
}
.jp-Notebook .jp-Cell {
overflow: visible;
}
.jp-Notebook .jp-Cell .jp-InputPrompt {
cursor: move;
}
/*-----------------------------------------------------------------------------
| Notebook state related styling
|
| The notebook and cells each have states, here are the possibilities:
|
| - Notebook
| - Command
| - Edit
| - Cell
| - None
| - Active (only one can be active)
| - Selected (the cells actions are applied to)
| - Multiselected (when multiple selected, the cursor)
| - No outputs
|----------------------------------------------------------------------------*/
/* Command or edit modes */
.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
opacity: var(--jp-cell-prompt-not-active-opacity);
color: var(--jp-cell-prompt-not-active-font-color);
}
.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
opacity: var(--jp-cell-prompt-not-active-opacity);
color: var(--jp-cell-prompt-not-active-font-color);
}
/* cell is active */
.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
background: var(--jp-brand-color1);
}
/* cell is dirty */
.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
color: var(--jp-warn-color1);
}
.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
color: var(--jp-warn-color1);
content: '•';
}
.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
background: var(--jp-warn-color1);
}
/* collapser is hovered */
.jp-Notebook .jp-Cell .jp-Collapser:hover {
box-shadow: var(--jp-elevation-z2);
background: var(--jp-brand-color1);
opacity: var(--jp-cell-collapser-not-active-hover-opacity);
}
/* cell is active and collapser is hovered */
.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
background: var(--jp-brand-color0);
opacity: 1;
}
/* Command mode */
.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
background: var(--jp-notebook-multiselected-color);
}
.jp-Notebook.jp-mod-commandMode
.jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
background: transparent;
}
/* Edit mode */
.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
box-shadow: var(--jp-input-box-shadow);
background-color: var(--jp-cell-editor-active-background);
}
/*-----------------------------------------------------------------------------
| Notebook drag and drop
|----------------------------------------------------------------------------*/
.jp-Notebook-cell.jp-mod-dropSource {
opacity: 0.5;
}
.jp-Notebook-cell.jp-mod-dropTarget,
.jp-Notebook.jp-mod-commandMode
.jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
border-top-color: var(--jp-private-notebook-selected-color);
border-top-style: solid;
border-top-width: 2px;
}
.jp-dragImage {
display: block;
flex-direction: row;
width: var(--jp-private-notebook-dragImage-width);
height: var(--jp-private-notebook-dragImage-height);
border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
background: var(--jp-cell-editor-background);
overflow: visible;
}
.jp-dragImage-singlePrompt {
box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
}
.jp-dragImage .jp-dragImage-content {
flex: 1 1 auto;
z-index: 2;
font-size: var(--jp-code-font-size);
font-family: var(--jp-code-font-family);
line-height: var(--jp-code-line-height);
padding: var(--jp-code-padding);
border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
background: var(--jp-cell-editor-background-color);
color: var(--jp-content-font-color3);
text-align: left;
margin: 4px 4px 4px 0;
}
.jp-dragImage .jp-dragImage-prompt {
flex: 0 0 auto;
min-width: 36px;
color: var(--jp-cell-inprompt-font-color);
padding: var(--jp-code-padding);
padding-left: 12px;
font-family: var(--jp-cell-prompt-font-family);
letter-spacing: var(--jp-cell-prompt-letter-spacing);
line-height: 1.9;
font-size: var(--jp-code-font-size);
border: var(--jp-border-width) solid transparent;
}
.jp-dragImage-multipleBack {
z-index: -1;
position: absolute;
height: 32px;
width: 300px;
top: 8px;
left: 8px;
background: var(--jp-layout-color2);
border: var(--jp-border-width) solid var(--jp-input-border-color);
box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
}
/*-----------------------------------------------------------------------------
| Cell toolbar
|----------------------------------------------------------------------------*/
.jp-NotebookTools {
display: block;
min-width: var(--jp-sidebar-min-width);
color: var(--jp-ui-font-color1);
background: var(--jp-layout-color1);
/* This is needed so that all font sizing of children done in ems is
* relative to this base size */
font-size: var(--jp-ui-font-size1);
overflow: auto;
}
.jp-ActiveCellTool {
padding: 12px 0;
display: flex;
}
.jp-ActiveCellTool-Content {
flex: 1 1 auto;
}
.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
background: var(--jp-cell-editor-background);
border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
border-radius: 0;
min-height: 29px;
}
.jp-ActiveCellTool .jp-InputPrompt {
min-width: calc(var(--jp-cell-prompt-width) * 0.75);
}
.jp-ActiveCellTool-CellContent > pre {
padding: 5px 4px;
margin: 0;
white-space: normal;
}
.jp-MetadataEditorTool {
flex-direction: column;
padding: 12px 0;
}
.jp-RankedPanel > :not(:first-child) {
margin-top: 12px;
}
.jp-KeySelector select.jp-mod-styled {
font-size: var(--jp-ui-font-size1);
color: var(--jp-ui-font-color0);
border: var(--jp-border-width) solid var(--jp-border-color1);
}
.jp-KeySelector label,
.jp-MetadataEditorTool label,
.jp-NumberSetter label {
line-height: 1.4;
}
.jp-NotebookTools .jp-select-wrapper {
margin-top: 4px;
margin-bottom: 0;
}
.jp-NumberSetter input {
width: 100%;
margin-top: 4px;
}
.jp-NotebookTools .jp-Collapse {
margin-top: 16px;
}
/*-----------------------------------------------------------------------------
| Presentation Mode (.jp-mod-presentationMode)
|----------------------------------------------------------------------------*/
.jp-mod-presentationMode .jp-Notebook {
--jp-content-font-size1: var(--jp-content-presentation-font-size1);
--jp-code-font-size: var(--jp-code-presentation-font-size);
}
.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
flex: 0 0 110px;
}
/*-----------------------------------------------------------------------------
| Side-by-side Mode (.jp-mod-sideBySide)
|----------------------------------------------------------------------------*/
.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
margin-top: 3em;
margin-bottom: 3em;
margin-left: 5%;
margin-right: 5%;
}
.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
display: grid;
grid-template-columns: minmax(0, 1fr) min-content minmax(
0,
var(--jp-side-by-side-output-size)
);
grid-template-rows: auto minmax(0, 1fr) auto;
grid-template-areas:
'header header header'
'input handle output'
'footer footer footer';
}
.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
grid-template-columns: minmax(0, 1fr) min-content minmax(
0,
var(--jp-side-by-side-resized-cell)
);
}
.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
grid-area: header;
}
.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
grid-area: input;
}
.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
/* overwrite the default margin (no vertical separation needed in side by side move */
margin-top: 0;
grid-area: output;
}
.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
grid-area: footer;
}
.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
grid-area: handle;
user-select: none;
display: block;
height: 100%;
cursor: ew-resize;
padding: 0 var(--jp-cell-padding);
}
.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
content: '';
display: block;
background: var(--jp-border-color2);
height: 100%;
width: 5px;
}
.jp-mod-sideBySide.jp-Notebook
.jp-CodeCell.jp-mod-resizedCell
.jp-CellResizeHandle::after {
background: var(--jp-border-color0);
}
.jp-CellResizeHandle {
display: none;
}
/*-----------------------------------------------------------------------------
| Placeholder
|----------------------------------------------------------------------------*/
.jp-Cell-Placeholder {
padding-left: 55px;
}
.jp-Cell-Placeholder-wrapper {
background: #fff;
border: 1px solid;
border-color: #e5e6e9 #dfe0e4 #d0d1d5;
border-radius: 4px;
-webkit-border-radius: 4px;
margin: 10px 15px;
}
.jp-Cell-Placeholder-wrapper-inner {
padding: 15px;
position: relative;
}
.jp-Cell-Placeholder-wrapper-body {
background-repeat: repeat;
background-size: 50% auto;
}
.jp-Cell-Placeholder-wrapper-body div {
background: #f6f7f8;
background-image: -webkit-linear-gradient(
left,
#f6f7f8 0%,
#edeef1 20%,
#f6f7f8 40%,
#f6f7f8 100%
);
background-repeat: no-repeat;
background-size: 800px 104px;
height: 104px;
position: absolute;
right: 15px;
left: 15px;
top: 15px;
}
div.jp-Cell-Placeholder-h1 {
top: 20px;
height: 20px;
left: 15px;
width: 150px;
}
div.jp-Cell-Placeholder-h2 {
left: 15px;
top: 50px;
height: 10px;
width: 100px;
}
div.jp-Cell-Placeholder-content-1,
div.jp-Cell-Placeholder-content-2,
div.jp-Cell-Placeholder-content-3 {
left: 15px;
right: 15px;
height: 10px;
}
div.jp-Cell-Placeholder-content-1 {
top: 100px;
}
div.jp-Cell-Placeholder-content-2 {
top: 120px;
}
div.jp-Cell-Placeholder-content-3 {
top: 140px;
}
</style>
<style type="text/css">
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*
The following CSS variables define the main, public API for styling JupyterLab.
These variables should be used by all plugins wherever possible. In other
words, plugins should not define custom colors, sizes, etc unless absolutely
necessary. This enables users to change the visual theme of JupyterLab
by changing these variables.
Many variables appear in an ordered sequence (0,1,2,3). These sequences
are designed to work well together, so for example, `--jp-border-color1` should
be used with `--jp-layout-color1`. The numbers have the following meanings:
* 0: super-primary, reserved for special emphasis
* 1: primary, most important under normal situations
* 2: secondary, next most important under normal situations
* 3: tertiary, next most important under normal situations
Throughout JupyterLab, we are mostly following principles from Google's
Material Design when selecting colors. We are not, however, following
all of MD as it is not optimized for dense, information rich UIs.
*/
:root {
/* Elevation
*
* We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
*
* https://github.com/material-components/material-components-web
* https://material-components-web.appspot.com/elevation.html
*/
--jp-shadow-base-lightness: 0;
--jp-shadow-umbra-color: rgba(
var(--jp-shadow-base-lightness),
var(--jp-shadow-base-lightness),
var(--jp-shadow-base-lightness),
0.2
);
--jp-shadow-penumbra-color: rgba(
var(--jp-shadow-base-lightness),
var(--jp-shadow-base-lightness),
var(--jp-shadow-base-lightness),
0.14
);
--jp-shadow-ambient-color: rgba(
var(--jp-shadow-base-lightness),
var(--jp-shadow-base-lightness),
var(--jp-shadow-base-lightness),
0.12
);
--jp-elevation-z0: none;
--jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
0 1px 1px 0 var(--jp-shadow-penumbra-color),
0 1px 3px 0 var(--jp-shadow-ambient-color);
--jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
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<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
<main>
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=e3666bcd">
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<img alt="No description has been provided for this image" src="https://upload.wikimedia.org/wikipedia/commons/thumb/3/39/VU_logo.png/800px-VU_logo.png?20161029201021" width="350"/>
<h3 id="Programming-large-scale-parallel-systems">Programming large-scale parallel systems<a class="anchor-link" href="#Programming-large-scale-parallel-systems">¶</a></h3><h1 id="Traveling-sales-person">Traveling sales person<a class="anchor-link" href="#Traveling-sales-person">¶</a></h1>
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<h2 id="Contents">Contents<a class="anchor-link" href="#Contents">¶</a></h2><p>In this notebook, we will learn</p>
<ul>
<li>How to parallelize the solution of the traveling sales person problem</li>
<li>How to fix dynamic load imbalance</li>
<li>The concept of search overhead</li>
</ul>
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</div>
</div>
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<h2 id="The-traveling-sales-person-(TSP)-problem">The traveling sales person (TSP) problem<a class="anchor-link" href="#The-traveling-sales-person-(TSP)-problem">¶</a></h2><h3 id="Problem-statement">Problem statement<a class="anchor-link" href="#Problem-statement">¶</a></h3><ul>
<li>Given a graph $G$ with a distance table $C$ and an initial node (i.e. a city) in the graph</li>
<li>Compute the shortest route that visits all cities exactly once, without returning to the initial city.</li>
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<h3 id="Branch-and-bound-algorithm">Branch and bound algorithm<a class="anchor-link" href="#Branch-and-bound-algorithm">¶</a></h3><ul>
<li>The root is the initial city</li>
<li>The children of a node are the neighbor cities not visited so-far</li>
<li><strong>We sort the children using the nearest city first heuristic</strong></li>
<li>A node will be a leaf of the tree when all neighbor cities are already visited</li>
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" 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<ul>
<li>Number of possible paths might be up to O(N!)</li>
<li>Visiting all paths is impractical (even in parallel)</li>
</ul>
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<h3 id="Pruning-the-search-tree">Pruning the search tree<a class="anchor-link" href="#Pruning-the-search-tree">¶</a></h3>
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<ul>
<li>Only 3 out of 6 routes need to be visited</li>
</ul>
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" 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<h2 id="Serial-implementation">Serial implementation<a class="anchor-link" href="#Serial-implementation">¶</a></h2>
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<h3 id="Nearest-city-first-heuristic">Nearest-city first heuristic<a class="anchor-link" href="#Nearest-city-first-heuristic">¶</a></h3>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
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<div class="highlight hl-julia"><pre><span></span><span class="k">function</span><span class="w"> </span><span class="n">sort_neighbors</span><span class="p">(</span><span class="n">C</span><span class="p">)</span>
<span class="w"> </span><span class="n">n</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">size</span><span class="p">(</span><span class="n">C</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
<span class="w"> </span><span class="n">map</span><span class="p">(</span><span class="mi">1</span><span class="o">:</span><span class="n">n</span><span class="p">)</span><span class="w"> </span><span class="k">do</span><span class="w"> </span><span class="n">i</span>
<span class="w"> </span><span class="n">Ci</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">C</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="o">:</span><span class="p">]</span>
<span class="w"> </span><span class="n">cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">sortperm</span><span class="p">(</span><span class="n">Ci</span><span class="p">)</span>
<span class="w"> </span><span class="n">distances</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">Ci</span><span class="p">[</span><span class="n">cities</span><span class="p">]</span>
<span class="w"> </span><span class="n">collect</span><span class="p">(</span><span class="n">zip</span><span class="p">(</span><span class="n">cities</span><span class="p">,</span><span class="n">distances</span><span class="p">))</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
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<div class="cm-editor cm-s-jupyter">
<div class="highlight hl-julia"><pre><span></span><span class="n">C</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">[</span>
<span class="w"> </span><span class="mi">0</span><span class="w"> </span><span class="mi">2</span><span class="w"> </span><span class="mi">3</span><span class="w"> </span><span class="mi">2</span>
<span class="w"> </span><span class="mi">2</span><span class="w"> </span><span class="mi">0</span><span class="w"> </span><span class="mi">4</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="mi">3</span><span class="w"> </span><span class="mi">4</span><span class="w"> </span><span class="mi">0</span><span class="w"> </span><span class="mi">3</span>
<span class="w"> </span><span class="mi">2</span><span class="w"> </span><span class="mi">1</span><span class="w"> </span><span class="mi">3</span><span class="w"> </span><span class="mi">0</span><span class="w"> </span>
<span class="p">]</span>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
<div class="cm-editor cm-s-jupyter">
<div class="highlight hl-julia"><pre><span></span><span class="n">C_sorted</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">sort_neighbors</span><span class="p">(</span><span class="n">C</span><span class="p">)</span>
</pre></div>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
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<div class="highlight hl-julia"><pre><span></span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">3</span>
<span class="n">C_sorted</span><span class="p">[</span><span class="n">city</span><span class="p">]</span>
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<h3 id="Loop-over-all-paths">Loop over all paths<a class="anchor-link" href="#Loop-over-all-paths">¶</a></h3>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
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<div class="highlight hl-julia"><pre><span></span><span class="k">function</span><span class="w"> </span><span class="n">visital_all_paths</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="n">path</span><span class="o">=</span><span class="n">zeros</span><span class="p">(</span><span class="kt">Int</span><span class="p">,</span><span class="n">num_cities</span><span class="p">)</span>
<span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">city</span>
<span class="w"> </span><span class="n">visital_all_paths_recursive!</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">)</span>
<span class="k">end</span>
<span class="k">function</span><span class="w"> </span><span class="n">visital_all_paths_recursive!</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">)</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">!=</span><span class="w"> </span><span class="n">num_cities</span>
<span class="w"> </span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span>
<span class="w"> </span><span class="n">next_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="n">connections</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">C_sorted</span><span class="p">[</span><span class="n">city</span><span class="p">]</span>
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="p">,</span><span class="n">distance_increment</span><span class="p">)</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">connections</span>
<span class="w"> </span><span class="n">already_visited</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">view</span><span class="p">(</span><span class="n">path</span><span class="p">,</span><span class="mi">1</span><span class="o">:</span><span class="n">hops</span><span class="p">))</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="o">!</span><span class="w"> </span><span class="n">already_visited</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">next_hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">next_city</span>
<span class="w"> </span><span class="n">visital_all_paths_recursive!</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">next_hops</span><span class="p">,</span><span class="n">path</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nb">nothing</span>
<span class="w"> </span><span class="k">else</span>
<span class="w"> </span><span class="c">#@show path</span>
<span class="w"> </span><span class="n">println</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nb">nothing</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
</pre></div>
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<div class="highlight hl-julia"><pre><span></span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="n">visital_all_paths</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
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" 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<h3 id="Serial-implementation-without-pruning">Serial implementation without pruning<a class="anchor-link" href="#Serial-implementation-without-pruning">¶</a></h3><ul>
<li>Now, we add the computation of the minimum distance</li>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
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<div class="highlight hl-julia"><pre><span></span><span class="k">function</span><span class="w"> </span><span class="n">tsp_serial_no_prune</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="n">path</span><span class="o">=</span><span class="n">zeros</span><span class="p">(</span><span class="kt">Int</span><span class="p">,</span><span class="n">num_cities</span><span class="p">)</span>
<span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">city</span>
<span class="w"> </span><span class="n">distance</span><span class="o">=</span><span class="mi">0</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">typemax</span><span class="p">(</span><span class="kt">Int</span><span class="p">)</span>
<span class="w"> </span><span class="n">tsp_serial_no_prune_recursive!</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="k">end</span>
<span class="k">function</span><span class="w"> </span><span class="n">tsp_serial_no_prune_recursive!</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">!=</span><span class="w"> </span><span class="n">num_cities</span>
<span class="w"> </span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span>
<span class="w"> </span><span class="n">next_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="n">connections</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">C_sorted</span><span class="p">[</span><span class="n">city</span><span class="p">]</span>
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="p">,</span><span class="n">distance_increment</span><span class="p">)</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">connections</span>
<span class="w"> </span><span class="n">already_visited</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">view</span><span class="p">(</span><span class="n">path</span><span class="p">,</span><span class="mi">1</span><span class="o">:</span><span class="n">hops</span><span class="p">))</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="o">!</span><span class="w"> </span><span class="n">already_visited</span>
<span class="w"> </span><span class="n">next_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">distance</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">distance_increment</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">next_hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">next_city</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_serial_no_prune_recursive!</span><span class="p">(</span>
<span class="w"> </span><span class="n">C_sorted</span><span class="p">,</span><span class="n">next_hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">next_distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="k">else</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">min</span><span class="p">(</span><span class="n">distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="c">#@show path, distance, min_distance</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
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<div class="highlight hl-julia"><pre><span></span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_serial_no_prune</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
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<h3 id="Final-serial-implementation">Final serial implementation<a class="anchor-link" href="#Final-serial-implementation">¶</a></h3><ul>
<li>Now, we add pruning</li>
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<div class="highlight hl-julia"><pre><span></span><span class="k">function</span><span class="w"> </span><span class="n">tsp_serial</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="n">path</span><span class="o">=</span><span class="n">zeros</span><span class="p">(</span><span class="kt">Int</span><span class="p">,</span><span class="n">num_cities</span><span class="p">)</span>
<span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">city</span>
<span class="w"> </span><span class="n">distance</span><span class="o">=</span><span class="mi">0</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">typemax</span><span class="p">(</span><span class="kt">Int</span><span class="p">)</span>
<span class="w"> </span><span class="n">tsp_serial_recursive!</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="k">end</span>
<span class="k">function</span><span class="w"> </span><span class="n">tsp_serial_recursive!</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">distance</span><span class="w"> </span><span class="o">&gt;=</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">!=</span><span class="w"> </span><span class="n">num_cities</span>
<span class="w"> </span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span>
<span class="w"> </span><span class="n">connections</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">C_sorted</span><span class="p">[</span><span class="n">city</span><span class="p">]</span>
<span class="w"> </span><span class="n">next_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="p">,</span><span class="n">distance_increment</span><span class="p">)</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">connections</span>
<span class="w"> </span><span class="n">already_visited</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">view</span><span class="p">(</span><span class="n">path</span><span class="p">,</span><span class="mi">1</span><span class="o">:</span><span class="n">hops</span><span class="p">))</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="o">!</span><span class="w"> </span><span class="n">already_visited</span>
<span class="w"> </span><span class="n">next_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">distance</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">distance_increment</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">next_hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">next_city</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_serial_recursive!</span><span class="p">(</span>
<span class="w"> </span><span class="n">C_sorted</span><span class="p">,</span><span class="n">next_hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">next_distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="k">else</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">min</span><span class="p">(</span><span class="n">distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="c">#@show path, distance, min_distance</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
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<div class="highlight hl-julia"><pre><span></span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_serial</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
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<h3 id="Performance">Performance<a class="anchor-link" href="#Performance">¶</a></h3>
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<div class="highlight hl-julia"><pre><span></span><span class="n">n</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">12</span><span class="w"> </span><span class="c"># It is safe to test up to 12</span>
<span class="k">using</span><span class="w"> </span><span class="n">Random</span>
<span class="k">using</span><span class="w"> </span><span class="n">Test</span>
<span class="n">Random</span><span class="o">.</span><span class="n">seed!</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="n">C</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">rand</span><span class="p">(</span><span class="mi">1</span><span class="o">:</span><span class="mi">10</span><span class="p">,</span><span class="n">n</span><span class="p">,</span><span class="n">n</span><span class="p">)</span>
<span class="n">C_sorted</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">sort_neighbors</span><span class="p">(</span><span class="n">C</span><span class="p">)</span>
<span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="nd">@time</span><span class="w"> </span><span class="n">min_no_prune</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_serial_no_prune</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
<span class="nd">@time</span><span class="w"> </span><span class="n">min_prune</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_serial</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
<span class="nd">@test</span><span class="w"> </span><span class="n">min_no_prune</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="n">min_prune</span>
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<h2 id="Parallel-implementation">Parallel implementation<a class="anchor-link" href="#Parallel-implementation">¶</a></h2>
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<h3 id="Where-can-we-extract-parallelism-?">Where can we extract parallelism ?<a class="anchor-link" href="#Where-can-we-extract-parallelism-?">¶</a></h3>
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" 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<h3 id="Option-1">Option 1<a class="anchor-link" href="#Option-1">¶</a></h3><ul>
<li>We assign a branch to each worker</li>
<li>Pros? Cons?</li>
</ul>
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" 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<h3 id="Option-2">Option 2<a class="anchor-link" href="#Option-2">¶</a></h3><ul>
<li>We assign a fixed number of branches to each worker in advance</li>
<li>Pros? Cons?</li>
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DJWjPwCrS9UVIzcO5Qk9I6KFzn/bxblheCuBPcjcJ8A925wB4I7CNzx4K6mcbZ5B24muG3Li1VERKQS3N7g5tWdEJ+xO2k9I21BpYqRe4+ShN5UwX3yf0lCp8sT4HYuPj4REZFKca/3EoTne+SOWcXvWkpOckwS3CRw24ObAm4bcKvmEqG0MpnKPN1z3wZ3S8JTgmbLdHDfAbdCcTGJiIhUktsN3IveI/UdYkfVRo/0f5acZEgS3AbgPgvu78PJb9KF4IPgTgC3UTHhy7AK1Qm51cC9azhp+DW4S4aXC8CdAe6L4HYHp+OGiIgMIreL9/h9DrjXxI6qhR4bSUVy0kWS4LYmuV95q2UhuGNQYWrRakn+7SjJFxERqRq3M7hZdRdIc60LRiUN0JjskqCbJOEdTRKBeeAeB3c3uKeb/MyZ9O6Qv71mVzR3iYiISFW4bcE9V3dR9KI9Wq+cbelsdtd14oQpBcuaJDwC7pvDT87GeD+3GbjTEhKFQ/L/GNJCp7OgvyxOmCIiIn3LvQLcjLqLoflUa3KgToqRHwaOQMXI/a7bJOFGcPuleyrgDvaShOngRmULW7owGStyfp7W+76GMBYREcmP2wbcs16CsG/sqIbV+infSfvk4Obhn9VF3GDoJkkYB67DehR3oZco7NZ5qJKTChU5i0jVaGcXyZ17Alir7o2Hgf922MiRMHR/biHBBOCDwBdpjC3J1cB3sKcMMjg+Dfy47vXjFDKmvnsb8Lu6Nz4FQz/Lfz3SgTHAO4Ev0L7W6DbgZ1i3pXkFxyUiItJP3JwmhZqdLDvlFIyKkSWtkiZTc9t62/pXi1mPdKlW5LyE1scMFTmLiIh0phJJgoqRpVNlJQmv97b1jxezHsloG+wYsoDWxxAVOYv0KfU1FsnfoWTft6Z28TsjgH2G179nm599GDh5eJnZxbpEujXFe31rjCCkrVuxmqQjgI9jtQtJgxeMx445nwL+AnwTuL6kGEVERKSFZbCT+V20Lz68CRUjS7ISniS48eCm1T1FeBzNldArxmOJwqOoyFlERKTSVsXu8j1B6xP2EuAS7KQt0kwZScJP1NWo59VGSLuN9snCbcBBwLJRIhURERkw62N9gOeSrhh5izhhSo8pOElwB4BbUpcgXI/mSOh1aYucp2FFzitHiVJERKTPbUdnxchrxwlTelSBSYLbBtzsugRhJrgN8mtfIktb5DwbOzZNihOmiIhI/xiBdRO6hPaP9h/Cuh9NiBKp9LqCkgS3iVeHsIBqzT4u+VkDe2LQbibnxdgTiB2jRCkiItLDVIwsZSsgSXCTwD1clyAsBvfO7O1KxanIWUREJGcTsacBT6JiZClXzkmCWxfc1LoEYQm4g7KHKT1kNHAgNiRqu2ThPiyxUJGziIhInU6LkTePE6b0sRyTBLcWuPtpHMno0HzClB6lImcREZEO1IqRF9H6xPkCKkaWYuWUJLjVwd3lJQifzy9M6XFbA6cAL9G+yPkUYKM4YYqIiJSvVox8Fe0fwU/FHsGPjRKpDJIckgQ3EdztXoJwZL5hSp+oFTk/R7oi552iRCkiIlKCWjHy3bRPDm5ExchSroxJglsR3A1egnBU/mFKn6kVOT+CipxFRGTATMTumD1Dujtme0aJUgZdhiTBTQD3Xy9B+H4xYUqfqhU5X0f6IuflokQqIiKS0QakK0aeh4qRJb4ukwQ3Adx1XoJwQnFhygBIW+T8NCpyFhGRHtJpMfJaccIUadBFkuDGgvuXlyCcWGyYMkA6LXLeOE6YIiIizdWKka+m/aPyB1ExslRPN0nCUV6CsBjcjcO1CWmXbxX7saQPqMhZRER6Tq0Y+R7aJwc3oGJkqa5ukoRjvSShm+U3xX4s6SPj6KzI+UBgZJRIRURkYKkYWfqNkgTpFbUnt2mKnO9HRc4iXdEwYiKd2QA4FPgYrU8684HzgG9jQ56KVN2ngR/XvX4cWLf1r7gNgPUyrvdpGLo9YxsyuHYFjgD2ofU1zXTg58BPgBklxCUiIgNiV+yiv10x8jPA8agYWXpPTjMui0SxMTYQRLsi5zlYkfMmccIUEZF+UHukfQ3pi5GXjxKpSHZKEqQfrI51BZ1Buq6gO0eJUkREetKydF6MrOI46XVKEqSf1IqcH0ZFziIiktFq2B2oZ0l3B2qXKFGKFENJgvSj2hPha1GRs4iIdGhDrC/ri7Q+gdRmRt40TpgihVKSIP2u05mcV4kSpYiIRJe2GHk6Voy8ZpwwRUqhJEEGxUakK3Ku3RhSkbOIyADopBj5AVSMLINDSYIMmk6LnF8VJUoRESnUOOAg4F5UjCySREmCDCqdH0REBpCKkUXSUZIgg672pPk/6EmziEjfUjGySGeUJIgslbbIeTp2I2rVKFGKiEhqOrCLdEdJgkhIN5xERHqYHhGLZKckQaQ5dV0VEekhKjYTyY+SBJH2dN4REakwDVsnkj8lCSLpaThtEZEK0QQ4IsVRkiDSHU3MKSISSdpi5KexJwyrRIlSpLcpSRDJRkXOIiIlqD3KvZb2j3Lvxx7lLhclUpH+oCRBJB8qchYRKcA47IL/YdonB1cBB6KiMJE8KEkQydcyWOHyPajIWUSka50WI+8cJUqR/qUkQaQYnRQ5P4iKnEVEANiYdMXIc4BTUDGySFGUJIgUL22R8zNYkfNaccIUgaHYAQy4UcB6wARgRayrzRJgLvACdlf90eH3+s2uwBHAPrTeDqcDPwd+gv09RCRfawNrAB/AEoWa6cAU7M7mgvLDEulrGwCHAh+jdT3dfCyp+DZwdwlxxbASMAm7BhoLrADMxK6F5gAPAbOiRSdSghHANsDhwPnYzr6A9o8eXwJuBX4NfBy7896rao9cr0PFyCIxrIv1ez4d6wM9m/b74iJsnPc/A18GdsRucIhIdhOxrrbPkK6r7Z5RoszPBOw64ATgSmxUwnbHIAc8CVwOfBd4A5ZQiPS8HbC74NNJtyOkWR4GvgVsVt7HyKRWjPwIKkYWKdvLgCOBu8jvGPQClmjsjiX/IpJNrcj5btIXOfdKsj4e+BB2kd+um1XaZSHwN+A9qH5Desxo4IPAneR3Um62XAPsTzW7jq2B3SF5jnR3SHaKEqVIf3otdhJdTLHHoEewJ6Rjy/lYIn2t9sT9atrve7Ui56rue+sDJ2Pdhoo8Bs3CahvXLedjiXRnBHAQ6YbvzHu5HTig8E+YztZYkXG7YuTZwz/Xy12oRKpmCvZEruxj0HTgS9gdURHJbjts0rV2d99fwC6Sq1LkPBk4C7vbX+YxaD7wS6rzdxD5n1cC/6X9RjwPuAI4Dngf1h1pHaxwB6ybzUpYF4FdgY8A38P68ad5TPdXrCAqhk5nRl45SpQi/WkN7MTcbv9bgtU5/Rirc9oNu+O3EvYUFKzf8FrAtsA7gaOwY8ucNm074D5gryI/qMiA2QBLAtrdka/N5Lx5nDAZA3yFdE8OHgPOAD6LDWCyKbAqS+sQl8fqNTYD9gO+AJwDPJWi7ZnYExZ1W5boRmHDlLV6pD8XOBsrtslSiDsBeDtwIa2Lnl8CPpVhPZ0YjdUQpClGvg8VI4sU4UDgeZrve4uBy7BukBMzrGc01o3plDbrc8BpVLcbhEgvmoiNCvgkrfe9GEXOWwB3tInrbiyJyNp7YAvsRuODbdZ3PfFumoqwLq0f6z8OfAYr2snbasA3aH2i/j02tGoRxtNZMfK+VLNuQqSXLQv8jOb73ovYE4PJBa37Q8C9LdZ/J3ZCF5H8dFLkfCPFFzl/mOZPD5ZgCcsuBax3CBs84ZIm63ZYV6wDC1i3SEvb0Xzoruex8cbL6Ju7ApYsNOv/fzc2/nBeVIwsUg0r07y4cRHwU+xmQtFGYiOMPNEkljnA60uIQ2TQ1Iqc09QgTSX/IucRWDeoZuu8FBv6vQw7Av9pEcvRJcUhwh5YNX3ShngWsHqEmDYE/tEkpseBLTO230kx8onkm5iISKN1aP5o/wbsJkbZxmNjnyd1vVyAJRIiUoxOi5zXzri+MViNQNI6ngbenbH9bowAPkrzm5gnozoFKdgeWHGQv/HNIs5OUW8I+CLJIwo8S3fFTGmLkaehYmSRMqxJcl/cJcAPsZN3THtix4Ok+N4XMS6RQbA+6Yqc59N9kfNI4A9N2r0MO0bFNBm4luT4foW6PktBtiP5CcIDwCYR4/LtiiUFfpyPkm4c4Vox8vUJbfhLrRh52Vw/gYgkmQDcQrgfvkh1hkAGu0hIOn4sAN4YMS6RQZG2yHkJ1qd/35TtDgG/aNLWd6nOnfoxWO+HZnGK5GpdkmsQbsb66VfNZlhS4Md7B82nM68VIyf9nr+oGFmkXKOwu3T+vvg8dmOgasaR3AVyDvCKiHGJDJJakXOaGddvon2R89cSfm8JNpRpFR1D8mf9ZMygpL+MIrkw6Gbszl5VTcLGIvbjPsv7uVoxcrshDWvFyDsWH7qIeI4l3CdnYnMZVNUYbNbnpCeQK0SMS2TQ1IqcW40EVFsewp5C+Nc3u5Nc83BI8eFn8mXCmOdj81uJZPZtkrsYVfEJgm8LYAZh/B/GRh04k9ZzLjhUjCwS216EBcHzsInQqm4cyfOo/CZmUCIDrFbk3G5G5JksLXJeneSuS18vOfZunUAY+4NU+0av9IBXEmbOs8ivBqE2w3KRw6XuQfgZ0kyX/jhWCK2dSCSesSTPR/KBmEF1aDWSh0h9S8ygRAbchsBJpJvJ+YGE98/OIYZVseusN2NdnQ7CBoHZB+s2PSKHdTDczp8JP8NJObUvA2gEyRXy3Y7QsQJ2UjwRuJLwDv+LWM3AqVjh8OgMsfuOpvVBoH65DdtRVYwsEt/xhPvo6QWvcw9sKFV/+VqGNl9DeHPiUZrXSIlIOVbFuhc1m+skaemmy+BoYHvgUODXwMMp1jML+BOwH9mLoldKWOdi1IVaunQQ2TPnsVhS8Q/ad+vxlyeBT5FPcfBI4Jo261Mxski1bEJ43JhKvhMi+caSfNfQYTcwskiqqzg2Y5siko+0Rc6L6K4W6ltt2m233ED2QQ+mEA7pfi267pEOjcaKd+o3pJl0Pv7v7WTbKRw2a+GKmT6N2YrwTl5tyvQdcmhfRPJ1BuHx4E0Fr/MnCevMK0lYjnCOhznYnUwRqYZ2Rc4/6rLdrEmCwwqOs3ZTPCuh3TdkbFMGzAcJN6JPd9HOvQnt1JangVuxJOAakodYrS3/wYYozeqnCW3vkkO7IpKvyYRPES4seJ07kzxjcl5JAsD+Ce0enUO7IpKvIcKkfhrdj0zmJwkvYMM6nwx8Bes5cTA2GtFpCeuuLQvINjLR6oRzXl2doT0ZQHfQuAE9QXfFxfVJwmJsOMCPYAVDSbYDfkfyjvHTLtbvWwt4yWv3ghzaFZF8/YjwqV+Rw50uR+Px6n7CGxd5JAlg3Qbq252BaqBEqmYfwuuQL2Zo7xvYTdHDgC1pX5Q8BOxNcvfHm8jWRSip1ks3TCWVHQg3ns902da9WDelY4F1Ovi9gwj7zS0CNu0yjnonee0uxDJrEamGUdgdu/r99C8Fr/N7detaAuxJOLFiXknCAYTH2Lfn1LaI5MO/YTmDbD0aur2on0hyr4wsBcerEY7q9IsM7ckA8fvkzqX7x2uHACt3+btJme5RXbZVb7OEdg/LoV0Rycd+hPtokX1md6BxmORaMlBUkjCCcFjXP+fUtohktxJhr4MfRIxnb8Jj4tEZ2zzNa+8F7ImqSFNDhI/Yz4kUyzisqK+IfnPXe+1ek1O7IpLdOTTun09iTxeKMIbGARaewi4QoLgkAeA4r+2F5DNAg4hk90HCi/JtIsYzEuuVUR/PaRnb3I3wM745Y5t9Ja9JKvrJVthjqHp5TBjSjTnAv7z3Oumy1Iqf+GxP909LRCQ/Q8Du3nu/xe70F+FrWP/gmkOB5wtaVz3/GDQKeG0J6xWR9vbwXt+BDbQSy2KsNrRe1sFcrsQmja3nf+6BpiQh5J+cF2AbUiz+BrxS4k917u/e61HAq3NqW0S6tzmwhveev7/mZRtsEqWav2D9kMtwF9blqN6UktYtIq3t5r3+W5QoGvnzw0zP2N4SbJjXev7nHmhKEkL+hfJ/sJmQY/HrGZ7Jqd17CLPyrIS+JAAAIABJREFU1+TUtoh0zz8GLcAmOszbKOD/WDqz+yxs+MEyXeG91jFIJL4NgLW9966IEEe9lwHreu9dl0O7l3qvN0fztvyPkoTQZt7r2GPnbuW9fjjHtv3P5n92ESmfvx/eig2ekLcvYUMu13wZeKyA9bTiH4M2Reclkdg2T3gv9rXQ12gcHWkm8Mcc2vU/1xD5jCLZF3QwbjQKy6Dr3RMjkGE7ARt77/01x/bv9V776xKR8vknqCKOQZsCR9a9vhab0Khs/mdbnvAOpoiUaxPv9TRs5J8YlgG+DXzUe/8rwOwc2n+UsLeIroWGFTVaRq+ahI30Ue/+GIEM+5r3eiHw+xzb95OE9bERBBbnuA4R6Yw/0eJ9Obc/AhulqDZ52QJsgsclOa8nDf8YBHaCLvuJhogsVfQxqN5ahBMpLoddj+wMvAfralTvB9h8T3lYgl3n1Y/cpCRhmJKERknzGfiFw2V5J/BG771fkG93I/+zjcZGOCpjZBMRSeYfh/zaoaw+S+PMot/CiohjmI4lKfU3Z7qdV0ZE8lH0Majeb0hfi/QwNtDCeTnH8ASNSYKOQcPU3ajRuIT38nic1amNCLPk6diU5nlK+mxJfwMRKY+/D+Z5DFqPxgmI7sEmbYxpjvc667CGIpKNvw/OihLFUrOxmxsbk3+CUGu/no5Bw5QkNPJPzo7wBFa08VgxTv1Qpw7rj5d1uC9f0sWH5koQiWc5wie8eSUJI4BfsXQYwSXYcWV+Tu13y78A0TFIJC7/Wqjs6yDfeOCHwL8pZuZ5HYOaUHejRs57PURjNX3RlgHOB7bw3v8+cFEB60tKEmP0SxYRk7T/5XUMOoTGx/onEX/EEgiPQzoGicSVdC1UlItoHMBgeewifSOsgLr++LAjNpfLKcAnya9+UscgSWUK4RTdK5a07tHABQnrP5vinvhsn7C+vGZ0FpHuLKBxnzwwhzYnYXfLam0+AUxI8XuPerGcmkMsvue9dXyogHWISHoX07hP/iJSHKsBXyQ8RuR9LDrPa9ufDX5gqbtRo6TH+mlOpFmNBM4E9vPevxD4IMVltUn97mLUYIjIUv4+mMej71No3N8/gY0zHtsQxdZgiEjnijgGdWM68F1gS+B2798+AhyQ03r8zxe7e1VlKElolDSbsT/0Vt5q/YTf6b1/KfAOYFGB657kvZ6HTtAisT3rvfb30059BHh93etzsaeWVbA2YbfXvGaVF5Hu+Megoq+D2nkCeB3hyItfz6l9//PpGDRMSUKjxyl3Uo0h7DHee733rwL2xy7ai+RPmPIA6osnEps/JnnWY1D96EXPAYdlbC9P/jEIkudOEJHy+MegpP20bNOw4uV625D9+Jg0ia6OQcOUJDSqTapRb7MC1/c97C5fveuAfYC5Ba63xv9sRU6YIiLp+CeorMeg+kfpK2MnW79/b7NlXa+tjyT8zIczxOZ/tlnD8YlIPP4xaGVg9RiBeP6c8N4OGdvcgHASXV0LDVOSELrTe512ko9OHQ98znvvFmwCtTLGJB4B7Oq95392ESnfHd7rLenfyX3846uOQSLxJe2Hry49itDDCe9NzNimfwxaTONoSwNNSULoX97rbcl/hKPjsFkD690G7Il1ByjDywkvPK4oad0i0px/DBoBvDZGIAUbwkaUq3dF+WGIiOdx4EHvvd1iBOIZnfDegoxt7uG9vplqDOpQCZonIXSp93okVjCT1yx/3wS+4r13z/A6ZuS0jjTe6L2eB1xT4vpFJNlU4CFsduSaN2KTLHbjJpJPrmlsReOj+GeBR7yf8Ysc09qB8C7g5V22JSL5uozGvvpvwBJ7fw6FMq2X8F6W7omjsZuz9XQMkram0tjnNq+JzI4i7M97L7BmTu134h4vjn9EiEFEkp1C4/75AjYbc9mKnCfhJ17bc7GJlEQkvgMJr1eK6n6d1rcIY9oyQ3v7JbS3V8YYZQAcR+NGs5DsRTufI9wY7wfWythuN3ZIiEUTGIlUxxTCfdQfJrkMRSUJY7BhBjWBkUg1LYd1uyl6MsW0JmFDtNfHMzVjm7/32nsK9bCRFDYmPEF/M0N7n0lo7xFgcqYou/dbL5YXKWfSOBFJZwjrclS/n14XIY6ikoSPEh4T986pbRHJx2k07qMv0X3Ph7fR/ZOIyVivC/+Y8bUu2wNYH7sBXN/e9zO0JwPmGho3nufp7kL6MMIN+1GS+9aVYRNsgrb6eM6IFIuINHcM4bHD7z9btCKShJHYU1T/mDgyh7ZFJD+7Eh6Djm/5G819e/j3/wMcTrproMnAN7AZkP04HiRbF8xfeO0tIVvXJRkw+xNulN/osI2VsA3Pb+dZbAPvdlm/+48VPEVYDGyRoT0RKcZEwpPjNdhThrIUkSQkPUU4NId2RSR/V9G4r86iu27StSShfnkG+Cd2o/LHWAJyCtYN6H6Sr58cNgrktt1+IGAjYL7XZl61pzIghrBhSes3onl0NvPgKiRv4FmXbmc/fC3hTvf7LtsSkeKdQLj/Z5m8rFN5JwkrA9O9NqehgmWRqnoj4THo1120k5QkdLM8Aryy609jLk5o91UZ25QB9BbCDekS0t/Jq1KSsBzhiEYLsSEORaSa1sTu3Pl331Yraf15JwmnEh7P9BRBpLqGCLtfO+D1HbbzAawXRbfXPXOwmoFxmT4NvCOhbT1FkK79mXCD+mLK310ZeyyW97JhF58j6eR8QhftiEi5Pku4715KOX34f47NEVNbDs7Q1tsJP8ftdD+Hg4iUYyvCIt+n6bzb0UisR8NRwN8JnyomPTX4I/ARYHzWD4GNkDTDW8c8bLAaka5sgFX0+3fgd40ZVIfeR7jzPQmsEDMoEUllFHAr4T781ZhBdWhjwuEUlwC7xAxKRFL7Eck3K7IOGToB2AY7FuyJDdG+CdYTI0/LAv8l/AxH5bweGUCfItywngU2jxlUSlOwTNk/Oe8bMSYR6cxW2FDF/n7cC/ObTATuIzyGfi9mUCLSkbHAnYT78VmUO5hCN0YSzongsKRhTIvfE0ktaQN7FHt8VVXbEd69c1gBkYj0loMJ9+UFwD4xg2pjJeBmwrj/g7oZifSaLQlvVlQ94R8inMHeYcPaxxqKXvrQisDdhBvaY1RzCNHdSU4Q8ng8KCJxnEm4T88H3h0zqCbWxmoO/Hifoto3V0SkufeTPDTpSVRvrpPRwNmEsS4C9osYl/SpScDjhBvcc9hFeVW8j7CLkcPu6KkOQaR3jQH+RrhvL8YGVKjKY/+XY0WHfpwzgVdEjEtEsvsyyYXG55NPgXEeVsaKo5PizDIAg0hLW5I8jNcirAAmZia9HPBLkneK+4E14oUmIjkZB1xL8n5+IXZyjOlgwsEe3PB7VbqZIiLdS5rDxQH3YjcJYtqZ5JsUDvh6xLhkQGxOOH54bbmGODvIHiR3h6o9QVCCINI/xmNztiTt749jw42WbX1svPGkmJ4HXh0hJhEpzjdI3t9fwm6aLltyPOOA72K1Wn5MS4DPlRyPDLB1gTtI3kEWAj+hu6nLO7Ux8NsmcdRqECaUEIeIlGsM8Bua7/v/IPvMpGmshF0sJBU01pIWTdoo0p8+ifWkSNr3HwAOBEYUHMMorJv1Y03imA+8t+AYRALjsOG/mp2k52HFPJsWsO7tsQuEZjvnEmwUIxUpi/SvIeBw7CTY7Dj0V+xJY94n6nWB40geIKG2/J3yZocWkTimAE/Q/DhwF/BBYPmc1zseOAhLRpqteyp2vSQSzYdpfaJ0wHXAodgkId0YgRX8HUnzbkW15Ulg7y7XIyK9Z3uS5yKoXx7BLup3pvubB5OAjwKXYcXSrW6QfJni7yCKSDWsBlxM62PQLOB0bNjmbgucVwTejI1aNLfN+s4d/nnpUlVGwugHawE/AN6Z4mefAK7GCnzuwS7qZwMvYCfVFbAN+2VYd6JNsRmeV03R9lPAZljSIiKDYxlshKOv0n6CoNnAVdjkSPdhCcRzwBysP++K2JPSNbBj0CbATsCGKeK4Avj4cLsiMljehnW3blcHuQibzOwW7FhxPzADOwa9iE3eNg677tkIOw69Apv/qd0AMU9iNzP+2tUnECnQu0keQ7jM5U2Ff0oRqaJlaN4vt6zlm4V/ShGpsnOIewy6Ht0El4oqc+d4ETgPy7zr378NPeYXGUSHEh4nkoYjzWtZjD2VqH9vDrB60R9URCppC8JayWaDGuS1PJfw3v5Ff1CRTm1F2E/3H8BhwH9oXmTcyfIS8E/gQyydGO1bCT/3riI/qIhUzlhgGo3Hgcex0YfeDlxAeEHfzbIE6yJwJFajsF/Cz5xY8GcVkWr6E+HxYjtsCORfYF2B8kgMHgV+CuyIdUma5f37HVRvBmgZcP4Y4YtpnDNhBWBfbBzfi7B+eAtpvhPMx/oMn48NMbgHNmGab0WsL1/9706lfb9kEekfXyU8hnzE+5nRwC7DP3suNodKq+K/xcBD2CzPP8KGM0yqjbqa8Ni1fm6fTER6wfaE3a1/m/Bzm2NDp56GHTuSJqitX6YD/8Imiz0Iq1HwJc3Z8L58PpZIdjsQ7hznpPi9UdidvvWArbFHdZOG3+uky9CXCHeQj3fw+yLSu1YifOR+L+lHMVoJG9J0M+zGxvrAKliNQxqvJjz+nJ7yd0WkP1xK4zFgEemHgK8NlLAR9uRhQ6zb4tiUvz8eeNpb/0OkP4aJFOoyGjfOBaQbCSQvy2FdC+pjeJL8xyUWker5LuFF+oElx/B3wguEzUuOQUTi2IvwGPSLkmP4fEIMnyw5BpHA3oQb5s8jxPGJhDi+ECEOESnPmoRdhm6h/MELtiN8mnp+yTGISPmGgGtp3Pdfwp5OlmlZrFahPo6n6X5OBpHMhoAbCXeOdSLEMppw5sHnsK4EItKfTia8OfD6SLH8LiGWnSLFIiLleCvhfv/9SLEclBDLlyPFIsLbCTfI70SM570J8WjccpH+tB5WJFy/v/8rYjwbEw7GcEnEeESkWCOxAVbq9/nZ2AzMseK524vneWDlSPG04bYFd4S3pK3jkIobCdxF48b4AlbwF8sIrKtBfUwat1ykP/2a8KbAq6JGBP9HGNMeUSMSkaJ8iHB//3rUiOCdhDF9O2pEidzy4O4H57zl7bEjk3x8lHBDPDJqREbjlov0v6R5WS6MGpFZm3DyJM2AKtJ/xmDDrdfv68+wdA6nWIaAm2iM60Xs2FQh7kcJCYKShD6RVCAzneoUyFRs3HK3Z8IjtTXixSPS8/5M4z7uz8sS0wmENyreHDUiEcnbYYT7+eFRI1rqjYSx/SxqRA3cq8AtHk4K5ilJ6D+fJdwAPx01okYVGrfcrQXu+YRsebs48Yj0vF0I9++zo0bUSDOgivS3ZjO8J034GssVNMa3ANggZkDGLQPuzuHroEXgvqEkob+MI5y042GqN2lHRcYtdxc0eaSmJEGkO7HnZUlDM6CK9K80M7zHtithjGdGjQgAd3zdddD3we2vJKG/HE244X0gZkBNVGDccvf+ug3/JSUJIplVZV6WdjQDqkjX3BC4zcB9CNwvwV0N7l5wM+vOp4+D+zO4z1Nu992sM7yX6S80xrkY2CZeOO4V4BYMf4cPgxunJKG/rArMpHGju4dq7hyQPG75juWs2q0BbsbwRv8CuB8oSRDJpErzsqShGVBFuuKuavIEvtkyH9yx4MpIwqsww3taWxMO8PCnOKG4UeBuqvvOXjf8vpKEPvIDwp3jgKgRtZY0bvk/ylm1O79uo/8YuM8qSRDJpGrzsrSjGVBFutJwMdnJ8g9wRdYFVGWG9078lvC4uXP5Ybij676nM+reV5KwlFsO3E7gPoX1y6otn4gdWQprEQ7t91+qP7TfaYQ7yO7FrtK9s26DvxJ7dKokQXqEWxfcW4YP6vXHqc0iBlXFeVnS0AyoIh1zN4FbCO4acMeA29eOP241cCuB22j4GHUuuCXeufVHBQZWpRne09oIq9uqj/nKckNwW2NPexy4Z8BNrPu3QU4S3JrgDgH3f+BuGd7ok7Lf/8SONIVfEu4ce0aNKJ2XAfNojLvAccvdquCeZunQXsMXVkoSpKrcXtgIExfXbbtJy74Rg6zqvCztRJ4B1W08fBL+KLivDid73wD3aXCvAbd8OXGIdMLtAm5Cyp/dm8aav0XgiphAtWozvHfiF4THz73KWbUbBe6/dd/Pu71/H+gk4V0tTri9lCRsRNhtp+RMNJMfEe4g+xezKvebuu/1K3XvK0mQinK3pzxOxUoSqj4vSzslz4DqPgHuIuyOXbvvdCa4k8GtWVw8IkVz3/S26w8VsJIqzvCe1lqE3aRuoJSeIO7Ldd/LXxL+XUlCwvKMl/lWPUk4l3DniNCnrWsljVvu3lT3nd4GbnTdvylJkIpKTBIWgnuyIklC1edlaafkGVDdHSmTvvrlBXD7FBOPSNHcy73t+eicV1DVGd478X3C4+hbi12l26TuWncuuPUSfmbgk4QXsEr9E7EhMbfA+qjf3SNJQlJ1/B+jRtSdgsctdxOwIdkcNpOgl0QpSZCqcrdgk9ucCe4wcLuCGwvurRVIEnplXpZ2SpwBtSFJmAXuX+BOx8YkPx7cqeCuJ+zLPR/ca4qJSaRI7mXetvyNnFdQ5Rne01qFcHTKAodudSPA/bvuOzmsyc8NdJIwusW/9UqS8FfCnSPiOLtdK3jccnd63ff5w4R/V5IgFdXsOFWJJOFowovrD0SIIw+X0/g5CpoB1Z0G7iisX3eLCwC3Ebh/et/xPXZyF+klboq3Hb83x8arPsN7J75O+FmK6JoFuM/UfR/XgWvSc2Ogk4RWeiJJSJqx74yWv1FtBY1b7vaouyv3MLhxCT+jJEF6TPQkodfmZWkn6Xh6VtSIcGOGT+D13/OucWMS6ZT7Xd32OxdcngMDlJTcl2IcMI3Gz/MIuT+ZdeuBm83SrqstnrooSWiiJ5KEKwh3jvVjBpRRAeOWuxXAPVL3Xb6pyc8pSZAeEz1J+CHhRfVbSo4hbxfT+Hkq8GTWHeB9z4fGjUckLTce3Ene9vv5HFfwBsJj0Ek5th/D4YSfqUlXoG64IXCX1H0fbbp+KUloovJJwpsIN6SfRI0oHzmPW+5OrvseW9wVVJIgvSZqkrA2vTkvSztJBZAXRI3Ihkmt/56PiRuPiM99BtwRdcu3wP2x7m61w4Y+PTrHlSbN8P4i1Z3hPa0xwFQaP9cz5DZanPtA3XdyD7hl2/y8koRklU4SRgA307gRzQHWiBlUTnIct9xNYWk3o2fBrdbiZ5UkSI+JmiScSpjM71Hi+ov0G8LPFnEoRbeN9z330shRMhDcLG8brV/mgDuDll1auvIOwv30+JzXEcuHCT/b1/Jp2h1b9908B+7BNstT3vc5zfv3LfKJq+dUOkl4N+EGdFzUiPKVw7jlbnlw99d9h20KpZQkSK+JliQkzctyRUnrLkPSDKgRJ2VyX/C+514cmEL6WsskYQm4m7H5QVoMFtORpJuJL1DaJIiFS5rBfhYwsdUvpdOQJOSxbJs9pp5U2SRhNHA/jRtPiTOEliKHccvdcXXf399S/LySBOkx0ZKEpHlZdipp3WU5hfAzljQDaj231fDdvtp3fEn5MYi0447Bhu89HtxPwJ2Nze/iD+N7A7g8ejz06gzvnTiQ8DN+N3uzShJyUtkk4WDCDeeIqBEVI+O45Q0zKz9N+0dqz3ob/uPev/fK7LEyMKIkCf0yL0s7MWdAXRHczti8CXPrvt+p4NYtfv0ieXGbgPuTd5y6lbb94Fvq9Rne0xoCrqPxc75E5poLt5bdBE29+DdQv+T9+/JZP2iPqmSSsCzwGI0bzZNAv35Jl9P4WTsY2qwhSchjmVDYpxTpSpQkoV/mZUmjpBlQ3bw2x56FWJ/uVfNft0gZ3E+9bTrDYCQ9P8N7J15P+FlPLjcEFS43Uckk4YuEG8whUSMqVoZxy5UkSL8rPUnot3lZ2ilpBtSWScIscIeT7c6rSGRuWezpfG27frDLhvplhvdOXEbj510IbFLe6pUkNFG5JGEC8CyNG8tD2HBZ/azLccvdenT2SO2H3o7wXu/fm8xGKBJL6UnCFTTui70+L0saJcyA2vZJgsNGGHlHvusVKVPDcOSOlqMNNnU04f74gRyDrKIdgCU0fuZfl7d6JQlNVC5JOJZw53hP1IjKUdK45Spcll5TapLQr/OytFPSDKg1biy4dcDtA+5X4BZ43/HhxaxXpGjuSG9b3qzDBvpthvdOXEjj514CvKKcVStJaKJSScJEbPir+o3kdmy+hEGQNG75zvmuQkmC9JrSkoR+npcljYJnQG3FvRzcE3Xf8UJw25ezbpE8ue96x6sORisE+nOG97S2JLxZ+udyVq0koYlKJQknEu4c+0WNqFxJ45Zfme8qlCRIryktSej3eVnaKXgG1Hbc9uAW133P/TialPQ9d03dNvwSuE6eAPTrDO+dOJvwOPza4lfrtgF3St2iayNTmSRhEjCPxg3jOgZr5wD4BeEOkuO45UoSpNeUkiQMwrwsaRQ4A2oa7p913/Nc8puUSqQEbi/vWHVxhw308wzvaU0G5tP4N/h3zIAGXGWShNMJd47dI8YTS8HjlitJkF5TSpIwKPOytNNsBtRuii+74L7jfdeaL0EicZ8C9wZwKc+97vXgnve23056QmxMf8/w3omTCI/Hb4ga0eCqRJKwCeHO8fdIsVRBgeOWu1ezdMbI4+m8v6RIyQpPEgZtXpZ23kZ4/PleOasOZkmdVM56RXzu9OFt8BFwJ4J7FzYz+JrgVgK3ht1kcx/znoDVlj91uMLzCPe7fpvhPa01CW+W3srg1KdWSSWShPNp3BiWADtGiqUKShq3XKQXFJ4kDNq8LO0MAdfS+Pd4CSjhrr471/uuNW+CRPK/JKGb5R/glutgZdsQFuz+oYhP1UOOJzwua3jk8kVPEl5JODbu7yLEUTUljFsu0gsKTRIGdV6Wdl5HePw5pdhVulXBzaz7nm8vdn0irbijCIfmbbfMAHconc839Dca97VFwBZ5f6IesyIwg8a/y31Y/dhAKakw130dq5z3vR37MgCmA0mPyO6Hoe8XFNglwJ51rxdjcwbcXdD6esU44AFg9br3HsX6Lc6PEpFIodw2wCcS/mE9Gov3/46N4e87EYbu6nClxwJHeu+9Fzinw3b60aU01oUtxoYovKf9r7oNgKkw5NKtyo0Bfg/UJ4DHwNDR6X5fpAhuJez6ZBdsvP4NsSGRR2A3N2diNxVuwq5lLoChTs/Prwb+5b13BvDBrsPuH18hHGHuIOCXEWLpd+7WDI/Och6G839eQ3i36v8KWlcvijhuuUjZ3H4ZjlEO3Os7XOGgz8vSTtIMqL9J96vuHHA3gTsE3Jotfm4kuL3B3eh9l9PATcj8CUQK4fJ80ng1jfvYfPp/hve0xgJP0fj3eYLBrRcrUiWThGsId471ClpXL4o8brlImUpPEgZ9XpY0LqDx75NyBlR3jvfdPAzuz+DOwMYgPwMr9nw24XucC25KgZ9JpCr2JTwG/ThqRNXzacK/0eeiRlSysrobHU73M4c+BEN590d9M+BPlvMj4DM5r6fXfZjw6crXgW9GiEWkQG4z4AMZGjgNhu5L+bOTsMEAlql773psNJGUXWQGwpaEo4pcDLyp9a+5c7DJ6Tp1H/AhGLqmi98V6SUjgBuBl9e9Nxfr0jQtSkTVNAbrfl7/dOVZYAPsSbD0oRHALTRmhrNp7H8vJvK45SJ96XTCu1ODOC9LGl3MgOq2BHfccDeihSmeAl033DVJoxnJoBj0Gd478QHCv9XRMQOSYr2f8As/JmpE1RZx3HKRvqN5WTozmUwzoLpx4HYC915wnwP35eH/fhTc7lhxqMgg0QzvnRkJ3EF4Y1k3S/vQaOBBGr/sZ4EVYgZVcRHHLRfpO5qXpXOaAVUkP5rhvXNvIfyb/TBqRFKITzHgRShdijBuuUjf0bws3dEMqCL50Azv3fsP4c3Sl0WNSHKl4ayyuZTGv90iYNOoEYn0lksI96HNokbUOzQDqkh2muG9e68l/NudGjUiydVXCL/gj0WNqLdkGLdcZOBpXpZsNAOqSDaa4T27f6IbPX1JJ5h8dDluucjA07ws2elGj0j3jiXcf94TNaLek9Rl9LyoEUku9Kg6H1sCi2n8O14cNSKR6nsz4fHnhKgR9SZ1GRXpjmZ4z88fCG+W7hA1IskkqejtNrRzdOsswgue10aNSKS6NC9LvjT4hEjnfky43+wbNaLelTSM9d+iRiSZ/Ixw53hj1Ih622QyjVsuMlA0L0u+NIy1SGcmAfNo3Geuw4Y3l+78ivC4vlvMgKQ7kwkvaK+KGVCf0LjlIu3pgrYYSrxE0vsVuqDNmxKvPpHUNWZKzID6hMYtF2lPXWOKoS5cIumoa0xx1IWrx6nItlgqBhdpTkW2xVIxuEh7KrItjorBe5yG6yyWhpUVaS5puM6DokbUf/wZUDWsrMhSGq6zeBpWtkdp4q9yaNxykZAS6HK8lvD4oxlQRYxmeC/eBMJj/VQ0QV3lXUq4c2waNaL+pC4VIqFvE168vjNqRP1LM6CKhDTDe3mOIPxbHxw1ImnpdYRf2ClRI+pvKs4UWWpNYA6N+4PmZSmOulSIhDTDe3mWAx6j8e/9JLpZWklDwLU0flkvAevGDKrPaZhHkaU0L0v5VJwpspSK+st3COHf/ItRI5JEbyP8or4XNaLBoHHLRTQvSywa5lHEaHjgOEYDD9D4d38eWClmUNJoJHAXjV/SLGC1mEENCB2YRDQvS0y/Ivzba8IoGTS6YRfPewj/9sdGjUgafJjwC/pa1IgGix5xyiDTvCxxTUIzoMpgU9ffuEYAN9P4958DrBEzKDFjsGGn6r+cZ4DxMYMaQCqWkkGleVni0wyoMsg0iEh8+xJ+Bz+OGpEAcDjhF3NY1IgGk4Zdk0GkeVmqQTOgyqDScOTVcTWRdtmMAAAgAElEQVThzdL1o0Y04MYB02j8Uh4BlokZ1ADTBC4yaDQvS3VoBlQZRJrYtDpeTfhd/CpmQIPu64RfyIeiRjTYksYt/13UiESKo3lZqmUC1g+7/vt4CM2AKv1LM7xXz98IbxxtETWiAbUKMJPGL+NeYFTMoITzCftn7xg1IpH8aV6WavoiYeJ2SNSIRIpzPOH2/o6oEck2hANZ/CFqRAPq+4Q7x1ujRiSQPG7536NGJJI/zctSTcuiGVBlMKwJzKVxW78V1eFUwXmE54edokY0YNYi3DluQEPeVcXphDuIxi2XfqF5WartYMLjzxFRIxLJ30mE2/kbokYkNRsT3iy9ImZAg+YUwp3jdVEjknqT0Ljl0r80L0u1jQbup/H70Qyo0k8mE87w/u+YAUngVMLzxB5RI+pQ2RdsK2LZ1abAhtiwXeOG35+LTTwxF3tUfC9WfPNYQjsbAXfSWJjzb2wITqmOHwOf9t7bD7ho+P9HYslEbZtYA5vbYiw2OtWs4WU2ti3ch20Xc4sOXPrWMtj2tsnwf1fALhzHYX1I52J1TjOwbe0erPB1YV0bY4bfr58D5FlsmLvZxYYvHXgPcLb33nHAV733VseOPxtjF15jh5cJ2LZQOy89hG0T92Lz8Ih0I6/z3lnAe733pgBXFhS3dG5t7GbFcnXv/Rer0XR1762AbQ+1ZRy2TUzA6txq18dPsPTa+FGs3rOnjcf67f6M8NF82mU61rfrEOwADjYGuf9zryrh80hnksYtvx+b4OUiwqLzNMti4EasHuWNaKhbaW0k1s3tWGz8av/xb5rlReCf2DCDO2BzsPg/c3hZH0hSazYD6tbAB4EzCWsX0i4PAadhF2mrlPR5pHdtCXyW/M5726IZ3nvFCYTf59uB/YEfAbcRjgiZZnkO+CNwKJZY9IwRWLefswhrBrIuS7Adxf+DXlDKJ5NuJI1bnucyA+uXqYIgqbcF8F3szkve29wi7/XjNN4pkupImgG1mxNyq2U+8CfgADTspCy1GvAZwkQ1r23O36Y1w3s1rUqYGPoJXh7Lddis2yuX87E6NwI4EOsGVORFob8sxoabkuqZBPyc/E/KzZYbsW1QdQ+Daxfsbl1Z25wDjinlk0k3xgJTKW9beAR70qSRlAbXJOBE7AlkWdvdVei8V1UjSO79UtQyB9v+1skj+Lw2qn2xRyobpPz5BdiB+xnsacNsbNi6sdij28lYX6w0FgHfBL6DZdcS34rYE4SDSH9nbQZ2gn0O28gXYtvAWKzP5mSs60gaN2IZ9bWpI5ZetynwE2DPlD/vsK4mT2Lb2wvYwXyF4eVl2HaXxhKsS+TnhtuT+EYCHwe+QfruQC8CD2LHornDr2v1CatgdXTLpmxrGvBl4AxsW5P+p/Oe+HbDajO3TPnzi7CujE9jx6BZWA3cWOyJxCTSD74wf3jdxxCxjvNl2GPWdpnNVOCXwLuwA22ayc7WwLotfQvb6Ns9nrkP2CufjyUZvBc7Qbb6ruYBl2GjwbyadCfxMVgXkg9jxYhPtVnHYuAXaDSTfrccdozwH7/7ywxskr9PAi8nXfegFbACs88Df8FO4q3WMROrTUh7UpdivBIrDmx3XroFu7m1L3Yua3fTbAR20fYW7OSb5qn5v0h/gSC9S+c9qbc69n21e6L9GPAr4P3YYBppksuJWPJxDDZgT7s6u0exY1bpDsCGlGsW2HPAT8lvpt11sHGuWxVALwF+gO1YUq4VgHNpvbFeixWg59FnbgSWFJ5J68e6j6Ci9n61GXA7zb/7Bdgsl28mn2PCOOxg/k9aH/wvwyY5knINYbMttzppPoI9Xdgop3VugT3FfrLFOl9CMz73K533xLcXrRPGWdjQqK8hn948q2E3p9rVvpxKSd0gR2F3UZoF8hTwBWxkoyIMYVXh17WI4Tpg3YLWL6GXAw/Q/Pv4K3bnpCirAd+m+agRC7FtUvrH+2h+Z38eVsw+ucD1bwP8luZPOKcBuxe4fmm0Eva0p9kx6C4swUvzFLsby2DdTB5sEcO5WKIp/UHnPak3Auv63uycMAM4imILi/fCJmxrtk3ejj2xKMzywJ+brHwBVixR5kFwXyxjTornSVTQXIYpND9I3Uu5XcBWxrbBZjvpaRR3kSDlOYLmd/IvotjkwLcNNrRqs5P0h0qMZVCtiXUdSvoOnscKicvqAjZqeH3Njon/xboLSG+bgs57stQo7O+c9PdfjD35KXOo5N2Bu5vEM4OCnjKtRPOT4X+xR/8xjCd5anKHdXnSI7fivJVwVuXaxdHXiDcc4C40v6P3e9QdrVcNYeNKJ32v07EnjLHi+jjJQz4vxi4apRgbAw+TvE2cj91tjWEd4G9N4roHq4GQ3qTzntRbnub7+p3YnBYxLAccT3LyOAd4fd4r+3fCihxwCtWY0OrNWFLgxzcTjR9chD1JLhZ9jGIfsaa1AtYdJGmb/S32aFB6y3dJ/j6vxGa2jG1TbGKcpBg/FTGufrU2yQnCPCwxiz0k5NBwHAsIY3wAK26U3qLzntQbjU1il/T3PhMblSi23UkueH+JnLbZkVjxn7+CRcDH8lhBjjYjufvR0+RXqCY26+xswr/z7VTjYq3eESTvwCfFDEo69imaH4irNIHVWKwvctLx8m0R4+o3q5A8utDzVONird4ehDPPO+wJfFG1e5I/nfek3hDJXYyWYAMoVMkk7AmmH+sLWG1NJj9MaPglYL+sDRdkXZJHQLoDTXCTh7WwpMv/+15B+rktyvZJkh+5acSR3rAPyTUI3yH+3eIkY0i+m/cisFXEuPrFCGyEKf/v+ySwdcS4WtkJ6wvsx3x+zKAkNZ33xPcVwr/tQmxQjSqaSPLQ0A+ToZg66eS8COuTV2VrYRNS+H+M/4sZVB9odnK+nuqP2vEJwrjnoa5oVbcONumi/939LGZQKYzELgD9uO9Dd4+zOorkO2JVH6hie5LvRKsrWrXpvCe+VxMOtbwE+EjMoFKYQPIgD3+mixtua5N856Pqf4SajUm+uHh3zKB6XNLJ+R5sJsBecDxh/PeiJ0xVNQKbjMr/zs6hN/rWLgdcRRj/aTGD6nGvxm5U+U9odokZVAf2JqxRmEcOj/ylMDrvSb2VsBoU/29atS5GzayDTbDmx39o0g+3yhzOAw703vsZxd71WI3kzPwR7LFZp3YH/kHj8HczsHFiZ3TR3iDbCOt7WV+kPhfrp3lXl23WZrTdEhu2ck3sLusorG/x88Nt34hNSLOoy/XUjMDGUver+o8DvpqxbcnfQdjACPXuwLa5lzK0uzq2zU3EtsEXsTvRU7GT/5IMbSet62bCydX2wCZdk/RGATcRdtn6KN0/JR6N3VXdFlgPO4GOxxK82djAF1OxY9DVw6+zOgK7cKv3X6xLUp7bnmRXxHmvnVEkj341G7vx2Smd9/J1EmGXrd8Bb8/Y7nrY4BcrY7Vts1l6DfRoxrZ922M3sOpHvJqN1fU+kaaBvQizjNuwA2dRJmLDGPrrdWTL2L+V0F7VuypUUdLj1g920c6bgZOx7anZuM5Jy1PYiTXrdPMTsZ2gvu352M4p1bEK4ZPAOXQ31PKq2ERa59B6ZlyHHZTPw24w5FXvMIXw7vedVKvguhd8ifD7OreLdl6BjZT1b1rPWusvLwJnYbMsZzEEXJDQ/kcztiv5y+u814mvJqzTYTPmdkvnvXxsR3gsf4Du6lLWw+pGLsLOO62OPU9i10151rR9NmE9qY6nIwhHjVhI8QVhv6f5HyhLkjAau/tY394iYPMswQ6Y/Qi/k4u6bOv6hLY6WaZhk+hlsX9CuxdkbFPy9RPC76jT+Qb2Ay4keQjKNMsV2IE8Dz9NaF990dObSDjD9jRgxS7aSrpx1MkyH+uCkiWJXJNwMq7pVGPIRDF5nvfS2hR7Spp3kgA67+XBnwpgCfDaDn5/BPaE/CqaTwjabjmD7o57viGSu8Pu2u4X35bwSz/IIaBWDkxYZ15JAlg/Vv8LOStjm4PkGhr/di8C63fZVtYkwWFJ3nu7XH/NRV6bS4g36Yk0Wp3wDu9tdD5r6L1k39ZmkeKgmcIKhE8xHkMTHKV1LOF30+0oIlmThNryS7LVxhye0OZnM7Qn+crzvJfGCJIv2vJKEkDnvSymkHzB3omxCW10s0wlnwkZtyS8ifbXdr90o/cLz2InuKKsgt0Rqq0vqQtKHgVCv/PaXAhskEO7/W5Pwu/j2Azt1ZKE+cB/sCF2PwjsjB2AVwHWwJ70vB3bCZO6BMwj29OgjQgfG3bTdUHyl1RoN6WLdpKShMVYjcDPsNlRDwY+M/z6gYSfd9gd3zwe8x6U0La6mLQ3gfBx/LV0fye/liQsAe7G6hkOwY51G2HHn1WADYE3YEPtNuum9vEuYwBLev2xy58Els3QpuQj7/NeGn73D/9aKI8kQee97v2dMGlco8M2miUJ87CnFCdg3SoPAr6AXf8kDb3rgPvJMHRpnZ8ntP3KZj+8S8IPfz2HIFo5u25d80kOOI8kYRvCpwlFPyHpB37f2Tlk+z6+gj2t6mTouPWA6wi3i4szxAGN257DDp5rZWxTslmGcOb0f3fZVn2ScBU2MlurmpYRwDuwGyP+tnY12WsUxhCOKnFbxjYHQdJEelm6HL4DSw47mQBrHPbkwI/jebKNEvOBhDazPiWV7PI+77WzHo3d6S4iPFbkkSSAznvd2JRwP/1xF+3UJwkLse6wb6F1ve+yWMIwLyGGPOprJxE+TWj6hOQU7wdnk71QtJV9vPUdTfIJIa+d03/U9hSdd2EYJBMJN54TIsWyAuFs2gvJtm1sQZg4fiFbmJJRUnfHN3bZ1j3AH+l8/PyNSL57s3eXcdQ7NKFdDX/Zmt9F8TbiTaJ3HuH3l2XeoNGEc/r8I2OMkk3Z570RwJV165qJJbBFJQk673XuOBr/XguwiXs7NRa7GX5SF7//uuHf9RO8PGb7Pt1rdzYJ9VHLEj7SLXI87wk0jjV7z3AMRSYJSYU7b8ip7X6UdEGzZcR4kiaGyfr9+X1A78jYnmRzIY3fx+M0DmHciSz9h99KuK39IkN7NSsR3hHSE83mNib8HhLH844YT9bv72ivvcXYUKwSR9nnPf+a56Dh94tKEkDnvU4MESbyF3bZVrPhbdNKqs3KYwbtpF5EQc3X3gk/tFsOK2/mVBoPirXiwCKThNGEw6yenFPb/ehSGv9W18cNh80Jt40PZ2zz4wltqlYljmUJR/Y4LlIsQ4Qn6Vtzatuvj3owp3b70Zdp/FstxArbY/KHkvx1xvYmE97ZPThjm9K9Ms97k7DBEWrrupKlT8mKTBJ03kvvlYR/K38OsbKsTlir8quc2vZr+H4PjSMzTPF+4Wlsgy3C7jRe3J2MZbZFWwj8KSEWCS2LFRPXOy9GIHWeT3jPZWzz94QTGGmbiGNXwqLNWNucwwrr63VapNaM/5nWxy4UJTTFe30Zdm6K6YWc23sYuMF7r8gbdNJc2ee9U7DJ+8C6khxM9nNaGjrvpTfFe/0ixQ+F28zThDeV8jovne+9ngKMqE8S/A3kMoqZ/XEsVgBWy5afAo4sYD3NXOq93oh8hpLqNzsTFtP4f7uyJRVXPZKxzRnYaDf1pmRsU7rjXxjNwGY7jcWfXTevyc+Sjq26KAyNwR6D14t9DBoiPClnPQZB+LmmEK/uYpCVed77CI2zIH8TG22rDDrvpedfG1+NdRmNpajzkr+drwJsXUsSxmCzUNa7IqcV+75DY1/hT5D/nZlWLifM1Lcvcf29Ygfv9XPk192iW/t7r+dgox5ldZn3eqcc2pTO7ei9LupGRVp+YdmTObU7g3BUI/+zi/UD94vnLo8RSJ1XEw47mMdFpH8MWo38JvKT9Mo6760JfK/u9e3YLOBl0nkvHf/YfEWMIOoUdV5KSn52rCUJGxCO8uM//szDq2gssjiPsPtP0aZjBdP1Nik5hl7gT9d+M3Ev2LYknGjol8DcHNq+0Xs9GY1VHoO/zfnfS5mWJTw55Fnc53+2jXNsu1/428Mi4t6oGA+c6L13G/kkCUnbus5L5SvrvHcSS0eOXIJ1M1pYwHpa0XmvvYmENwWKuDZOa1PCmqy8zkvzgLu89zauJQlJB6P7c1pxzXL/z955h0lSVX347dmc2CVnWNICknMWMKCCgIIsQVSMGEBMgFnAHEBRFJWkfgRZQAWMgKCAIEiOsuQcF9hl8+5MfX+caaf61q2u6oo9M7/3eerZ7ZrqW6erb99zz70nYAEWzXvOxooY1cEDzmsp6Chun3CfWVWMwoqtXUPrquIDwNcKuof72Xoot7KmiDKBqDvZzDoE6edAoumfi/RDdfucJoRR3GfyKJZ6sA52A66lNV3tAsxlpAgf8pex+hxhpJeqpwq9927gHaHXP8aqO1eN9F4yvnG5Tr3kK76ZNdOSj4heau4eTHX+8CyWJ7VIvo75/zf5LMVtk3TKTODNodfa1o2ytvO6aKOxyQjgc57zUzAluTvmGxfmFsz1qKg+6vvRr0PUqhblMZWoD3ZZfS6JCUSzKj1Lsbuebp9bDSskt6jAewx2pjqvy+wPhxHdxh+HTZp2pFV3AbyIFWUrclXxAVoz+UkvVU/Zem8F4JTQ6yewyu91IL2XzFTn9SLsO6uDDYBPOOeuodg4FrdPrNM0EpZx/uCuaORlB+BTodf/pNwaDEm4n8/9/MLqWIQpuk80GQF8J+W1jwE/wrZqi9yanY+tCoYD1tQnqsX3vF+sXArjW0QnCydQjGtbE9/vaRIyEsKUrZfCHAm8PsV1c7DCQ9+m+CxLs5zXGoOqp2y99zMs3qTJUVhsXR1I7yXjPo+XqcftegRWpyfsDhYAxxd8n8jcuOn6M9H5Q5G7CGOAsxgoiFRlmq843M83yXvV8KUHGO+cK3pnqVMewiZv51CO7+Yc57UGy2rx/Qbr6HOHAUc7567FxrAi8X029blWytRLWXgNWwU+lXLSsLpjkPRStZSt9/ajNb/+edSXSrOJ9F573N9gXWPQt4lmn/op8J+C7xOZGzeNBPeHMb/Am34FKwPe5GtYdeU6cS13VxkNd8YRdf0osk9kYX3Mkn4cc1XraX95x7irxJGS5KJU3LSDAbbKVSXbYgWLwn3/ZeBwrIBNkfhWD9XnWilTL2VhErajNBPbCZ9ScPvuGCS9VC1l6r3lsJoITWYRTcRRB9J77XH1UpG7yWk5HDjWOXen51wRRObGTXcjd4u7qAj3LYDjQq/votUfry5c5VP1ZKTb8eUALivrwVJa40PAtnynAJv1/+11ob9NAX6ABRJOp7hARncwUJ+oFncMamC7kFXlo94Y+BOt/WAJNkC72dCKwB2DQH3OpSy95OOztE76x2OrqtOwIn+7M7AwMRJ4f/+5PSnOR1ljUL2Uqfd+RGt9jU9jmRbrRn2uPe4Y5D6vstmb6C72S1g8VBm6MTI3bhoJZbjfjMQ+XLPQQy+WCaLqNF8+umULqVvpJeqrWNbWdx9wVcI1b8K21sLZPvYHTgM+UpAc7jar+kS1+FbWJ1GNkbA+1gfDvsJ9wPuAv5R0z25xr+pmqnQLTQpAXg/LQrN36Ny6wF+BbShmcqUxqF7K0nt7A+8Jvb4aOLeAdotAfa49rl6q0gXwjVgV5NGhc3OAt1FetsnI3Li5MuJ2jCK2Ub+ADZ5Nfki9+WXDuKkN9cOI4j4T95lVyVVYkRu3cNqHSRdsmMRoohZ0XcFkwxXfb7CKPrcmcCWt6VcDrMjjBSXe1/fZ1Oda6aYx6GHg7cBPnPMbY7quCKSX6qfoPrcM8PPQ6/nYwladMZlNpPeScWM2inYxjGNnLJteeCdrAbAv5c6jI2NQ00h4yvnDmuTbZtsI+GLo9WPAiTnaK5r1nddluBMMdtw+sV4tUgwwGziEqI/opzzXdsp6RH1R60pzNlzx/QbL7nOrYynkpjrnj6fVf7gM3DHoZerxd+1mum0MCjA3kduc8x+ndbUvK9JL9VN0n/sBral1v4IZnN2A9F4ybn+YQKvbWBnsgO1gh2OSFgPvwpJolElkDGq6G/mKaqwH3JvxRu+m1cj4M7ZFkoatPOf2o9XCfw3b5s1KtxQK62YeALYOve6Gwj6PAb/D/MSbvBlzbVuao123PwTUl6N/uNIsJhXOE78h5bn7rIxVynUnAV8Bvl/SPcNoDErGfSYbYFnyig4i74RezO3oV6Fzy2NB73kKYvmKCapPVE/Reu99of+/jNWGOijmWhd3lX8dz3tvwYoMZkF6Lxnfb3BD4LmS7rcVpvPCbmBLsBiEP5d0zzCxemk85oMbhI7Dctzo605bRR95siNNwh56uL1352hvqPI1Wp9Rt6xqNbdqw8fUnG1+1Wnv6ZztiWxcR+v3cE5J91kBS6Lg9qOTSrqfD/ez/qrCew8Wdib6HW1cq0TGOkTl+nDONn2f9XVt3yHKoGi9t4jo91rk8YEcsknvJdPAFqXDz+mTJd1rU6w2UPheS7AdhCoYgXlshO9/TNPdaD7RifeeFQlWNbthK89h3O1jEX0maxCtOloHvgJbbgGcTnmD81r9oR7c517GGDQFW6nZzDn/Q0xpVsEELMYmjPpclLuJJrroBr1Uxhjkfq65aFW3DrpV75WB9F4yAXC7c66MMWgacAWtO+m9WBa1i0u4n49tiAay3xbONX+N88duGIzL4I3O62epv25DN3ItURced1CpA18g2Ss52hsP7OicuzpHeyI77hi0NpZBpigmYwPxts75U6k2Z/luRH3Y1eeivEa0WNBQHIMg+rmuozsyAQ43ulXvFY30XnpcvbQ7A8WBi2CD/nusGjoXAB+j2ixY7tx4PnBTeEX9GiwAq8l6WJ2DOzPc7AqyR8nvhKW3DPN1WoP6Xs7YdgN4h3Puaroj00C3MRtbWQiveB5A+QGdSWzhvA7IV/307Vg+/jAaLOvhH9jqSXgAPgAL/svLMsDfgO2c82diwahVcoDz+gWyx38Nda7BXHGavBUL6KszC8uWnnN5fJRXxAzHMBqD6qFovfclsk8ov0DrDtV/sJSYYbJmupHeS881tO4yL4tVP/57AW2vTXx2vTMKaL8TXL10HU4dqilYiqWwP1Idhc+OIup3t0Lbd6RnV0/beWIvhjquz+JSLCNMXUzAAr/CMuXdIr3Mae8Jiq/mLNLj+urfVUCbE4B/Ev3tn0X13/VYbNW5itiLocBORL+397R9R/lcTHRcXKntO9pzNNHP2A2xF8OVbtF7TzhynFlg29J76RmNVcgOP6/fFNDuWljQebjdPuATBbTdKRsTHYO8sRcXORc9R9TaLJsyjYSznXbn4K98Kox1iQa0f7HtO9qTdxA6nWjf+FqO9lbFLOVwe9/KKaPIhy8w3V3974Tx2EqQ2+avqEcpHuqRZSi6MxRFA/PNDz8vd/u/E/J+5wcS/f6uz9nmbU57rouVqJai9V5WyjISpPc6x517zCVfzYQ1sVS47lhyXD4xM/M9R47FxCx87EdU6COrkfF/lGUkrEE008DZBbQ71HFXdp8je2nyyzHXjolJFzpMxrbe3H7xKvlyFv/A0+amOdoT+ZmM+UKGv5OsgVvjsC1h9zueQTR5QRU0gFsdWZ6iWP/WocjXiH6HO7d9R/u2foyt4nVCD+Yj7MtWs29GWcDcp1Kt4IlKKVLvZaUsI0F6r3N82ce+lLGtNYCHPO0VVZSxUyYT3d2+LO7iUVgu+vDFj1CtQi3LSPixp90dCmh3qHM40ed2VMa2bul//3zg91jawG3xF+6bjFVTPhnz2XZlCMi3LbcCthoQbu8fOdoTxfErWr+XXjpPBzkSi41y+8ytmL/xNhmPPEUm9/XIk1XRDCfWJDo5vzRjW99moE/9C1u52xN/MPJoLG/554B78I9Bf8goRxN3MvoasFzONkV+itR7WSnDSJDey0YDuIPW5/Yi5sraCSsBM4n2rQvJrpN8tcU6wXWvC4B92r3hE543FFHVNi1lGAkbAAudNq/I2eZwYQTRTv082crVN40E3zEbGxQfxwLT465rHt/J+oH68bkuvTlnm6IYNsImceHvptPiicuT3IeyHG6xmbSMJFqbYTb5tqyHE2cS/S6yuGk1jQTfMR/Ldvcw5oPsumS4x7V0PkkIc4Cnze/maE8UR5F6LytlGAnSe9k5mOiz+3qHbbzJ00beYx7ZWQXzyAi3dzvRStwtjMWKaoTfNIfqAnfKMBL+4mlz95xtDid8fuI/zdBOOyMh7TGb/Cs622DBaOF2b8rZpigWNz4qIJqZrB3dZiQc72mrUwUznFmPaBHMe7Hd705oZySkPXqBn9O522SY8USDFhfQmgZR1EtRei8rRRsJ0nv5GIGlyw8/v0XYolZaus1I+K2nvQPTvPGDnjdeSoJ1URBFGwkf8LQX628lvIwiut3eS+eG1ruw7fl5dP5DmAX8hPzG6ljMUg633Uc0BaGol2lEd/+exCb/aegmI2Ejolv8z5K/ANdw4zSi38eJHbaxNRbf9JynraRjEZaCcqecnwP87q+dfhZRLkXpvawUaSRI7xXD/kR/t9eS3iW/m4wEXwzyv3Dm+XGT/gaWscENDvs08KOMAqVlfaI+VpdhA3SnbALcTGsGowVYkM4jmaQbvuyK/RjCfeZ5LGd4pznCx2CrGjth39EGWJ7gSViA4GxsC+xJbGD7DxaAmqUPuPwMC0AM8xvgfQW0LYrlJOArzrm/YP6SQcJ7J1BOCuev0lldjrHAjURz67+HagvlDAWWwVbywqvtfVjw75UdttWDpf3bCdM36wNTsd2Bcdju+RzM7/h2LAPRFcBLmaUfYF+ii26PY3E38wtoXxRHkXqvU/ahde7yKNnrIkjvFcdlRJMVfBP4cor3bkzx7vuLsTTKnbAmNq6FF916sRjRO9I2sgXRYLFFWDDpYGBZ4D6illIdqcyGCucQfZ5XEa0e2628F/8Oxcp1CiViGUc0/dwy0TMAACAASURBVGVA1HDoVhqYInblv5pqdmWHIocRfZ7PYhP8wcDGRDOJ9AF71ymUaIv0ngizDpZgwN1h2q9OoTpgPOZm5vaJTItqn/E0NJv80dRlMw6z/l3Z/4HSDeZhInA/0ed6Ad1fiOWNRI3ePjrzcxfVsw1Rt6M+4EN1CpWS7+BXzmvXKdQQ4NdEn+uDdP+kZ3Wi2QMDyt+dF/mQ3hMuhxDtD/PpfvetEVhmSVf2O8mY4reBbYu6DT6DuYl0I+OAPxGV+XkUFFYEWxKtzB1gZeu7dcDcg6jlH2D5okX346tIu5Turpb+RaIy9wFvq1OoIULcpO0Wiiu8WTSrYYHWrsz/YfCsSA9npPeEi1ucN8AyM25fp1BtGAWch3/hf4M8DU8hmrqvuSKWtaBNWSyHxVL4LLxda5RrqPFuohUpAywjTdUVupN4F9GV6ABLqdlpZhRRDw3gLKLfYS/dV3iqB1sZdmUNgM/XKNdQYyMsXsB9xvfTfTs1G+LfQXiKzou6ifqQ3hNhxmOBvu4zngu8pUa5fEzAn+VzCfD2Im4Qt006DziiiBsUwGZE01M1Vxz3r1Guocqn8U+ErscqCtZND+a77ubbDzB/vDzpC0X1jMQCxnx97jS6Q0kvi2Xv8skol5Li2YFo1qjmTvfuNcoVZm8s2Nm34qgqt4MP6T0RZjn8hRYXA8fQHbFn62OJF3w720cUeaMNsWwzvh/Ir7HMNHXQwCr3zvfItQRF75fJCfj7w4sUZJ1mZBX81XYDLHJ/xfpEEzkYh2Wx8X2vt2JpU+tiR6J575vH2XSvS8JgZy/8KZWXYtlG0qYmLJrRWGE038rzK3TfLrxIzwlI74kB1gAewP/cf0/6tN1lcDDmTuQzEEopkrwaftej5urNe6nWcppG/I9iIbblJsrlE/hXLQLgcqrd+u/B+qBv5S7AAteVm35wMxoLGPR9v4uBU8lXBbdTpvTf0y1S1DxORQZC2WwHvID/+d8J7FKxPHvgjz8IsExMbjpcMfiQ3hNhlgNuwP/8X8Z2FarUA+sCf4yRZwlWC600lgeuibl5gGUV2qtMAbAH8EtsUhA3EFetGIYzB+EPkAr6z38HWKnE+/dgFvPdMTIEWMDO2BJlENXRgwXf+VZpA2xF/0jKdUFaBosx8PnFNw2WTnNXi+xsDMzE/130ATOwtN5lsj3xLnFNg2VqyTKI6pDeE2Em0v73fwvm+l7mQvrqmGurL8i+abC8tcT7/48RWKGjOEs6wIqYfZDiLNgRmPFxPmYJxd33Sro/Fd5QZENMCcZ9L/OA0ymmWmmTlbEtM18sSvOYD3ykwHuK7mF/bNCL++6fwvxzpxZ4z02B7yXc9zHM/UhUyyRMP8R9L31Y5rt3UpwBOQ5Lhxi3o908fkHGFIOiq5HeE2EawGeJX8AOMG+cT1CcG1IDq192Fv5g9eZxIzUkddiTeF+scGe9BPg4lpGiE1bArPXTgacT7jMX+Bza2q+TccDJtDfiAmzF7xTMf7OTWJYerEbHZ4G/pbjPv7GAdjF0WRt/1gZ3cngd5qO+M535qY/Dco1/E6tQmXSfX2EBzKI+jiB+h6d5zMK+q/dgq2+dsDbwfmyV9tWE+zyD3F6HOtJ7wmV7LA6k3fe0CHMJOgb7vjrZYZiC1br4Mf6kQuFjIbaonymrVRHbHmOAY7G84GlWSuZgP5aZ2EA+F9uaG4P9cJbHKtpNw2Ig0vA7zLJ+shPBRWlsBvyUdIVFAuAJrD88jinvudhAOBnbwlsF6w/TSNfHXga+AJyJTdzE0OcAbJt1zRTXLgYexhY4nsHGn1ew3cplsH63FtbfppLOqLgbWx26rkO5RTksD3wb281Os3D0EtYfHmJgDJqPxbdM7G+vOQYtl6K9pdgY+FVM54mhj/SeCDMSOAo4EdMrScxjYG78PNYf5mBxeM0xaCrWH9LoObAdzqOwYpO1sxIW9Z+0slLkcSXa1u9mdgX+TnX94UWsD2old3gyGgvge5Dq+tw9/fesK4uOaM/rgN+QvPpa1LG4/34bVvHhRFcivSfCLI99P+1cVIs+rgf2reCzZWIFLKDvPsr58LMwa10ZIgYPewD/hz+neRHHjZg7W5VZbUT3MhpzI/k77eOmsh6LsNR2+9IdebBFMutjsSRJbqtZj8eAr6PiaGKAPZDeEwNMxjxektxWsx6zsbiEQbVwvi3my3sj+VZyHsSyGb0DlbAfzEzEJm//Rz5lvQCbAH4JrdiJ9qwJfAYLWI3LRJLmeBG4GMuaVGfea5GPZgKMH2O7QHEZspKOXkzZn4wVbpOxKOKQ3hMum2G7C9dii05Z+8TjwDlYlqtSEiNUObBNwvJZb4j5VL2f1sxHz2N+wnOx2IKZmI/obSjWYKiyIfZjmdb//9WwAXV9bEeqycuYhTwTuB8rnLWwUknFUGAkFgD4OkzRbhD622wsPmFu//9fxPrbf7Gc9/ciP9+hyMrA1lhSjWlYUPL2tBqCz2N66FFMJz2ApTOcVamkYqgQp/fcFeCbsEmk9N7QZgKwDQNj0AbYfHkarUkV5mOpnB/A+sQdwCOVSloxbpnok+oVR3QR36O1b9xQrzhiCPIHWvvYr2qVRnQT6huiahpEV4n3r1UiUTfH09ofHqhDCKULFUIIIYQQQrQgI0EIIYQQQgjRgowEIYQQQgghRAsyEoQQQgghhBAtyEgQQgghhBBCtCAjQQghhBBCCNGCjAQhhBBCCCFECzIShBBCCCGEEC3ISBBCCCGEEEK0MLL1ZbA8sB0wFVgJWAEYA8wBnsJK0d8EjaVVCimEEEIIIYSojpEQrAx8F9gRmIaVB2/HsxCcDnwfGgvLFlAIIYQQQghRLT3AKsD7gA1JNhAAVgVOAm6DYO0SZRNCCCGEEELUgONuRB9wN3Av8Dgwu/+aNYBdgM1C124MXA3BltB4rQJZhRDDkmAlYGLrucYjtYgiRCaCFYFJzslHoRHUIY0QQqRhJDAPOBO4ErgaGi/FXx7sAfwaWKv/xLrAl4DPlymkEGK4EqwI3AOs6JwfAY2+OiQSojOCFbA+vJLzh3GAXHaFEF1LDzQegsaHoTGjvYEA0PgH8GZgQejkeyBI46YkhBCdcjoRA0GIQcVPiBoIQgjR9bjuRilozITgUuCQ/hOrYUr8heLEEiIrwZpYEP5awMpY3xwPvAo8CdwGXAONBbFNiC4hmA4cWLcUQmQneDsDulIIIQYVGYwEAO53Xi+LjARRG8FKwGnATlj8TBKvQnAWcBI05pQqmshIsDy2AgswF7gV2L0+eYTolGBZ4Bf9L+YDNwF71iePEEJ0RlYjIRyAFQAvFiCLEFlZHjiog+unAJ+19wRvgcZ/yxFL5ODHDLhofBnYukZZhMjCKdhOO8AJWIpxGQmDmmAUsCmwTf+xfOiPV0Hjl7WIJQRgsXpszED/XCX0x1uh8d1OW8xgJAQ9wNtCJ+6ExsudtyNEKSwBbsYCBZ/A3IxGYal7dwV2ZiDV71pYhq7NoDGrBlmFl2Af4LD+Fzdju0Rn1yePEJ0SvBFLLQ5wJ/Aj4Gf1ySOyE+wMvBvYFtgcGBtz4SuViSTE/wg2Bz6A9c8tgQkxF8b127Z0aCQEDeAbwCahk9/JcmMhCmQecCpwFfAPaMyNvzTYCjgf2Kj/xKrAicBRpUooUhJMBn7e/2IpcCQ0em3DUojBQLAMZtQ2sD78QWgsUR8etOwDfLxuIYSIYXfgmLIa74meCkabL+X/juVtpTX4APAv4Auhi0+FxoVlCSdEOhpPQONT0PhjewMBoHE7lqErXNvjEAiyut6JYjmFgbiSb0PjjjqFESID32UgTfjJ0Li1TmFEKcwBrq1bCCFimIfN1xflbcg3MdoXuDjhfY8CX4HGeXkFEKJ6Gk9BcDHw/v4Ty2O+w0/UJ5OA4A0MfCczgW/VKIwQGQj2AI7sf/EY8PXaRBFFMRf4J5Y84Zb+fx/E5k+La5RLCLCkCDcw0DdvBf7bvwP/IjAmT+NZVk/vAr4I/DnPjYWomZnO68m1SCH6CSYAZ2AuGgHwMWio0JQYRATjae3DH4HGvHplEvlpfBv4dvS83MdEN9A4CzirrNY97kYsxgJwmofL5sAfgdv7AyaEGIy4RsFztUghmnwPq+AO8AtoXF2nMEJk4JvA+v3/PwcaV9YpjBBC5MVjJDQuh8ZyoaOBuWIcCPwtdOEWwLUQbFOJpEIURtADvD104k5oKI1vbQS7Ax/rf/EsrXFPQgwCgh2Bo/tfPA8cW6MwQghRCL6dBA+NZ6HxO2i8FTgCy9gAthr7Wwt2FmIwEPRggYWbhk7K9702Wlw0AD4BjVdrFEiIDgnGYNv9I/pPfFJpwYUQQ4EMMQmNX0OwLvDV/hPrA9OBc4sTS4g8BKOAiaETU4AVgB2wfMJbhf72fWjMqFA40co3gA36/38xNH5fpzBCZOBE4HX9//+zxhMhxFAha9rH04AvMbBy8hZkJIju4a3AZQnX3A982XbIRD0EOwCf7H8xG/hUjcIIkYFgK+Az/S9eAz5aozBCCFEoKd2NXBovAk+HTqxThDBCVMS9wEnA5XULMnyJuGgcC42n27xBiC4jGIn14VH9J74AjSdrFEgIIQolo5EAQF/o/8oFJrqJJbRm6Jrj/H0T4ALgfgh2rlg2YXyNgcrt/wTOrFEWIbLwZQZcF28CTq9RFiGEKJyM7kbBJGD10InnixBGiGJo/BVYrvVcMAnYEfgQcBAWKLsecBUEb4WGqmdWywGh/78AfDthrWFr5/W3IWi+4WVofK9I4YRIQbgPPw18K6EPb++8/gYEzSQgs/vz8QshRNeQNSbhcAa2WMFWUYToYhqvAVfaEZwPXIhVIhwHnAfBRip8VBsHZXjPcaH/P4LVWRCiLg5IviTCZ0P/fwpvwS4hhKiPnv7Aqw4ItqE1ZWQvoOBPMYhoXIq5CjRZA3h3TcIIIYQQQnQdI4FbIfgbcD7wp/j8zsGawEew1Y9xoT+cDo2HS5ZTiKL5JVYhtVnjY6/+c6IazgBW7OD6fWitbfE9Bnw7lJNe1MHZwCodXP82YPPQ65MZqDk0uyihhBCiKEZivtlv7T+A4HHgYSzgsw8rmLY+lsGo4bz/n8DnqxFViCJpzOnv680c/WvXKc3wo3FyZ9cHq9JqJHwBGn1xVwtRPo0fdXZ9sDytRsKXobGwSImEEKJIfDEJa5M8YerDVl0/Jz9uMYgJZ/daGnuVEEIIIcQwYyTwBmBf4I1YSsIRba5/CbgY+CU0bi9fPCHKIpiIxSI0UYYuIYQQQoh+RkLjGuAaexlMAjbEXIuWxQyG1zB/ybuh8VgtUgpRPO/Fshs1ubEuQYQQQgghug3H3ajxGnBL/yHEICHYDRrXdXD9jkQzdF1SsFBCCCGEEIOWPBWXhegWroLgBgg+AcE68ZcFG0LwAyzgfnLoDz+DxkMlyyjyMZ/WKtpCDDbcPty28poQQtRN1mJqQnQbO/UfQPAK8BDmJrcEWAbLYrSS531/B46vREKRg8bHgI/VLYUQ2WkcAxxTtxRCCJEWGQliKLIssF3CNb3AT4AvQmNB+SIJIYQYnARXek66KeH3ibnuMmj8pAShhOgnuBBYzvOHsMfETjH983ponBjXsowEMRTYFngz8Cbg9cCENtc+gWXoOhMa91cgmxBCiMHNm1Jcs3r/4fJAwbII4bIbsGrCNSvg78dz2r1JRoIYAjTuBu4GToFgFLAuVgBwGSyD0WysKu990HixNjGFEEIIIQYJMhLEEKOxBFu50eqNEEKIIjgyx3vvLUwKIfwcB4zP+N5H2/1RRoIQQgghRCyNX9YtgRDxNM4tq2WlQBVCCCGEEEK0ICNBCCGEEEII0YKMBCGEEEIIIUQLMhKEEEIIIYQQLchIEEIIIYQQQrQgI0EIIYQQQgjRgowEIYQQQgghRAsyEoQQQgghhBAtyEgQQgghhBBCtCAjQQghhBBCCNGCjAQhhBBCCCFECzIShBBCCCGEEC3ISBBCCCGEEEK0ICNBCCGEEEII0cLIGu7ZANYCJjrntwDeBbwKPAs8CCyuVjRRE+OBacBKwGRgM+fvywCrAM9VLJcYuox2Xk8DPgTMBl4DZgEPAHMqlkvUw0hgHUw3rer8bS3gDcDjwGNAb6WSiaFKWO9N8fz9dcBNSO8NJ1YH1sPmQVs4fxsPbA7MBBZWJVCjgnusCOzZf+yI/SjGp3hfLzYg3wFcA1wN3F+OiKJCeoAtMaW7B2YQrEm6vjgbm7j9C+sP16JJnEhmPLAzNga9HtgYWD7le58F7gX+iY1DNwNLSpBRVMs6DOilbTHFPCrF+xZjC1i3YGPQ1cBTJckohg7Se8JlWWB3bAzaBdiQ6OK5jz7gCeAurD9cA9wNBOWIWQ6TsVW5a7EPFBR0PAKcBGxQ3UcRBbEV8EPgeYrrD0uAPwIHA2Or+yhiEDAS2Af4LbCA4vrcq8AZwG5Us8giimN14DjgHorrDwFwG/ApYOXqPooYJEjviTATgPcAV2AL4UX1iaeA7wKbVvdRsrEO8DNgPsUOwr7j78Abq/lYIiM9mAvZrZTfH14BvontXInhyyTgWOAZyu9zM7HFENd1SXQX2wKXAEsptz8sAc4n6i4phhfSe8JlNeBkbAeo7D5xA7AvXbaItRrwK2yQ7PQDzQNexlbosjyQf2NbNqK7eBfmHpblO325/1iY4b3zsB/j5PI/ougixgJfwmIJOu0zixnoc1kmkk8CR6JEEN3G5sBfyTYGzcH6w2sZ3tsH/AFzHxDDC+k9EWYF4Kdk+04XYP3hlQzvDYA7gb3L/4jtGYlts84mWeAHgV9gK2+vx4LDfJbOZGBr4BDMQr6BZOOjD/gN2u7tBtYnnWKeD1wFfAU4EFt988WqjMR8N98IfBz7np9K0f4zwGElfD7RfbwFW9VP6hMvAhdhY9ZbgXXx7wKMxSZ4+wHHY1v7aVaAbgK2KeHzic6YBJxCst7oxVyFTsZcALYnPlZlRSym7gjgVMwHOMmVdiHwDWBcsR9PdCHSeyJMDzbXfYnk7+wx4GxsoWlPzC1yhKfNiVgw80HACVic3KIU7f8O60uVsw4WxNdOuHswH9C1c95rEtbx/0z7lb5ZmGIX9fBx2vt/LwAuxHzF8/pSboIp4Mfa3C8ALid9kKoYXIwHzqT99/888CPM5STP9utIbAA/m/aLIkuBE/EP8qJ8dsGyELVbULoWU+B5x4WVgU9gu9nt+uBMzDddDE2k90SYVbGA4nbfz4PAV8kfXzseOADbuWxnMLwGHJ7zXh1xIPFbIH3An4BdS7r3Glgg0Nw29z8F+QlXyWRgBvEd9CVs5WTZEu7dg/nf3djm/k9gkwcxdHgd7QNQ78UGxTLSPI8HPon1q7j7X000laYojwa26xO3e7AYM/DKcgHaHItHiFvEWoBNJsXQQXpPuOxF+yD1a4A3l3TvlTDvm3au+2eRLrtoLr5A/Dbrv6huu31FzNcrLkL8SmwHQpTL6gyk3/Ipxq+RLq1XEexFvD/oIuDQiuQQ5bIn8av5T2FZP6qIDxgNHE38gsmTmDEjymUUcC7xivFC8u9mp2UDbBU3TpafotiVoYD0nnA5kvhFgtuxjHhVMBnLdLQ4RpZ/Y7EShdPAVvB9N30F+CD1RFNvi30BPrluwawrUQ7TgEeJN9LWq0Gm0cAX8QcK9WIrwGLwciDx3+0p1LMwsAq2iuz7HcwCdqpBpuHCBMwN1ffsH6G8Vbsk9ifeh3wGMKYmuUR+pPeEy1fw94d5wDHUU7h4E+D6GLnux4pEFspPYm52MxYAWCdjgNPwy3c35Wz3DXfWxZ9mcgm221T3atm2wMP4+8QxNcolsvNO/Cs1L2DBy3XzfkwpuPK9hgXFimIZg6XC9v3GL6b+TC8rAn/BL98fUNzKYER6T7h8Df/zvhebqNfJSMwFyedx8yiWmbQQvuy5QQCcQ3f5/r8bf/DGdSjDRJGsjAXe+HaU9qhPrAiTsUwSvpUVbcEOLnbHHxx4B7b13y1shrkZ+QwZpcQsjhFYpir3OfdhdTK6hQampH368wy6LJe5aIv0nnD5GP7f9u+pwPe/A96OfwHrTmBK3sYP9zQcAN+jOwe4vfDntr6I7pR3sDEGf1arZ7D0XN3GGMwn2ZV3EeUF14timYY/GOuf1L9a7GMt/D7CjwLL1SjXUOJk/Ku576tTqDYcjX8170t1CiVSI70nXPbGv7N9Jt25S7gT/jpCfyeHvBvjzyL07ZzCls3r8a86Hl2nUEMEn9vZC9hErlvpwT9gPklJATyiMMbijzm6lu7eHVwJf+2GS9FiRV72J5o8oxerrdPNHEm0Pyylu1ahhR/pPRFmTfw1EH5Jd4/vW+JfcDsxS2PjgLs8jZ1Jdz+EJu8gauUtRMWO8nAA0f4wB/OD7HZG49+C/RODoz8PV35GSVukFbAOfv/lT9cp1CBnLfyrYUfVKVQH+AIcn8biF0R3Ir0nwozAXNjdZ/o7unMHwWUPoovovcAbOm3oJKIP4VryR2lP7RfmCOAzWG7rz2DZkfaiWAv3OKKf4XbqiTQf7EwBnqP1WfZhxthgYTLwENE+8Z46hRKxvJ7oivFL5M/KsDywM1ag8WhsDDoe+Ag2ISgyEcMOROOk5mMGhOgcX3rR0wpqezKmn9bDJu1l6QlfJqzflHQvkY8y9d4IbL6zHjYelJVgRXqvWI7Bv3DVzTvbLh8g+hkepoPPsAFRS2MWnSvnsZiiPx7L5tCuyET4uBeb4OddXWn039dtX+nAOuenRJ/jj0q+5/5Yx3WP7+Rocwuiffs5BsfK9HBiJDbwusp5/w7baWDf+UeBXwMPkG4MegE4lWKyU3zG0/5fCmh3uPEOilPOo7Bg+G9hK62+3Yml2KLSaZhRWRQTicas9GH1P0R3UaTem4wtQvwMi2+Y72l7LvAP4ATMYC0K6b1iWIVoXZy5mGt+WfRgiyO+uVCeBa1fE+1/J6V98588bz4ggxAHedrp5JiFWTx5WJGo79iryCevE7Yg6rp1L+VmtppMfJ7xM3O2fbynzR/mbFMUy6eJfkenZ2hniqedTo6lWP2FPJkqGlj+dLftvXO0OdwYAzxG6/NbCGzUQRsNzDA4i/ZVSeOOWygule12RAOZ76L+FJpigCL03jgso9Cfia8GHnf0YjEFK+f/KID0XhH8hugz/EjJ9/TtXDSPPBnzJgKPO+0tJMUu91ZEt/j/mlGIvEZC8ziNfP5zH/G0+fUc7Q03fKXnO/Zf65Bfee5ZlJEwGrjPaXMBsGrOdkUxjMH8tMPfz4uYm1Cn5DUSmsf15MuktAHRQkc35WhvuFHEGL6/p41OjyUUl2L1dE/7BxbUtshPEXovrn5TJ8eLFBPcLr2Xj3WJGno3U65hPxV/ts4ijATwx9skLsb9znnDYrJXEHSNhOewbZPvA5/A6hochBUhOhH4G/FlrfMUAunBVoHC7b2KttrSsCHRFa8LSr7nm4gaqkUaCc17uO1+r4B2RX4+TvS7ybqj6BoJze38n2G7Fe/DxqDDscnfBcBsz/0D4I8ZZWjyXU+bdVUEHkyMIOpT/QSd7+743JXC+uBGTD/NwNICum4F4aOI4PNlibo53YYCSruBovReOyPhCSzO83fAJcC/8dd5CrCJ4o6ZP80A0nvZ+SWtz60P2LrE+zWAK4jvP0UYCXjusZA2tYfWJ/rDOCvHzffDdiE+3t92GtYCLsP/I8lj8e7nafNzOdobLvyc1mfWC7yuxPstQ+sW2F3As44MRRgJEM1QMAfbghP10SBasOgRsgeRTsYWCL6GuXikaWc8tkrty2ufxe2yyQpEU0r/LUd7w4UDiX4PWdJZu0bC/cDnsd1zX1aSEf3v+a/n/kuAzTPI4PJVT9tvLKBdkY+i9F7YSOgFrsYWPKbGXD8JM0DnEO0XD2FxnnmR3uucFYkacJeWfE9399RnMBRhJOzsaTc27vNE58Kl1JMHOC6/76dytNnAqrOG27s7n5hDnrFEV9MuLvme4cG5F+vATzgyFGUkvJVoH1PGh3rZleh38tGaZPG5uPwpZ5tuEbCldFfF6G7EXTR6jmzByk0j4XJglw7eNwG/gi4i+HxZojtXynRUL0XqvdMwl55T6Syj2TT8MXmfzShHGOm9zjma6DPbocT7rUZrH7wGy8ZXhpEAtnMabvcpPAsnDSxaOnzhnwsSIAsrELXc8srjK2azVc42hzLTiT6vMjNw7EGrm1EzqKosIwGi2W6uKLBt0Tnulu5s6i1v/29HnoXk80GdStSV7rh8Ig5pVsRcXsPP65sZ29oE203KwiSsCFVYjiUUkwDDjU2Yi1Z266RIvbcXNuHLwg5EdzNvztiWi/ReZ/yHcr6HOC4N3Ws+5olzKNF+WZSR4NutjbjCbue56NCCBMjK1bTKc2fO9qYQTQPW7dWj6+QiWp/V45QXpDOeVjeTxxlQlGUaCe52fy/KfFUXI4j6aJ9dq0TwBaLjYt5sI+52/y052xvK+HZzOsloVCS+LCNFBBrv5Gl3egHtimxUqfeS+KMjSx/5Eig0kd5Lz7pEf59Z3B3T8j7nXs1FpDKNhDFEde8Z0NrxXT/IeViNgTp52nmdd0XxVaK7EWVn6Rms9BBdPbkAG6TK4Fu0xq0cha2olc35zuseiskkITpnS2A559x5dQgSwh2DIP845Pa5rYh+bmG4eulWLEagDnyrrUW4iv0bi7sJo7iEeqha7yXh9rkG2XcmwkjvpcedI/YCvy3pXqtgKbeb3Ek1aWoXEXWpewO0Ggnug7gOW3WvE9difq6ANq90Xm+Dshz52JxoysmytiR3xIyCJudhfsNV8BBRBa2iRvXgjkHzsdSjdeKODX1YobU8uL+jHqzopGilWdcgTJ1uEc96zi1TQLsBUb2kMageqtR7aSirz0nvpcfVS7djaWnL4KcMLBgtBT6IuTVWgTsGrQtMbRoJPUQrxDFcEgAAIABJREFUSl5TukjtGUVUphsKaPfvzusRFJNabKixq/N6IZYisGjGYBm0mkEys7AKtVVytfPa/eyiGtxg0huwFY46cSepd2K7rHl4GCsMFma3nG0ORaYRde2qUy+t5Dn3fEFtu2PQBhRXREukpyq9l5Yq+5z0nh9XL5U1Bh1Ca/a8U7Cd06q4huiO2a5NI2FNLINDmDp/GGBR/GGLvo9i/JMfJGoF1uXj2s24z+QOytlZOpHW1HKfJv9Kbae4xuc0/CkRRbm4pe3rHoN2wApwhSkqHsb9bBqDorjPJMBcc+piS8+5hwtq27cApj5RPVXpvbS4fW4B/t2FLEjvJTMRmx+HKUMvrYBlwGryGHBSCfdpxyxgpnNuo6aR4At+qMvvcxQWqOFmsPghFpFfBO6DqCPNa7fjDpZl9IetaN01uBo4t4T7JOH2q7FEBwZRLqOIpgisawwCSxP4R1qV5q30B3MVgNvnNAZFccegZ7B6OXVxhPN6DsW5wz1NNAZLfaJ6qtB7aRkHvMs5dyXF7a5K7yUzjWhxwzL6xE9o3TX6CPl3rLMQ0UvNwkJuobNXKc/nak2iW2jjsACw7bEfxVrO38/Fit4UxQO0biFtUGDbQwW3yrZrWOVlJOZmNKr/9Xzgw9hqYdX4jM8NiLqEiPKYykBfaPJgSfeaTHTMG4WNS5thuwduqsx7gH0pzj/U7XPrYL+JpQW1PxRwv6Oix6BO2AV4i3PuQiw9axEE2OcLV3CVXqqesvVeJxxLNCaqyEU06b1k3DGol2gsR17ejrkaNTmHaHxAVbh9YoOmkbCs84dnShTiM6QvivYkVin1nIJlcD+f+/lF+X3iy7TWqPgKxf/40jILU/ajQ+fUJ6rF97x9mYWKYFdslyAN84CfASdghmxRuL+nEVgu/lcKvMdgx50glamX2jEa+AWtiT4WULw7gOtGojGoeqqcC7VjQ+CLzrlbKbaYqfReMu7zmEWxcXKTsQKyTV6i3ro5kblxc9BzC7fUuaULtpr2Q6z4TdEGAkQ/36QS7jGYaVBun9gcyz/f5D+0+uPVgfpEvfiKR9U9Dv0N8wk+jmINBPB/NvW5VtznUVd/OA3TRWG+hVUlLRKNQfVStt5Ly0TMGBgTOrcU+CTF77Srz7Wn7P7wI1rTKB+FGQp1EekPcUZCFfnp2zESC2B9GJtMjm5/ecfoh9GesUQDmIryj2u6GTW/06VYJezegtrPyhzndRFp5kR63DGoWWmyTt4C3Iv111UKbtunbNTnWukGvXQ05gYZ5lrKKcLpjkHSS9VSpt5LSwNL0LKpc/4kisnu6CK9154yx6A3YoXTmvwZc2Gsk8jcuOlu5E7Qyoxwv5rW7ZoebMtlKrAtrUWFVsRWbN4F7EMxdRLAJqph5Afcim/CXlTFyWOx77nJ97C8w3Xj+sOrT1SL2+caWJ8rw3h8GPiuc24ylmFiO2Dt0PnRwAeA/bDqutcWJIM7BoH6nEuVesnHO2gtbASWfvIwyumXGoPqpUy9l5YfAgc55/6OzYPKQH2uPWWNQctgxmAzKPo14KMFtZ2HyNy4eaLKlfXLiS+UNQLYG/g6sEXo/NbAVVhKwiIse9dartutodtYTNRXsYg+sSFWDr7Jg8A3Cmi3CNzP566wiHLxrdBMpBwf/f/SPhHC1v1/DyvrFYA/YfEMdxYgg2/FTn2ulTp3fPfCqqqGleZs4G2UFyvTLe5Vw5Wy9F5avgUc45y7A1skLWunXXqvPa5eKqo/fJfWBD1fxGJw6yYyN25aye5gVNeWUy9mQGxHNBZhE6JpUbPifr663au6EbdPuNWvO6UHyzE/tv91AHyM+qt6g8nWDa4NwxnfhChvn8vKbcB0bAchrJwnAv9HMatJvjFWfa6VosegtLwB+AOtPuHzsSwkZe56Si/VT1197mu0xumBZVR7E5Ztsgyk95IpY268B+Zi3eQm4PQC2i2CyBjUNBLc4lVrUW9RjSXAh4B/Oec/gq3o5WWq87qoCoZDCbdPTM3Z3jG0VnQ8k2j167pYk2h/V5+oFl8BvalVC+FwDtFt/s2wVKh5meq8no9Wjl2KHoPSsBNwKZaWu8kCzEAoqiZCHG6dEI1B1VNHn/sUlj0tzEPYbtasEu8rvZeM+zyWJZp1rRPGY7V2mm5Gi4EPUn9MZpOpzuvnm0aCmwt4DNFaBVXTh1nXYcZh2715cYvHFVWkbShRdMG58Hc5Cwv8Wzbl4fqFjvFcM4bs+IoJqk9US7cWk/oOURfHdxbQrtvnHqSeGiHdTNVFL7cH/krr6upizN3jmpLvPYqogtYYVD1V97mjsTiEMI9jOwhFVVaOQ3ovGV+djDz1S95La+2Fn2JpR9PMgyZ42lvGuSaPAQNt5sbLYwoqfLw9582KYCSmoMNy/Shnm6M8bbrZK4RNjsLP6N6c7S0i2seKPD6QQ7ZPOW29nKMtkZ1baf0e6k6L2+RPtMp1TwltziigzaHGm4j+zldv+47sbIn97sP3WowV1quCTYl+1m3bvkOUQdF6rx0fwhZDw/d7kmhBt7KQ3ktmJDYOhJ/TETna+zTR33mRR94iyM847X2huUI7i2gRhdfnvFkRLCVqTed1N9oO2/IJc3fONoci7kRoY6KVsocKuzuvi5gEis5xn3s3jEEQDSjLOwaNpLXiO2gM8nEP0d0V97daBBthOwjhwkm92KrfpSXcz4f7uZZiAfaiWqrSe+/DCvQ1Queex1yMHi7hfj6k95JZCtzvnOsWvVQ004BVnXN3h904/uH8cc9SxUnPWOd13tzpb3Rez8VWMEUrVzuvG1jAzVBjBNHBsmzXAuHnH87rzSkmBikvRY9B2xINiPxHzjaHIs8RnSjvUfA9NsTGupVD53qxSdxvC75XO97gvP4PCiKtgyr03kFYTF54/vUiNjdxJ6RlIb2Xnn84r9055FDB/Vy9wPXh9G5XY/mfm2yNbe2Wle4tDZNoHbwhf2DNPs7ra7FAadHKM5g/Xtgn8+1kd4u4BH9u+DTsQ+vuz6PALc41j2Zsexeipdc1WNaDq6B7sBik/6tBljDrO6+LHoPmYRkuRJSrsdXcJntjE5wiAv026G8/vHrWzLp2XgHtp2UsUQXt/hZENRSt91wOBM6nVRe+hH3/Zbo2uUjvpedqrNp1k7WwBBZZdn9nAhdllGMtrAxAmL/SmvAiT/ILVy/dipNZay2i/nHH5bhhERxO1OfqkBztTfO05+YlFgP8hNZnNZdoyrQqeMKR48wC2z7DaXs2+YKgRT7+S+v3cWW94rA6tuVcVP9rAI847f0xp4xDmf2IjtlvLqDd9YGnnHb7qKeg0XSin3GoujQMBsrSewcQ9W9/BdimgLY7RXovPVOIxlR+rwY5DiU6TviCz7OwEtG++XXfhdc6F91Lq89clSwDPObIs4h8eYu/7rS3BFgll5RDmx2JdsojapCjLCNhHDZIh9s+u6C2RTa+Quv30Yul6quLGUR/A/vlaG93T3uH5pRxKDMaW2kNP69zc7a5Frbz6BoIn8jZblb+6MjyONVX+hUDlKH33gYsdNp8FYuRrBrpvc75Ha3P62mye0ZkpUwj4RhP2xv5Lvyw58KsKUf3wAZd1583DasA//bIksftYAKWAznc3p9ytDdccFd276V6BVaWkfBJon1sj4LaFtlYm+iO5skZ21oG+AHZFgJGY+np3P7xGNnGtCaXOe3NJppIQbTyM1qf2WKsn2RhTaI7OQH17ZpvjBnCYVm6pQr9cKZIvfcWogbCXGC3/GJmQnqvc95J9Jm9p2IZyjISRhEdE2PdXydjZbnDF1+X8cYH97//OUzZvgF/ntcw62FFRWYTfRiziUZed8JnPW0emKO94cLnKXYlNQtlGAmjPe0+iFbwuoG/E1WoWQKYl+t//wLMD/QQkjOVLIstljxAtN8HwDsyyNFkC6IG0M9ztDdc2Jbo9/DjDO2sgRWpcttyK91WybmOLL3ky8MuiqEovfdmbPwJtzOPcrJ0pUF6LxujsUybdS6YlmUkvM/T7pHt3vBdzxv2znDjppHgDoAzgSuwbfwz+v+9iugXED4WYKnBsjIFCzYMt3k/+mGkYTK2LRp+dndQ7VZbGUaCmyM6wPJWi/p5M9Hvxi04lIamkeAez2BBepdgVZUvAC7HlKW7qhs+vD6aHeDWRlhCdTnRBztX0Prs5gPrdtiGmwM/wIy2l3MceQKctyAa73JhjvZEcRSl99zaLwHmNp2nz+XRU9J72TmO6LN7b4X3L8NIGIel3HX1Y9vd8pWxATj8poeS3uTBZyRkOZ4lf6Caz22gyi93sPNNos+vyoDvoo2EVYgqgCew1QLRHdxAdEK9ZYdtxBkJnR6LgONzfRrbgXDb/U3ONocTexB9fn/psA2fkZD3+EPGz9PAUiu6BsvmGdsTxVOE3vMZCXmPozJ+Hum9fEzAUtWGn99zRLNElUUZRsKJnjY/k+aNvt2Eb3Z4822wNJXu9nra4zUsy0DeMtM7El2tuYfqg04GM8sTDR6cjQUAVkHRRoIvGDVPxWZRPL7dhBvo7Hc7HptIuv7AaY9ebPV/Y7fhDplMNAnDQuRW0inubkKA5ZxPSzcZCR/xtHVBxrZEORSh97rJSJDey8+xRJ/hLyq6d9FGwsZEXeEeJ2WM3Hii2R96ybaivwbm8/RL4DZs8h+nkO/Dtm/fj9VIyMsU/EFq3VIobjDhC2q/iWpWIb6D/RCbR55doCOJfo6bketZN3Ih0e+q08UKsLFkfyxt3T+Juh6Gj6ew4OLPU1xWpfM89zmpoLaHExsQVWqvAOukfP9x2NZ6kUeWCcImmF96+HPMwdLtiu4ir967jOL7XJaAWem9YhgJ3En0WR7W7k0FsR2t86BfEK0jlpaxwO1EP8cBnTRygKeB5yhmIFsJ88XdBhv4VyJfxhAfPcClRD9D3YWZBis9RF1AArJnnqmDrYlOMpYAW9UplIhldaKJFHrJFiPlMgnzad8CW1FZnXJqgPgyiTyC+YKKznHTWDcnbYPleS6DLYa5nyHVFr+oHOk94bI7UQ+ZV2ktwNftnEO0T3fqvgnArz0N3YP5+nY7PyIq+xPYFqLIxvr4M099uk6hUrIO/uD4L9cplEjkEKLf2TxgpzqFSsm+mDJ2lfOudQo1yBkF3Ei0T1xG97uQjsbvMvUPrIq06E6k94TLKfjnl3XW9EnLCURlf4GMGwAT8K96XEc9lXfT4hZkCrDc2jvWKdQQwTdp68WqY3crq2JZtVy5r0DbrYOBs/APaq+rU6gE9iS6eheQPwBa2A6QG4AZYP2kW3/PI/H7hD9HvtTeohqk90SYUfhred1Jdy9Efxx/P35rnkY3IVqdLwD+A6yYp+ESaGDbgK6sAfVV0xyKnIq/o2UNqCqTafjjUh4hOWe+6A7GY0kQ3O/wJbrT8D8Av4HwO6Sci2J/ogkpAiyOpduytUwgmv42wLJmKT5u8CC9J8KsjX+X5j6qS+rSCV/Cn0joa0U0/nr8Su8Bumc1byLwW/wGwrdqlGso0oM/qDTAgkO7Zdt/d6JVtpur0IPJf1CYYvOtis0F3lWjXGEamAuCb/J6LYPHb36w4AvGDLBifN2ygLUG/hXHXixNuBg8SO8Jly3xu6I9iQUadwNjsCBnX78tNDPTOzCXHZ+SPqLIG2VgM6w4mu8hnIEpb1EsY/D71waYO9oa9YlGD2Y1+yZrr9I9P17RGetg2Yd8fe4nWJ+siynYToFPtjuoLpf2cOPL+J/509RX1bbJ24jmVQ+w1bxuXH0WyUjvCZc9iWYra+4UHkO988/18O/CB8DFlBAL9Uai2Uaax+WkT0VXFKMxH1/fLkeAbQ9qe788RhO/e/MK9gOpOiBvC+BfMTI9izI6DHbWJn5B4AHyVWbPyr5YfmmfTDfS3T6qQ4Gj8FfK7sUK1lX9/JfDdI9PpqVYWk0xeJHeEy7b418QCLDEBJtULM9IrB/6djkCLCnRqLJuvj3xecbnYfm/y85+NAIrLPFQjBxLgc+WLIMwerBVXN/3EGBWbK6gmJSsiVXW9q2iBMB/qd6IFeWwAv4MN81V2guAjSqQY0fgqhg5AuASik/tLPwcSvxi0XPAxyh/p2k85m42K0aO14B9SpZBVIP0nnDZhPjFokXAD8he1yAtDSxe654YOfqAb1DB7sZqwDUxQgTYbsN3sdRhRbIMtgrzQJt7Pwu8oeD7imQOJ75QXoAFuh9M8ZOmLbBCfYva3Pt8iinOJ7qH0cAPia/o3otlk9mVYgfEEZgbyZUx9w0wt8zPFnxfkcyW+ONWmsfTwOcoPnBzNeCL+P3Am8ed5KuOKroT6T0RZnnMqybuO5mPGZdFx/KOx4rs+Qq9NY+XMQOiMkZgUdHtOmkfcD1wNFawKAsrAtOx1cH5be4VYBkkyrbURDwbYoNiu+/oFWxw2xcz+jqlByvC93ngroR7zUZb+0Od/bGV4nb94GFsh3MXsm2xjsOqzf8QfzaL8DGT7sy4NFyYhG2lxxmPTSPucuB9ZPchXwf4EPBX4ldxm8bqT1HQ+lBGek+EaWDFEX1xCuHjFmwxaXOyLSgtC7wT+BXxYQDN45+Yq26mD5OXjbBBMM3q/bPYj+kBTJm+hAU+v4JlJ5qIBQCuh/3wNgM2TSHnk9g27yWdiy8KpgfLOvJNkoM1l2JBnfdg/eExrC/MxYzPyf3HSlh/2BBzd0vjznYBtmr4TKcfQAw6pmCVeD9Gsi/wXKxCb3MMeoaBPteDjUHLYtv407DFje1IdlVZAHwby3KyKMuHEIWyB6aX0qzYPYiNQzP7j2Z/mIONPxOxMWda/7EVVqshiduwvOQ3dSa6GIRI7wmXqVhs0n4prn0Rmxv/F+sTL2Ljz6vYAkNTL62D9YdNMeMiSd+9AByHxWYFnX6AonkHcCvtrZmijxeAL9Ddhd2GKysC36f9VmwZx5XAbhV8PtF9bI5lbPAFjJZ1LMJWCKeW//FEh4zCDMfHqHYMmgm8H1VRHo5I7wmXvTCPmir7wyvY7nlXZtXbG/gb7bdg8x73AZ/C/LBEd7M8Vgb8CcrrDwsx/3O5eQiw1eOzSd6CzXO8AJxCvSkPRTpGYZP2JJeQPEfTtfZQZBwI6T0RZQ/gUvylBIo6HsYWzrO4tFXOasCxwA3AEvJ/+AexrRvl+h2c9GAuaWdhAYR5+8N8LLPMkXSptSxqZwIWWHgZxRgML2KpD/ejxPRxolQ2xopr3k37uIU0Ry/mUnQC5iIrhIv0nnBZEfgkFifQLqY37fEY8HOKT9IBZTQYwySsavOOmD/VNMyn0xd5vxgrmDQT88+6A7gaizsQQ4cNMct6c6w/bAisir9q5SuYhTwT20W6AUuBubAKQcWQYCS2wLAbNlHcCBuDfJlu+rA0z00f9XuwAb0ZMCiGBithhZC2YcD3ey38QcbzsfSGTZ/hm7E+MasSScVQQXpPhBmPJdTYGdNJ07AFh8mea5dgsSbNeLo7sCyjj5QpYDek6FsWMxbm9h+L6xVH1MxYLMZkDNYfZtcrjhgGTML6XB/mSzy/XnFEzYzE+sQy2A7UHGzXQIiykN4TLlOwPrEQ00tKiCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCDFsadQtgBBCiGHK75lCH8vRywRgNH3MJ2A2S5jNe5lXt3hCiCHOCfSwIavQYBw9TAGgj0WMYj4NZnMAs2qWsFaGvpFwEUcC67S9ppcLOIQ7U7c5g8k0+ELidUv4IYfxfOp2f8s0RvCBttf08TAHc0bqNpvMYHUabEsfW9HD2IR73MPBnNvxPYQQ7ZnBOjQ4su01AbOYzvc7bPedNNgh4ar7OIjfdNTuhXyUHqa2vSbgTKbzUNtrzmUZRrFNv4xbA+v3H5NiW4WHaXAbAdexlN9yGC91JLsQIp6L+BD2G4ynlxkcwm2p25zBRBp8OfG6gJ8wnadTt/tb1mMEH05o83Gmc3qbvze4iI2BnYDN+o/1gVWBUW1angvMJOB+eriCJfx5OI1FI+sWoHQCNgWOantNgz7owEiAXQk4PvGqkdwFnJ+61QbvTNHujxLbOZdlGM3mwDb9xy7AugSYWRgkyvE7kJEgROEs4VVGcSzQ0+aqXs7lFxzOnA5aPo6AHROueRQ6MBJOoIcG3yFgcpurAuBk718uZiv62Bt4O7A97T+zSwNYn4D1gemM5GRmcCkj+DwH8kgH7QghfPSxEQ0+2/aaBiOhAyPBxqDkuVGDB4BzUrc7gn0T50YNfh77txl8hos4Hlgp9T0HmAhsTYOtCXg3I+llBpfSw1d5F/dmaG9Q0cmgPTgJuC7xmga7ddjmLimv3LWjdhsprm/wr7Z/n8FNjGY2cB1mULwHWLcjOYQQ5fBuXgHuSbhqBKPZOXWblzMeW51PYh1msHrqdl/H5tDWQAB4gOm86P1LH7cC3wB2JL+uGQ0cRC93c1HCxEYIkYbrE6/odG6Ufs7T2dwoSHV9u8+zGdkMBB8jgAPo4y4u5OsEQ9sjZ+gbCQ2uTXHVdpyT4ILT2mbaH076H8IJ9ECKicGIBCMB1k59TyFE9QQplHMnY8dCtscm0WlI326acS7dZymS8QT8gIs4peL7CjG06OV6kv0KtuI3TEjdZpqFTkg76W9e2yDNuNVT+VjUQ4MvM4NfVXzfShn6RsJ0ngMeTrhqDBPZLlV7f2YMsG3Ku2/KDJZLeeWmkHjtgxzIsynvLYToRnpS7G7S0QpeJ6tyRV9btWI2Aj7NDI6t5d5CDAXMr/6/CVeNYlyiG6NxDSMhMS6qyTRmsEqqKy9iGrBywlVPcSCPp7x3sTR4LzM4opZ7V8DQNxIAGgWu3M1lO0i969DAgmSSSWNZV79qJ4QomjQukLB9/4JEmvbKMSi6f0w6kRkJSSmEEO1IHov6Uo4vL7I15r+fjmLdttN4jJTJd/qNpCHH8DAS0ijl9Iq20ziD4tpNikdIx9IC2hBCZMWyejyacNVYXkuxYzmDEZBypc/YjBmJcQaWTQRWS7jqWQ5J3KX1MR/4M/BlAo4gYB/gEOCbwP0dtDMO+HyG+wshIG3MZjlxBj0pjYQ0c6jO50azgL/Q4AfAx2kwnYC3AgfQ4KME/AI68tpYmZd4Q4cyDAqGpOUToY/rUphDuzCDEUynN+G6ToOci/PR60u1AhlmCfAgcCtwPT38i4D1CfhDh+0IIYok4DoaCavgphzbK78+tqCHZTq48wga7Az8pe1VPanGuU52EQLgKuA05nEF72eh55oLCfgKM/gQDU7FjIAk9ucEPsYJ9HUgixACoI/rGZF41Y78glEcyZKE6zoNRk43l0q3o5lmbvQEDX5NwB+BWxPnejP4JHAscBJpFtRtZ+SKFHIMKobHTsLBPAiJ9QqWoYfN215hwcXp3IcG2DYxKNq2zNdMaOeF/s/Rngb/BxxJD1vzChOYziZM571M55e8i3vpkzIVogsoxgUy/SrfAOm2+YtyNQoIOI8+NmE6ezGdy2IMBKNBwMGcQYNDSQ6qBFi5PwuTEKJTDuUx4MmEqyawfEL2NAsuTus+1GRLZiS4J13AasB6Ce28wn0JqUh7OZH7WIeD+CrTuTnFYjBMZzHT+SYBX0m8FiBI3HkdlAwPI6FBQBqlnGSxWnDxsjF/jQuaGcN4tk+4c7oAwUYKpXkQx/YbBLensPyFEHUwItXK1y79CxPxxG/ZzwFeiflbmhW8IjIbXU8fO3Awh3NIR25EcBCXAr9PdW2DNTpqWwgRJo07dvs5yiVsSHyK0bi50cjE2i4jUo1VNyTuJB7KY5l3GxdxKrAg8bpGbGHIQc3wMBIgXfBy0vZX+x/KD2L/kuR7F/D6tn+3axS0LMRQ4UAegJj6AgNM6V+YiCd+zLqBeFel9kHR57MysEGCbHPoSShAOZ3Xcwj/SWinHRekuipIzHwihIin3LlR0LZ6fNICaf0Z1t7LPOCJxOsCZpUqR00MHyMhnc9aktUa12HnAmcB82Lu3b6jp3EZkJEgxNDBdgWTg+1624xJFly8asxfr6cRO+aNZR7bxLY7kt0gsUDQjam27PPQl5ie0QiUjEGIzKSLddwloWhY3BxmIeM5B5jt/Wvy3Kfo2KisJMd99XBXBXJUzvAxEuAO4LWEa1bpV7x+4if7NzKdBcBNMX/fpT8LSZTzWQHYMEGueczmjoRrhBCDiSBF2r52mT3aK9jr2y6MtE9rmGbRoohMa+3pSZlYo8EzJUsixNDlv9wHvJxw1QpcxMaxf42fG/2HfZmP7Wz6sKBoH79nClYpuR2LmJhrtzKZi9mK+MWYJr308NdS5aiJ4WMk2KrXjYnXxWX1uICpxAcXmyUbr5Qn0xfjNpB21U7xBUIMLfJXXo7722LgZiyr2XzvFY22LpBpqpt2mmmtcwKmpbiqj5HcVrosQgxVzFc/2eiPW7C4hFWJCy5u7mbG72pOYFm28v5lMTuTPEe9mb1ZlHBNds5jWfo4I8WVF9ZWzK1kho+RAO06avga/w+hJ2HVzq6Jbz9u1S9NDuAqVu2EENWyMreTvLu5emzBsPix4xams4Dp/zMWfOzqDYq2bCNbJMi0hLGx7RZHg0NSXHUtBwxNX2AhKiSN0e+fwyxtM4fp65+7tHf3zjM3KsfV6BLW4CKOZhR3QBvXTOMJRvLpUuToAoZHnYQm+YqqxRkJS2kq4rHcyAIWA6Nj3v/TDu6AHcNrAAALXUlEQVQ3QBWrdkKIatmTpczgJuBNba+zxAatxddmsCLErLS3Ks5rgT08Vy3LRrwOuMd57y40EvXCrf0uBOXxW7YA9k28LuD0UuUQYniQPXi5h11i8i72/a/I2UT+w1wWgjcd/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Zr32QE8vQ24S1QWNTU0PWFLvaqGnYFn6Pn5fx5wlodr+pmw7AU83GvsJIyGxVLlzF42e0xNoOYQVT0A81qoKfCUDG8D9wmyaOP3Nr5v8q6TuzwL0pKTWFvsI2CDoVxDRZsi9ZHemzKWCscmLBZLlZHVxPFQ4EBgw34+da1Q1dHfR+ojXguxLf6yMzAFOJx1NUqfAOMw+hYv8DNheQCY2GvsbeC3GK2Otb4dJsxpn7NlkuRBKD9kgMmLILer6sLGhsaHD5PDkt5FacmmGAmLIEeHGkLXFSkkS5lgExaLpQpIN2I7GOUQhG8DwX4+tROjR/ljgMCfptVPe9PDMC2lYU+gCTigwLxmYMYg16gHFuX5/efp6fD0EcbFKxcHAIN5LfbVLDKbBEZ434y3JXCWMiO2IraxJGVS2nHse5iePP3hXeAPonK9PWn2nlhb7FGE9Qb0pJ49wT5JrE5sZRuKVh82YbFYKpQs++FDGZiz1yrgIUEWodwRagx96F2UlhIRBI7EnKjsWGBuhgSmT8lgLGC3B4rpvjQWeGWAz3EwBgJf68fcJHAbcC7wzwGuY6lwep1CH0T/d/RfAW4XlUWhxlC+xNjiEy2tLbumJPXkmgHhd+H68M9LGJLFI2zCYrFUEENIUt4F7gHurFmv5p6pW0791LMgLaXkM8CxGD3K1gXmvohJNLK5F7P7PFDKIWH5JevaM39C4d4dTwPzgRsxiYxlGOG2u3V1WrevoocKMknRjfr1xLRVcoDAjdMap+U7LbR4SKw1dinCLzKPJSVfD40P/bWUMVm8wSYsFkuZM4QkZQVwB8qdiVcSj7h7u93eRWkpMeOAX6R/8mmWuoDbgbnAk8DdrJugDEagXuqEZVvgKXrulL8P7AB8FYjQ08q5L1oxCc8VmFNIyzDDXeLW1o2q24cUP1T0EGDjfjxNgX+o6M011Cy0ZbX+MW/lvJGdXZ2vZyWZ/w3Vh7a3ZXvViU1YLJYyJLo0upnUyMEoh2LsWPtr8/g8wq2icnuoIfQvD0O0lAdfBs4AfkJ+QfHHwNWYEqiVWePjgf8AdVljCYw17DNFjdQ76oC/A1/qNd478cpoeb5P/u++jED/YuCd4oVpqSQW6sJAa1vr3ghH0f+ysRTwNxFZlOpO3RSZELF9fzwk3hb/qaLXZw1NCzeE55YsIIun2ITFYikTBn2Ski5NcALOLU3jml70MkZLWSDAPsDpFBbSvwFcDlwAfJBjTu8mi2BO574OvDb4MH0hgBHRH9Jr/DGMK1RffTUmYMrHTgBG5rl2RqAfBaxj3jAmvZM/UdGfYRpV1vbjaQngAUEWdazuuM2KwItPrC32MOZ9DtCdclLb2EbG1YtNWCyWEmKTFMsAqMVYEjdhSp3y8S9gHnAzpgwsHw5G37Rfr/ElwDeB9wYcqX/MB07tNfYe5uSpUEnZ5sDJmORlkzzzUpj/nzjwxODCtFQLbru7UZ3WHZj+zP4u/bNKXg08CFyXWJ24wzbeHTqzls+qr0nVtJK+jxWV20ONoYNLHJbFQ2zCYrH4TPTV6CZOp/N9m6RY+smGwDGYDvWfKzD3CaAFuAtTW99fNseUgPW+/jMYjctbA7iWHwQwepOTeo2nMCVf9w3gWusDRwBnYrQw+bACfcsaWl5p+WwymTwM5SeC9MedDowBys0OzvVNDU3WoW6QRNuizYJEMo9VdVKkMXJXKWOyeItNWCwWH5i3ct7IRFfiAOAoBpGk2EaOw5J64FfAz8nfM6ITuAWYAzw/hPV2Av4C9HZJasXsJC8bwrWLSR1wA/DDPn53CkZ/MhgcTLITBvYoMLcNk7hYgb4FgHhrfBscDibFUSq6Sz+f9hLKLd2B7mtnjpvZ7mmAVYSrrhNsDy4HxqSH3kysSIyxxjLVjU1YLBaP6CXaPJjC9qoGm6QMd3bBJCqFhPQfAddgHL9eLdLau2NKV3o3bvsIOBGTGJWSbdMx7NzH784B3CKtsydwGkYbk8/w4h3gKkzy8nqR1rZUOPGl8R3V0UMRjsQYWxQiBfwN4brEqsRNVu+Sn2hr9HsicnfmsYrGI/WRcCljsniPTVgsliITWxb7Cg5HYfQGm/frSZlyL3Fubmposh24hx+Z3f3TgIkF5i7HuF8tILeQfihMxDRV7MsV6VLMCYTfzUYdzEnTefQd12xgpgfrjsdoZPor0I9h+ttYLMCa5OVn6Y2rrfrxlNXAXSiXhxpCD1qL3nWJt8f/oKprjDZUdHu7uVf92ITFYikCmR01dfSnotLYryfZJMViOtL/GAixbhPH3jwHnA/cBHhd+vAVjNC8r4T7TYye5ib6duHyIpZLgN36+F0Kk+Rd4nEMAxXoXwgs9jgmSwWxUBcG2pa3TUyROkpUDiZ/AgyAIO2KXp1MJa+ZMX7GykLzhwPn/vfcTbtGdL2K+ewEeDTcEP5WKWOy+INNWCyWQRJvjW+jjv4E5Ujgi/182ssINwVSgZtsd+RhzaaYE4PTgM/mmaeYEq35wJ3FWHjO0jmNydrke+Gx4fcLTK3HnBrsmuP3SzAnCrfgTQL1NWA6MIm+v6veBY7GNL/0i0yCGQa2KzD3GUzi4keCaakg3KXuZ+oCdQelbZL3ofC9WAp4SJDra0fULpoyZspq76MsT2JtsTMx/aQAUNFjIvWRa0sYksUnbMJisQyALEvLnwHfxpSqFOJd4A+icn1TQ9MT9oh/WNOA6Z9yPOvqRLLJCOlbMInBkFnw1IIR72/y/smq2iwiC0P1oeP68bRajEbmVHJ/X7yGcc26rgixboYppfwpJmHJxRMYjU+pdp0zJXwhTJPNfLRjEpcrgU89jmuYoptgXjubYt5XnwJvgrSWNKx+MHvZ7DGBQOAIlOPpn97lfWCRIL8djs2BY+2x51F2TD/8JLE6sZXV/AwPbMJisRTAbXfr6rRu3wE2DVsF3C3I9R0rOu617iXDnq9gEpUjyC/izgjp51DEpo3x1vie6uhlWV/0IOwfrg/31/7325iyq0KnCsuBh4FHgBeAlzH/pr6oBRrT19wjvcaXyb8J8BHw63Qs5fKe6u/f9kPgWor8tx1+qIN5reyR/tkd2DjH5A8wJXqXgTzmT3yDJ0v/eCT5Sw8NwtPA5U7Cublpu6aPvY6v1LS0t+ye0tTfsoYuDzeEJ5csIIuv2ITFYukDV12nrq3u/1T0Z5gd38/042mdwP2CLAqsF/jD1C2n2t3U4U1mF74J0zU+H57swrvt7kZBDZ6D0V70TASU1xJO4gtuvdtf4X4tcAbm35PrBrEvPsScMn6CaWK5McYxbxPy3+Bn0405xQkD5drJuhFT4uf76dnwQjcgdxKcj5uAySBlvxs/b+W8kZ1dnT9U9OfAtyh8r/aJILeo6oJwY/hJH0IsCbG22BWY9xcAKrp7pD7yjxKGZPERm7BYLFk0L2v+guM4x2B2uLbsx1NSwGOK3igBubUfugBL9VNynYOqSqw99lNBziW3U93i5IjkMTPGzBjobv/6GP3NNPLrb4pBF/B7jAvYyx6vVSw2A47DnLrkc4Uquj5peNBnwtKJKQ/MJN9b0fdr8wlgIkiHd/EVl6ySsZOAsQWfkD51qTZ75Llvzh3Vvar7dTKbh8KScH34C6WNyuInNmGxDHvcdnejIMHDUI6i8E64Ie3wRQ3XhceG2zwN0FIpbIZpXHgKppY+F57eqEbbo9sJcgnKt3NMeQvlzHBj+MYhLhUEMs1Q96e/zVD7x9MYTczvgf8V8bp+MhAHuGeBC7AC/X6gG2B63jyCcWJ7APgvSLLXvM9hduOb6OnINQvk135EWkxcdZ1gW/DbCCcCB1H4/fYxcHNKUpdOr5/+nPcReku0NXqsiPxuzYAyJdwYPr+EIVl8xiYslmFJr6aOP6IfFpOYHbw/ppzUtdPHTX/G2wgtFUR/S4EyvTriGH1HUXFfd9cLrg5OQwix1vIzGwVuGNE1YspZnz/rnSIvvzGwd9bPtgwsgVkJPI7RvzyI6SRfLQymx85l+N/rpkJQBwiAdPVz/jeAh1jbhPVdYKv+P7/8mLdy3uhEd+JHKL+kPw6VmVOXYOIG97PuKs8D9IBYW+wxTENXgE5N6taRCZG3SxmTxV9swmIZVkRXRHeQbjkK4Rhgi3485X1ME6/rbBMvSy/62w09I7ZuwaNu6PG2+CRFLyJ3ycjLpDgpPD78kBfr98EIjCPatpjynIMwpzAZ3sToYZZiSr2qXjCcJiPQ/wlrb6D7ImO+MBd41fuwqh29Gjgma2BXkKdLFExRibfG91TRE4FDgbp8cxV9T0SuDaQCl1aSrX60NbqtiLzE2nvWP4Qbwj8qZUwW/7EJi6XqSVsRH5kWMH65H0/pFJV7cLhm43c3vmfyrpMrdifOUnQGYmfbhin78szOdk7rnAlJSc4HvptjymqUOYmORNTd0e30IoZ+Mh2jQ8nwEoXLpKqZjL31z4FReeZlBPpzgOd9iKtK0WOAq7MGJoHcVaJgPCHeGt9QHf0xyqlAIW1Hpiz18sb6xtsOk8OSBeaXlHhrvEVFp2UeiyPfC40L3VvKmCz+YxMWS9WStog8ESOgz3dTYFBewOG6mmTN1VPHT63UunmLN9QBhwER4PMF5j6NSVQ80yO4S9z16+rqZqroGeQuvfpTt9P9q5njZrZ7EcMAsQlL32yI2fnvj4HBE5hTurswN5yWfqM/Ba7PGtgHxK/TRt9Jf/edjnG4LFSauQzhShwuL0fTGPdhtyY4NvgKGQML5bXGhsax5Z5kWYqPTVgsVcWc9jlbpkj9WFWPp/AukzkiR25NOakFla1L0fUw7imrQWzte/HYHDgZYwucry9CCtPv4UKMENgzCpV/qWgrKX4VaYyU0w6yLwnL3GVzNy/GZsOhCw8NLDpskZ83RBmBfhOwQ4G5zwHnAzdjXNQsBdHzgV+lHySBLUDeLWFAvtDc1ryFI84xojJZ0foC0z8GbpakzA9NCJWN3Xa0LXqgIHdkHis6O9IQmVnKmCylwSYslopnEO4pSYy49/LR742+vfJKvlSAXYD9MB79O9PTurYL+DfGRecKkP/6HWEVMB7T3f0E8hsyZIT0MeBFLwOKrojuICm5KI/712oRiXfQMcetd8vNttXThEVVJb48fgLKuSjHhhvDfxjK9Zpbm48Q5ExHnD92Jbtunjlhpl8d0wci0H8DuBzjLtbfXjrDEN0Wc+q5fnrgVpBDSxiQ77jqOrVttd8VkZOA75G/OasCf1bVizobOu9zxU35E2XfxNpidwAHph8qKbYNjw8vK2VMltJgExZLxTK7bfZYB+d4UTkW4XP9eMrzInJlTWfNjR64JPmEng38DONM1a8nYDQUZ4IMF2HzUOivkP5t4HeYExVPGxm67e5GwVQwhHAGpnljX9zV7XSfViblX33hWcIya/ms+hqtuTIrkXt7RNeIHYbyHo+2RW8RZK+soZdTpBbWpmpv8bFcdBfMqUAhgf7HGH3GuRi3NQsAOgpzahVlrcHK68BuIMPWyGDO0jmNqUDqZOA4RTcqMH2pqJzfMbLj2lK4i7lL3PWDI4OLkfTrX3k+3BA+xu84LOWBTVgsFUWv05SDyf9FDubL/HaU68KNYU9LdfxBk+TeHVNyv6efwdRt253YdcnsakeA3QvMbQUuAq4APP0Cd9V16trrfqroXHI0fyzT8q++8CxhibXFfgP0LhG5drA3NtFXo5tIl/wb7eOzRehW9BFg0frd69972oTTEoNZY4DUYxKX/gj078AI9J/yIa4yQRsxNtAZApj3ywR6JvhPAEeBVJNl9qBx2926Oq07TNGzKGyN/CFwbXJEcs4gGs1aLEXBJiyWimBO+5wtkySPRvkFMK7gE6q022+vhOUfwG3AY8CLJhnREcBOmGZ+J9GzPO6PIIf4GW2Zsz5wBHAmxn43Hxkh/Y2YkkJPaWlr+VqK1HxgtxxTjPuXk4iXYflXX3iWsMxfOj/4qfPpM0gv7Yewf7g+fN9Arxdrjx2D0tKPqR8p+mcHZ2GoPvQY4rkQ/jPAscBUKHiiPIwE+rozpvFmLl4BTge53aeAKo60NfJpFN4E7ARukaS0lJPOxTI8sAmLpazJ+iAtqE0R5ANFFwry21BD6F/+Je3nUQAAIABJREFUROg3msC4T80FKdB8UL8B3EvPXdlvgDzuWXiVwRaYZO5UYHSeeRkhfQz4qw9x0bK0ZetUTWoOyuHk+nxW/tgd6D6zjMu/+sJTDUtLe8vuKU09Ts8yvlecTucLTds1DagUsuWllg26a7v3F5UDxZG9+zxpWZfXBLmtm+7rZzTMWDGg4AdOLcb9aRqwY4G5/wLmUdUC/YIJC8Bq4CpghjUlyc2s5bPqa5I1kxGOJ7/JiAIPCjI/1BC606fwLMMcm7BYyo7oq9FNpFOOASZjjvXzoYouFuSKxOrEHSXuNeED2ggyAAGwngxckjVwMcipxY6qQpiAcfs6kfwN1jJC+ijmxtpz3CVubd16dSep6ixggxzT/iuOnFGh/Qc8dwmLtkXny7qv7fnhhvDpg71m+mT3IJQfYk4uC5FS9HFx5KZRXaPu8bhkTIB9MP1cDigw901gAUZzVXbWtUNDN6DnSeT6wKbpsR8CG2f9rhX4Nsgr/sVXecx9c+6o5KrkMSlJnSEq+fWSwtOkOC/xSmKRu7friY27xQI2YbGUEc3tzTs76pwE/BRYL9/cNacpZWbBWH7oesC7rL1BfwJkzxIGVAr2xNjFfp/8n3n/Ay7FaFR8szxN2xRfgGkmuA6CfKCi8cSqxPkVnJB7nrDMfXPuqO5V3f+m5/9jSh3dMzIu8rehXn/OyjkTkp3JH6noYYIU6pkC8IGitzpJ5yYfPqN2BqbQf4H+eZhSqSpHR2FK407JGnwG2B2kSk+cikdaR/d9RfvjWrdcRC6oram9fMqYKav9iM8yvLAJi6WkDPADca02JZi4oRSuJZWJvghsl37wMkihxofVQEZIP53cOpAMy4CLMRaxvn3RtrS1fD5F6gJyd6lPATfWpGrOKodGpqoq8fb4dcD14Ybw/QN8ui99WOLt8f1Utbdu5d+j3xu9a7Hsy111ndrltV8VlUMVPUSQwk1p0y5jTsC5wePmfOOAX2BOp/M5QHUBt2Ocxf7pYTxlgl5Mz6TlWJBrShRMRZLVjLJQUvwWymWJVGKeO8H9yKfwLMMAm7BYSoLb7m5UR93RqnoGORrgZfER8Pvq1qZ4ib7G2i7afwfZo5TReMz6GDel/ryunsCUyNyGD0L6DLEVsY3ppimfTbGi/wwQOLWpoalsbiZjrbGTkTXlhYuCI4K/mDJmynv9fLpvne5jbbEbgCOzx0QlHGoMxYu9ltvu1tVq7XeAnwnyDQp9pyqdCPcJcr3HQv2MQP8sYOsCc4eBQF83BN7CNOgEuA9k/xIGVLHMWj6rviZV0x/XundQLqGGCz1O0i3DBJuwWHxlQGVfKs+oowuqz+nLT3Qs0M7a9/o1IMeWLh7P2BKzs3waPWvWe5MR0keBIZcJDQT3YbcmOC54PMpscgtaVyJMDY0LLRSRsrl5nL1s9piAE3gecyOc4eXEisSO/axb9y1hOfe/527aNaLrBWCzrOGEg/OlpoYmz5qopv+PDsfsQPenL1R7itT1Uiu/j2wd8aoEMSPQnwp8ocDc/2BOGq8DKsF5boDoE8D/pR+8BlIokbPkIa01/QXGvGSLPFM/VPQSklwQmRB526fwLFWITVgsnrNQFwZa21oPQjgd+EaB6V0Itzo485vqm/7uR3zVjUaBcNbAISB/LFU0HrATptTjKPIL6T/BuKudB7zsQ1w9aG5t3scRZx65hdurUeYnOhKzyzE579VtGgAR+VWoPnRhPy/hW8ICa6yJr+41/EioPvRtrxPBdJnrnilShwkyifyvS1S1S0Tu9eHUpb9arrcwfU3mA/09QasA9G5Ml3eAD0DybWxY+sm8lfNGdnZ1Hp/u57JNnqmrUK5wRjhzmrZpet2v+CzVg01YLJ7hLnHXD64XPAJlClBIN/E/lKuTmrxkxvgZtltzUdBtMbammRuml4AvglSDk0tZC+kzpHUqs4BD80wr6y718bb4UYpe22v4H431jV8/TA7rbymdrwkLQLQter8g+2aPqegxkfpI73+LZ8Rb4xumJHWgiByDFjzhAGFZSlO/91jr8iVM76HDyW8V/wnwO4wtstdWzT6gz2LMCQCWghTqvWQZAAueWjDi/dHv/0TRMGs1k33RCVyTclLu9HHT3/ApPEsVYBMWS9FpbmvewlHnJIRfkt/LfU3ZV7AmeL11Fikmuh6moeQumQFgP5AHShfTkBmB6cczFfhqgblLMXbOvgrpM8xbOW90ojMxLZ9OBXgpfUrxZz9jGwhzl83dvNvpfoGe7+OEBnSXyNhIgT5APfA9YYm1x8ahPE/POvt3a1I1O5TCxCDeFv+Soocqeqgg+QTxKJoQ5M+CXB9qCD3qUUhbYcT5p5NfoJ8po5yNaVZbgeg2mNLYTNPduzCnX5YikzHSSZH6tSC75pn6KXBVilR0esP0t/yKz1K52ITFUjSa25p3cnD6U57TCdyBcnm4MbzYn+iGEyqY8qfDswbngZxZooCGygbAcRjb1nwlB1BiAbG7xK2trav9pYjMILeW5h2UsxOvJC4v974FsfbYTSg/6TU8I9wQbh7gpXxPWABirbEwQrTX8A3hhvDPvF47F+7r7np1nXUHqerR6Jod/5wo+h8H57qO1R23eVQumHl/nQmMKTC3DAT6GgAZgEmGBjDGGtkljZNBLi9yYJZexFpjExFmAbvnmfZJWpzfYsX5lnzYhMUyJNJWp/sqepYgE8n/mnoHuDTlpC61R8FeohdixOcZHga+C1JpPTwGKqRvBkqme4q1xiYCFyLskGNKF3D1iK4R08/6/Fnv+BjaoIgvj++vKb2n1/C/Rr83+quDsAguScLiPuzWBMcG/wl8OXtcVA4INYbu9nr9QsTb4l9S1aNV9KBC9sgq+jHKLclk8nczJ8wcQPPYflMhJ5j6OPBH4AaQAjvzWo8xEvhe1uArwA4gn3oVoaUnaQ3fr4Fv5pn2viDzpFMubNqu6WO/YrNUDjZhsQyKhbow0La87VBVDVO4A/TLCOcHa4LX2rIvr1lHZP8PYF+QSvoCqKga++iK6A6SlPPI3U8F4C5SnBEeH17mV1xDwX3dXS/YEfwPxWvCWJKEBSDWGvsqwt+AQNbwisTqxBfKxeCg5aWWDZK1yYP6qXVRRR8Drn/2qWfvXnTYIi8suctYoK+tmNdlCvP59gzwIvAhkMA42dVjdvX3ouffPQEcAGJP9ktAS1vLvilSvyH/ics7wJzgiODF9n7Bko1NWCwDIktYF6GwkP4J4MLG+sbbBiDOtQwadYGzswb+A+wFUilOP2V8k7QuafvcmRiXskCOac8iTAnXhx/xL7KhE2+Ln6folOwxUbkg1Bg6Y5CXLFnCAhBri/U+dQSYG24IT/Mrhv6S1rr8TNEfCTIy31xFlyt6Q5d0Xe/Wux94EE4ZuvCtSVgGynvAUSAlP1kb7qRLxaLkP8l7FWFW47jGq+z9gwVswmLpJ/OXzg9+WvPp0SgzyF/nnALuUUejg9yJtQwKnYapLc/wIiZZKXmH9AJk+kScBXyxwNyXgd8CCyhhn4h5K+eNTHQnTkOJ0LMvSTZvILiV+GWbvmF+ip7drF9JrE7sOIQTiSIlLCqYhqCbAyOBD4BXQfI6wM19c+6o5Krkf9SUCGXoTjmp3aaPm/7MwOPwHnep+5naQO0PBDme/K5LIHyC8kcH5wqPes2UUXmmhoBDMIYiuTYKsvkQuBE4pwI+D4cVsdbYREFaVHSXnJOUFxRtijRG7vIxNEsZYhMWS15aXmrZQIN6nKo2YVxlcvExcHWS5LwZDTOqwAKzktDTMB3bM7yMSVbKWSeU6cRdIULfNXqtHwnS0uvGNxvTTyWViLoT3I98DbAIpJtb/h3lK9njiv4g0hD50xAuPYSERbfFCKb3A75G30niMuAO4FKQPvUduTQ5iRWJXcva/ECR6PLoN0XleGAia52u+p4Nj6BcmWhIPOSKmypyNAM1wLgQI3j3IGnX0cDeGKviekyjUAejqfkQs2nzLPAIiC0tKlNUVVraWw5QdBamHDgXi1OSmjq9fvpzfsVmKS9swmLpk3S5y68EOUXRfJaXbwMXJiRxiUclCZa86PEY4WvmvbwC+BZIuSaNY4GTMHaq/bFSnQX804e48pLWQczDlK31hQK3IkwL14eX+xdZcYm1xaYCc3oN3xJuCB/e1/wBMIiERXfFCKZ3G8A6nZjXTBRknZv1WFtsIb164qjqmZHGyLwBrFEyZrfNHhvQwLEIRwAb5p0stInK76RTfu+BiNnBlG7OwCSR+ViG+TuWxGLcUhks1IWBZe3LjhBkFuZ7oi9SKNc5KWdm04SmV/2Mz1J6bMJi6UHLSy0bpIKpk1HC5P9CfAvh/JqRNRdP3XKqdVspCXoccAVrd1xfwZyslGMDwp0xu7I/oWepUW8+Bq7G1MK/4kNceWlZ2rJ1KpCKAj8l9+flk5rSMyLjI0/4GFrRmd02e2yAwPPA+lnDHzo1zg5F6Ew9mITlWIypQm8SmI2STzD9YTbrY85VwAnQs6v9nPY5WyY1+QI9y5pWIexYSYnm/KXzgx8HPv6BICcLkv//0ZSL3ezUOL/1qMN4RTRxtVQGbrtbF9TgqRjzmFzlh6sRLnASTsw6ig0fbMJiAdZ0pT9FVEL5TlQEaUe4sIOOBW69WzIdgUWPwdyUZZKVVzEnK20lC6lvMjczBxSY9yZGm3IhUHIvfnep+5lgTTCE8iuMVqIvVohIqGlc0y0iUrJStWIRa4vdybp/pxPCDeEri3D5oSYs7cB1wP3AkyBZtsq6I+Y11ru3ys9B1kl4Yu2xE1EW9FyKP4Ybw4cU/meUH9H26G6icjzC99A8mwFCF8q9AQlcMq1+mhdlNdtiBPonkl+gnwAWYnQuXuhtLFVAbEVsY7ppQjid3K+nNwQJNdU3XV8Nn8GW/NiEZZgz9825o7pXd/9SVacJMjrP1OcFmduxouOmsq73HhbojzEi0ozg9C3MycpLJQupJxkh/TRgxwJz/43p53AdJRTSZ0hrOI5D+Q2wRY5pn6KcG6wNtlSL7Wa8Lf5TRa/vNfxoqD60V5FuBAabsEwGfgPc2/u0pI/5pwMXZA28AYzp3WQwrUX6C/CNXuOTKlnYmz49+hnwc/IL48GUWV4Urg8/gBRdF7YFpuzzVCDfd0qm7DMG/LXIMViqhNnLZo8JOIEZwPHk1m89JsipoYbQv3wMzeIzNmEZpqT7LJyCuancNM/UJxWdHa4P32l3MMoBPRRjH5rZSf0fsDfIC6WLaQ0ZIf1ZwNYF5paFkD6btNXm+ZCzD0YKuDEggWnT6qe96WNonhJ9NbqJdMoLGOetDAnHcb7cNK7pxSItM5iEZYOB9w/SPwPfyRrYE2SdUr340viOGtBn6dnn55Wa9Wp2qPQS13kr543s6Or4EXCCIHmt51V0iahc2v5e++2X73r5QJuBFmJ9TPJ0Brk1CRmextiU34gnAn1LpdPS2rKronNUdO8cU1LAjSO6RkyphMa8loFjE5ZhhrvEra1br+6kdMPHXDvIAM8KcnaoIXSnX7FZCqHjMB2ms8s+ngEG2vX6J713nYfIOIzl6S/Ir3vqAm4H5gJPFnH9IZEW1M8FvpVrjqg8nHSSU6rRoSbWFrsGOLrX8K/DDeFZRVzGpz4seiRwQ9bAiSBX9DUz1habg+nqvvbZaDTSEJle/LhKQ7Q9uhspThWRieT5vlf0f4Jcl5DEFR6Yp2QE+hHyNwwE81l2EUabt6rIcViqgHhbfJKi5wETckx5W9FwZ33n1R645FlKiE1YhhHpN/o8YHzOScoLCG6oPnSrPVEpN/QLmGaQQ6W2pwZg0HwZs3vaXyH9ucDKIqxbFGIrYg0kiQKHkfuz8EVBmqo1cY+1x/ZCeYie//6XRiVH7XzahNMSRVzKr4RlD3qWFzWB9HY9A9acMi/BJNwZOh3H2bmIJ0tlQXxpfMdUIHWSiByE9jhV6klaoJ8ckbx0xpgZr3kQSn8F+m9j9EsXYkr7LJY1zF86P7gqsOrMdAPrUX3NUfSfovLLcGO4bDbHLEPDJizDgLQo81xyW7ICvCRIrKG+4cZKa3Q3fCiLhEWAfYDTKSykfwNjZXoBpsFfWdBPMec7IjK7Y3nHJdWq2Zq3ct7IRFfi3/TcwEhpSr/pgeOZXwnLgZh+LBmOA7k61+zY8tjBpLit13AxtTtlRcurLVt3d3af6IhzJNrDDa4nQpeq3p7U5IUzG2cu9SCUCcAvgRPIbWoBawX6UcxrxmJZQ8srLZ9Ndafi5HZxVOAKp9M5y7qJVT42Yalioq3RbUVkNvAjcv+tlyPEEssTv6vWG7PqQUdj/pZD5cq+elQUICOkbwJ2KDD3X8A84GZMGVhZsOCpBSPe2+S9Y1Fm07cVLsAqlIsqtfHjQIi1x6Jp+/I1qOilkfrIyR4s51fCMg9z6pdhV5Cn8z0j1hb7EzApe0yQn4UaQjfkeErF4y5x168bWfeTFKmTBflsnqkpVX3QEWeuR4LmzYGTMcnLJvniwAj04xj9m8WyhvRJ8XzgizmmLBeRX4TqQ3/2My5LcbEJSxUyd9nczbucrl8LciLkOP5XXkNwEysS19hExZKHDYFjMLX+nyswt+yE9LC2Q72KxkSlMce0FPCHJMmpMxpmlGvTzaKR3sz4NxDMGn4jIYkdPGoA60PCohthmhRmbnyXAw2F3MXirfFtVPQFepaWvEWA7cNjwyW32PaSBbpgxDvt7xzcn34uij5a49TEpo2b9owHoYwCjgTOxNgj58MK9C3r4D7s1tSNqztFVc8ht5Zy0YiuESdbUX5lYhOWKsJd4tYG1wuegRLBODb1xceCzOmo65jnfta1okZLLuqBX2FcfvqsEU7TCdyC6Y7+vA9xDYiW9pbdU5o6F/h6nmmLU5KaWo2C+r5IJ3APAXv1Gv9hpDHSuzyqWPiRsFyOKTHKkLccLJt4WzyiaHOv4d+GG8KnFC28Mqe/An3gnxKQltDY0OMehJER6IeBPQrMbcMkLlagb1lD2t57LqZMrC/eAk4NN4QX+RiWpQjYhKVKaF7evLejzkVozr4X3cDvAhI4u5osWS1FZxdMolJISP8RcA3G8etV78MaGC1tLZ9PkZoFHJpzkvKCok2V3HtjMMTb4kcpem2v4fvCDeH9PVzW44RFD8fYfWe+0/4KfLO/bnjuErc2ODL4XK+YUo44X2+qb/p78eIsf5rbmncSkV+Jyv7k7nsByhNao+dFxhZd75RhT+A04BDW9pzqi3cwTXTnA697FIulwoi1x76Lchm5LbXvcpLOSU0Tmsru+8vSNzZhqXBmr5z9uUBXIMa6XZ6zWSwqU0KNoWIIti3VR2ZX8zRgYoG5y4HLMF3py0ZInyH6anQTSchUhDMwupt1UV7D4TeN4xqvGm4GE/HW+IYq+iKwVdbwagJ8ITw23Obh0h4mLLor8BdgvfTAB8CXQZYP5Crxtvg3FX2E7O9F4enGcY27DbfXCZikP0nyVBE5GM27efEkMN+jJpRgTCFOpf8C/RhQVS5vlsHhLnHXrx1ZGxXkFPpIvgX5QFV/GW4M31iC8CwDxCYsFcqCpxaMeH+T909W1VnABn3NUfQpEZkarg8/4m90lgohCPwYCFH45vFZjNvXTZjTurLCfd1dL5gInpoWkeeqX/4U5eJER2K2u6P7iZ/xlQvR1uhlIjK5x6ASCTeGYx4v7VHCojsCj7C2+W0nMAnk/sFcLdYWu551S0lODTeELx50iBVOWuNzIsrRSI5NAEwTSlW9rKu+61aP+l9sBpyS/snX7Dgj0L8QWOxBHJYKI7o8uock5Uokp2HMIgJMrnbNWqVjE5YKJH3UOZ/cjZPeEGRaU33TjdVozWkZMptitCmnAfkcghR4EFNqUZZ9SFx1nWB78IcYDc24HNNsOSRrGmT+nZ47jS+PSo7aqcg9V/rCg4RFJ2BOVjKnRUngCJCFg71ic1vzFg7Oi8DGWcMfOTXO9k3bNA3rcqN4a3yblKROFZXD8yUuwAuqel6kIXK3RycumY2WMLBdgbnPYBKXstxosfhH2iVyCspv6Pv0/ZW0O+Cjfsdm6R82Yakg0l+mlwA/zDGlW1Qu7kh1nF3tlqyWQdGA6Z9yPGvLZ/oiI6RvAZb4ENegiLXGJorIXEV3zjNtcSqVOmP6+OllZwjgJwt1YaC1vfVJTLPPtaTYJzw+/JAPIRQ5YdFtgEdZW5+uwAkgVw3+moZYa+xkhEt6DAo3h+vDRwz12tVAdGl0MyfgTE6ROl6QfCVaLyl6XqQ+cqdHiUumlLWJ/KYaAO2YxOVK4FMPYrFUCM1tzTs5OFcCX+3j10lFY50rOs+x7qnlh01YKoRYW+xQ4LfkPgp/VFR+aXUqlj74CiZROYL84tWMkH4O4EWX66IQXRHdQZLSQv7GlU+q6NRIfeQvfsVVzsTb46er6gW9hq8PN4SP8imEIiYsug3mZGVcZgA4CWTB4MNbS/rU7glg957Lsm+4MWxLjNJEX41uIp1yHHAiuV0pUfQZQc4PN4QHVabXT/r7GfchcC1l/hln8Rb3YbcmuE1wBsIM+n69PBnQwJHTGqd50TTVMkhswlLmzGmfs2UylfwtwsE5prwhSKipvul6W/5lyaLqdh9nt80eGyBwDsZgIpd7URtCJDQutNC+Hwxpm8+X6Knt+TDlpLafPm76Gz6FUaSERT+LSVbGZwaA00EuGmJ8PYgti30Fh3/Q82ZmaUISO7n1bkcx16p0YitiG5PkeMzJ7UZ5pv5TAxr30FUMoBFT6loVp8gWb4m3xvdU0Rvo20nsYxU9NVIf6e2oaCkRNmEpY2LtsWNQ5tGznjpDFzDf6XTOadqu6WOfQ7OUL1VX3z1v5bzRic7ENITTgboc095HaEmQuNDeUPYk1hb7PeY1sRbhpHB9+DIfwyhCwqKbAw9DD+FsCKRlqMH1RawtdhGmA3s2vw43hGd5sV6lE2+Nb5iS1AmCTCbfiYvoQ5rUZo/LNDcDjsOcumyVZ17Z6/Qs3uIudT8TDAQvJrfT6vXBEcHJU8ZMWe1nXJZ1sQlLGdK8vHkrJ+VcCvwgx5T/OOoc19TY9JSfcVnKmqpz0Mk4f4lKSE0X877oAq7WpM6ITIi87Wd8lUBLW8u+KVI9SnEUfWp8/fjdfbbqHWLCopthkpXsPlPTQaLFCK4v0jcyL9LTmCKhqjtFGiMve7VupXN++/kbdWjHCSo6WVT6dLDEJAp3IjSH68PLPQynapwQLd6SLrtfQF8bxMLTSU3+cEbDjBW+B2ZZg01Yyox4e/xwVb2Mvq1ZO0WkeeN3N45N3nVyl9+xWcqS/pZAZHoUxIEXfIhr0LgPuzXBccHjUM4mt4uZquotyUAyMnPczHY/46sU5i+dH/w08Om/gM9nDSdTTupr08dNf8bncIaQsOimwEPAF7MGfw3i+UlHvDV+hIr27tFwf7ghvJ/Xa1c681bOG93Z1XmyoieQ62RU6EL5vSa1xeMNh8H0mroMo3mxDBPSZcfXA9/o49dvk+Jwn0xKLH1gE5YywW1364IabMF8oPbFv1JO6rgS3GhYypP+doHOiExbqIAu0LHW2ESEefS8Oe3NYlKEwuPDT/sVVyUSa4+djeL2Gp4fbgifXoJwBpmw6EaYk8CvZA2eCzK1mMHlI94WX6zoPj2iQg+NNERu9SuGSubc18/dtLuj+xcpUicKEswxbZUgV0mnXOhDiXNGoP8TyNsQM2NCMhew3dCHCe7Dbk3tuNpZotLEuvfIXcCU4dyXqZTYhKUMiLZHtxOVW4Cd+vh1F8q80e+PnmlPVYY9mV3CMLBHgbltmLrsK4BVHsc1ZKLLo3tISlroe2fLICxBOSfcEF7kX2SVSWxZbDwO/6HnzvabCUls79a7H5QgpEEkLLoh8AA97UfngZxZ7ODyMad1zoSkJP9Nz//LN0Rl+1BjyO7A95PZy2aPCTiBEGaTpU/TDEX/B8x59qlnb1p02CKvSxYzNu8/B0blmZcR6M8BhrU9+nAi3hafpOj19FHtoqI3dQY7T3A/65b9d2s1YROWEhNtjR4rIhfTRzmPov8kwLGRsZGyLuGxeM4o4EhgCj3Le/riaUyiUhF12GmLYhc4NM+0VxCaG8c1XuWz7qJiibXH7kb5Xo9B4fBwffiWEoU0mISlBZiWNZAEnhvguneDnD3A56xDrC32G2Bm9pgg80INIV+Tp2og2hrdVkSmAgfmmqOqSwVxfbKR3hA4BvNay9dIF+AJzGn1XeBJbxlLGZH+fvojsO06vxSeTklqko9Oi8Mem7CUiJaXWjZI1aZ+C/y0j18rcFFidWKqu6Pb6XNolvJhc+BkjFPRJnnmVYyQPkN6t3UGZnczV0nbuwhzR3WPusCHTuxVQ7wtfpiiPRITRR+INES+U6qYGFzCMg84Y4jrXgdy9BCvwbyV80Z2dHf8R1Qas4a7RWUX2/tqcMRaY19FmAnslmuOoo8GCMxoamj6rw8h1QKHY6zgdygw9zngfOBmTJmQpUppeallAw3qNap6SB+/Xq6i+0fqIy/5HtgwxCYsJWDO0jmNyUDyLvq2nX1bHDk6NC50r99xWcqG8cCpwAlAvk7SGSF9DHjRh7iGTD8tij9FuViQmC25GRgtL7VskBqRehHhc1nDCQfnSz7d9OWiohMWgGhr9HsicnePQeGhcH14nxxPsfSDWFvsOwjnoDT0OSEjzK/VWGTryLs+hCTAPphysXzNaQHeAC7HuIuVotTS4gOqKi3LW2aq6tmsW874rjo6KTIu8rdSxDacsAmLz6Rr9W/H7J735i/JEckjZ4yZYTvwDk/6K6R/G/gd5kSlIo6jB2JRHJDA2dPqp73pZ3zVQqw1dkE6GVyLck64MeyWJqI1DCZh2RbYZojrvgFStMaAsbbYHaxbynSY1VUNjROfOnFE/ej6o4Gz6LvvGIp+IMjcxIrENe7erl/lrrsAv6KwQP928sweAAAgAElEQVRj4GrgXGClD3FZSkC8Nf59Fb2JdfsMrVL0J5GGyJ9KEddwwSYsPhJrj/0Y5RrW3VlWlDmNDY3TbY3+sCMjpI8AuxeY2wpcRIUI6QFcdZ269rqfKhojj0UxcGtAA9OnNU5b6mN4VUW8Nf5FFX2GnjdWyxKS+GIZNNMsUqf70hJvjW+joi/SU3P4amJ1Ynt3R/eTUsVVLbjt7kZ1WvdLVZ2MUJtj2lJBIqGG0KM+hlaPSVwKCfS7gNsxzmJP+hCXxWea25t3dtS5h3UbkiYFOS7UELquFHENB2zC4gOqKvH2+DnADNb9P3875aR+PH3c9IdLEJqldKwPHAGcSV+Cvp5khPQ3YoTHFYG1KPYPV10n2B58nF7ucar6/Uhj5J4ShZVNVSQsALHWmIvQQ8ivaDTSEJleqpiqjdjLsQZqCJNfmP9AYERgWtM2TX7atX8GOBaYCj3KLvvCCvSrlHS/lvtYt6xfEU4O14cvK0Vc1Y5NWDwm3bztSvoW1y9V1QNs1+RhxRbASRiNyug88zJC+hjwVx/iKhr9sig29qC/saU0xSHeHp+cbji7BkUXRhoiPy5VTL2omoRl3sp5Izu7OpcoWp813Ong7FRinVDVEV0R/bqk5DcoX8gxZRXw29H1oy+YLL7a/mcE+tOAHQvM/RfwW0w/LGseUiXEVsQ2JsmfMKXc2aionBJqDF1airiqmZIkLLFlsa/gcDBmZ3krTL3+/4DXEJ50As79Pu+aeEK8Nb6hit7Fui9oFH2gUzoPK1FPBIv/TMC4fZ1IbrE5rBXSNwMVdfMzEIvixLjEla64KZ9Cq2qiS6ObSUD+S8/a/4+SI5I7lJEermoSFoDY8tjBpLit1/D94YbwfiUJqIpx1XVq22uPFGQ6ufUt/3UcJxQaF/J7c2cgAv03gQUY7eH7Hsdl8QH3dXe94OrgrQj79/pVCpgcbghfWYq4qhVfE5bm5c17O0nnYqSgZSCicnuoMXSwH3F5QXRpdDPHce5T0V36+PXliRWJU3wUDlpKx54Ym8zvk//99j/gUoxGxQ8nnKJhLYpLS6w9dhXKcdljIvKrUH3owlLF1AdVlbBA371uFP2BFd56g9vubhTU4FkIx6E5P2f+FBwRbJoyZsp7vgZn2BnTK6u/Av3zgFd8iMviIekqmj9gvuOzUeBEm7QUD18SFlWVeFv8fITT+rumIM+FGkJf9jg0T5jTPmfLpCbvZ93afUX5TRk49li8JSOkn06eHgNplgEXY6wxV3scV1GxFsWlJ9oe3U1U/kqW1aYgz3Ws6PhqmW2IVF/Csiw2HofngWDW8CuJusT2tgO2d6TNJWLAV/v6vaIfALMjDZHr/Y1sDeOAXwCTgVyOiLBWoH8u8E/vw7J4hbvEra2rq7tFRQ/q9asUwhElbNhbVXiesKiqxNpjFwlyStZwStEHUe4Dlgck8HFKU5squp2D8w0V3VOQJZWYsMRWxBokKYt71TcDJFT08Eh95PaSBGbxg/UxpwxTKGzH+gSmNOA2KkhID9aiuFxIl8r8TZCvZQ2rIHv57KDUH6ouYQGItkdjohLqMSi44frwOSUKaXigSHN786GicraIbJpjzhPdqe6pMyfMbPU5ugwZgf5ZwNYF5lqBfoWTJ2npQjgwXB++rySBVRGeJyx9iEGfJ8Ux+VyBokujm4kjE8ON4Zu9jq+YRNuj24nKA6z74fQpcEi4IXx/CcKyeM+WmB2108hRY50mI6SPAhXXZMp92K2pHVt7rCAueSyKVfWWmlTNjGkTppXqRmFYEGuPnYiyoNfwteGG8DGliKcAVZmwuK+76wU7gi8AY7OGV3c73TvOHDezvVRxDRfSZWIR4Ges29APYJWKzulc3nlFCU8cMwL9qZDTPCDDfzAn7tcBpbYitwwQd4lbGxwZXMS67nafqOjESH3kH6WIq1rwNGGZvXL25wJdgSXAhumhFzWp34pMiLzt5bqloLmteScH50Ggx26PIB+knNT3bBfUqmQn4BTgKPIL6T8BbsLULFecI1zalvtHmBvOfBbM1qLYJ9IONf8FNssa/ijlpLabPm56OTYTrcqEBSDeHj9cVXturil/DDeGDylRSMOO2W2zv+bgnCvI5/ucIDznqHNaGbi49VfT+BZwGcbOvhR6HMsgSSctdwLfyR4X5AP+n70zj3OrrPr497mZmUzLZhEEwdJOpgVkEVRQUPRlEV4XUF+VKogIohYXUCrtJJkiQTpJpoUKCGLrgmwuBRVREAUEARegrAIC7WRayiZIi1BoMzO55/3jZDo3TzJrlptk8v185tNPntzce6aT+9znnOec34FDw6HwQ/5YVvsUikiU7uQDTidDzoorRk6uR2ele033Wx2cP2I5K8ALGZM5rOGs1B2HAL8DHmRk1a8XgHPQnOa51KCzkuhJfCC5Jnkvqlw2nLPyCNrt+8iGs1IZxJUucp0VxMjZVeqs1DXhtvAvjJjcPlqG/0v2JhuKYRViYWjhPWvWrznCxV0kSL6oh7B/hszNXamu045dcexwBfuV4C7gGODtwJVo6mwhdgLOBtaiqcMzhjmuQZUR2zvWl86kjzVi7veOC/IGQX6/aN2i0fr3NBiGsu2wLHl+yVYDrw88Q9ZhqXXVr+HoXtP9Vtd1/4ymBXl5znXdozpndT7ih10NSk4z8HF0W79gsaeHVcAl1GAh/SDdvd0HiStxMXLYCIetxRBvSBRXlsSaxNtxuRevIpvw2PYbtt9/7gEV7UUxHup2hwW2SHo/iM4Tgzy+/frt31bFf5O6JNGbmCkiSwzm/QUPEO5DOD0yK7K6wqYVYjCd+BuMXKA/mE68CGikFdUA5z1x3g79zf13kt9c8oH0pvT7Y3vHNvphVy1Tth2WzGuZjzG0u4Jr3MvKdS2/6FrdtY/run8h31lZg+E9DWelLtgGfZj0oLsMIzkrf0VzV/dAo2I156wkU8n9EqnE711x/z6Cs/Jv4LT0pvTukbbI8oazUjlExOByAZZ8tBtwv95YGPtHdEb0MQwXW8N7vvTGl75W8AMNykakLbIm2had44p7BpDf58zwTnHklngq/qWYxMqaZTIGngdiqEjLN4F1wxznoH1e/sHQLk2j8XcVc+YeZ/7HyThHortkXt4enBr85QpZ4edOX01StptVjLzX8zIT6AvkbJlftOqi4KLUohmL1i3a9aJVFwWpMeK98T0dx7kZKy0DeIoAR0TaImt8MKtB6dgZfZCsBS4Apg9znIsquxzMUKpYzam8JHoTMxOpxDJB7iNfT36QjQjd6Ux690gocnFs71hfJW1sAIk1iROB3Mix4eedMztvK/yJBpUiPZCOoQvQLRgx5yzuXWwHtBqUG4N0tnf+zN3sHorh1vy3zRSDWdSSavlV99Pdoyl4VYJX0SBXOzAHuHeEY98LXI82Fv4GMKXs1jWYEB2zO552Xfdo4JWcN4QPp1Kp8/yxqnYpm4ceT8XvNZgDsi8fjoQi+y1buax5w/YbvixGTkZ4p+fwjCD3GTHXpd30JbHZsVcKnbNa6E517+Hi3gG8yXpr7YAzcFhDHaam2Q/4Fqrq0jzCcRuBnwBLyY+g1AxZYYwFaI3NcIGD14EfNblNXfNnzX+hctY18NL9ePc2bov7BPBmz/DrRsxbw+3ham9AV9cpYYPEU/EvGcxy75iILIu2R0/1y6YGEE/FP2owSyiQdiVGXjXGzI/MjPzGB9NGYrxNhxsF+lVKsjf5vyLye6yGogbz9XAofIlPZtUcZXNYEqnEq2hfChB+EyDQkTGZX6LFZiPxEoYTqlWzuntV91vcgHsX+UVw6whwaGRGJOWHXQ2KZlKpt3iaPp7O8BG6fuAyp8k5p2O3jmcraF6DAiR6E0sRzsgZNIQjbZFun0waD5PCYcn2xrnbE6wDcHF5V0OQwl+6n+5+i9vnXgC8r9D7glzT19q3oAqbfk4KNcp6J9GbOBXhUmt4AOFDkfbILb4YVWOUxWFZtnJZ8/rt129JFzGYawU5AFVLAk2ZeRx4EcMbEd5KbnpaRpDPREPRa8th30SJr4rvaALmDvKLqNYFMoHDGn0nao5BffwzgX1HObYu9PGXPL9kq4FNA18fpemjC/wKl2iVFKZOeoYp6l61VWarfU+ffXq+KlL1MSkcFoDk6uR7xJG7yH2+/jXcFn6fMabm0kXrCsHEe+MnAOcYzFYFjlhlMmZueHb40UqbNgYmRb+veqZQ0EmQ9SZgDmwEu0enLDUsL233Us5CSJBPMuSs/DJDpi0SiuwVCUX+J9IW2cd13Ldg+InnIwGDuSyxOjGrHPZNhMTaxDQTMLeQ76w823BWao5tGSqkv5yRnZXBQvr9UNWvmnRWYo/GWhK9iS8PvD6wGiE5grNyCw4HREKROQ1npXpwBpyLsVIUjTGn1YizMqkIzwr/TUR+aQ2/t7u3+1hfDGowhEGioeiVZsB8QJBC/TBmuwH3D/Ge+MkVt210Bgv0Z6AF+sOlgQ4W6P8NLdA/Fkuko4E/pGemzzRirvOOGcz2ZPh17NnYVL/sqhXKssOSTZsqpHaxPNwWPnW4KFOyJ9ktRhZ4hq6IhCKfL4eN4yHbzfiPaNrQFgzm5YzJHNbZ1vmgT6Y1GB8zgK+g9RojSUhmgD8A5wL3VMCushGTmBPsDX4SSAKhYQ80/M2IiYRD4TsqZlyDMZFMJecIuQtgY8yvw23hT/pl0wSYNDsssOUZ+DjgjeKvS7em96zClKNJyTJZ1vxS6qWFxpi5FF4LXd80temb83ee/1qlbRsjDprC3Am8e5RjV6MZAjUrtV8vxB6NbR2cEvw7sI/11tWRUOQEP2yqFcqyw7KpaVMhfenng83Bb460JT5tw7SF6I01yHGxVbFtS27gOFi2cllzy+aW67CcFeBVETmq4azUBPujqVyr0TqV4ZyVV9HalBAqG1mzzoqImGQqeUywN/ggKsc8nLPyT2BOpC3y3oazUn0sXbd0iiB2jcqmftN/pi8GNRgTHbM7nsawxBqe3ppubfzdqoS5Zm5/tD16tsHMQWsTbT46sGngT4vXLZ5dadvGiIuqUh6E1uX8nuEVKmehapdr0F2aN5bfvAaFiO0d24jhGOAl663PJnoSZxT6TAOlPLLGa8hzWAzmqnnT543o2c89YG4/kpMa1tzqtBYskKsEImLWT1u/3GCOtN7ahOGjkfbISNKDDfzFAB9AJ/QHgM9hKXR4eB7tSD8DTRWrdsWlERnsTi/I9Qyf7vY4MCfcFt4vEopcU0HzGoyDvv6+bzGUTqsYuhtKhNVPsCm4GF0gbkFEwotSixpdy6uIcCh8R3Nr8+GF5I8RZmUGMjfFe+If9sG08TDYm2UPNOg2XOrym4CzgWfQIN4eFbGuQQ6RtsgaETkRdTqHMCxO9CYO9cWoGqAsDkvssNgAGq3egjjyt7F81j5OjOxVQtPGRaI38R0MJ1nD/SIyJ9IWud0Hk8bD1qi6yMHAkWge6wfRSMzbqd8ISwuqpvJP4GY0l3c4HkbTw9rQqNOGchtXTrp7uw9K9CZuxXCzJRvuZR2Guem16X0jocg1jSLg6mXRukW7ChK2hp9umtJUK/r9Bm2I907yd/ha0XrAlkobVSnmTZ+3CYP995sSMIGELwY1GJYzdznzP+mZ6RPESBeGgZw3ha2NMT9OpBLzq6DR5GisQoNuM9Eg3HBKlkE0iPcYGtR7TyWM84kpaPrVQWgQ81PAh9F+Vu8kvz1FRYi2R28Evm0NNyH8omtN15sLfWayU6k+LDjGObijreMfo31ucc/i2RmTGZLkE7oj7RF70i87hfT0ATGYk8Kh8BWVtmcUpqLNpA4D3oVGTcbSDOsltPnU/cBtwF/I36asFbYFTgbmA7uOcuxfgW5G3kKvGbIKUjF0Ih7unv4PhvPSpC+MtcVqUjhgshHvjV9txByfM2j4TKQtYhd0VwttwOHA/6ALhN3JreEoxADQC/wLvS9vQ+ejTPnMrCyJVOJ29P9kCwbzP36nYK6QFYGnn356u1deeWVjownsEPFU/H3AcoPZ3n5PRG7uc/u+Wu294jxsDRyPKmGOltp2H7o7czW1e/8FUcfkMNQJ2x0Nmoy21n0ZlYJ+ALgdnYcKpQmWFBExyd7kL9GA8haMmNtCodCRc8ycWv07lIVy9mH5KbClYH6sDktidWIWDqsGXxsxi8Pt4Y7yWFmY5Jrkh8SV68lv8tMZDoXjlbRlBFrRLeATgaMoTaTSBe4GrgR+SW30GZmJSj2eCmw3wnH9wHXAEkbuIlwzLEotmhEgEAVOYXgVmI0Il6TddLyGHrKTnvia+MHGNX/FO0cb/haeGT6kynbF2tFI7WfRPPlSsAH4NZqycic1HlTo6u3a3xFnJbn36APptvQBMRNzh/tcOeju7T5IRL4IHC5Im+etFw3mL65xr47MjPy2yr5jFaf78e5dMi2ZnxhMob5xTzotznEdb+l4uuKGTZzBAv0ouqAfiR7ge8AP0abB1U4zmj1yIvo7DtdXbLzcD1yF9rYpm/OSbQi8EnWuhjDEIm2Rc8p13VqkbNubBpOzKBRkpzF9zpidva9d475YSrtGo6u3a39xZQWWsyIiy6rEWdkJ3R14Fi2mPprSpVU4aArZ97PnvxLYu0TnLjVvRxc0q9BC+uGclcFC+nZgDnXgrMRXxXdM9CSSAQJPAF+msLPSByxvcpvaI+2RcMNZqR1iEnNwuYDcgJLruM43qmgh+b9oFHIVmhNfSgn6aagT/hdUKOPrlG4RUnGywiw/tobf3tLbUjHp3Niq2LaJVOJaV9y/C3KK5awA7CjIp4yY33Snum+d7HU2HXt2PNvX1vdREflZgbd3d/vcG5Op5H4VN2ziDBboH8zoBfrtDBXoJ4FqTU/aHp17ngauRzMMSjlPvANYmj3/r2DYNOui6Niz41Uj5lPY6m3Ct7tT3Xb99KSmbA7LQPPAdXhuCEFGk93T44x1nPBYaS0bnq5U106OOL9Ft1G93ND3VN/XK2XHMOyARj16gQWM3DiqFASBE9A6j1+T33/GD7yF9PczciH9c2gO725oTm8hme2aYum6pdsnehJJEzBrMXSgfyObfmB5pjkTioQic+fPmv9Chc1sUCTBVPAkg3mXd8xgftzR3rHSL5s8fBBYCdwEHEoZd+mzhNB5LwXMw+pFUytIRhYazMveMYOJV0IFM7E2MS0YCP4VsGWwXwIeNphevM9qI4cFCNzZ/VT3LuW2rZqJmVhftD16hiBniki/9fZOglzXvbYmF5SDBfq7o8G84cSQdkSDgb1ocLAa1gCg6d9JhhTPyl2D0gR8Ap33/oA6MiUl3B7+J4ZvWsOOi3tlo55liLI+bBKpxJ0MyQE/ld6Unj1SrmxMYk5wTfBhZEtUvy+9Kf3G2N6xQjLJJSXWG2sNSvDPaARiC4KsbJ7afKiPWuwOGm1MohGFkXgRzb+8D83HfBL4D/AasBFNI9sKdX7a0FqXt6H5nnbEzaYPOB/tpVDpbeLBjvQdwGgiDA8C3wV+ji7ea54xdqcX4NqABDoXtC9YNcwxDaqcbHrAE+RGNV8JmMAeC9oWPO+XXcB0NOr6iVGOc4GH0N2Rx9A5aC3wX3S3cwCVFd8K7dy9O7oQOhitwxutedpjwNfQea6mSPQkzsCw1BruioQiC8t1zWyO/I2oowmAEXO/67jz+mb23TmYktb9VPcumYFM2GC+TnZdYMTcv/mpze/OiuhMahatXvQex3EuM5jc+dcwYMR0hEPhq3wyrRS8CfgqupM5khiPC9yIrkX+WgG7CnEcug4ZbRH/MjoH3cPQWugFdC30Khrs2wr9fWei89C+aBBmNOW0DHApcFb2OiWjUN2iIDf3tfV9sNLpo9VIWR2W7lT3kS7un7ZcbJR6lGRPMixGtiioGMwPw6Hwl8tpI2yZ1K9E87C9POXivqsz1Fn24qthmI4WwI0k7bwOzbNcgS4UJpoy0gb8H5oHOtJWdy86adw9weuMh+2Ak5iEhfSg3emDU4MnIZyDLu6G4xbXcTs6Z3beXynbGpSHRCqxGP2+b0FEvhVtj9oL3UpyMhqJtXeeB8kAt6AppH9g4rVvQTTA9Vl0N2C43QdBG+CdQQ01wVu2clnz+u3XP0JurvqmjJvZY+GshWXZAU6mksdk5c0HubtpatMRwwXgbKfKGHNquC28rBy21RqL1y2enRnI/Bxhet6bwgWR9kitq79thd578xh90V7pAv0dgZ+i6l7D8TwaqPwFat9E7doV+DiawTFSZtBz6HrplgleJ49sU8l7sJrqVsEzoCoo93Y+iVTi92ghFACCXNJn+hbG2mJbPNPYo7Gtg63BhRgWeGzaYMTsH24Pl70nRjKVjArSZQ1vcsR5v49pGEejN+hwEY+7gASamlFqz/sdaNrZsRROG+wHImh+Zzmcgzbgm+jO0kgqQ32oOMBi4JEy2OELY+5OD38XI5FoW/QvFTKtQRlZvGpxeyaQeZTcVL/VW2W22uf02aenfTBpa7Se7XPDvP8qsAzdeXmmxNeekr1uB8PfAw8Dn0Z7CtUEyd7kx0TkOmv4qkgoMtz/cVEkehO3Ihyefek6OHt1hDqeGO74bPDudlTyFeC57ddvP2PuAXPrYre6WJasXvKmgcDAlQj72++JyE+joWgYU/MBs8EC/QhWxkkBUqjjUs4C/fejhe/DBS3vQ9dCvwVKvRv4VnQt9FkKp6O6QBeafl4Sx60r1fU2B+duNCNmkLTBvDscCj9UimvUKuV3WNYmpjHAXZicVJ40Wvz8HOo5v4vcVIB+Efl4Vqe6rGQjUNeRuzB3xcgno21R+8FSKb6FqlkV+vs8gC7mKyGJuXvWjo8O8/7VaPS1VA+zd6L1JscxfG0KwCuoM7cELYirC7Ld6T+B4VysCIsXI+Z+caQz0ha5qYLmNSgziVTiejS3fAsi8pFKzIMF2BkNhhTabe1HnZQk5VcSbEJr6ZKo4IjNK+jO8J/LbEfJSKQSN6O1eIOIg3NQR6jjnlJeJ/ZsbGpwc3ADWVEWQW6OhqJHjfa5ZCo5R5At0tkOzlEdoY6bS2lbLZP9f12GqnPmIMgVfW19HXWUvnMIcDqaCjqcEiVo6vmPUefl2RJe/2R0N7XQeuBxdDfoDyW83nDMQB2T4ym8LrsBFfUpidMW742fbsRcmDMoPBZsCR4wWgP2eqbsTZAiMyIbMi2ZowzG20V2cOv/WDRn0Ous/FuMHFmJh3RidWIWWkyW+/8gLPTJWTHobsF55N8UG9GJ40Aq46yA5n1+DHVYCu10fRYtgB8uVWQsOOgi7Wa0qG2kQvo1QJihQvq6cVbia+IHJ3uTf8FwLcM7K2swzN0c2nxgw1mpL7p6uo7AdlaQm31yVmahKZaFnJW7UIW+BVRG9nwADU7sie722NHrbdG8+mOpEVzjzid3V9y4uBeISEkDiFM2TdkLj4Kkwdw5ls9lnEzOcRnJ2MX6k5rYLrHX7195/0nA5fZ7BnNiS29Ldw00mBwrd6EL8T0YuUB/B3Q3NIWuqUrR8LsDdYLs9UAa6ETnp0o4K6B1eCcAR6C962w+gqaGjVZnPCYiMyPfQ9PbhzDsle5PLy7F+WuVitxUC6cvfKajreNIhBPQP6q9dSbAQwjR9Kb0rEqkuCxdt3QKDisKFDFfEw6Fk+W+/jBciJW/nuUh4ABULcePRkK/A/ZHt1xt/heNLoxXTjCI5n8+gkoSfmCEYx9Ae/rMRutU/jvOa1UtyZ7kvolU4vfGNX9j+FqldYJ8Mb02PTvSFlleR9G7BkDstliTY5wLrOEBJ+Oc4YM5ITQgYqdhucB30ADToxW2CbS49WuoU/cf670gmrf+mUobNRE62zofRLCbDx+cTCVHEzQYFxKQHXMHxpa2F50RfR5Pao0xpp67oE+Ia+Zck4mEIgtE5Lv2ewZzYjAVvOTYFceOtCNRa/SgQcIZaPqTfQ8OEkSDjv9E1w0jPddH4ix0V9V24lejaWpxNCW80tyGZoIUah5+MLrTO1I/uDFhjJEmt+kUtC7Hy9eSqeQxhT4zGahYFMAYI5H2yNWRUOTIYHNwm4AEdhdH3mMyZp9gc3CHSCiyf6Q9kqiEIhhAuj99KRop9PJQsDn4eZ96HSwETiswfjXa6GnYvOMKsQFNvQiTH+V8P1rsNpYJelAqMYVGqIbbTRDUuf0oWlNzBaXPT/WNxNrEtEQqcaEYuR9PjZfFSxjCwebgHtFQ9McNtZ76JDgjeCraGX4LRszF4dnhSjsGOwF/JF+B5xVUZeps/O+AfQM6bz9ojTvofFITMrNOs9OJKhYNYVh80aqLCkmVTwg34+bOx87Yah2zzz/vsbvHbouNlKI7aYm2R5OCXJj3huET7zjwHUuR8qfdV5gXUSnht6BBxOHqxxy0DvdmtMbkREZO8/ZyKhocsbkBdRYeGLu5ZeE19HefS/6aZD80sNtqf2i8zJ81/wUMJ5O73jKC/HjJ6iXllnKuSurtZhoTyVTyNEEusoY3EOCAyIxIygeTPo+mPdh8F61nqbYivhOBH5FfhPZ9NApaiBAaofkiI0uXDhbSd+NPJLesxCTmtK5p/ZKILEK30QvxKobznbSztGPPjlcraV+DyhLrjb0hKMFV5H4XXkyb9O5eYZIK0Iqmf9jN0f4NfAj/Fwk22wHXoTs+Xl5F5ZH/WWmDxkuiJxHDcLY1fGYkFDm/FOdPrk6+Rxzxys8uiIQiS0b7XPY7ucE7JiJ7RNujT5bCrnqkK9V1moNTSJ76okgoYgv61BODBfod6H03Er1oFsmPsJ31IY5G72s7+Hk5unaotqDdMeh6xc4wWYEKghRNIpW4BJWd3oIRc124Pfx/pTh/LVEveZZjJt4bf7cg51nDLobjfXJW9kEX+jZJtKCs2pwV0N2O48iPtn6V/LSMwe3TJ9EanOGclf+iObIh1CGqO2elq7dr/5belrtF5AcUdhFhxDcAACAASURBVFb6gIub3KZZkbbIOQ1npf4JSnAh1nfBGHNWhZ0V0OCI7ay8iO6eVpuzAjpffIj8Yvtt0MVCMXV1FSHYEuzGamhrMAvPe+K84QIZ4yLjZHrIfX4cOJbPTZEpecc54pTEpnqlM9T5PeDcAm+dnkwlv1RpeyqIi6Z+HYKmrV/J8LuwbQwpCl5IvurXDNQxsZ2VH6HF99XmrID+7kejdTVe5lA4Y2bcBJuDZwL/8o6JkY8nehMlcYhqiUnlsCR7kts54vwcTyFilphPRcxboQ9XexH/IyBaeXPGxa+wvP4sy9ECvWPQiO1gIf1w6WK9qOrZrugOTKnlUX1n6bqlUxI9iaQjzr0Gc0ChYwRZEcgE9oqEIqc1utNPDhJrEyG0WZuXf21es/nHFTbl02gahpdX0Z4H1RxV34ymqdr9hwYL9KuaedPnbRKRnB0WQd7Q39x/VinOn+0f5k0l/kj86fhIjQEByJjMSfaYOFL1DqDfREKRi11x4/a4IN9J9iSHS/utJwZTv3ZHg4/DKWZthwYvBwv090azNX5BftH6b9C5qRoDt4P8GS3Itx21JeQHgcbNvOnzNrmOewK2GqtwyeLexSP1Z6s7JpXDIo5cKojd0f2GdFvary3bGPk1HLdRuht0CjCN8v2dl6NdZ71sg0Zkr2fkLeK70SjEbDTaMtwWcU2T7Ekeku5PP4yhg8I5vA+LkUOjoeinF8xe0FNp+xr4h3HNEnJ7rmCMOaPCtUo7AJdYY4IqAPrVg2o8vIJGOO3mvp/Ljlc1faG+yzHcZw1/Nb42XgqVJTA5qcZTTZ+5cCQ1skRP4gNGTL54gbBNSeypczrbOy90cX9oDTuucS9d1LvoIF+MqjwpNPg4Ey3Qf3GY41oYKtB/CK3V9fIAKiNcTN3c1mgH+6Oz5/oy6lR9DN0RsoPXE+VaVLnMSxD4CWOv3RmWbFNoWyHsjRnJ2N+1umbSOCzJ3uRchOOs4aelRT7vk+rS3uhN7eUFCnvqY6ENdXSuQG/+TWiEY332fOtR9Z/FjDE1YIyEgb9ZY8MphrmoVN+R6OR0Df4X8ZaF2KOxlnhvPCFGbkdlYnMwmJeB09Jr0+9sNH6cfMTXxA8WkdwcZOEP4bbwHytsSjf5zWmXoqkO5eJo1Bmyf86c4Pmeo3CK6sWM3HjWd7LPHvv3bjIZU5Ku6emB9KXk9sX4bLI3ebm90yIiJp6Kfw6D3ZMMAOOYakzHqUr62/q/jcmVpDWYoCPO5YnexEyfzPKDwQL96Wid7r+GOc6QH7jdiDoYm8dxvcHznIw2snwETR19GJ3PrkYb3V6O1sncm73OncCXoGinfDEaqPXyNkqUGrb9+u3PKRDcODrRmzipFOevBSZF0X1yVXJvCcg95KZeZVzHPbJzZudtPpl1G/kFo8dga2+PzEzUwTmeERoNDsO9qMP093F+rhBt6OQwXH1KGk19SwKPleB6VU18bXwvJ+NcLUheN2QAg7k242RO75zZ+VylbWvgP9lu4neTGzjIuK67f+eszkcqaMq70fvf+xx4KGtXuTqbb4fWpxXqWn0R+UGc8bCE/MV/DI3yVjWJVOK32A16hSMj7ZFbij13PBV/n8HcQm40eRNwJ4anRWRrgzkYXVgCuIJcazBztphi5NBGYGXsLJNlzet71/+cfKn6x9Im/aFYW2w8C/F6YbBA/3RGlzv+AnDZOM//cTSFbKI8i9r2qyLOsSO6xvHWfL2KZpLYu8DjJplK7ifIPeT2V3o542T2mgzribrfYYn1xlqlSX6JtZg2mJiPzsqh5Dsrv2Z8zspe6NbriF3RR+BANLIQm8BnbXqBRQXGX0MjuIOF9HXvrCRTyRNNxtwzjLPyHMKnwqHwsZNhcmlQmERv4gSsXU4xsrzCzgrAt8l1VgStSyuXswJadFvIWSkFZ6PNZb3MA+xeW1WHg7MA+//dcF4pGhBGQ9E7BfkAuoM/yBTgKIQvZB2TQWdlk4h8EeHuHPvEqbQIRE0z18ztT2fSXyD/mbdXCy22MtxkYbBA/0hGLtC/i8KqqeVmFzS1q5g+fC8CEWtsG3QeKppwKPyQweSIOwjyBsd18qW165C6d1iCBOMIe1vDfwm1hUqy5T5B7IL6TWjh+XhoZvgdMhftzHo32svkAQpvrQbQh3whZ2O8nE9+ge5GNLr5bP7h9UWsN9aaSCUuFORyCqehXEOAvSPtkWKiNw1qnKXrlk4xGPt+e7WJpkJ9B8rJ/qjKlpefkp/eWUo+gKaGlIvXyW+8uy35wgZVR0eo4wlBfmAN79fa23pCKc4fDUXvTGfSs1EntVBqzmvAlWLkHdH26GXGGG+tp2v6jB8KmjVNbHbsFSPm82jT0y0YMV9YtGrRx3wyq1oYLNC/wRrPAF+hNDW8aeAeNE3+bOAMtHfKAjRddLgavQ6Gb88wFn4CuQ4/GggaVfBiLGxeuzlZIDXs2Hgq/tGCH6gj6jolLNmTPESM/IVcx+xFp8nZv2O3Dr8W0fuTLxN6MePPc9yP3OZp/0X1wG9AIxTrreODaMrZOejujM2RqHNTDCei+aFeTkXzRuuWRG9iJsJv0XxVm5eAr0RCkWsqbFaDKiSRSpyF3RTNEI60RborbMpVaGH9IAOoul+5FqbbosW1u2Vf/xNNafXmjRebEgb6THuQ3HvxP2ijO1t6tKpIrE1Mk4ysNpghpSThmWBLcPa86fM2lfJaS1YveVNfoG8XDNOaaHp+Sv+U1OmzT9/y/xNPxe82mHdlbXgs0h6xg34Nxkj32u4j3Yx7JZ71liCvGdccFZkVWe2jaX4zHZ1vvEXpvyS/NcJY+RjqmFwP/Al1ika75/cGvgccZo2/is6HE82E+BBwozV2FqUJDtOV6nqbg7OS3F54zxoxe4Xbw/8txTWqkbrdYYk9GtvaddyfYv2OInKqj84KwEnW637A7gszHv6FRi3fjEYPriffWQG9ca9Ft2IL5XleUIQNg1wN2BNwOSOqvhNPxd+HcA+FnZXbnSbnbQ1npQFAV6prJ/JrLNakSVd6O39bVA7Yy88pn7MCWpA66Ky4aCCjHIXcAti75zugEs1VTWRGZIPB5KajGHbd3L+5mGhvQebPmv9CZ1vng50zO2/rmNnxL6+zklibmGYwW1JajWPsaHGDcdAxo+NmF3e5d8xgtsLh0thtsaIVpGqYE8lX0LKVsMbD9cA70DT3vzG2AMWjwFFoEb6XbdDa4InyB/J3cD5PiTYJOkOdD5O/ZtvFNW6hXkB1Q906LK1TWy8yYtq9Ywbz42h79Nd+2YTenLZS2XVo+tZ42YAW3O+DbnmONQK3KWuD3Ql6b3T3pxgy5O+mHIQWnNUdiZ7EF7LFrDtab7lAV3tb+wd8do4bVBEBAl2oszCEIexDAe6x5AtkXFzG6x2KyokOchHlTT27hvw01BPLeL2SkTbp7wFPeccMJrp03VK7P0XZMBlzPJ6i3oybubpS165X1q5fey4qdOPlbS0zWwr1Mpss2OmOfyG/p9J4mGga2QAa7LUdHDtldrzYc+os8qWbJ0y6NR0TIzmtEAzma8nVyfeU6hrVRl06LMlU8hgROdkaXrs5s7kkhU9FcDjwJmvsigme6yl0R2MiksxpCivnHDlBW7xcTW4hnUH7rdQVyVRyIYYfYem4C7Iew0ciocjCOWZOXUo2Nxg/WXWXk6zhf4Rnhlf4YI7dIflfaK53OZiKSowORhafQlMjykkG+Jk19mGKly0tO7G22GYx8m1reFpfX19HJa6/dN3SKYJ4n5Oro6Honytx7Xpm+QHL+50W51Ty61m+lXgyEfLJLD/ZH23w6mWia6FS8ALqMHmZXujAcfAr8vvLlaw7fWyX2Oti5EvkOmqOOPKDZSuXNQ/3uVqm7hyW2KrYtoLYXY5d13FPjs2OveKLUUMcYb3+D1DpvguD3ES+s/OWEpz3OeBWa2w0CcOaQURMMpU8X5Bzyd/eXYXhvZG2yE1+2NagenFxl6AiF4OIuHKmMabSHZyDwCHWWDkj6HFy+xB9HRXjKDdXWa9byJeYrUr6ZvZdaTDe+kTEyOnJnuRuw32mVKT704tRVUe9LvIdH76jdUnHWzqedl3XVghrpbk0dQ01hr0W2oymrPvJU9brYgMcG8lPNbN/76LIKt3a8/e+G7bfYIuP1AV157C0BlrPw1p4G8wFPkoYe7ELu26lvBKiI/Ea+bUu00p07j9Zrw9m+GaSNcMKWRFI9iavsCKQAAjyx7RJvyvaFn3cD9saVC/JVPIYg8ndvTT8Ijor+lcfzCl0L5YraHIwuQpdV1PehpReHgaet8bs+bcqiZmY64prd81uxZmYBH3Xmq53xFbFth3pmNizsamJVOJ7eP5egvwxGopeOZFrNihM56zOXwhye86gcERideJwfyzyDfte/Dvgd0B5a+v1CwWPGh/2WmhvYOcSnHcL0iLfxLJVkG/He+P2DlbNU1cFX4nexKEi8kVreFVLc8tCXwzKZSu0IMyLn05UADufXjXES4GdQhAE3kX+lmvNsEJWBHp6ey4jP+8W4Io3rn/jF+ceMNcv57NBlRK7LdYkiK0Atpl8afNKYe8yvEy+amEpCAI/YmhX6SVK1ItgjAg6D3kLZ99fwesXRbQ9emMylbxVkC0RWRH5fFdv10WdbZ0PjvRZGyPmi8FA8HPJVPImMXKrcc0jDs6/JSBN7oD7ZhwOZzOfY0gUAWB1oCnwhVL9Pg2GyDiZcCATuNMYsyVtRxyJxSR2e8zEJpLiXWsY8nd5/Q4oGzTA4qUUYhP2Wmjwdy/ZblL0LdGXkqnk/GxLhUGCRswPROSwetohrZsdltizsalITq40gLjifqXUkpATZHdyU0KgvIWno/FWrPoL8puuTZSHyE/7mEhzy6ogJjFn9ZrVVwCfy3vTkAi3hU9qOCsNCtE6s/UUrO++GLkg0hZZ449FeffhPyjcvK1YvkOufPoZlCZiOR7s+fWt1JCUv4hEsPLTHXEmqgK0tSCfQrhUjNyZMZknXdd9DIdbgU5ynZUnnYxzWEMwpDycNfOsXsdxbNWwPZpWNx3jl00VZhdgO2vMz7UQqILXDGvspyU479PkiyqVfC0UDoWvIH8353+SqaRdy13T1I3D0rq59Rxyc6VBWNbZ3mnXU/jFHtZrF1jlhyFZCqnmlKr2otDvtnuJzl1xWta0XGzE5EkcCjI/0haJ1lMEo0HpiD0bmyqSV0D9Yt9An59Na+15qBwpjG9HHZRB/kx+TUklsH+3bShxOkY5ibRH7iU/Env0eNOHjGv6xnjoALAk3Zp+e8fsjqfHc40G42PzwOYLUKXPLQQCgXlI7TjURWDPQVC4mWml+CxgN239GZqmVgqesF6XZy1kmItV5C9GlmTl9OuCunBYulZ37SOI3XDs2bSTjvhiUGFsad81FO4+Xwl2Br5kjd1DaR2oytykZSaeip9rxHwl7w0hGg1Fi+mf06DOad3cOg+NJm7BYM71WfxjlvX6yRKfvwVtHjuY7vI6Otf44dTbcxDU2jwUIAzkOBziSEJExrywDYfCZ2T7qiwAfpct6H8eeAnhMQw3GszXnSZnRiQUWRDbJfZ6SX+HBnnEZsdeESP2InnPrlTXZKhlsddCrzLxBo2jsT0qIuH92QMtfl+ANpe8Ck1hHeRWcmXYi6Uia6FIW2SNGMlpSmww2zvG+W45rucHNV/DIiIm2Zu8mNyOnxhjvhpri708zMf8wC5of8YXK5QLgTdYY6XOqbcjdBXrI1Aq4qn4lwwmr/5JkPnR9oaz0mB4znvivB366c9RajGY3qmZqcuH+0wFaCK/bq3UkfROYF/P64WUtyHlSDyLOkrexX1NzUORGZFUPBX/ocFsaR5pMO9KppKfQGVTRyW7A/xQ9mdJeSxtMF76Bvp+EgwEv4onPcpgTiZfZbPesO/Bwfu0HCwAxioJ/gp6fyQpbVPbiq2F+tb0LW3drfXTYmSoXlo4LtGbWB5pi9xerutWiprfYUmkEicB/+MdM5hrw23h3/pj0bDYC4VXfbFCIwd2X5TrKP0kaf9+Vd8DwUuyJ3mIweQ10xNkUWNnpcFo9Df3n4V1z4uRiLejuA8UugdLOQ+9DQh7Xt+LNon0C5f8Pgg1NQ8BkOEcbAUlQ7xeey1MFmKzY6+IyM+9Y8Yxhy9at2hXv2yqEPY96NdaaJAMcAkwE1hEaZ0VqOBaKHZYbMBg5mLXJQoXxW6L1fwGRU07LIm1iWnGmKQ1/PoAA2f6YtDI2JJ5lehFYPNe4HvW2DPkp4eVAjvtpWYWCueuObdNjPwGW5RA+EE0FC1307sGNc65a85tQzsnb8FgHkzPTF/jk0mD2HMQlG4eagJ+wtA9M9g92u/mqfY8NKK8bzUSnR19EcNSa3j3DdM22IqYDWoM45jL8PZDEwKBvsDH/LOoIlTDWshLAPgacD/wVfLFkYqlomuhjvaOlWLE3snfNzgjeGo5r1sJatphYYA4+Z3jYwtDC21VhmrA3vKsdHHdWwF7Ed6Pyn7+pwzXs2/6mpBrXLZyWXOT23Q1sIN3XJA/pp9Kn+aTWQ1qiCZp6iI3J5qMZM6sAsnSQmkXpZqHOoB3el53Ux655PFiP+P8/htMiPTr6fOx+sqIkVj34901EwhqkE9WLfAea/hoH0ypJJVcC90DLPf8/BT4NbASqzYM3WG5BLgd6/lfJBVfCxnHdJK/rvtOfFV8x3Jfu5zU7BZRMpXcT5DcnQHhse03bH+BTyaNhp8pUrOAWwDvl9VFpfzuKNM1q23bd0ys3379eeTrsT/eZ/o+EzssNqGt4mRPcjsX9wjHcaa74r7JGNMnIs86jvP05v7Nf/W5CLtBCUmmkvuJyKet4ZuqRK2w0D1YinloT7RWZZBVUDXdu+0dlZq812J7xzYmehLnYrjEM/wmCcoZqIR0gxpFkN8bzEFbBgzviK+K7xidHS1VX7Rqo5JroV9nfwoxBTgWOItcMZJDUIngQ1DRkGKp+FooMiOyIdGbOAvhUs/wNCfgdFFaQYGKUrM7LC7uEmzPVTitivth+OWwTAduJletSICvAD8v+InSUHMOS7In+RHA3kX5Ly7HTETAoSvV9bZEKnG9GPm3MeZXInKBwUQRYgazXFy5MRgIvpRIJe7IXrtBjSPIeeTOqy6Ob00ibTaSH90sNkXKQRtEtmZfD84tfikgegmgixIvVT8PDUf6qfRyLPlXEZlf61HTyY7b7N5oDRkCeUGzeqJa6ls3AVegtXcrrPfeTumCLr6shdIz08vROsItCHJKd6r7XZW4fjmoSYcl2Zv8mMEcaQ3/MjIrYncVrSbsaIndpKgc7Ip2kJ1pjS9At0fLif37VXW0KNYbe0NWZjJ3e1r4SmRWZPV4ziUiJp6Kdzk4K4FjsNKDLJrQ7uM104W7QWESqcRRwAes4asiMyPVkBoFWk+ywRrbrdCB4+AMtDZukB9SPSpHu5GfblLV89BIZHd4z7aGt3YcpxprNhuMkYXTFz4jyBrvmDGeHZf6w74H34K/a9FNaC+Wf1jjXyE3K2Wi+LIWipmYa1zzTazmsxkyl8QkVpNr/5ozOvZorEVEFlvDmzE56jTViN3jZFcKF8GWip3RhUO7NX4WUAmVK7s5VKGeCFVDUIIXoRPnFgS5JNIeGdculIiYRCpxqcFEyZXafg74JcKFwPmo9vvD1GhOfYNcYhJzjBi7IWQfAc7xxaDhsfuuFNMToIXcdKTnGLuEaCUo1KCuqueh0Qi3ha8VJKfmQYycNgmUpeoaY0zuYlnYxydTKoG9FppC8YGTYhkgv7VDKxpwLBbf1kLhWeG/AVd7xwzmgJY1LZ+rlA2lpOZqWIJTgqdhPWQFOS/aFl3jj0Vjxv6SGjT3e2UZrrUDmgZm3yhLqExueTPlb1BXMpKp5PsFOcEafrK1uXV+wQ+MQPea7rOMMV6FqNUickYkFLkh2w8hh8W9i3d2xT0WJ68AsEEN0drbenyO9r3yvciMiF89SIbjCcAbvd2riHM1AVM9r99M/g7OeDg9++PleCaeuvpW6/VL2Z+axRgj8Z74ORhu8AxPcfqdDvL/7xoUQSKVuJAiC+BF5J5oe/S4MRxqd3qvrQan46PQgn0vtJm2n9yB1rh502QPRNUPi2FP63VF10Iu7pkOzjF4+/2I6U72JK8Lt4f/W0lbiqWmdlhivbE3CGJ7wf/uy/TVQjOsVYDdg+F9ZbjOG4CbIC9CsxRNBasEBzKU0z7IoxW69riIPRprEfJSwVxBvjhv+rxN4zlXsie5r4h0Dr42mAelRQ6Ktkd/X8hZAVjQtuD5cCj8vXBbeNnEfoMGfhN7NNbiGjfmHTOYl6VF7B2XasC+D9/NyCmLtYydZlmVc9B4ibZHb8QSSzGYuVk57QYlQkTeRH6X9HH9OMYZU0qR67r2rsO07/Z+127uXC+8QH5aVDnWQuMlQ36TR1uFdrzMRgM5Xio6D3WGOv8NdFnDO2H4diXtKAU15bAE3WDYYHK6hIpIpEZUltLA3dbYYSW+xnaousU7rfELgW+V+FojcYT1+lVU47zqyO7Y5URiBbkkGoreOYHTXciQbPTr/U7/J6JvidZ0RLfB6ARbg18zYnJSL8VIskr/9rYq4FTUaak3AlgNhVG50rpAkIXWUEuT21Qt4g4Nsgjyh7EcZxzzjD22cWDjG0tvUdXwF+t1qddCE8XOOiq20a+9FsoAdxV5znGT3pS+EHjcOybI6cme5L6VtqUYaiYlrPup7l3cAddWcHq4L9R3uS8GTYw/kxv1OxRdMJRCOm9b4I/o7oaXH6KFsZXkQ9brO9CeL1VFVm44anLrcv/dZ/rGHXmI98b3FJFDB18LcsFZM8/qLYGZDaqYZE9yOzFDu2oACM+kW9N2g9ZqYSXwXzzpAcCHmZi8uQvcV4Qt+5Or9PgCsM46Zv0Ez30wMM0au22C56o6oqHonYlU4hZyRR5O7k51n9cR6qjpOp1qwcGJi8iPx/Uhw/fRqDpAf5PbdOVYPiab5L+mNVcfoqmlqV53WEDXQp/yvD4A2An4tz/mABpstGvBirXHXgvdB4xbcbRYYnvH+hI9idMw3OwZbsLwXfKFYqqWmnFYMv2ZbxtjvPnSGDHRKmjGNh5uBmKe19sAHwd+VuR5twJ+R36k9CfAqRRuGFcuZpGbIw/k3CRVgxiZn7djZ6RjIhLGRswXGEork4yT+VEpbGxQ3bjGPdNg7Ejot2O7xEoRhCgHGXSx8H+esePRgtPxzqWb0YXGRFlPrlPxC+AbRZzPi12TthH4e4nOXR0IUQxHMDTvBFzcs8j/3RtMgHB7+J/AP8d6fGJtIkRmqHbTGPO7+bPmvzCWz/Y3978WtDIzJSNThzm8HrDXBAHgOMDPPnpHomspL8U4/zuQ77D4thaKtEduSfYkrxMjHx8cE+SIeE/8E9H26HC9aqqKmkgJW9yzeLYx5gvW8F3h9vANBT9QvfwdsKPuJxZ5zqnA78nP174c+BKVV6H6HLn1IBnyNc59J9mT3I78xdE/+2b2jSkilofhcO95Grsr9c95T5y3g8HY36HH00+lr/DFoLFjF7FPh5zvb63TCsyxxn5F8ekdVUWkPXIvOvd7OS6ZSu7nhz2THpcv4n32ueMo1m7KX4s5jpMpiV3VyWq0C72XYtdCxdACxK0xQQPBE+U4cpVCoby978bCN7AyeowxSy5adVFN1DHWxA5LxmS+jfWHN2IiPplTDILK2Z7lGTsK2JdxRHI8DDorh1rjK4BTqLyzMhXd0fFyMyp3WlW4uKcYTI6stMF0TmTHbum6pVPS/em3eYb+ASp1G0wFD8dwgiBvdXB2FGQjhnUicpsjzopwe/ipIn+VBj4x0DwQwWoKZowJZ/tlVDO/Q9MSvCkn3wRu8ceckvMF8tPBJhaIqHKMmE4x8hGGgo+OiJwNfMJHsyYdsdtiTQif3zIgPBMKhW4a6+eDTtBguSduv1vJzAg/uArwNjF8O1p3Zte3jIV3A23o2me8z/Ct0N3dt1njfwLyaovGSID8JtT34bPwR7g9/FQilTif3DVoaGPTxrnART6ZNWaqfoclsTYRAj5jDV8fbg9XvHCpRFwOOVOTgQn1kAkC15JfrPYrtAmSH9GZL5OvqvFTH+wYkZjEHBy+ag0/HA6FJxRNSafTe+FxqI0xjyV6EzODvcFbszmjnzeYdwnSBuyL8GGDWSJGnkymkufHHo21DHvyBlVJ15quNwuS45wLsrJjZsf1ftk0DjaTn4b6YbSmpNZpJl8NcQ11VL/iJdwe/qcg1+YMGv6vlrtZ1yItu7V8ENhl8LUYuXyOmTPmZ3Bzc3PAHnMDbj3vsIDuNthKnJ2FDhwDu2bP9wTaG2p/Rl/fTkMDrI+TL1/dhwZxJspnGKplGuSnRZyvZKQ3pRdjBZGNmNjSdUu3H+YjVUPVOyxkiJC7EySuce1uv7VED+poePk0ussyHk4kPz8StOj+iex1xvvzp3Ha4GVb8hcKq8n/XX2ndU3rMXmqTsiEowsmYHbwvnZdN4DwV/J3vmyCgswLTgn+MfZsrJ7zlesOI+YscnuQECAQHU6+ugo5H22WNogBzvXJllLyJfI7Sy+hnhu0CmeR+7fExa22hqV1jYNziuelGNdcNp7Py+uSvxaTOv7OKv8B7FrPI8lX9xsPs9DdgwdQcZHBxonfB5LAJejOzoNoQf2lWA2j0bniy1iqWuOgBfIkg1+g+H4uJSG2d2yjIPYaelpfX181Nf0tSFU7LItWL5pOfl7j7zvbOh/0w54SEie3ED6A3jim8OEFyYvIZNmNievG2zfueDiHfL3xJP7s9IyM5G7VCrK+r7Vv4rmlkqO4hDHmHIaibbdg+FDapKelN6WDgUxgFoawwXgL+w8Nbg5eOuHrN6goi1KLZhgxp1jDd3WEOqpSXGIYUmgahJejgY/5YEupeCMaXfXyPDCuxWOtEW2PWHdKhQAAIABJREFUPolwlTX8wXhvvJiFX4MxsmT1kjdl0/IGuSMyK7J6POeQQL7DEggEqu/ZWXqWQF7T5O+TX/sxEbZG1QKPB74CdABfRTNQ9hvmGq8BJ6GZMBNlPvmNP79LadRgS8Kstlk/AR7xjomRby5etbh9mI9UBVVdwxJwAgsY6msBgHFN0idzSsnD6M7DsZ6x96J1J7WoLvUO4OvW2JNUYd54d6p7Dxc3t8DYsLwYVScR2dpyNbcGMGIu6Ah1zLOi7j1Ad7wn/htjzO0MOXknJnuSP6zhVMeykZUOPqrY8zT3N9925h5n/qfY8wQInIM1L4nJ64tRC5yLFqd7f5cL0fSpWuhtZXMB6rR4OZf8tJO6I2MysQCB4/H8LY2YRVRHQ766pt/pP9Fgtix+hXFKIQOSFgcrMdjtq/saFlAZ8x9BTor2XsCZwHga7z6DChpNtHlqBvgt2gKimLrSWajiopfn0J2dqmGOmZOJ98Q7jDFe4aqWgaaB76AOXVVStTssXamundAFvJdbwrPCf/PDnjIwD5Xa9HIBerOOhTSwocQ/E1mkbI1uudrO7zfJj5z4jov7KXJ3sgbcjPv9Ik+btyASZGUoFDpzuBShaHv0SSPmSzmDTsX75dQKu6HFlEX99AX69ijWkHhPfHfyJ/Sbom3RiRSK+s2TaGqYlxlo76ZK8FvgGs9PMTvnnyFfzvd+YFkR56wZFoYWrhWTt1A+pDvVfaQvBk0ijJiTPS9f6Wvt+9V4z9G/VX9+dkVT3aeEDbIQTZny8h00iDtW7kazRPZHm2T/GljLyC0dXkJFgSLovPdJinNWguiutZ3efSbaPLuqiLZHbxQkJyvAiDkuviZ+sF82jUbVOiwOzreAKTmDhi5/rCkLT6NpVF62An5JNkI/CpcB25f4x+6fMhoGjY7saY1fA4ypw68P5KS8CHLrwlkL7WZ148IYYzueGDEXjFZ0GW4P34AZUg0RkSNWyIrhUv0aFIfrGKeovzMAhnOxnHMxEiv6vP6xCH2we5kDeaIU5eDk7LUGfyaaurUX+TvTLvo7TIa0GgACgcAirOCJi9slIuNJNW4wDpKrk+/BDAUZReTnE9mtb+5vznvmO65TNSlEZWYD+fWvTWggdIf8w0fkIWAp6nzMRJ2HfdC1zZHAe7Kvd82e+yg0dX2iamBezgfeaY3dhv9SxsPi4Mwnt77PVHMWU1U6LFm1Alse9++RtsjtPphTTr6LNnHzsg8aeawFXewEKhjg5d/A6T7YMiqL1i3aFavRnSPOb4s9rxjJi54EnMCtY/sw3uO26+3tnTXssZOU/kD/RlRydzw/93rPYTC3FSshnexJ7mswn8oZFH4TbYveXcx5feZ1tE7QlmK+iNqQxt0FuJH8hm9JNOo6aejYreNZNP/fy4GJVKKQOEuDEiAByckCMZhxp4MBZEwmr6t989TmindE95ErgN9YYzPQe3ssAdzh2IxKCd+NPhf+nn39bBHnLMTXga9ZYy+jWUJVm9oXDoUfQrD7hr0/3hv/eMEP+ExV1rCk+9PfxOpvgMkrpqwHMuhi4QFgR8/44agE3glUb4RwHlrE5iWDOjDPV96c0Wnqb/q4kBNtFOOaYhpDAZDJZHoCTs7GyKYFbQvG9H9gjEmJDM1nIrIjxXXXrTuyTTjHldqS7EmGxciBg69Fxp9XbiNG4uQGedyswEKtcwcQQ3dbBgmgajofzL5fjewA/JF8VbA7gVpWkpwwkpFuEzBfxvP8NMachS78GpSQJc8v2Wrg9QFvHeoj2Wae4ybgBLZ1M7kZYBvfvLEW68gmiqCL+7ejOyODHIhmbHyc6m38+nnye5gI2g+q6htIZ1oyCwP9gTl4UtmMmO5lK5fdMPeAuf0+mpZH1e2wxFbFtiW/gPuB8MzwH/2wpwI8g+bE21+Mz6A9VabkfcJ/ziE/9x202Kxqc/kF+ag1tLJjdsfTxZ63s73zaVRCcZDN4/h4zrFipCFvXALEyJYmbgbzcrAleF0x50v0JA4EvEpAiJFfhEPhh4o5bxWRIL9r+hQ0tfOYypszKjNQx2Qfa/xZtMN0tTfvLAvR2dEXkbxdloMatSylZ+C1gU/jcQwL1BCNGTfj5uywCLIpZmJVVwNaZjagqaF2KtwHgZsgV42zSvgGKldsp12eT/6OUVWycPrCZ9BsHy+7r99+/Vw/7BmJqnNYWp3Wr2J3KXY4t4b6G0yEm1Fv3P4dP4b2Rtmp4hYVphX4Mfka46ARhsWVNWfsZGtD7CK+otPBALLfzYc9Q9uOuRbFtb7rLi+VwqbJTDwVfx+euipBrpo3fV5RSlHGmAS5D6VMQAL1tOvrorujf7fGp6IFrHaKrp8cCPyV/Nq5l9HFTSny0WuW5oHm87AEXVzjxvyxpo5xckSB+hjg6iLOZkvjT6Z0MC/3ok6LHcA9FLid3N0XP2kCzkOFkux19M/Izz6patKb0knyM2POTvYkq8pJrCqHJXZbrEmM5OYBCo+lZ6RLsrCscq5C1S1sDkHVcw4v8F4lmY02YfpCgfd+DtWtcJVKpfbCynM3rill92tvalkg1ZuyI78FcXH387yU5kyzXQDdYJwYrB4pTnENu+Kp+PsEOcIavqwj1FFvqXuvo71YHrHGm9A+UT/DTtWtLAaNaN6FFs16eR34KPDPShtVbZy5x5n/MZjlOYPCexK9iUP9saj+6E5174HgVVP6bXR29MUiTpmzMBSRyZQOZnMD8EXym73ujyr/+V1f8Ra09rjQeu0mVEykphTeYnvHNhoxdgBuB3GkqhyvqnJYgrsFP4bVvFCMJGMmVlN//CL4LhrJtOtWdkZ3Wr4H5BXnlZlm9Ma8H80vtVkGfI4qv0HFEVu9IxPYOlCydJ5AJvBr7+usfPKIdD/evY0x5sOeoUdK0SdkMhN7NLY1qhAzyMORmZEHijmnwSyyhvoGnIF4MeesYtaj0cx/FHjvODR4cnQlDcqyO7oYuADsjhW8BHwATRFrADjGWUK+3PpZfthSj7i4p+DdcTXFBUVc3NwdFibtDssgV6DzjV23Mg3d8b0MeFOFbXKAL6NKZIX6G61AnamaTOULhULLvaqlAAinL+5dvLNPJuVRVQ4LJrcDOfBin+m7xhdb/GMZ2lDSftgE0Nqex4Evkf/QLjUG+DDqqJxHvlKHoIW6hRys6kPy5AYfnb/z/NdKdfoFsxf0IEM5qwZz+qLUIrsYOAe3xT0b2NYzVHWNNmuN4NTg8eR+V4vqKZLsSX4EeL93TJBlWSGAeuUl4Ajya1pAex38Dk2n3LcCtrwRra95GJUgtVmLLh7sVLZJzYK2Bc8Lkiv1LByeTZdsUASx22JN5Pb8ebp9ZvvNwx0/FhxxvKI7CDLZHRZQB+DD5NaHgq5NTkLXQt8kv+9JOTgUnWOWoS0gbC6isINVM8wxczIiYje93CojmU5fDCpA1TgsyVXJvbEWBsAPYm2x8RQw1wu/QXXDHy/w3k7AcmA1mh4xrcAxxRBEHaaV6NZsodSm9WgkoZYUknLkjI0x95X6AuJIlKFi320DBP7YnerOa1a4QlYEkqlkFFVaG+S59Kb0paW2adIhOSmLm4PNwZ9N+FQiRhyxv+OviyPj6cBcq7yO1tB9m8IBiY+ikcbrUIeh1L0+ZgJLgDVAmMIy779H+x78q8TXrguy31P7+Vk1i49apWVmy9HAmz1Dl43Wc2tUTG5miTGmaDGYOuHP6LP7/gLvTUOzUnrROaLUOy5NqODInWg/lXcVOGYjqvT6Dao8y2QsREPR6zHYzdm/nFibCPlikEXVOCwSkNOxOpA7GWf5cMdPAh5Gi0t/SmEd7+loesRzqOzfp9Bo5ESYikYvL0VVdlYA7xjm2DvR1LDrJ3gtv8h1vISSOyzRtujj1i7hHi7uPxOpxLWJVGJ+oifx1URPItnT2/OoIF0Mfd/7jZg5sb1jeQ0oG4ydbNDj3VsGDL+ZN33e+omerzvV/WF7Z86IubhzZudzE7eypnCBc9HdlkI9bAzq1NyBBlBi6Jw10eanIWBu9nwptEN0oR4Mm7PvfRQaIhXD0Tmz8zmEn3rHDOZ/46vj4+kg3sDCSE6NnAQygcuLPacgOQ6LK+6kFo6wWI02fLyIwk7Bm9Bd2KfR3d/Pomn0EyGI7qZ8N3u+69E64kI8gM53dZUZISJha6jFuGahL8ZYVEUfllhv7A0In/WOCfLrUkjO1jgb0QKuK4BLgLcWOCaIOiufQm/mh9HdkSezP/8BXs2eawq6AHgjujjYA3gbusgbS6PKa1EFj5pSbMt+v3IWPgbzZDmuFWmL/CDeG9/WiOlC769mtKbik8PEoDcAnwm3h+8qhz2TCWmSU3K+mW5xeeVixJ6kNzYNNC0p5pw1yl/QbvJnoY5CIYckhPY+ORtV67oLeAydg55Cd2U3ouo/09B5aGe0NmVP4GCgbQy2/AntYN8z4d9mEmEwCUG+gCeF2Dgmgj91SDXP4t7FO2ck88EtA4bbFsxeUNR38csrv9xsjNnJO3cFTGCyr31s0uguxtVoYLVQQLUZ/V4PfrcfBe5haC30AjoHvYKudwbXQm3oPLQvOg+NlmK2GVUBu4RaSIcfJ9FQ9M54Kn6zwWyRQheRE+Nr4+dFZ0Qf89O2qnBYghI8hfxOxRf7YUuVchuwH+ow2L1EvDioksb+ZbLjCFTNpKbya1ucll3saUUyUupOt1uItkUXd/d0/1mMJAU5lMILvE0ickXADSxqOObFE3s01oLk5JWvSYfSf57o+bpT3Ue6uAd5x4yY709iUYTXgC606HS0NNQ3kLtwKCV30nBWxky4PfxUMpW8UsjpyP6RRE/iwIk2OZzMZNzMyZihdZNxJ9bZ3stub9htZyT3GSGONJ4JhbkH3dEYLgPEy97Zn1IzgCom1p2zMkhAAlHXuB9gKAsk4GScc9ByAd/wPSVMRAz6EPTyUDQUbSi+5DKV/D4i5eQZVI3DyzRgfgVtKAlmwOxij0lL+RwWgI72jpXhUPgDruNOF5FPipFvGEynEfNVXI5Im/T20fboqQ1npTQEW4PHAFsKV40xlxWjLuji2rsrmzOBzAUTPV+d8C3ynZVyFpm6qKPk5Uwmnvo6KZGAxLEaaRqMXVzbYCwYTvS8+u/mKZuLakibZbo9EHADjZSwwmyF1qt4KXc3drvof2sgUuZr+kpHe8dKY0xO40tBPtmd6i5Ux1MxfN9hSaQSHzHG7O4dE+R7ftlTxcwn/0F9FqpY8XHGlk4xGi+ina2vRIvdQIvdvL1CvoHKK9tNhqoWY8wukpvFtikyI7KhEtfO1jvYjl+D0uONILsDMjDhvPJEb+JQxBIAMVw6iWpXCrED+b2WnkQLUY8Bjgf+h+IVe1xUOnkFmv5xCNrnaZDtgAXUWGM2P4nMiKQSqcTPYGixLUY+lkwl9wuHwiWTdq93kqnk+wXxNiu9OrZLzO7KPm4CTiCnp5CI9L/e9voLxZ63TjmD/EbaX0NTUD8HfAJNdS+WDWj66VXZf+/AWx+paakXAOtKcK2qxIiJCvJRhvwE4+KeA3zIL5t832ExxuQ0ihRkfV9r38+HO36SsiNwujX2KFpoNg/NH29DF23L0Y6wozkUL6Pbq1eg0oD7oRPB54Fb0IWDS35X+62oMaUZ17g5BXgGUzPOVoPRWbRu0a6YHMnbWxaGFhbTgNPuV5HONGXOL+J89UCUXAnuwbH/og/1D6PBk0PR4vtr0Xq6kVQeM2hx/U3AUrTWa0dU+asbLXr9JVrc6uV0rH5dDUbB5Vxyd1mMIDU1j/uNlVaH67hFp4MBiEi797Ux5ulJ1HtuPEwjV1kTYBUqTPQvdD7aE50bTkRrXW5F55GReBWt+/0ZGhg+EJ2HPoMqEfaRvw5qLTBWV2QbI9sqmx/sWtN1mB/2gM87LN2rut/i4h7pHTOYH5cialFnnEV+h+lOcnMo1wA/yf4MMhXdvtwavdkHi+8HC8/GwvVoh/v3eMbmoioaqTGew1ccnFbvDosgr/poToMS09TfdLIgW3LADRPPK+/u7T7IFfdw75ggP1o4feFkTtHYFe235OU+8ncO02iB/l88YwatadkGnYea0XnoZXQeGq3JmgALUYn1QVrR+e8rY/4NJjmRWZHVid7ENQjHeYY/2bW6a5/OWZ2P+GZYDeG67hIH5yIAmnA7Z3YW1ZB2Cwbvrg2ClEUQpg6IkJ+Sehb5KWHPoFkiXvWuVnQO2gadj15jaC1kp3wV4k9o1on32XAyGmipW1n1DJlvBwh8Go8ok+M65zK8clpZ8XWHRQJyErkFyUKAH/hkTrUyg/wan3sZm6zw66gyRgpdYDyJyhaP1VkZxM4ZbUbVgGoCcSXne24wjehVnSAiRpDPe4ZempqZ+tuJns8V1/5e97u4k1EZzMs5qMKglwhjUwsUNL3iKVQ17CF0PlrP2DtC34juGns5BZg1xs83AMSRReTKwjomYOo6F7+UdM7qfCQyK3JfZFbkvsjMSGmcFcAYY6cwFeq/Ntl5M5r65eVhtKXDWNiMpryn0DT3J1DHZizOyiD2nBdAd5PrloWhhWvzGtDCe7MNlSuOvw4L4lX1wYi5PTIjUhNR+wpyDvmSw2EqKy18Jxph8HICubUtVYsgxhpoOCx1Qnxt/FC8C1fhqtNnnz6hQvCuNV3vAP7XGr6syPSyWmd3NE3Uyx1AUZ29J4CdptdMbTWu9Z3ojOhjBpOzK2bEfHrxqsXtw32mQXm5aNVFQTQoOYTTcFgKcDb59XFhKtus8R60z4uXYyG3V1e90WT+n73zjpOrKvv498xsSaMkgQCBkGwKvTdBagQERHkVKaLSFAlNSiDsbkJwgGQLoUbhNaAogoBBVESEVxAQQZAmVYF0upBAgJRtM+f949nN3nvO3d0pt0y5389nP8mcnbn37MyZe8/Tfk/VLAzxE610c0qnQrcfIjNYmhY37Y9RHJVJZApuwFRmbA3u/jTIRiFvudYCmI7bSEpQKhsG5V7nGZWJDZYyIZFJODvbk0lkflnAsVK4m9d2diW6WvI9XpkwCzt12Iy4hsETSKTFyQlIE9uYLEmTvgLDS5xOps+Paj6VzprEmq1MSeNEZ+KNqOZTpNQh6VdOnkAEgsJmBm4jSSFy72XLxXUXf6CVJYS146Alg44Jey6RGSxKqVOMoVUdazruiWIuRUwL7s2CxvY0hsXzgPn5/A/SaKnYMVPCSqrxZYw3LYtaNkBUYQDQ6Odm1M14MZ9jzV4yexeMviFKqdtnjpu5pLBZljS7Iw1pndwLPBXBXMD2qCrgiojmUpLMGD/jZZS10fveVW9ctVEkE6pwtHKpjoEi3VbVFvcZctOEo/FpN1F1Xn8VuxD9MCCyQvT+0cNB1xs/Oat8ddDRqtEfu46s9Y/CjrJEYrDM+WDOULTRgEYxP7V9alUU8ylS9kQMAie/A/4ZwVx6mIGh548YVUVNgsRaY2iY5xNjSo1v40gTSOhE3p3tkyRn4o6upDOZTNGv7YBpwv2eZIi2du0VRDXMyZGInHJM9pg1WUM6qztjAYNo2MZ4vDRVl+pPWa/S2BE4zhi7H7ewR9jMxO4/1YL7WlksXIfMzfmTc2QkVZdamSBxrWtQsV3YUZZIDJb0mvQ3MVSvlFZxOpibZowNFNHL6L0JmJ/TAcChHs8tHjQrjJG48VwZoBMumdG1ukrflc9xmpY1bae1/roxfOf0CdMrWa1nf3BJRYP0RYm6b8cM7GL9WVFMpFRprGt8DNvxdc41b19jCivEBIzWejfj8b+jmkuR0oJ7nxpllkkPSwGzEH0vjAh99OgjwNXotCDa0m1zo46yRGKwaOVS9UGhltTX1ced7Xs5BDjYGLsVUdmJmh8BZsTCNK5CRv/ACHme5/q1sgyWEVrrYvSGxGRJy6KWHdGuYsd78m4G2sVM3NfCTCaTaS1kfmWAGV3qpDhq1pYAvzDG9iPCZmaliEJdYwyN6ujq8G1zEzMwx84/NokyhGsUz0c0nWJkP6S/k5M7sfsyRcHliDy7kyaKoLehoNcH5nU/yEuExiQ1KfWZQl3nGgw5yhL6mztr8ayxaA5yDSp+qVRcV+DAzMvuoHi8iO+CJT29O45agnDRxyLNMp0hT1ckKq3TpsFSddnSyzYIZ34xQaCVPs35OJPI5JUOduWiKycppY41hu+u8N4UR+HuuwRy8yuW3PrLEMl2J6YnNqYfxteNv0cr7fo8tdYXz9fzk329JsZfdtltl20VaqhzLKMzscHSi7kP6qR42il8CPzEGNsBXH2OomQOMKb7/81+HbQ93X59lFGW0C/wVarqZOO8Wif07WHPo4g5GtjbGLsR8SwWC03YvVyaCL0RqR4JmOoVNgkrwkJtujYuMi1RUq+lapD6FUAitJ1jO/PKaU6Tno7RC0ppVdaqLwOQQLyHTlZTXEo47wM3GGM7AabhGdMHx6nj0kob3lIYv2jZoqMimVAFkkwkXelgKDqHVA95JaLpFBtfAcOxDT8HFoY/lT65Eukn5WQWtkBAyOjJwA+6H7wMXO3XkaOOsoRusGit3TK9ikfj3ivrSGJ7FVZRfIXty5FO9062Ak4MeR7XA5t0/7/vQkXN+9ZYgvHBTCkmaAYPHrwL8CLwMPCwRjelVCpnqepZb8/aHNVr+ACg+UPDhIZK3jR8G7u/0vXABxHMpT+akYaUTq5A+rPEZEH7oPZbkGv5OnRGRyFZXZFoZdevTB0z1Uy3DnIGY0GfAPp60H8D/W/QH4HWoDtA/xf0X0FfDnpSePNCYWeUtFFcThOAldgCFuOQprYRoYcANyPvYbp7Lp1+niHKKEuoBku3dOhWzrG42N7FicB2xtg1wH8jmMtAXIWERZ2ksJtcBoQ+kt4eNU/Rj2rIjPEz/qtQK51jCqu7cEyJUD++/pnG8Y2HOn7MAsisSHYmz8PwhiVINPkyydKkGrtz80p89ND5yCfItdHJJOCU8KdSmqRGp9YA/+scU6i9mhY27RvRlCoLdw0eSqkXQjz5TUjx+B3AuYh4zrZAT+ZBNTAK+BJS5P4G6F92ZzUEzfHY/ZXmAu+EcO5cuR5Jk3cyE7vJZVi0AD2NYK8D9ZzfJ0hNSn3mpRhWu7Q28Ah3yBrKCVOerh3NvWHOoYipwVa/WEFxbhZAIj9mYfKWwBnBn1pvQG8dTTtwGgN0vNVoVzOuDJnYYKlgUgtS6wOnO8eUVo/WT6j3/QJfQvyA3ptdDy3YaQ/FwrXYzpwU0W0WSo6qTNVPMERUVEJNi2g6FUPTO00jEQN7HRmdCdFgyfk7ooCTgSdAjw5gPj0ksetUPkXSr4qRtUg6vJPNgB+GPxW9D3B294Nl2M4n3/BSDCPDpUFHWcJNCdOW/vODDRMaPvXxBJuB/iromaBbHD97+XeOwDgDrDSlZuxakWLiRuBtY+wSDMnqALgW2KL7/7NAZaOe5jJYEiRM/fuYCqI2WTsFcAsvJK3wfkDoCaCPB32FcZ3aPJzzezIYmG6MvU82NWLRsRp7szAaiHuKZMm0idM+1Fr/yhg+qnVp67aRTKhS6GBfDGVNndFhN2TVSI3DNUhvjp2RzfYIJLXpcCQC51SZ2ga4DQJT2fw+dm+aOWDXoRYRN2MLkjQg72NI6FqkxqdnT386qMD6GkYVZQmtSLp5afOuZNweBTR3F3ZUvR8Ssty9+6evG/4i4JnCzhUoQ7E3C+9hhOuLkDakQPdmx9hGwPkE1oFaH0xv2scrZOt50bzuvD1odHxDrlDmPTev+mM+Nj1gr9aPrX+wgSBS+PU3gC/Qe50a3scT52OnF4TFedjXzyuw1biKjZ8ic3c6exqRa1IIzh69FZJKszGwKdKUtgOpDXkReA5UUb+HVVRdnSb9A3o3O0pn9AUYEcgYH9HsazQCWHbJxEtM51+QXAtcCKqvdPNPEC/9/4G+EXgIWd8ge66DgEd9ntMg7A72HyHpYMVMJxLNuM0xtiFwIdI3KgyuQK5DALeC+kvQJ2xLt82tSdZcoFC9hplEWe7Op6Y0G8KLsJid7aFdof5U4FEv6/45ir6NlVLgAnqLx3tIUfybBZCeCP8xxqYh+a8+o4ciEsYKSQE7A5TZRM4TlbCiMKNbF7Ru4fnkmLJmxcgV36ZX8hEArfRVAUqr/wKoR/or9WWsRMmGyHfWyVLEY1fsdGA7R0Yim4WA0GeBvk8KlHkD+ANiIF2BfM4zkdz2vwEfgJ4XcBpNQVw84eIFZmq2Rp80e+nszaKaU7mjlHLVCWmtnwx5Bs/3Y6yYz30VcQo4+ZrfMwLOwbguI98ps99JMXIHdlPd8+g18gJE7wVM7X6wHPtaHgjdimHuOsKAoyxhGiwBp4OtI4NEJ0qF4fQuth4WAL8Mfyp5kcbOlVyPYL40c+j1pP4Y1D+yfWEynbTC7TqpzV4TMRWA0uoC14Dm3Y41HXeGPI1OikdM42Ls9IVLsDvKFyu3YTfVnYrtBPKLs5Gu1tlIo6+HRCr+DTqITZ4vJFTCVKKsTWQSZ3s+OaYgZi+evQlG/YpCPRHRdLLlXuRe38M4n4/vtWdYhjgoS4EMRv83JHMm4AiLrkEcSz3S/OeC+ijYc/bSvrb9egylQWBmULUsoRgszUubdwW/08HW8T7wJ3ojLRsDZnF/MdOI7XWdic9SdAFzN2AWDHp5SwpAH0hvQf9b2AIF/TJt4rQPzUZpaPbxZ24xpULL0pYjMGV7Fdentk8FuTnvQjbUtyHpkvsj9TPFoEg2CvmuOnkV6ShdKqSxrwfDkGtr0HwO/B1xMF2NCJH8HElBdkbsNgDuAX1QCHPKmfrx9c8ALi+/Rp8554M5Q/t4SUyeJHRiP3Ms057J2vkWDaodEdrpwe+9o1dWxo/wqUt7SPwRMD/HKdhCJn4yE2lYCfAAqFCv26ntU6sU6nrXoGb7miU1Xw3ifOHUsASTDgZwOCiPjX1QmR2+sxm9qg49vAy+GXNhoRFgBnSzAAAgAElEQVRPwgOOsUHIl8mHPGg9BPgZvUWK54DKOUystHoSx8VDKx3Ld1YaaaYZueOft6v2m/t4tl9sVsTXqUuxRTKmM4DqXhHyO+Bp3E13z0RSs/xuuvsMUm/0MPBPUF3eT9OTkDrEg7sHqoGbQG8DqujeX6XUHK17r4kKNSK9On0SxV9LWVokOMD11VcsnLHdDLtXWFGhNwLWdwy86ePBe+penbwB/NrHc4RFA/C443E1Ynid5P+p9M5ICiqIAEkkEdG2dNvcQclBF2r0ho7hGYgB5yvhpIQFlg7mtQkoKX6ELS/YQOltFgAexC7C+x624kc+zAYmdv//16Duy+cgSlkpZLu0vt4atKJZTJHQvLB5d630ZOeYQs1L1aVW9vUafyja69Q4RBLcyTNIxLoUMRUTvKTifUCdCuoyUE/2bawAqAVIx+6nHYOTkAhb0dE2ru0+jI2oRp+jdWCKUJWHRmmtv+Qe0o/39fQi4mzcqma/9fHYXsqijUhkutT4O/B/xth3sJvxFoiuQiK5PY1yG0H57ZjJitSk1Gdaaauf0+xFsw/u6zX5ErjB0rK4ZWfsfE0/F3upUgecaow9gTtKUWo04HYbJylYC1zvTa+m+Qrsep/s6cLME65OV6cPzft4MaVFwsqR7kQXtWxv0FyO3ejV/A6XEn8D/mqMnYTdjDdEVAd2v6rdvJ4ZNd3KPu7vg2K7lsUtvm88KpXZC2bvrFCu1Cet9SNRzWdgdDXoi3Ab/reB8kt1dSx277bnECGLUqUet9M5gZQs+EkDrGs8+gzSYiIydLW+GnfKIEmSvtfvhBFhMQsN29Hk5SEvM5owumxjS/qVGl7e2ePI+wa9Tlu8p6DsAlAf5ju5hkkNryHqR+tIJBKB5FrGFBfNS5rHAd80hu9smNDwVgTTKQZ2QDx/Tv4P/6VKw8bLaXJ5RHPp4VXjcRjdwvMi0ZG4FWnU14uKogleeaJqlBldaR9cPbgICu71iaDrHT+Xgb4D6S4/h9578K+RBrN+kaK8nCYgamH3GGP/A37VzOo6eveKHcD3QaX7eUHgTN9i+gq0W1VSKz25aWGTr2n3gRssGn2UMfRoQOpgpcSO2MIA9yMewlLHzH9XwKw8j5Wi1zv6CHB7/tNax5+dD7TWRwbdnTUmerTWUzFq9jIqc20fT68EZuO+/mtslZtSxMs7ezTSBycqBhuPTVWdoqF+m/rPNVYjya82L2s2mxrH5IHSyhWtUko9MXXM1LVRzcfBWUCL4+dS4ASkEL4LqUf4Mqjvdhfg+8HWwHeNMa8oaSlyCXZKm6nEly9j6TXyNHAv6EV9/1htJ441nnOWH5NKZBJXYYgkqITyVfgk0I1at3zf7q7BOLoCsnDNzUIAudaR4KUwdATSaCoH9K709lJYg3RuLdjrohKW2MOomqU1exZ63Jji5Zq3rxmhUGb65YMz6ma8GMmEomcv7Mj3bynu5rq5YOa/KwJrZJsVXzYeF3XNQpWu+jFGSotKqzOjmk+5cO2SazcEdnUNaoo4HWwdVUhEdh/QG/h43CZs4acgOvdGwZvArcbYAYDfKei1SKuH/n7qjNesZ/zel95g9ZPq31Eo09lx5Oyls31LgQ3UYEmQ+Jp1joTbw12B7IcUYjq5E/hXBHMJCq8eDrlGWW6mt6BsJqhF/T05W9p026OIosY6EpnE0X4cO6Y46ejsOAuRue0lw5xoZlMUNOMuoE0jAiDlgpfC0KFIh+6Q0Tvg7sXwKChTAr6ouHjCxQsAs1P2abHEcWGs1WsPQa9LrRIUD0c0HZPbkFqrVkRZ75eIA6PH8B+P1GG8DHoXH863B/ANY6xH6a9c+BFgRs/Ma29ZoZO6BSOypDKqvo+n50zQqTBmfcDLjXWNSwM+Z7Fjevo6Ka/NAnh3yd4XODKHYzi1y8/tP+SpFwEHOp6/ofH73/f8IlWXakO7b8Za6RPitLDyJPVaqkajXXKPSqsXGic2loJnMwi+jL1x/wV22kCp49XDoYVQNgt6Q9D7gJ4D/JNeD+ZS4JTgz184WmtX8b1Gb9i1tsuseYrJjcNdjxQLi2c/pG4E1dD9c363Et4XgC0RIYaeiNuWwEOgNy/whF5Ok3LJMunhXeCnxtjuSIpqITyPGHzZ/pgNsv9o/P6WAuezjsaxjYuB3zjHFOqYpmVNvgifBLZJm7tgbi29+vM9VHo62FewU6N+DiwMfyqBcwWSyuWkmfzW3FgGDns65aETxu/cF1dlpayNqV5WfSAxZUftoNpjgU2dYxp9VUTTiRqFXYDe5jFWDnh1yd4TaS7sM7oNtO794ROkgdxFyHUpjXiw9wRVEiIPjeMbH8DstaHxJde9EknpVI1Syi2prlUJKIKq90GdC67PfiOgkGvoAcAhxthtSHPdcqMJ+MxjrIAeiOpzUM9n/2M19V5uPMfXHkCJRGI2ZkpplzIVOvM7th8H8WJVYtXBGGkYWulKNli8is/bkOLXcuR9TIlMERs4PoK5uGhX7fcplKv3RjKTjL2HZYhW+lxj6L0Rn4yoVFn1b2IXn98IvB3BXMLgCqQTvZPZYKTlBMvnSBfv00EVbbG9iVJKoy3v8M6ti1v3imRCJU7t4toD0O79UJfuejCq+eSOmgc85hg4BnejwFwwi887iLbGLEiWA6a4y1bAiRHMJRTqx9X/B829rkHFd2YtnjW20GMHlwaTsNLBPuwY1/FsYOcrfo7HLLiDuYhsYLnSAnxsjM3GlnP2YjK5hT2dTSE/M37n6jKbqku1YcgOavQx17x9janmE1PCNC1p+oJCuTZYCnXDlD2mFGsjxyDxkvddhd0jpJz4CLnGOtke+HaIc1gPuAZYCvpbIZ63YNoT7b/AiJJnVGZKRNMpbZQ7HUxrvbxrfFdR1zJ54HT0VCH31lz5Ora870+BxflOqgS4CjDbMaSw5ZzLhyRX4Jamrk7q5AWFHjYwg0Vp5SosV0rd392YqhJJYtepfApcGcFcwmQlcLUxVgd8b+CXqhdzDHs6pbK7jN+/bh49nUibRbkbtHW0ldSGIqZ/lFZm/4j2ZCb5s0gmEz0nA9saY1430nJjDtJw1olXw8wCUINAKflhGLAFUr/5S6RGEWAT4E7Q+Te+DZlUXWolZkdzzQnNy5p9URWqFLrrI11KcQr1fyW4HzIjsRvl+PoEdiPp1UiKVDnj5RjaEihb5b3GcY3/0mi3oITitKZ3mgrqQRWIwdLd3d4V/slkMqacbCXxfWAbY8zrRlqOXA98YIxdirvmJHQ6x3b+DcOroxLq7D6eHlNizFk4ZxRwjHNMKXXHtInTyn2D7kUNdlNar1SFcsTLMTQOf5vfOVCrQb0L6n4pXGZP3FH0K0FH2RMmJ1RGzTOGBqu0MntnxPRD7Vu1uyIGay+KEkoHW4cpaWzWZgzEd4GdjbFrgf/mPaPSwSv1dgawfgRzCQWllXndHao6VEF1cIEYLFrpw42h9mRn8qEgzlUCDMLeLHilKpQrq7HrdDYDzolgLuvo9m65c7Q1uzctaSqZzURM33SprrMwvOgqo26MaDpRcxa2Fr9XMWi54pV6eymSrhUw6iWky3VPJ+okbpnjoqZhYsM/FMrVr0ijz9Ral600q9+ojDLVMde0q/ai7sXTB/sZj3MRkKjGzjL5BEmXrAS8xE02As4P4dxpRICk5yeUBuWNExofRvG8MXxeIfLoQaWEmeHPJ+q3qTeLHyuFc4AxxphXMWg5Mw87R7URnxoW5U2Sn2HkaCsdR1lKnXnPzasGTjOGn6ifUP9cFPOJmGHYzdi85DbLGS9xk40BM2UwINQLuLt3HwK6lPLXzTTKbVsXt+4byUxKkIzOmAbLw911lCWEHo+7K/07wGs5HGAKotjppBkxWioFL/n4acCoYE+rukBNcfyYzR2DxOx3NrJrddfJ+R7Md4Ml9V5qCBrXxUwrXanRlfWQBenES26z3OlEmk452ZDeTvaR0Di28RM0843h41rfah0dyYRifOHjkR8fjXJLWSuUqVhXKUzFTEfxbmhW7njJx18MjAjp/E5P42CgZK4xbem225A8/HVopU+PaDolRcuilh0VapxzTCkVcXq8Pgb0iaCzlNbVOyKNRJ1p3DeB0n28wGQodlTxfeCGLF9fLqSxa3iGIdehsmTCuAm/xbjuKqUuSj2aykvW2XeDZVDHoAMxCxqV1TW3UvCynr0amlUCtwMvGWPnY/TIKIC7cXfqzRYzTag205UpmcLYGBuVUW4lI827wz8e/vs+nl7OjMR2CrwJ3BrBXKKmE0kDc7IB4W0WTGW6kmlUm5qU+gy4yxj+ZmpBqmzz7/1Co79qDHSodhV109rxwK+AD0D/DPSpoHcDvQXo4aA3FiNFfxv0fKSPh7OR83+wPef9cR72ff4y7D5tlcDdwDPG2NnYWThlwXHquDTaXSup0XW142q/mc/xfL9oaq0PNYaWt49tNzeqlYBXfuIbgKlOVSlksHNYhwLT/Tm8+oWjU2/WjfAaJzQ+C5j5xGdc9cZVuSqgxBQBrYtbt9ZKH2QM/6xCpYwbsYs6LwG6IphLMXAX8C9j7FxE1StoJhmPS6rQOKESPzeGhtQma4+LZDIlhEa70sG00o8WUXr8SEQQ6BYkAvg20obgQ+BlZK9yLO4mh28Ah4DKNqXNK5NiCZIeVYlobMfJIGBmBHMJhfZE+y2Ywkuaxnzq4ILw8nzZeFyK8n1+cAl2UWcjlbtZALgXeMoY88ptDRdFszEytKumK+7qXIJo9OlIk9Ye0mmVrsSb42hs2cyXMPoPVRgae2MwGN+cJn2ediTglPl/HdSqvp5djNTX1T+NmX+vODWa2ZQGrYtbt1ZKuQxVjS4GtdR3yT26sRaJquwO6r0cXteAnXY5A2kWWan8H/CoMfY9bCXZsqC7XsvMZNn5yiVXHpLrsXw1WGa9PWtzNNs5x4KtX9F1oOfZP1aY/7vez9NfDGhiY4EzjLHngD8EdL5SwiwArsH2OIRKY13jg0orVxMvrfW5ccpDaTF3wdxajTY7CN9/yfhLlkUyoXXoA/u4Th1vPHFGH9epzb2OOgApbOnweiTSWcncj62ScxrulJd+0BMgF8+grkE82E5J2JI0GrXSv3QP8MWmJU1lucnygwwZdzqYonOIGlIE6fHq10gGyJFI4fvDwFLcaYsrgX8jUZYpwGhQF4tsd9Zshi1s8Qrwm/zmXVY04G6smMSubykbaqtrb8Cog8uQyTkdN6/Cl75IdCS+jHJ5N3UyGaic8Sggm+K/A7p/TJ7G3SHdL1LYjcnMBVqpPA48BDhTB7+LeG9yUR3xFa10C7gK8EfWJmqnUsYXkXJjVXLVcQq1sXNMa232kYiC7cnuOnV0H+M3IF7RbJkElvf774hnL0ai3393PK5Gcuqz6S9yBbAN6JuB34Mye0x1o5PAIYg62e6OX3yI3Uy3JNBa36pQs3HvG05GMgdibMz6lScuGH/ByojmYqDWAn/u/nGga0D5Ff3w6rfWSOw0Aalj+RPwNcfYcUjPqBc8X1HCTB0z9eOWRS0/00o7yyQOaV7avGvjuEYzTbdPfI2wqIQy61derd+yPpfwYTmwNfaN72+4ZS0rnUZs78IVEc0FgPa69ntQhsGkmNq0oGnjPl4SU2QojGJ7eGvi+ImVuEmfhe2MMiOblcwTwAPG2AnALlm+flckxeF90EtB/wn0rd3RsFuRDs//BR7EbayslfOokpRynTF+xn8xjF6l1Unz9fxkRFMqWmYtnjUW3NkmiqjVwbLBN2OlDklzcvIkEuGMEabjNt4Ucu0uV67FLInIcEEuB/AtwqK1Vi1LWg42hoMOf76HqELlyyt+TcRBE/FmYSCeB34HOJUivgHsjUS9QielUpmmRU2XKqWc6RrrJZKJBiKWX44ZmJYFLdtrtEtOXaFuPk4dl+7rNSHyAoVdpz7M4bk7AccYY/cRTCS5lGkADqPXaZdAGrsdleNxxnb/DMQC4Hugnsjx+MWF5hconIXkoxcuXngYlqe+slGoo4yBdFVtVSl2t8+XWUi6txOzgXal8ypwJ/Adx9gRwEHAYxHMJ1AaJjS81byk+W40JziGv9W6oHV6/aR6s7GvJ74ZLK1LWnfCkPBVSgXcf0W9TXEZA3sgG28nvyOiTXiRMx3pAO1cgy3IlzUSGsc3/r55SfMzCrVXz5hGnzVr8ay50ddBxPRL0vLmdakqdUskc7FQTxPeNaAVd+Q8Q8Q1YkXKy4jEqLOO6GvAF+nfuGtCVI4OR4zDge6hzwK/BG7JQVmpaGlva7+vdnDtcqQGQkjwHWKDxYVCudLBdEb/86LRFy2Paj4hsyPwLWPsz5ThJtwHLkGU2JzG3Sxgv2imEzBpribhMliq01Xps8kyrdS/lDBlbTQ72mrb/u711DKmGUOhiDKWqyuQN4HbjLEDATNKFxpKKZ0kaXqBBiVJFuIdjwmYec/Nq9Zodxqm5r4KTEfdD9lIO7kDeDGCuZQCM7H7o7T0/xL1KqgZoHYHhgP7ACcCFyFOmIuQeqVDgBGg9gJ1YzkYKwCp7VMdGu0qmlZaHTXngzlDo5pTsdH6VutohdrZOaaUqqRUqCbce0tNHF3pi6VIU1sn+4Irilk2NE5sfB5D9ERpNSX1WmpYNq/3z2DJWAbLP1OjU5XUGOgA5Cbl5DZEaSPGmxR2E80W3EZfqNSPr39Iocx6o+NaFrWUp8ejDFgxcsWR2NHdSpQyNvOfO4lFI/pjARL9cLI/ttHXB2qVRM/U7aCuBtXc/e/NoP5aqrUqA5HIJO4whoZ1re7KNZWubEl3pY/AfQ/TiapEpUSg9sLebP8Gu/9RTC9XYMtMN1NCzWVzQaOvMYaGDxo8KCuJdF/ekJROJbTS+7smpbWpM13umJ65DiIuJC8B3gJ+aox5pdWFS5rzcBeHKa303JROleUFpNRRWpkXu/8O/3h4JeWLgygSHWiM3QwsimAupUQKe7NgptXFOKifUP+UQi1xDSpXmkdFo1CHOR9r9L8qKNprOhzTiAJfTN+8D/zYGPNKqysLGusa78Ps6QQXZCPe4ctFuXZZ7c5I19R1KK1Mrfty5utIaoCTnwKLI5hLqTELMDv/egkXhEbDpIbXtNZmmHbXmiU1349kQjF9MmfhnFFIoaKTX1VYZ/sEtnNkLfI9iumf94D/Nca8hAtiulFKaa30Xcbw4U3vNI30fEEF0fp663pau/u7JVSiUpwnhwOTjbGfA69HMJdSowX42BjzEi4oeZRSWmnlMtA0um7h4oX/M9Br/fEipe36lfYh7ZVSaJ7ATrtYTbxZyJblwHXGmJc0dKgMqhk0XaPNC0hL9wY5pkjoSnSdiPTRWIfSyqyNKne+hS3Jez259W6pZJqBz4wxL2nomG50Qt9uDFWrTvVNzydXELpWf0kp5boeZchUgrS6QnoOOWmjvGV6/WQldn8mL2nosqBtcNutyN5vHSqhBlRj9cdgsQvun66g+pXvAjsbY9ciOvwx2TEHW7o1hd18MzSmjpn6McrttVaoEV2JrquimlOMJycZj//ZMKEhCLnyYqWn6aGTlch3KiY7VmBvFiYBp4Q/ldJg+tjp/8ZsC6DjtDCd0Wb907LpddMrIcJwLLCbMfYT4O0I5lKqXIvtZPJqvlnypEan1mi0uxxA88XWxa179fESwAeDpTuv31W/gqZS6leqgR8ZY58AZlFRTP98jnR4dTIWMBsBhkrH0o6fYBcLnjh70ezIlMxiemle2Lw7kr7Ti7KKqMud7wMTjbErsdMLYvrnGmwn02XA4AjmUhpo7jRGDrhyyZWbRjKXIuD0506vRvEl51iGTCWkgyWxs0w+J3aa5MpaJNrrZDPgnAjmEjhVquoGDNGlDJlz+3tNwQZL9bLqXRB5x96TJjOVUr8yBRhvjDUjRktMbtyA7Y25BFgvgrkAkJqc6kIzBSkcXEdSJW9ufb01snnFCCqhzKLEtnbazdz6cmYQMMMY+xDxbMbkxirszcJo4MwI5lISdCW7zO9aIk26YtXCxo0YtzewoXMsmUhWgsFyKrCtMeaVNREzMDdhC6U0Yuyxy4GL6y7+ADCvIcfNenvW5n29pmCDRaXVQcZQ++Dk4EqoXxmKvVl4H9l4x+ROG3bh8MbAeRHMZR2NExqf1Urf5BzT6LpMdcaMCMWESEqnEhrtMlgU6k+putTKqOYUAecCWxhjl2OLWMRkx/8iTSGdNALrRzCXomfmuJlLFMrd40dHrPAYIRptqoOtbFvS9kxU8wmJQdiNab3qUmOyoxM7xXdDYMD6jpIkwfXGSHWyI/mDvp9eIEpZBsvTU8dMXVvocUuA8wAz/H0ZtkRmTPbcgq0ochGGAl3YdNAxHXjHNaiY0rKk5TDvV8QETe3S2gMwNusZnTFTVMqZDYCLjbGlwM/Cn0rZ4CVFvxEwNYK5lAaK3xsjB6eWpDb0fG6ZY8oZK9TDqcmprr6eXyacBYwxxryUP2Oy59fAS8bY+dj7zZKncVzjv4AnXYOKM1NLUoO8nl+QwTJfz08qlFm/8lghxywRvCzeJUAlNqvzkzR2LuwGQH34U+klVZdaieZUpGNvD0prfcs1b18zIqp5VTR2ge9ng2oGPRDJXKJhGrYhfyl2I9aY3PgVdrPfCzEak8Z0k7EMluraTK0pM172NC1r2k6htnSOaXS5q4MNw743e/VWi8mNDHZt9FBgegRzCR5l9aAZVaNrjvV6akEGy6JFi3bRaLc3JVERBksDYG5UZyAeupjCmA+8YIz9EDv1JVQaJzQ+jN2vYXR7Z/vcKOZTycx7bl414JZQ1fyuQiK7IKmSZnHia4DZgTwmd9LYKS7DkGt+jEG3It+brkFVeWlhKmM0i9S6M9mRLHfxoYuwDfkUsdPED+4FnjLGvGqmS572pe33YGSwJHTifK/nFmSw6IQ2mwS11VbV/rOQY5YAmyEbaCevAL+JYC7liEaK7Z0M8hgLnfZB7dMwb87wnebFzZ7egJhgWDF8xWGY0QVlKRaVM5dii1HMwBCHiMmb3wHmfexMYEuP51Y8CvVHY+iIvlI6yhWt3XLGSqkn6repL+e0qI2AC4yxN4FK64EVJKaTpAbbmVLydKdNuqJyWundmpY2mc3YCzNYFOpA12OtnqoAL6eXLnYjEsaL8YcHwIrUfR9pKBkZqdGpNSqjTsXeGN7Y+lbr6CjmVIkopY43hj5sX9b+SCSTCZ+xgFmU+Cxgbhpj8kcDM40xr+LiGPBKCxtWS+1BUUwlCuYsnDNKody92DR/iWg6YTEDW4xiOlDuNTth8jjwkDH2XWD7COYSKNWd1fMQ4aV1KK3MwED+Bkt3/cp+zjGd0OUuZ+zVefRJ4P4I5lLumBGVKuy8ztBpmNjwD620qS+/UaYr89vuVKWYAEm9lqpRqK86xzT67goobu3hcuyGqg2466tiCuchwDSCT8GWb6142ia0PY3ZwyaD2UCxbOlKdB2IdHpfR6I6Uc5yxptj90h7HolMxvhLI+5rexJbGKTkuWjri5YrpdxZEppjWhe0ukoB8jZYFi1etJtZv6LRj+V7vBJhFhKWcxJ5qlKZ4mUIfgvYNYK5uOhY0/EjbBWPfT4Z/smsKOZTSQwaMmiyVTenuDui6YTN1sC3jbG/YG+sY/zBNAST2JKjFU9KpTKYnmDFl6OZTSQc5Hyg0W/Ub1n/XkRzCYPLsRuqmhvrGH/wMgS/AVjpUqVOmrRZD1ydSWZOdw7knxKm3F9SoK2DjnKuX9kR2TA7+TN26lKMf5ipdgoxGiMltX2qI0HieAzpRq30tOalzRVXcBommUzGfH9XdCzteNLzyeVHCxJp7EETpykFiVeq3THAFyKYS1GjUKYi1rZXLL2iLpLJhIlGAfsbo+WcabIVcJIx5pW6FOMfXql2LVFMJEhm1M14Efi7MXyGsx7OP4NF8Y9UXarN+8llQRPu98urODzGX7zEDL4ClrEcOvXj699QSp1uDCuVUbc0L2suOyWPYiClUwmllLuTtuLeCkkH2xP4H2PsHuzi8Bh/McUMFOJhjnFQ1Vn1IEYdZ5WuOjSi6YRGy8KW7YBNnGNKq3I2WGbjdppArKAXNF5iBgcAh0Qwl6AxJY43rqFmXc1qXgbLfD0/iWZf55iirL+kewFHGmO/Af4VwVwqDS+56MijLAANdQ13ATc5xzR6QzLMrzSVnDAYtHjQFxGVvnXojDYLfsuVZtx58l7yuzH+8xrSyM3Jl4EvRTCXouWirS9ajnLfD81GiuWITmiX8JDWurNqaJUpR1su7I4pJw9/wJbfjfGfFLZctHlPKHnal7X/HnjbOaboLb7Py2BZtHjRbkhDv17Ku2FkC/ZmIc5lDoclwC3G2L5IpCVyhqaHnoviedegZvdaXXtTHy+JyRe7v8OqjkTHw5HMJVwOAQ42xm4F/hPBXCoRr4acZbdZKBiNq9Bca31IuQuRaOU2WIBnp206bXUkkwmeJtxrPoPd6DkmGN7C7gO3B5RXz6PU5FSX0upG16Bm96YlTV+APA0Wjy/p2iHpIeWamnA4YPab+TnwegRzqVQuB9YYYy0UKMvtB+dOOrc9rdPf1OiPjV+d2Lyk2ewCHFMAGn2UMfRAmaeh9mCqwnRQJFHGCmEZcLMxthfwtQjmUrR4dHZff8XIFbtFMpkQmKfnVWPUMyUSiceimU3g7A+WkMLt2OIzMcExG/jMGGvCTtEraTK1mZsxJY4z6gzIc8OnUAe5Hmv19LmTzi3H7qYKWSRO2og3C2HzPvATY2xH4LgI5mJxyfhLliVU4nuYKimapqbFTeYmOyYPmhc2TwQmOseUVn+IaDphcjSwtzF2IxJ5jAmPyzFENpB7Q+ROk2Jh5Mcjn8ZwLCntbn1QTny0+KOdFcqllpVQCbNouFwwi7w7ibNMwmY5cJ0xtjXSm6VsmL7F9BXAfNeg4vimd5pG5nyx7e6/4qpfKeP+K8cCpofoJ3SHh1UAACAASURBVBg5djGh0Ax8YoxdDhRFykFDXcO9CmXWFCQU6vbZi2fvFMmkyomE1dchnanNmB7dcsNLc38VZagQUwJ8hF0QugO2zHTFMmWPKZ1KKzPTwlTQKhuSKulyJGj02g3GbvBKVPMJkKOALxpj84DFEcyl0pkDfGiMpbB7c5U0CZUw098G087JORssixYt2qVC+q8ksfMzP0cWTEz4rASuNsYmAadGMBdP6uvqZ2MX6K6XIPHArMWzxkYxpzLCLOB9rtsTU86cCGxnjF2D2aQvJiyuBMzUzyuwe3NVLFrpJ4yhfbXW5Vrr45a31jw/RU3pjGguQZHAVsVbjZ15EhMOq5DrkJOx2I08S5r6uvqnMUStlFKn5GyweNSvtA+qGvRMIZMrUk7F7mrsZd3GhMd1wAfG2I+AIRHMxUIppdtV+2nA08avRidJPjRn4ZxRUcyr1Em9lqrBlLI2CnzLkBpgpjG2AttojwmPT7E3C+OA08KfSnGSwEqJ2ujKZVduE8lkgkT6r+zpHFJKmdf9cuDbwM7G2PXY9+GY8LgBO8vnEmC9COYSGBrdE2V5E0WDTuuDczZYlFKmwfL01DFT1xY+vaJiELZkqFf+YEy4rEaKzJyMBs6KYC6epOpSbZlE5mjsC8qkrkTXvXM+mDM0inmVMtVDq/cFhjnHdNIq8C03zgDMfj7N2EWXMeEyF3jHGLsEiL/XAB08jdHkLp1Jl10dS9PSpq2B4c4xhZUOV+pUY2eZeGU6xIRLG3aq8MbAeRHMJTCqh1TfoVAHNo5v3LqxrrF1+qTpH+VksKR0KgHu/ital2X9ylnAGGNsFnbRZUz4eOXOTse4eUTJjHEz3tdJfbiHctiOXau7zBSfmAFIpBOudDCFWtmxpOPZqOYTAkORNe3kPWxZy5jwWYvtNNkM+KHHcyuO+m3qP1davewcU6g9oppPgLjTwRRdbWvbXohoLkHxA2CCMdaCnRYZEz63YCvVXgSMjGAugTBt02mrG8Y3PO4cy8lgqV5avRPGG1KGXV2HAaYc7VvATyOYS4xNB3ZO7XDgggjm0ifTx07/d5LkEUhUCGA1GY5qnNBYzhvtYEhYHX0fLvPu9hdgdM9GPJ2mtHdMNPwMWGSM1QMjIphL0aGVfs75WOnyM1g8/qZXU9unVkUymWAYjO00eR9beCImGtLY0a8NsPeuZUVO+s1Jkgdqt3JrR/uQ9mLI21RI4dFW3T9bIIbHUOSL9ykSHVkNvAm80f2vV3rFRYBZa5DCbhwWEx23A9OA7R1jFyC5nT0FybX0roetgfURw2Yo0vBqNbIuViBr4XUkcuNb0WT9+PpnWha1HI/idq30NxonNj7m17ErhdbXW9fL6Iwrh1or/VBU8xmAofSut62Qa9AGyNprR9bc58gafR1Zd0uRm08Pw4GpxnEXAL8MbtoxOdKJ1M7d7hjbELl3mJu8TYBtkPUwDlkjQ5F18SlSRLsaWQdvIOvio8BmHgaK553bBK30DnMXzK0ts9YHLuVHrd1GWsSMoffetyW9a249RGmzZ80tovc6ZCpwng9sboxdQew0KSbmAxfjVrL9IXbaag0SKdu6+2c4cr0aiuydVyOf/0p698cLKcI9b04Gi87oA43evs+kRqeiWsBb0dvU8UByTwnSwGvAI8CjwF+Q4m3TU/8mcFtBM43xmzRSkPw7x9gwxGB5HVkTe5F7Q6W1wFPIengIeAazt0qONExouD+1JFWXqkutLOQ4lYqu1V9Euz9HjX68r+eHTC3Sgf5LyJrbhdz7cnwO/B25Dv0FOAn7WjYTHw3pGF+4EzFQdnGMnY9sInahd01skcexlyHXoEeBByg1AybN88a3oGZtYu2OQDFt6vPmmrevGdze1T7ReWdQyp0GFzLjgCOQ9XYQUs+QK2/Qu+aeQta2k6VIw+yY4kEj9XN/dowN6h77FXAosib2JnfZ4w5k//MI8DDwJOLojZSs5Qa11qplScuHwEbrxtCzpo+fbirZBMlwRLXiRMwc0sL5HCmUNmsMjgHu8flcMf7wFHZTPT9ZhBirvyJu1BcJzYubZwEzHEPLG+oaRimlCjIkC+QLwMnA8fifBpTBbfS8DOxKEdwsYiy+BvzRGNPkcF/Ngk7gQeQa9EdkI1HUpF5L1dQOrv0MxyZJKXVGQ13DvAin5RvNi5r3RPEn55hW+sDpddPNmoIgWQ9pnHwS0uvGzzXXhe3s+y62ZH9McfAopoqm/7yNfP63YtfOhEbW3sDWxa074DBWINT6lVFIWtYSpHGj38YKyAXANFZewO3Fjyke9qXA6EcWTEDW3ULgPmD3gM8XY+NqPKeUejxCY2U/4K+IbPWZBFOzYF6T5xIbK8XKI9iODL97jlQjhtHdSC1lPUUi494Xqe1THShedY5prc0GzCWLVtqdDoZe27G0Y2FIpx+J3JOWIrVUB+D/mjONlfeJ90HFzC9COMcYoAH4N7IXCtJR3CfZp8woy4LrrBpa9ZSvs7EZhsgLn0v2Ia1PkJD6ciTfsh3JIR+KGD51ZN8dfSMk5ePh7KccEzDbIoV/B2f5fI14B95DcndXIpvC9bt/xiAqP/2RAL4KHIlsHC7EljaN8Zm5C+bWrmb1Xs4xnbEa04XB3siay7Z4OI1cgz5A8oNXItecYUiUeCyG86cfftp93hnE6jzFQhKRnb6M7FV51iAR2xXImlhDb23BSMQ5MniAY2yCqDRNRWplbiF4p01eKK1e1Ging2f7Pp9cYiildjTSwV4LQQSkFjFWLyZ7Ce3PEIO6Z821IY7ZoUja2Hiya3q6GZI+fyHw+5xmHRMk44Brga/n8Jp3kb3L50gNnUbqWYYhNUumOq6JQvZCXwXuR9JgwzLWszdYNEbDSMWz0zadtrqPp/vB0Ujfk/7ewC7E2/kI8DfgFQbO961GjJYvIHnGB/dzji2RWoa7kJvE+1nOPcZ/hiC5/BfSv8H5CRIifQTJu3wDqU3pj/WRwtj9kTVxIN43BYWE4b+CeLmux+g5EOMfqxOrd0Jyctfh0ZguSIYDrcD36T8a/QGy3h5BrkcLGDh1ZwQS0T0IyTPeF2+nTBWyOf4mslm5lSLdpFYIeyBG5EDR1pfpXRMvIU6T/j43hdxveupfDqbvTf4oxLv+fSTS91KWcw8NrfVrht9/h4im4j/aaqQY9Pt/KFKfOamf52SAZ5F732PdcxqouWMS2fTuSe+aM3s/9VCHRFn+jBR2m60FYsKjGhEdmkH/0dbPkbXwCPAEkso1kJLdUKQwfz9kTRyECIR4cSSyZlqRHmGBF+lnFUrsrl/5AKd6lqK5sa7RVETxgyGIN/N7/TznJUQ15056VaHyRSEfzolITvr6fTzvIyRv/YECzxeTO9shxax93cC7kDDlr5ALaqF53kOBbyD5wYfQ9/fk70hNVRxtCYCWRS1naqVvdAy1j/h4xHpT9pgSRgH6vsj1pS9nxlrgt0iN018pPG1rOHL9OQnYp5/n/R7ZqJqqPjHBohCDcRZ9O/reQq5BtyFiLYWyHXJfOhFbsamH9u55/ZgiMmSbFzd/GXA1d01Xp7e4ZMwl70Y0JV9I6VRN7dLaxehep1lGZy6YMWHGHQGcrgaJqJ1P3/eg1xEnxu34cx/aE1lv36bv6OFnwBTEkRsTLuOQ972vsogM8r27DfgDAztrB2IQEk05CXHUJvt43r+Q+9eCAs/XL1nVsLQubN0OQ+pXEUj9yjaIMkFfxspjwGGIF+o6CjdWQC7yfwdOR1I1ZiLpZCYbIyGwZnJXAorJn5MQz5GXsdKGNNObhETk/oA/RamrkRvAl4GdgTtwS8/2sD/yRT3M43cxhaIsL/bLIRkr05BrjZex8hmyiahD1uZD+FNj8gniuf8iYizdj/cG9BtIbV3Z9bYoYkYgn0cL3sbKfxBn1kTk/uGHsQKSL96IeL1Pwzv1ohaJ9N5D38620ElXp18zx5KdyZJPCxu8ZHCd01gBSKqk9bf6wJbIvuQCvI2VZ5BUoO2QdemX0+xZJAV/LJLN8J7Hc9ZHnDk/JbuUshh/OAq59nsZK52I4boDYljcSeHGCsge67fd594GUYrz2mPtiqgAHuvDOfskq423ThjpYNCl2tU/fJ7LnsDjeG9MFyHhp8mI9GdQrEQ8aOOQMJeZ7qOQwqN7MFJVYgKhHomkeYU9/4TUs5yFFCAGxSvAd5B1+VeP32+EbGZ+EOAcKhKNdm3KzYZ0AZBEDOArsTemGvFaTUQ2kX44S/riH4hX6wBk/ZmMQwyqrwQ4hxhhMyTN5giP361EvN87IpGVoIzpDmSjsG33+bz6h30DSYHtKxITKpeMueRdjXbXXOnSr2PRWk80h5JDkn7n8G+HpPDs5fG79xHj+AvAvQQXVVsNXINc7y5DNq4mUxAFu6IxlMuYU5F9p1f7jr8hTvxTEOdJUCxEHCfb4ZZS7mF94DdIxDcQsjNYlGWwPF+/Tf3nPs7jcOSmYOqHZxDDYQe836CgWI0YJnvgvWH4evd81gtxTpWEQtSRWrC9Sx8i1v7XCNZQMXkDySU+DTsPNAnMI8AvaqWRWpIahKnap3k+wFPWIKH2Mzx+txiJpp1EuD0xnkCagjVib4aHIhHF74Q4n0pja6QmaSeP393T/fvr8Y6+BkFX9/m2RZwkJjsgm5e+6hBCRaH+7XqsVMkbLGnSLoNFK/2+z7W8+yCRFa/o7v8ia+5XPp5vINYi9Zo7Id8Fk8lIjUQ+vV9isuNSRGDDdKJ9iqTvHYREY8OiJ4BwHLYQjEL27K1BnDgrg0Wh9nMNaB7zcQ77IBd/s8h5OeJlbMDbug+DlxAvx1yP301GPBy5NuSJGZgrkcI+k78hocf7wp3OOjTi6dwDu9Cy54tqNh6NyYPBevBOGOIKKqFeCOh0CWQTcIzH7/6AfN5PBnTugehCDPd9sQtdq5E0AK95xxTGFkgu+JbGeDsS5TgWcZ5EwXuIw+Z87PSMCYiq5UDKh4GjUC5vr0ZvFdVc/EIpNcH1WKtFPh5+R8QQNeXSPwNOQLIJ/HQU58ICxGlzGXYK7O7Imtsw7ElVAPXIe27SkxZ8e7jTcXE3EtnxujdeDFzu9wkHNFhaF7duDYx2jvnYabrnC2qm/CxCpESLocC9DTgPOAf7izoZ8cr2VYgUkzv12F12QTaUh+CdUxs2byC1Bl5ezqsRT3xMAaRJ72gMdbSvbg8iVxzkMzveY7wVSbUphgL3Z5G0WVNKPok09Do09BmVLyOR1OOxxvhK5H2+nugL3HX3PA7HThGrQ+bvlT4SGhmVMVOlzHSqkkNp5f4blG+SruMRA9n8zN5DRIGKocC9C4m2nIhtKO+EqIjFDlz/+C5SM21yL7ImQpMT7oe3ETUxL9GJmYhTxTcGNFjSpA8whzoyHX70QujJ/Te/oM8gxoqfngs/uAFRzjC/qF9HvsQxhXMU3l/QZiQ/s5gkhNcgm9nbjHEF3ERcFF0QCZ0wZVDfSG2fCqLL99nYF9VM93hDAOcrhI8RIYiHjPEaJHfY3GDH5E4SKTLd1hh/D/EwhymrnQ2PIhsGM9qzA+J99bupYNYopUzFoM1aX28t6TRqrbQrwqK19mOfMhSpyTSjYv9B9kJeaelRcgcS4TNT4SbjnY0Skzv7IQ0hze/vTYjEvR8F9X7RgRix13v87mrE0ewLAxosCnWAMfBialLKq+gvFxSiI2/mab6KFDd6qXQVA79BCt7MSMt0ZCMRkz9jkDxN8wv6E+T9jdqj6UUnYkjNN8ZrkbXSl355zABkVMad7250zvaJnYA5HuMXATd6jBcDq4D/wd44D0dC9LFqT2H8CKwmySuQyEoQa9APnkc2BSuN8a8gineRkOnKWBKnXbVdE7yeWwpc9d5VGymUK+1JJ7QfXu4bsA3ktxH1ybd9OH4Q/AVxMJq9N05HIgMx+TMCcTaYNSu/RvouhVUzlwsZxPFnGqwJZN6jrVfkQTY1LPsbj/1IB7sAuek6WYZ8QYu9m/Nd2HUKPTnwceFZfiSRDb6p+34bIrFYzGSQFLBHjPHxSCF+TB4ojAJdjd/pYEORFAazu3gT0j24mFmLbBZMz+uewBXhT6dsmIw0Y3OyBqmlDLOoNR9eQaTdzQ3kbPru2RAog2sHL8Jw7lkpVSVE29q2ceZYMp0sNMJyIuIEdfIR0pCvWI2VHh5B1KtMZ+KNFInwQ4lyK3a0/H7EOeqHhH6QTEVq0p2MQvbHBUd7++10P2vhrDGYb5wqOCQ+BrsYpxP4FsHVJygkr9dkDQN3g/ViLqLe47zQbILkvPfX8DLGmzOwm+W9jMgm5htZ2RwJp2+NrOHh3T+diLrGh0jh/D+h4M1wO1KE+wLu78vxiNHlVesS0wfNy5qHk3Z7ZJRSfnu3L0UKlJ08gOTdFsIYRN1sJDAMiYisRHpz+JlzvBLZoD6HO5I3FdHgf9HHc1UCNchGy3TinY23OlI2VCMiIbshUtRjEGXJwci6+BQRUngeKVw1IyS58ihS7OpMzagCbu6eQ6gptVPHTF3bvLj5XRyZFEqr/rq1FzVViarNtXbcjhTptmVthexZRiApM04yiPJfkA34xmGv83Ygn6aedyJry1l3uh7yXTo8n8lVOMciDhIni5A1Ucj3dwSSUbAJcr9oQ2oz30Iix35FbdLIvnhb3CqfByPGeUEKd/0aLFWqan/t3i9q3akLrV+Zi60IdiH53xSyYQoiCWhyH+KpzIezEY+m80M5BbGOg2iqWa5sgu0VXoVI5uWSp1mNqKjsjRTEm+o+/fEKsj5uIv8v7seI0f04bnWr65H+LVEp3ZUcqkttr5XbTtVp7WeEZTvsKOm7SKQsVw/WFkjqzWHAgfTdHRrESP4zcjN/NsfzeLEQ6f/jTEmsQtIo96c40yiLlYuRxmhO7kL6QOXCrsh1YB+kjs2M4PVFGxLxa6GwmoW5yDo82jG2I3JtDL2+QGm1UCvda7Ao5eU4LAkyZEYrt5P4w9TkVCGbyBbsrIzZ2DVqfvI14I8e409jOw2zpbH7tfs6xg5D6nv/kOcxK5H1kN43TjqRFLtPczzWhshncDhS49bffuhzZM/6U8RpV2gUZzWyf3sGt6DWHGTPnbeITb8pYRptNi56Y/qk6YX0IZiMLGInf0NusEGxOd6F3IWyGommOD9cBVwVwLnKmcuwhRfqESWuXBgKXIdsFnIxVkBu6Dci0RZz05ILT2MXnk2g+NPaioqMymxtDK2dMGHCEh9PcRWGZDIS5culdu4kxBBdhqT+HU3/xgpIaPwU5EL+e8RYL5S7u3+c7IvcMGKyYxNk0+Xkfbx78gzEMYjxsz/ZGysgjYi/jURbriDLlgN9MAU7tfpyIpCd1Uq/5Xqs9RZhz8EvtNbuovhMQRkhOwHfN8ZeIQApWAcb4u24LZQuZC9kpiNezQBO8RgX0xAHmJMmcnPmH4w4sN5HHC6nMPB+aD0kqvMnxJFmKnTmw2vYcsyjkHrkvOn/oqisTqv/LORkwCXG4y5kMxekJ/BmgrtQ/xPpy+FkD7y7IsfYbIadv/s80dV+7I4Y0F6N4rLlR8gm1smF2NLdMX3gkTay6Dh1nF8h612wUxX+gFysc+EmxHOV78by60hKoh/N9M7Dlra9lMI2vZXEVOzv54Xk7tX0g2rkPnkL+X9+y7ENsA3w7m0VNO+4HinPhoglQYKEy2DRShdisEzH/flq5PMJMm3vesSBGwRvYjtrxxM3ts2W9ZHWGU4WIVG4XLgMSSsblOc8dkOMFrPGPB+uwY4Wn0kBtd59XhDnPTevGrm5r0OhCklj2Bu5wTu5EalVCIqTcRsPQRQsTcdu5mQaZjHeTMP+Yp1H4fmUnyKa9pchdSS7IjVMI5B86j0QL+RD2MbyKMRjne8Xfg325z8KSd2JyQKVMAwW7Ws+90zcxX+dyIbVD7oQb9hcZA1MQXK7f465cRM2QdZgoZu495Fmq062I/9010piOHITdfIPJDe/EDTwOiJNeg6iMrYV4qTZCJiE3Jta8a7dPBlJO86Xn2E3tz0PqasKD+Ve9wpVshEWlKV09H6eR9oKu9nrXQSbSn4E7v5gQeyFZmO/J43Efeqy4SzsTJNp+JNKrpGIx02IQ/VsJCX6Orzrd3tUTg8s8LxdSLTZyVDkOpQXfRosyzdaviNGSLtAg8VMi+nAW1LULzbDnQ/4OMHomS/HDrN+EfHWx/TNEOyQ+KPk31G8CwlBH4Sk5hyO9MeZjxQgL0VyJ99Bojg3IVLUh2CnAm2F7e3Ihbuw+wj9kAh7IpQSWuugmrONwU5JvQMoJN0sgxjHJyCR3H2QC/JsZI1dDZyGeBvPwO5dsBn+qJL9BLtoO05FHJhTkJQIJ7MLON5LiAG0JVJ4+j1EtvZhpJD6A0QmeSHwINLrZyu8o8qzPeaWLRkkncTJSEL2eKuMcildafSGpdqLRWvtFgLRKl+D5Szcm3iN/Vn5yfq419crBGMcrcWuwdiauOXDQCSwnROvUnj9z/PIvmMTpC/TFCTl8EbEWLmge/wr2Ip0tcj9q9BGoA9i12ueQZ7y+30aLAmdMBvfdaxVa/ONhqyPHWL6Fd5eR7+4AfGog+RWnkFwknDXYFvCJwZ0rnLh68i6cJJr+NPJKsSb/Tdyi9A8gnxhzdd8u4C5dCGeUycTEEM2ph+01gpTvcs/g+W72GkY+a65LqQgeyvEOL4L2xhx0olsGr6ErFUn3wR2znMePXyKXPOcHEju9VyVxknG45eQwtN8mY8Ur+Zyb1uN3J/MqE5Pbnm+/Ba7FjDc+5Ky34d0bTqotKTAOHb+sUml1CjnmE7klRJWjTg3nNxHsD1+rqI3iptB1loQTXhB1r5ZPxXvhfrnS9i1K63kXyrxF2SvsQfiyBqo7vwBYC9EsdDJVvjj4PBynORVNtGnwaK1dufxK15J1aXyDU8di50jfHOex8qGE5Au5D1cjnSNDYr/Ihcdcw5mYW9ML+ZGYRnBqqP0x7PY3oxdya1o1uQO7I1p3FBrAGa/M3s0hopgRtkN6PLEXHOPI2k7+bAT0oMg1z4Mz+CdMvoNj7FcuRm3UyZBnEPeH9tjpD0j72FU6mpe6yJf5SaQtXCLMbYvshEJhUxNxjJYkjpZcnUsu+ywyyi0VUCeT4TlcCRF2EmQe6HJSIS3h7lIymNQrMI2vL9O3ES5P8z70qfYvUxyOdZhwFM5vu6D7tea176jPZ6bK3/C/q7kZcT2abAo1A6ugUxB6VRmdOVN5MYdBBsh4a4eXiHY1LMeTH3pURR2syln1sOuZ7qVaGVYH/MY28xjLFtWIzKlTr5BnBbWL4nOhNVwTHf50k16G2wFuNsKOJ7pjcqFm5FaJyd+NPdbBlafLD+KJ8uVbxqPO5Dc7ahYjC3YUcg1CKRjthk9LiRqkxPTt5i+AmOtp3W65OpYqodUW59DJp3JJ8Jifh8/RFJKg2AIcq3puee8ReF9prLB3AsNRmq4YmyS2N/HO8mtpYOTQu5LTyJ9vZz4cV/qQhy4To4gj3Sz/lRIXOo1WuXdByEJHGCM3ZXnsbLhJ/R6MDJI3l5ngOfr4UFsVRlzUx4j7I8dfZrv9cQQyVsbvB/Mv2kTJK89pg+UVmYKU2fXhK58GpqZTDYed5G/F6tQ1mA3dtzUp2Oba253Yu9mXxxkPP4ruUlbB0GhzSNN3gPM3mlh35fchfeq9ArvM+mMabBkNp6wcT5Np83r0O8Ibn/Sgju99hzsqH8QPINdFxjvhbzZFbvYPsq9kBl9G4k/mULm3zQEEeLKCU+D5colV26KRCrWUUCnaa8b5l/zPNZAfA1RherhOnIPjeVLF5Ji4sS8OMUI5vvyX+DfUUzEgakA04G3ek8uPI59M4ov3P2gUGa6yLsplfKj9sxcc8/j/+YwF8xz+5U++ojxuArbYRQjKoBmBDyo+1K2KOyIihlxyYdHjccHEGa6sl3HUnIGC8rdY0mjV05RU3I1NLZExDecBLXm9sFdyH07dtp6kJjXoXgv5I25H2gjvD2rF6bTXeFPLx2v+23Oa8LTYEln0jtYY+l0vhEWs5fLGgrv5+KF2RRpGSLhFibml3RP4l4IXphhxkeIviu3KQH7JIVLCn6OrZDhR4i1bMmojLmZMdVL8sV83x/z6bj5YkaSCjWOe3gdMCNS8Zqz2Rlbutzc2IfN3tj1DX5saM1jrEdhDXJzQxvfYV2CvViU2wuulDILy7PB9ChrgrkO1SJS6j17jxVIX6EwMfdC2xBB49ISwNwf+7HvKATzu/kJ+aenOUljO/T9ibCohDKbmX02Y8KMfBW9zK7Vr2J3RPUDsynSFMIJfzp53ng8mFilxwtzTZjvW9h8D9jPGLvO64l58ILxOLSC11LE6tPgoTKUB4Oxvbpmrm6YbIL3ddEv4jU3MOb730kwsvfZMgwpiHbyb/ypb3gBWyHT/PuDxGweWXIRlkwmM8I1oPNKITbf82UEk4I4C3fq8flIrUyYeN3T4+uQTTHthRSSru/Ez/uS+bflvB68vf/a6L6seFUpla8H3PxATJlFPzCbIt1GcIVs/eH1t8VfUjcbYnsRg1gT2bAhIrl3kzH+a+CPPp3D/NvC3CiUHEq7U8LMPg55shX2tS6qNQfS+8NMyfFrvUG85rLBfE8WEU6toxf7InLszlYCbUifKj/SIddgR93Cuy+VR0qYWWfgh8ESxDVoL6S/Rg+PIPezsFmM/X2K90JuEsBEYyzK+9Jk7Pn4mUZo/m1jybFBt2dumkbvYAwUYmWNMx772bUa7KZIK5B+HFHwIZKn5wx91kU0l2JlnMeY32uih/GIpLYTRW8jpf2xlSpuxd+u9G8ajzdA+gPlk1JQ9milg4iwjDNPA771dsmVTYF6Y+xVbHWvQjDXXHwNshlnPDbfMz85ATvSPhj5XPbG3sgt737N0z7O4Q3c6R6hrQmVUW9rt79z+JwP5gydtum0/voWFReaEU598jAovgAAIABJREFUR43Ox2AZZzz2e83VIKlgPU0p1yD3sijSrTuRwnvn2o6vQ242xd6wB7UXGogqpF+Pk1XYim+FYK73BGK0ZG2kWQaL1lq1LGnZzjWWv0IY2M0B/Q6BzsF9IT6P8MOfTlbgNljMv7/S8Xo/glLm2YbsGwM+hURb/uTzHLz+tvWIDRaLuQvm1q5m9cbOMZ3Qfhgs5ppbjT95ufnwE2xVmAZya3Y6EOaaG4bcHIJqnFuKBH1fcvIDsisw/RxpRtpMfj0++mOF8Ti0+5JC/Vcbe+b2Ne0b0X+j1aJCJdRw15+QX0qY+Z6bn0mhzEQccT1cQmEyt4US2ZorEcLcCw3ENESxzMlViCCSX/S1F8oaKyWsdXHrGAxVL50pyGAxJ/R5AccymYzbG/4g0YQ/nXxmPM7pA6kAvN4PP9dEPjyEGDaFdLjuC6+/Lb5we9BG2xYYfWoS6YQfKWHmmgu7tq2Hadi9P+YD9/t8HnPNKcRoiemlWNaE8/zXIrWYfhsrEOF9qSPZYW3Mk5nkRl7PLWLcToZEXgZLkHuhnXFHbp/FrokKm3gv1D/Fshc6FGmu7uQ14Eqfz1PwXsgyWDJkLIUwVN4pYQq7W7jZMC1fzKZIa3DL+EWF6TWKNwpuhhiPuxAJ4Sg5FLgXUVg63Odje22EhnqMVTxdVV1WbrtKKD8iLOaai8KzewTiOXeyFBEH8RuvNRdfh9yYa8Kv+1K+DAMuRdIjfomkjfpJZPelmrYa27OacMsEFztaaz9qWIJac1VIKlhPXVwXcl3xM2qbD/FeqH/M9QDhX4cmIn0RndlWa4Fv4X8WQsF7ISslLJFITNLaFb5dMWP8jHzDQhpRBHPm6eVUZNMPZlOk6UQb/uzBNNCiSj0pVkyFuKrun64AzvUM7g67CSR6uCkS/jwStwDARODPQCPQ6tMczPUA8ZrwJKETY4zUkY4149b4kd5prjm/rkHZsi8SSUk6xlYBxxFMLxivNRf1hrzYMKVDc+66nAPTcHvohyCexUmIOuFB9DoPk8DJ3WOTsRvw5Utk96X6beo/b17c3I7jPVZalUyEJaVTCbVUbeBDSpi55vy6DjUi/e56aAX+5dOxCyHeC/WPl1pumPemLYC/4HaOaOAM/FUH66HgvZBXDYursZFGL8pxUiarcH8IfljZZlOkZ5Dc8GIgyLBvOeD1fgwjmI3bcuDhfn5fA5yKXOB70iAVYgy/gz/phcUS9i1+NFs4E8IUyq+mkeb7HWZqwq6I0orzuteBiEGYPXr8wuvvizrlqdgw348g18RAUqXjERn1rznGxiJKl7viT0TQ/PvMdJ2g+RhHU8xMIlMyBgtLWR/tcjaQSCbyqUE015wfe6FtEGdtD28issbFQNRrrtjpay8UBqMQY8UUQrgYfwvtnRS8F/KSNXb9AQpVqIfHXKRmaDVXzKZIxRL+7MFsjhRvTt14vR+Frol86UAU5vbHLgj7MUYtV554/W3xmvDAbBqp8aXgHuz3exjhdPreCamPcq6BTuAYpN4uKMw1t4ZgIpiljN/3pUJYjDSuvcYYn4QUUvuB+feFbcC6r6+Z0kkJS6qktTbSnel8HGx+r7kEshfqcQhr4EyibTzoxNwLxU4TN1HthTZC5K63NcZnYiuF+UnBe6EBDRatdKEGi7npmOD5rOy5Avcb3Qy8WOAx/WID7B4jb0UxkSLGaxNa6JoolFeAc4yx4Ui/jEIxdc3X4r86TFkQUNNIsNdcAm95bT/ZGvFgOTdmGSTdx09tey/MNeeHcEG54fd9yQ+mIdkCTqbgnUqRK+aaCPu+5L7mqdIxWBIdCctxVTWoKh+Dxe81dyHwRcfjm7A7zEdFAokcOon3Qm4+wHYkBX0d2gBxlpnN4a8j+MiceQ0C7/1gn3j1YRnnfOBDhOVN4ADH40KbmJ3s+P/q7uObvTb6wrT4R3u89hWk+DofvBojRdkIqBj5ALtXzdb0n7oVBvOxJbK/jKj2FIK53t8klpftC7exr3nPp+N6fQe3JjjN+62AR5F+Pz1kgNOAOwM6p5MwGtSVOmZPgJ7molF+NzPI9caZiroh8AXgsQKOW41toIe6JhRqubM+TVE6NSyqVg018zdqOmvyiRaYa67QvZCzWXYXknqY7V5oU+PxSI/Xvgm8lN/UGINdVB5fh9x0IMIrzo18kE1+10ecaLsb4zcAUwM8bw/m3/YeOaYJugyWpgVNG2Pk0CV0olCDxVykO+LfjWEo0tU+X3ZHNqpOpmOr+WTLTsbjnuZJMW7eRDry9rBLVBNxoIEnEXWMHrbr47m5YK6JIBvUlTquHixKK7806VcievJOA2IX/O+5AxKhfhhHvj6yts4CfhHA+byI19zAmPelIcjGIer36nGPse0pzGDZHjsFMtS/M6MzK5RyKZaXTIRFpZWlZDRk3JB86orMNTcB2W/5kSpVhURY8mUS9l7oWvLfyO7sMRb1d6sYeR23weL1vvnBUERQaC9j/Cbgh4TTXLTg+5IrJSyZTFqdSFVaFaq89YLxeDjFsUENgi8Zj19FjJYYN+aa+H/2zjxMjqJs4L/qnd3NRUJCALkTIJzKDSIgt8DHJSiHKARFAQVEULmUY1EuERFQVFQ8EAU/UD5BELkV5FBOBQTCESJyBQgJIcke0/X98c6w3VW9uzN9z2z9nmeepHtmu2t2q6ve+22kqVoezDWOTY9cs3QhFaKCmN/dMUhIiNFKp9lEK485twpwO2EvnQaORXKl8mAlbEuWm3M2j2HnPZZhHTLXIEieS2d+r16kz0JuKBU2PrSShwUvXHpVa91/pDoyzr5uPoedSJW4dsScc/+l2IbeZcWs5rYd4WqSaTAOCUM2ZZFfIjlPeSgrYM+JpvelkMLiK99UWKqL+hYljX++FzsJzBTs2wGF/QcpSzxp2bjTOF4DWLWIgRiYCkrSbvRbYtcZd3Migp47eyqYv38v1Vwfc859iHRLSK5cu4e5hp5CvhUMzbVVY393h3jdzA2zDPtSVGJqnBK6QczvdT95l5jV4WdZo1tGYVG+4WFRsau2PYHdObwMcy4LzO/l9r1ozN/L0tgd55MwFrgeWzb9X+Cz5BcCuy6SghGk6TkRCglTvpquVUjZ+m/P+j1Jm/otAe4j/Avbl/jVCM4iuuFOIxxL+Jf2b0TLDPKXmNfeinAYCLiHdCjuQgSpYIzAx5DEryIxPX9x+w/V+ZhxPJ+RS5yOSsavMn7KAAOhmBHlqywVlrFIM8frUrj28khssJkw+XXS6+fTKOacexLJG3PY3AlsHjjeDdlbiuxZExV9kOTvNxHYyTiX+76klHrT6LHUMgoLivHBoStUXIVFI3vfgYFz+yId6uNYuS8i/u/xMMI5t3OAHxifiVt2fU0k9D+Ik4WiuQ8xHgQLa+wLPJjCtbuAa7Cf/2uBT5FvZd2PG8cDwN3NXiSksGilTetgWvkXNxJWWD6ExEzGSXr9XoJxHEhYYXmW9ASKg43jhcRXftqd15FqOB8MnJtJsQrLptiL7P0JrlcBDjLO3Ux5ym+XCr/iL2PaevwOP+2QsJcJP/8zSa6wLEd0icjTgXMSXrtZlgF2N87dmPMYWokbkb4DdSYCHyWfwghDcahxrLErhzXD/thVxnKfE7723zByWMZ8+9Vvjz/hfSek0WMmU3zlj1d6cOwanSTn5EbCCsuaiDx0b4xrXZ5gHDsQVlheJj1Z6BDCxsgq2ZZxb2V6kZzHYA+mQ5ASw0m8H12IYrKHcf464JPkX+belI//Soy+PKGQMI2hsOjUFJbfEBbUFNKwr10YT3gRAvg96TT8alfMYgkbEz+3SY38kWGZQHTC4h8SXHMP7BLXVya4XltT9auWpVBXdZoeFh+7EejuhBPxm2VZRFkxizNcgJRfz5tPIRtVEDfnhuZupEpPkMMSXC+qTUAz7I29jzyIxP/Hxfw+T1KElzcivLP6brUlEu893zMjOpLs69dhJ9knmXNlo0K4ehlILyrn5R0ac41eBdg5wfU6Ec/KXsb5mxEjat551Vtj51XG2pdCC6xCTQsde4lLGtd5Bbts7VEkT2ouC5/Hjj1OUr1sNHAVUtYvyEkxrzUFcV/vQ/MJazOQBXUT4/x9RFfsaZQTjePXkc7Vjijsvgx66ltTk+YQmZjhn13A8TGvNRVJsDfr2X8X6aeRN53YFX0eQcq0O6LR2BvnzsBmMa93GnAJzefjecARSFy5aXxJYvXejnCfDihoX+rQHXbfEj+y83Xp0EqHKqcmCAkDUVZMr+7BSLGMduAg7BLaThYanuuRnLogcWWhDuT3vbdx/hYk1Kw35nWTcLJxvBgx6DeN2Ycl9ND4+C/GuegQ/BDYNXA8CalQELeEcFkYgzRwCvIMLtF1JN5CXJafDJzbHziDeOUPN0M2gteB/0OEyceQsD8zDGvF2ucPqN3TtEr3AUcTv3rGztiCwuW4inFDorRVNWjBkZvFqsQzHE8gpauD1VKOAs6nuQILExEl1wwhvAXx4ph17hvlUeKHDM4EVjPO5VWZrJW5HBEOgmV/T8GOuW6EMUiJ0KORcNI/IIaUx7DnVxfimdsRaVBrziWQMqS/izGOOl83jpdgK+250N/Zv7CjP2xLUhXVEgoL2iqckjRy4kdI2E+dbkSGyKMXRpZ4yLMT5DXSyRNsZ5YAvwCOC5zbEQkVvK/Ja12F3U9nFvANbONaozxDkx3pA2yEHZb2aySft2neU1h6XuhZGh1OZldavRLnokNwPWLtCy7MJyN/qDTvkzcnYCfbn4vLVWiEs5G+J3VPXwdiUdw3wTWXQ6yVR9SOfeTheBvZGJaqvYaiD3ngzXKDjdKBCMBBFlF8QYFyo1jGUA/TDAcLcg7hGP6lgB6kIEejrEl0+OIutVdcJhJvY1gKONM49woFCactxmwkZDmYO7IvsD3xe594iMEiaLRYjKxDi5DIgqWwe6MEuZdwT6hm2QX4iHHucgraaweWDLzT0RFWWHzfnzDEx0uFVjqUw0Lyvin3InNr+8C5oxADQys3VzwcO5fvQvKuSNeafAcx4HcHzl2EKC3N5LJEGVpmAPfEHxo7Et8A/x3sfCZTPmqY90LCuugyO5+mrbBobG/KRPKvopMmq2K77uYgG6BjZJ5E6oMH2Qc79jIJHhKuNx3xrAynrDyHVAq6PsH9jsYuS3gZrgb98GijBwup9mAJchN2BZajsRtqtRI92CEl52OXk3dEcy5hoUAhpaiHUyiaZSzSXXx1JIR1qGtrRLHYjfhWzW7s4jT9xK/MmZw1WYjpse5ojZCwDDwsIMa6IN1IOGGrsgxSwTXIW0hkjWNkXgKuMM5tgXhfW5WDsMtbX0W8YltAQGHRSpteAnzfTztR6rfYpfIOxnYZtQIe8DPsPhsnYedmOIbmFOzf1/eRTb1R3kG8dfcSr7LGrNrPf4BkoXxrYCdbv0Xrhz1mjlLhkDClUy1pbGIaGTwkTKM74rNlZ0ts79CzyPdxNMbTwE+Mc+tjh7eMxDW168TZN/uRUNZtgc8RX1kBWYPWMs5dgl1gIDd6VI+PYWnXvm4JD4tChZPudSplr2/Drpy1C3aVuFbhUuwSy2eSbB6PNqJ+X+cjPb5ajeWRfM4gi5HqmbF5LyTMq3rvM9L9+vvW7EtbaPARt9cDDCZHKyRJaGMgzZyZKE4inOj/coJrnYpd3/oviFLmaJx/IxM7KESuilgb9qKxPJI+xFP3LcSb8iGkZPLaiDt06dr5PqSU3ttIXObDiJLzQIP3GY5OJIF3onH+FKK7VzsCaK3DSfeKrDwsIJW9riJcdnpjxAL9xQZ+/g2iq8olpdmcncmIN9fMRfwSzrvSLF9DetgsGzh3BpLzdHuD13gYCUVVSGjMVsi8WhNJRJ6AeFoW1F5zkbylh5GcqDS8sP8DfNU49woSw1407xDooaZ0a+SwaHS3CgtHaSUufxEJkw82sL0UMeo+mdI9huJswmWRk8h6n8eubvcv7L4ujuH5L6K0BD2hyyCGkG1pbH/4Ccmrppo0Kyd7iExvVuA8m4StUt7b6DR6BeOhfK1mFUmbhxA34TGBc5OBqxH3UZbxjremdJ3dsDXFJciDm1TwHY18E1nwpgXO7YF4PZr1TsxDwn5uSmVkjXMpYu0Ocj/w05zH0Zoopoaas2XrYQFJct2NcHW/YxDldaSSi3OAIzMaV6NUkHGavbOuIf+53w68heQj/iJwrr7xbon8zRtFIwJn1kKnyZqIoccUWL5IjJ4HaaOVXqi0ek+I0V7LeFi6jRNpRVA8i+xvwfyz8cgzvDV25ag0abpp3xB8ENuSXkUU97x7fbQDFyMFGTYMnNsS8bQ0UtHy81kMqkm+iZ0/9xQphKS+FxKmlArlsGh0lnWzT0AsS0G2RMo6mtbCsrE5sqCY5XOPQ/4ojuZ5F1FYzI3gbOCz+Q+naXqQhMMgbyN9MbJQ+tuRScED7eksN2sQq/NMbAPDzxArdZlRSMiX2STyP4gH2xGPX2IrqysgHhazp1LZWBZRVM2wnJ+QrNJYanjaC4W7KK1aQmFBhatI+vhphnyfjd0Ffj3gT9jh5mVjTSTfc4xx/kySNV0ezQwgRX/M0LDjKKZcfrN8HvFWB1mCVINN7JkM9mEJKSwKlaXCsgSpgGJW29gTsXClmeyYJhsjFYbMhfZqXAnRpPwdO2a8LpiZ7uYy8RUkdCSIRpqBPZ//cFoUbSTg+rlYhP+InejaiRhOts/h/nFQSOUdU5HvR8p0Z+2ZaneOwi6rviay7pe10eHySE7EDOP8P5HwwFJgdYhX1j5aTnQ4t81TXpq9LKqI4cQMG64bcMemeK80mYHMOVORvxW7oICjOWYh65DJtyi3QepQJNLE5EvEr7oaIqiwhJLuFalWCIviaSTh3iz/+ykk+bBs1oUdkVKEyxrnH8S2rjvi8V3sShkVJE7/GPvjhaIQN22Um/ObuNrzzRJSWLTSSUuHNsqJ2KGiE5CE2Di9OLKkE3k+jjPOa2Qjc1bN5LyDlDU2+6ZshpQGbbYpZNasieTZbGCcfw3JySlPSVltWI1NI0VZUZF9utLkv8B+2HlnuyNrk9mUumjqz4LZ9+kZxJLuogqScyVSEjiIQvKCTANpGTgR+DlGM3ok/SO1fM8hPSwZh4TV+QMSC26GZeyOJLCvkcMYGuEoxN1uJlTPQnIt8hKu2h2NVMi50TjvIWU6v0c5KjlNQsICo1y0P6acC0rZCVlbPeXlVV2mD1FMzFLH3UgBja9jL8JFsALSmPLgiPdOI5xA60jGk4i336wGtQ7SyG273EcUzS5I0RBzn1yA7KHP5T6i4VDhfVLr1shhQRshYX6qIWF1/ooI+6YBd2vkbxzVWLQIPolU0jQ9Ky8jjcGzLJYy2jgByaEz6amdL8PzMxYJO/0Wdu7c72isiE3DDOlhQccqzRiHy5E/jKm0bIok6B+Q0ziimIy4ZS/FFpRfQB5Q118jXeqhLVHlhY9BrIlm6EOebI7Myyjr+1VEu3Idw3DJrEu6McNA/VzLYb6DCHj/NM53IL0F/oRh0MmZXZGcv+0j3rsAF4KRBfchHgpTaVkRyWk5leLyLTuRv/mfsD3+7wAfRSqPlQsVfqaVao0qYRh7v0eqIWFBrkMMdqbSsg5SDORw0q8A1SjjEWPcr7EF5deQAiazcx5Tu6OR0N+oaI2DkTD6DSPey4v1kHn5uYj3biY6gioRHsBlD17WidH3IicPS53vIPFvZtm2SYiV8wbsajhZopC40n8jCVAmjyNl5hKVaHMMySJkAYwqEb0p8vs/DzvZL0uWRip43Ee05+97ZPCAjgb6/D5bcFG51++fi1jO/xrx3i5IQY0vYRfbyJIVkBCwP2FbNDWS3NoKiZityp+BHbCtxh1I2OeDiAU8T7ZD4sG/hu35ew0Z7105j6kxtBWJUAYL8ciosDFFK91s+fFm+AXRoXxjEYXhLuD9Gd4/ir2QPTcq9P0F4MNIGWNH+vQjMmhUjvS6yBp0MXb0T5aMQ7w8DxPt+bsS2JsMSut7AG9MfWMqhubu4eXtOfgV0uU8qjrQnsATSI6D2dE5TRQS4nUfUjHGrCMNojlug3QmdWRHH+J+vhDb+9aF9G35N1I+McswsaWQ+MxnkAZ9psA6gPQ9OBYXuxuL/q5+S3CpetUiwizfRrwZV0W8Nwm4CBEWDyTbMLGpiGfnaaTEpWlVXVQ735PhGBzC3xElIao784ZIedjfkr2lc1Mkt/MupKmlyZOI8vRQxuNIQtgI0QJJ9z139lTQ4TU/5aT7KK5HjCSvRby3LSIoXgasnvE4tkcqmF1PuOVAnXuRnmexO5c7GqKKVN86HVvGqCCyx7+R3MZxZMcY4GjEeHcGttylgXMQY38mSr0H0NHfYXUVVx2Z90GI4iZgE2STMBmL/EGeQ0qPbkt67tHJSC7NQ0jloA9GfGYAsWrtAcxP6b6O4fGRKlwfR/qrmExDFu7nkDj+aSnee33Ei/MCEp9phl6AKK07YCfHOZpA+XZoSGe1s6gOyfUSjF8g2kL0AaQq4JPIehRl1IjL5oin7gUkdyYqZOZJYAskNMORD08iCsPVEe8pJIT1EST37mOkZ0AZU7v2zYgl9aNDfO7nyNwpV86KgdIqbITQ5VdYWNtKuKeqqlnksJjcA2yEXfIYJCTwCMSgcRWi3KTl+V0KiXb5GxKWvUPEZzRScGY7opUqRzZ8E/lbR0U/rYgY9Gcjxq61U7zvGoiC8jzwfWCViM+8gTgWvk6GvQg9AL/DtxSWAX/ArJKSF3UX41lE123uBj6DJOU/j7jDPkq4g30jrIckBP0B6cnwI6RscRRPIA/nuTgrehFchyiyfx7i/ZWQTs7PIxbPU5Eu083EmI9BKsGdhViwHke8OFGlTDUiMG6MbCyOBPgdvi24eLmHhJn8CDFcRBlPQDaE7yJK682IYr0xzXleJiA9X76NWMj+juRpRQlyVUSZ2QJZjxz58g5wEFKuPMqYp5A8qN8hCci/QCyNzUYErAp8Gok4eAXx3uw6xGdfQ5Trw7BzbUpHRP+SMhRQGZZJvZMshaWDjqw9LHVeRQTUk5BeZSYVpD3En4EXkYpM+2P34hmJGYjB9praPX+B7J9RPI+sWSfhGkMWwe3IPjNUb6VlEaXhKSS/pAcx7lvzeBg6EW/t6YgXbVbtOisM8fkbamPKvGFxBcBT3hStw0pR/+L+KIt2XvQhFvNfIQnvOw/xuWmIO+xYRIj8DxK68yKi8S1EXFNLIULA8sBayAPaSMLfQiRO/GIycnE5GmY2kteyHyIorhzxGYWE622DWCP6EKvj04gQ8Q4S9uMhMZ+TEAFhLWQuNaLgPIm4Re+K+T0cBlEelkWLFpWh8t4/kZCHwxFXt2XYQebMrgwKlYuRNegZROBciFRt6kDm3GSkHOhatX8bUXDuR4o5pFLL3pGInyMhMuciCbFRf78piJX60NrxG8ga9Cyi7CxEFIxxyD60DLInrUVjvV6qiHB6Gtl2Q08VT3m9Omx8bUaIKoSB6kCX+RceqA7k4WGpU0W8GVcjIan7DvG5lZCwoXqn85eROfcCg3OuF0men4DkxK1Ve00yLxZBb20c51KmUtmjk1cROWhXxOOx5hCf26L2OgORX19AFJmXGJSFNLInTUDm0DpIqGEjz+YLSF7nDTG/R9NUAHzfn6JUKLpqYc/6PXk+lEPxDPARRAA9CXE5DYVChM806uQvRMLOzkOEDkd5uBYRGD6BWACGK33dhSSmrZvCfZ9DFuyf4SxL6aJZygju9FmvNBZjHwk7/A1iyT6Z4SuGjUXyGdLIaXgUUZSuJUM3u6Np3kRCci5C5sNBDG/smFp7JU3Q70cE13MQwaOl0GjTM1F6D0tvd29nR3842kpVVRHr/xwk3HBjpMHyfgwfEr9i7RUV0tUMvUg+7zdxebtl489IpNBBSLrCcGFgnQwqqEl5ETEaX0YGifXDUbcdmI2JigoHG4p7kEoVWyEWrqy6YP8TSaBeFdEcnbJSTvqQ6knrIWEXd5BNqF4fohztgzzoP8YpK6mjPasfw7s9qqdsoZfvIJ7WGYiH7YGM7rMYiUvfGRFOrsEpK2XlSWT9WQcJ6/tvRveZgygpM2r3azllBVpTYan0VezcEK/QPeARJK9pE8TLlpWs9jQSWr0qEi7mlJVy0o/IQusj8+ImspFRqkgfsE8iHp2LyVlZgbpVSIUVFoUqm8JS577a62gkb2U3JO8gKgmoEfqRuPE7kJjAx1IYoyM/+pCwwV8hc2B/YCckZjNuQuebSH7UrYhl2zXCyhilrZCwovNXhmMh0m34B4iguh+yBn2I+GW2X0XWoFuQfK2sDDKObHgOqSR4CjIX9kTWofWIVxhGI8azOxGDyV9og9xJpVSfoXqXXmHp7+jvqPhh51mlUilD6fpHkTDR45Hcqd0Rb0rcZttVpOjQncgalJVBxpENVcS4dQ0SAbAfEp20Lc3nd9dZgJT5v6123ZeTDzMZFQCFCvdgUbqsCkudxYhrvF61ZQ2kosZaiOCwl/H5fyGWiIVImNnTtdeDuC717cJ/kBLIFyLzemNEYKi7QZdGPInrExYsn0QUk6eQZObHaQPhoJVQWk3QKiTJtMoz+RRSpOEsJBRsU0SJOZtw35R5hPNZXqv97DPI2vTv/IbsyJAqYui4tXa8PGIJX4fBnKUtCOepvI4IirORPemp2nHbGUo0uleF9bfOHt3jldCb+h6VgUqHmcNSrVbLoLDU6UUUjHpzwVWROVff91ZFjHebEFYQn0YMJPV16B+46qftwqtIbsv3kdzJDRFZaG1kTkxBwgXXM37uZqTg0NOIXPQoJYsoqQBorcM5LDqyhGyZeY7Bko6bYCsse+O6sI4mBpAF+B8R7z2EzJE6/4ckpTkKQqtwSJhV/rQ1WIyErt6DWD6DCssPkPAKx+jiNaTp558C535POHH6VqThbNsWYCtvAAAgAElEQVTjKa/XLO7DbLooILSkUbTSnqFkUaVa5hDNObWXyVOEcxyuQMIMHe1NFVFCHjbOb4goJEGOoeSl0T0ApcIelhKHhDkcjvYjFEqllXZVaByONkMPWDksjPHHlDosrKOjw8phqVRLERLmcIw6PACNDoeE6dKHhDkcjvYhLLSoyP5LDoejhYlIuqdDd5RaYRkYGLAUlmqlVCFhDseoQaIzjaR7vJYLCXM4HC2KQoWFFt8pLA5Hu6GUslol9NJbaoUFz+6z09nV6RQWh6MAJCRMq1DjIIVqmWZUDoejtdHocJMqRRl6QDkcjhTxlW97WCi3h6VTddqNQRe6oiwORxHUH8ZwWVG/1GVFHQ5HG6G1DgktUaEjDoejtalQsZ5r3alL3e2+6lWtkLCBrgHnYXE4CsC77MHLOjFiyH3lt2KVHofD0YKYIWEK5RQWh6PNiPKwKK1K7WGpVm2FpXtMt1NYHI4C8N5a9i2rwZ7yW7KsqMPhaEU8TIXFhYQ5HG1GlMKi0XGbreaCV/UshaW/v98pLA5HAXjV/qqlsHie5xQWh8ORC6aV1YWEORzth+pXdhM6n0rER8tDl510rwaUy2FxOArA8zq88ebJakfVKSwOhyMXIpLuncLicLQbYyOS1ZWtEJSKqj2+Jf6SMjeOdDjalkqH3zHBNwwG3kDaHhatgHWBjZAO0FOBZZGO5POAJ4H7QL2Q7n0dDkfZ0ejuYDdp52FxONoPVbU9E1rpcissDoejNFR8z5+AYS/o6upKSWHRHwc+B2wJLD3Sh0HfA/SAuiOd+zscjrIT0YfF5bA4HG2GGlC+VoawEeHBKBNeh6d11TlUHI4y4GlfWzksCxYsSMvDsguwGyMrKwAK+DBwG+gLa14Zh8PR/oQUFk95zsPicLQZqt/2sFRUpdQKi49vaStjvDFONnE4CqDied4ErUPPZF/P+j1ZWDgXAH8HngFeB5YAE4B1gJ0ZVGoUcDywCDg1g3E4HI4SoVDdOuDm9fFz9LDolQgrTAOg5uR3f4cjKXoqMNE4ORvKlRzuLe35/qLwkFoxJGyJt8QpLA5HAVS0DntYNDrN/JUngB7gNuABiKgSIncdC3wN+Dq8F8x+EugrQD2T4ngcDkfJ0IQbR3rk5WHRGwD/AIJJ/7OB6fnc3+FIip4EPAqsZLwxBckPLQ3vLn632o3RdqXkSfee9rQ2Y+YdDkchVLTSE1Qg+kqRZg8WdUmDn1sMnAbaQxQXgArwSUThcTgc7UuotKlWuj/7W+oKcDlhZcXhaDUuwlZWyskifMaGT/lV3+pzUnYmManoITgco5KKp71xhgXh3aIGA1wInATUF7ENCxyLwxFAe0ilu02BVZBKd1MBD5gPzEJCHu8rWyhGCxASWrTWeTRmOwHYLIf7OBwZoXcCDi16FA3zOj6rGedK7mEZGBigw+4d6XA4CqDi448NlhRVWi0ubjjqTdCvAyvUTkwubiwOB4DeGjgNqXTXiGltNugLgB86xaVhTKEl49+bXgc4vXbwHyR0ZoNs7+lwpImeCPwMCaHuBe5GckHLy/b4mI0LSq6wROFyWByOYqiYJUW1KrIHglZIIn6d14oaicNRYwNg1yY+Pw34PrA/6L1BLchkVO1FWGjRWSos2gN+Aoypnfgi4m1xOFqJ84FVa/8/G+lvVmqFpUf1+Oc+f274pF9uhcXTXo4JLNoD1kY8v5sCKwbefBJUT35jcTii0CszOD9nEN67DwSzbnm6VMDMgiu0y/SHgaUCx3cWNRCHI4IFwL3AU8CriGV+KSRJe2dks6mzHXAd6J2zfojbgHDMhZeph+U4YJva/68G9QfQTmFxtBB6e+CI2sHjwLeA7xQ2nObwCQo5Lehh6fa6U/Sw6HWBwxEhcGPCBtsgd6V3T4ejUfRE4CuIgrIZsPwwHz4w69FUtNbdSpWhy7R+H/CjwImXgCuLGYvD8R4v0FClOwC9H5LIXS8xuiPyEF+d6Qhbn5DQ4mkvoxwWPR04s3bwFqK8OBwthB6HeAgVIvwfCaqP1qlkFVJYPLxSKyx+xdcdOtMclq2QNg4ORxmZymD4dOFYIWEKlaHCopciXBFoLLAm0mDyC0gpRpAk5v1JtWKZwxEHdTNwc4OfvRb0EuCGwMmDcQrLSOQQEqYV8GMGLZhfAeVCTh2txjnIngnwPVD3FjmYGISf7Rb0sCxRmeewLEZKVW8IjMv4Xg5Hs1SBfyOG2VVH+GyqVDR6TDDpnmxDwq4DdhrmfY0Ie8eDej7DcTgcGaH+CPpZBoWKDxQ5mhbBM46yCAn7AoMx/ncCv8zgHg5HhugtgWNqB3OQYiCthm8clVthiTKeLE51zIuB+4GHgAdr//5bPPl6Nlh11RyOPPGRfooPMThHHwP1LuifAZ/JczCWh4Xiclh8xAJ6PiizlojD0Uo8zaDC4or2j0zGHha9GnBe7WARcLjLK3K0FrobCTetxycdA+qdAgcUl5B1VKNL/Rx2eV0DVT8coVqpVFKMEVO/AX6T3vUcjjRRs4H3Fz2KOh4eOYaEsRBJVJ6HCA7hscDngWdAXwJ6jPnDDkeLsHTg/68WNorWIaSw+Phpe1guY7CYxxmgnkv5+g5H1nwDWK/2/1+DumG4D5eYPLypqeH7vpVPpzt1JeqzDocjWzyljbLGmSbdq31ATam9xiNdpjdAmkW+VPtQBSk1+odaN2qHo4XQKwCbB07cXtRIWogMPSz6swyWpX4MuDi9azsceaA3ZjAx+03gywUOJik5ljBPjt/h91vn+n0nlzgcBeBp05Oh8gwJU/2g/gXqfGB94KbAm7sAJ+Y3FocjKXoppLJdV+3EIuDC4sZTfnp0jx0PnprVVa8AfLt2MAAcJmuOw9Eq6C4k36qzduJ4UK8XOKCktJTCwgBWVcgBf6Az6qMOhyNbPC2xse9RXFljtQDYH5gdOPkVjPE5HMWix4KeXHtNBb066B1Bn4FUztix9sE+YKYLPxqBu+wE1hTLGv8AmFz7/wWgHk7pug5HXnydwcIdd9D6pf5bKodFVe0y9h1eR6Z1jh0ORzSeQnUFTyg/0xyWEVCLkHjzOlOALQoajMMRxTeQHh5vAXOB55Cwrx5gJaTS3W3AlqB+V9AYW4YpK0+xN/9UrK76U8A+tYNZyN/N4Wgh9AbAybWDli8Wka03NRtUh62w6KoLVXc4isBj0NUMgFLDNcbLhceM4+mFjMLhiMdNwNmgHil6IK3AW5W37J4GHUmFGD2VwVA8DRwFanGyazoceaIrSFWwukHx1FYv9b8e69nPeslDwlS/LQ91dnQ6hcXhKACPwTKJAGitM+oy3TClXsAco57FDFa6i6p2twdwJ+jbQa+c9+DaAb/qJ23M9kNgudr/Lwd1W8LrORx5cyKwWe3//wAuKXAsqTDvoXl2+CdeqT1GXsWzFJY+v88pLA5HAVS00h1KD8oH2itcYVnHOHZlYR0lQp0OnB4+p98H7AAcC2xZO7kjcDforUG9nOcIW4pF+Iy1ziZtzPaxwP990OcN+UlhWuD/k43PPwvqpwnH43A0S3AOvwycLc7CIdnKOD4D9JLa/xeBKjwksndSr/1cl9zDMtA50I8hEXm+55LuHY4CqCitQh4WpVWBCov2gJmBEwNId02Ho8SoV4GrQP8WOBM4tfbGNOBHwN4FDaz8vI5v9nL2lJfUwxLkiCY/Pwkps17ndsApLI4i+Wjt1QxfCvz/LUqQw/VW5S3VbdbQSRz+mS29fb3V7o7wmL0uzyXdOxwFYIeEqbQ8LHoN0BOb/KHzgE0Cx3eAejOd8TgcWaN8UKcB1wdO7gV6/aJGVHbW234922ysEntYHA5H2ei2n2uty10lbOKYiVYZdO27pHuHowgqGApLiiVFdwO+CfoXwO+AByAqoV97wLaIVXqnwBtVwpZOh6NV+D5hr8ouwBMFjaXU7M/+/nmEI7a00kkVlvMxyqeOwMFIhTeA+YhXrM6zCcficMThl0i1wUb5CGFj38VAICSsBMzDs8I/Sx4SNn7l8QO9L4QLp/radyFhDkcBWApLykn3k5EOvccDvaCfAF4DFtbuvRzSMHJp4+fqlX0eTXEsDkde/Ms4Xi3yUw6UUvrc58/VBBWMalIPizqluc/rbRhUWOaBOnm4Tzsc2aO+19zn9XjCCsuZoOalOaLEdEU81yVXWI7kyIFzOTd0zlMuJMzhKAJLYcGzO7umRDfhBXUoXgWOcT0sHC2Mad0vulR42fEJrkMuJMzhaDvGeGOUNgoH+PilDglDoXken0AhEKWV87A4HAWQpYflN4grek9ga2D5YT7rI/1XrgB+Dmp+SmNwOIpgXeP4tUJG0To4hcXhaHMqA5XO/s5wSohSqq+g4TSOZgD1Xj8cfOU7D4vDUQCWwqJUWlXC1Dzg57UXoFcDZgArAuORHJV5iEflUVDvpHNfh6NwPmsc31fIKFqHkJVVodKsEuZwOEpAb3dvp+eHbREdqsNKai8digEGG3g6D4vDURBZ57AEUC8CL2ZzbYcjC/QKwHhQTSRe68OBgwIn/oNTWEbCN46ch8XhaDO0r7vMc37VL7/CAuExalyVMIejAFqu86zDkSPTgadAXwv6QNDLRH9MK0nc1tcCPyacw3ICFNnbqCUIKyz5h4S9g3h75yFVwhyOVmMxg3N4HiN0mSyCDr/D8ky0QkiYJmzEVUq5kDCHowAq2Aubs246HIN0AB+vvQD9EjAHWFB7bzKwNrBUxM+eD+q3uYyytTErBeW8Bqn/yfd+DkfaqBOBE4sexXB4Fa/T9w1nqld+D4tChcboyho7HMVQwRAWUuiB4HC0MyvXXsMxHzgZ1I9G+JxDcGuQw9HmDPgDnZ5hi6gMVEqvsGh0VQWd5irtkDD9SyS31yRYqGhD0LdGfOZhUK5fnSND9PHA7hFvrGcc3xLh2NWgdklrJBWF8kOlBl38uMNR5x/A9sDOtdfmmGXAB6kizSF/DfwC1Os5jK8tcGuQw9H+eL7XaT7Zfaqv9CFhpoclfYWFrYE1RvjMZGQPcjjyZl0am3tRn0m1z1LFx/cN64ETFhwOANmo/lJ7nQZ6AlLpbjUkBEwj3pS5wOOgFhY10lbGjBHXSrsYcYejzdAV3aX8cAHAro6u0ntYUAwE7Slaa5d073AUQEWhik54dThaBLUQeKT2cqRHSGhxZUMdjvbD871Os3HkQOdA6RUWrfVA0KjrKS9theVUYGLMn/1vmgNxOCK4Engw5s+mWvzDymHBJd07HI58CSssnlNYHI52o6qrnZ4y+rAs7Ch9SJjpYUm/rLG6Ot3rORxpov4K/LXoUYAoJ+Gmbb5r2uZwOHLFVeFxONocz/Os53px9+LSe1jMHBaNduuTw1EAHsX3QHA4HKMbFxLmcLQ5WtuNI5lG+T0sOjxGpdz65HAUgYd2IWEOh6NQwgKBCwlzONoPO5TK71E9qVYRygKttalUdRcyEIdjlOOhnIfF4XAUh9KuMZvD0e4olCno9xYykCZRSi0OnfAZU9BQHI5RjRUSpn3XtM3hcOSHVtqFhDkc7c9Y43hJIaNoFhVWrLSnncLicBSA58oaOxyOggkrLC5G3OFoR0xBvzUUFh0eZ4SnyOFw5IDnK9/lsDgcjsKwQsJwIWEOR7uhCXsmFKpVFJZe49gpLA5HAXhKOw+Lw+EoDhcS5nC0P57yQgqLRreGwuKFPSxaazO0zeFw5IBd1th3CovD4cgVFxLmcLQ5vvZNz0RLKCymJ0gpFxLmcBSB68PicDgKxQwJc43ZHI72w8NryRwW7WuzmplTWByOArDLGrscFofDkSNahQWCyAZzDoejpdHKyGHRrZHDojzlQsIcjhJgN450HhaHw5EvIYXFVeFxONqSlsxh0RgeFuU8LA5HEUTlsKhihuJwOEYppuDi+hw4HO1Hu4SEufXJ4SgAl8PicDiKxuxz4AQCh6PNMMsam9W3yoqVdO88wA5HIVQ0uqqCThVFpbjhJGYMMCPi/N7AbGA+8BzwUo5jchTLMsBawGRgPDDVeH8FYBIyNxwFoLRaopV+79iMdW9BzKIBGwOHAe8g82wu8Azwbs7jchRDBZgOrAqsaLy3CrAj8CKyR1VzHVmOmIaIlunD0sGSoFnXUrzKSRewJjLflkb2uCDTgdWAOYDGMRpYGpGFlgHWj3h/I2Ae8Faeg2qGilKqLzRdNa2S8KqADwA7IAv+B5AHMMpDdLFxvBARGO4F7gTuosR/JEfDjAO2QubEtsC6yMM5HJ+pvV4FngD+gsyJBzDK7TqywcdfosKRqK0gENSZiMy1HYGtgbWxhYPday+TOcDjyPpzJ/AIbSywjiKmI2vQDsBmwOow5L66LXB77f99wLPAg8AdyJyYk+lI8yWcw2KHWpUShVqiA0KSQnX16B6vR/WYBYuKZF0G59xGyBzsGObzn6u9FiOy0APInLsLeC3LgTpyoRv4ILIvbYsoKMuN8DPX1v59A3iSQVnoPkoSvllRvuoNWjcpf8m+9YGZwKeAlWJeYwKwSe11DBIWdxdwBfA7RKFxtAYVYFdkTuxNfGH3fbXXTrXjBcgDfAXwV5wVKjM85fXq8K+37ArLGGSuzUTmXlyv9Kq1V12ZmQtcBfwKEVodrcNKyJ40k2jrZSN0AevVXjNr5x5D1qDfIEaV1kUxIfiYK6VaYp/VA7rXMIMqZtNF8ULcmsAhtdf0mNcYC2xYex2B7HP3ImvQ/yIWd0dr4CEK60zgY4icG4epiJKzLXAasAi4DpkTt1GgUc2LqNRRRmFBAXsCf0MskicSX1mJwkM00V8gm8JFwMopXt+RPksh82AO8EfgANKduxORMJ67gFnAkZRfmW9JfO23Sg7LssBZwMvAb4E9iK+sDHX9Y4F/AI8Cn2B4K6mjeDZDjFwvAt8ivrIyFBsC30HCmK+uHbcmOixAaa1bIiRSVSJD14pco3ZEBMdngNOJr6xEoRBP8Y+AV4AfA2ukeH1H+owFjkbSHW5DFJa4ykoU4xBjzM1I2OpxSHh97ngKVfamSLsjoRI3IOE+zfA2YiFY3MTPjAe+hPzxf4QIEY7yMAY4lUEBYYUmfrYfmQ/zaM5KsAYyF54DvoATIlPFjGUvYYz4JOAC4AXg60g+VKP0MjjnmvHSbYh4W54EDmzi5xz5sCGygf8DsWY2sya8g8yHZjwMHcg8eAS4HgkBaim00mEhR7VGDpeHZyks4xhXxBq1HRKeczsSCdBMRdf5yJxb1MTPdAOHA08h1vVVmvhZR/ZUEFn1BeD7wLQmfnaAwX1poImfWxn4bu2eJ2Dna2ZKpcTx46sino59R/hcH3A/Ygl/HLE6PI9sCkE8RLidgSQe1eP7pg1x3S7Eqn4A8DXE0lCmmNXRyG7A9xBX+HC8gcyHvyGL7TOIhbLP+NwYZJ6tjQgAH0Y2haWGuO5KwA+AzwJHAX9v9gs4Iimzl/eTiLIykmL8MhIDfh8y356pnTM3g3FITsNaSOjPdohFc6hmdGshlvXDESva001/A0eaTATOREKJh/Ou+cA/GcxNehrZl96I+OyyiFFkbaRAww5ITmaUQKqAvZBQxAsRj19LCP5KqwnGcUuEhPn9fq+pjvbpvjwNu8sD3wYOZnglZQBRoO9C5t4ziJHNLCijatecgcy5TRFZaK0hrlup3XtfZO5fhMvvLJptgEuBDUb43NtISPvdwL+ROTEHo/cZopyujMyBdZE9aXtgyhDXXRY4H8n/PRpZ5zKnolQpPSwzkT/GUG6tPuBPSGzvzTRmNfCB/9ZedyEKCIjwexDyQEY9sJOBHyKCyydxFcaKYBxiQfjMMJ95HbFIXwk8TGPK5RIGhcsbkAewgiwGBwP7YSdQgyzw9yEentNpzkLhMDCTWimHwrIMEiK65zCfmYNYHq9CCjY0wiLEsPI48HtE4OxGLKaHAB8lWnnZCclnOAm4BJdTVQRbI3/roSzNGjGSXIH8bd9s8Lpza6/7gV/Wzi2HrD+HAFtG/EwXcDJiUPsEIqiWnZb0sGhlFwfwtJeXnPRR4GcMLThWgVuRdegGbENtFBoJfX8VEWR/Wju/KjKfZiIKs8l4ZI88CPH2zWroGzjSpAs4DwnLGkp5nYfkH12JyCmNRJP0Isrtc4hsfSFi5N8CkYU+QXQBo3URQ90PgK+QcV6Xp7U2wzGKVFjGAz9HFu0oZWU+cA6yYeyDbArNuDijeBb4JmJp2InBii0mH0YsZVHVfhzZsT6yGQ+lrDyBbOorIw/xgyTzhA0gCu3nEKv6MUj4mYkHnIJYFly+UwJ8fMvDorUusoHtNsizPpSycj+SdD8dCU9sVFkZil7gJkQQWBEJO5sb8bluxLp5Hc2FpTmSoRDl4C6ilZV+ZN+qe2l/QuPKylC8jggBHwLejwgfUYaR1YF7GF6AKZza8zwueM7Xfkt4WKrdVSuk3FPeUB7RtOhCQm+uI1pZeRdZC6YB/4MUZWhEWRmOOYg3eQNk3t1AtGFkY+AhZL1y5Md0RME8nuhn/XkkKmhF4PPIupAkQd5H9rpjatc8DDHuRnEUohwN5aVLBc/0sBSY8DoV0dQ+HfFeP2LNXg3ZzF/PaAx3ADsjlrSHIt6fijzEX8zo/o4wOyEPwXoR772EWHk2QDbzLFzUixFP3wzkgYyqmLINEhrWusmwBeN1eKZAoM6cfWZRhpODEKNFlGD6FBKKU9/MswgRfRsxykxDlKEog8xHkUo+q2Vwf0eYTsR6fS7RIWBXI176w8guXK9ulFkH+EPE+3Xh9ieUNL/ugtcuGIfRcsDzvJbwsIzpGGN5WAYYyHJ9WgoxYEQpoVVEkZ2GCK5ZRXzUjTKbICFFUWP8DRIi5siezZDS01tEvDcXCVNfG4kcysLL0cegUeZQoisWboTMm20yuD8AntJWBYwiBIVVEc0x6o/xN+QXcTL5Nfe7F8lx+SJ2YqSHhGScRYktWm3AfsCN2PkkPuKuXBdxe+aRV9SPhAWugyhHJisgNcu3y2EsbYfW2rJgTqxMHBf12Yz5IvL3NXtm9CKGkg2BW3IayyLgbMS6fnPE++sga+P7cxrPaGQ8kuD+qYj3ngc+gii4efVKeQ6JLNgL+E/E+59FKpZlbf1vmr5FfVbEhF9tEQ/LgqqlsFSoZGXYXQ4xnO4U8d6jSHjg0UTnQmXBo0guw6FE96o7HSlIU0pFuU3YGYnkiCoA9VNkL/gZ+YSm+0jI6zqI4mx64CYje+ReWdzcM+MzC/CwrIgIe+sY531kw94eqZSTN1Ukb2Jz4F8R738dsbo50ufjiOXSVJ5fR9zfX6GYXjmvI5bOmRH3n4TEfm6d96BaHc/3rL/lot5FeZdN/BJiiDAbzz6PWIzOwS7akAcvIGGoJ2B7EVdCNrK18x7UKKAb8aLtFvHetYjl+bZcRzTIH5GwnD9GvPdRRGnJtXrPSHgdnvU8647WKGu8+JXFdpVRlYlSOBnx7m4W8d6liLJSRH8mjQipGyMRDyZHIpZ9Z8BNnx2R59xU+OcD+yPFWIpoej4fUZz3ibj/WCRdY4+0b+phVAvIOYdlMmI9nGacfxdxR55K8QnNTyHelmsj3jsJccs60mNH4NfYFptHkAUzLwv3cPwKmRNmbstYRMhxVu9m6LCTbzsrnWnWkR+JTyJeO5PbEMG06CaOGokt3xF7c5gK/Jl0+1KNdjqQNWgH47xGFMf9yc/bPxRvIntkT8R7/4NYXEsjQPpV33qevaptqCgjPTv0DKDDxgqtdNoe4HFE7x19SNLzMdiVnfJmDhJF8OOI9w5DjDqO9NgEyWEyZfJZiFIbJZPmzfXIOE2nQgWJgGm2FcmweNjxbnkpLBXkj2FWo3gTcYfemNM4GmExki/xg4j3voPU4XckZ12iH9A7EU/by3kPaBieRLwpjxvnJyOeluVyH1GL0j/QbwkuUQJORmyLVAMzPSv1xpBFC6ZB7kGSus1woNWQmPciwujake8gXt4g/UhYzAX5D2dINJJD8Hns5NqDkWIypUB5yvKw+BW/JTwsAFppM5cszWdNIaGopnd+IVL449cp3isp/YhH5RsR750MHJHvcNqWlZE1faJx/iHE4/9s7iMamheRfcn0vtWV8NQam1oeFvIrKXomdsz/24iy8kBOY2gGH3GBfc84r4DLkWotjviMQ4RE8wG9CwmJWZD3gBrgv0SHLK6MeGFMIdgRQUdnh21p9XLppLssUqbWDJ+5GvG6FBECNhJPIuvmK8b5DbDXJkfzfAw41jjnI3ksv8p/OA1xGZK/YsaTn0J0SFvudPgdlgGisqTSEh6WGmGFRae6Pn0Ju9/cYmTfuzXF+6TJGcBpEecvRnKOHfGpIAUNljfOP4rIx1kVnUrCW0hO3/3G+SmIXGfmhcaiKA/LLog2HmQxEn/7WA73T8JxiEATZOnauVT+KKOUi7G9bY8iMZKZ1vZOyJtI5SjT6h01xx0R9C7stSyt2tdZe1gUIoCuaJy/FbGkl7lJ7AuIIPq2cf4wxLLuiMd0xPhkhlIdA1yT/3Ca4pdIiHIQD8k9MOd47lRV1RTw9fS1pydtSZAfOhy2qkktJGxzpAJqkAGk78XdKd0jK87CNpKMQUKB8gzpbTfORDwWQZ5DQj3L5PE3eRfxCP7bOB81x2PhaaymSFl7WMYj5RdN6/PniS6f1yjdSBWfvRGX5Um11zFIovRmpKNQ+EjpZTOufXPgyylcfzSyE9L3JMhcZPKX+QGt8xIy70zF6gzsYhIOg571e/owEso9z8t6w/s0omgGmYVUp0viWXkfstkcglhOT0LyHo5A5nNaPXv+iXiBTMXqYqKryThG5oeI8SnIJbXzSZmE5Gqugfx9skiK/zZSejTIssicKBRPW8/zkgPUAUl6ROSK8lRIYfGUl4bCUkEUZFMuOQnJDUjKZCTyYw2k6V8WlbyOw84rnUF0yJhjZDbGNjzUQwOjSgmXjTeJltuORdoBJKKiyNx1W/wAACAASURBVL2s8WlIGeMgP0csQc2wIhLz+SGkesYmjDz2PuThuhxZEOJaUXsRweZhwk2dTkM8LbNjXnc00oVUYwuiEQXmvxne9zwkedbky0T3OhiJR2s/G8xz6kJKPu6A60w+EgsJNEP0tZ9lSNgUbItPL2LVbCb0sAPYlME1aCvstS2K/yAx6z9BvCVx+RMipAY3uCnI3P5sguuORvbHVmAfAk6Mca1OZC7sghTn2Ai7S3QVyX/7GxKWeE+M+0RxFLIXBvtC7YeEF92U0j2aRzHeWAFbKRwM7etFSqngcRoKy3HYUQU3IT11mmUsko+3K2Kc3RA7vLofkVnuRTxyaUSz+Ihx5hHCnrwvpniP0YKHVIMzFcujkeJPWXEC4jAwORsp3tEszyPyW9Ar7SGhq5uQoJCWF6GwVHru7IlqkJUGM7Cras0mXiPGnyOux+MRgaERRasL0f6uQ7w568a4b50Xsb/LOOD8BNccjRyH7YW4lHQsTEPxIeQhXT3iZfZ9aYYfYpca3Q47gddhExJgPJWph+Ub2F6I05DNvBnej+TbXYQoO40oKyBNKU9B8lFOI7ohYaOciggLQT6DCMqOxhiDXSVuCeLBarQyk0IExssR7/BdwNcQ77GprIAIJRsiCsbdyN9wyybHHcUSpOy6KRRcRLJ5lgitwyGeCtVSCotSYQ+LUnYRgSZZHulhEuQN5G/XqHGrgiiiVyGW7ZsRmeTD2MoKiCL9wdpnHkWK2SSRgeq8jm0gqVACz16LMRPbC/FbmjfmN8M6yH4YJQuZ3uZmuBYpZhPkA0gZ5th4VV214kjHrDomK+vmKdjuz2PBLmuaA1sjHcrN0pXN8CvkoQ+yH7bVxBHNOKSnSpBXiU7mS4tuRKjIKiH+aOz53JPh/dqF8O8s3aTWIO/D3lyfQAS6vBmDbBb/R/xQ3AEkBDboLVZk+wy1G4dhh+p9C3imiWvshfQTOwwJ/2qWjRAvyykxftbkn0goW5AZSJPLYlDhnAZNa/RgqaMJVwlLwQP8ZWzj2ImI4tEoX0CqqX6CeM1Ct0eMNIfG+FmTm7HL7G6Ha6bcKB2IgSPIO9jyUZp4iCyUVRrIV7EbnEbpAA3jKc+2dAx0DWRh3VwVOyH0RqTsWVJ8pLnjlchGfQRwAFKK+Bgk5GhWxM9NQISFuHHlGlG4grG4Cpds3SiHY5f/PRE7mThNziIdq9JQzEHCdIKsj+S4OIZAo0PrkE9mIWEnYi/QR2M3ZYzDfCRp/3vIujATWYcORTaj/0OKi5jsQTJr5D+Q8IsguyPud8fwdCLe1iCzkbC6Zhiu58l8pHrOH5EwiTuIXuM6kF4WccLQTHqwY96/RlGGE9sA0VIeFk95YQ8LKklI2GTsEJwHsC3SIzHcnJuLhH5dj8y5u4k2DI9Bwn4+2eS9ozgee307NYXrjgYOQIwKQc4k27D4r5JynxSDN5E83iCrkEBB9rwBu3mT12d3pU2BL2EnGp6Z4HqvIA2M9kbitjdAYinPQmLDr0FCxi5FQs7Wqn3WnAATiRczWudxpLNwkAORP4xjaDzskLpZSDm/rNjCuGdWJSMvwhZIvprRvdoChTIFgiyMJkth9wm4C7GMx6GKWMVPQtafKUjewrGI0vIrZB26AjgXKV26EtFJ3IeTLIzrLMJhQIpsrXPtwsexGxefT/LKhE8hCsImSEjYhxAvzAEMhontg11RB0RpSapsvoMd5rYOEhJdBCGZwnzey47WYY+Q1jqJjHQEdsjWN0ie5/gQImetj4ScbY1UXj0ACVecghhRXjJ+zkNkqaQFQV5CLPZBdsaVOW4Ec61+nXSKfQzFWoSbzmYlC12OPd9i70uertiuWd2ReknRClLHPsgtiGUwLp9GQiFuoPFKUjcgTXdMN9U+SMfouJxDeLHpwJUXHYntkYZ3Qc7HboCWFl3Iw1NPaHsZ2wWbFvOxCwlsBayZ0f3agbDhRGVSFnM/sCy9SbozP47Ei5+PeHgbKeIxD8lbMKvoKJIlyj+PxLIH2YfoWHbHIKa17xXsSlvNcCOyx6yLKKmPEL2m+Uhxj82QcJogHaSTC/lD7BCjNMJ/4mCGhLWUh0V5apFxnMTDMtM4fgQpoBGHKtJYckNkLl2C5MZFKT99iBFlI+x8vfGkU9nr29hVFouac63C+5HiLUEuwuz9kx4e8FMGwwjnI7nEWdCLHXGyNjHz9bzOvk5r4Yhq8pSQXbGb4Fya8j0aZTZijQxSIVkuy2PYVV4OSXC90YC5aM8n246+pyELQ52jyLZk8g+xQwWdEjs04XUomxwWc87NAm7L4D6N8E3saoK7JLymuaaOwxV8GI7lEQtwkJ8Sz7syC/GQ7YlU/mqURYgiPcc4vwP2ntksC7ETdvckughA1oSeZ61aK4fF135IeNR+bA/L5sB6xrkfEM+78nckX/ZgJG+pUeqlZ82KiB8jeeuHOdhh/p+kwIIPLYC5L/UjUUJZcQzhPi9fIdvQs59hh4DGkoW8hV0LLYXF137aCotZPnYu8S0KaRBVtjapO9SMIV+XsIDsGKSC3dn3f4mO70+DDQmXfv1f4pUuboaXgduNcwdkfM/WRVnx1WmvQcsjYRFBfklx5aYHsMvMrkiyHIMHgKeNc27ODc1+2ILUlTGv9SQiQMbhXWyPikcyI1odU2HpQkLTckWhzIpDrdBf6z0UYQ8LKrZBxZSFFhO/Ken9RIcUNsIrSJnZIJMQL01STFloOey11zGIuUbfhB0FlBbTkHLFdf5CvNLFzbAQW97an+FzsCLxeqb3LMEogZhBSdEdjeNrSCfJNS5R2mRSi+612K7QnRJes13ZHDtUJSvvSr05Vz1/aj527kxWmN9pXUrQdbqUaMsCk/YatAO2MpClR68RzHWok+QNBc3v9GHSaZjbjpjr899prjJYmpjN9yCdteJRpApekNz3JR/frJzWUgpLhEElbkiYKQv9keJ+F1FzbqUUrnsz8JZxzslC0ayBHRqf1b6kkFyl+t7aixR/yMNoZ36n5YhRTbe+gYcexpSbts3ATkCPelDyJKrsZNIuovMRC2eQNCxk7Yi5aC9EKppkwSmE40O/jHg/8uBW7MXAzYkoDIFAkyipNQpzzj1D8Q1eTavzPBrv+zEUZvLkeKTYhCOMh231LXJfilqT4pRHjsL8XuazkDmmh8XzvdZSWMx8gnghq0tjJ6BnlezcCFFzLo2ct37sdg9u34vGfBZ9pIpgFhwBfCRw3EO2DSmD/AV7b2t6HRKFRWfatG0b47hK/Ko8aRFVG7yZuOOhMCfahyM/5djaOL6HbDxu6xBOrL+LZAm1zfIK9oLg5kQUmqyrhJlzztxQi8Bch9JQ2h/Ejk13c85mPexcjiLnhFneHeC1lK5tfq8VkcZweRJSvrSnsyxdnz4+ZuPIziMePKJZb+jW2F3M23XOmbLQ5mTX76OVMfelR2muF0+jrEi4VPs/ge9kcJ+hWIRt0Dd1gxERhcW0bupUq4SZXcyfIts+GyMxBrs29N+IHwsa5D7jeArJEyfbEbMPivl7SwOzKdJipHRs3jkL5ncznwcHoJTVDyrNNaiCXaEtiznXDPtgez5+msJ1B7CrL7o5Z2P+TjT2hponG0ecez6la0cpwnnPibC3yG+tkDDVoayKTatPXr3ZsDDzd/468GzsQSUnyzlnrq9Ra7AjH1kIpAhQ3ctZRSpS5p2WYX63pvvheQBKh4UFrVJVWNY2jvNyQUWxClJ2Mhg714f0TUgDM+EV7GZAo50x2CGCWcyJrxBuitRDMZuDOSfWKmAMpcfXvqmwpBkSNh07j6OodUghVXPMmN4/kV4hCDfnRsbcl/5DdGO9vPi0cbwI+GtK134T22qb25y48D8XjsV4/lSHaikPi9mHBUD1q2bXKHPORckLeWKWG56NFI9Ig2ewjYNuHbIxfydZ7EuHEm5c/V3EE5835nxfE9vjOCwVAK20GUKwVIJBmZhadZYP6cbYibVTamPYESnlF3RLLgYOwq5JHpc5tWuODZybgV3yeDSzOvYkTTvRdS3CTUkfI1lz0CSY830FxHvQUn0IskYptdDY3tI0mkRZ9rJKrl4WWNU41w28D6lW93GksVuQu4FPkJ73z5xzzmhik+e+NBIfBPYwzl1Dun0YniIcfpLbnFhcXby0Z27LA63lYdFV/a5S4aJGanzTCkuZ5tx+yHoUxKwol4R3kYaBQeOkW4fCTMXOY0x7X3of4Qays0nWsD0J5nzvQubH7EYvUC/pGFJYFCqtZD+AycbxKyle2+SvNC7o3IJUi0rLogCSMPUa4c7J5vcf7UT9PtJMgjebIg1QjPuzTtR3WxqnsITQvn7HEAg6L/zPhWO/vMqX0yh1bc65xUiCexbsh/RVaIR5wAVISduBET7bDOacWxrx7BRVwrmMmHMir0IcJl1Iz4WgRN+LHbacFHPfzW1fUtqWJ/xOv6U8LB39HQv9LqMvbLVpw25Z5tzSSIPJIHNJP6fhFcIKi5OFwmQtC4H05poSOD6S4mSPqO82mSYUlvoiGbJ2KK3S7I5sPtTvpHjtOLyECBW7kq6yUsf8fml6q9qBqN9HmnPCbIp0IfBQitdvlqjv5uaEibYtrgMDA2kZTszfdxmUxasRT8s5pKusgD3nOgh7fR3lmRMXY5f3/BbwYsr3KWxf6qDDtCLje35LeVgWVxebUSgM6IFmf4dlmHMe0u1+BeP8ydjFOpLiZKHhyVoW+gTSDLTOLyi2EmJiWcgD0IQrdqSYw6KwY9GLFhZWRnqm3Es25R2zDK9rB8y5VSVeZ+kophFuijQb+EZK145L1EOapkGgLfC0Z1lcBxiwBJ2YmHOu6DUIZDOZhYQqpvU967g5NzJl2JeOQvogBLkH+GYG9ypsX9Joy/DQ3dndUh6WnvV63kUiKN7D016zz1QZ5tzZSGh8kGvJpnmgk4WGJ0rOTiuPbipiDKnzBnBiSteOS+J9qQLQUe04X6MvU91qXqfqnJdSGAZICEKVsLu7qSSbJvku4eS+scgvZAPEihUsQ/gh4DbgXODrKY7B7JyctvW01akaxx7phKsopHNvfRHQSN3xIhNpwZ4P4OaEhULN1/YUSMvDYs65LNegRxALeZDJSCzxZoSbAY4HjkOsYHsC/0ppDG7OjYwR35PpnIhib+Ai49xcpCBDFn+r4vYlbT3HA19d/quLTuCE3IaQGIXmeRYSELCqutqsAF70nDsSOMk4Nwv4XEb3c7LQ8Jj7Etg52HH5PuGy1V9E1pciSbwvVQBOmnHSS0ioVBYsJByrl6WWffow7y2L5DJ8nUGhViF9OnpJzxJvaoxFh8CVDfP3UffCJf09HQHsEjj+OcU25aoTNd/Tdr23PIv7Fr/dPbY7dC4q9j0meYYm3F97DcU2yDoVbOC1KnA70qsgjVAgN+dGpshwlY8AvyVsQJsP/A9SrSwLCtuXtNJLG7aI+Uqplsun0uiFisFwec9rul9dkXNuJpJbF0wUfAkJjc8qPM/JQsMzVIjU6wmvuxdwYOD4T0gIctEk3pfS0uaGwxxQUaEJc5HGORtjCwWnE+6GnoSy5eyUjSzCVcymSG9gW5KKIuq7uTlhcMZ6Z7yLYW0xu2MnwPx9TyC8cefJPYiQ8DXj/LKk04cF7DnXV3s5BilqX9oauI5wtcpFiJCRZa5dccKj4WHRqsWaRtZQqNCc0Vo3O2eKmnP7IT3JgvLeXMTA90KG93Wy0PBkIQtNQnqu1HkXODrhNdMisSyUh8JiaovTcrjncDyLbA7BqlEdSNJZUrqxk9nS6hzbLkRZD6YnvGawKRLIA/pGwmumxTTjeAB4q4BxlBqllNaEy6v7+Gl5WMw514nkshWFRkJRzbjxnbGbScZhmnHs1iCbIvalLRFrZzCXoQ8pdX13xveeZhznOSdCz7HSqlW9fSHhSmnVrIeliDm3D/AbwuE484HdSKdZ9nCY+7pbh8LMxQ6Fn5bwmhcDKwWOTyZbpbQZpkWca8qblIfCYtaVNpsnFcG/gP81zu2BKBxJiGqEU3RzqLLxInaSfZKGUh8k3BTpdiQUbHIDryiNf3zE55I8J+Z8fwFn7Y5EEW4ml6KHJaq2fRmamJ2OHde+bwrXLVuDujIyyzjOel/aDLiZsNW5D7F+35zxvRV2D4w850S4fKvKrKR4pmil3zGOmw3pylsW2h079HAB4uFNq/fcUCyLXbbXrUNhFmKX+k0yJ1Yn3Az0UeAqGpOFovbasRGfi8pDaRTzu71Nk0psHgqLOUnXy+GejWBuEmOBdRNe0/xuGntjHO342B3nzUZ6zWCWa90J8WA08orq9vqjiM8l8QCZc8It2kNjxlKn5WF5GTscI8mcS4v/YifapxGaas65rJpktjJmR+kpSGGELNgQ+DPh+TyANC2+IaN7BpkOjDPO5Tknlgkdad7M8d7pocMeFs/zmlVYzLV/LZIJgMOxM/A7wkWIFiJKzAMZ3TNIlJzn1iGbNOXjMcbxRkikSSOy0OyI650V8bnNEowvsSyUh8LyuHG8CqIJFk1UcuOyCa+5nXH8AsVXqSojppC2bSGjyB6F/d3M58FRQ2llxran2cDW/L2XZc6Z69DUhNebiOTpBUmr+lg7EfUcmut3GqyDGMeCzduqiCX09xncLwpzrmvgiZzujUZPCR1r3aohsSGFxdd+swqLOefGk0wAHIptiM6T2hv4Wwb3i8J8lhYAc3K6dythzoks1qCyYH63pmWhPBSWv2CHPeyQw31HwtRGQR7qJOxkHN+Z8Hrtyl+M441pzy64HyBcWhDcnBiOrDwsAHcZx9uTz/o3EuY6lHQN2g7bauvmnM1L2J7e7VO+x1rAHYQ9Nz7wGSSvIC/MfemfkJ+XQykVUliUp1pSYVFamTkszSos/8A2YKYtC20F3ES4x0cvEnqY5zpgzrkoOdBh70urAmsUMI6sWR47gqnp+ZiVOzLIW8BjhK1+eyJVK4pkzYhzSZLC1kSsaUHuSHC9dsb8vXQgSYBXxbjWXOCamOOYgJQSDfJ37CpycRt87WEc95GfhavlMBvYkm5DxTsJV+ZaBkmCvjfFe8TBXIeSJqaac+5lXBjiUNxB+Pe/B6LEpiFYzUDmXLAIiwa+gHQaz4tOJGchSL77krZCwloyhwWVuCxxH4NVAuvsiRTgSIMtGTpP6k8p3aMR6mtrECcLRXMX4nEN5j7vSbjpY6MsIL4s1IkUaAjyGHYYX1xDx17YlTlLqbAA3EJYYdkdmdRFxrJ+3DhO6rI82DiuIgngDptZwPOEQwMPIZ7C8gRwQMxxzMBWWL4HXBnzeibmnLgHFyI4HFl6WP6GKJ5By+NMilVYNsWunJIkVKcb+1m4JcH12p1bkP5NdVZBvCxJhas1kc042CRUI9ULf5zw2s2yK3aoc65z4uTpJ69+7rPnTqXCMp7vTR3QA2n0GsodhVoQbG6rabqsMcjvPqiwfAiZL6a3r1k2QTwrQWWlH9gf+GPCazfLgYRzZ8CtQ0MxD8ml/WDg3CHEU1heIr4sNAlJgg9yBXBhzOuZHGIc/wu74MCI5KWw/JpwX4wuJOHw+znd32RfbFfszcSv3uRh/0Fux5XxG47fAKcGjj+CbPBNT+KSsjl2klmeYSAth0bPV2EjTJoelsVIXHfwOT0A6TRvVq3Lgw7guxHnr09wzb2wQyt/neB67c6NyCYdnGeHkkxhWRWpUhgsLaqBYwn3R8iLQ43j14Db8hxArUnkXIrvtJ0IrfXC4PKkaLqsMUgDv/MZtKgrxHAyXNPrkdiIwcqYdarIWpdkPYnLTOP4UeDJAsbRKvyasMKyKfB+2iffdTrwYeNcLFkorxjufyGTNsjxxFeYTkEsE3HYk2gL+k9iXg/gY9iFBK5IcL3RwBWEa5BXkE29XfiqcbwEqdriGAKzrDHpKixgh+JMBg6Lea21gNOIN8YJiOBiLuIPk6x54PHG8cu4/JXhWIIdQnEgYWWjGVZBQjymGedPoRjj3OrYYR5XYTRodTSGRlsNaHt0T7My1MvYkRdHEfb8NsOGiAJqFnU4BClpnDdbERa+wclCI/EbbGP5l4sYSEZ8hXA4mE9MQ1qeSadmzsrqxHdf7YiEctyPCIbrMPx36UC6uv4eKSNplni8lvhWJ4Xdtfot4P9iXm+0MAsJkQpyFO2RfL8OEjcc5Fpsl6sjgPas6kHLRH4wPrdjN9E6kXCfgkYZD3wDyXf6JVKBZyTl5X3Al5CSuub88JGQIbORWKPsjAgLQX6OCC+OoTH3pW5sY0MjrIwoh2YJ9K8B34pxvTQ4hbBRUCNzwhEDT3lmaXSPJy1ZohHMObcM8LkY1/kAIrcE10kf+DTxwqvT4AzjeAkusmAk3sQub34wsFoBY0mbFYDPGuduJbpK74jkqbD8DLurZQ/JmjV+EPg20rF1AVJf/AbEg/JLREH5B1KO8M9EN2V7mHAcc7Psj11G9BJcrkIjnGccL4Vssq3OWYSfLR/7uzpMfCunbXzPCz1R1fzi30HCMYKsBhyZ4JoTkRCIPyDxyLMRxegaRDD5LZLw+gLwCnARtgVfA19EDDBx8ICzjXOLiBcHPdp4ANsLdQTNCwvHYFf30cAJNN4XynwlsZCvgx2acyNSIcwRg+qS6iwUp6E4Vik1U1f1Pi8vfrk3xqV+h92f7SSaz9n7GnYZdI3IH3Hn3AVNjiHI9ohhOMjPcKHxjWDKB53AmUUMJGVOx66EmVaRicw5GXmggq9Th/2JaG6NuE6c1y2EXanNshSS6BS85oKE1xxtPEj499cPbJDTvWdgzwkzUb5Zdom4pgsFa4Dznj1vq3OfP1cHX9+a860VR/7JpujGfmbnE67m1Agbk2ztqb/eIX5YWp0jI66bVrLkaGBn7N/fdU1e47yIayR93ZjgO90Wcb2tE1zPkS6fxf77XNTkNa6KuEbS1w9ifp8KogwHr9WHHR7pGJo/E/79+aRfan0oJmHPhaRhaZsi4afBayYqcpN3H4JLsZOqvwas3eR17sT21jTDLEQw3QWxKsTlLGxr6QUJrznaMJMNK8g86Yj4bNmZgIw9yADiSXSMgPKUVTVwoG8gbeW/F3lug0wkOgF+OOYivQXihlz1Ixb09RErZFxWAM4xzi3A9iQ5huY2bC/LPkhuYisyE7sPxg24kupl4lfY5caPAbYoYCxpcBISohbkx0R3UHdEcxrhkuoKyX1LM8ogL7qAywjLcRpxWsQmryphdd5B4oODMY1jkfCJDyKVfBrhHMSitQXSxXdrpKrCakQLuguRpP+HkVyCe5BfXhL2QMI4gjyHExSa5SYk3yeYHLoNosickfG952OXGTVd9c1wKXZfjUtwncYbYrFa/Fq33/0LFG+imIvPXDVGvZLBrX6MxHkHk0MPRATXnzZ4jZcQ69cyiHC4NbIercXQHtYXkDXobsQ6msToAmJwuiLifqcBrya89mjjGGSPCOYz/RR4BDvvKYq3kFLtaRLnb7gmUpo9yGKkGp6jPPQhntE7GUxI7kBkoY1pzOj5OunPuTdi/MyW2Hv168g65GicvyNrTjBFYX3EmPaFjO/dhy0LJQkfPQ/xsAS5EvhrgmsWRlRIV5IqXXW6kLKS6yLVM6YhSdxmw5qkTEcSpczvsFvK9xktrIoolcHfZRW74VmZORx7PrxE883FHPmwGba7ehFSIjQpk5GiIhsj3uMVsAt9pMFZ2HPuEfI3RLULUWFd99E6Fs7xiNJlfoc4YdeOfIgK6/o9+Ue/xGU5JIHa/A5m/pSjMaYgyp75+/xUkYNqkn0RT1Fw/POQbvctySpISEUrLqxTkSo/acV+OoSomN4F2Fp6GdkDCfExFa6PFDkox4j0YM+515DcprITpSAvRgw1jnh0I2Wlzd/rHyi/EtiJeKvNsT+A3cTPUR4mI2FT5t/NDC0uI0th56BqpPdL2kbi0cQe2AJ/L3ZBg/9v797D7arKe49/59q5BwIBIRC5VSQkIVFCQIgEMUq1UnmoJnuFgPYcnmO9tR7P0bbS8xzbqE8v9qke2x6Ltk+lpUJghYAaja1thZILNCHIJWC4CHKVSJAk7Nz3WrN/vGu5d9aaY44x132v9fs8z3oeyBprzrH3nnOsOcZ4xzu60YXUDj6PtQ5XovdS+0eJaf3UVyOOxbKOJY1qjpVRuG5W2Zul+gFydicr5bGY5Bu0FzJ89LoBLKNX9d/ucbIvwm+npdTODsU0vnhfrLO6m+QIgG4d9R7Awi2q6/wKNnst3e1iLCSn+u/XyGaSrTaZ5EiZn5A925nU+gtqf7e76e41Tm8iOfKoZwbzv0DtD1eidl+TbjCT2iwYMTZTVL1uQeozFYvxT/odV29G1Q2uwNJXV9d3HWMzaUA/OonkEc6nsPUo3ea3SO6sVMcfS/3ej82QVv+OV9F9sxWTsTWA1XU9jEKUx5L/Se3fMAa+RPfNVhyHJXCorutrwHkdrFcvGY+tb0r6HXdj5MbbsLCv6vpuoocG8yNskVHSjXo9je3R0kznkfxQ8xrd3eMdi04CnqT2dz1Ed2Xt+R1qw8BibC+NqR2sl2R3Nskhqj8HLu1gvUYbwPZaSWorx0LI0ljzcZJ/1/8OnNDBeo02k5EEMtWDfv+tg/WS+rhSY6/CMlB2g7OBR6it41gJWRpLjsGid5J+19WbMXbSB7Bw5Op6PkrzN3/uuHHYIrOkG/U+ajfjarffxnZrra7bfsbWovCx5EzgBZKvib+isx3ZY4BCQr1irCGv3shLxoa3ALuo/ZsOY2vrOhkOdDLJo20xllp5cueq1tP+kOTf+fPYiGInvQsLl02q3+92sF5Sv7QB3B9Tmza43a7G1pUmtZErOlivXnYSFqKcdE3cSGc7spOxUNmkuv2UHg5HHcBCGpJ+8L3Y4th2T8W/EduhOqlO3Tot10vOIDm5QYzlr+/E7/8KkmfaYmxxa7eMvEp95lG7qeTowZN2z6ZGx2CuIwAAGmxJREFUWLadpKwxMba4tRXZx2TEJ0gODytiDwztHkGcDvwlyWGBw8BH21wfaa4I90zLwfJ77Q6xmUny+tIYG8xd1ub69JsZJCc3iLEMbZ34/S/BZlBcA7endqBObRVh+6skLcSPsb0srqT18ZwnYnupJM2qVC6Qdu3E3u9OwEKskv4OJWw/n3YsyL+A2l1o9eDYm96AdYiT/s7D2ALCdjTGl2GdYNc197coDKxdriY55CHG9kr5GK2f9Z0MfBLbJ8M1sPe+FtdB2ufTJHeUYyxk+mpav07yWGyWMSmpTIxdi4tbXAcxRwM/wP19sBZLo99q84A1KfW4CxtU6RvvwzZNcv1CHsJGHZu9TmA2tkFP0iLqyuv7aBS93SZgI4qujmwRC9FaTHM7swNYyN8/O84bY2tY/oDuzR4k9ZlG8v4Io0c6/47m7Nky2kQsA9g9KefeC1zb5POK3wLcoRkxFsL6u9iAVzOdhO0i/lLKuR/BNpiT3vJO4Ge4/+5PYJtPNjsr169g6+WSQmQrrw30wSh6lxnAoo2SZlcrg7jfxQa7mvlMksPWct6O+zmshM3+9eUg2hnYjpiumyXGwrL+AevguHaWThNhMaGfIn0kM8Y2lPt9ui9bRz95H+lf2jGWUvHzWJrI8cmHSTUZ+5L4EvCi51xPotGlXvdhklPcVg+gXIftF1TPl8TRWIr3r5E+UBNjCzD1YNo504B/xP2lHWPpaddii97rfaA7HUtRvQ73w0nlIeFv0exuLzuJ5P11qp9PVgHLqb/DPBtbr3s3/uv7j+nTB9Mu8Q7gGdKvieeAL2KhW/WEEE7A1un9Ce4w+MrreeA99f4wWXTzA3iENfpfxH8TloAHgW1YOMfT2OjAEHYzH4s9GJyI5dk/G4tHD7m5v4elHHwq808gzXYstrv3R/FPhw9hHdHHsJHRF7G0e0PYg+VR5eOdhqWvnY2Ffvlu7gPYNfln5f+W3jYTy4kfsqj0VY685nZgHZ492BdA5Zo7A7vmzsEyEPq+/HdjoRlfxWYUpbOWYH+LOQFln8B2n3+8/Kq0QXuwkfGjsAG3s7BrYgFhiWYexDKZbcpYdxmblmIRIL5OcGXG7WGsHXqSkWehISxc5ygsOUzlmrsAeH1AHe7GOjXbsldfmmwqlgzmU/jXd+/H9g/8MdYePcdIOxRjz8bHAqdg10Pl+dgXxTSMJUFaiU0gCHaDfYHkHM+tfG2iTb1GyezNWBylK8a3Fa+DwN9jaxyk/1xC8kZprXwNAV/GFl1KdxmPdRh+SnuviSexlKYa4e4/U7EQZFcSjla9HsAWdnfzAHe/moUlREjaYqFVr2Fs/fDcNvx8Y9Yx2M36E1r3hziMTee/o00/kzTmHOAbJKdabNZrJ/AVejhFn2RyEbZmypWUoxmv57BBGq2X637jsTVFm2ntQ8Im4Bq0Ia1YCOAncWdpasariA3QXIE6KmPBG7BZX19YcSOvXcDX6c4NlbtWhK0d+BrNGd06iE11fpLmL5iU9piKbV70HZrTedkJ3Iplpeu2na2lO0zHFrz+GxZ22ug19wJwA81fMCntMweL+X6Y9HUAoQ+MP8LW5J3Vzh9CxpTzsaQ0aQkhQl+HsYQfn8HCg2TsqSRuuY3mdF52AXdg66M6vt9XL/Sc34DFFL8Zi72bhcVjJi263oPN0DyO7fGxCdiIZd6R3jAOi8m9BFuXMge7RpI6oyVser2y5uARbCO+h8rviYSYBCwC3opNk8/CrrmkZCDDWPKIyjX3EJYKcns7KiptcyL2vbSQkTVyp5H8pb8fW0S7Hbsu7sOuiZ3tqKj0jFOxa+5c7HqbhXU8klJuD2Hrch/Hrrl7se8+rUXoHQPYtXAp9hx0Njb4MYPkZ/8d2PPxdmy9y93AVrpo3WQvdFhcJmKLy6ZgN+GuzlZHusDR2DVRwhpsdVSl1SoLqw9h19z+zlZHOmwAyzY2DRtA20MXPRBITxrPyHdf5Vko7miNpNOmYtdDxEhCBhERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERkTaKOl0BERGRpruJ6UxiOkWmAhPIsZfD7OEodnEF+zpdPRHpA7dzPDHHUGQaMAAUGWAPRfZxAjtZwnCnqzhWqMNSr5uYzgQ+4ylVZBn/l4g4+Li38jZyXJ5aJubn5Ply8DEBVvN+4C2pZUqsZTkbMx13JTnmMYci5wNnkyOXWr7IGq5iS6ZziIhfgflEXOMp9SyD/E3G415NxJtSy5S4n+UUMh73k0ScnFomx/Us5RnPcY4h4nxKXEjEAuCNwJnA0Y5PxMCTwP3ErGc8t/B+XslUdxFxu5XLyfG21DIlNrKctZmOW+A6Io5NLVPkW1zFvcHHvJNxvMwXiFKeh0uUiPgseYrOMquYSY7FwLlEzAPOBk4FJqec/TDwFLCdiPVEfIdlPBFc9z6jDku9VpJjLi8Dx6WWyzGPZTwSfNwCNwIf9JQ6zGSOzTRKWGAzcEFqmYglDHJXahm7KRcCC4lYCLwV3+/gSB8iz99nKC8iIW5hFjke85R6DZie+sVbrcB27Ms3zQPkWRB8zHVMZIhdwKSUUkXgePLsPuJfYyLWsJASlwO/DpwPnoGSdAeBbwF/QJ6nGziOiAAU+CBwo6fUneR5R/Axb2I649mJ716P+TrL+WjwcQu8BfhPT6lt5Jmf+M5q3knM9cBZwedMt5WIlQzy3SYdr2c00sj3t5WUgE3eciXPKEOtxQFlxrOfi4KPeCNTwfswcYhJbHa+W2A+BV5mgBeI+A4RfwS8l2ydFRFplat4HNjhKXU0cG7wMW/nRGBWQMn5FDgm+LhDXEB6ZwXgoZrOCsA/MJESW4DPYbPGjX6PTQSWA9tYzf9q8FgiUmR9QKkLKTAh+JgTuJiQez0KeoYaXf6SgFLun6fE6TSvswKwkJi1FFiXqU3tA+qwNCJmQ0Cp8JunwOuBXwksHX7ciSwCxnlKbU2dsSkxFXhd8DlFpBOa2yYVWUzYTPwAsCj4uCEPCVHQQ08zTSHm/1HgS20+r0hvWcFPgec8paYACzMcNbTdmsvtHB981DjguFHGUPnmeA+wiTs8IXB9RB2WRuSCvlDDZ1jCevoV4Q8dYccNedARke4W0iaFtzMxF2c4d3ibFPKQUOrIQwLAp1jNpzt0bpHeEDV58CQObrciDvPWwGNGENDGxW0fPKmYyzB/3aFzdx11WBoRcx9415GcwhpODzxilqnMRdzpnTXJclx1WETGulLgIEocvH6x+YMoK8lBwANFqYNtUsznKQTPdotItbCH/LD25QYm0YrZmNXMAU7wlHqWPM9mOHdzxXyA2zKsD+xhoQ+8kiTPIQpsAS5NLTfMJeDJdANho44jjuIVzgXuSy31dcYDF3rPPBywHsdvGF1TIp2T40FgDzAtpdQJrGYWeBboh619G+1C1jGRyzmYWmo288Eb5vAUK3gxw7kr9gI/JOZe4AXgZXJMA+YTsxR/8oCKKUT8PvCxOuogIiXWBwyJX8xKcuU1wW5TeAu21ixMeLRKKwZzDwCbgUeI2Y61Qa9RIiLHdEqcQ8TlwLzgI5ZYAfwoYz16jh4uGxWznsjTYbGb4pupJWxxVfgFDFDiYnwdluM5r7z+JM2PuZqdmc4Nu4FtRGwFtpZHU64DPpzxOCLSLHmKFLgHeLen5GJ8HZbJXESc6TtiEntZiC8ZSa7p61di4F+I+CpT+VdHh+kWVvJZ5vBhIr5CyMNPzJWs5Le9D1MiUms7jzKXX5CemOc4ZjMX2OY5WraF9LCQApPJsz+1VMQlAZtOhHRYdgO3EnM7EXd7zwufYTVXEvMNwhIXhYW49Th1WBqVY733gg/p7cdcTMRAxrNfAvxlaokilwQEf/hvyHG8QsxfUGILEVsS039m24VBRFpjPb4Oi7VJvvTiWR8SKp9J77CEPCSErV8pATdS4k/LGdLSWcfjaxTYCawOOP7JzGMe8FBAWREZbSUlCmwErkgtZwMY6R2WrJm/YAKWQfA/UkuFrYtJfz6KWMdkbsm8Ge0g32Y1V5QHe31zUa/PdOwepTUsjZrAPeDdqXQON3szbKXdkK5wspDsFs2Z8lzGEwzyeyynoL0KRLpYSOx4yBe1O0T1JXCEfYWEtYaUGfD+DHeR43zyXBvUWRktz20QuGFdkVMyHVtERvO3Rb4B3fQ1b+5Qe99xV3EqeNcX/4JHPfvo5Xkpc2elYpBNhCVKcW2C21fUYWnUlbyGfwQuYrwnE4X75noKWON4bwa3peT/toW1/oeDsJzpIjIWRGzB1aEY8QZWMdP5riX0SN7rKeYuYIvjkxeXHzCS3cKZkHJe8zJLU8LVruUAeZawrIGY7oibg8rlmFH3OUTEPxjqG8CwNW/J+5FE/A22bi37cQeCZlc2tSEk9NGAMq+0uA5jgjoszeF/4C+l3BzrmIjt1lwrZkPqiGnaTbmGueDNR/5COWe6iPQCi5/e6i2XS2k7drAAOMrxblqbdBzzmJNyzrAQjCggsrwRthg2pJxv9lxE3Lbiz6R6Kqs4w/luWptR5E7cu9QvopASZh8Wqt/6TIVxaoKUCoWlog5Lc4SEYKTdHOm7Pm+gyAZwfoG7HzqKQTekZldEes/d3hK5lD2i0kJJYzak7kGV1u6EbRjZ+v1XcoHrN6O6MpWJCFgmVXeHYkT6bIerLRpiBj9KeYaZRo43OY8alpW1tR2WdUwk4rKAkt9raT3GCHVYmiHibtwdiorzKDhGLNO+xAdYX87glTwimBaLrg0jRfpVY6EY7g7LbrbzMDGbgKKjTFpnJ2TdXevbpBKzgkod4v6W10WktzW6jsXVZtzLEobrGjwpcBxwjqdWBzjak4W1ESvJsZe/Bm/Y6TPs5ZaW1WMMUYelGfK8DDzhKTWOyLEfivtLfOeoWG7XTXkWazjZ8V7IAlh1WER6zwbcHYqK+dyRsB9K+tq3jaykRJ7dwMOJJVydnZuZAd6Owj5KbdlvYEVAmbu4hldbXhOR3lb/4Ilt3pqcIasysLGfe4HDiWVyzrXDi8GbP3Wzd0+penyTaaxmkLlsIOa3PKUPEXMt13Kg6fUYg9RhaZ6Q0Kram9IWqCYvbh0dy50WujWckEFjDacAp3nqs5ucN/+5iIw1+fI+SelyHE74QrdNJU9M/EQ8KlwrcoadnU4hoe0ZFzTje285jKR1CiwE3hNQ8vqW1kOkP4RkUp1NIWHH+fSZF+uw/CZ7wTET6o5Aae1Mb4HrKPCvo14/pMB9FHiGCewipgAs8hzlFSJ+g+XcWXc9eow6LM1SbypRy/OfvHHQ6BtmXOrxa2++knczS4CN5L2jsCIyFoV94SZ9cbu/zEeHX6S3edmOO6K1M743MhXbxNe359VmHuX2ltZFpB/kGcK/S3vyrG7snCE5XJ5ZqXza1RadXM5MWK214fIR5wCXjXotARZig8i+mZ19RHyVAeYzyPfrrkMPUoelWdI7FBWLKDDhiH9Ji+ke/UCwlGeAZxPLJYVgpGUlG/mcwsFEelVYQo2kdsLVJh1k6Ih0xmntR9IxOrum7gYmMYlvAbM9JYco8UHtcC/SJPUPnrjajB+VZ1ZMWltX/Xy0lilY5yFNqbxOr922kuNSBvkdlvKzDpy/q6nD0ixLeQp43lNqCnBu1b+5Hg72AQ8c8S/um/Jcvl21sZAW3Iv0t7D9lc6nwOSqf3O1SVuOiKXO8xI4N2088hjfZBrwZk9dhpk4atS0mW5kKlO5A7wZeYpErMi8GaWIuNUzeGKbbbsGF6qfXcIzqe7nImC8py4Pl8Nq220hJbZQ4Iesdm6W2bfUYWkufzrO6o6Ee4alNpbbnQ1jHAdHrYOxDBi+UcTq0VIR6SUreBHbeDbNRGIu+OX/WQKPNzrKJg1wuNqkc7iJ6b/8v/Eswh+G9UB5I97mupkZTOJO4Nc8JUvEfIxBvtv0Ooj0t7QORcWCIzKp2mbbrvCpI9uiPL8Ax470tYO3IaGpnd7uYQkx6ynwp+UkKII6LM0Wkg1j5OaxzZJOdZSrvWFCY8btBvX9be9T5gmRHueO7R5dZqRNKqV+mSe1b642L8f4USOEaXu+VLQiY+EtnFkO173AU7JIxIdYzt81vQ4i/c4yqT7mKTWO+IgERK62KCbb4Mksbj8iiUh37AXllwOuo8D/73RFuoU6LM1UCpz2XFn+vaftNJ10Qw7yY+BlR/mRY4WsX+n8CIKItF5IJ2B0e+Fqk0pYtp/qfw0bREnbL2pEczsst3EhOe4BzvKUPARcxSA3NPX8IjIi6+CJO/rksXIH6EjuAd2I4fLi/TsZhzsra8ixwpT4BvCRqtcngD8G1gA7g48V8XFuDUrD3vPCdvuVMNt5mLn8AlfWL3Mcc5kNPIr74WCYSQm7w0bEFNgEXJnwmYsoMIE8h7R+RUSA0C/eRRQYIE8xpWOxrRx2caSr+AkFngdOSfiMHWsdExnyznDAuCYucr2V36DETdi6wTQHiVjOIN9u2rlFpJa1Rb59R6zNWMsU9jsWxrtmYsexPiXn6WLgDnawgJxjA+8RT5PnBU+ZdJaK2J2OuMAAMVcQ8WfA2d7jRfw5d7KaJd700D1NMyzNZFll/ItGKx0Kd8fCHcvtHqWYQo4F5QwY1Qv7q8UkjZaKSG8Z5HFgh6fUNEq8uZy4402JJdLDtVzhE+dzA5N4jfOBSZ46PNG0rDir+QQRt+HvrOwi4tfUWRFpi5BB0gspMIF9XIh7YXzycZbyPPC04zM2OJzrksHcPEWW8y0mcgEEDdScwk5+vdXV6nbqsDRf2AaSaQvj06ZO00ZMYxZzgEVQlTq5VvJoqYj0Ftt4NiQZyGIO8FbcC+PdX+LuNmkiR3FB0IxvSLiIT0zErawk5q/wL/B/EVjCIHc1fF4R8cvzNCGZVEucR9rC+PQtJFzt1ILyHkzd0WGpuJLXyPHf8SckgBJvb3V1up06LM0WvoHkYty/f/cNcwL3g2P2xWI+O785m4h0j/DYcXfbUUppMwa861ha/5BQYAKr+SYRfxRQ+mGKXES+Km28iLRWSFuU45LEveXMi+UtJFzHv9vxzngmsgicG1GO1t7no2U8ATzkLRcxp/WV6W7qsDTb0dwH3uxbpwNXO99N27DIYhhr17eYxcQB2XjUYRHpH6F7ILhnQn7KCp5zfnIb28AxYxtzKQTsJ9DIJraWPvkHpLWpI/6NQyxO/XlEpFVC7vO3A4sS3/G1E2nvR3wIOMFz7p3l5EbtFhIOm7Y2ui+ow9Jsl3MQd4ditGWOf3+8vCFbGtcDyOuASwPOrQ6LSP94ANes7IgZuGZYfA8JtnbPNchyGXCs59w7yqOM2RU4jfFsIKTdi/gGr3I5H2BPXecSkcaEDZ68G6o2wh6R3hYt5THg5453Xc9co20sh9G22+sDygy1vBZdTh2W1gjpELhirENCytLK+GK3nyHPs95ziEhvyFMkLMlG9vUrFe5QD197BPWmWC8wH1ufM9dTMibmcwzyP/gIh+s6l4g07lEewTUbO8LdZvg6PJFzj5b0444cP9tg7jomZiqfxNqx+d5yMS82fK4xTh2WVmgsh3fIw8G92N4B2bViczYR6W6NLGoPW5dX//Hr2aRtNe/EOjpJ6ZRHGybmIyxnZR01E5FmSp+N9dkNPOwt1Vhbl+35aIjHWM3nKXBSXee7mdcB/xRUNuIndZ2jh2gfllY4zD1MoEjY6GI1/w2TZz8FtuKK80zTyA6ut3KZp4R/WjNmTupxYnZzFVsy1kxE0tTfoXglMKZ7K7APfyrhWlnXr6zhZIp8H3fa09GeIeJXKfCrmetlddvEIF+p67MiUitiPTHvreOT95Rni9PV39btI8f9GT9zAjGfxXak/yExayjxPVZ4ZkMKTAaWA58DTgs81z9nrFvPUYelFT7AHgo8CJyX8ZMvkefJwLIbqKfDkr4zdbqIHwBR3Z+3Y3wa+HTK+/dSz88lImk2AwchcwhDWEx3nkMU2AyZU28OcXzGbF1FJhHWWQE4s/yqT0yp7s+KSK36OxShAxuVNXuudTAum8nXGbli7dG7iXg3A0CBl4AHsQGTVynxKnAUcBwRs4GLyDa48wB57Z2nDkvrrCd7hyX8Ro5ZT8TvZTz+q2zn0YyfEZGxbmRW1p+x60jhsx82cvr2jMe/p993bxbpM1uB/cDkTJ8K7ejkKVJgE7Z4P1wz9oIacVL5ZTusNDbMWyLifzdepbFPa1haJ/takSzxk8NsgMyjfxvKMaQi0m/qWb+WZUa2vpFTrakT6Sc2ixGSSXW0g0SZQsWzt0WlBsLlWynm/2iDW6MOS6sM13HDZHmguIZXgUcyHr87b0gRab1c5jZpf6aY7gNsgsxZuNRhEek32QdP7iPP/gzHz9rWFcvh6N2kCHyc5Xyx0xXpFuqwtMrV7IBMewsMMSNgt9PRst6U2R9YRKRXHGIj2WZl/zNTTPdvshcyrUc5zIHMI60iMtZlfRbJmphj3y/X7IV6kDy7M52jtf6DHBeT5/pOV6SbqMPSStliIjdmjuXOdtMfZCpbMx1fRHpH1lnZ+mK6s3zm/nInR0T6yQTugUzPO9k6LNdyADKEkGXtEFXEXAVcDzxd1+ePtIuYm4B3keftLNNgTjUtum+lHJ9nmFVBZSOey3z8CXyPA4HpOiP2cnmmEYdaMe9q6PNh5+imUQ6RXnMNMTOCSg5kDDk1Xybm+4HH/1kdxwd4ibjONMVZRexoy3lE+smVvEaBJcRMCio/ua69Wz5CzMygkgNsr+P4sJy1wFoAVjGTcZxHiQVEnAWcAcwEjsOyM04BdgF7sRTwPwO2E7MdeIBdbNDGtun+C0LjSgZe11aVAAAAAElFTkSuQmCC" 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<h3 id="Main-performance-issues">Main performance issues<a class="anchor-link" href="#Main-performance-issues">¶</a></h3><ul>
<li>Dynamic load imbalance</li>
<li>Search overhead</li>
</ul>
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<h3 id="Dynamic-load-balancing-with-replicated-workers-model">Dynamic load balancing with replicated workers model<a class="anchor-link" href="#Dynamic-load-balancing-with-replicated-workers-model">¶</a></h3><ul>
<li>The coordinator searches up to a certain depth in the tree</li>
<li>When the maximum depth is reached, the coordinator delegates the search to a worker</li>
<li>Worker processes repeatedly get work and execute it</li>
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<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=5e4fdbe1">
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<h3 id="Code">Code<a class="anchor-link" href="#Code">¶</a></h3>
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</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=354f5abb">
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<div class="jp-InputArea jp-Cell-inputArea">
<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
<div class="cm-editor cm-s-jupyter">
<div class="highlight hl-julia"><pre><span></span><span class="k">using</span><span class="w"> </span><span class="n">Distributed</span>
</pre></div>
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</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=7f8f6702">
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<div class="jp-InputArea jp-Cell-inputArea">
<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
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<div class="highlight hl-julia"><pre><span></span><span class="k">if</span><span class="w"> </span><span class="n">workers</span><span class="p">()</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="n">procs</span><span class="p">()</span>
<span class="w"> </span><span class="n">addprocs</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
<span class="k">end</span>
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<h3 id="Visit-paths-in-parallel">Visit paths in parallel<a class="anchor-link" href="#Visit-paths-in-parallel">¶</a></h3><ul>
<li>We follow a produce-consumer model using a remote channel</li>
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<div class="highlight hl-julia"><pre><span></span><span class="k">function</span><span class="w"> </span><span class="n">visit_all_paths_dist</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">,</span><span class="n">max_hops</span><span class="p">)</span>
<span class="w"> </span><span class="n">T</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">typeof</span><span class="p">((</span><span class="mi">0</span><span class="p">,</span><span class="kt">Int</span><span class="p">[]))</span>
<span class="w"> </span><span class="n">jobs_chnl</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">RemoteChannel</span><span class="p">(()</span><span class="o">-&gt;</span><span class="kt">Channel</span><span class="p">{</span><span class="kt">T</span><span class="p">}(</span><span class="mi">1</span><span class="p">))</span>
<span class="w"> </span><span class="nd">@sync</span><span class="w"> </span><span class="k">begin</span>
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">w</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">workers</span><span class="p">()</span>
<span class="w"> </span><span class="nd">@spawnat</span><span class="w"> </span><span class="n">w</span><span class="w"> </span><span class="n">consume_jobs</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="n">generate_jobs</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="n">close</span><span class="p">(</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
<span class="k">function</span><span class="w"> </span><span class="n">generate_jobs</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="n">path</span><span class="o">=</span><span class="n">zeros</span><span class="p">(</span><span class="kt">Int</span><span class="p">,</span><span class="n">num_cities</span><span class="p">)</span>
<span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">city</span>
<span class="w"> </span><span class="n">generate_jobs_recursive</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="k">end</span>
<span class="k">function</span><span class="w"> </span><span class="n">generate_jobs_recursive</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="n">max_hops</span>
<span class="w"> </span><span class="nd">@show</span><span class="w"> </span><span class="n">path</span>
<span class="w"> </span><span class="n">put!</span><span class="p">(</span><span class="n">jobs_chnl</span><span class="p">,(</span><span class="n">hops</span><span class="p">,</span><span class="n">copy</span><span class="p">(</span><span class="n">path</span><span class="p">)))</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nb">nothing</span>
<span class="w"> </span><span class="k">else</span>
<span class="w"> </span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span>
<span class="w"> </span><span class="n">connections</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">C_sorted</span><span class="p">[</span><span class="n">city</span><span class="p">]</span>
<span class="w"> </span><span class="n">next_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="p">,</span><span class="n">distance_increment</span><span class="p">)</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">connections</span>
<span class="w"> </span><span class="n">already_visited</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">view</span><span class="p">(</span><span class="n">path</span><span class="p">,</span><span class="mi">1</span><span class="o">:</span><span class="n">hops</span><span class="p">))</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="o">!</span><span class="w"> </span><span class="n">already_visited</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">next_hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">next_city</span>
<span class="w"> </span><span class="n">generate_jobs_recursive</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">next_hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nb">nothing</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
<span class="nd">@everywhere</span><span class="w"> </span><span class="k">function</span><span class="w"> </span><span class="n">consume_jobs</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="k">while</span><span class="w"> </span><span class="nb">true</span>
<span class="w"> </span><span class="k">try</span>
<span class="w"> </span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">take!</span><span class="p">(</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="n">consume_jobs_recursive</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">)</span>
<span class="w"> </span><span class="k">catch</span>
<span class="w"> </span><span class="k">break</span>
<span class="w"> </span><span class="k">end</span><span class="w"> </span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
<span class="nd">@everywhere</span><span class="w"> </span><span class="k">function</span><span class="w"> </span><span class="n">consume_jobs_recursive</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">)</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">!=</span><span class="w"> </span><span class="n">num_cities</span>
<span class="w"> </span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span>
<span class="w"> </span><span class="n">connections</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">C_sorted</span><span class="p">[</span><span class="n">city</span><span class="p">]</span>
<span class="w"> </span><span class="n">next_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="p">,</span><span class="n">distance_increment</span><span class="p">)</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">connections</span>
<span class="w"> </span><span class="n">already_visited</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">view</span><span class="p">(</span><span class="n">path</span><span class="p">,</span><span class="mi">1</span><span class="o">:</span><span class="n">hops</span><span class="p">))</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="o">!</span><span class="w"> </span><span class="n">already_visited</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">next_hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">next_city</span>
<span class="w"> </span><span class="n">consume_jobs_recursive</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">next_hops</span><span class="p">,</span><span class="n">path</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nb">nothing</span>
<span class="w"> </span><span class="k">else</span>
<span class="w"> </span><span class="nd">@show</span><span class="w"> </span><span class="n">path</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nb">nothing</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
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<div class="highlight hl-julia"><pre><span></span><span class="n">C</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">[</span>
<span class="w"> </span><span class="mi">0</span><span class="w"> </span><span class="mi">2</span><span class="w"> </span><span class="mi">3</span><span class="w"> </span><span class="mi">2</span>
<span class="w"> </span><span class="mi">2</span><span class="w"> </span><span class="mi">0</span><span class="w"> </span><span class="mi">4</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="mi">3</span><span class="w"> </span><span class="mi">4</span><span class="w"> </span><span class="mi">0</span><span class="w"> </span><span class="mi">3</span>
<span class="w"> </span><span class="mi">2</span><span class="w"> </span><span class="mi">1</span><span class="w"> </span><span class="mi">3</span><span class="w"> </span><span class="mi">0</span><span class="w"> </span>
<span class="p">]</span>
<span class="n">C_sorted</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">sort_neighbors</span><span class="p">(</span><span class="n">C</span><span class="p">)</span>
<span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="n">max_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">2</span>
<span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">visit_all_paths_dist</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">,</span><span class="n">max_hops</span><span class="p">)</span>
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<h3 id="How-to-track-the-global-minimum-distance?">How to track the global minimum distance?<a class="anchor-link" href="#How-to-track-the-global-minimum-distance?">¶</a></h3>
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" 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<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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<h3 id="Simplified-example">Simplified example<a class="anchor-link" href="#Simplified-example">¶</a></h3><ul>
<li>Each worker generates a random value and updates a globally shared minimum</li>
</ul>
</div>
</div>
</div>
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=d0303392">
<div class="jp-Cell-inputWrapper" tabindex="0">
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
<div class="cm-editor cm-s-jupyter">
<div class="highlight hl-julia"><pre><span></span><span class="n">buffer</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span><span class="w"> </span><span class="c"># Very important</span>
<span class="n">min_distance_chnl</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">RemoteChannel</span><span class="p">(()</span><span class="o">-&gt;</span><span class="kt">Channel</span><span class="p">{</span><span class="kt">Int</span><span class="p">}(</span><span class="n">buffer</span><span class="p">))</span>
<span class="n">put!</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">,</span><span class="n">typemax</span><span class="p">(</span><span class="kt">Int</span><span class="p">))</span>
<span class="nd">@sync</span><span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">w</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">workers</span><span class="p">()</span>
<span class="w"> </span><span class="nd">@spawnat</span><span class="w"> </span><span class="n">w</span><span class="w"> </span><span class="k">begin</span>
<span class="w"> </span><span class="n">sleep</span><span class="p">(</span><span class="n">rand</span><span class="p">(</span><span class="mi">1</span><span class="o">:</span><span class="mi">3</span><span class="p">))</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">take!</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="nd">@show</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="n">distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">rand</span><span class="p">(</span><span class="mi">5</span><span class="o">:</span><span class="mi">10</span><span class="p">)</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">min</span><span class="p">(</span><span class="n">distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="nd">@show</span><span class="w"> </span><span class="n">distance</span>
<span class="w"> </span><span class="n">put!</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
<span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">take!</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">)</span>
<span class="nd">@show</span><span class="w"> </span><span class="n">min_distance</span>
<span class="n">close</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">)</span>
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<h3 id="Final-parallel-implementation">Final parallel implementation<a class="anchor-link" href="#Final-parallel-implementation">¶</a></h3>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
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<div class="highlight hl-julia"><pre><span></span><span class="k">function</span><span class="w"> </span><span class="n">tsp_dist</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">,</span><span class="n">max_hops</span><span class="p">)</span>
<span class="w"> </span><span class="n">T</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">typeof</span><span class="p">((</span><span class="mi">0</span><span class="p">,</span><span class="kt">Int</span><span class="p">[],</span><span class="mi">0</span><span class="p">))</span>
<span class="w"> </span><span class="n">jobs_chnl</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">RemoteChannel</span><span class="p">(()</span><span class="o">-&gt;</span><span class="kt">Channel</span><span class="p">{</span><span class="kt">T</span><span class="p">}(</span><span class="mi">1</span><span class="p">))</span>
<span class="w"> </span><span class="n">min_distance_chnl</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">RemoteChannel</span><span class="p">(()</span><span class="o">-&gt;</span><span class="kt">Channel</span><span class="p">{</span><span class="kt">Int</span><span class="p">}(</span><span class="mi">1</span><span class="p">))</span>
<span class="w"> </span><span class="n">put!</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">,</span><span class="n">typemax</span><span class="p">(</span><span class="kt">Int</span><span class="p">))</span>
<span class="w"> </span><span class="nd">@sync</span><span class="w"> </span><span class="k">begin</span>
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">w</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">workers</span><span class="p">()</span>
<span class="w"> </span><span class="nd">@spawnat</span><span class="w"> </span><span class="n">w</span><span class="w"> </span><span class="n">consume_jobs</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">,</span><span class="n">min_distance_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="n">generate_jobs</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="n">close</span><span class="p">(</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">take!</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="n">close</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">min_distance</span>
<span class="k">end</span>
<span class="k">function</span><span class="w"> </span><span class="n">generate_jobs</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="n">path</span><span class="o">=</span><span class="n">zeros</span><span class="p">(</span><span class="kt">Int</span><span class="p">,</span><span class="n">num_cities</span><span class="p">)</span>
<span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">city</span>
<span class="w"> </span><span class="n">distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span>
<span class="w"> </span><span class="n">generate_jobs_recursive</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">,</span><span class="n">distance</span><span class="p">)</span>
<span class="k">end</span>
<span class="k">function</span><span class="w"> </span><span class="n">generate_jobs_recursive</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">,</span><span class="n">distance</span><span class="p">)</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="n">max_hops</span>
<span class="w"> </span><span class="c">#@show path, distance</span>
<span class="w"> </span><span class="n">put!</span><span class="p">(</span><span class="n">jobs_chnl</span><span class="p">,(</span><span class="n">hops</span><span class="p">,</span><span class="n">copy</span><span class="p">(</span><span class="n">path</span><span class="p">),</span><span class="n">distance</span><span class="p">))</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nb">nothing</span>
<span class="w"> </span><span class="k">else</span>
<span class="w"> </span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span>
<span class="w"> </span><span class="n">connections</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">C_sorted</span><span class="p">[</span><span class="n">city</span><span class="p">]</span>
<span class="w"> </span><span class="n">next_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="p">,</span><span class="n">distance_increment</span><span class="p">)</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">connections</span>
<span class="w"> </span><span class="n">already_visited</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">view</span><span class="p">(</span><span class="n">path</span><span class="p">,</span><span class="mi">1</span><span class="o">:</span><span class="n">hops</span><span class="p">))</span>
<span class="w"> </span><span class="n">next_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">distance</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">distance_increment</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="o">!</span><span class="w"> </span><span class="n">already_visited</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">next_hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">next_city</span>
<span class="w"> </span><span class="n">generate_jobs_recursive</span><span class="p">(</span>
<span class="w"> </span><span class="n">C_sorted</span><span class="p">,</span><span class="n">next_hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">,</span><span class="n">next_distance</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nb">nothing</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
<span class="nd">@everywhere</span><span class="w"> </span><span class="k">function</span><span class="w"> </span><span class="n">consume_jobs</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">,</span><span class="n">min_distance_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="k">while</span><span class="w"> </span><span class="nb">true</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">take!</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="n">put!</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="k">try</span>
<span class="w"> </span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">take!</span><span class="p">(</span><span class="n">jobs_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="n">consume_jobs_recursive</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">min_distance_chnl</span><span class="p">,</span><span class="n">distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="k">catch</span>
<span class="w"> </span><span class="k">break</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
<span class="nd">@everywhere</span><span class="w"> </span><span class="k">function</span><span class="w"> </span><span class="n">consume_jobs_recursive</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">min_distance_chnl</span><span class="p">,</span><span class="n">distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">distance</span><span class="w"> </span><span class="o">&gt;=</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">)</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">!=</span><span class="w"> </span><span class="n">num_cities</span>
<span class="w"> </span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span>
<span class="w"> </span><span class="n">connections</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">C_sorted</span><span class="p">[</span><span class="n">city</span><span class="p">]</span>
<span class="w"> </span><span class="n">next_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span>
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="p">,</span><span class="n">distance_increment</span><span class="p">)</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">connections</span>
<span class="w"> </span><span class="n">already_visited</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">view</span><span class="p">(</span><span class="n">path</span><span class="p">,</span><span class="mi">1</span><span class="o">:</span><span class="n">hops</span><span class="p">))</span>
<span class="w"> </span><span class="n">next_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">distance</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">distance_increment</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="o">!</span><span class="w"> </span><span class="n">already_visited</span>
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">next_hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">next_city</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">consume_jobs_recursive</span><span class="p">(</span>
<span class="w"> </span><span class="n">C_sorted</span><span class="p">,</span><span class="n">next_hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">min_distance_chnl</span><span class="p">,</span><span class="n">next_distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="k">else</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">take!</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">)</span>
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">min</span><span class="p">(</span><span class="n">min_distance</span><span class="p">,</span><span class="n">distance</span><span class="p">)</span>
<span class="w"> </span><span class="n">put!</span><span class="p">(</span><span class="n">min_distance_chnl</span><span class="p">,</span><span class="n">min_distance</span><span class="p">)</span>
<span class="w"> </span><span class="c">#@show path, distance, min_distance</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
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<div class="highlight hl-julia"><pre><span></span><span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="n">max_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">2</span>
<span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_dist</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">,</span><span class="n">max_hops</span><span class="p">)</span>
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<div class="highlight hl-julia"><pre><span></span><span class="n">n</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">18</span><span class="w"> </span><span class="c"># Safe to run up to 18</span>
<span class="k">using</span><span class="w"> </span><span class="n">Random</span>
<span class="n">Random</span><span class="o">.</span><span class="n">seed!</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="n">C</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">rand</span><span class="p">(</span><span class="mi">1</span><span class="o">:</span><span class="mi">10</span><span class="p">,</span><span class="n">n</span><span class="p">,</span><span class="n">n</span><span class="p">)</span>
<span class="n">C_sorted</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">sort_neighbors</span><span class="p">(</span><span class="n">C</span><span class="p">)</span>
<span class="n">city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
<span class="n">T1</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nd">@elapsed</span><span class="w"> </span><span class="n">min_serial</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_serial</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
<span class="n">max_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">2</span>
<span class="n">P</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">nworkers</span><span class="p">()</span>
<span class="n">TP</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nd">@elapsed</span><span class="w"> </span><span class="n">min_dist</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_dist</span><span class="p">(</span><span class="n">C_sorted</span><span class="p">,</span><span class="n">city</span><span class="p">,</span><span class="n">max_hops</span><span class="p">)</span>
<span class="n">println</span><span class="p">(</span><span class="s">"Sequential time = "</span><span class="p">,</span><span class="w"> </span><span class="n">T1</span><span class="p">)</span>
<span class="n">println</span><span class="p">(</span><span class="s">"Parallel time = "</span><span class="p">,</span><span class="w"> </span><span class="n">TP</span><span class="p">)</span>
<span class="n">println</span><span class="p">(</span><span class="s">"Speedup = "</span><span class="p">,</span><span class="w"> </span><span class="n">T1</span><span class="o">/</span><span class="n">TP</span><span class="p">)</span>
<span class="n">println</span><span class="p">(</span><span class="s">"Optimal speedup = "</span><span class="p">,</span><span class="w"> </span><span class="n">P</span><span class="p">)</span>
<span class="n">println</span><span class="p">(</span><span class="s">"Efficiency = "</span><span class="p">,</span><span class="w"> </span><span class="mi">100</span><span class="o">*</span><span class="p">(</span><span class="n">T1</span><span class="o">/</span><span class="n">TP</span><span class="p">)</span><span class="o">/</span><span class="n">P</span><span class="p">,</span><span class="w"> </span><span class="s">"%"</span><span class="p">)</span>
<span class="nd">@test</span><span class="w"> </span><span class="n">min_serial</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="n">min_dist</span>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
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