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XM_40017/dev/tsp_src/index.html
Documenter.jl 355180f81b build based on abd74c8
2023-08-30 10:26:25 +00:00

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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 */
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.highlight .sc { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Char */
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.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
*/
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border-top: 1px solid #a0a0a0;
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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;
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max-width: 15px;
}
.lm-ScrollBar-button:hover {
background-color: #dadada;
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.lm-ScrollBar-button.lm-mod-active {
background-color: #cdcdcd;
}
.lm-ScrollBar-track {
background: #f0f0f0;
}
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background: #cdcdcd;
}
.lm-ScrollBar-thumb:hover {
background: #bababa;
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.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;
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.lm-CommandPalette-search {
flex: 0 0 auto;
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.lm-CommandPalette-content {
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padding: 0;
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.lm-CommandPalette-header {
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text-overflow: ellipsis;
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.lm-CommandPalette-item {
display: flex;
flex-direction: row;
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.lm-CommandPalette-itemIcon {
flex: 0 0 auto;
}
.lm-CommandPalette-itemContent {
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overflow: hidden;
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.lm-CommandPalette-itemShortcut {
flex: 0 0 auto;
}
.lm-CommandPalette-itemLabel {
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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;
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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 {
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z-index: 2;
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display: none !important;
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.lm-DockPanel-handle:after {
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
content: '';
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.lm-DockPanel-handle[data-orientation='horizontal'] {
cursor: ew-resize;
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.lm-DockPanel-handle[data-orientation='vertical'] {
cursor: ns-resize;
}
.lm-DockPanel-handle[data-orientation='horizontal']:after {
left: 50%;
min-width: 8px;
transform: translateX(-50%);
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.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;
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.lm-Menu-item {
display: table-row;
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.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;
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.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 {
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flex-direction: column;
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}
.jp-Collapse-header {
padding: 1px 12px;
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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 {
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}
.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,PHN2ZyB3aWR0aD0iMTQiIGhlaWdodD0iMTQiIHZpZXdCb3g9IjAgMCAxNCAxNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPGcgY2xpcC1wYXRoPSJ1cmwoI2NsaXAwXzEzN18xOTQ5MikiPgo8cGF0aCBjbGFzcz0ianAtaWNvbjMiIGQ9Ik00Ljc1IDQuOTMwNjZINi42MjVWNi44MDU2NkM2LjYyNSA3LjAxMTkxIDYuNzkzNzUgNy4xODA2NiA3IDcuMTgwNjZDNy4yMDYyNSA3LjE4MDY2IDcuMzc1IDcuMDExOTEgNy4zNzUgNi44MDU2NlY0LjkzMDY2SDkuMjVDOS40NTYyNSA0LjkzMDY2IDkuNjI1IDQuNzYxOTEgOS42MjUgNC41NTU2NkM5LjYyNSA0LjM0OTQxIDkuNDU2MjUgNC4xODA2NiA5LjI1IDQuMTgwNjZINy4zNzVWMi4zMDU2NkM3LjM3NSAyLjA5OTQxIDcuMjA2MjUgMS45MzA2NiA3IDEuOTMwNjZDNi43OTM3NSAxLjkzMDY2IDYuNjI1IDIuMDk5NDEgNi42MjUgMi4zMDU2NlY0LjE4MDY2SDQuNzVDNC41NDM3NSA0LjE4MDY2IDQuMzc1IDQuMzQ5NDEgNC4zNzUgNC41NTU2NkM0LjM3NSA0Ljc2MTkxIDQuNTQzNzUgNC45MzA2NiA0Ljc1IDQuOTMwNjZaIiBmaWxsPSIjNjE2MTYxIiBzdHJva2U9IiM2MTYxNjEiIHN0cm9rZS13aWR0aD0iMC43Ii8+CjwvZz4KPHBhdGggY2xhc3M9ImpwLWljb24zIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiIGNsaXAtcnVsZT0iZXZlbm9kZCIgZD0iTTExLjUgOS41VjExLjVMMi41IDExLjVWOS41TDExLjUgOS41Wk0xMiA4QzEyLjU1MjMgOCAxMyA4LjQ0NzcyIDEzIDlWMTJDMTMgMTIuNTUyMyAxMi41NTIzIDEzIDEyIDEzTDIgMTNDMS40NDc3MiAxMyAxIDEyLjU1MjMgMSAxMlY5QzEgOC40NDc3MiAxLjQ0NzcxIDggMiA4TDEyIDhaIiBmaWxsPSIjNjE2MTYxIi8+CjxkZWZzPgo8Y2xpcFBhdGggaWQ9ImNsaXAwXzEzN18xOTQ5MiI+CjxyZWN0IGNsYXNzPSJqcC1pY29uMyIgd2lkdGg9IjYiIGhlaWdodD0iNiIgZmlsbD0id2hpdGUiIHRyYW5zZm9ybT0ibWF0cml4KC0xIDAgMCAxIDEwIDEuNTU1NjYpIi8+CjwvY2xpcFBhdGg+CjwvZGVmcz4KPC9zdmc+Cg==);
--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,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yMCA4aC0yLjgxYy0uNDUtLjc4LTEuMDctMS40NS0xLjgyLTEuOTZMMTcgNC40MSAxNS41OSAzbC0yLjE3IDIuMTdDMTIuOTYgNS4wNiAxMi40OSA1IDEyIDVjLS40OSAwLS45Ni4wNi0xLjQxLjE3TDguNDEgMyA3IDQuNDFsMS42MiAxLjYzQzcuODggNi41NSA3LjI2IDcuMjIgNi44MSA4SDR2MmgyLjA5Yy0uMDUuMzMtLjA5LjY2LS4wOSAxdjFINHYyaDJ2MWMwIC4zNC4wNC42Ny4wOSAxSDR2MmgyLjgxYzEuMDQgMS43OSAyLjk3IDMgNS4xOSAzczQuMTUtMS4yMSA1LjE5LTNIMjB2LTJoLTIuMDljLjA1LS4zMy4wOS0uNjYuMDktMXYtMWgydi0yaC0ydi0xYzAtLjM0LS4wNC0uNjctLjA5LTFIMjBWOHptLTYgOGgtNHYtMmg0djJ6bTAtNGgtNHYtMmg0djJ6Ii8+CiAgPC9nPgo8L3N2Zz4K);
--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>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><p>Let us start by presenting the <a href="https://en.wikipedia.org/wiki/Travelling_salesman_problem">traveling sales person (ASP) problem</a> and its solution using a <a href="https://en.wikipedia.org/wiki/Branch_and_bound">branch and bound algorithm</a>.</p>
<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>
</ul>
<p>Note that there we consider a version of the problem in which do not return to the initial city. However, the classic version of the problem includes returning to the initial city.</p>
<p>As for the ASP problem we represent the distance table as a matrix, where $C_{ij}$ is the distance from node $i$ to node $j$. Next figure shows the input and solution (output) of the TSP problem for a simple 4-node graph.</p>
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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><p>We consider a <a href="https://en.wikipedia.org/wiki/Branch_and_bound">branch and bound strategy</a> to solve the ASP problem. The first ingredient of this strategy is to enumerate all potential solutions of the problem using a search tree. The tree is defined as follows:</p>
<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>
</ul>
<p>The nearest city first heuristic is a way to speed up the search as we increase the possibility of finding the solution in the first paths enumerated in the tree.</p>
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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><p>We look for a solution by going over the branches of the search tree via first-depth search. Each time we hit a lead in the tree we have a route between all cities and this a possible solution of the TSP problem (called a partial solution). In this process, we keep track of which is the shortest partial solution found so far. Note that we don't need to completely traverse all branches. In some cases, the distance at an intermediate point in a route will be already equal or greater than the best distance found so-far. In this case, we don't need to continue moving within this branch and we can jump to the next one. This is the "bound" criterion in our branch and bound strategy, which is also referred to as "pruning" the search tree.</p>
<p>In the example below, the first route has distance 6. At an intermediate point of the 2nd route we have already covered a distance equal to 6 which guarantees that the solution will not be in this part of the tree.</p>
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" 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<p>Thus, there are only 2 more complete routes that we need to visit. Using this strategy we have significantly reduced the routes visited: from 6 possible routes to 3 visited routes.</p>
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" width="300"/>
</div>
</div>
</div>
</div>
</div>
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=4fe017a4">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
<h2 id="Serial-implementation">Serial implementation<a class="anchor-link" href="#Serial-implementation"></a></h2>
</div>
</div>
</div>
</div>
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=40027c85">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
<h3 id="Input-distance">Input distance<a class="anchor-link" href="#Input-distance"></a></h3>
</div>
</div>
</div>
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=2eeecdd6">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<div class="jp-InputArea jp-Cell-inputArea">
<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</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</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>
</pre></div>
</div>
</div>
</div>
</div>
<div class="jp-Cell-outputWrapper">
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
</div>
<div class="jp-OutputArea jp-Cell-outputArea">
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[1]:</div>
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
<pre>4×4 Matrix{Int64}:
0 2 3 2
2 0 4 1
3 4 0 3
2 1 3 0</pre>
</div>
</div>
</div>
</div>
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=03cac0a1">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<div class="jp-InputArea jp-Cell-inputArea">
<div class="jp-InputPrompt jp-InputArea-prompt">In [24]:</div>
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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="p">[(</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mi">2</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">4</span><span class="p">,</span><span class="mi">4</span><span class="p">)],</span>
<span class="w"> </span><span class="p">[(</span><span class="mi">2</span><span class="p">,</span><span class="mi">0</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">4</span><span class="p">,</span><span class="mi">1</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">)],</span>
<span class="w"> </span><span class="p">[(</span><span class="mi">3</span><span class="p">,</span><span class="mi">0</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">3</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">4</span><span class="p">,</span><span class="mi">10</span><span class="p">)],</span><span class="w"> </span>
<span class="w"> </span><span class="p">[(</span><span class="mi">4</span><span class="p">,</span><span class="mi">0</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">4</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">10</span><span class="p">)]</span>
<span class="p">]</span>
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<pre>4-element Vector{Vector{Tuple{Int64, Int64}}}:
[(1, 0), (2, 2), (3, 3), (4, 4)]
[(2, 0), (4, 1), (1, 2), (3, 3)]
[(3, 0), (1, 3), (2, 3), (4, 10)]
[(4, 0), (2, 1), (1, 4), (3, 10)]</pre>
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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="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="mi">2</span><span class="o">:</span><span class="k">end</span><span class="p">]</span>
<span class="w"> </span><span class="k">end</span>
<span class="k">end</span>
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<pre>sort_neighbors (generic function with 1 method)</pre>
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<div class="highlight hl-julia"><pre><span></span><span class="n">connections</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>
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<h3 id="Implementation">Implementation<a class="anchor-link" href="#Implementation"></a></h3>
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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</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
<span class="w"> </span><span class="c">#connections = sort_neighbors(C)</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">connections</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">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">connections</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">connections</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">connections</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">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">path</span><span class="p">,</span><span class="w"> </span><span class="n">distance</span><span class="p">,</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">else</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">current_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="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="p">[</span><span class="n">current_city</span><span class="p">]</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="o">!</span><span class="n">visited</span><span class="p">(</span><span class="n">next_city</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">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="k">if</span><span class="w"> </span><span class="n">next_distance</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="n">min_distance</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="n">connections</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">end</span><span class="w"> </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="k">end</span>
<span class="k">function</span><span class="w"> </span><span class="n">visited</span><span class="p">(</span><span class="n">city</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">for</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span><span class="o">:</span><span class="n">hops</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">i</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="k">return</span><span class="w"> </span><span class="nb">true</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">false</span>
<span class="k">end</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">tsp_serial</span><span class="p">(</span><span class="n">C</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
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<pre>(path, distance, min_distance) = ([1, 2, 4, 3], 13, 13)
(path, distance, min_distance) = ([1, 3, 2, 4], 7, 7)
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<pre>7</pre>
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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</span><span class="p">,</span><span class="n">city</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">sort_neighbors</span><span class="p">(</span><span class="n">C</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">connections</span><span class="p">)</span>
<span class="w"> </span><span class="n">current_route</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(;</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="n">distance</span><span class="o">=</span><span class="kt">Ref</span><span class="p">(</span><span class="mi">0</span><span class="p">))</span>
<span class="w"> </span><span class="n">min_route</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(;</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="n">distance</span><span class="o">=</span><span class="kt">Ref</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="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">current_route</span><span class="o">.</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">tsp_serial_recursive!</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">current_route</span><span class="p">,</span><span class="n">min_route</span><span class="p">)</span>
<span class="w"> </span><span class="n">min_route</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">connections</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">current_route</span><span class="p">,</span><span class="n">min_route</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">connections</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="k">if</span><span class="w"> </span><span class="n">current_route</span><span class="o">.</span><span class="n">distance</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="n">min_route</span><span class="o">.</span><span class="n">distance</span>
<span class="w"> </span><span class="n">min_route</span><span class="o">.</span><span class="n">path</span><span class="w"> </span><span class="o">.=</span><span class="w"> </span><span class="n">current_route</span><span class="o">.</span><span class="n">path</span>
<span class="w"> </span><span class="n">min_route</span><span class="o">.</span><span class="n">distance</span><span class="p">[]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">current_route</span><span class="o">.</span><span class="n">distance</span><span class="w"> </span>
<span class="w"> </span><span class="k">return</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">else</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">current_city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">current_route</span><span class="o">.</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="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="p">[</span><span class="n">current_city</span><span class="p">]</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="o">!</span><span class="n">visited</span><span class="p">(</span><span class="n">next_city</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">current_route</span><span class="o">.</span><span class="n">path</span><span class="p">)</span>
<span class="w"> </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">current_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="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">next_distance</span><span class="w"> </span><span class="o">&lt;</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">tsp_serial_recursive</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="n">hops</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span><span class="n">current_route</span><span class="p">,</span><span class="n">min_route</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">end</span><span class="w"> </span>
<span class="w"> </span><span class="k">end</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">visited</span><span class="p">(</span><span class="n">city</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">for</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span><span class="o">:</span><span class="n">hops</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">i</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="k">return</span><span class="w"> </span><span class="nb">true</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">false</span>
<span class="k">end</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">tsp_serial</span><span class="p">(</span><span class="n">C</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
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<h3 id="Generating-some-test-data">Generating some test data<a class="anchor-link" href="#Generating-some-test-data"></a></h3><p>The following function generates a random symmetric distance matrix, we have used a large. Note that the TSP problem at least requires that the underlying graph is connected (otherwise there is no route that visits all nodes). The next function does not guarantee this. In any case, we can still used a non-connected graph as input. The outcome of the search will be that there is no possible route.</p>
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<div class="highlight hl-julia"><pre><span></span><span class="k">function</span><span class="w"> </span><span class="n">rand_symmetric_distance_table</span><span class="p">(</span><span class="n">n</span><span class="p">)</span>
<span class="w"> </span><span class="n">threshold</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mf">0.2</span>
<span class="w"> </span><span class="n">mincost</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">3</span>
<span class="w"> </span><span class="n">maxcost</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">10</span>
<span class="w"> </span><span class="n">infinity</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">10000</span><span class="o">*</span><span class="n">maxcost</span>
<span class="w"> </span><span class="n">C</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">fill</span><span class="p">(</span><span class="n">infinity</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="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">j</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="mi">1</span><span class="o">:</span><span class="n">n</span>
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="mi">1</span><span class="o">:</span><span class="n">j</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">rand</span><span class="p">()</span><span class="w"> </span><span class="o">&gt;</span><span class="w"> </span><span class="n">threshold</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="n">j</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">rand</span><span class="p">(</span><span class="n">mincost</span><span class="o">:</span><span class="n">maxcost</span><span class="p">)</span>
<span class="w"> </span><span class="n">C</span><span class="p">[</span><span class="n">j</span><span class="p">,</span><span class="n">i</span><span class="p">]</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="n">j</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="n">C</span><span class="p">[</span><span class="n">j</span><span class="p">,</span><span class="n">j</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="n">C</span><span class="p">,</span><span class="n">infinity</span>
<span class="k">end</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">10000</span>
<span class="n">C</span><span class="p">,</span><span class="w"> </span><span class="n">inf</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">rand_symmetric_distance_table</span><span class="p">(</span><span class="n">n</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="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="o">=</span><span class="w"> </span><span class="n">tsp_serial</span><span class="p">(</span><span class="n">C</span><span class="p">,</span><span class="n">city</span><span class="p">)</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">inf</span>
<span class="w"> </span><span class="n">println</span><span class="p">(</span><span class="s">"The input graph is nonconnected"</span><span class="p">)</span>
<span class="k">else</span>
<span class="w"> </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="k">end</span>
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" width="300"/>
</div>
</div>
</div>
</div>
</div>
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6f8100ad">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
</div>
</div>
</div>
</div>
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=bef63110">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
</div>
</div>
</div>
</div>
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=9f66ca90">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
</div>
</div>
</div>
</div>
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=88b90b22">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
</div>
</div>
</div>
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=8850d90e">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<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>
</div>
</div>
</div>
</div>
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=5d4935ee">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<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">if</span><span class="w"> </span><span class="n">procs</span><span class="p">()</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="n">workers</span><span class="p">()</span>
<span class="w"> </span><span class="n">addprocs</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span>
<span class="k">end</span>
</pre></div>
</div>
</div>
</div>
</div>
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=4a2756ae">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<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="nd">@everywhere</span><span class="w"> </span><span class="k">function</span><span class="w"> </span><span class="n">visited</span><span class="p">(</span><span class="n">city</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">for</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span><span class="o">:</span><span class="n">hops</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">i</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="k">return</span><span class="w"> </span><span class="nb">true</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">false</span>
<span class="k">end</span>
</pre></div>
</div>
</div>
</div>
</div>
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=78095098">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<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="n">connections</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">[</span>
<span class="w"> </span><span class="p">[(</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">),(</span><span class="mi">4</span><span class="p">,</span><span class="mi">39</span><span class="p">),(</span><span class="mi">5</span><span class="p">,</span><span class="mi">76</span><span class="p">),</span><span class="w"> </span><span class="p">(</span><span class="mi">6</span><span class="p">,</span><span class="mi">78</span><span class="p">),(</span><span class="mi">3</span><span class="p">,</span><span class="mi">94</span><span class="p">),(</span><span class="mi">2</span><span class="p">,</span><span class="mi">97</span><span class="p">)],</span>
<span class="w"> </span><span class="p">[(</span><span class="mi">2</span><span class="p">,</span><span class="mi">0</span><span class="p">),(</span><span class="mi">5</span><span class="p">,</span><span class="mi">25</span><span class="p">),(</span><span class="mi">4</span><span class="p">,</span><span class="mi">58</span><span class="p">),(</span><span class="mi">3</span><span class="p">,</span><span class="mi">62</span><span class="p">),(</span><span class="mi">1</span><span class="p">,</span><span class="mi">97</span><span class="p">),(</span><span class="mi">6</span><span class="p">,</span><span class="mi">109</span><span class="p">)],</span>
<span class="w"> </span><span class="p">[(</span><span class="mi">3</span><span class="p">,</span><span class="mi">0</span><span class="p">),(</span><span class="mi">6</span><span class="p">,</span><span class="mi">58</span><span class="p">),(</span><span class="mi">2</span><span class="p">,</span><span class="mi">62</span><span class="p">),(</span><span class="mi">4</span><span class="p">,</span><span class="mi">68</span><span class="p">),(</span><span class="mi">5</span><span class="p">,</span><span class="mi">70</span><span class="p">),(</span><span class="mi">1</span><span class="p">,</span><span class="mi">94</span><span class="p">)],</span>
<span class="w"> </span><span class="p">[(</span><span class="mi">4</span><span class="p">,</span><span class="mi">0</span><span class="p">),(</span><span class="mi">5</span><span class="p">,</span><span class="mi">38</span><span class="p">),(</span><span class="mi">1</span><span class="p">,</span><span class="mi">39</span><span class="p">),(</span><span class="mi">2</span><span class="p">,</span><span class="mi">58</span><span class="p">),(</span><span class="mi">3</span><span class="p">,</span><span class="mi">68</span><span class="p">),(</span><span class="mi">6</span><span class="p">,</span><span class="mi">78</span><span class="p">)],</span>
<span class="w"> </span><span class="p">[(</span><span class="mi">5</span><span class="p">,</span><span class="mi">0</span><span class="p">),(</span><span class="mi">2</span><span class="p">,</span><span class="mi">25</span><span class="p">),(</span><span class="mi">4</span><span class="p">,</span><span class="mi">38</span><span class="p">),(</span><span class="mi">3</span><span class="p">,</span><span class="mi">70</span><span class="p">),(</span><span class="mi">1</span><span class="p">,</span><span class="mi">76</span><span class="p">),(</span><span class="mi">6</span><span class="p">,</span><span class="mi">104</span><span class="p">)],</span>
<span class="w"> </span><span class="p">[(</span><span class="mi">6</span><span class="p">,</span><span class="mi">0</span><span class="p">),(</span><span class="mi">3</span><span class="p">,</span><span class="mi">58</span><span class="p">),(</span><span class="mi">1</span><span class="p">,</span><span class="mi">78</span><span class="p">),(</span><span class="mi">4</span><span class="p">,</span><span class="mi">78</span><span class="p">),(</span><span class="mi">5</span><span class="p">,</span><span class="mi">104</span><span class="p">),(</span><span class="mi">2</span><span class="p">,</span><span class="mi">109</span><span class="p">)]</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">tsp_serial</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="n">city</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="nd">@everywhere</span><span class="w"> </span><span class="k">function</span><span class="w"> </span><span class="n">tsp_dist_impl</span><span class="p">(</span><span class="n">connections</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">current_distance</span><span class="p">,</span><span class="n">min_distance</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">ftr_result</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">connections</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="k">if</span><span class="w"> </span><span class="n">current_distance</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="n">min_distance</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">ftr_result</span><span class="w"> </span><span class="o">!==</span><span class="w"> </span><span class="nb">nothing</span>
<span class="w"> </span><span class="nd">@spawnat</span><span class="w"> </span><span class="mi">1</span><span class="w"> </span><span class="k">begin</span>
<span class="w"> </span><span class="n">result</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">fetch</span><span class="p">(</span><span class="n">ftr_result</span><span class="p">)</span>
<span class="w"> </span><span class="n">result</span><span class="o">.</span><span class="n">path</span><span class="w"> </span><span class="o">.=</span><span class="w"> </span><span class="n">path</span>
<span class="w"> </span><span class="n">result</span><span class="o">.</span><span class="n">min_distance_ref</span><span class="p">[]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">current_distance</span>
<span class="w"> </span><span class="k">end</span><span class="w"> </span><span class="o">|&gt;</span><span class="w"> </span><span class="n">wait</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">current_distance</span>
<span class="w"> </span><span class="k">end</span>
<span class="w"> </span><span class="k">elseif</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">&lt;=</span><span class="w"> </span><span class="n">max_hops</span>
<span class="w"> </span><span class="n">current_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="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="p">[</span><span class="n">current_city</span><span class="p">]</span>
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="o">!</span><span class="n">visited</span><span class="p">(</span><span class="n">next_city</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">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">next_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">current_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="n">next_distance</span><span class="w"> </span><span class="o">&lt;</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">tsp_dist_impl</span><span class="p">(</span><span class="n">connections</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="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">,</span><span class="n">ftr_result</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">end</span><span class="w"> </span>
<span class="w"> </span><span class="k">else</span>
<span class="w"> </span><span class="k">if</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="nb">nothing</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">path</span><span class="p">,</span><span class="n">current_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="n">min_distance</span>
<span class="k">end</span>
<span class="k">function</span><span class="w"> </span><span class="n">tsp_dist</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
<span class="w"> </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="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">connections</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">current_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">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">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">Any</span><span class="p">}(</span><span class="mi">10</span><span class="p">))</span>
<span class="w"> </span><span class="n">ftr_result</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nd">@spawnat</span><span class="w"> </span><span class="mi">1</span><span class="w"> </span><span class="p">(;</span><span class="n">path</span><span class="p">,</span><span class="n">min_distance_ref</span><span class="o">=</span><span class="kt">Ref</span><span class="p">(</span><span class="n">min_distance</span><span class="p">))</span>
<span class="w"> </span><span class="n">task</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nd">@async</span><span class="w"> </span><span class="k">begin</span>
<span class="w"> </span><span class="n">tsp_dist_impl</span><span class="p">(</span><span class="n">connections</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">current_distance</span><span class="p">,</span><span class="n">min_distance</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="nb">nothing</span><span class="p">)</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="n">put!</span><span class="p">(</span><span class="n">jobs_chnl</span><span class="p">,</span><span class="nb">nothing</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="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">max_hops</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">jobs_channel</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nb">nothing</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">job</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="k">if</span><span class="w"> </span><span class="n">job</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="nb">nothing</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="n">hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">job</span><span class="o">.</span><span class="n">hops</span>
<span class="w"> </span><span class="n">path</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">job</span><span class="o">.</span><span class="n">path</span>
<span class="w"> </span><span class="n">current_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">job</span><span class="o">.</span><span class="n">current_distance</span>
<span class="w"> </span><span class="n">tsp_dist_impl</span><span class="p">(</span><span class="n">connections</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">current_distance</span><span class="p">,</span><span class="n">min_distance</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_channel</span><span class="p">,</span><span class="n">ftr_result</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">end</span><span class="w"> </span>
<span class="w"> </span><span class="n">result</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">fetch</span><span class="p">(</span><span class="n">ftr_result</span><span class="p">)</span>
<span class="w"> </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">result</span><span class="o">.</span><span class="n">path</span><span class="p">,</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">result</span><span class="o">.</span><span class="n">min_distance_ref</span><span class="p">[])</span>
<span class="k">end</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">tsp_dist</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
</pre></div>
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