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fgolemo/ase-depth-alignment-demo1.html

Created March 7, 2025 17:07
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ASE Depth Alignment Demo
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ase-depth-alignment-demo1.html
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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>ase-alignment-demo</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<style type="text/css">
pre { line-height: 125%; }
td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
.highlight .hll { background-color: var(--jp-cell-editor-active-background) }
.highlight { background: var(--jp-cell-editor-background); color: var(--jp-mirror-editor-variable-color) }
.highlight .c { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment */
.highlight .err { color: var(--jp-mirror-editor-error-color) } /* Error */
.highlight .k { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword */
.highlight .o { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator */
.highlight .p { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation */
.highlight .ch { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Multiline */
.highlight .cp { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Preproc */
.highlight .cpf { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Single */
.highlight .cs { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Special */
.highlight .kc { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Pseudo */
.highlight .kr { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Type */
.highlight .m { color: var(--jp-mirror-editor-number-color) } /* Literal.Number */
.highlight .s { color: var(--jp-mirror-editor-string-color) } /* Literal.String */
.highlight .ow { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator.Word */
.highlight .pm { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation.Marker */
.highlight .w { color: var(--jp-mirror-editor-variable-color) } /* Text.Whitespace */
.highlight .mb { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Bin */
.highlight .mf { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Float */
.highlight .mh { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Hex */
.highlight .mi { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer */
.highlight .mo { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Oct */
.highlight .sa { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Affix */
.highlight .sb { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Backtick */
.highlight .sc { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Char */
.highlight .dl { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Delimiter */
.highlight .sd { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Doc */
.highlight .s2 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Double */
.highlight .se { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Escape */
.highlight .sh { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Heredoc */
.highlight .si { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Interpol */
.highlight .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */
.highlight .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */
.highlight .s1 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Single */
.highlight .ss { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Symbol */
.highlight .il { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer.Long */
</style>
<style type="text/css">
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/*
* Mozilla scrollbar styling
*/
/* use standard opaque scrollbars for most nodes */
[data-jp-theme-scrollbars='true'] {
scrollbar-color: rgb(var(--jp-scrollbar-thumb-color))
var(--jp-scrollbar-background-color);
}
/* for code nodes, use a transparent style of scrollbar. These selectors
* will match lower in the tree, and so will override the above */
[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar,
[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar {
scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
}
/* tiny scrollbar */
.jp-scrollbar-tiny {
scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
scrollbar-width: thin;
}
/* tiny scrollbar */
.jp-scrollbar-tiny::-webkit-scrollbar,
.jp-scrollbar-tiny::-webkit-scrollbar-corner {
background-color: transparent;
height: 4px;
width: 4px;
}
.jp-scrollbar-tiny::-webkit-scrollbar-thumb {
background: rgba(var(--jp-scrollbar-thumb-color), 0.5);
}
.jp-scrollbar-tiny::-webkit-scrollbar-track:horizontal {
border-left: 0 solid transparent;
border-right: 0 solid transparent;
}
.jp-scrollbar-tiny::-webkit-scrollbar-track:vertical {
border-top: 0 solid transparent;
border-bottom: 0 solid transparent;
}
/*
* Lumino
*/
.lm-ScrollBar[data-orientation='horizontal'] {
min-height: 16px;
max-height: 16px;
min-width: 45px;
border-top: 1px solid #a0a0a0;
}
.lm-ScrollBar[data-orientation='vertical'] {
min-width: 16px;
max-width: 16px;
min-height: 45px;
border-left: 1px solid #a0a0a0;
}
.lm-ScrollBar-button {
background-color: #f0f0f0;
background-position: center center;
min-height: 15px;
max-height: 15px;
min-width: 15px;
max-width: 15px;
}
.lm-ScrollBar-button:hover {
background-color: #dadada;
}
.lm-ScrollBar-button.lm-mod-active {
background-color: #cdcdcd;
}
.lm-ScrollBar-track {
background: #f0f0f0;
}
.lm-ScrollBar-thumb {
background: #cdcdcd;
}
.lm-ScrollBar-thumb:hover {
background: #bababa;
}
.lm-ScrollBar-thumb.lm-mod-active {
background: #a0a0a0;
}
.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {
height: 100%;
min-width: 15px;
border-left: 1px solid #a0a0a0;
border-right: 1px solid #a0a0a0;
}
.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {
width: 100%;
min-height: 15px;
border-top: 1px solid #a0a0a0;
border-bottom: 1px solid #a0a0a0;
}
.lm-ScrollBar[data-orientation='horizontal']
.lm-ScrollBar-button[data-action='decrement'] {
background-image: var(--jp-icon-caret-left);
background-size: 17px;
}
.lm-ScrollBar[data-orientation='horizontal']
.lm-ScrollBar-button[data-action='increment'] {
background-image: var(--jp-icon-caret-right);
background-size: 17px;
}
.lm-ScrollBar[data-orientation='vertical']
.lm-ScrollBar-button[data-action='decrement'] {
background-image: var(--jp-icon-caret-up);
background-size: 17px;
}
.lm-ScrollBar[data-orientation='vertical']
.lm-ScrollBar-button[data-action='increment'] {
background-image: var(--jp-icon-caret-down);
background-size: 17px;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-Widget {
box-sizing: border-box;
position: relative;
overflow: hidden;
}
.lm-Widget.lm-mod-hidden {
display: none !important;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
.lm-AccordionPanel[data-orientation='horizontal'] > .lm-AccordionPanel-title {
/* Title is rotated for horizontal accordion panel using CSS */
display: block;
transform-origin: top left;
transform: rotate(-90deg) translate(-100%);
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-CommandPalette {
display: flex;
flex-direction: column;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.lm-CommandPalette-search {
flex: 0 0 auto;
}
.lm-CommandPalette-content {
flex: 1 1 auto;
margin: 0;
padding: 0;
min-height: 0;
overflow: auto;
list-style-type: none;
}
.lm-CommandPalette-header {
overflow: hidden;
white-space: nowrap;
text-overflow: ellipsis;
}
.lm-CommandPalette-item {
display: flex;
flex-direction: row;
}
.lm-CommandPalette-itemIcon {
flex: 0 0 auto;
}
.lm-CommandPalette-itemContent {
flex: 1 1 auto;
overflow: hidden;
}
.lm-CommandPalette-itemShortcut {
flex: 0 0 auto;
}
.lm-CommandPalette-itemLabel {
overflow: hidden;
white-space: nowrap;
text-overflow: ellipsis;
}
.lm-close-icon {
border: 1px solid transparent;
background-color: transparent;
position: absolute;
z-index: 1;
right: 3%;
top: 0;
bottom: 0;
margin: auto;
padding: 7px 0;
display: none;
vertical-align: middle;
outline: 0;
cursor: pointer;
}
.lm-close-icon:after {
content: 'X';
display: block;
width: 15px;
height: 15px;
text-align: center;
color: #000;
font-weight: normal;
font-size: 12px;
cursor: pointer;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-DockPanel {
z-index: 0;
}
.lm-DockPanel-widget {
z-index: 0;
}
.lm-DockPanel-tabBar {
z-index: 1;
}
.lm-DockPanel-handle {
z-index: 2;
}
.lm-DockPanel-handle.lm-mod-hidden {
display: none !important;
}
.lm-DockPanel-handle:after {
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
content: '';
}
.lm-DockPanel-handle[data-orientation='horizontal'] {
cursor: ew-resize;
}
.lm-DockPanel-handle[data-orientation='vertical'] {
cursor: ns-resize;
}
.lm-DockPanel-handle[data-orientation='horizontal']:after {
left: 50%;
min-width: 8px;
transform: translateX(-50%);
}
.lm-DockPanel-handle[data-orientation='vertical']:after {
top: 50%;
min-height: 8px;
transform: translateY(-50%);
}
.lm-DockPanel-overlay {
z-index: 3;
box-sizing: border-box;
pointer-events: none;
}
.lm-DockPanel-overlay.lm-mod-hidden {
display: none !important;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-Menu {
z-index: 10000;
position: absolute;
white-space: nowrap;
overflow-x: hidden;
overflow-y: auto;
outline: none;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.lm-Menu-content {
margin: 0;
padding: 0;
display: table;
list-style-type: none;
}
.lm-Menu-item {
display: table-row;
}
.lm-Menu-item.lm-mod-hidden,
.lm-Menu-item.lm-mod-collapsed {
display: none !important;
}
.lm-Menu-itemIcon,
.lm-Menu-itemSubmenuIcon {
display: table-cell;
text-align: center;
}
.lm-Menu-itemLabel {
display: table-cell;
text-align: left;
}
.lm-Menu-itemShortcut {
display: table-cell;
text-align: right;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-MenuBar {
outline: none;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.lm-MenuBar-content {
margin: 0;
padding: 0;
display: flex;
flex-direction: row;
list-style-type: none;
}
.lm-MenuBar-item {
box-sizing: border-box;
}
.lm-MenuBar-itemIcon,
.lm-MenuBar-itemLabel {
display: inline-block;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-ScrollBar {
display: flex;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.lm-ScrollBar[data-orientation='horizontal'] {
flex-direction: row;
}
.lm-ScrollBar[data-orientation='vertical'] {
flex-direction: column;
}
.lm-ScrollBar-button {
box-sizing: border-box;
flex: 0 0 auto;
}
.lm-ScrollBar-track {
box-sizing: border-box;
position: relative;
overflow: hidden;
flex: 1 1 auto;
}
.lm-ScrollBar-thumb {
box-sizing: border-box;
position: absolute;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-SplitPanel-child {
z-index: 0;
}
.lm-SplitPanel-handle {
z-index: 1;
}
.lm-SplitPanel-handle.lm-mod-hidden {
display: none !important;
}
.lm-SplitPanel-handle:after {
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
content: '';
}
.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
cursor: ew-resize;
}
.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
cursor: ns-resize;
}
.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
left: 50%;
min-width: 8px;
transform: translateX(-50%);
}
.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
top: 50%;
min-height: 8px;
transform: translateY(-50%);
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-TabBar {
display: flex;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.lm-TabBar[data-orientation='horizontal'] {
flex-direction: row;
align-items: flex-end;
}
.lm-TabBar[data-orientation='vertical'] {
flex-direction: column;
align-items: flex-end;
}
.lm-TabBar-content {
margin: 0;
padding: 0;
display: flex;
flex: 1 1 auto;
list-style-type: none;
}
.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
flex-direction: row;
}
.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
flex-direction: column;
}
.lm-TabBar-tab {
display: flex;
flex-direction: row;
box-sizing: border-box;
overflow: hidden;
touch-action: none; /* Disable native Drag/Drop */
}
.lm-TabBar-tabIcon,
.lm-TabBar-tabCloseIcon {
flex: 0 0 auto;
}
.lm-TabBar-tabLabel {
flex: 1 1 auto;
overflow: hidden;
white-space: nowrap;
}
.lm-TabBar-tabInput {
user-select: all;
width: 100%;
box-sizing: border-box;
}
.lm-TabBar-tab.lm-mod-hidden {
display: none !important;
}
.lm-TabBar-addButton.lm-mod-hidden {
display: none !important;
}
.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
position: relative;
}
.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
left: 0;
transition: left 150ms ease;
}
.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
top: 0;
transition: top 150ms ease;
}
.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
transition: none;
}
.lm-TabBar-tabLabel .lm-TabBar-tabInput {
user-select: all;
width: 100%;
box-sizing: border-box;
background: inherit;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
.lm-TabPanel-tabBar {
z-index: 1;
}
.lm-TabPanel-stackedPanel {
z-index: 0;
}
/*
* Copyright (c) Jupyter Development Team.
* Distributed under the terms of the Modified BSD License.
*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-Collapse {
display: flex;
flex-direction: column;
align-items: stretch;
}
.jp-Collapse-header {
padding: 1px 12px;
background-color: var(--jp-layout-color1);
border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
color: var(--jp-ui-font-color1);
cursor: pointer;
display: flex;
align-items: center;
font-size: var(--jp-ui-font-size0);
font-weight: 600;
text-transform: uppercase;
user-select: none;
}
.jp-Collapser-icon {
height: 16px;
}
.jp-Collapse-header-collapsed .jp-Collapser-icon {
transform: rotate(-90deg);
margin: auto 0;
}
.jp-Collapser-title {
line-height: 25px;
}
.jp-Collapse-contents {
padding: 0 12px;
background-color: var(--jp-layout-color1);
color: var(--jp-ui-font-color1);
overflow: auto;
}
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
/**
* (DEPRECATED) Support for consuming icons as CSS background images
*/
/* Icons urls */
:root {
--jp-icon-add-above: url(data:image/svg+xml;base64,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);
--jp-icon-add-below: url(data:image/svg+xml;base64,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);
--jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
--jp-icon-bell: url(data:image/svg+xml;base64,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);
--jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
--jp-icon-bug: url(data:image/svg+xml;base64,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,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KIDxnIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzQxNDE0MSI+CiAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiA8L2c+CiA8ZyBjbGFzcz0ianAtaWNvbi1hY2NlbnQyIiB0cmFuc2Zvcm09InRyYW5zbGF0ZSguNDMgLjA0MDEpIiBmaWxsPSIjZmZmIj4KICA8cGF0aCBkPSJtNC4xNCA4Ljc2cTAuMDY4Mi0xLjg5IDIuNDItMS44OSAxLjE2IDAgMS42OCAwLjQyIDAuNTY3IDAuNDEgMC41NjcgMS4xNnYzLjQ3cTAgMC40NjIgMC41MTQgMC40NjIgMC4xMDMgMCAwLjItMC4wMjMxdjAuNzE0cS0wLjM5OSAwLjEwMy0wLjY1MSAwLjEwMy0wLjQ1MiAwLTAuNjkzLTAuMjItMC4yMzEtMC4yLTAuMjg0LTAuNjYyLTAuOTU2IDAuODcyLTIgMC44NzItMC45MDMgMC0xLjQ3LTAuNDcyLTAuNTI1LTAuNDcyLTAuNTI1LTEuMjYgMC0wLjI2MiAwLjA0NTItMC40NzIgMC4wNTY3LTAuMjIgMC4xMTYtMC4zNzggMC4wNjgyLTAuMTY4IDAuMjMxLTAuMzA0IDAuMTU4LTAuMTQ3IDAuMjYyLTAuMjQyIDAuMTE2LTAuMDkxNCAwLjM2OC0wLjE2OCAwLjI2Mi0wLjA5MTQgMC4zOTktMC4xMjYgMC4xMzYtMC4wNDUyIDAuNDcyLTAuMTAzIDAuMzM2LTAuMDU3OCAwLjUwNC0wLjA3OTggMC4xNTgtMC4wMjMxIDAuNTY3LTAuMDc5OCAwLjU1Ni0wLjA2ODIgMC43NzctMC4yMjEgMC4yMi0wLjE1MiAwLjIyLTAuNDQxdi0wLjI1MnEwLTAuNDMtMC4zNTctMC42NjItMC4zMzYtMC4yMzEtMC45NzYtMC4yMzEtMC42NjIgMC0wLjk5OCAwLjI2Mi0wLjMzNiAwLjI1Mi0wLjM5OSAwLjc5OHptMS44OSAzLjY4cTAuNzg4IDAgMS4yNi0wLjQxIDAuNTA0LTAuNDIgMC41MDQtMC45MDN2LTEuMDVxLTAuMjg0IDAuMTM2LTAuODYxIDAuMjMxLTAuNTY3IDAuMDkxNC0wLjk4NyAwLjE1OC0wLjQyIDAuMDY4Mi0wLjc2NiAwLjMyNi0wLjMzNiAwLjI1Mi0wLjMzNiAwLjcwNHQwLjMwNCAwLjcwNCAwLjg2MSAwLjI1MnoiIHN0cm9rZS13aWR0aD0iMS4wNSIvPgogIDxwYXRoIGQ9Im0xMCA0LjU2aDAuOTQ1djMuMTVxMC42NTEtMC45NzYgMS44OS0wLjk3NiAxLjE2IDAgMS44OSAwLjg0IDAuNjgyIDAuODQgMC42ODIgMi4zMSAwIDEuNDctMC43MDQgMi40Mi0wLjcwNCAwLjg4Mi0xLjg5IDAuODgyLTEuMjYgMC0xLjg5LTEuMDJ2MC43NjZoLTAuODV6bTIuNjIgMy4wNHEtMC43NDYgMC0xLjE2IDAuNjQtMC40NTIgMC42My0wLjQ1MiAxLjY4IDAgMS4wNSAwLjQ1MiAxLjY4dDEuMTYgMC42M3EwLjc3NyAwIDEuMjYtMC42MyAwLjQ5NC0wLjY0IDAuNDk0LTEuNjggMC0xLjA1LTAuNDcyLTEuNjgtMC40NjItMC42NC0xLjI2LTAuNjR6IiBzdHJva2Utd2lkdGg9IjEuMDUiLz4KICA8cGF0aCBkPSJtMi43MyAxNS44IDEzLjYgMC4wMDgxYzAuMDA2OSAwIDAtMi42IDAtMi42IDAtMC4wMDc4LTEuMTUgMC0xLjE1IDAtMC4wMDY5IDAtMC4wMDgzIDEuNS0wLjAwODMgMS41LTJlLTMgLTAuMDAxNC0xMS4zLTAuMDAxNC0xMS4zLTAuMDAxNGwtMC4wMDU5Mi0xLjVjMC0wLjAwNzgtMS4xNyAwLjAwMTMtMS4xNyAwLjAwMTN6IiBzdHJva2Utd2lkdGg9Ii45NzUiLz4KIDwvZz4KPC9zdmc+Cg==);
--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),
0 2px 2px 0 var(--jp-shadow-penumbra-color),
0 1px 5px 0 var(--jp-shadow-ambient-color);
--jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
0 4px 5px 0 var(--jp-shadow-penumbra-color),
0 1px 10px 0 var(--jp-shadow-ambient-color);
--jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
0 6px 10px 0 var(--jp-shadow-penumbra-color),
0 1px 18px 0 var(--jp-shadow-ambient-color);
--jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
0 8px 10px 1px var(--jp-shadow-penumbra-color),
0 3px 14px 2px var(--jp-shadow-ambient-color);
--jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
0 12px 17px 2px var(--jp-shadow-penumbra-color),
0 5px 22px 4px var(--jp-shadow-ambient-color);
--jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
0 16px 24px 2px var(--jp-shadow-penumbra-color),
0 6px 30px 5px var(--jp-shadow-ambient-color);
--jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
0 20px 31px 3px var(--jp-shadow-penumbra-color),
0 8px 38px 7px var(--jp-shadow-ambient-color);
--jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
0 24px 38px 3px var(--jp-shadow-penumbra-color),
0 9px 46px 8px var(--jp-shadow-ambient-color);
/* Borders
*
* The following variables, specify the visual styling of borders in JupyterLab.
*/
--jp-border-width: 1px;
--jp-border-color0: var(--md-grey-400);
--jp-border-color1: var(--md-grey-400);
--jp-border-color2: var(--md-grey-300);
--jp-border-color3: var(--md-grey-200);
--jp-inverse-border-color: var(--md-grey-600);
--jp-border-radius: 2px;
/* UI Fonts
*
* The UI font CSS variables are used for the typography all of the JupyterLab
* user interface elements that are not directly user generated content.
*
* The font sizing here is done assuming that the body font size of --jp-ui-font-size1
* is applied to a parent element. When children elements, such as headings, are sized
* in em all things will be computed relative to that body size.
*/
--jp-ui-font-scale-factor: 1.2;
--jp-ui-font-size0: 0.83333em;
--jp-ui-font-size1: 13px; /* Base font size */
--jp-ui-font-size2: 1.2em;
--jp-ui-font-size3: 1.44em;
--jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
'Segoe UI Symbol';
/*
* Use these font colors against the corresponding main layout colors.
* In a light theme, these go from dark to light.
*/
/* Defaults use Material Design specification */
--jp-ui-font-color0: rgba(0, 0, 0, 1);
--jp-ui-font-color1: rgba(0, 0, 0, 0.87);
--jp-ui-font-color2: rgba(0, 0, 0, 0.54);
--jp-ui-font-color3: rgba(0, 0, 0, 0.38);
/*
* Use these against the brand/accent/warn/error colors.
* These will typically go from light to darker, in both a dark and light theme.
*/
--jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
--jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
--jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
--jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
/* Content Fonts
*
* Content font variables are used for typography of user generated content.
*
* The font sizing here is done assuming that the body font size of --jp-content-font-size1
* is applied to a parent element. When children elements, such as headings, are sized
* in em all things will be computed relative to that body size.
*/
--jp-content-line-height: 1.6;
--jp-content-font-scale-factor: 1.2;
--jp-content-font-size0: 0.83333em;
--jp-content-font-size1: 14px; /* Base font size */
--jp-content-font-size2: 1.2em;
--jp-content-font-size3: 1.44em;
--jp-content-font-size4: 1.728em;
--jp-content-font-size5: 2.0736em;
/* This gives a magnification of about 125% in presentation mode over normal. */
--jp-content-presentation-font-size1: 17px;
--jp-content-heading-line-height: 1;
--jp-content-heading-margin-top: 1.2em;
--jp-content-heading-margin-bottom: 0.8em;
--jp-content-heading-font-weight: 500;
/* Defaults use Material Design specification */
--jp-content-font-color0: rgba(0, 0, 0, 1);
--jp-content-font-color1: rgba(0, 0, 0, 0.87);
--jp-content-font-color2: rgba(0, 0, 0, 0.54);
--jp-content-font-color3: rgba(0, 0, 0, 0.38);
--jp-content-link-color: var(--md-blue-900);
--jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
'Segoe UI Emoji', 'Segoe UI Symbol';
/*
* Code Fonts
*
* Code font variables are used for typography of code and other monospaces content.
*/
--jp-code-font-size: 13px;
--jp-code-line-height: 1.3077; /* 17px for 13px base */
--jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
--jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
--jp-code-font-family: var(--jp-code-font-family-default);
/* This gives a magnification of about 125% in presentation mode over normal. */
--jp-code-presentation-font-size: 16px;
/* may need to tweak cursor width if you change font size */
--jp-code-cursor-width0: 1.4px;
--jp-code-cursor-width1: 2px;
--jp-code-cursor-width2: 4px;
/* Layout
*
* The following are the main layout colors use in JupyterLab. In a light
* theme these would go from light to dark.
*/
--jp-layout-color0: white;
--jp-layout-color1: white;
--jp-layout-color2: var(--md-grey-200);
--jp-layout-color3: var(--md-grey-400);
--jp-layout-color4: var(--md-grey-600);
/* Inverse Layout
*
* The following are the inverse layout colors use in JupyterLab. In a light
* theme these would go from dark to light.
*/
--jp-inverse-layout-color0: #111;
--jp-inverse-layout-color1: var(--md-grey-900);
--jp-inverse-layout-color2: var(--md-grey-800);
--jp-inverse-layout-color3: var(--md-grey-700);
--jp-inverse-layout-color4: var(--md-grey-600);
/* Brand/accent */
--jp-brand-color0: var(--md-blue-900);
--jp-brand-color1: var(--md-blue-700);
--jp-brand-color2: var(--md-blue-300);
--jp-brand-color3: var(--md-blue-100);
--jp-brand-color4: var(--md-blue-50);
--jp-accent-color0: var(--md-green-900);
--jp-accent-color1: var(--md-green-700);
--jp-accent-color2: var(--md-green-300);
--jp-accent-color3: var(--md-green-100);
/* State colors (warn, error, success, info) */
--jp-warn-color0: var(--md-orange-900);
--jp-warn-color1: var(--md-orange-700);
--jp-warn-color2: var(--md-orange-300);
--jp-warn-color3: var(--md-orange-100);
--jp-error-color0: var(--md-red-900);
--jp-error-color1: var(--md-red-700);
--jp-error-color2: var(--md-red-300);
--jp-error-color3: var(--md-red-100);
--jp-success-color0: var(--md-green-900);
--jp-success-color1: var(--md-green-700);
--jp-success-color2: var(--md-green-300);
--jp-success-color3: var(--md-green-100);
--jp-info-color0: var(--md-cyan-900);
--jp-info-color1: var(--md-cyan-700);
--jp-info-color2: var(--md-cyan-300);
--jp-info-color3: var(--md-cyan-100);
/* Cell specific styles */
--jp-cell-padding: 5px;
--jp-cell-collapser-width: 8px;
--jp-cell-collapser-min-height: 20px;
--jp-cell-collapser-not-active-hover-opacity: 0.6;
--jp-cell-editor-background: var(--md-grey-100);
--jp-cell-editor-border-color: var(--md-grey-300);
--jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
--jp-cell-editor-active-background: var(--jp-layout-color0);
--jp-cell-editor-active-border-color: var(--jp-brand-color1);
--jp-cell-prompt-width: 64px;
--jp-cell-prompt-font-family: var(--jp-code-font-family-default);
--jp-cell-prompt-letter-spacing: 0;
--jp-cell-prompt-opacity: 1;
--jp-cell-prompt-not-active-opacity: 0.5;
--jp-cell-prompt-not-active-font-color: var(--md-grey-700);
/* A custom blend of MD grey and blue 600
* See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
--jp-cell-inprompt-font-color: #307fc1;
/* A custom blend of MD grey and orange 600
* https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
--jp-cell-outprompt-font-color: #bf5b3d;
/* Notebook specific styles */
--jp-notebook-padding: 10px;
--jp-notebook-select-background: var(--jp-layout-color1);
--jp-notebook-multiselected-color: var(--md-blue-50);
/* The scroll padding is calculated to fill enough space at the bottom of the
notebook to show one single-line cell (with appropriate padding) at the top
when the notebook is scrolled all the way to the bottom. We also subtract one
pixel so that no scrollbar appears if we have just one single-line cell in the
notebook. This padding is to enable a 'scroll past end' feature in a notebook.
*/
--jp-notebook-scroll-padding: calc(
100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
var(--jp-code-padding) - var(--jp-cell-padding) - 1px
);
/* Rendermime styles */
--jp-rendermime-error-background: #fdd;
--jp-rendermime-table-row-background: var(--md-grey-100);
--jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
/* Dialog specific styles */
--jp-dialog-background: rgba(0, 0, 0, 0.25);
/* Console specific styles */
--jp-console-padding: 10px;
/* Toolbar specific styles */
--jp-toolbar-border-color: var(--jp-border-color1);
--jp-toolbar-micro-height: 8px;
--jp-toolbar-background: var(--jp-layout-color1);
--jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
--jp-toolbar-header-margin: 4px 4px 0 4px;
--jp-toolbar-active-background: var(--md-grey-300);
/* Statusbar specific styles */
--jp-statusbar-height: 24px;
/* Input field styles */
--jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
--jp-input-active-background: var(--jp-layout-color1);
--jp-input-hover-background: var(--jp-layout-color1);
--jp-input-background: var(--md-grey-100);
--jp-input-border-color: var(--jp-inverse-border-color);
--jp-input-active-border-color: var(--jp-brand-color1);
--jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
/* General editor styles */
--jp-editor-selected-background: #d9d9d9;
--jp-editor-selected-focused-background: #d7d4f0;
--jp-editor-cursor-color: var(--jp-ui-font-color0);
/* Code mirror specific styles */
--jp-mirror-editor-keyword-color: #008000;
--jp-mirror-editor-atom-color: #88f;
--jp-mirror-editor-number-color: #080;
--jp-mirror-editor-def-color: #00f;
--jp-mirror-editor-variable-color: var(--md-grey-900);
--jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
--jp-mirror-editor-variable-3-color: #085;
--jp-mirror-editor-punctuation-color: #05a;
--jp-mirror-editor-property-color: #05a;
--jp-mirror-editor-operator-color: #a2f;
--jp-mirror-editor-comment-color: #408080;
--jp-mirror-editor-string-color: #ba2121;
--jp-mirror-editor-string-2-color: #708;
--jp-mirror-editor-meta-color: #a2f;
--jp-mirror-editor-qualifier-color: #555;
--jp-mirror-editor-builtin-color: #008000;
--jp-mirror-editor-bracket-color: #997;
--jp-mirror-editor-tag-color: #170;
--jp-mirror-editor-attribute-color: #00c;
--jp-mirror-editor-header-color: blue;
--jp-mirror-editor-quote-color: #090;
--jp-mirror-editor-link-color: #00c;
--jp-mirror-editor-error-color: #f00;
--jp-mirror-editor-hr-color: #999;
/*
RTC user specific colors.
These colors are used for the cursor, username in the editor,
and the icon of the user.
*/
--jp-collaborator-color1: #ffad8e;
--jp-collaborator-color2: #dac83d;
--jp-collaborator-color3: #72dd76;
--jp-collaborator-color4: #00e4d0;
--jp-collaborator-color5: #45d4ff;
--jp-collaborator-color6: #e2b1ff;
--jp-collaborator-color7: #ff9de6;
/* Vega extension styles */
--jp-vega-background: white;
/* Sidebar-related styles */
--jp-sidebar-min-width: 250px;
/* Search-related styles */
--jp-search-toggle-off-opacity: 0.5;
--jp-search-toggle-hover-opacity: 0.8;
--jp-search-toggle-on-opacity: 1;
--jp-search-selected-match-background-color: rgb(245, 200, 0);
--jp-search-selected-match-color: black;
--jp-search-unselected-match-background-color: var(
--jp-inverse-layout-color0
);
--jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
/* Icon colors that work well with light or dark backgrounds */
--jp-icon-contrast-color0: var(--md-purple-600);
--jp-icon-contrast-color1: var(--md-green-600);
--jp-icon-contrast-color2: var(--md-pink-600);
--jp-icon-contrast-color3: var(--md-blue-600);
/* Button colors */
--jp-accept-color-normal: var(--md-blue-700);
--jp-accept-color-hover: var(--md-blue-800);
--jp-accept-color-active: var(--md-blue-900);
--jp-warn-color-normal: var(--md-red-700);
--jp-warn-color-hover: var(--md-red-800);
--jp-warn-color-active: var(--md-red-900);
--jp-reject-color-normal: var(--md-grey-600);
--jp-reject-color-hover: var(--md-grey-700);
--jp-reject-color-active: var(--md-grey-800);
/* File or activity icons and switch semantic variables */
--jp-jupyter-icon-color: #f37626;
--jp-notebook-icon-color: #f37626;
--jp-json-icon-color: var(--md-orange-700);
--jp-console-icon-background-color: var(--md-blue-700);
--jp-console-icon-color: white;
--jp-terminal-icon-background-color: var(--md-grey-800);
--jp-terminal-icon-color: var(--md-grey-200);
--jp-text-editor-icon-color: var(--md-grey-700);
--jp-inspector-icon-color: var(--md-grey-700);
--jp-switch-color: var(--md-grey-400);
--jp-switch-true-position-color: var(--md-orange-900);
}
</style>
<style type="text/css">
/* Force rendering true colors when outputing to pdf */
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-webkit-print-color-adjust: exact;
}
/* Misc */
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display: none;
}
/* Input area styling */
.jp-InputArea {
overflow: hidden;
}
.jp-InputArea-editor {
overflow: hidden;
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.cm-editor.cm-s-jupyter .highlight pre {
/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
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margin: 0;
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font-size: inherit;
line-height: inherit;
color: inherit;
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.jp-OutputArea-output pre {
line-height: inherit;
font-family: inherit;
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/* Hiding the collapser by default */
.jp-Collapser {
display: none;
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@page {
margin: 0.5in; /* Margin for each printed piece of paper */
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.jp-Cell-inputWrapper,
.jp-Cell-outputWrapper {
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<style>
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.jp-RenderedMermaid {
overflow: auto;
display: flex;
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.jp-RenderedMermaid.jp-mod-warning {
width: auto;
padding: 0.5em;
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<!-- End of mermaid configuration --></head>
<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">
<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="Notebook-stuck?">Notebook stuck?<a class="anchor-link" href="#Notebook-stuck?"></a></h3><p>Note that because of Jupyter and Plotly issues, sometimes the code may stuck at visualization. We recommend <strong>restart the kernels</strong> and try again to see if the issue is resolved.</p>
</div>
</div>
</div>
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
<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>
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<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.colors</span> <span class="k">as</span> <span class="nn">colors</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">plotly.graph_objects</span> <span class="k">as</span> <span class="nn">go</span>
<span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
<span class="kn">from</span> <span class="nn">scipy.spatial.transform</span> <span class="kn">import</span> <span class="n">Rotation</span> <span class="k">as</span> <span class="n">R</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="n">DATASET_ROOT</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">expanduser</span><span class="p">(</span><span class="s2">"~/dev/projectaria_tools/projectaria_tools_ase_data"</span><span class="p">)</span> <span class="c1"># Specify your own dataset path</span>
<span class="n">SCENE_ID</span> <span class="o">=</span> <span class="mi">0</span> <span class="c1"># Select a scene id</span>
<span class="n">dataset_path</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">DATASET_ROOT</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"Chosen ASE data path: "</span><span class="p">,</span> <span class="n">dataset_path</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Using Scene </span><span class="si">{</span><span class="n">SCENE_ID</span><span class="si">}</span><span class="s2"> for these examples"</span><span class="p">)</span>
<span class="n">scene_path</span> <span class="o">=</span> <span class="n">dataset_path</span> <span class="o">/</span> <span class="nb">str</span><span class="p">(</span><span class="n">SCENE_ID</span><span class="p">)</span>
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<pre>Chosen ASE data path: /Users/florian/dev/projectaria_tools/projectaria_tools_ase_data
Using Scene 0 for these examples
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<h1 id="Part-1:-Reading-Scene-Annotations-and-3D-Plotting">Part 1: Reading Scene Annotations and 3D Plotting<a class="anchor-link" href="#Part-1:-Reading-Scene-Annotations-and-3D-Plotting"></a></h1>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">code_snippets.readers</span> <span class="kn">import</span> <span class="n">read_points_file</span><span class="p">,</span> <span class="n">read_trajectory_file</span><span class="p">,</span> <span class="n">read_language_file</span>
<span class="c1"># Load scene point cloud using read_points_file()</span>
<span class="n">points_path</span> <span class="o">=</span> <span class="n">scene_path</span> <span class="o">/</span> <span class="s2">"semidense_points.csv.gz"</span>
<span class="n">points</span> <span class="o">=</span> <span class="n">read_points_file</span><span class="p">(</span><span class="n">points_path</span><span class="p">)</span>
<span class="c1"># Load a trajectory using read_trajectory_file() </span>
<span class="n">trajectory_path</span> <span class="o">=</span> <span class="n">scene_path</span> <span class="o">/</span> <span class="s2">"trajectory.csv"</span>
<span class="n">trajectory</span> <span class="o">=</span> <span class="n">read_trajectory_file</span><span class="p">(</span><span class="n">trajectory_path</span><span class="p">)</span>
<span class="c1"># Load a scene command language using read_language_file()</span>
<span class="n">language_path</span> <span class="o">=</span> <span class="n">scene_path</span> <span class="o">/</span> <span class="s2">"ase_scene_language.txt"</span>
<span class="n">entities</span> <span class="o">=</span> <span class="n">read_language_file</span><span class="p">(</span><span class="n">language_path</span><span class="p">)</span>
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<pre>Loaded point cloud with 433426 points.
Loaded trajectory with 350 device poses.
Loaded scene commands with a total of 15 entities.
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<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">code_snippets.interpreter</span> <span class="kn">import</span> <span class="n">language_to_bboxes</span>
<span class="c1"># Interpret scene commands into 3D Boxes</span>
<span class="n">entity_boxes</span> <span class="o">=</span> <span class="n">language_to_bboxes</span><span class="p">(</span><span class="n">entities</span><span class="p">)</span>
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<pre>Scene contains:
wall: 8
door: 3
window: 4
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<h1 id="Part-2:-Loading-and-Plotting-Images-and-Image-Annotations">Part 2: Loading and Plotting Images and Image Annotations<a class="anchor-link" href="#Part-2:-Loading-and-Plotting-Images-and-Image-Annotations"></a></h1>
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<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">random_bright_colormap</span><span class="p">(</span><span class="n">num_colors</span><span class="o">=</span><span class="mi">1024</span><span class="p">):</span>
<span class="n">bright_colors</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="n">num_colors</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">bright_colors</span> <span class="o">=</span> <span class="p">(</span><span class="n">bright_colors</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span>
<span class="k">return</span> <span class="n">colors</span><span class="o">.</span><span class="n">ListedColormap</span><span class="p">([</span><span class="n">c</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">bright_colors</span><span class="p">])</span>
<span class="n">scene_path</span> <span class="o">=</span> <span class="n">dataset_path</span> <span class="o">/</span> <span class="nb">str</span><span class="p">(</span><span class="n">SCENE_ID</span><span class="p">)</span>
<span class="n">rgb_dir</span> <span class="o">=</span> <span class="n">scene_path</span> <span class="o">/</span> <span class="s2">"rgb"</span>
<span class="n">depth_dir</span> <span class="o">=</span> <span class="n">scene_path</span> <span class="o">/</span> <span class="s2">"depth"</span>
<span class="n">instance_dir</span> <span class="o">=</span> <span class="n">scene_path</span> <span class="o">/</span> <span class="s2">"instances"</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Load images</span>
<span class="n">frame_idx</span> <span class="o">=</span> <span class="mi">209</span>
<span class="n">frame_id</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">frame_idx</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">7</span><span class="p">)</span>
<span class="n">rgb_path</span> <span class="o">=</span> <span class="n">rgb_dir</span> <span class="o">/</span> <span class="sa">f</span><span class="s2">"vignette</span><span class="si">{</span><span class="n">frame_id</span><span class="si">}</span><span class="s2">.jpg"</span>
<span class="n">depth_path</span> <span class="o">=</span> <span class="n">depth_dir</span> <span class="o">/</span> <span class="sa">f</span><span class="s2">"depth</span><span class="si">{</span><span class="n">frame_id</span><span class="si">}</span><span class="s2">.png"</span>
<span class="n">instance_path</span> <span class="o">=</span> <span class="n">instance_dir</span> <span class="o">/</span> <span class="sa">f</span><span class="s2">"instance</span><span class="si">{</span><span class="n">frame_id</span><span class="si">}</span><span class="s2">.png"</span>
<span class="n">rgb</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">rgb_path</span><span class="p">)</span>
<span class="n">depth</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">depth_path</span><span class="p">)</span>
<span class="n">instances</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">instance_path</span><span class="p">)</span>
<span class="c1"># Note: Images are rotated to upright for visualization.</span>
<span class="c1"># However, the camera calibration is for the original orientation.</span>
<span class="n">rgb_to_plot</span> <span class="o">=</span> <span class="n">rgb</span><span class="o">.</span><span class="n">rotate</span><span class="p">(</span><span class="o">-</span><span class="mi">90</span><span class="p">,</span> <span class="n">expand</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">depth_to_plot</span> <span class="o">=</span> <span class="n">depth</span><span class="o">.</span><span class="n">rotate</span><span class="p">(</span><span class="o">-</span><span class="mi">90</span><span class="p">,</span> <span class="n">expand</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">instances_to_plot</span> <span class="o">=</span> <span class="n">instances</span><span class="o">.</span><span class="n">rotate</span><span class="p">(</span><span class="o">-</span><span class="mi">90</span><span class="p">,</span> <span class="n">expand</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<h1 id="Part-3:-Project-Points-into-Images">Part 3: Project Points into Images<a class="anchor-link" href="#Part-3:-Project-Points-into-Images"></a></h1>
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<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">projectaria_tools.projects</span> <span class="kn">import</span> <span class="n">ase</span>
<span class="k">def</span> <span class="nf">transform_3d_points</span><span class="p">(</span><span class="n">transform</span><span class="p">,</span> <span class="n">points</span><span class="p">):</span>
<span class="n">N</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">points</span><span class="p">)</span>
<span class="n">points_h</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="n">points</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">((</span><span class="n">N</span><span class="p">,</span> <span class="mi">1</span><span class="p">))],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">transformed_points_h</span> <span class="o">=</span> <span class="p">(</span><span class="n">transform</span> <span class="o">@</span> <span class="n">points_h</span><span class="o">.</span><span class="n">T</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
<span class="n">transformed_points</span> <span class="o">=</span> <span class="n">transformed_points_h</span><span class="p">[:,</span> <span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
<span class="k">return</span> <span class="n">transformed_points</span>
<span class="c1"># Load camera calibration</span>
<span class="n">device</span> <span class="o">=</span> <span class="n">ase</span><span class="o">.</span><span class="n">get_ase_rgb_calibration</span><span class="p">()</span>
<span class="c1"># Load the trajectory using read_trajectory_file() </span>
<span class="n">trajectory_path</span> <span class="o">=</span> <span class="n">scene_path</span> <span class="o">/</span> <span class="s2">"trajectory.csv"</span>
<span class="n">trajectory</span> <span class="o">=</span> <span class="n">read_trajectory_file</span><span class="p">(</span><span class="n">trajectory_path</span><span class="p">)</span>
<span class="c1"># Load scene point cloud using read_points_file()</span>
<span class="n">points_path</span> <span class="o">=</span> <span class="n">scene_path</span> <span class="o">/</span> <span class="s2">"semidense_points.csv.gz"</span>
<span class="n">points_world</span> <span class="o">=</span> <span class="n">read_points_file</span><span class="p">(</span><span class="n">points_path</span><span class="p">)</span>
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<pre>Loaded trajectory with 350 device poses.
Loaded point cloud with 433426 points.
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Transform the points into the device coordinate frame</span>
<span class="n">T_world_from_device</span> <span class="o">=</span> <span class="n">trajectory</span><span class="p">[</span><span class="s2">"Ts_world_from_device"</span><span class="p">][</span><span class="n">frame_idx</span><span class="p">]</span>
<span class="n">T_device_from_world</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">inv</span><span class="p">(</span><span class="n">T_world_from_device</span><span class="p">)</span>
<span class="n">points_device</span> <span class="o">=</span> <span class="n">transform_3d_points</span><span class="p">(</span><span class="n">T_device_from_world</span><span class="p">,</span> <span class="n">points_world</span><span class="p">)</span>
<span class="c1"># move from device to camera frame (device is device center but camera is offset)</span>
<span class="c1"># Transform the points into the RGB camera coordinate frame</span>
<span class="n">T_device_from_camera</span> <span class="o">=</span> <span class="n">device</span><span class="o">.</span><span class="n">get_transform_device_camera</span><span class="p">()</span><span class="o">.</span><span class="n">to_matrix</span><span class="p">()</span>
<span class="n">T_camera_from_device</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">inv</span><span class="p">(</span><span class="n">T_device_from_camera</span><span class="p">)</span>
<span class="n">points_device</span> <span class="o">=</span> <span class="n">transform_3d_points</span><span class="p">(</span><span class="n">T_camera_from_device</span><span class="p">,</span> <span class="n">points_device</span><span class="p">)</span>
<span class="c1"># Project points into the image</span>
<span class="n">points_image</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">points_device_filtered</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">depths</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">point_device</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">points_device</span><span class="p">):</span>
<span class="n">point_image</span> <span class="o">=</span> <span class="n">device</span><span class="o">.</span><span class="n">project</span><span class="p">(</span><span class="n">point_device</span><span class="p">)</span>
<span class="k">if</span> <span class="n">point_image</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">points_image</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">point_image</span><span class="p">)</span>
<span class="n">points_device_filtered</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">point_device</span><span class="p">)</span>
<span class="n">points_image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">points_image</span><span class="p">)</span>
<span class="nb">print</span> <span class="p">(</span><span class="nb">len</span> <span class="p">(</span><span class="n">points_image</span><span class="p">))</span>
<span class="c1"># Overlay projected points onto image</span>
<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">rgb</span><span class="p">))</span>
<span class="c1"># plt.scatter(points_image[:, 0], points_image[:, 1], s=0.01, alpha=0.3, c="#FFFFFF")</span>
<span class="n">plt</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s2">"off"</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
<span class="nb">print</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">rgb</span><span class="p">)</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">rgb</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">points_image</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">points_image</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">s</span><span class="o">=</span><span class="mf">0.01</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s2">"#FFFFFF"</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s2">"off"</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
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<pre>56286
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"/>
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<pre>(704, 704, 3)
</pre>
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"/>
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<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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<div class="jp-InputArea jp-Cell-inputArea">
<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">points_image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">points_image</span><span class="p">)</span>
<span class="n">points_device_filtered</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">points_device_filtered</span><span class="p">)</span>
<span class="n">depth_img</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">depth</span><span class="p">)</span>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># make a 3D plot with the depthmap - pull that into 3D, and the camera frame z depth</span>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">depth_img</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
<span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">depth_img</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">xx</span><span class="p">,</span> <span class="n">yy</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
<span class="n">x_flat</span> <span class="o">=</span> <span class="n">xx</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
<span class="n">y_flat</span> <span class="o">=</span> <span class="n">yy</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
<span class="n">z_flat</span> <span class="o">=</span> <span class="n">depth_img</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
<span class="n">x_flat_norm</span> <span class="o">=</span> <span class="p">(</span><span class="n">x_flat</span><span class="o">-</span><span class="p">(</span><span class="n">x_flat</span><span class="o">.</span><span class="n">max</span><span class="p">()</span><span class="o">/</span><span class="mi">2</span><span class="p">))</span> <span class="c1"># center</span>
<span class="n">y_flat_norm</span> <span class="o">=</span> <span class="p">(</span><span class="n">y_flat</span><span class="o">-</span><span class="p">(</span><span class="n">y_flat</span><span class="o">.</span><span class="n">max</span><span class="p">()</span><span class="o">/</span><span class="mi">2</span><span class="p">))</span>
<span class="n">plot_traces</span> <span class="o">=</span> <span class="p">[</span><span class="n">go</span><span class="o">.</span><span class="n">Scatter3d</span><span class="p">(</span>
<span class="n">x</span><span class="o">=</span><span class="n">x_flat_norm</span><span class="p">,</span>
<span class="n">y</span><span class="o">=</span><span class="n">y_flat_norm</span><span class="p">,</span>
<span class="n">z</span><span class="o">=</span><span class="n">z_flat</span><span class="p">,</span>
<span class="n">mode</span><span class="o">=</span><span class="s2">"markers"</span><span class="p">,</span>
<span class="n">name</span><span class="o">=</span><span class="s2">"rendered depth map"</span><span class="p">,</span>
<span class="n">marker</span><span class="o">=</span><span class="p">{</span>
<span class="s2">"size"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
<span class="s2">"opacity"</span><span class="p">:</span> <span class="mf">0.2</span><span class="p">,</span>
<span class="s2">"color"</span><span class="p">:</span> <span class="n">z_flat</span><span class="p">,</span>
<span class="s2">"colorscale"</span><span class="p">:</span> <span class="s2">"Viridis"</span><span class="p">,</span>
<span class="s2">"colorbar"</span><span class="p">:</span> <span class="p">{</span><span class="s2">"title"</span><span class="p">:</span> <span class="s2">"Depth"</span><span class="p">},</span>
<span class="p">}</span>
<span class="p">),</span><span class="n">go</span><span class="o">.</span><span class="n">Scatter3d</span><span class="p">(</span>
<span class="n">x</span><span class="o">=</span><span class="n">points_image</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]</span><span class="o">-</span><span class="p">(</span><span class="n">points_image</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()</span><span class="o">/</span><span class="mi">2</span><span class="p">),</span>
<span class="n">y</span><span class="o">=</span><span class="n">points_image</span><span class="p">[:,</span><span class="mi">1</span><span class="p">]</span><span class="o">-</span><span class="p">(</span><span class="n">points_image</span><span class="p">[:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()</span><span class="o">/</span><span class="mi">2</span><span class="p">),</span>
<span class="n">z</span><span class="o">=</span><span class="n">points_device_filtered</span><span class="p">[:,</span><span class="mi">2</span><span class="p">]</span><span class="o">*</span><span class="mi">1000</span><span class="p">,</span>
<span class="n">mode</span><span class="o">=</span><span class="s2">"markers"</span><span class="p">,</span>
<span class="n">name</span><span class="o">=</span><span class="s2">"point cloud"</span><span class="p">,</span>
<span class="n">marker</span><span class="o">=</span><span class="p">{</span>
<span class="s2">"size"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
<span class="s2">"opacity"</span><span class="p">:</span> <span class="mf">0.2</span><span class="p">,</span>
<span class="p">}</span>
<span class="p">)</span>
<span class="p">]</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">plot_traces</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">update_layout</span><span class="p">(</span>
<span class="n">height</span><span class="o">=</span><span class="mi">600</span>
<span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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