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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>efficient_tuner</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,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);
 --jp-icon-build: url(data:image/svg+xml;base64,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);
 --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
 --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
 --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
 --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
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 --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
 --jp-icon-react: url(data:image/svg+xml;base64,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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);
 --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
 --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
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 --jp-icon-toc: url(data:image/svg+xml;base64,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);
 --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
 --jp-icon-trusted: url(data:image/svg+xml;base64,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);
 --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
 --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
 --jp-icon-users: url(data:image/svg+xml;base64,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);
 --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
 --jp-icon-word: url(data:image/svg+xml;base64,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);
 --jp-icon-yaml: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbi1jb250cmFzdDIganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjRDgxQjYwIj4KICAgIDxwYXRoIGQ9Ik03LjIgMTguNnYtNS40TDMgNS42aDMuM2wxLjQgMy4xYy4zLjkuNiAxLjYgMSAyLjUuMy0uOC42LTEuNiAxLTIuNWwxLjQtMy4xaDMuNGwtNC40IDcuNnY1LjVsLTIuOS0uMXoiLz4KICAgIDxjaXJjbGUgY2xhc3M9InN0MCIgY3g9IjE3LjYiIGN5PSIxNi41IiByPSIyLjEiLz4KICAgIDxjaXJjbGUgY2xhc3M9InN0MCIgY3g9IjE3LjYiIGN5PSIxMSIgcj0iMi4xIi8+CiAgPC9nPgo8L3N2Zz4K);
}
/* 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
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 * 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);
}
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<style type="text/css">
/* Force rendering true colors when outputing to pdf */
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/* Misc */
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/* Input area styling */
.jp-InputArea {
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}
.jp-InputArea-editor {
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.cm-editor.cm-s-jupyter .highlight pre {
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.jp-OutputArea-output pre {
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}
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<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
<main>
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=44a7b837-7b70-4b13-bd7b-e596faaae3cd">
<div class="jp-Cell-inputWrapper" tabindex="0">
<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">
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
<h1 id="Train-with-efficient-net">Train with efficient net<a class="anchor-link" href="#Train-with-efficient-net"></a></h1><h2 id="Train-all-the-images-with-binary-label">Train all the images with binary label<a class="anchor-link" href="#Train-all-the-images-with-binary-label"></a></h2>
</div>
</div>
</div>
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=06687c4a-734a-4dfe-981d-2b199308b8a2">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<div class="jp-InputArea jp-Cell-inputArea">
<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
<div class="cm-editor cm-s-jupyter">
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># import libraries</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">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
<span class="kn">import</span> <span class="nn">keras_tuner</span>
<span class="kn">import</span> <span class="nn">PIL</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">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="c1"># Seed the tf, numpy and python with a fix random number</span>
<span class="n">seed</span> <span class="o">=</span> <span class="mi">93</span>
<span class="kn">import</span> <span class="nn">random</span> <span class="c1"># from the python library</span>
<span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span>
<span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span>
<span class="n">tf</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">set_seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span>
<span class="c1"># Set the difficulty level to train</span>
<span class="n">DIFF_LEVEL</span> <span class="o">=</span> <span class="s2">"binary"</span> <span class="c1"># binary, multi, easy, mid, hard</span>
<span class="c1"># Train all the images with binary label</span>
<span class="n">NUM_CLASSES</span> <span class="o">=</span> <span class="mi">1</span> <span class="c1"># number of classes = 5 if multilabel is used</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># List the gpu</span>
<span class="n">devices</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">list_physical_devices</span><span class="p">(</span><span class="s2">"GPU"</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">devices</span><span class="p">)</span>
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<pre>[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># path of the dataset saved from previous step</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="c1"># path: dataset\train\ds_binary.</span>
<span class="c1"># path: dataset\train\ds_multi.</span>
<span class="n">diff_level</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"ds_</span><span class="si">{</span><span class="n">DIFF_LEVEL</span><span class="si">}</span><span class="s2">"</span>
<span class="n">dataset_file</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">join</span><span class="p">(</span><span class="s2">"dataset"</span><span class="p">,</span> <span class="s2">"train"</span><span class="p">,</span> <span class="n">diff_level</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Dataset file: </span><span class="si">{</span><span class="n">dataset_file</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
<span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">dataset_file</span><span class="p">)</span> <span class="ow">is</span> <span class="kc">False</span><span class="p">:</span>
 <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"File not found: </span><span class="si">{</span><span class="n">dataset_file</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
 <span class="n">exit</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="c1"># Load the dataset</span>
<span class="n">ds</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">Dataset</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">dataset_file</span><span class="p">)</span>
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<pre>Dataset file: dataset\train\ds_binary
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># print the loaded dataset info</span>
<span class="k">def</span> <span class="nf">print_dataset_info</span><span class="p">(</span><span class="n">dataset</span><span class="p">):</span>
 <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Image arrays: </span><span class="si">{</span><span class="n">dataset</span><span class="o">.</span><span class="n">element_spec</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s2">, </span><span class="si">{</span><span class="n">dataset</span><span class="o">.</span><span class="n">element_spec</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">dtype</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Label arrays: </span><span class="si">{</span><span class="n">dataset</span><span class="o">.</span><span class="n">element_spec</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s2">, </span><span class="si">{</span><span class="n">dataset</span><span class="o">.</span><span class="n">element_spec</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">dtype</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
 <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"cardinality: </span><span class="si">{</span><span class="n">dataset</span><span class="o">.</span><span class="n">cardinality</span><span class="p">()</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">print_dataset_info</span><span class="p">(</span><span class="n">ds</span><span class="p">)</span>
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<pre>Image arrays: (224, 224, 3), &lt;dtype: 'float32'&gt;
Label arrays: (), &lt;dtype: 'int32'&gt;
cardinality: 2028
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<h1 id="Prepare-dataset">Prepare dataset<a class="anchor-link" href="#Prepare-dataset"></a></h1>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># split the dataset into train and validation set</span>
<span class="n">ds_train</span><span class="p">,</span> <span class="n">ds_val</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">split_dataset</span><span class="p">(</span>
 <span class="n">ds</span><span class="p">,</span> <span class="n">left_size</span><span class="o">=</span><span class="mf">0.9</span><span class="p">,</span> <span class="n">right_size</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span>
<span class="p">)</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"train set: </span><span class="si">{</span><span class="n">ds_train</span><span class="o">.</span><span class="n">cardinality</span><span class="p">()</span><span class="si">}</span><span class="s2">, </span><span class="se">\n</span><span class="s2">validation set: </span><span class="si">{</span><span class="n">ds_val</span><span class="o">.</span><span class="n">cardinality</span><span class="p">()</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
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<pre>train set: 1825,
validation set: 203
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># preprocess input</span>
<span class="c1"># data augmentation and the pretrained model's preprocess function</span>
<span class="n">img_augmentation_layers</span> <span class="o">=</span> <span class="p">[</span>
 <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="n">factor</span><span class="o">=</span><span class="mf">0.15</span><span class="p">),</span>
 <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">RandomTranslation</span><span class="p">(</span><span class="n">height_factor</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">width_factor</span><span class="o">=</span><span class="mf">0.1</span><span class="p">),</span>
<span class="p">]</span>
<span class="k">def</span> <span class="nf">img_augmentation</span><span class="p">(</span><span class="n">images</span><span class="p">):</span>
 <span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="n">img_augmentation_layers</span><span class="p">:</span>
 <span class="n">images</span> <span class="o">=</span> <span class="n">layer</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
 <span class="k">return</span> <span class="n">images</span>
<span class="c1"># the preprocess function of the pretrained model</span>
<span class="n">pretrained_model_preprocess_fn</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">applications</span><span class="o">.</span><span class="n">efficientnet_v2</span><span class="o">.</span><span class="n">preprocess_input</span>
<span class="k">def</span> <span class="nf">input_preprocess_train</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">label</span><span class="p">):</span>
 <span class="c1">#image = img_augmentation(image) </span>
 <span class="n">image</span> <span class="o">=</span> <span class="n">pretrained_model_preprocess_fn</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
 <span class="k">return</span> <span class="n">image</span><span class="p">,</span> <span class="n">label</span>
<span class="c1"># do not augment the data in the validation or test set</span>
<span class="k">def</span> <span class="nf">input_preprocess_test</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">label</span><span class="p">):</span>
 <span class="n">image</span> <span class="o">=</span> <span class="n">pretrained_model_preprocess_fn</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
 <span class="k">return</span> <span class="n">image</span><span class="p">,</span> <span class="n">label</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">BATCH_SIZE</span> <span class="o">=</span> <span class="mi">16</span>
<span class="n">ds_train</span> <span class="o">=</span> <span class="n">ds_train</span><span class="o">.</span><span class="n">shuffle</span><span class="p">(</span><span class="n">buffer_size</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span>
<span class="n">ds_train</span> <span class="o">=</span> <span class="n">ds_train</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">:</span> <span class="n">input_preprocess_train</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">num_parallel_calls</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">AUTOTUNE</span><span class="p">,</span>
 <span class="n">deterministic</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">ds_train</span> <span class="o">=</span> <span class="n">ds_train</span><span class="o">.</span><span class="n">cache</span><span class="p">()</span>
<span class="n">ds_train</span> <span class="o">=</span> <span class="n">ds_train</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">batch_size</span><span class="o">=</span><span class="n">BATCH_SIZE</span><span class="p">,</span>
 <span class="n">num_parallel_calls</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">AUTOTUNE</span><span class="p">,</span>
 <span class="n">deterministic</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
 <span class="n">drop_remainder</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">ds_train</span> <span class="o">=</span> <span class="n">ds_train</span><span class="o">.</span><span class="n">prefetch</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">AUTOTUNE</span><span class="p">)</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">ds_val</span> <span class="o">=</span> <span class="n">ds_val</span><span class="o">.</span><span class="n">shuffle</span><span class="p">(</span><span class="n">buffer_size</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span>
<span class="n">ds_val</span> <span class="o">=</span> <span class="n">ds_val</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">:</span> <span class="n">input_preprocess_test</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">num_parallel_calls</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">AUTOTUNE</span><span class="p">,</span>
 <span class="n">deterministic</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">ds_val</span> <span class="o">=</span> <span class="n">ds_val</span><span class="o">.</span><span class="n">cache</span><span class="p">()</span>
<span class="n">ds_val</span> <span class="o">=</span> <span class="n">ds_val</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">batch_size</span><span class="o">=</span><span class="n">BATCH_SIZE</span><span class="p">,</span>
 <span class="n">num_parallel_calls</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">AUTOTUNE</span><span class="p">,</span>
 <span class="n">deterministic</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
 <span class="n">drop_remainder</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">ds_val</span> <span class="o">=</span> <span class="n">ds_val</span><span class="o">.</span><span class="n">prefetch</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">AUTOTUNE</span><span class="p">)</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">ds_t</span> <span class="o">=</span> <span class="n">ds_train</span><span class="o">.</span><span class="n">take</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="n">ds_v</span> <span class="o">=</span> <span class="n">ds_val</span><span class="o">.</span><span class="n">take</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">ds_t</span>
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<pre>&lt;TakeDataset element_spec=(TensorSpec(shape=(16, 224, 224, 3), dtype=tf.float32, name=None), TensorSpec(shape=(16,), dtype=tf.int32, name=None))&gt;</pre>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">ds_v</span>
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<pre>&lt;TakeDataset element_spec=(TensorSpec(shape=(16, 224, 224, 3), dtype=tf.float32, name=None), TensorSpec(shape=(16,), dtype=tf.int32, name=None))&gt;</pre>
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<div class="highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"train set: </span><span class="si">{</span><span class="n">ds_t</span><span class="o">.</span><span class="n">cardinality</span><span class="p">()</span><span class="si">}</span><span class="s2">, </span><span class="se">\n</span><span class="s2">validation set: </span><span class="si">{</span><span class="n">ds_v</span><span class="o">.</span><span class="n">cardinality</span><span class="p">()</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
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<pre>train set: 1,
validation set: 1
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<h1 id="Callbacks-layers-and-optimizer-learning-rate-scheduler">Callbacks layers and optimizer learning rate scheduler<a class="anchor-link" href="#Callbacks-layers-and-optimizer-learning-rate-scheduler"></a></h1>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># The ModelCheckpoint callback can be used to implement fault-tolerance: the </span>
<span class="c1"># ability to restart training from the last saved state of the model in case </span>
<span class="c1"># training gets randomly interrupted.</span>
<span class="c1"># setup the callbacks</span>
<span class="c1"># tensorboard log directory</span>
<span class="n">logdir</span> <span class="o">=</span> <span class="s2">"logdir"</span>
<span class="n">checkpoint_dir</span> <span class="o">=</span> <span class="s2">"checkpoint"</span>
<span class="c1"># check for the directory</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">logdir</span><span class="p">):</span>
 <span class="n">os</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">logdir</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">checkpoint_dir</span><span class="p">):</span>
 <span class="n">os</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">checkpoint_dir</span><span class="p">)</span>
<span class="kn">import</span> <span class="nn">time</span> <span class="c1"># to format time</span>
<span class="n">model_name</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"best_</span><span class="si">{</span><span class="n">DIFF_LEVEL</span><span class="si">}</span><span class="s2">_</span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">'</span><span class="si">%d</span><span class="s1">_%m_%H%M'</span><span class="p">)</span><span class="si">}</span><span class="s2">.keras"</span>
<span class="n">checkpoint_filepath</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">join</span><span class="p">(</span><span class="n">checkpoint_dir</span><span class="p">,</span> <span class="n">model_name</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Checkpoint filepath: </span><span class="si">{</span><span class="n">checkpoint_filepath</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
<span class="n">callbacks</span> <span class="o">=</span> <span class="p">[</span>
 <span class="c1"># early stopping</span>
 <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">callbacks</span><span class="o">.</span><span class="n">EarlyStopping</span><span class="p">(</span><span class="n">patience</span><span class="o">=</span><span class="mi">150</span><span class="p">),</span>
 <span class="c1"># Save the best model</span>
 <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">callbacks</span><span class="o">.</span><span class="n">ModelCheckpoint</span><span class="p">(</span>
 <span class="n">filepath</span><span class="o">=</span><span class="n">checkpoint_filepath</span><span class="p">,</span>
 <span class="n">save_weights_only</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
 <span class="n">monitor</span><span class="o">=</span><span class="s1">'val_binary_accuracy'</span><span class="p">,</span>
 <span class="n">mode</span><span class="o">=</span><span class="s1">'max'</span><span class="p">,</span>
 <span class="n">save_best_only</span><span class="o">=</span><span class="kc">True</span>
 <span class="p">),</span>
 <span class="c1"># tensorboard</span>
 <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">callbacks</span><span class="o">.</span><span class="n">TensorBoard</span><span class="p">(</span>
 <span class="n">log_dir</span><span class="o">=</span><span class="n">logdir</span><span class="p">,</span>
 <span class="n">update_freq</span><span class="o">=</span><span class="s2">"epoch"</span>
 <span class="p">)</span>
<span class="p">]</span>
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<pre>Checkpoint filepath: checkpoint\best_binary_10_02_1124.keras
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<h1 id="Learning-rate-scheduluer">Learning rate scheduluer<a class="anchor-link" href="#Learning-rate-scheduluer"></a></h1>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Not using</span>
<span class="c1"># Gradually reduce learning rate</span>
<span class="c1"># Use default value</span>
<span class="n">initial_learning_rate</span> <span class="o">=</span> <span class="mf">1e-3</span>
<span class="n">lr_schedule</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">optimizers</span><span class="o">.</span><span class="n">schedules</span><span class="o">.</span><span class="n">ExponentialDecay</span><span class="p">(</span>
 <span class="n">initial_learning_rate</span><span class="p">,</span>
 <span class="n">decay_steps</span><span class="o">=</span><span class="mi">100000</span><span class="p">,</span>
 <span class="n">decay_rate</span><span class="o">=</span><span class="mf">0.96</span><span class="p">,</span>
 <span class="n">staircase</span><span class="o">=</span><span class="kc">True</span>
<span class="p">)</span>
<span class="n">lr_schedule</span>
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<pre>&lt;keras.optimizers.schedules.learning_rate_schedule.ExponentialDecay at 0x21ab1367340&gt;</pre>
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<h1 id="Efficient-net">Efficient net<a class="anchor-link" href="#Efficient-net"></a></h1>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># prepare the dataset</span>
<span class="k">def</span> <span class="nf">plot_history</span><span class="p">(</span><span class="n">history</span><span class="p">):</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s2">"binary_accuracy"</span><span class="p">])</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s2">"val_binary_accuracy"</span><span class="p">])</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Model accuracy"</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"accuracy"</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">"epoch"</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="n">visible</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="s2">"both"</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s2">"train"</span><span class="p">,</span> <span class="s2">"validation"</span><span class="p">],</span> <span class="n">loc</span><span class="o">=</span><span class="s2">"upper left"</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># EfficientNetB7, image resolution: 600 x 600</span>
<span class="c1"># Get the image size</span>
<span class="n">IMG_SIZE</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">element_spec</span><span class="p">[</span><span class="mi">0</span><span class="p">]</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="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Image size: </span><span class="si">{</span><span class="n">IMG_SIZE</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
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<pre>Image size: 224
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<h1 id="Keras-tuner">Keras tuner<a class="anchor-link" href="#Keras-tuner"></a></h1><h2 id="Build-model-and-compile-model">Build model and compile model<a class="anchor-link" href="#Build-model-and-compile-model"></a></h2>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># EfficientNetV2 models expect their inputs to be float tensors of pixels with values in the [0-255] range.</span>
<span class="c1"># Use EfficientNetB7</span>
<span class="c1"># build_model: Set the range of hyperparameters.</span>
<span class="c1"># Then, it will call the exisiting model building code.</span>
<span class="k">def</span> <span class="nf">build_model</span><span class="p">(</span><span class="n">hp</span><span class="p">):</span>
 <span class="n">pooling</span> <span class="o">=</span> <span class="n">hp</span><span class="o">.</span><span class="n">Choice</span><span class="p">(</span><span class="s2">"pooling"</span><span class="p">,</span> <span class="p">[</span><span class="s2">"average"</span><span class="p">,</span> <span class="s2">"global"</span><span class="p">])</span>
 <span class="n">norm</span> <span class="o">=</span> <span class="n">hp</span><span class="o">.</span><span class="n">Boolean</span><span class="p">(</span><span class="s2">"norm"</span><span class="p">)</span>
 <span class="n">units</span> <span class="o">=</span> <span class="n">hp</span><span class="o">.</span><span class="n">Int</span><span class="p">(</span><span class="s2">"units"</span><span class="p">,</span> <span class="n">min_value</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">max_value</span><span class="o">=</span><span class="mi">512</span><span class="p">,</span> <span class="n">step</span><span class="o">=</span><span class="mi">32</span><span class="p">)</span>
 <span class="n">dropout</span> <span class="o">=</span> <span class="n">hp</span><span class="o">.</span><span class="n">Float</span><span class="p">(</span><span class="s2">"dropout"</span><span class="p">,</span> <span class="n">min_value</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">max_value</span><span class="o">=</span><span class="mf">0.4</span><span class="p">,</span> <span class="n">step</span><span class="o">=</span><span class="mf">0.1</span><span class="p">)</span>
 <span class="c1"># call the actual model building code</span>
 <span class="n">model</span> <span class="o">=</span> <span class="n">call_existing_code</span><span class="p">(</span><span class="n">pooling</span><span class="p">,</span> <span class="n">norm</span><span class="p">,</span> <span class="n">units</span><span class="p">,</span> <span class="n">dropout</span><span class="p">)</span>
 <span class="k">return</span> <span class="n">model</span>
<span class="c1"># This is called by the keras tuner.</span>
<span class="c1"># This is the existing model building code that is working.</span>
<span class="k">def</span> <span class="nf">call_existing_code</span><span class="p">(</span><span class="n">pooling</span><span class="p">,</span> <span class="n">norm</span><span class="p">,</span> <span class="n">units</span><span class="p">,</span> <span class="n">dropout</span><span class="p">):</span>
 <span class="n">inputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="n">IMG_SIZE</span><span class="p">,</span> <span class="n">IMG_SIZE</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
 <span class="c1"># drop_connect_rate which controls the dropout rate responsible for stochastic depth</span>
 <span class="c1"># use this for stronger regularization</span>
 <span class="k">global</span> <span class="n">base_model</span>
 <span class="n">base_model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">applications</span><span class="o">.</span><span class="n">EfficientNetV2B0</span><span class="p">(</span>
 <span class="n">include_top</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
<span class="n">input_tensor</span><span class="o">=</span><span class="n">inputs</span><span class="p">,</span>
<span class="n">weights</span><span class="o">=</span><span class="s2">"imagenet"</span><span class="p">,</span>
 <span class="p">)</span>
<span class="c1"># Freeze the pretrained weights</span>
 <span class="n">base_model</span><span class="o">.</span><span class="n">trainable</span> <span class="o">=</span> <span class="kc">False</span>
<span class="c1"># Rebuild top</span>
 <span class="c1"># pooling=None means that the output of the model will be the </span>
 <span class="c1"># 4D tensor output of the last convolutional layer.</span>
 <span class="k">if</span> <span class="n">pooling</span> <span class="o">==</span> <span class="s2">"average"</span><span class="p">:</span>
 <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">GlobalAveragePooling2D</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"avg_pool"</span><span class="p">)(</span><span class="n">base_model</span><span class="o">.</span><span class="n">output</span><span class="p">)</span>
 <span class="k">elif</span> <span class="n">pooling</span> <span class="o">==</span> <span class="s2">"global"</span><span class="p">:</span>
 <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">GlobalMaxPooling2D</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"max_pool"</span><span class="p">)(</span><span class="n">base_model</span><span class="o">.</span><span class="n">output</span><span class="p">)</span>
<span class="c1"># if normalization is used</span>
 <span class="k">if</span> <span class="n">norm</span> <span class="ow">is</span> <span class="kc">True</span><span class="p">:</span>
 <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">BatchNormalization</span><span class="p">()(</span><span class="n">x</span><span class="p">)</span>
<span class="c1"># Add a dense layer</span>
 <span class="c1"># The units are chosen from the hyperparameters</span>
 <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="n">units</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">'relu'</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span>
 <span class="c1"># Drop out</span>
 <span class="c1"># dropout rate from the hyperparameters</span>
 <span class="n">top_dropout_rate</span> <span class="o">=</span> <span class="n">dropout</span>
 <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span>
 <span class="n">top_dropout_rate</span><span class="p">,</span>
<span class="n">name</span><span class="o">=</span><span class="s2">"top_dropout"</span><span class="p">,</span>
 <span class="n">seed</span><span class="o">=</span><span class="n">seed</span>
 <span class="p">)(</span><span class="n">x</span><span class="p">)</span>
 <span class="c1"># set the number of classes</span>
 <span class="n">num_classes</span> <span class="o">=</span> <span class="n">NUM_CLASSES</span>
 <span class="n">outputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span>
 <span class="n">num_classes</span><span class="p">,</span>
<span class="n">activation</span><span class="o">=</span><span class="s2">"sigmoid"</span><span class="p">,</span>
<span class="n">name</span><span class="o">=</span><span class="s2">"predict"</span><span class="p">,</span>
 <span class="n">kernel_regularizer</span><span class="o">=</span><span class="s2">"l2"</span><span class="p">,</span>
 <span class="n">bias_regularizer</span><span class="o">=</span><span class="s2">"l2"</span><span class="p">,</span>
 <span class="n">activity_regularizer</span><span class="o">=</span><span class="s2">"l2"</span><span class="p">,</span>
 <span class="p">)(</span><span class="n">x</span><span class="p">)</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">outputs</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s2">"MyEfficient-V2B0"</span><span class="p">)</span>
 <span class="n">model</span> <span class="o">=</span> <span class="n">compile_model</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
 <span class="k">return</span> <span class="n">model</span>
<span class="k">def</span> <span class="nf">compile_model</span><span class="p">(</span><span class="n">model</span><span class="p">):</span>
 <span class="c1"># Compile</span>
 <span class="n">optimizer</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">optimizers</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">learning_rate</span><span class="o">=</span><span class="n">lr_schedule</span><span class="p">)</span>
 <span class="n">metrics</span> <span class="o">=</span> <span class="p">[</span>
 <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">BinaryAccuracy</span><span class="p">(),</span>
 <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">Precision</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"precision"</span><span class="p">),</span>
 <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">Recall</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"recall"</span><span class="p">),</span>
 <span class="p">]</span>
 <span class="n">model</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span>
 <span class="n">optimizer</span><span class="o">=</span><span class="n">optimizer</span><span class="p">,</span>
<span class="n">loss</span><span class="o">=</span><span class="s2">"binary_crossentropy"</span><span class="p">,</span>
<span class="n">metrics</span><span class="o">=</span><span class="n">metrics</span><span class="p">,</span>
 <span class="p">)</span>
<span class="k">return</span> <span class="n">model</span>
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<h1 id="Keras-tuner-searche_summary()">Keras tuner searche_summary()<a class="anchor-link" href="#Keras-tuner-searche_summary()"></a></h1>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">tuner</span> <span class="o">=</span> <span class="n">keras_tuner</span><span class="o">.</span><span class="n">RandomSearch</span><span class="p">(</span>
 <span class="n">hypermodel</span><span class="o">=</span><span class="n">build_model</span><span class="p">,</span>
 <span class="n">objective</span><span class="o">=</span><span class="s2">"val_binary_accuracy"</span><span class="p">,</span>
 <span class="n">max_trials</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span>
 <span class="n">executions_per_trial</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
 <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">,</span>
 <span class="n">overwrite</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
 <span class="n">directory</span><span class="o">=</span><span class="s2">"hp_search"</span><span class="p">,</span>
 <span class="n">project_name</span><span class="o">=</span><span class="s2">"all_faces"</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">tuner</span><span class="o">.</span><span class="n">search_space_summary</span><span class="p">()</span>
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<pre>Search space summary
Default search space size: 4
pooling (Choice)
{'default': 'average', 'conditions': [], 'values': ['average', 'global'], 'ordered': False}
norm (Boolean)
{'default': False, 'conditions': []}
units (Int)
{'default': None, 'conditions': [], 'min_value': 64, 'max_value': 512, 'step': 32, 'sampling': 'linear'}
dropout (Float)
{'default': 0.1, 'conditions': [], 'min_value': 0.1, 'max_value': 0.4, 'step': 0.1, 'sampling': 'linear'}
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">model</span> <span class="o">=</span> <span class="n">build_model</span><span class="p">(</span><span class="n">keras_tuner</span><span class="o">.</span><span class="n">HyperParameters</span><span class="p">())</span>
<span class="c1">#model = compile_model(model) # this will be called in the build_model</span>
<span class="n">epochs</span> <span class="o">=</span> <span class="mi">1000</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># This will be called by the tuner search</span>
<span class="n">tuner</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="n">ds_train</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="n">epochs</span><span class="p">,</span> <span class="n">validation_data</span><span class="o">=</span><span class="n">ds_val</span><span class="p">,</span> <span class="n">callbacks</span><span class="o">=</span><span class="n">callbacks</span><span class="p">)</span>
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<pre>Trial 10 Complete [01h 26m 10s]
val_binary_accuracy: 0.6197916865348816
Best val_binary_accuracy So Far: 0.6770833730697632
Total elapsed time: 18h 22m 19s
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># The model weights (that are considered the best) can be loaded as -</span>
<span class="c1">#model.load_weights(checkpoint_filepath)</span>
<span class="n">model_list</span> <span class="o">=</span> <span class="n">tuner</span><span class="o">.</span><span class="n">get_best_models</span><span class="p">(</span><span class="n">num_models</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">model_list</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="c1"># the best model from the tuner</span>
<span class="c1"># print a summary of the best trials</span>
<span class="n">tuner</span><span class="o">.</span><span class="n">results_summary</span><span class="p">(</span><span class="n">num_trials</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<pre>Results summary
Results in hp_search\all_faces
Showing 1 best trials
Objective(name="val_binary_accuracy", direction="max")
Trial 02 summary
Hyperparameters:
pooling: global
norm: False
units: 512
dropout: 0.4
Score: 0.6770833730697632
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Save the best model</span>
<span class="n">best_model</span> <span class="o">=</span> <span class="n">model_list</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="c1"># the best model from the tuner</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># print a summary of a few moretrials</span>
<span class="n">tuner</span><span class="o">.</span><span class="n">results_summary</span><span class="p">(</span><span class="n">num_trials</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
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<pre>Results summary
Results in hp_search\all_faces
Showing 5 best trials
Objective(name="val_binary_accuracy", direction="max")
Trial 02 summary
Hyperparameters:
pooling: global
norm: False
units: 512
dropout: 0.4
Score: 0.6770833730697632
Trial 08 summary
Hyperparameters:
pooling: global
norm: True
units: 64
dropout: 0.4
Score: 0.6588541865348816
Trial 07 summary
Hyperparameters:
pooling: average
norm: True
units: 64
dropout: 0.4
Score: 0.65625
Trial 05 summary
Hyperparameters:
pooling: average
norm: False
units: 480
dropout: 0.4
Score: 0.6536458432674408
Trial 01 summary
Hyperparameters:
pooling: average
norm: False
units: 256
dropout: 0.1
Score: 0.6484375298023224
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Reference: https://keras.io/api/applications/</span>
<span class="c1"># Layers in the base models and models</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Number of layers in base model </span><span class="si">{</span><span class="n">base_model</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">base_model</span><span class="o">.</span><span class="n">layers</span><span class="p">)</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Number of layers in feature extraction model </span><span class="si">{</span><span class="n">model</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">layers</span><span class="p">)</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
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<pre>Number of layers in base model efficientnetv2-b0: 270
Number of layers in feature extraction model MyEfficient-V2B0: 274
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<p>Further layer unfreezing is not workable on my device.</p>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># we chose to train the top 1 we will freeze</span>
<span class="c1"># the first 249 layers and unfreeze the rest:</span>
<span class="c1"># </span>
<span class="sd">"""</span>
<span class="sd">for layer in model.layers[:268]:</span>
<span class="sd"> layer.trainable = False</span>
<span class="sd">for layer in model.layers[268:]:</span>
<span class="sd"> layer.trainable = True</span>
<span class="sd">"""</span>
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<pre>'\nfor layer in model.layers[:268]:\n layer.trainable = False\nfor layer in model.layers[268:]:\n layer.trainable = True\n'</pre>
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<div class="highlight hl-ipython3"><pre><span></span><span class="sd">"""</span>
<span class="sd">model = compile_model(model)</span>
<span class="sd">model.fit(ds_train,</span>
<span class="sd"> epochs=epochs, </span>
<span class="sd"> validation_data=ds_val,</span>
<span class="sd"> callbacks=callbacks)</span>
<span class="sd">"""</span>
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<pre>'\nmodel = compile_model(model)\nmodel.fit(ds_train,\n epochs=epochs, \n validation_data=ds_val,\n callbacks=callbacks)\n'</pre>
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<h1 id="Save-the-model">Save the model<a class="anchor-link" href="#Save-the-model"></a></h1>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Save in tf SavedModel format</span>
<span class="n">model_filepath</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">join</span><span class="p">(</span><span class="s2">"model"</span><span class="p">,</span> <span class="s2">"all_binary_tf_6771"</span><span class="p">)</span>
<span class="n">tf</span><span class="o">.</span><span class="n">saved_model</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">best_model</span><span class="p">,</span> <span class="n">model_filepath</span><span class="p">)</span>
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<pre>WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 91). These functions will not be directly callable after loading.
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<pre>INFO:tensorflow:Assets written to: model\all_binary_tf_6771\assets
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<pre>INFO:tensorflow:Assets written to: model\all_binary_tf_6771\assets
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># save in keras format</span>
<span class="n">model_filepath</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">join</span><span class="p">(</span><span class="s2">"model"</span><span class="p">,</span> <span class="s2">"all_binary_6771.keras"</span><span class="p">)</span>
<span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">models</span><span class="o">.</span><span class="n">save_model</span><span class="p">(</span><span class="n">best_model</span><span class="p">,</span> <span class="n">model_filepath</span><span class="p">,</span> <span class="n">overwrite</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<h1 id="What-would-happened-if-the-best-hyperparameters-are-used-to-retrained-the-model?">What would happened if the best hyperparameters are used to retrained the model?<a class="anchor-link" href="#What-would-happened-if-the-best-hyperparameters-are-used-to-retrained-the-model?"></a></h1><p>Retrained the model with the best hyperparameters. However the val_binary_accuracy was not the same as the one from the best model. The reason could be that one epoch is not enough. The retraining may need many epochs to reach the val_binary_accuracy like the best model.</p>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Get the top hyperparameters.</span>
<span class="n">best_hps</span> <span class="o">=</span> <span class="n">tuner</span><span class="o">.</span><span class="n">get_best_hyperparameters</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="c1"># Build the model with the best hp.</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">build_model</span><span class="p">(</span><span class="n">best_hps</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="c1"># Fit with the entire dataset.</span>
<span class="c1"># Only need to train 1 time with the best hyperparameters.</span>
<span class="n">history</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">ds_train</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">validation_data</span><span class="o">=</span><span class="n">ds_val</span><span class="p">,</span> <span class="n">callbacks</span><span class="o">=</span><span class="n">callbacks</span><span class="p">)</span>
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<pre>114/114 [==============================] - 21s 152ms/step - loss: 1.7248 - binary_accuracy: 0.5132 - precision: 0.4819 - recall: 0.4337 - val_loss: 0.7009 - val_binary_accuracy: 0.5833 - val_precision: 0.5263 - val_recall: 0.3614
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s2">"val_binary_accuracy"</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
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<pre>0.5833333730697632</pre>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Quick summary of the best metrics according to binary_accuracy</span>
<span class="n">val</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argmax</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">history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s2">"val_binary_accuracy"</span><span class="p">]))</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Binary accuracy: </span><span class="si">{</span><span class="n">history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s1">'val_binary_accuracy'</span><span class="p">][</span><span class="n">val</span><span class="p">]</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Precision: </span><span class="si">{</span><span class="n">history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s1">'val_precision'</span><span class="p">][</span><span class="n">val</span><span class="p">]</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Recall: </span><span class="si">{</span><span class="n">history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s1">'val_recall'</span><span class="p">][</span><span class="n">val</span><span class="p">]</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
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<pre>Binary accuracy: 0.5833333730697632
Precision: 0.5263158082962036
Recall: 0.3614457845687866
</pre>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [32]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">plot_history</span><span class="p">(</span><span class="n">history</span><span class="p">)</span>
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"/>
</div>
</div>
</div>
</div>
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=677977de-0c9d-4570-88db-3387519a6ab2">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<div class="jp-InputArea jp-Cell-inputArea">
<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
<div class="cm-editor cm-s-jupyter">
<div class="highlight hl-ipython3"><pre><span></span>
</pre></div>
</div>
</div>
</div>
</div>
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=e1d51124-1024-40f8-9310-e9c285614bbc">
<div class="jp-Cell-inputWrapper" tabindex="0">
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
</div>
<div class="jp-InputArea jp-Cell-inputArea">
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