rpotter6298
11731 lines
2.4 MiB
Plaintext
11731 lines
2.4 MiB
Plaintext
<!DOCTYPE html>
|
|
<!-- saved from url=(0059)file:///C:/Users/stei/Downloads/Decision%20Tree%20Iris.html -->
|
|
<html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
|
<meta content="width=device-width, initial-scale=1.0" name="viewport">
|
|
<title>Decision Tree Iris</title><script src="./Decision Tree Iris_files/require.min.js.download"></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==);
|
|
--jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
|
|
--jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
|
|
--jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
|
|
--jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
|
|
--jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
|
|
--jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
|
|
--jp-icon-clear: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-close: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-code-check: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
|
|
--jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-console: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-copy: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTExLjksMUgzLjJDMi40LDEsMS43LDEuNywxLjcsMi41djEwLjJoMS41VjIuNWg4LjdWMXogTTE0LjEsMy45aC04Yy0wLjgsMC0xLjUsMC43LTEuNSwxLjV2MTAuMmMwLDAuOCwwLjcsMS41LDEuNSwxLjVoOCBjMC44LDAsMS41LTAuNywxLjUtMS41VjUuNEMxNS41LDQuNiwxNC45LDMuOSwxNC4xLDMuOXogTTE0LjEsMTUuNWgtOFY1LjRoOFYxNS41eiIvPgogIDwvZz4KPC9zdmc+Cg==);
|
|
--jp-icon-copyright: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-cut: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-delete: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2cHgiIGhlaWdodD0iMTZweCI+CiAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIiAvPgogICAgPHBhdGggY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjI2MjYyIiBkPSJNNiAxOWMwIDEuMS45IDIgMiAyaDhjMS4xIDAgMi0uOSAyLTJWN0g2djEyek0xOSA0aC0zLjVsLTEtMWgtNWwtMSAxSDV2MmgxNFY0eiIgLz4KPC9zdmc+Cg==);
|
|
--jp-icon-download: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDloLTRWM0g5djZINWw3IDcgNy03ek01IDE4djJoMTR2LTJINXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
|
|
--jp-icon-duplicate: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTQiIGhlaWdodD0iMTQiIHZpZXdCb3g9IjAgMCAxNCAxNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggY2xhc3M9ImpwLWljb24zIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiIGNsaXAtcnVsZT0iZXZlbm9kZCIgZD0iTTIuNzk5OTggMC44NzVIOC44OTU4MkM5LjIwMDYxIDAuODc1IDkuNDQ5OTggMS4xMzkxNCA5LjQ0OTk4IDEuNDYxOThDOS40NDk5OCAxLjc4NDgyIDkuMjAwNjEgMi4wNDg5NiA4Ljg5NTgyIDIuMDQ4OTZIMy4zNTQxNUMzLjA0OTM2IDIuMDQ4OTYgMi43OTk5OCAyLjMxMzEgMi43OTk5OCAyLjYzNTk0VjkuNjc5NjlDMi43OTk5OCAxMC4wMDI1IDIuNTUwNjEgMTAuMjY2NyAyLjI0NTgyIDEwLjI2NjdDMS45NDEwMyAxMC4yNjY3IDEuNjkxNjUgMTAuMDAyNSAxLjY5MTY1IDkuNjc5NjlWMi4wNDg5NkMxLjY5MTY1IDEuNDAzMjggMi4xOTA0IDAuODc1IDIuNzk5OTggMC44NzVaTTUuMzY2NjUgMTEuOVY0LjU1SDExLjA4MzNWMTEuOUg1LjM2NjY1Wk00LjE0MTY1IDQuMTQxNjdDNC4xNDE2NSAzLjY5MDYzIDQuNTA3MjggMy4zMjUgNC45NTgzMiAzLjMyNUgxMS40OTE3QzExLjk0MjcgMy4zMjUgMTIuMzA4MyAzLjY5MDYzIDEyLjMwODMgNC4xNDE2N1YxMi4zMDgzQzEyLjMwODMgMTIuNzU5NCAxMS45NDI3IDEzLjEyNSAxMS40OTE3IDEzLjEyNUg0Ljk1ODMyQzQuNTA3MjggMTMuMTI1IDQuMTQxNjUgMTIuNzU5NCA0LjE0MTY1IDEyLjMwODNWNC4xNDE2N1oiIGZpbGw9IiM2MTYxNjEiLz4KPHBhdGggY2xhc3M9ImpwLWljb24zIiBkPSJNOS40MzU3NCA4LjI2NTA3SDguMzY0MzFWOS4zMzY1QzguMzY0MzEgOS40NTQzNSA4LjI2Nzg4IDkuNTUwNzggOC4xNTAwMiA5LjU1MDc4QzguMDMyMTcgOS41NTA3OCA3LjkzNTc0IDkuNDU0MzUgNy45MzU3NCA5LjMzNjVWOC4yNjUwN0g2Ljg2NDMxQzYuNzQ2NDUgOC4yNjUwNyA2LjY1MDAyIDguMTY4NjQgNi42NTAwMiA4LjA1MDc4QzYuNjUwMDIgNy45MzI5MiA2Ljc0NjQ1IDcuODM2NSA2Ljg2NDMxIDcuODM2NUg3LjkzNTc0VjYuNzY1MDdDNy45MzU3NCA2LjY0NzIxIDguMDMyMTcgNi41NTA3OCA4LjE1MDAyIDYuNTUwNzhDOC4yNjc4OCA2LjU1MDc4IDguMzY0MzEgNi42NDcyMSA4LjM2NDMxIDYuNzY1MDdWNy44MzY1SDkuNDM1NzRDOS41NTM2IDcuODM2NSA5LjY1MDAyIDcuOTMyOTIgOS42NTAwMiA4LjA1MDc4QzkuNjUwMDIgOC4xNjg2NCA5LjU1MzYgOC4yNjUwNyA5LjQzNTc0IDguMjY1MDdaIiBmaWxsPSIjNjE2MTYxIiBzdHJva2U9IiM2MTYxNjEiIHN0cm9rZS13aWR0aD0iMC41Ii8+Cjwvc3ZnPgo=);
|
|
--jp-icon-edit: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMgMTcuMjVWMjFoMy43NUwxNy44MSA5Ljk0bC0zLjc1LTMuNzVMMyAxNy4yNXpNMjAuNzEgNy4wNGMuMzktLjM5LjM5LTEuMDIgMC0xLjQxbC0yLjM0LTIuMzRjLS4zOS0uMzktMS4wMi0uMzktMS40MSAwbC0xLjgzIDEuODMgMy43NSAzLjc1IDEuODMtMS44M3oiLz4KICA8L2c+Cjwvc3ZnPgo=);
|
|
--jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
|
|
--jp-icon-error: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KPGcgY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjE2MTYxIj48Y2lyY2xlIGN4PSIxMiIgY3k9IjE5IiByPSIyIi8+PHBhdGggZD0iTTEwIDNoNHYxMmgtNHoiLz48L2c+CjxwYXRoIGZpbGw9Im5vbmUiIGQ9Ik0wIDBoMjR2MjRIMHoiLz4KPC9zdmc+Cg==);
|
|
--jp-icon-expand-all: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-extension: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
|
|
--jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
|
|
--jp-icon-file: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkuMyA4LjJsLTUuNS01LjVjLS4zLS4zLS43LS41LTEuMi0uNUgzLjljLS44LjEtMS42LjktMS42IDEuOHYxNC4xYzAgLjkuNyAxLjYgMS42IDEuNmgxNC4yYy45IDAgMS42LS43IDEuNi0xLjZWOS40Yy4xLS41LS4xLS45LS40LTEuMnptLTUuOC0zLjNsMy40IDMuNmgtMy40VjQuOXptMy45IDEyLjdINC43Yy0uMSAwLS4yIDAtLjItLjJWNC43YzAtLjIuMS0uMy4yLS4zaDcuMnY0LjRzMCAuOC4zIDEuMWMuMy4zIDEuMS4zIDEuMS4zaDQuM3Y3LjJzLS4xLjItLjIuMnoiLz4KPC9zdmc+Cg==);
|
|
--jp-icon-filter-dot: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);
|
|
--jp-icon-filter: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-folder-favorite: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);
|
|
--jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
|
|
--jp-icon-html5: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-image: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-info: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
|
|
--jp-icon-json: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-julia: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-jupyter: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-jupyterlab-wordmark: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
|
|
--jp-icon-keyboard: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
|
|
--jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
|
|
--jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
|
|
--jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
|
|
--jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
|
|
--jp-icon-markdown: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-move-down: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-move-up: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTQiIGhlaWdodD0iMTQiIHZpZXdCb3g9IjAgMCAxNCAxNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggY2xhc3M9ImpwLWljb24zIiBkPSJNMS41Mjg5OSA2LjQ3MTAxQzEuMjM2ODQgNi43NjMxNiAxLjIzNjg0IDcuMjM2ODQgMS41Mjg5OSA3LjUyODk5VjcuNTI4OTlDMS44MjA5NSA3LjgyMDk1IDIuMjk0MjYgNy44MjExNiAyLjU4NjQ5IDcuNTI5NDZMNi4yNSAzLjg3MjVWMTIuMjVDNi4yNSAxMi42NjQyIDYuNTg1NzkgMTMgNyAxM1YxM0M3LjQxNDIxIDEzIDcuNzUgMTIuNjY0MiA3Ljc1IDEyLjI1VjMuODcyNUwxMS40MDI3IDcuNTMxNzhDMTEuNjk2NiA3LjgyNjE5IDEyLjE3MzYgNy44MjY0MSAxMi40Njc3IDcuNTMyMjZWNy41MzIyNkMxMi43NjE3IDcuMjM4MyAxMi43NjE3IDYuNzYxNyAxMi40Njc3IDYuNDY3NzRMNy43MDcxMSAxLjcwNzExQzcuMzE2NTggMS4zMTY1OCA2LjY4MzQyIDEuMzE2NTggNi4yOTI4OSAxLjcwNzExTDEuNTI4OTkgNi40NzEwMVoiIGZpbGw9IiM2MTYxNjEiLz4KPC9zdmc+Cg==);
|
|
--jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
|
|
--jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
|
|
--jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
|
|
--jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
|
|
--jp-icon-palette: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
|
|
--jp-icon-pdf: url(data:image/svg+xml;base64,PHN2ZwogICB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyMiAyMiIgd2lkdGg9IjE2Ij4KICAgIDxwYXRoIHRyYW5zZm9ybT0icm90YXRlKDQ1KSIgY2xhc3M9ImpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iI0ZGMkEyQSIKICAgICAgIGQ9Im0gMjIuMzQ0MzY5LC0zLjAxNjM2NDIgaCA1LjYzODYwNCB2IDEuNTc5MjQzMyBoIC0zLjU0OTIyNyB2IDEuNTA4NjkyOTkgaCAzLjMzNzU3NiBWIDEuNjUwODE1NCBoIC0zLjMzNzU3NiB2IDMuNDM1MjYxMyBoIC0yLjA4OTM3NyB6IG0gLTcuMTM2NDQ0LDEuNTc5MjQzMyB2IDQuOTQzOTU0MyBoIDAuNzQ4OTIgcSAxLjI4MDc2MSwwIDEuOTUzNzAzLC0wLjYzNDk1MzUgMC42NzgzNjksLTAuNjM0OTUzNSAwLjY3ODM2OSwtMS44NDUxNjQxIDAsLTEuMjA0NzgzNTUgLTAuNjcyOTQyLC0xLjgzNDMxMDExIC0wLjY3Mjk0MiwtMC42Mjk1MjY1OSAtMS45NTkxMywtMC42Mjk1MjY1OSB6IG0gLTIuMDg5Mzc3LC0xLjU3OTI0MzMgaCAyLjIwMzM0MyBxIDEuODQ1MTY0LDAgMi43NDYwMzksMC4yNjU5MjA3IDAuOTA2MzAxLDAuMjYwNDkzNyAxLjU1MjEwOCwwLjg5MDAyMDMgMC41Njk4MywwLjU0ODEyMjMgMC44NDY2MDUsMS4yNjQ0ODAwNiAwLjI3Njc3NCwwLjcxNjM1NzgxIDAuMjc2Nzc0LDEuNjIyNjU4OTQgMCwwLjkxNzE1NTEgLTAuMjc2Nzc0LDEuNjM4OTM5OSAtMC4yNzY3NzUsMC43MTYzNTc4IC0wLjg0NjYwNSwxLjI2NDQ4IC0wLjY1MTIzNCwwLjYyOTUyNjYgLTEuNTYyOTYyLDAuODk1NDQ3MyAtMC45MTE3MjgsMC4yNjA0OTM3IC0yLjczNTE4NSwwLjI2MDQ5MzcgaCAtMi4yMDMzNDMgeiBtIC04LjE0NTg1NjUsMCBoIDMuNDY3ODIzIHEgMS41NDY2ODE2LDAgMi4zNzE1Nzg1LDAuNjg5MjIzIDAuODMwMzI0LDAuNjgzNzk2MSAwLjgzMDMyNCwxLjk1MzcwMzE0IDAsMS4yNzUzMzM5NyAtMC44MzAzMjQsMS45NjQ1NTcwNiBRIDkuOTg3MTk2MSwyLjI3NDkxNSA4LjQ0MDUxNDUsMi4yNzQ5MTUgSCA3LjA2MjA2ODQgViA1LjA4NjA3NjcgSCA0Ljk3MjY5MTUgWiBtIDIuMDg5Mzc2OSwxLjUxNDExOTkgdiAyLjI2MzAzOTQzIGggMS4xNTU5NDEgcSAwLjYwNzgxODgsMCAwLjkzODg2MjksLTAuMjkzMDU1NDcgMC4zMzEwNDQxLC0wLjI5ODQ4MjQxIDAuMzMxMDQ0MSwtMC44NDExNzc3MiAwLC0wLjU0MjY5NTMxIC0wLjMzMTA0NDEsLTAuODM1NzUwNzQgLTAuMzMxMDQ0MSwtMC4yOTMwNTU1IC0wLjkzODg2MjksLTAuMjkzMDU1NSB6IgovPgo8L3N2Zz4K);
|
|
--jp-icon-python: url(data:image/svg+xml;base64,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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);
|
|
--jp-icon-search: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-settings: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-share: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
|
|
--jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
|
|
--jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
|
|
--jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
|
|
--jp-icon-tag: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-terminal: url(data:image/svg+xml;base64,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);
|
|
--jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
|
|
--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
|
|
*
|
|
* Code font variables are used for typography of code and other monospaces content.
|
|
*/
|
|
|
|
--jp-code-font-size: 13px;
|
|
--jp-code-line-height: 1.3077; /* 17px for 13px base */
|
|
--jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
|
|
--jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
|
|
--jp-code-font-family: var(--jp-code-font-family-default);
|
|
|
|
/* This gives a magnification of about 125% in presentation mode over normal. */
|
|
--jp-code-presentation-font-size: 16px;
|
|
|
|
/* may need to tweak cursor width if you change font size */
|
|
--jp-code-cursor-width0: 1.4px;
|
|
--jp-code-cursor-width1: 2px;
|
|
--jp-code-cursor-width2: 4px;
|
|
|
|
/* Layout
|
|
*
|
|
* The following are the main layout colors use in JupyterLab. In a light
|
|
* theme these would go from light to dark.
|
|
*/
|
|
|
|
--jp-layout-color0: white;
|
|
--jp-layout-color1: white;
|
|
--jp-layout-color2: var(--md-grey-200);
|
|
--jp-layout-color3: var(--md-grey-400);
|
|
--jp-layout-color4: var(--md-grey-600);
|
|
|
|
/* Inverse Layout
|
|
*
|
|
* The following are the inverse layout colors use in JupyterLab. In a light
|
|
* theme these would go from dark to light.
|
|
*/
|
|
|
|
--jp-inverse-layout-color0: #111;
|
|
--jp-inverse-layout-color1: var(--md-grey-900);
|
|
--jp-inverse-layout-color2: var(--md-grey-800);
|
|
--jp-inverse-layout-color3: var(--md-grey-700);
|
|
--jp-inverse-layout-color4: var(--md-grey-600);
|
|
|
|
/* Brand/accent */
|
|
|
|
--jp-brand-color0: var(--md-blue-900);
|
|
--jp-brand-color1: var(--md-blue-700);
|
|
--jp-brand-color2: var(--md-blue-300);
|
|
--jp-brand-color3: var(--md-blue-100);
|
|
--jp-brand-color4: var(--md-blue-50);
|
|
--jp-accent-color0: var(--md-green-900);
|
|
--jp-accent-color1: var(--md-green-700);
|
|
--jp-accent-color2: var(--md-green-300);
|
|
--jp-accent-color3: var(--md-green-100);
|
|
|
|
/* State colors (warn, error, success, info) */
|
|
|
|
--jp-warn-color0: var(--md-orange-900);
|
|
--jp-warn-color1: var(--md-orange-700);
|
|
--jp-warn-color2: var(--md-orange-300);
|
|
--jp-warn-color3: var(--md-orange-100);
|
|
--jp-error-color0: var(--md-red-900);
|
|
--jp-error-color1: var(--md-red-700);
|
|
--jp-error-color2: var(--md-red-300);
|
|
--jp-error-color3: var(--md-red-100);
|
|
--jp-success-color0: var(--md-green-900);
|
|
--jp-success-color1: var(--md-green-700);
|
|
--jp-success-color2: var(--md-green-300);
|
|
--jp-success-color3: var(--md-green-100);
|
|
--jp-info-color0: var(--md-cyan-900);
|
|
--jp-info-color1: var(--md-cyan-700);
|
|
--jp-info-color2: var(--md-cyan-300);
|
|
--jp-info-color3: var(--md-cyan-100);
|
|
|
|
/* Cell specific styles */
|
|
|
|
--jp-cell-padding: 5px;
|
|
--jp-cell-collapser-width: 8px;
|
|
--jp-cell-collapser-min-height: 20px;
|
|
--jp-cell-collapser-not-active-hover-opacity: 0.6;
|
|
--jp-cell-editor-background: var(--md-grey-100);
|
|
--jp-cell-editor-border-color: var(--md-grey-300);
|
|
--jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
|
|
--jp-cell-editor-active-background: var(--jp-layout-color0);
|
|
--jp-cell-editor-active-border-color: var(--jp-brand-color1);
|
|
--jp-cell-prompt-width: 64px;
|
|
--jp-cell-prompt-font-family: var(--jp-code-font-family-default);
|
|
--jp-cell-prompt-letter-spacing: 0;
|
|
--jp-cell-prompt-opacity: 1;
|
|
--jp-cell-prompt-not-active-opacity: 0.5;
|
|
--jp-cell-prompt-not-active-font-color: var(--md-grey-700);
|
|
|
|
/* A custom blend of MD grey and blue 600
|
|
* See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
|
|
--jp-cell-inprompt-font-color: #307fc1;
|
|
|
|
/* A custom blend of MD grey and orange 600
|
|
* https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
|
|
--jp-cell-outprompt-font-color: #bf5b3d;
|
|
|
|
/* Notebook specific styles */
|
|
|
|
--jp-notebook-padding: 10px;
|
|
--jp-notebook-select-background: var(--jp-layout-color1);
|
|
--jp-notebook-multiselected-color: var(--md-blue-50);
|
|
|
|
/* The scroll padding is calculated to fill enough space at the bottom of the
|
|
notebook to show one single-line cell (with appropriate padding) at the top
|
|
when the notebook is scrolled all the way to the bottom. We also subtract one
|
|
pixel so that no scrollbar appears if we have just one single-line cell in the
|
|
notebook. This padding is to enable a 'scroll past end' feature in a notebook.
|
|
*/
|
|
--jp-notebook-scroll-padding: calc(
|
|
100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
|
|
var(--jp-code-padding) - var(--jp-cell-padding) - 1px
|
|
);
|
|
|
|
/* Rendermime styles */
|
|
|
|
--jp-rendermime-error-background: #fdd;
|
|
--jp-rendermime-table-row-background: var(--md-grey-100);
|
|
--jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
|
|
|
|
/* Dialog specific styles */
|
|
|
|
--jp-dialog-background: rgba(0, 0, 0, 0.25);
|
|
|
|
/* Console specific styles */
|
|
|
|
--jp-console-padding: 10px;
|
|
|
|
/* Toolbar specific styles */
|
|
|
|
--jp-toolbar-border-color: var(--jp-border-color1);
|
|
--jp-toolbar-micro-height: 8px;
|
|
--jp-toolbar-background: var(--jp-layout-color1);
|
|
--jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
|
|
--jp-toolbar-header-margin: 4px 4px 0 4px;
|
|
--jp-toolbar-active-background: var(--md-grey-300);
|
|
|
|
/* Statusbar specific styles */
|
|
|
|
--jp-statusbar-height: 24px;
|
|
|
|
/* Input field styles */
|
|
|
|
--jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
|
|
--jp-input-active-background: var(--jp-layout-color1);
|
|
--jp-input-hover-background: var(--jp-layout-color1);
|
|
--jp-input-background: var(--md-grey-100);
|
|
--jp-input-border-color: var(--jp-inverse-border-color);
|
|
--jp-input-active-border-color: var(--jp-brand-color1);
|
|
--jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
|
|
|
|
/* General editor styles */
|
|
|
|
--jp-editor-selected-background: #d9d9d9;
|
|
--jp-editor-selected-focused-background: #d7d4f0;
|
|
--jp-editor-cursor-color: var(--jp-ui-font-color0);
|
|
|
|
/* Code mirror specific styles */
|
|
|
|
--jp-mirror-editor-keyword-color: #008000;
|
|
--jp-mirror-editor-atom-color: #88f;
|
|
--jp-mirror-editor-number-color: #080;
|
|
--jp-mirror-editor-def-color: #00f;
|
|
--jp-mirror-editor-variable-color: var(--md-grey-900);
|
|
--jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
|
|
--jp-mirror-editor-variable-3-color: #085;
|
|
--jp-mirror-editor-punctuation-color: #05a;
|
|
--jp-mirror-editor-property-color: #05a;
|
|
--jp-mirror-editor-operator-color: #a2f;
|
|
--jp-mirror-editor-comment-color: #408080;
|
|
--jp-mirror-editor-string-color: #ba2121;
|
|
--jp-mirror-editor-string-2-color: #708;
|
|
--jp-mirror-editor-meta-color: #a2f;
|
|
--jp-mirror-editor-qualifier-color: #555;
|
|
--jp-mirror-editor-builtin-color: #008000;
|
|
--jp-mirror-editor-bracket-color: #997;
|
|
--jp-mirror-editor-tag-color: #170;
|
|
--jp-mirror-editor-attribute-color: #00c;
|
|
--jp-mirror-editor-header-color: blue;
|
|
--jp-mirror-editor-quote-color: #090;
|
|
--jp-mirror-editor-link-color: #00c;
|
|
--jp-mirror-editor-error-color: #f00;
|
|
--jp-mirror-editor-hr-color: #999;
|
|
|
|
/*
|
|
RTC user specific colors.
|
|
These colors are used for the cursor, username in the editor,
|
|
and the icon of the user.
|
|
*/
|
|
|
|
--jp-collaborator-color1: #ffad8e;
|
|
--jp-collaborator-color2: #dac83d;
|
|
--jp-collaborator-color3: #72dd76;
|
|
--jp-collaborator-color4: #00e4d0;
|
|
--jp-collaborator-color5: #45d4ff;
|
|
--jp-collaborator-color6: #e2b1ff;
|
|
--jp-collaborator-color7: #ff9de6;
|
|
|
|
/* Vega extension styles */
|
|
|
|
--jp-vega-background: white;
|
|
|
|
/* Sidebar-related styles */
|
|
|
|
--jp-sidebar-min-width: 250px;
|
|
|
|
/* Search-related styles */
|
|
|
|
--jp-search-toggle-off-opacity: 0.5;
|
|
--jp-search-toggle-hover-opacity: 0.8;
|
|
--jp-search-toggle-on-opacity: 1;
|
|
--jp-search-selected-match-background-color: rgb(245, 200, 0);
|
|
--jp-search-selected-match-color: black;
|
|
--jp-search-unselected-match-background-color: var(
|
|
--jp-inverse-layout-color0
|
|
);
|
|
--jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
|
|
|
|
/* Icon colors that work well with light or dark backgrounds */
|
|
--jp-icon-contrast-color0: var(--md-purple-600);
|
|
--jp-icon-contrast-color1: var(--md-green-600);
|
|
--jp-icon-contrast-color2: var(--md-pink-600);
|
|
--jp-icon-contrast-color3: var(--md-blue-600);
|
|
|
|
/* Button colors */
|
|
--jp-accept-color-normal: var(--md-blue-700);
|
|
--jp-accept-color-hover: var(--md-blue-800);
|
|
--jp-accept-color-active: var(--md-blue-900);
|
|
--jp-warn-color-normal: var(--md-red-700);
|
|
--jp-warn-color-hover: var(--md-red-800);
|
|
--jp-warn-color-active: var(--md-red-900);
|
|
--jp-reject-color-normal: var(--md-grey-600);
|
|
--jp-reject-color-hover: var(--md-grey-700);
|
|
--jp-reject-color-active: var(--md-grey-800);
|
|
|
|
/* File or activity icons and switch semantic variables */
|
|
--jp-jupyter-icon-color: #f37626;
|
|
--jp-notebook-icon-color: #f37626;
|
|
--jp-json-icon-color: var(--md-orange-700);
|
|
--jp-console-icon-background-color: var(--md-blue-700);
|
|
--jp-console-icon-color: white;
|
|
--jp-terminal-icon-background-color: var(--md-grey-800);
|
|
--jp-terminal-icon-color: var(--md-grey-200);
|
|
--jp-text-editor-icon-color: var(--md-grey-700);
|
|
--jp-inspector-icon-color: var(--md-grey-700);
|
|
--jp-switch-color: var(--md-grey-400);
|
|
--jp-switch-true-position-color: var(--md-orange-900);
|
|
}
|
|
</style>
|
|
<style type="text/css">
|
|
/* Force rendering true colors when outputing to pdf */
|
|
* {
|
|
-webkit-print-color-adjust: exact;
|
|
}
|
|
|
|
/* Misc */
|
|
a.anchor-link {
|
|
display: none;
|
|
}
|
|
|
|
/* Input area styling */
|
|
.jp-InputArea {
|
|
overflow: hidden;
|
|
}
|
|
|
|
.jp-InputArea-editor {
|
|
overflow: hidden;
|
|
}
|
|
|
|
.cm-editor.cm-s-jupyter .highlight pre {
|
|
/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
|
|
padding: var(--jp-code-padding) 4px;
|
|
margin: 0;
|
|
|
|
font-family: inherit;
|
|
font-size: inherit;
|
|
line-height: inherit;
|
|
color: inherit;
|
|
|
|
}
|
|
|
|
.jp-OutputArea-output pre {
|
|
line-height: inherit;
|
|
font-family: inherit;
|
|
}
|
|
|
|
.jp-RenderedText pre {
|
|
color: var(--jp-content-font-color1);
|
|
font-size: var(--jp-code-font-size);
|
|
}
|
|
|
|
/* Hiding the collapser by default */
|
|
.jp-Collapser {
|
|
display: none;
|
|
}
|
|
|
|
@page {
|
|
margin: 0.5in; /* Margin for each printed piece of paper */
|
|
}
|
|
|
|
@media print {
|
|
.jp-Cell-inputWrapper,
|
|
.jp-Cell-outputWrapper {
|
|
display: block;
|
|
}
|
|
}
|
|
</style>
|
|
<!-- Load mathjax -->
|
|
<script type="text/javascript" async="" src="./Decision Tree Iris_files/MathJax.js.download"></script>
|
|
<!-- MathJax configuration -->
|
|
<script type="text/x-mathjax-config;executed=true">
|
|
init_mathjax = function() {
|
|
if (window.MathJax) {
|
|
// MathJax loaded
|
|
MathJax.Hub.Config({
|
|
TeX: {
|
|
equationNumbers: {
|
|
autoNumber: "AMS",
|
|
useLabelIds: true
|
|
}
|
|
},
|
|
tex2jax: {
|
|
inlineMath: [ ['$','$'], ["\\(","\\)"] ],
|
|
displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
|
|
processEscapes: true,
|
|
processEnvironments: true
|
|
},
|
|
displayAlign: 'center',
|
|
CommonHTML: {
|
|
linebreaks: {
|
|
automatic: true
|
|
}
|
|
}
|
|
});
|
|
|
|
MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
|
|
}
|
|
}
|
|
init_mathjax();
|
|
</script>
|
|
<!-- End of mathjax configuration --><script type="module">
|
|
document.addEventListener("DOMContentLoaded", async () => {
|
|
const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
|
|
// do not load mermaidjs if not needed
|
|
if (!diagrams.length) {
|
|
return;
|
|
}
|
|
const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
|
|
const parser = new DOMParser();
|
|
|
|
mermaid.initialize({
|
|
maxTextSize: 100000,
|
|
startOnLoad: false,
|
|
fontFamily: window
|
|
.getComputedStyle(document.body)
|
|
.getPropertyValue("--jp-ui-font-family"),
|
|
theme: document.querySelector("body[data-jp-theme-light='true']")
|
|
? "default"
|
|
: "dark",
|
|
});
|
|
|
|
let _nextMermaidId = 0;
|
|
|
|
function makeMermaidImage(svg) {
|
|
const img = document.createElement("img");
|
|
const doc = parser.parseFromString(svg, "image/svg+xml");
|
|
const svgEl = doc.querySelector("svg");
|
|
const { maxWidth } = svgEl?.style || {};
|
|
const firstTitle = doc.querySelector("title");
|
|
const firstDesc = doc.querySelector("desc");
|
|
|
|
img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
|
|
if (maxWidth) {
|
|
img.width = parseInt(maxWidth);
|
|
}
|
|
if (firstTitle) {
|
|
img.setAttribute("alt", firstTitle.textContent);
|
|
}
|
|
if (firstDesc) {
|
|
const caption = document.createElement("figcaption");
|
|
caption.className = "sr-only";
|
|
caption.textContent = firstDesc.textContent;
|
|
return [img, caption];
|
|
}
|
|
return [img];
|
|
}
|
|
|
|
async function makeMermaidError(text) {
|
|
let errorMessage = "";
|
|
try {
|
|
await mermaid.parse(text);
|
|
} catch (err) {
|
|
errorMessage = `${err}`;
|
|
}
|
|
|
|
const result = document.createElement("details");
|
|
result.className = 'jp-RenderedMermaid-Details';
|
|
const summary = document.createElement("summary");
|
|
summary.className = 'jp-RenderedMermaid-Summary';
|
|
const pre = document.createElement("pre");
|
|
const code = document.createElement("code");
|
|
code.innerText = text;
|
|
pre.appendChild(code);
|
|
summary.appendChild(pre);
|
|
result.appendChild(summary);
|
|
|
|
const warning = document.createElement("pre");
|
|
warning.innerText = errorMessage;
|
|
result.appendChild(warning);
|
|
return [result];
|
|
}
|
|
|
|
async function renderOneMarmaid(src) {
|
|
const id = `jp-mermaid-${_nextMermaidId++}`;
|
|
const parent = src.parentNode;
|
|
let raw = src.textContent.trim();
|
|
const el = document.createElement("div");
|
|
el.style.visibility = "hidden";
|
|
document.body.appendChild(el);
|
|
let results = null;
|
|
let output = null;
|
|
try {
|
|
const { svg } = await mermaid.render(id, raw, el);
|
|
results = makeMermaidImage(svg);
|
|
output = document.createElement("figure");
|
|
results.map(output.appendChild, output);
|
|
} catch (err) {
|
|
parent.classList.add("jp-mod-warning");
|
|
results = await makeMermaidError(raw);
|
|
output = results[0];
|
|
} finally {
|
|
el.remove();
|
|
}
|
|
parent.classList.add("jp-RenderedMermaid");
|
|
parent.appendChild(output);
|
|
}
|
|
|
|
void Promise.all([...diagrams].map(renderOneMarmaid));
|
|
});
|
|
</script>
|
|
<style>
|
|
.jp-Mermaid:not(.jp-RenderedMermaid) {
|
|
display: none;
|
|
}
|
|
|
|
.jp-RenderedMermaid {
|
|
overflow: auto;
|
|
display: flex;
|
|
}
|
|
|
|
.jp-RenderedMermaid.jp-mod-warning {
|
|
width: auto;
|
|
padding: 0.5em;
|
|
margin-top: 0.5em;
|
|
border: var(--jp-border-width) solid var(--jp-warn-color2);
|
|
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;
|
|
}
|
|
|
|
.jp-RenderedMermaid figure {
|
|
margin: 0;
|
|
overflow: auto;
|
|
max-width: 100%;
|
|
}
|
|
|
|
.jp-RenderedMermaid img {
|
|
max-width: 100%;
|
|
}
|
|
|
|
.jp-RenderedMermaid-Details > pre {
|
|
margin-top: 1em;
|
|
}
|
|
|
|
.jp-RenderedMermaid-Summary {
|
|
color: var(--jp-warn-color2);
|
|
}
|
|
|
|
.jp-RenderedMermaid:not(.jp-mod-warning) pre {
|
|
display: none;
|
|
}
|
|
|
|
.jp-RenderedMermaid-Summary > pre {
|
|
display: inline-block;
|
|
white-space: normal;
|
|
}
|
|
</style>
|
|
<!-- End of mermaid configuration --><style type="text/css">.MathJax_Hover_Frame {border-radius: .25em; -webkit-border-radius: .25em; -moz-border-radius: .25em; -khtml-border-radius: .25em; box-shadow: 0px 0px 15px #83A; -webkit-box-shadow: 0px 0px 15px #83A; -moz-box-shadow: 0px 0px 15px #83A; -khtml-box-shadow: 0px 0px 15px #83A; border: 1px solid #A6D ! important; display: inline-block; position: absolute}
|
|
.MathJax_Menu_Button .MathJax_Hover_Arrow {position: absolute; cursor: pointer; display: inline-block; border: 2px solid #AAA; border-radius: 4px; -webkit-border-radius: 4px; -moz-border-radius: 4px; -khtml-border-radius: 4px; font-family: 'Courier New',Courier; font-size: 9px; color: #F0F0F0}
|
|
.MathJax_Menu_Button .MathJax_Hover_Arrow span {display: block; background-color: #AAA; border: 1px solid; border-radius: 3px; line-height: 0; padding: 4px}
|
|
.MathJax_Hover_Arrow:hover {color: white!important; border: 2px solid #CCC!important}
|
|
.MathJax_Hover_Arrow:hover span {background-color: #CCC!important}
|
|
</style><style type="text/css">#MathJax_About {position: fixed; left: 50%; width: auto; text-align: center; border: 3px outset; padding: 1em 2em; background-color: #DDDDDD; color: black; cursor: default; font-family: message-box; font-size: 120%; font-style: normal; text-indent: 0; text-transform: none; line-height: normal; letter-spacing: normal; word-spacing: normal; word-wrap: normal; white-space: nowrap; float: none; z-index: 201; border-radius: 15px; -webkit-border-radius: 15px; -moz-border-radius: 15px; -khtml-border-radius: 15px; box-shadow: 0px 10px 20px #808080; -webkit-box-shadow: 0px 10px 20px #808080; -moz-box-shadow: 0px 10px 20px #808080; -khtml-box-shadow: 0px 10px 20px #808080; filter: progid:DXImageTransform.Microsoft.dropshadow(OffX=2, OffY=2, Color='gray', Positive='true')}
|
|
#MathJax_About.MathJax_MousePost {outline: none}
|
|
.MathJax_Menu {position: absolute; background-color: white; color: black; width: auto; padding: 2px; border: 1px solid #CCCCCC; margin: 0; cursor: default; font: menu; text-align: left; text-indent: 0; text-transform: none; line-height: normal; letter-spacing: normal; word-spacing: normal; word-wrap: normal; white-space: nowrap; float: none; z-index: 201; box-shadow: 0px 10px 20px #808080; -webkit-box-shadow: 0px 10px 20px #808080; -moz-box-shadow: 0px 10px 20px #808080; -khtml-box-shadow: 0px 10px 20px #808080; filter: progid:DXImageTransform.Microsoft.dropshadow(OffX=2, OffY=2, Color='gray', Positive='true')}
|
|
.MathJax_MenuItem {padding: 2px 2em; background: transparent}
|
|
.MathJax_MenuArrow {position: absolute; right: .5em; padding-top: .25em; color: #666666; font-size: .75em}
|
|
.MathJax_MenuActive .MathJax_MenuArrow {color: white}
|
|
.MathJax_MenuArrow.RTL {left: .5em; right: auto}
|
|
.MathJax_MenuCheck {position: absolute; left: .7em}
|
|
.MathJax_MenuCheck.RTL {right: .7em; left: auto}
|
|
.MathJax_MenuRadioCheck {position: absolute; left: 1em}
|
|
.MathJax_MenuRadioCheck.RTL {right: 1em; left: auto}
|
|
.MathJax_MenuLabel {padding: 2px 2em 4px 1.33em; font-style: italic}
|
|
.MathJax_MenuRule {border-top: 1px solid #CCCCCC; margin: 4px 1px 0px}
|
|
.MathJax_MenuDisabled {color: GrayText}
|
|
.MathJax_MenuActive {background-color: Highlight; color: HighlightText}
|
|
.MathJax_MenuDisabled:focus, .MathJax_MenuLabel:focus {background-color: #E8E8E8}
|
|
.MathJax_ContextMenu:focus {outline: none}
|
|
.MathJax_ContextMenu .MathJax_MenuItem:focus {outline: none}
|
|
#MathJax_AboutClose {top: .2em; right: .2em}
|
|
.MathJax_Menu .MathJax_MenuClose {top: -10px; left: -10px}
|
|
.MathJax_MenuClose {position: absolute; cursor: pointer; display: inline-block; border: 2px solid #AAA; border-radius: 18px; -webkit-border-radius: 18px; -moz-border-radius: 18px; -khtml-border-radius: 18px; font-family: 'Courier New',Courier; font-size: 24px; color: #F0F0F0}
|
|
.MathJax_MenuClose span {display: block; background-color: #AAA; border: 1.5px solid; border-radius: 18px; -webkit-border-radius: 18px; -moz-border-radius: 18px; -khtml-border-radius: 18px; line-height: 0; padding: 8px 0 6px}
|
|
.MathJax_MenuClose:hover {color: white!important; border: 2px solid #CCC!important}
|
|
.MathJax_MenuClose:hover span {background-color: #CCC!important}
|
|
.MathJax_MenuClose:hover:focus {outline: none}
|
|
</style><style type="text/css">.MathJax_Preview .MJXf-math {color: inherit!important}
|
|
</style><style type="text/css">.MJX_Assistive_MathML {position: absolute!important; top: 0; left: 0; clip: rect(1px, 1px, 1px, 1px); padding: 1px 0 0 0!important; border: 0!important; height: 1px!important; width: 1px!important; overflow: hidden!important; display: block!important; -webkit-touch-callout: none; -webkit-user-select: none; -khtml-user-select: none; -moz-user-select: none; -ms-user-select: none; user-select: none}
|
|
.MJX_Assistive_MathML.MJX_Assistive_MathML_Block {width: 100%!important}
|
|
</style><style type="text/css">#MathJax_Zoom {position: absolute; background-color: #F0F0F0; overflow: auto; display: block; z-index: 301; padding: .5em; border: 1px solid black; margin: 0; font-weight: normal; font-style: normal; text-align: left; text-indent: 0; text-transform: none; line-height: normal; letter-spacing: normal; word-spacing: normal; word-wrap: normal; white-space: nowrap; float: none; -webkit-box-sizing: content-box; -moz-box-sizing: content-box; box-sizing: content-box; box-shadow: 5px 5px 15px #AAAAAA; -webkit-box-shadow: 5px 5px 15px #AAAAAA; -moz-box-shadow: 5px 5px 15px #AAAAAA; -khtml-box-shadow: 5px 5px 15px #AAAAAA; filter: progid:DXImageTransform.Microsoft.dropshadow(OffX=2, OffY=2, Color='gray', Positive='true')}
|
|
#MathJax_ZoomOverlay {position: absolute; left: 0; top: 0; z-index: 300; display: inline-block; width: 100%; height: 100%; border: 0; padding: 0; margin: 0; background-color: white; opacity: 0; filter: alpha(opacity=0)}
|
|
#MathJax_ZoomFrame {position: relative; display: inline-block; height: 0; width: 0}
|
|
#MathJax_ZoomEventTrap {position: absolute; left: 0; top: 0; z-index: 302; display: inline-block; border: 0; padding: 0; margin: 0; background-color: white; opacity: 0; filter: alpha(opacity=0)}
|
|
</style><style type="text/css">.MathJax_Preview {color: #888}
|
|
#MathJax_Message {position: fixed; left: 1em; bottom: 1.5em; background-color: #E6E6E6; border: 1px solid #959595; margin: 0px; padding: 2px 8px; z-index: 102; color: black; font-size: 80%; width: auto; white-space: nowrap}
|
|
#MathJax_MSIE_Frame {position: absolute; top: 0; left: 0; width: 0px; z-index: 101; border: 0px; margin: 0px; padding: 0px}
|
|
.MathJax_Error {color: #CC0000; font-style: italic}
|
|
</style><style type="text/css">.MJXp-script {font-size: .8em}
|
|
.MJXp-right {-webkit-transform-origin: right; -moz-transform-origin: right; -ms-transform-origin: right; -o-transform-origin: right; transform-origin: right}
|
|
.MJXp-bold {font-weight: bold}
|
|
.MJXp-italic {font-style: italic}
|
|
.MJXp-scr {font-family: MathJax_Script,'Times New Roman',Times,STIXGeneral,serif}
|
|
.MJXp-frak {font-family: MathJax_Fraktur,'Times New Roman',Times,STIXGeneral,serif}
|
|
.MJXp-sf {font-family: MathJax_SansSerif,'Times New Roman',Times,STIXGeneral,serif}
|
|
.MJXp-cal {font-family: MathJax_Caligraphic,'Times New Roman',Times,STIXGeneral,serif}
|
|
.MJXp-mono {font-family: MathJax_Typewriter,'Times New Roman',Times,STIXGeneral,serif}
|
|
.MJXp-largeop {font-size: 150%}
|
|
.MJXp-largeop.MJXp-int {vertical-align: -.2em}
|
|
.MJXp-math {display: inline-block; line-height: 1.2; text-indent: 0; font-family: 'Times New Roman',Times,STIXGeneral,serif; white-space: nowrap; border-collapse: collapse}
|
|
.MJXp-display {display: block; text-align: center; margin: 1em 0}
|
|
.MJXp-math span {display: inline-block}
|
|
.MJXp-box {display: block!important; text-align: center}
|
|
.MJXp-box:after {content: " "}
|
|
.MJXp-rule {display: block!important; margin-top: .1em}
|
|
.MJXp-char {display: block!important}
|
|
.MJXp-mo {margin: 0 .15em}
|
|
.MJXp-mfrac {margin: 0 .125em; vertical-align: .25em}
|
|
.MJXp-denom {display: inline-table!important; width: 100%}
|
|
.MJXp-denom > * {display: table-row!important}
|
|
.MJXp-surd {vertical-align: top}
|
|
.MJXp-surd > * {display: block!important}
|
|
.MJXp-script-box > * {display: table!important; height: 50%}
|
|
.MJXp-script-box > * > * {display: table-cell!important; vertical-align: top}
|
|
.MJXp-script-box > *:last-child > * {vertical-align: bottom}
|
|
.MJXp-script-box > * > * > * {display: block!important}
|
|
.MJXp-mphantom {visibility: hidden}
|
|
.MJXp-munderover, .MJXp-munder {display: inline-table!important}
|
|
.MJXp-over {display: inline-block!important; text-align: center}
|
|
.MJXp-over > * {display: block!important}
|
|
.MJXp-munderover > *, .MJXp-munder > * {display: table-row!important}
|
|
.MJXp-mtable {vertical-align: .25em; margin: 0 .125em}
|
|
.MJXp-mtable > * {display: inline-table!important; vertical-align: middle}
|
|
.MJXp-mtr {display: table-row!important}
|
|
.MJXp-mtd {display: table-cell!important; text-align: center; padding: .5em 0 0 .5em}
|
|
.MJXp-mtr > .MJXp-mtd:first-child {padding-left: 0}
|
|
.MJXp-mtr:first-child > .MJXp-mtd {padding-top: 0}
|
|
.MJXp-mlabeledtr {display: table-row!important}
|
|
.MJXp-mlabeledtr > .MJXp-mtd:first-child {padding-left: 0}
|
|
.MJXp-mlabeledtr:first-child > .MJXp-mtd {padding-top: 0}
|
|
.MJXp-merror {background-color: #FFFF88; color: #CC0000; border: 1px solid #CC0000; padding: 1px 3px; font-style: normal; font-size: 90%}
|
|
.MJXp-scale0 {-webkit-transform: scaleX(.0); -moz-transform: scaleX(.0); -ms-transform: scaleX(.0); -o-transform: scaleX(.0); transform: scaleX(.0)}
|
|
.MJXp-scale1 {-webkit-transform: scaleX(.1); -moz-transform: scaleX(.1); -ms-transform: scaleX(.1); -o-transform: scaleX(.1); transform: scaleX(.1)}
|
|
.MJXp-scale2 {-webkit-transform: scaleX(.2); -moz-transform: scaleX(.2); -ms-transform: scaleX(.2); -o-transform: scaleX(.2); transform: scaleX(.2)}
|
|
.MJXp-scale3 {-webkit-transform: scaleX(.3); -moz-transform: scaleX(.3); -ms-transform: scaleX(.3); -o-transform: scaleX(.3); transform: scaleX(.3)}
|
|
.MJXp-scale4 {-webkit-transform: scaleX(.4); -moz-transform: scaleX(.4); -ms-transform: scaleX(.4); -o-transform: scaleX(.4); transform: scaleX(.4)}
|
|
.MJXp-scale5 {-webkit-transform: scaleX(.5); -moz-transform: scaleX(.5); -ms-transform: scaleX(.5); -o-transform: scaleX(.5); transform: scaleX(.5)}
|
|
.MJXp-scale6 {-webkit-transform: scaleX(.6); -moz-transform: scaleX(.6); -ms-transform: scaleX(.6); -o-transform: scaleX(.6); transform: scaleX(.6)}
|
|
.MJXp-scale7 {-webkit-transform: scaleX(.7); -moz-transform: scaleX(.7); -ms-transform: scaleX(.7); -o-transform: scaleX(.7); transform: scaleX(.7)}
|
|
.MJXp-scale8 {-webkit-transform: scaleX(.8); -moz-transform: scaleX(.8); -ms-transform: scaleX(.8); -o-transform: scaleX(.8); transform: scaleX(.8)}
|
|
.MJXp-scale9 {-webkit-transform: scaleX(.9); -moz-transform: scaleX(.9); -ms-transform: scaleX(.9); -o-transform: scaleX(.9); transform: scaleX(.9)}
|
|
.MathJax_PHTML .noError {vertical-align: ; font-size: 90%; text-align: left; color: black; padding: 1px 3px; border: 1px solid}
|
|
</style><style type="text/css">.mjx-chtml {display: inline-block; line-height: 0; text-indent: 0; text-align: left; text-transform: none; font-style: normal; font-weight: normal; font-size: 100%; font-size-adjust: none; letter-spacing: normal; word-wrap: normal; word-spacing: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0; min-height: 0; border: 0; margin: 0; padding: 1px 0}
|
|
.MJXc-display {display: block; text-align: center; margin: 1em 0; padding: 0}
|
|
.mjx-chtml[tabindex]:focus, body :focus .mjx-chtml[tabindex] {display: inline-table}
|
|
.mjx-full-width {text-align: center; display: table-cell!important; width: 10000em}
|
|
.mjx-math {display: inline-block; border-collapse: separate; border-spacing: 0}
|
|
.mjx-math * {display: inline-block; -webkit-box-sizing: content-box!important; -moz-box-sizing: content-box!important; box-sizing: content-box!important; text-align: left}
|
|
.mjx-numerator {display: block; text-align: center}
|
|
.mjx-denominator {display: block; text-align: center}
|
|
.MJXc-stacked {height: 0; position: relative}
|
|
.MJXc-stacked > * {position: absolute}
|
|
.MJXc-bevelled > * {display: inline-block}
|
|
.mjx-stack {display: inline-block}
|
|
.mjx-op {display: block}
|
|
.mjx-under {display: table-cell}
|
|
.mjx-over {display: block}
|
|
.mjx-over > * {padding-left: 0px!important; padding-right: 0px!important}
|
|
.mjx-under > * {padding-left: 0px!important; padding-right: 0px!important}
|
|
.mjx-stack > .mjx-sup {display: block}
|
|
.mjx-stack > .mjx-sub {display: block}
|
|
.mjx-prestack > .mjx-presup {display: block}
|
|
.mjx-prestack > .mjx-presub {display: block}
|
|
.mjx-delim-h > .mjx-char {display: inline-block}
|
|
.mjx-surd {vertical-align: top}
|
|
.mjx-mphantom * {visibility: hidden}
|
|
.mjx-merror {background-color: #FFFF88; color: #CC0000; border: 1px solid #CC0000; padding: 2px 3px; font-style: normal; font-size: 90%}
|
|
.mjx-annotation-xml {line-height: normal}
|
|
.mjx-menclose > svg {fill: none; stroke: currentColor}
|
|
.mjx-mtr {display: table-row}
|
|
.mjx-mlabeledtr {display: table-row}
|
|
.mjx-mtd {display: table-cell; text-align: center}
|
|
.mjx-label {display: table-row}
|
|
.mjx-box {display: inline-block}
|
|
.mjx-block {display: block}
|
|
.mjx-span {display: inline}
|
|
.mjx-char {display: block; white-space: pre}
|
|
.mjx-itable {display: inline-table; width: auto}
|
|
.mjx-row {display: table-row}
|
|
.mjx-cell {display: table-cell}
|
|
.mjx-table {display: table; width: 100%}
|
|
.mjx-line {display: block; height: 0}
|
|
.mjx-strut {width: 0; padding-top: 1em}
|
|
.mjx-vsize {width: 0}
|
|
.MJXc-space1 {margin-left: .167em}
|
|
.MJXc-space2 {margin-left: .222em}
|
|
.MJXc-space3 {margin-left: .278em}
|
|
.mjx-chartest {display: block; visibility: hidden; position: absolute; top: 0; line-height: normal; font-size: 500%}
|
|
.mjx-chartest .mjx-char {display: inline}
|
|
.mjx-chartest .mjx-box {padding-top: 1000px}
|
|
.MJXc-processing {visibility: hidden; position: fixed; width: 0; height: 0; overflow: hidden}
|
|
.MJXc-processed {display: none}
|
|
.mjx-test {font-style: normal; font-weight: normal; font-size: 100%; font-size-adjust: none; text-indent: 0; text-transform: none; letter-spacing: normal; word-spacing: normal; overflow: hidden; height: 1px}
|
|
.mjx-test.mjx-test-display {display: table!important}
|
|
.mjx-test.mjx-test-inline {display: inline!important; margin-right: -1px}
|
|
.mjx-test.mjx-test-default {display: block!important; clear: both}
|
|
.mjx-ex-box {display: inline-block!important; position: absolute; overflow: hidden; min-height: 0; max-height: none; padding: 0; border: 0; margin: 0; width: 1px; height: 60ex}
|
|
.mjx-test-inline .mjx-left-box {display: inline-block; width: 0; float: left}
|
|
.mjx-test-inline .mjx-right-box {display: inline-block; width: 0; float: right}
|
|
.mjx-test-display .mjx-right-box {display: table-cell!important; width: 10000em!important; min-width: 0; max-width: none; padding: 0; border: 0; margin: 0}
|
|
#MathJax_CHTML_Tooltip {background-color: InfoBackground; color: InfoText; border: 1px solid black; box-shadow: 2px 2px 5px #AAAAAA; -webkit-box-shadow: 2px 2px 5px #AAAAAA; -moz-box-shadow: 2px 2px 5px #AAAAAA; -khtml-box-shadow: 2px 2px 5px #AAAAAA; padding: 3px 4px; z-index: 401; position: absolute; left: 0; top: 0; width: auto; height: auto; display: none}
|
|
.mjx-chtml .mjx-noError {line-height: 1.2; vertical-align: ; font-size: 90%; text-align: left; color: black; padding: 1px 3px; border: 1px solid}
|
|
.MJXc-TeX-unknown-R {font-family: STIXGeneral,'Cambria Math','Arial Unicode MS',serif; font-style: normal; font-weight: normal}
|
|
.MJXc-TeX-unknown-I {font-family: STIXGeneral,'Cambria Math','Arial Unicode MS',serif; font-style: italic; font-weight: normal}
|
|
.MJXc-TeX-unknown-B {font-family: STIXGeneral,'Cambria Math','Arial Unicode MS',serif; font-style: normal; font-weight: bold}
|
|
.MJXc-TeX-unknown-BI {font-family: STIXGeneral,'Cambria Math','Arial Unicode MS',serif; font-style: italic; font-weight: bold}
|
|
.MJXc-TeX-ams-R {font-family: MJXc-TeX-ams-R,MJXc-TeX-ams-Rw}
|
|
.MJXc-TeX-cal-B {font-family: MJXc-TeX-cal-B,MJXc-TeX-cal-Bx,MJXc-TeX-cal-Bw}
|
|
.MJXc-TeX-frak-R {font-family: MJXc-TeX-frak-R,MJXc-TeX-frak-Rw}
|
|
.MJXc-TeX-frak-B {font-family: MJXc-TeX-frak-B,MJXc-TeX-frak-Bx,MJXc-TeX-frak-Bw}
|
|
.MJXc-TeX-math-BI {font-family: MJXc-TeX-math-BI,MJXc-TeX-math-BIx,MJXc-TeX-math-BIw}
|
|
.MJXc-TeX-sans-R {font-family: MJXc-TeX-sans-R,MJXc-TeX-sans-Rw}
|
|
.MJXc-TeX-sans-B {font-family: MJXc-TeX-sans-B,MJXc-TeX-sans-Bx,MJXc-TeX-sans-Bw}
|
|
.MJXc-TeX-sans-I {font-family: MJXc-TeX-sans-I,MJXc-TeX-sans-Ix,MJXc-TeX-sans-Iw}
|
|
.MJXc-TeX-script-R {font-family: MJXc-TeX-script-R,MJXc-TeX-script-Rw}
|
|
.MJXc-TeX-type-R {font-family: MJXc-TeX-type-R,MJXc-TeX-type-Rw}
|
|
.MJXc-TeX-cal-R {font-family: MJXc-TeX-cal-R,MJXc-TeX-cal-Rw}
|
|
.MJXc-TeX-main-B {font-family: MJXc-TeX-main-B,MJXc-TeX-main-Bx,MJXc-TeX-main-Bw}
|
|
.MJXc-TeX-main-I {font-family: MJXc-TeX-main-I,MJXc-TeX-main-Ix,MJXc-TeX-main-Iw}
|
|
.MJXc-TeX-main-R {font-family: MJXc-TeX-main-R,MJXc-TeX-main-Rw}
|
|
.MJXc-TeX-math-I {font-family: MJXc-TeX-math-I,MJXc-TeX-math-Ix,MJXc-TeX-math-Iw}
|
|
.MJXc-TeX-size1-R {font-family: MJXc-TeX-size1-R,MJXc-TeX-size1-Rw}
|
|
.MJXc-TeX-size2-R {font-family: MJXc-TeX-size2-R,MJXc-TeX-size2-Rw}
|
|
.MJXc-TeX-size3-R {font-family: MJXc-TeX-size3-R,MJXc-TeX-size3-Rw}
|
|
.MJXc-TeX-size4-R {font-family: MJXc-TeX-size4-R,MJXc-TeX-size4-Rw}
|
|
.MJXc-TeX-vec-R {font-family: MJXc-TeX-vec-R,MJXc-TeX-vec-Rw}
|
|
.MJXc-TeX-vec-B {font-family: MJXc-TeX-vec-B,MJXc-TeX-vec-Bx,MJXc-TeX-vec-Bw}
|
|
@font-face {font-family: MJXc-TeX-ams-R; src: local('MathJax_AMS'), local('MathJax_AMS-Regular')}
|
|
@font-face {font-family: MJXc-TeX-ams-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_AMS-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_AMS-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_AMS-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-cal-B; src: local('MathJax_Caligraphic Bold'), local('MathJax_Caligraphic-Bold')}
|
|
@font-face {font-family: MJXc-TeX-cal-Bx; src: local('MathJax_Caligraphic'); font-weight: bold}
|
|
@font-face {font-family: MJXc-TeX-cal-Bw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Caligraphic-Bold.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Caligraphic-Bold.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Caligraphic-Bold.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-frak-R; src: local('MathJax_Fraktur'), local('MathJax_Fraktur-Regular')}
|
|
@font-face {font-family: MJXc-TeX-frak-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Fraktur-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Fraktur-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Fraktur-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-frak-B; src: local('MathJax_Fraktur Bold'), local('MathJax_Fraktur-Bold')}
|
|
@font-face {font-family: MJXc-TeX-frak-Bx; src: local('MathJax_Fraktur'); font-weight: bold}
|
|
@font-face {font-family: MJXc-TeX-frak-Bw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Fraktur-Bold.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Fraktur-Bold.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Fraktur-Bold.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-math-BI; src: local('MathJax_Math BoldItalic'), local('MathJax_Math-BoldItalic')}
|
|
@font-face {font-family: MJXc-TeX-math-BIx; src: local('MathJax_Math'); font-weight: bold; font-style: italic}
|
|
@font-face {font-family: MJXc-TeX-math-BIw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Math-BoldItalic.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Math-BoldItalic.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Math-BoldItalic.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-sans-R; src: local('MathJax_SansSerif'), local('MathJax_SansSerif-Regular')}
|
|
@font-face {font-family: MJXc-TeX-sans-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_SansSerif-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_SansSerif-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_SansSerif-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-sans-B; src: local('MathJax_SansSerif Bold'), local('MathJax_SansSerif-Bold')}
|
|
@font-face {font-family: MJXc-TeX-sans-Bx; src: local('MathJax_SansSerif'); font-weight: bold}
|
|
@font-face {font-family: MJXc-TeX-sans-Bw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_SansSerif-Bold.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_SansSerif-Bold.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_SansSerif-Bold.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-sans-I; src: local('MathJax_SansSerif Italic'), local('MathJax_SansSerif-Italic')}
|
|
@font-face {font-family: MJXc-TeX-sans-Ix; src: local('MathJax_SansSerif'); font-style: italic}
|
|
@font-face {font-family: MJXc-TeX-sans-Iw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_SansSerif-Italic.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_SansSerif-Italic.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_SansSerif-Italic.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-script-R; src: local('MathJax_Script'), local('MathJax_Script-Regular')}
|
|
@font-face {font-family: MJXc-TeX-script-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Script-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Script-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Script-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-type-R; src: local('MathJax_Typewriter'), local('MathJax_Typewriter-Regular')}
|
|
@font-face {font-family: MJXc-TeX-type-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Typewriter-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Typewriter-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Typewriter-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-cal-R; src: local('MathJax_Caligraphic'), local('MathJax_Caligraphic-Regular')}
|
|
@font-face {font-family: MJXc-TeX-cal-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Caligraphic-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Caligraphic-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Caligraphic-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-main-B; src: local('MathJax_Main Bold'), local('MathJax_Main-Bold')}
|
|
@font-face {font-family: MJXc-TeX-main-Bx; src: local('MathJax_Main'); font-weight: bold}
|
|
@font-face {font-family: MJXc-TeX-main-Bw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Main-Bold.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Main-Bold.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Main-Bold.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-main-I; src: local('MathJax_Main Italic'), local('MathJax_Main-Italic')}
|
|
@font-face {font-family: MJXc-TeX-main-Ix; src: local('MathJax_Main'); font-style: italic}
|
|
@font-face {font-family: MJXc-TeX-main-Iw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Main-Italic.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Main-Italic.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Main-Italic.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-main-R; src: local('MathJax_Main'), local('MathJax_Main-Regular')}
|
|
@font-face {font-family: MJXc-TeX-main-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Main-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Main-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Main-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-math-I; src: local('MathJax_Math Italic'), local('MathJax_Math-Italic')}
|
|
@font-face {font-family: MJXc-TeX-math-Ix; src: local('MathJax_Math'); font-style: italic}
|
|
@font-face {font-family: MJXc-TeX-math-Iw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Math-Italic.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Math-Italic.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Math-Italic.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-size1-R; src: local('MathJax_Size1'), local('MathJax_Size1-Regular')}
|
|
@font-face {font-family: MJXc-TeX-size1-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Size1-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Size1-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Size1-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-size2-R; src: local('MathJax_Size2'), local('MathJax_Size2-Regular')}
|
|
@font-face {font-family: MJXc-TeX-size2-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Size2-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Size2-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Size2-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-size3-R; src: local('MathJax_Size3'), local('MathJax_Size3-Regular')}
|
|
@font-face {font-family: MJXc-TeX-size3-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Size3-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Size3-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Size3-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-size4-R; src: local('MathJax_Size4'), local('MathJax_Size4-Regular')}
|
|
@font-face {font-family: MJXc-TeX-size4-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Size4-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Size4-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Size4-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-vec-R; src: local('MathJax_Vector'), local('MathJax_Vector-Regular')}
|
|
@font-face {font-family: MJXc-TeX-vec-Rw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Vector-Regular.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Vector-Regular.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Vector-Regular.otf') format('opentype')}
|
|
@font-face {font-family: MJXc-TeX-vec-B; src: local('MathJax_Vector Bold'), local('MathJax_Vector-Bold')}
|
|
@font-face {font-family: MJXc-TeX-vec-Bx; src: local('MathJax_Vector'); font-weight: bold}
|
|
@font-face {font-family: MJXc-TeX-vec-Bw; src /*1*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/eot/MathJax_Vector-Bold.eot'); src /*2*/: url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/woff/MathJax_Vector-Bold.woff') format('woff'), url('https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/fonts/HTML-CSS/TeX/otf/MathJax_Vector-Bold.otf') format('opentype')}
|
|
</style></head>
|
|
<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light"><div id="MathJax_Message" style="display: none;"></div>
|
|
<main>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=05263dd0-2924-4567-b832-9fc3d7e53585">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<h1 id="Decision-Tree-Classifier-for-the-IRIS-dataset">Decision Tree Classifier for the IRIS dataset<a class="anchor-link" href="file:///C:/Users/stei/Downloads/Decision%20Tree%20Iris.html#Decision-Tree-Classifier-for-the-IRIS-dataset">¶</a></h1>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=c0dc229b">
|
|
<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="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> <span class="c1"># for number crunching</span>
|
|
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span> <span class="c1"># for data handling</span>
|
|
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span> <span class="c1"># for plotting</span>
|
|
|
|
<span class="kn">from</span> <span class="nn">sklearn</span> <span class="kn">import</span> <span class="n">datasets</span> <span class="c1"># collection of datasets including the iris dataset</span>
|
|
|
|
<span class="c1">#for creating and plotting a picture of the decision tree</span>
|
|
<span class="kn">from</span> <span class="nn">sklearn</span> <span class="kn">import</span> <span class="n">tree</span>
|
|
<span class="kn">import</span> <span class="nn">pydotplus</span>
|
|
<span class="kn">from</span> <span class="nn">IPython.display</span> <span class="kn">import</span> <span class="n">Image</span>
|
|
|
|
<span class="c1"># for performance evaluation</span>
|
|
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="kn">import</span> <span class="n">accuracy_score</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=6d076c58">
|
|
<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 [2]:</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="n">iris</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">load_iris</span><span class="p">()</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=3fec182d">
|
|
<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 [3]:</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="kn">from</span> <span class="nn">sklearn.tree</span> <span class="kn">import</span> <span class="n">DecisionTreeClassifier</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b39bc4ba">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>To train a Decision Tree Classifier model on a specific data, we need to split the data that we have into a training set and a test set.
|
|
First we need to import the function that will do that and split the dataset randomly.</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=189d5e6a">
|
|
<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 [4]:</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="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">train_test_split</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=953fd08d">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>First we will use some conventional variables that hold our data</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=84197962">
|
|
<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 [5]:</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="n">X</span> <span class="o">=</span> <span class="n">iris</span><span class="o">.</span><span class="n">data</span> <span class="c1"># it is convention to use a big X for the data </span>
|
|
<span class="c1">#(as the data is usally a matrix or multi-dimensional array )</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=000921a3">
|
|
<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 [6]:</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="n">y</span> <span class="o">=</span> <span class="n">iris</span><span class="o">.</span><span class="n">target</span> <span class="c1"># it is convention to use a small y for the tartets </span>
|
|
<span class="c1">#(as the targets are usually a vector one-dimensional array)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=d5401467">
|
|
<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 [7]:</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="n">X</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[7]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([[5.1, 3.5, 1.4, 0.2],
|
|
[4.9, 3. , 1.4, 0.2],
|
|
[4.7, 3.2, 1.3, 0.2],
|
|
[4.6, 3.1, 1.5, 0.2],
|
|
[5. , 3.6, 1.4, 0.2],
|
|
[5.4, 3.9, 1.7, 0.4],
|
|
[4.6, 3.4, 1.4, 0.3],
|
|
[5. , 3.4, 1.5, 0.2],
|
|
[4.4, 2.9, 1.4, 0.2],
|
|
[4.9, 3.1, 1.5, 0.1],
|
|
[5.4, 3.7, 1.5, 0.2],
|
|
[4.8, 3.4, 1.6, 0.2],
|
|
[4.8, 3. , 1.4, 0.1],
|
|
[4.3, 3. , 1.1, 0.1],
|
|
[5.8, 4. , 1.2, 0.2],
|
|
[5.7, 4.4, 1.5, 0.4],
|
|
[5.4, 3.9, 1.3, 0.4],
|
|
[5.1, 3.5, 1.4, 0.3],
|
|
[5.7, 3.8, 1.7, 0.3],
|
|
[5.1, 3.8, 1.5, 0.3],
|
|
[5.4, 3.4, 1.7, 0.2],
|
|
[5.1, 3.7, 1.5, 0.4],
|
|
[4.6, 3.6, 1. , 0.2],
|
|
[5.1, 3.3, 1.7, 0.5],
|
|
[4.8, 3.4, 1.9, 0.2],
|
|
[5. , 3. , 1.6, 0.2],
|
|
[5. , 3.4, 1.6, 0.4],
|
|
[5.2, 3.5, 1.5, 0.2],
|
|
[5.2, 3.4, 1.4, 0.2],
|
|
[4.7, 3.2, 1.6, 0.2],
|
|
[4.8, 3.1, 1.6, 0.2],
|
|
[5.4, 3.4, 1.5, 0.4],
|
|
[5.2, 4.1, 1.5, 0.1],
|
|
[5.5, 4.2, 1.4, 0.2],
|
|
[4.9, 3.1, 1.5, 0.2],
|
|
[5. , 3.2, 1.2, 0.2],
|
|
[5.5, 3.5, 1.3, 0.2],
|
|
[4.9, 3.6, 1.4, 0.1],
|
|
[4.4, 3. , 1.3, 0.2],
|
|
[5.1, 3.4, 1.5, 0.2],
|
|
[5. , 3.5, 1.3, 0.3],
|
|
[4.5, 2.3, 1.3, 0.3],
|
|
[4.4, 3.2, 1.3, 0.2],
|
|
[5. , 3.5, 1.6, 0.6],
|
|
[5.1, 3.8, 1.9, 0.4],
|
|
[4.8, 3. , 1.4, 0.3],
|
|
[5.1, 3.8, 1.6, 0.2],
|
|
[4.6, 3.2, 1.4, 0.2],
|
|
[5.3, 3.7, 1.5, 0.2],
|
|
[5. , 3.3, 1.4, 0.2],
|
|
[7. , 3.2, 4.7, 1.4],
|
|
[6.4, 3.2, 4.5, 1.5],
|
|
[6.9, 3.1, 4.9, 1.5],
|
|
[5.5, 2.3, 4. , 1.3],
|
|
[6.5, 2.8, 4.6, 1.5],
|
|
[5.7, 2.8, 4.5, 1.3],
|
|
[6.3, 3.3, 4.7, 1.6],
|
|
[4.9, 2.4, 3.3, 1. ],
|
|
[6.6, 2.9, 4.6, 1.3],
|
|
[5.2, 2.7, 3.9, 1.4],
|
|
[5. , 2. , 3.5, 1. ],
|
|
[5.9, 3. , 4.2, 1.5],
|
|
[6. , 2.2, 4. , 1. ],
|
|
[6.1, 2.9, 4.7, 1.4],
|
|
[5.6, 2.9, 3.6, 1.3],
|
|
[6.7, 3.1, 4.4, 1.4],
|
|
[5.6, 3. , 4.5, 1.5],
|
|
[5.8, 2.7, 4.1, 1. ],
|
|
[6.2, 2.2, 4.5, 1.5],
|
|
[5.6, 2.5, 3.9, 1.1],
|
|
[5.9, 3.2, 4.8, 1.8],
|
|
[6.1, 2.8, 4. , 1.3],
|
|
[6.3, 2.5, 4.9, 1.5],
|
|
[6.1, 2.8, 4.7, 1.2],
|
|
[6.4, 2.9, 4.3, 1.3],
|
|
[6.6, 3. , 4.4, 1.4],
|
|
[6.8, 2.8, 4.8, 1.4],
|
|
[6.7, 3. , 5. , 1.7],
|
|
[6. , 2.9, 4.5, 1.5],
|
|
[5.7, 2.6, 3.5, 1. ],
|
|
[5.5, 2.4, 3.8, 1.1],
|
|
[5.5, 2.4, 3.7, 1. ],
|
|
[5.8, 2.7, 3.9, 1.2],
|
|
[6. , 2.7, 5.1, 1.6],
|
|
[5.4, 3. , 4.5, 1.5],
|
|
[6. , 3.4, 4.5, 1.6],
|
|
[6.7, 3.1, 4.7, 1.5],
|
|
[6.3, 2.3, 4.4, 1.3],
|
|
[5.6, 3. , 4.1, 1.3],
|
|
[5.5, 2.5, 4. , 1.3],
|
|
[5.5, 2.6, 4.4, 1.2],
|
|
[6.1, 3. , 4.6, 1.4],
|
|
[5.8, 2.6, 4. , 1.2],
|
|
[5. , 2.3, 3.3, 1. ],
|
|
[5.6, 2.7, 4.2, 1.3],
|
|
[5.7, 3. , 4.2, 1.2],
|
|
[5.7, 2.9, 4.2, 1.3],
|
|
[6.2, 2.9, 4.3, 1.3],
|
|
[5.1, 2.5, 3. , 1.1],
|
|
[5.7, 2.8, 4.1, 1.3],
|
|
[6.3, 3.3, 6. , 2.5],
|
|
[5.8, 2.7, 5.1, 1.9],
|
|
[7.1, 3. , 5.9, 2.1],
|
|
[6.3, 2.9, 5.6, 1.8],
|
|
[6.5, 3. , 5.8, 2.2],
|
|
[7.6, 3. , 6.6, 2.1],
|
|
[4.9, 2.5, 4.5, 1.7],
|
|
[7.3, 2.9, 6.3, 1.8],
|
|
[6.7, 2.5, 5.8, 1.8],
|
|
[7.2, 3.6, 6.1, 2.5],
|
|
[6.5, 3.2, 5.1, 2. ],
|
|
[6.4, 2.7, 5.3, 1.9],
|
|
[6.8, 3. , 5.5, 2.1],
|
|
[5.7, 2.5, 5. , 2. ],
|
|
[5.8, 2.8, 5.1, 2.4],
|
|
[6.4, 3.2, 5.3, 2.3],
|
|
[6.5, 3. , 5.5, 1.8],
|
|
[7.7, 3.8, 6.7, 2.2],
|
|
[7.7, 2.6, 6.9, 2.3],
|
|
[6. , 2.2, 5. , 1.5],
|
|
[6.9, 3.2, 5.7, 2.3],
|
|
[5.6, 2.8, 4.9, 2. ],
|
|
[7.7, 2.8, 6.7, 2. ],
|
|
[6.3, 2.7, 4.9, 1.8],
|
|
[6.7, 3.3, 5.7, 2.1],
|
|
[7.2, 3.2, 6. , 1.8],
|
|
[6.2, 2.8, 4.8, 1.8],
|
|
[6.1, 3. , 4.9, 1.8],
|
|
[6.4, 2.8, 5.6, 2.1],
|
|
[7.2, 3. , 5.8, 1.6],
|
|
[7.4, 2.8, 6.1, 1.9],
|
|
[7.9, 3.8, 6.4, 2. ],
|
|
[6.4, 2.8, 5.6, 2.2],
|
|
[6.3, 2.8, 5.1, 1.5],
|
|
[6.1, 2.6, 5.6, 1.4],
|
|
[7.7, 3. , 6.1, 2.3],
|
|
[6.3, 3.4, 5.6, 2.4],
|
|
[6.4, 3.1, 5.5, 1.8],
|
|
[6. , 3. , 4.8, 1.8],
|
|
[6.9, 3.1, 5.4, 2.1],
|
|
[6.7, 3.1, 5.6, 2.4],
|
|
[6.9, 3.1, 5.1, 2.3],
|
|
[5.8, 2.7, 5.1, 1.9],
|
|
[6.8, 3.2, 5.9, 2.3],
|
|
[6.7, 3.3, 5.7, 2.5],
|
|
[6.7, 3. , 5.2, 2.3],
|
|
[6.3, 2.5, 5. , 1.9],
|
|
[6.5, 3. , 5.2, 2. ],
|
|
[6.2, 3.4, 5.4, 2.3],
|
|
[5.9, 3. , 5.1, 1.8]])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=29a7ba26">
|
|
<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 [8]:</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="n">y</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[8]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
|
|
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
|
|
0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
|
|
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
|
|
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
|
|
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
|
|
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=fa85730c">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>Now we split the data into a training set and a test set. Each of those contain a portion of the X data and the respective portion of the y data.<br>
|
|
Here we chose the test set to be 20% (0.2) of the data that we have.</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=9eb2e715">
|
|
<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 [9]:</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="n">X_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">y_test</span> <span class="o">=</span> <span class="n">train_test_split</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">test_size</span> <span class="o">=</span> <span class="mf">0.2</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=e0480e57">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>Let's have a look at the training and test data</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=ad7239e2">
|
|
<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 [10]:</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="n">X_train</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[10]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([[6.3, 2.5, 4.9, 1.5],
|
|
[6.7, 2.5, 5.8, 1.8],
|
|
[6.2, 3.4, 5.4, 2.3],
|
|
[5. , 3. , 1.6, 0.2],
|
|
[4.8, 3.1, 1.6, 0.2],
|
|
[5.8, 2.8, 5.1, 2.4],
|
|
[5.5, 4.2, 1.4, 0.2],
|
|
[6.3, 3.3, 6. , 2.5],
|
|
[5. , 3.2, 1.2, 0.2],
|
|
[5.5, 3.5, 1.3, 0.2],
|
|
[6.2, 2.9, 4.3, 1.3],
|
|
[6.4, 3.2, 4.5, 1.5],
|
|
[5.6, 2.9, 3.6, 1.3],
|
|
[6. , 3.4, 4.5, 1.6],
|
|
[6.7, 3.1, 4.7, 1.5],
|
|
[6.7, 3.3, 5.7, 2.1],
|
|
[6.3, 2.9, 5.6, 1.8],
|
|
[5.5, 2.6, 4.4, 1.2],
|
|
[5. , 3.6, 1.4, 0.2],
|
|
[5.1, 3.8, 1.9, 0.4],
|
|
[5.9, 3. , 5.1, 1.8],
|
|
[5.8, 2.6, 4. , 1.2],
|
|
[5.4, 3.4, 1.7, 0.2],
|
|
[5.1, 3.8, 1.5, 0.3],
|
|
[6. , 2.2, 5. , 1.5],
|
|
[5.5, 2.4, 3.7, 1. ],
|
|
[4.9, 3.1, 1.5, 0.2],
|
|
[5.6, 2.5, 3.9, 1.1],
|
|
[6.6, 2.9, 4.6, 1.3],
|
|
[6. , 2.2, 4. , 1. ],
|
|
[6.8, 3. , 5.5, 2.1],
|
|
[5.1, 3.4, 1.5, 0.2],
|
|
[6.3, 2.5, 5. , 1.9],
|
|
[4.8, 3. , 1.4, 0.1],
|
|
[6.1, 2.6, 5.6, 1.4],
|
|
[5.1, 3.3, 1.7, 0.5],
|
|
[5.4, 3. , 4.5, 1.5],
|
|
[7.2, 3.6, 6.1, 2.5],
|
|
[6. , 2.9, 4.5, 1.5],
|
|
[6.3, 3.4, 5.6, 2.4],
|
|
[5.1, 3.5, 1.4, 0.3],
|
|
[6.9, 3.1, 5.4, 2.1],
|
|
[5.5, 2.3, 4. , 1.3],
|
|
[6.3, 3.3, 4.7, 1.6],
|
|
[5.7, 4.4, 1.5, 0.4],
|
|
[6.5, 2.8, 4.6, 1.5],
|
|
[4.6, 3.1, 1.5, 0.2],
|
|
[6.4, 2.7, 5.3, 1.9],
|
|
[7.7, 2.6, 6.9, 2.3],
|
|
[4.9, 3. , 1.4, 0.2],
|
|
[5.7, 2.5, 5. , 2. ],
|
|
[5. , 2. , 3.5, 1. ],
|
|
[6.5, 3.2, 5.1, 2. ],
|
|
[5. , 3.5, 1.3, 0.3],
|
|
[6.3, 2.7, 4.9, 1.8],
|
|
[6.7, 3.1, 5.6, 2.4],
|
|
[5. , 3.5, 1.6, 0.6],
|
|
[5.6, 2.8, 4.9, 2. ],
|
|
[4.9, 2.5, 4.5, 1.7],
|
|
[6.5, 3. , 5.2, 2. ],
|
|
[6.2, 2.8, 4.8, 1.8],
|
|
[5.5, 2.5, 4. , 1.3],
|
|
[4.7, 3.2, 1.3, 0.2],
|
|
[5.9, 3. , 4.2, 1.5],
|
|
[6.4, 2.8, 5.6, 2.2],
|
|
[6.7, 3.1, 4.4, 1.4],
|
|
[4.6, 3.2, 1.4, 0.2],
|
|
[6.4, 3.2, 5.3, 2.3],
|
|
[5.6, 2.7, 4.2, 1.3],
|
|
[5.1, 3.8, 1.6, 0.2],
|
|
[7.7, 3.8, 6.7, 2.2],
|
|
[6.8, 2.8, 4.8, 1.4],
|
|
[5.7, 3.8, 1.7, 0.3],
|
|
[4.7, 3.2, 1.6, 0.2],
|
|
[6.9, 3.2, 5.7, 2.3],
|
|
[5.7, 3. , 4.2, 1.2],
|
|
[7.3, 2.9, 6.3, 1.8],
|
|
[6.4, 3.1, 5.5, 1.8],
|
|
[4.4, 3.2, 1.3, 0.2],
|
|
[7.2, 3. , 5.8, 1.6],
|
|
[6.2, 2.2, 4.5, 1.5],
|
|
[4.5, 2.3, 1.3, 0.3],
|
|
[6.5, 3. , 5.5, 1.8],
|
|
[4.9, 3.1, 1.5, 0.1],
|
|
[5.8, 2.7, 3.9, 1.2],
|
|
[5.4, 3.9, 1.7, 0.4],
|
|
[7.1, 3. , 5.9, 2.1],
|
|
[5.6, 3. , 4.1, 1.3],
|
|
[5.7, 2.8, 4.5, 1.3],
|
|
[6.9, 3.1, 5.1, 2.3],
|
|
[5. , 3.4, 1.6, 0.4],
|
|
[5.2, 3.5, 1.5, 0.2],
|
|
[5.6, 3. , 4.5, 1.5],
|
|
[5.2, 4.1, 1.5, 0.1],
|
|
[5.1, 2.5, 3. , 1.1],
|
|
[7.6, 3. , 6.6, 2.1],
|
|
[6.4, 2.8, 5.6, 2.1],
|
|
[5.8, 2.7, 5.1, 1.9],
|
|
[6.9, 3.1, 4.9, 1.5],
|
|
[4.6, 3.4, 1.4, 0.3],
|
|
[7.4, 2.8, 6.1, 1.9],
|
|
[5.8, 2.7, 5.1, 1.9],
|
|
[5.1, 3.7, 1.5, 0.4],
|
|
[4.6, 3.6, 1. , 0.2],
|
|
[4.9, 3.6, 1.4, 0.1],
|
|
[5.5, 2.4, 3.8, 1.1],
|
|
[5.9, 3.2, 4.8, 1.8],
|
|
[5.8, 2.7, 4.1, 1. ],
|
|
[4.4, 3. , 1.3, 0.2],
|
|
[6.7, 3. , 5.2, 2.3],
|
|
[5.1, 3.5, 1.4, 0.2],
|
|
[6.3, 2.8, 5.1, 1.5],
|
|
[6.7, 3. , 5. , 1.7],
|
|
[5.4, 3.4, 1.5, 0.4],
|
|
[6.4, 2.9, 4.3, 1.3],
|
|
[6.1, 2.8, 4.7, 1.2],
|
|
[6.1, 2.9, 4.7, 1.4],
|
|
[6. , 2.7, 5.1, 1.6],
|
|
[4.8, 3.4, 1.9, 0.2],
|
|
[5. , 2.3, 3.3, 1. ]])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=223529b3">
|
|
<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 [11]:</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="n">y_train</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[11]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([1, 2, 2, 0, 0, 2, 0, 2, 0, 0, 1, 1, 1, 1, 1, 2, 2, 1, 0, 0, 2, 1,
|
|
0, 0, 2, 1, 0, 1, 1, 1, 2, 0, 2, 0, 2, 0, 1, 2, 1, 2, 0, 2, 1, 1,
|
|
0, 1, 0, 2, 2, 0, 2, 1, 2, 0, 2, 2, 0, 2, 2, 2, 2, 1, 0, 1, 2, 1,
|
|
0, 2, 1, 0, 2, 1, 0, 0, 2, 1, 2, 2, 0, 2, 1, 0, 2, 0, 1, 0, 2, 1,
|
|
1, 2, 0, 0, 1, 0, 1, 2, 2, 2, 1, 0, 2, 2, 0, 0, 0, 1, 1, 1, 0, 2,
|
|
0, 2, 1, 0, 1, 1, 1, 1, 0, 1])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6fa6b60d">
|
|
<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 [12]:</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="n">X_test</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[12]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([[5.7, 2.8, 4.1, 1.3],
|
|
[5.2, 2.7, 3.9, 1.4],
|
|
[6.7, 3.3, 5.7, 2.5],
|
|
[7.9, 3.8, 6.4, 2. ],
|
|
[6.6, 3. , 4.4, 1.4],
|
|
[7.2, 3.2, 6. , 1.8],
|
|
[6.8, 3.2, 5.9, 2.3],
|
|
[5.7, 2.9, 4.2, 1.3],
|
|
[5.3, 3.7, 1.5, 0.2],
|
|
[4.8, 3.4, 1.6, 0.2],
|
|
[6.5, 3. , 5.8, 2.2],
|
|
[5.8, 4. , 1.2, 0.2],
|
|
[5.2, 3.4, 1.4, 0.2],
|
|
[5.7, 2.6, 3.5, 1. ],
|
|
[5.4, 3.7, 1.5, 0.2],
|
|
[4.4, 2.9, 1.4, 0.2],
|
|
[6.1, 3. , 4.9, 1.8],
|
|
[4.3, 3. , 1.1, 0.1],
|
|
[5. , 3.3, 1.4, 0.2],
|
|
[6.1, 3. , 4.6, 1.4],
|
|
[6.3, 2.3, 4.4, 1.3],
|
|
[4.9, 2.4, 3.3, 1. ],
|
|
[5.4, 3.9, 1.3, 0.4],
|
|
[7.7, 2.8, 6.7, 2. ],
|
|
[6.1, 2.8, 4. , 1.3],
|
|
[7. , 3.2, 4.7, 1.4],
|
|
[5. , 3.4, 1.5, 0.2],
|
|
[7.7, 3. , 6.1, 2.3],
|
|
[6. , 3. , 4.8, 1.8],
|
|
[4.8, 3. , 1.4, 0.3]])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6c29ff44">
|
|
<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 [13]:</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="n">y_test</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[13]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([1, 1, 2, 2, 1, 2, 2, 1, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1,
|
|
0, 2, 1, 1, 0, 2, 2, 0])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=7ed97d24-f127-4759-b75a-02851f83b5b5">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>To be able to plot the data nicely we can use the dataframe.</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=371dff8f-931a-4096-aae8-5e88f0324f78">
|
|
<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 [14]:</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="n">df_X_train</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="n">iris</span><span class="o">.</span><span class="n">feature_names</span><span class="p">)</span> <span class="c1"># A dataframe that contains the training data, X</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=9c2fc11c-2af8-4b21-8aa9-f79beb648e61">
|
|
<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 [15]:</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="n">colormap</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="s1">'Red'</span><span class="p">,</span> <span class="s1">'Blue'</span><span class="p">,</span> <span class="s1">'Green'</span><span class="p">])</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=7c74bfce">
|
|
<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 [173]:</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="n">visual_X_train</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">plotting</span><span class="o">.</span><span class="n">scatter_matrix</span><span class="p">(</span><span class="n">df_X_train</span><span class="p">,</span> <span class="n">figsize</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span><span class="mi">10</span><span class="p">],</span> <span class="n">c</span> <span class="o">=</span> <span class="n">colormap</span><span class="p">[</span><span class="n">y_train</span><span class="p">],</span> <span class="n">s</span> <span class="o">=</span> <span class="mi">150</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=7c132459">
|
|
<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 [17]:</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="n">df_X_test</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">X_test</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="n">iris</span><span class="o">.</span><span class="n">feature_names</span><span class="p">)</span> <span class="c1"># A dataframe that contains the test data</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=33b31ac4">
|
|
<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 [174]:</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="n">visual_X_test</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">plotting</span><span class="o">.</span><span class="n">scatter_matrix</span><span class="p">(</span><span class="n">df_X_test</span><span class="p">,</span> <span class="n">figsize</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span><span class="mi">10</span><span class="p">],</span> <span class="n">c</span> <span class="o">=</span> <span class="n">colormap</span><span class="p">[</span><span class="n">y_test</span><span class="p">],</span> <span class="n">s</span> <span class="o">=</span> <span class="mi">150</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=7e220960">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>From the two plots above you can see how your training and test data looks like.<br>
|
|
You would want to investigate that they both are good representatives of their respective classes. <br>
|
|
And you would like to see that the particularities for the dataset are represented in both, the training set and the test set. <br>
|
|
In this case, we already know that the versicolor (blue) and virginica (green) are overlapping somewhat. We want to see this also in the training set and in the test set. <br></p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f2c09794">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<hr>
|
|
<p>Since the train test split includes some randomness, everytime you split the data it will be a little bit different.</p>
|
|
<hr>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=1bafd0ec-79be-4ed7-838a-8d7962e9d313">
|
|
<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 [19]:</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="n">y_test</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[19]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([1, 1, 2, 2, 1, 2, 2, 1, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1,
|
|
0, 2, 1, 1, 0, 2, 2, 0])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=de428e48-4053-4146-9f34-f8841e9194a0">
|
|
<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 [179]:</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="n">X_2_train</span><span class="p">,</span> <span class="n">X_2_test</span><span class="p">,</span> <span class="n">y_2_train</span><span class="p">,</span> <span class="n">y_2_test</span> <span class="o">=</span> <span class="n">train_test_split</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">test_size</span> <span class="o">=</span> <span class="mf">0.2</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=fb5585bf-a7ac-4610-bc13-0b0b1ce2a962">
|
|
<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 [180]:</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="n">y_2_test</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[180]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([1, 2, 1, 1, 1, 2, 0, 1, 0, 1, 2, 2, 0, 1, 2, 0, 2, 2, 2, 0, 1, 2,
|
|
2, 1, 1, 2, 1, 1, 0, 2])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=127a8276-4a29-4e47-b441-2dd78a242bd9">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>If you want to make sure that your train-test-split is the exact same as the one somebody else uses,
|
|
you need to seed the random number generator.</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=64874178-1f9f-4b8b-9b70-c58397c94e20">
|
|
<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 [181]:</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="n">X_42_train</span><span class="p">,</span> <span class="n">X_42_test</span><span class="p">,</span> <span class="n">y_42_train</span><span class="p">,</span> <span class="n">y_42_test</span> <span class="o">=</span> <span class="n">train_test_split</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">test_size</span> <span class="o">=</span> <span class="mf">0.2</span><span class="p">,</span> <span class="n">random_state</span> <span class="o">=</span> <span class="mi">42</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6a401b9f-78a5-4f69-a991-a01db9dc50fc">
|
|
<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 [182]:</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="n">y_42_test</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[182]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([1, 0, 2, 1, 1, 0, 1, 2, 1, 1, 2, 0, 0, 0, 0, 1, 2, 1, 1, 2, 0, 2,
|
|
0, 2, 2, 2, 2, 2, 0, 0])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=4bde76df-ff8e-42e9-877f-9c7a81825e3b">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea">
|
|
<div class="jp-InputPrompt jp-InputArea-prompt">In [24]:</div>
|
|
<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="n">X_23_train</span><span class="p">,</span> <span class="n">X_23_test</span><span class="p">,</span> <span class="n">y_23_train</span><span class="p">,</span> <span class="n">y_23_test</span> <span class="o">=</span> <span class="n">train_test_split</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">test_size</span> <span class="o">=</span> <span class="mf">0.2</span><span class="p">,</span> <span class="n">random_state</span> <span class="o">=</span> <span class="mi">23</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=36e15bcb-17e1-4e32-ac1c-d17c65c0f40e">
|
|
<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 [25]:</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="n">y_23_test</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[25]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([2, 2, 1, 0, 2, 1, 0, 2, 0, 1, 1, 0, 2, 0, 0, 2, 1, 1, 2, 0, 2, 0,
|
|
0, 0, 2, 0, 0, 2, 1, 1])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=8260fe52-e815-47a3-8130-73e0c503f3be">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<h2 id="Let's-build-a-Decision-Tree-Classifier">Let's build a Decision Tree Classifier<a class="anchor-link" href="file:///C:/Users/stei/Downloads/Decision%20Tree%20Iris.html#Let's-build-a-Decision-Tree-Classifier">¶</a></h2>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=e3cedef4">
|
|
<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 [26]:</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="n">model_1</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">()</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=23e37699">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>Now we train the model, which also is called fitting the model to the data.</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=ffb0f314">
|
|
<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 [27]:</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="n">model_1</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[27]:</div>
|
|
<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
|
|
<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div class="sk-top-container" id="sk-container-id-1"><div class="sk-text-repr-fallback"><pre>DecisionTreeClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br>On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.<br></b></div><div class="sk-container" hidden=""><div class="sk-item"><div class="sk-estimator sk-toggleable"><input checked="" class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox"><label class="sk-toggleable__label sk-toggleable__label-arrow" for="sk-estimator-id-1">DecisionTreeClassifier</label><div class="sk-toggleable__content"><pre>DecisionTreeClassifier()</pre></div></div></div></div></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=3be2465e-2744-4421-904c-a3b6faae5cb3">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>It follows some code to print out the tree. First we have to convert the tree structure into a dot_data wich then is transformed into a graph, which we then can print.</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=709be91e-1376-4bab-864a-7d21f45c3b47">
|
|
<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 [28]:</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="n">dot_data_1</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">export_graphviz</span><span class="p">(</span><span class="n">model_1</span><span class="p">,</span> <span class="n">out_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">feature_names</span><span class="o">=</span><span class="p">[</span><span class="s1">'sepal-length'</span><span class="p">,</span><span class="s1">'sepal-width'</span><span class="p">,</span><span class="s1">'petal-length'</span><span class="p">,</span><span class="s1">'petal-width'</span><span class="p">],</span>
|
|
<span class="n">label</span><span class="o">=</span><span class="s1">'all'</span><span class="p">,</span> <span class="n">rounded</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">filled</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=a83f06e7-4198-4772-8afd-bb11a2a6297b">
|
|
<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 [29]:</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="n">graph_1</span> <span class="o">=</span> <span class="n">pydotplus</span><span class="o">.</span><span class="n">graph_from_dot_data</span><span class="p">(</span><span class="n">dot_data_1</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a3a80d35-b9cb-407d-9ff7-2cd94fdb228b">
|
|
<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 [30]:</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="n">Image</span><span class="p">(</span><span class="n">graph_1</span><span class="o">.</span><span class="n">create_png</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[30]:</div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output jp-OutputArea-executeResult" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f735669f-afeb-4ec5-925e-dc2e403d00ee">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>A decision tree is a very transparent classifier, meaning it is easy for us to understand which rules for classification the tree is using.</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=026b705f-1847-4f9a-861b-7eeda6933f4e">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>How deep it the tree?</p>
|
|
<p>Are all samples from the training dataset classified correctly?</p>
|
|
<p>Is there anything in the tree that strikes us as particularly unnessessary?</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=203a5445-1a1d-4c3d-b07b-58f5d798dbbf">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>Let's compare the tree with a similar tree but build from a different train-test split</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=e99ce556-5224-456e-8c5b-362380373b06">
|
|
<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 [31]:</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="n">model_2</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">()</span>
|
|
<span class="n">model_2</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_2_train</span><span class="p">,</span><span class="n">y_2_train</span><span class="p">)</span>
|
|
<span class="n">dot_data_2</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">export_graphviz</span><span class="p">(</span><span class="n">model_2</span><span class="p">,</span> <span class="n">out_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">feature_names</span><span class="o">=</span><span class="p">[</span><span class="s1">'sepal-length'</span><span class="p">,</span><span class="s1">'sepal-width'</span><span class="p">,</span><span class="s1">'petal-length'</span><span class="p">,</span><span class="s1">'petal-width'</span><span class="p">],</span>
|
|
<span class="n">label</span><span class="o">=</span><span class="s1">'all'</span><span class="p">,</span> <span class="n">rounded</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">filled</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
|
<span class="n">graph_2</span> <span class="o">=</span> <span class="n">pydotplus</span><span class="o">.</span><span class="n">graph_from_dot_data</span><span class="p">(</span><span class="n">dot_data_2</span><span class="p">)</span>
|
|
<span class="n">Image</span><span class="p">(</span><span class="n">graph_2</span><span class="o">.</span><span class="n">create_png</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[31]:</div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output jp-OutputArea-executeResult" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=94117b25-ca1c-460c-b562-9a9483d823d5">
|
|
<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 [32]:</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="n">model_42</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">()</span>
|
|
<span class="n">model_42</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_42_train</span><span class="p">,</span><span class="n">y_42_train</span><span class="p">)</span>
|
|
<span class="n">dot_data_42</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">export_graphviz</span><span class="p">(</span><span class="n">model_42</span><span class="p">,</span> <span class="n">out_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">feature_names</span><span class="o">=</span><span class="p">[</span><span class="s1">'sepal-length'</span><span class="p">,</span><span class="s1">'sepal-width'</span><span class="p">,</span><span class="s1">'petal-length'</span><span class="p">,</span><span class="s1">'petal-width'</span><span class="p">],</span>
|
|
<span class="n">label</span><span class="o">=</span><span class="s1">'all'</span><span class="p">,</span> <span class="n">rounded</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">filled</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
|
<span class="n">graph_42</span> <span class="o">=</span> <span class="n">pydotplus</span><span class="o">.</span><span class="n">graph_from_dot_data</span><span class="p">(</span><span class="n">dot_data_42</span><span class="p">)</span>
|
|
<span class="n">Image</span><span class="p">(</span><span class="n">graph_42</span><span class="o">.</span><span class="n">create_png</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[32]:</div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output jp-OutputArea-executeResult" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=dbe23079-ae59-4634-ae13-517f3d9be41b">
|
|
<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 [33]:</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="n">model_23</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">()</span>
|
|
<span class="n">model_23</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_23_train</span><span class="p">,</span><span class="n">y_23_train</span><span class="p">)</span>
|
|
<span class="n">dot_data_23</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">export_graphviz</span><span class="p">(</span><span class="n">model_23</span><span class="p">,</span> <span class="n">out_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">feature_names</span><span class="o">=</span><span class="p">[</span><span class="s1">'sepal-length'</span><span class="p">,</span><span class="s1">'sepal-width'</span><span class="p">,</span><span class="s1">'petal-length'</span><span class="p">,</span><span class="s1">'petal-width'</span><span class="p">],</span>
|
|
<span class="n">label</span><span class="o">=</span><span class="s1">'all'</span><span class="p">,</span> <span class="n">rounded</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">filled</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
|
<span class="n">graph_23</span> <span class="o">=</span> <span class="n">pydotplus</span><span class="o">.</span><span class="n">graph_from_dot_data</span><span class="p">(</span><span class="n">dot_data_23</span><span class="p">)</span>
|
|
<span class="n">Image</span><span class="p">(</span><span class="n">graph_23</span><span class="o">.</span><span class="n">create_png</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[33]:</div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output jp-OutputArea-executeResult" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=4fe46aef-6eb7-4bc0-a4f5-a6c50da891ad">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<h4 id="Performance-Analysis-of-our-trees">Performance Analysis of our trees<a class="anchor-link" href="file:///C:/Users/stei/Downloads/Decision%20Tree%20Iris.html#Performance-Analysis-of-our-trees">¶</a></h4>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c73bcaab-3744-4b99-a79c-03019d7e61b9">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>How will does the model work on the training data?</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=dcd4c9cb-87d6-43e4-b375-3686ff193031">
|
|
<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 [34]:</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="n">predictions_train</span> <span class="o">=</span> <span class="n">model_1</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_train</span><span class="p">)</span> <span class="c1"># predicitons on the training set. This should be good, since the model has trained on this data.</span>
|
|
<span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_train</span><span class="p">,</span> <span class="n">predictions_train</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[34]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>1.0</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=cfe3fd77-65b0-48ac-ba8f-9280b5891068">
|
|
<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 [35]:</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="n">predictions_2_train</span> <span class="o">=</span> <span class="n">model_2</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_2_train</span><span class="p">)</span> <span class="c1"># predicitons on the training set. This should be good, since the model has trained on this data.</span>
|
|
<span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_2_train</span><span class="p">,</span> <span class="n">predictions_2_train</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[35]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>1.0</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=4a87c912-7bef-4dbe-ae8b-3c91d637a8ed">
|
|
<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 [36]:</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="n">predictions_42_train</span> <span class="o">=</span> <span class="n">model_42</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_42_train</span><span class="p">)</span> <span class="c1"># predicitons on the training set. This should be good, since the model has trained on this data.</span>
|
|
<span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_42_train</span><span class="p">,</span> <span class="n">predictions_42_train</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[36]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>1.0</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=db27ed54-6f13-488e-a9b1-83f8e57a66e4">
|
|
<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 [37]:</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="n">predictions_23_train</span> <span class="o">=</span> <span class="n">model_23</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_23_train</span><span class="p">)</span> <span class="c1"># predicitons on the training set. This should be good, since the model has trained on this data.</span>
|
|
<span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_23_train</span><span class="p">,</span> <span class="n">predictions_23_train</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[37]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>1.0</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=90d75670-d451-4c19-9d4a-b2ff5133fa0d">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>Predictions on the test data</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=120dfbd6-ca25-4fce-a58d-5cfb9c5e0e0b">
|
|
<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 [38]:</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="n">predictions_test</span> <span class="o">=</span> <span class="n">model_1</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test</span><span class="p">)</span>
|
|
<span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">predictions_test</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[38]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>0.9333333333333333</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=f0d701fa-1f73-40b0-93c7-b4e923e81433">
|
|
<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 [39]:</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="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">predictions_test</span><span class="p">,</span> <span class="n">rownames</span><span class="o">=</span><span class="p">[</span><span class="s1">'labels'</span><span class="p">],</span> <span class="n">colnames</span><span class="o">=</span><span class="p">[</span><span class="s1">'prediction'</span><span class="p">])</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[39]:</div>
|
|
<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
|
|
<div>
|
|
<style scoped="">
|
|
.dataframe tbody tr th:only-of-type {
|
|
vertical-align: middle;
|
|
}
|
|
|
|
.dataframe tbody tr th {
|
|
vertical-align: top;
|
|
}
|
|
|
|
.dataframe thead th {
|
|
text-align: right;
|
|
}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th>prediction</th>
|
|
<th>0</th>
|
|
<th>1</th>
|
|
<th>2</th>
|
|
</tr>
|
|
<tr>
|
|
<th>labels</th>
|
|
<th></th>
|
|
<th></th>
|
|
<th></th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>11</td>
|
|
<td>0</td>
|
|
<td>0</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>0</td>
|
|
<td>9</td>
|
|
<td>1</td>
|
|
</tr>
|
|
<tr>
|
|
<th>2</th>
|
|
<td>0</td>
|
|
<td>1</td>
|
|
<td>8</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=02af9783-7d50-4f36-beea-c4251c3ed226">
|
|
<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 [40]:</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="n">predictions_2_test</span> <span class="o">=</span> <span class="n">model_2</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_2_test</span><span class="p">)</span>
|
|
<span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_2_test</span><span class="p">,</span> <span class="n">predictions_2_test</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[40]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>0.9333333333333333</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a36248eb-d0d7-44c6-ae9f-6d12b4c26978">
|
|
<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 [41]:</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="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span><span class="n">y_2_test</span><span class="p">,</span> <span class="n">predictions_2_test</span><span class="p">,</span> <span class="n">rownames</span><span class="o">=</span><span class="p">[</span><span class="s1">'labels'</span><span class="p">],</span> <span class="n">colnames</span><span class="o">=</span><span class="p">[</span><span class="s1">'prediction'</span><span class="p">])</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[41]:</div>
|
|
<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
|
|
<div>
|
|
<style scoped="">
|
|
.dataframe tbody tr th:only-of-type {
|
|
vertical-align: middle;
|
|
}
|
|
|
|
.dataframe tbody tr th {
|
|
vertical-align: top;
|
|
}
|
|
|
|
.dataframe thead th {
|
|
text-align: right;
|
|
}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th>prediction</th>
|
|
<th>0</th>
|
|
<th>1</th>
|
|
<th>2</th>
|
|
</tr>
|
|
<tr>
|
|
<th>labels</th>
|
|
<th></th>
|
|
<th></th>
|
|
<th></th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>9</td>
|
|
<td>0</td>
|
|
<td>0</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>0</td>
|
|
<td>10</td>
|
|
<td>0</td>
|
|
</tr>
|
|
<tr>
|
|
<th>2</th>
|
|
<td>0</td>
|
|
<td>2</td>
|
|
<td>9</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=5e0da3e1-1463-4991-9118-5ac5e03b19ad">
|
|
<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 [42]:</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="n">predictions_42_test</span> <span class="o">=</span> <span class="n">model_42</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_42_test</span><span class="p">)</span>
|
|
<span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_42_test</span><span class="p">,</span> <span class="n">predictions_42_test</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[42]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>1.0</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=b404b7d9-5484-4a58-834e-0562871fc4c1">
|
|
<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 [43]:</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="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span><span class="n">y_42_test</span><span class="p">,</span> <span class="n">predictions_42_test</span><span class="p">,</span> <span class="n">rownames</span><span class="o">=</span><span class="p">[</span><span class="s1">'labels'</span><span class="p">],</span> <span class="n">colnames</span><span class="o">=</span><span class="p">[</span><span class="s1">'prediction'</span><span class="p">])</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[43]:</div>
|
|
<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
|
|
<div>
|
|
<style scoped="">
|
|
.dataframe tbody tr th:only-of-type {
|
|
vertical-align: middle;
|
|
}
|
|
|
|
.dataframe tbody tr th {
|
|
vertical-align: top;
|
|
}
|
|
|
|
.dataframe thead th {
|
|
text-align: right;
|
|
}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th>prediction</th>
|
|
<th>0</th>
|
|
<th>1</th>
|
|
<th>2</th>
|
|
</tr>
|
|
<tr>
|
|
<th>labels</th>
|
|
<th></th>
|
|
<th></th>
|
|
<th></th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>10</td>
|
|
<td>0</td>
|
|
<td>0</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>0</td>
|
|
<td>9</td>
|
|
<td>0</td>
|
|
</tr>
|
|
<tr>
|
|
<th>2</th>
|
|
<td>0</td>
|
|
<td>0</td>
|
|
<td>11</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=bae0e0b6-af61-47c2-95a1-787d8707e246">
|
|
<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 [44]:</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="n">predictions_23_test</span> <span class="o">=</span> <span class="n">model_23</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_23_test</span><span class="p">)</span>
|
|
<span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_23_test</span><span class="p">,</span> <span class="n">predictions_23_test</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[44]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>0.9666666666666667</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=71a423a2-635f-422a-9332-26e722eef60d">
|
|
<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 [45]:</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="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span><span class="n">y_23_test</span><span class="p">,</span> <span class="n">predictions_23_test</span><span class="p">,</span> <span class="n">rownames</span><span class="o">=</span><span class="p">[</span><span class="s1">'labels'</span><span class="p">],</span> <span class="n">colnames</span><span class="o">=</span><span class="p">[</span><span class="s1">'prediction'</span><span class="p">])</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[45]:</div>
|
|
<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
|
|
<div>
|
|
<style scoped="">
|
|
.dataframe tbody tr th:only-of-type {
|
|
vertical-align: middle;
|
|
}
|
|
|
|
.dataframe tbody tr th {
|
|
vertical-align: top;
|
|
}
|
|
|
|
.dataframe thead th {
|
|
text-align: right;
|
|
}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th>prediction</th>
|
|
<th>0</th>
|
|
<th>1</th>
|
|
<th>2</th>
|
|
</tr>
|
|
<tr>
|
|
<th>labels</th>
|
|
<th></th>
|
|
<th></th>
|
|
<th></th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>12</td>
|
|
<td>0</td>
|
|
<td>0</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>0</td>
|
|
<td>8</td>
|
|
<td>0</td>
|
|
</tr>
|
|
<tr>
|
|
<th>2</th>
|
|
<td>0</td>
|
|
<td>1</td>
|
|
<td>9</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=1ff7a538-8dbd-4fee-b869-f06eec63d81f">
|
|
<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 [46]:</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="n">model_d2</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">max_depth</span> <span class="o">=</span> <span class="mi">2</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=ca903c15-c4a4-42db-baf8-a019b5bb4e1b">
|
|
<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 [47]:</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="n">model_d2</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_42_train</span><span class="p">,</span><span class="n">y_42_train</span><span class="p">)</span>
|
|
<span class="n">dot_data_d2</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">export_graphviz</span><span class="p">(</span><span class="n">model_d2</span><span class="p">,</span> <span class="n">out_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">feature_names</span><span class="o">=</span><span class="p">[</span><span class="s1">'sepal-length'</span><span class="p">,</span><span class="s1">'sepal-width'</span><span class="p">,</span><span class="s1">'petal-length'</span><span class="p">,</span><span class="s1">'petal-width'</span><span class="p">],</span>
|
|
<span class="n">label</span><span class="o">=</span><span class="s1">'all'</span><span class="p">,</span> <span class="n">rounded</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">filled</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
|
<span class="n">graph_d2</span> <span class="o">=</span> <span class="n">pydotplus</span><span class="o">.</span><span class="n">graph_from_dot_data</span><span class="p">(</span><span class="n">dot_data_d2</span><span class="p">)</span>
|
|
<span class="n">Image</span><span class="p">(</span><span class="n">graph_d2</span><span class="o">.</span><span class="n">create_png</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[47]:</div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output jp-OutputArea-executeResult" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=1a5d5cbe-e3ef-4bf3-845e-57a9e0c1ccd9">
|
|
<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 [48]:</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="n">predictions_d2_test</span> <span class="o">=</span> <span class="n">model_d2</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_42_test</span><span class="p">)</span>
|
|
<span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_42_test</span><span class="p">,</span> <span class="n">predictions_d2_test</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[48]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>0.9666666666666667</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a9a488be-5ac0-42b8-8d46-6ca725553efc">
|
|
<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 [49]:</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="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span><span class="n">y_42_test</span><span class="p">,</span> <span class="n">predictions_d2_test</span><span class="p">,</span> <span class="n">rownames</span><span class="o">=</span><span class="p">[</span><span class="s1">'labels'</span><span class="p">],</span> <span class="n">colnames</span><span class="o">=</span><span class="p">[</span><span class="s1">'prediction'</span><span class="p">])</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[49]:</div>
|
|
<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
|
|
<div>
|
|
<style scoped="">
|
|
.dataframe tbody tr th:only-of-type {
|
|
vertical-align: middle;
|
|
}
|
|
|
|
.dataframe tbody tr th {
|
|
vertical-align: top;
|
|
}
|
|
|
|
.dataframe thead th {
|
|
text-align: right;
|
|
}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th>prediction</th>
|
|
<th>0</th>
|
|
<th>1</th>
|
|
<th>2</th>
|
|
</tr>
|
|
<tr>
|
|
<th>labels</th>
|
|
<th></th>
|
|
<th></th>
|
|
<th></th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>10</td>
|
|
<td>0</td>
|
|
<td>0</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>0</td>
|
|
<td>8</td>
|
|
<td>1</td>
|
|
</tr>
|
|
<tr>
|
|
<th>2</th>
|
|
<td>0</td>
|
|
<td>0</td>
|
|
<td>11</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=c061418f-dfe5-44fb-b715-36bfce57d915">
|
|
<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 [50]:</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="n">model_d3</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">max_depth</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
|
|
<span class="n">model_d3</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_42_train</span><span class="p">,</span><span class="n">y_42_train</span><span class="p">)</span>
|
|
<span class="n">dot_data_d3</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">export_graphviz</span><span class="p">(</span><span class="n">model_d3</span><span class="p">,</span> <span class="n">out_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">feature_names</span><span class="o">=</span><span class="p">[</span><span class="s1">'sepal-length'</span><span class="p">,</span><span class="s1">'sepal-width'</span><span class="p">,</span><span class="s1">'petal-length'</span><span class="p">,</span><span class="s1">'petal-width'</span><span class="p">],</span>
|
|
<span class="n">label</span><span class="o">=</span><span class="s1">'all'</span><span class="p">,</span> <span class="n">rounded</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">filled</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
|
<span class="n">graph_d3</span> <span class="o">=</span> <span class="n">pydotplus</span><span class="o">.</span><span class="n">graph_from_dot_data</span><span class="p">(</span><span class="n">dot_data_d3</span><span class="p">)</span>
|
|
<span class="n">Image</span><span class="p">(</span><span class="n">graph_d3</span><span class="o">.</span><span class="n">create_png</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[50]:</div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output jp-OutputArea-executeResult" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAsAAAAHxCAIAAADsg50tAAAABmJLR0QA/wD/AP+gvaeTAAAgAElEQVR4nOzdeVwT1/ow8IdN3DDiAloFlbqgKKgtCtYWpPXaAoHWCiKK1wUFEZcqlpeCqIg/q4J1KxjA6i0IiEsLAXqpCKKiVBSMiguoIIgILhgRi7Lk/ePcTqdJSEIIGUie74c/wsyZmSeRdp6c88w5GgKBABBCCCGE2kKT6QAQQggh1PVgAoEQQgihNsMEAiGEEEJtps10AKiTevHiRVFRUW1t7du3b5mOBbWBrq6uvr6+mZlZv379mI4FIaTKMIFA/1BUVPTTTz+lpqYWFxczHQtql9GjR7PZ7MWLF5uZmTEdC0JIBWngUxiIuHfv3vr161NSUkaOHPnV7K9mzJgxfsL4AQMG6OrqMh0aaoO3b98+e/bs5o2b2dnZv5z65d69e05OTuHh4SNHjmQ6NISQSsEEAkFDQ8OWLVt++OGHUaNG7di5Y9bnszQ0NJgOCimAQCDI+G+G/7f+JSUl33zzzaZNm7p37850UAghFYEJhLqrqan58ssvb9++HbI1xMvbS1sbR7VUTVNTE+cgJ3hj8NixY3/99VcDAwOmI0IIqQJMINRaUVGRo6OjtrZ2MjfZ1NSU6XBQB7pz544z27mpqSk1NRWrIhBC7YcJhPqqqKiYOnXq+++/f+rXU/3792c6HNThnj9/PvvL2ffv3//jjz+MjIyYDgch1LVhAqGm3rx5Y2tr+/r16wsXL/Tt25fpcJCS1NXVffzRx1paWufPn+/duzfT4SCEujCcSEpNeXp6Pnz4MDU9tfNkD1oaWloaWh19ktYaKOTq7cHn82OiY5ydnLU0tJydnI8lHuPz+RIaH0s8JmNjOj09vV9Tfn38+PHy5csVFztCSC0JkPrJzs4GgNS01GZBc4f+7ArbBQAyNiZ/kO28otSTUA2EYlPI1dvz4+XtJfTfpiPbUWzLquoqR7ajaOOq6ioZr5WalgoA2dnZTP8lIoS6MBzCUDvNzc2TJ082HmacnJLc0dci3+mp27MCG7c/JKHLKefqreHxeJMnTg4MCvRc5mlsbFxeXv799u85Bzm3794ePXq0UOOY6Biv5V7xCfFz3eaSLccSj7nPc+dEcTyXecp4RSe2U1lp2bVr1/C5G4SQfDCBUDtxcXFLliy5UXRj1KhRHX0ttUogeDzemcwz69avk+NYkhPQ0wWSUtCzBNG3IHWjBCUlJRPMJvz0008LFiyQI2CEEMIaCLVz8OBB5y+dZc8eqOKAY4nHyGvREffsrGyfFT5kPD47K5s6UOgMAMDj8XaH7yZbyOC91ADy8vK0NLSCNwZTW4qLi7U0tHg8HrWFXJ3H44mWMlC1AvRriY2Nai97bFSEPit8Jk+cvMFvA/20Yn/EnqG8vBwADA0NqS2DBw8GgKKiItHGouMXkreLNWrUKOcvnTkcjuyHIITQPzA9hoKUqqqqSlNTMzklua1VBULjHfTh+cCgQKE/qsCgQNGvws2CZrGDJvEJ8ZKrEF68fCG0Kz4hHgA4URzRCgahlkKFBaTuQRR1oFADKjaxPy9evkhOSSa3bS9vr+SUZKoKQexVWnuDrb331tqTj5EeG/lA2vTP2ixo/jX5V01NzSdPnjD9V4kQ6pIwgVAvCQkJOjo6dfV1bU0gHNmOpQ9LmwXNpQ9LScaQeSazWdCceSYTAAKDAl+8fEHuqWRvwbUC0Vsg+TX3Ui75tfRhKb2BhPsrOeftu7fJr9RXbfLr7bu3qXyCvp2KTShysakG+ZV6I+Qm3VoZY+nDUnLPdmQ7xifEk/O356dNCQR5a/T+Bke2I/nnaNNPXX2djo5OYmIi03+VCKEuCRMI9RIQEDB+/Hg57m3UzZu68Xt5e1G3dnLTJT+kw2BX2K7WboFV1VUF1wqSU5Lpt3PJ98vcS7nUN2ySLpD7N0lTSKIgmrKQ89Pv7uRYCQkE/UEGqR0GkvsnOjSBEO1KoffHyP4zfvz4wMBApv8qEUJdEiYQ6mXRokWff/G5Au9t0Dqxx4qOd4gmEKJ7SVJCRkZI6kCakbsm/YFMsSeUELmEtynh/i21B0Lyx9LOBIJcWnQIQ46EZtbns5YsWcL0XyVCqEvCIkr18ubNm169ejF19ZjomG2h27y8vTLPZBZcK6iqrpLxQBaLFRgUuC10GwDEx8dzojgAwInieC33AoANfhtaK27oIMbGxnPd5r54+WLZsmXx8fEjho3wWeGTyk2tqamR74Qkr6KXppLXYvMt93nuAEB/OoO8jo+Pb+t1e/fu/fr167bHixBC+BSGmhEIBPIt1U0eEyCKi4vhr3sbqVKkD2FI+BZO7vcRkREz7GZYWFjo6uqKvZbY89g72ANAKjc1lZtqOcUSAMZPGA8A5FmJaR9NEz0PiZBEK/ou2o/FYjmyHZNTkskIi7OT82DDwWLfgtTOCbK6VXV1NbWlrKwMAIyNjWWPJ5Wb2ta3oKGBD3IjhOSECQSSSUx0DLn7lpeXx8XGAcCMGTMAwMXFBQDCw8KpL9/ZWdlaGlq7w3dTxwo980nu6Hw+PzwsXPYAxo4dCwDOTs4AMHz4cGoL+TpOXgshEW7w20BFHhMdI9RGxhmgJbOysoqIjCi4ViB3R4jpWFMAiIuNo0I9eeIkAJBUSQi5SnZWNhU8yaKU3A2DEFJ3TI+hIKVycXGZ4zJHjhoIob50Uo7QWlkDNa0y9aQAqbgkQ/WiSIUmeS0hEnIh+qVJ/wd9i9BJhGIjYx+kgVBsoleXGo9if0RncSCBiQbT/qmsqZ85LnNcXFyY/qtECHVJmECoF7kTiOa/ahXFPjEYnxBPzbjAieJQd7KCawVkO/U8JHULDwwKvH33dsG1AhD3BKbYHzJSQL86ediSei5U7EniE+LJ7ZbUGFINhGJjPIGoqq7iRHFIqI5sR04Uhz4wJBTMi5cvqPdFCjnFjiJhAoEQ6jg4AqpeXF1dBSA4liTrHIvA9CIRqEPNdZ2rARpJSUlKuNYff/yRmpp6/vz5mzdv1tXVvXv3TgkXFdWtWzc9Pb0JEyZMnz7d0dFx6tSpjISBkArAGgiEUAcSCARxcXFjxoyxsrLauXNnTk7O8+fPmcoeAODdu3fPnz8/e/bszp07raysxowZExcXh9+jEJIDJhAIoY5y9epVKyurhQsXlpSUAACDeYMoEkxJScnChQutrKyuXr3KdEQIdTGYQCCEOsT3339vaWlZUFBAhkuZDkc8EltBQYGlpeX333/PdDgIdSWYQCAp6EV8CMni3bt3//73v7/77juBQNDU1MR0ONI1NTUJBILvvvvu3//+d6fqJkGoM9NmOgCEkEppbm52cnI6c+ZMp+11aI1AIIiPj6+urk5LS9PSEr/wOkKIgj0QqBPR0tAiD30osKUs+Hx+THSMs5OzloaWs5PzscRjkieYKi4uDt4YTGKIiY4RmsG6tb1ki9gfRb2RzmDt2rWZmZldouNBVFNTU2Zm5tq1a5kOBKEuAHsgEIKA/xfAOfi/CSrIbNlkjmqxjXk83uSJk6lfvZZ7cbncn2N/ZrFYUveKJTorVNd18ODBH3/8scv1PdA1Nzf/+OOPZmZm3t7eTMeCUKeGPRCoE5G93kKBlRk8Ho9zkBMYFEgW1Sx9WOrl7ZXKTaUvokHh8/mTJ052ZDuSxi9evtgVtiuVm/rf3/4rda/oPE5kHi2VmYL68ePH69at69LZAyEQCNatW/f48WOmA0GoU8MEAqm7/Mv5ALDAYwFZucrY2JjMUFlYUCja+Pbt2wDg7u5OGrNYrKWeS+GvlTAl7xVSU1MzeeJkThRn9OjRHfXelMvPz6+LjlyIampq8vPzYzoKhDo1TCAQA44lHiMFB8Ebg4uLi6k6AHpBAHldU1OzO3w3VZpAnUFC6UBbSw3I+lWGhobUlsGDBwNAUVGRaOOLuRcBwHqaNbWFxWJRk2pL3ivkwP4DjmxHz2We4j+jriY/Pz8xMbGxsZHpQBSjsbExMTExPz+f6UAQ6sSUPXc2YpQca2Eo/Ed08S1CaMUH8lqoPoCsZyF5oQoJf+0S2suysfmvJa+aaUts7ArbRa39IXkv/SfzTCb8c10PRn4UuBbGggULdHR05PhfUKelo6OzYMEChXw4CKkkTCDUC+MJBLlxChUckP9fi00gAoMCyTJR5EBqUS56y3b+iD1Va+enoqLfaRzZjiRIyXvpP45sR+q9MPijqATizz//7N69uyLv3p1D9+7dGxoa2v/5IKSScAgDKVV2djYAeC7zpAoO1n4j6ZE531W+5PmFGXYzACCVm6qUMKWj+hXiE+KpMkkZ9+bl5aVyU5ctW6bckDvQ+fPnGxoamI5C8RoaGs6fP890FAh1UphAIKXaFroNAEj2QEguITQwMGjrJZQw3cJ6v/VUYJ9/8Tn8s0xS8l4A+Pk/PwPAx598rKh4GHf16tVu3boxHYXidevWraCggOkoEOqkMIFA6o6MONBnjiKvxdZqkI30SR3Ia9I1InkvUVNTQ54alTAzRJdTVlYm6PpPb4oSCASlpaVMR4FQJ4UJBFIqcoslDz4Q9NcKIbXcQYiZmRkAVFdXU1vKysrgn90kQo3pMZNsg1RySN5LPHjwAACmTJki/zvsfPh8vso8wEnX1NT08uVLpqNAqJPCBAIp1YwZMwAgJjqG3GXLy8tjomOYDcl0rCkAxMXGUSGdPHESACynWIo2Jo9oxkTHUD0WpL7B3t5e6l7i5o2bADB6jIrM/UA0Nzerag9EczOuJIeQeDiVNVKqGXYzAoMCt4VuI8UQnYGFhYUj21EoJC9vLwsLC/KaFE+QDgxjY+P4hHj3ee5CjclDm5L3EmRMvW/fvh37rhBCqINhDwRStpCtIdQ0CYFBgbfv3mY6IoiOieZEcUhIjmxHThRn+/fbW2s8121u7qVcMirhyHaMT4iPiIyQcS8AkEU35CgORQihTkVDJTseUWtcXV0FIDiWdEx6UyXS0tDy8vYSutEiJZjrOlcDNJKSktp5HldX1+PHjyskpM7GxcWl/Z8PQioJeyCQUpHHKfPy8sivfD5/d/huALCxsWE0LoQQQm2DNRBIqZJTkp2dnD+y/oi+0ZHtSOZLQAgh1FVgDwRSKke2Y+aZTGqKBS9vr/iE+J9jf1alSREQQkgdYA8EUrYZdjNm2M0I2RrCdCAIIYTkhz0QCCGEEGozTCCQSlHsmhftl8pNFY2Hz+cfSzzm7OSspaHl7OQcEx1TU1ND3xsTHUPtPZZ4jD7NNkIIdRI4hIFQR+HxeM5OzkIb+Xz+Qo+F1OoYqdzUVG4ql8uNjokmk0ME/L8AMlcEtdeR7ZickqzMyBFCSCrsgUCoQ+Tl5U2eOFl0+39/+28qN5UTxXnx8kWzoPnFyxeBQYGp3NS42DgA4PF4ZKmt0oelzYLm0oelXt5eqdzU4uJipb8DhBCSBBMIhBRvd/juj6w/ik+IF91Flvb2XOZJHjxhsVjr/dYDwAa/DQCQfzkfABZ4LCBLeRkbG5NJLQsLCpUYPkIISYcJBFKY7KxsnxU+pAoheGMwj8ejdvF4vN3hu8kuMq5P7aKqFki5gLOTM9W9fyzxGNkrtj19r4QqASoqZyfn7KxsGQOmIw3E/rR20Q1+G5JTkue6zRXdlZySLLQuKP0RVrKgl6GhIbVl8ODBAFBUVNTatRBCiBkCpE5cXFzmuMyRsOC13D9iB+kzz2S2tis+IZ6+xLZQm4JrBdRcEbK0d2Q70vdSUQmdBAACgwKlBizLIuBCF5K8gLjkNmQ1EPIGxbaX8Vpy/MxxmePi4qKQvysJn1KXppDPByGVhD0QSDFItSAZuW8WNOdeygUAsj4C2ZV7KZfsKn1YCgDu89zph1++fJnUBGSeyQQAUj1A3yLUPjo6mqoSIDUEQr0LAJCdlb0tdFtgUCC92mBb6DbS0yAhYCFS84N2iouN6+pzcWpoaDAdQkdR4beGUDthAoEUgyxleeL4ieysbD6fb2Vl1SxoJutjkXutiYkJj8dL5abGRMeIHu67ypf05M+wm0G2rPdbL7SFblfYLqpKwHOZJ4i792dnZ9PPQ1UbnMk8IzlgZQreGLwtdFvI1pAuPRdn7969tbQ60dOziqKtra2np8d0FAh1Vkx3gSCl6rghjIJrBdQfFZmvmr5XdCgB/kos6K9l2SK6l75RtKVYUgOWsZtB6sciuRn5WAquFUhuL+O15PhR1BDGd999p6urK+GD6qJ0dXUDAwPb//kgpJKwBwIphoWFBbkr7wrblcpN/ezTz5ydnMlgQUx0zLbQbV7eXplnMguuFVRVVzEdLIDEgJWgpqaGlG3evnvbwsKC2k5SCnpNKHktNgPrPMzNzRsbG5mOQvEaGxsnTJjAdBQIdVKYQCBFsrCwWLd+XenD0swzmancVFLK4LXcCwAiIiNm2M2wsLBQyFdV8rQCQeZIEL3FkgcgSQFEa50KYgMWIrWDoa14PN4yz2UAEB0TPXr0aPouMzMzAKiurqa2lJWVAQAZr+m0bGxsBAIB01EonkAgsLW1ZToKhDopTCCQYpDnIfPy8gDA2Nj4/ZHvCzUgt3k+nx8eFt7+y8VEx5Acory8nEzBNGOGcKkEeTQgPCycmig6OytbS0Nrd/huWQLuIOXl5ZMnTrawsAjZGkKmnqQzHWsKAHGxcdS7O3niJABYTrFUTnjyGTRokKWlpaamSv3/RFNTc8qUKfRHahFC/8DwEApSro6rgSBPMQjhRHGaBc1i51MCgNt3b0uteBDdQl4L9TdQD2cKHSvaLeHIdqyqrpIcsAJ/RN8LJ4rT2n+MpAGp7qTz8vbqiH8yBdZACASC2NhY1UsgYmNjFfLhIKSSMIFQLx2XQDQLmumTNwQGBZIZk4TumoFBgbfv3iYFjORuTba3NYFoFjTvCtsFIvWPosfGJ8STsQxyRZI9SA244xIICXcs0qCquooTxSFphCPbkZr0upMnEE1NTePGjdPWVpHldbS0tEaPHt3Y2KiQDwchlaQhUMWRS9QaV1dXAQiOJR2T3rSzIvM/Sr4TIxnNdZ2rARpJSUkKOdvZs2dFB5K6ruzsbCyAQEgClepyRAgxyNbW1tXVVQU6IbS1tV1dXTF7QEgyTCAQQgpz+PDh8ePH6+joMB2I/HR0dMaMGXPo0CGmA0Gos8MEAiGkMD179kxJSWGxWF20H0JbW5vFYv3222+9e/dmOhaEOjtMIFAXI7UUETHLyMjo7NmzhoaG3bp1YzqWttHR0TE0NDx79qyRkRHTsSDUBWACgRBSMDMzs4KCAgsLiy7UD6GtrT1x4sSCggIylxdCSCpMIJAiaWlokackOkMYrQXD4/GEtvP5/JjoGGcnZy0NLWcn52OJx+iTSctO9MyUVG5qWz8ZEhV5F8Ebg8lMXHTHEo+RmH1W+FCTcEt+70pjYGBw7tw5Pz8/HR2dTt4VoaOjo62t7efnd+7cOdGpvRBCrWL6OVKkVB06D4TYaQ8Y+aH/hQvtolbioG+kJoqgOLId23pRsWcmP9TCXW06oeiMUvRlt0T3xifES37voj8KnAeiNSUlJQ4ODgDQCSsrSUgODg4lJSUd+iEgpJKwBwKpLNFkAgA2b9ostIXH43EOcgKDAksfljYLmksflnp5e6VyU0W/8UsmemYiLy9P7BIbkh1LPJbKTaVmxsw8kwkAnIMc+t5dYbuoOabiE+Ld57mXl5eLfdcMGjlyZGpq6s2bN1evXj18+HCmw/nb8OHD16xZU1RUlJqaOnLkSKbDQajr6TIjlAi13+7w3ZWVlUIb8y/nA8ACjwVkwSpjY2Mvby/OQU5hQaHQSldtPTPZvsFvA7m7tynU+Ph4AHBxdSG/zrCbAQCcg5yIyAhq71LPpSwWizT4/IvPAeD3jN89l3m26ULKYWZmFhYWFhYW9uLFi1u3btXW1jY0NDASia6urr6+vpmZWb9+/RgJACHVwXQXCFIqqUMYL16+AHGLL9BXtiRLYJO/H0e2I+k5p3/xFX3d2pbMM5nkzEIzUksYkhAiob3QRvIlXnQ0gcxmTZ8umgxGUOtrSP1p7cwkEjJDtoRoZflJTkmGvwYpWjsb/R9OxsspYQgDIaSqMIFQL7LUQJDkgL5mBLmh7grbRd3JhIi9sUlNIERXumrtnt3+BOL23dvwzyoBydmG7Pd7CWeW74Ri/znoH3LzXwUQ9KSHZH4SPnxMIBBCioU1EEjYp599CgDZWdnUFvKa3LScnZwBIPdSLrkDlT4sBYC29s+Tc24L3RYYFEjugi9evggMCtwWuo16moBOwi1Qlmvx+fwNfhsCgwLnus1ta5xMnZkyadKkXWG7HNmO7vPcjyX+bxETd3d3APjvb/+lwlDIIukIISQ7TCCQMAsLC0e2IxllJ+Lj4728vUhBALltm5iY8Hi8VG5qTHSMfFfJzs4GgPV+68koPovFWu+3HgDOZJ5RwHv4p/Cw8FRuqu8q3y50ZsoMuxnr1q9LTknmRHHc57mTZO7zLz4nKQV5XLNfXxzORwgpHdNdIEipPDw82E5sqT3bZFD/9t3bVBc9vUBBdOgBxPWc01+3tlcsxQ5hxCfEA63LRIFDGFLPrJAhDKFBCur5UrLqN9DKUCR/+GJ/HBwdFi5cyPRfJUKoS8IeCPXSr1+/Z0+fSW02+YPJAHAu5xwAFBYUUlsAICY6ZlvoNi9vr8wzmQXXCqjJDzotMrzykfVHQtMrUa9JPkSfOYq8FpsntenMikW6alK5qeRXAwMDz2WezYLm5JTkuW5zy8vLAYAqmJDR82fP8WEEhJB8MIFQL2PHji0qKhIIBJKbsVgsThTHa7lXTU2N+zx3ThSHelzQa7kXAERERsywm2FhYaGrqyvjpWtqaui/0h/rkNrf0M4aCMnI1MXV1dXUlrKyMgAgT3UyhUwxSU9ryAdIPjfRvffv3QeAIUOGyH4JgUBw69YtU1NThQWNEFInmECoFysrq1evXl25ckVqy09sPgGAwYaDAeBfs/4ltJdMsiS5do8UXebl5ZGWB/YfoO91cXEBgPCwcCqxyM7K1tLQ2h2+uy1vSDrJowkAYDrWFADiYuPIl/jy8vKTJ04CgOUUy3aeuT1ImeTxpOPkVz6fHxcbB399bkJ7i4uLjx8/DgDW06xlv8SVK1devXplbd2GQxBC6G9Mj6EgpWppaTE2Nv7W/1tZBt3Jl12hOSHIwL8oUjBBXottSfWuU6cSHSNwZDvSHx+V+0foQlL3ik4L3dYJFaQ2Ft0l9cyiUVGPub54+aK1qaxlD3vDtxuGDRvG9J8kQqirwgRC7WzatMnAwKCuvk7q7ZCUUtKLBMkPqd0j97Pbd2+TCZTIpMtC9634hHhynxO7lzSg1qHgRHEUkj3IkUCQgkQSqiPbkRPFocZWGEwg6B8gKToRjZn6h6AvkyHLyevq6wYOHLh582am/x4RQl2VhkDacDhSMTU1NaNHj161etWWkC1Mx9JRSA1jsyIqJMjZFHUqZZ4ZJH4Cm4I37d+3v7i4GNefRAjJB2sg1I6BgUFwcHDYrrDS0lKmY+kC8vLyqC/6XeXMUpWXl+8O3036ohgJACGkArAHQh01Njaam5sPfm/wb//9rRMustx+9Kco2/kVf3f47nXr17U7IuWdWep7b2xs/OLzL6oeV12/fl0l//URQsqBCYSaKioqmjZt2tdzvo45JOdUkp2ZAhOILkfqe/dZ4XM07uiFCxcsLCyUGBdCSNXgct5qyszMLC4u7ssvvxwxYoTUGZO6HHVLGugkv/dtoduio6J//fVXzB4QQu2ECYT6YrPZBw4cWLVqVXl5+YEfD2BvtmprbGz0Xel7+KfDBw4cYLPZTIeDEOrycAhD3XG5XHd3d8spljGHYoYPH850OKhDlJWVeS71zL+cHx8fj9kDQkgh8CkMdcdmsy9cuFD1uGr8uPGbgje9efOG6YiQIr1582ZT8Kbx48ZXPa66cOECZg8IIUXBHggEANDY2Lh///6QkJBu3botWrzo6zlff/jhhxoaGkzHheQkEAiuXLly8sTJI4ePvHv3Ljg4eNWqVThKhRBSIEwg0N9qamoiIyN/+umn8vLyPn36mJmZ9R/Qv3v37owE09jY2HVveAKBoLm5WVubgRqjhoaGZ0+f3bp169WrV8OGDVu8ePGKFStwvgeEkMJhAoHE4PF4eXl5t27dqq2tbWhoUH4Az549y83NtbOz09PTU/7V2y8vL08gEDCyTlX37t319fXHjRtnbW1tbm6u/AAQQmoCEwjU6fD5/IkTJ44dOzYtLa2LDqPk5OTY2dnFxMQsXryY6VgQQqhDYBEl6nR8fX3fvHlz+PDhLpo9AICNjc369etXrVp19+5dpmNBCKEOgT0QqHM5efKki4tLSkqKo6PwctVdS2Nj4/Tp05ubmy9evNitWzemw0EIIQXDHgjUiVRWVi5fvnzlypVdPXsAAB0dnaNHjxYXF2/atInpWBBCSPGwBwJ1Fi0tLTNnzqyqqrp69WqPHj2YDkcxoqOjvb29T58+bWdnx3QsCCGkSJhAoM5i586dQUFBubm5lpaWTMeiSG5ubhcuXODxeP3795faWELZh9T/VMmx+F80Qkg5MIFAnUJhYaGVlVVoaOiGDRuYjkXBXr58aWFh8cEHH5w6dUpqY0wgEEJdBSYQiHkNDQ1Tpkzp27dvdna2lpaW9AO6mnPnztnZ2R08eNDT01Nyy/YkAZhAIISUCYsoEfP8/PwqKiri4uJUMnsAgE8++cTPz2/t2rV37txhOhaEEFIMTCAQw37//feIiIiIiAhjY2OmY+lAoaGh48ePnz9//rt379pzHh6PFx4erqGhoaGh4eTklJiY2FrLrKysFStWkJYbN27k8Xhi9zo5OWVlZbUnJISQmhIgxJynT58OHjzYw8OD6UCU4d69e3p6et9++62ENpL/q0xJSRH9TzghIUH0WLEtz5w5Q/YGBQUJ7QoKClLQu0QIqQtMIBCTnJycjIyMXrx4wXQgSnLo0CFNTTnbjycAACAASURBVM3Tp0+31kByok9eX7p0ifz68OFD0b301w8fPiS/Xrp0CQC8vb0FAsGZM2dIxvDy5UuBQPDy5UuST1y7dq1j3jRCSDXhEAZiDIfDSU1N/fnnn/X19ZmORUmWLFni6ur673//+9mzZ3IcTv6jNTEx4fF4XC43Ojq6tZZsNhsAjh8/npWVxefzraysBAJBZGQkAGRnZwOAn58fi8UCABaL5efnBwCZmZnyvSmEkHrCpzAQM+7fvz9x4sQ1a9aEhoYyHYtSvXz5cuLEiZMmTfrll19E90p9kmLjxo2inxhpTz+Wx+NNnDiR7GWz2WvXrqVmsmrPk6IIIUTBBAIxoKmpafr06U1NTeq5TsT58+dnzJgRERGxfPlyoV2SE4jo6Ojly5d7e3u7uLj0799/8ODBhoaGIC6BIHg8XmZmJulgYLPZW7dutbCwwAQCIaQQmECoMsmrWTL4Tx8YGLhnz56CgoIxY8YwFQOzyCdw9epVU1NT+nbJCYTQXj6f37dvX2g9gSDKy8vv3bv36aefkr0rVqw4ePDgy5cvyRAGQgjJB2sgkLLl5ubu2LHjhx9+UNvsAQC2bNlibm7u6ura0NDQ1mOLi4sBgM/nh4WFtdaGPKKZl5cHAMbGxiNHjqR2ubi4AEBYWFhNTQ3ZkpWVpaGhER4e3tZIEEJqTZkVm4hBneSf++XLl8OHD//iiy9aWlqYjoVh9+/f79Onz/r16+kbJf8zJSQkiP2v+O7du0LHkscuhERFRZG9oo9xstns6urqDnuvCCEVhD0QSKl8fX3fvHlz+PBhycMr6sDExGTv3r27d+9OT0+X8RA3N7eoqCjyOigo6O7du9euXQOAnJwcoZZWVlbXrl2jEoWgoKCUlJRly5aRX7du3ZqQkODt7U1+jYqKiomJMTAwaOc7QgipFayBUBdiB8jJxocPH/r6+lpYWGzdulW0meiWrKys48ePHzx4UKi8X6qTJ0+6uLhwuVwHB4d2vyEV4e7unpWVxePxSDkkQgh1FdgDgSA6OprL5ZqZmcnSeOPGjZ9++unBgwcBgMvlfvrppxs3bpTlwMrKyuXLl69cuRKzB7rIyMgePXosXrwYU3mEUNeCCQQCMzMzgUDg5uYmtWVWVlZoaKjQJIahoaFC6yyIamlpWbhwoaGh4c6dOxUUtYpgsVixsbG///47yckQQqirwAQCgexjEHJPYhgWFnb+/Pn//Oc/PXr0aF+wKmj69OkBAQHr1q27ceMG07EghJCssAZCXUiogZBc8UDfIt8cRIWFhVZWVqGhoRs2bJA7ftXW1NT0ySef1NXV5efnd+/enelwEEJIOkwg1AVTCURDQ8OUKVP69u2bnZ2tpaXVnreg2h48eDBp0qSlS5fu3r2b6VgQQkg6HMJAklBzDRHkwT9SACGktTP4+flVVFTExcVh9iCZiYnJgQMH9uzZk5aWxnQsCCEkHSYQ6B/IKo5kBkM+n79//3763rZOYpiRkREREREZGWlsbNyxcasEDw+PefPmLVmy5MmTJ0zHghBCUmACgf7B3d0dAKytrTU0NPr27UuWWqDY2dmRxy4MDQ01NDQ0NDQ+/fRTNpvt4eEheqpnz54tWrRowYIFsjzfgYiIiIiePXviU50Ioc4PayDUhYw1EACQmJgYHx/P5XKjoqKWLVsm2iYxMTEnJ4c8dhgVFeXs7Cx2EkNnZ+fCwkIej6evr98Bb0hl5ebm2tra7tmzZ+XKlUzHghBCrcIEAnUIDofj4+OTlZVlY2PDdCxdz+bNm3fs2PHHH3+Ym5szHQtCCImHCQRSvHv37k2aNGnNmjWhoaFMx9IlNTU12djY8Pn8/Px8nDkDIdQ5YQKBFKypqWn69OlNTU0XL17s1q0b0+F0VRUVFRYWFh4eHnv37mU6FoQQEgOLKJGCbdq06ebNm0ePHsXsoT2MjIw4HM7+/ftTU1OpjU+fPmWz2ffv32cwMIQQIjCBQIqUm5u7Y8eO3bt3jxkzhulYujwXF5f58+dTT3X+97//NTU1TU1N/e2335gODSGEcAgDKQ6fz584ceLYsWPT0tIkzFmJZPf69evJkycPHz587Nix+/fvJ5/qp59++vvvvzMdGkJI3WECgRTGw8Pj999/v379uqGhIdOxqI6EhARPT8937941NTWRLd26dautre3ZsyezgSGE1BwOYSDFOHny5NGjR3/66SfMHhTo559/Xrx4MT17AIB3795lZWUxGBVCCAEmEEghHj16tHz5cl9fXwcHB6ZjURFPnz61t7dftGjR27dv6dkDAOjo6KSnpzMVGEIIETiEgdqrpaVl5syZVVVVV69exUkLFKKpqenjjz8mK5KINWjQoKqqKmWGhBBCQrAHArVXWFjY+fPn//Of/2D2oCja2toZGRmenp7QyhLqT548uXnzptLjQgihv2ECgdqlsLBw48aN27Zts7S0ZDoWldKnT5/o6Ojjx4/r6enp6OgI7dXR0cFVvxFCzMIhDCS/hoaGKVOm9O3bNzs7W0tLi+lwVNOTJ08WLlx45syZlpYWaqOGhsbUqVMvXbrEYGAIITWHPRBIVidPnqypqaFv8fPzq6ioiIuLw+yh4wwaNCgjI2P37t06Ojra2tpko0AguHz58vPnz5mNDSGkzjCBQLL67rvvyCRR5NeMjIyIiIjIyEhjY2NmA1N5Ghoaa9asKSwsHDNmDJVDAMDp06cZjAohpOYwgUAyKS8vLy4urq2tdXR09PHxqaioWLRokYeHh5ubG9OhqQszM7MrV66sXLlSQ0NDU1NTQ0ODvkwGQggpGdZAIJlERUX5+Pg0NzcDgLa2dt++fbt163b79u0+ffowHZraOXPmjLu7e01NDYvFev78OY4fIYQYoS29CUIA9C+7TU1NL1++bGlp2b1798aNG9XqBsbj8fLy8oqKimpra9++fctUGNbW1leuXKmsrPzXv/7Vv39/psJQAXp6eoaGhhYWFra2tjiJKkJtgj0QSLrGxsa+ffu+efNGaLumpuYHH3yQmJhoYmLCSGBKU1NTExkZ+dNPP5WXl/fp02fceLN+/ft1796d2agqHz168+bPUaNHMRtGl1ZXV/e48nHxnbvNzc3W1tbe3t5ubm70QhOEUGswgUDSZWdn29nZid2lpaXVs2fPEydO/Otf/1JyVMrR2Ni4f//+kJCQbrq6HosXfvX17EkfTO48a43++eefOH9X+7158+bsmeyEuKPcX1NMTU337dtna2vLdFAIdXZYRImk++2337p16ya6XUNDo7m52dXV9aOPPlJ+VErA4/HMzc2DgoJWrF5568Hdrdu3Tf7wg86TPQAAZg8K0bNnT3u2Q+yx+Cs3rw0dZjRjxgx3d/fXr18zHRdCnRr2QCDpRo8eXVJSIrRRR0dHV1c3OjpaVR/E4HK57u7uH075MCImatjwYUyHg5QnI/2/XkuWDXnvvZSUFCMjI6bDQaiTwh4IJMWjR49EswdNTU1ra+vbt2+ravYQGRn51Vdfucyb++tvqZg9qJtZ9p/n5F1419Q4derUoqIipsNBqJPCBAJJkZ6eTn/OQltbW0tLa+PGjdnZ2UOHDmUwsI7D5XJ9fX0DN208wIkQXYcCqYNhw4dlXTg74n0TR0dHoQlYEUIEDmEgKZydndPT05uamgBAW1t72LBhSUlJkydPZjqujlJUVDRt2rQv58yOjOEwGEYvTV0AqG8R/6So5L2MhKRkN3jXrSZZSv58xCKHiG0gerbaFy9srT/uy+qbk5PTs2fPdsSLkArCHggkSWNj45kzZ5qamjQ1NQHAzc2Nx+OpcPbQ2Ng4Z86cyR9O3hd5QOEn3xe+R8KNrRPqtAE/rXlqNUme1V/t2Q4AUFFeIWN7/X79jiefunfv3tatW+W4HEKqDRMIJMmFCxfq6+s1NTX19PR+/fXX2NjYXr16MR1UB9q3b9/Dhw8jYqI6YuQiYIO/ws/ZoTptwKGbQyQ3qG95K/STV5gPAP+3awfVZvuuHUJtxJ5qtOmYjSGbd+/eXVxcrMC3gJAKwPlSxOgksw12BtevXweAAQMGTJky5ejRo0ePHlXCRbt3766vrz9u3DgrKysLCwslXJGoqanZunXrGr9vsGqyg9zgXc/OzFq9fm17TrIvfM/jyso2HUJ6LA5wIsikWw/u3QcAi0kTZTzc03vZoahoPz+/lJSUtkaLkArDBOJvZLbBQ9FRFZWP9Xp0MzXs3be7hq4aTdMsxpNy/rhBvUz6N0PppT+VddGXzXCnQXA4+nXdn++Mhry3dNnyFStWGBgYdPR1IyIiuunqrvffIKENVQdwPDFpkbsHAByJj531xaw+LBbVJifr7KkTJ2MORtmzHXzXrLaxswXaoDu9koDcUMkXfXu2g+s8Nxc3V/mCF3tR6nJlTx4lxB4N2OAv9irHE5OSEhLTuWn+QQHzFsyfaDpe7Fumt1/k7tGmgC/n/XH057iYg1EAQBIIqWUKrb3NgA3+eYX56dw0Wa5LRB740Z7tsHjZUtkPodPW1g79/v9mOzoXFRWZmZnJdxKEVA8WUQJQsw1u3qSj0TzXvJ+DWT/zwb0703RBzHjX1HLv2Z/jBjEzZiEQwPWq12lFL45df9Eo0ArevGXVqlUd90yEQCAYPnz4nHmuW7dvk9CM3PaOJ59ycZ5NbbRnOxxPPkVehwRv3hG6nX6If1BAcMhmoftlfcvbdG4a/STEkfhYcktuUxFlaxelWtqzHeh3XOoqYo8Vq77lLTnV9l076EMb9FOJesXnXzh34XDMoXRumqf38llffG45dcpAg4EgVwJRUlwy0XQ8uaLsFZ05WWftP5uVnplBJVX7wveQLOTK5XxfLx8AOMCJ+Np1Dj0LFCIQCMxHj/vqy6/CwsKkXhEhNYE1EMDj8czNxgUG+C+e3Ddvtfl3M40t3sPsAQCgm7YmU9kDAGhogMV7vb+baZy32nzx5L6BAf7mZuN4PF4HXe769evl5eVffS18RxfrcMyhO2X36lve3im75x8UkM5Ny8k6CwA5WWd3hG73Dwqoqq2pb3lbVVvjHxSwI3T7Dd516lZHDbeT7CH74jmy5U7ZPQAgvRptIuGiVJsJFuZkb3pmBgAkJSQKHUu9HU/v5VScQgETL/kvyalIzkSdSkhFecXxxKTB+gaHYw65znO7U3Zvb8R+e7YDyR5AXJmC5FqEV3z+dxv8/YMC2tpJc2DvPnu2A5U9UKwmWZLsAQB8vXyWLlz8is9v7SQaGhrOX3/F5XLbdGmEVJu6JxBcLnf6NOsBLS/OrjTfYGfUQ0fdP5BOqIeO5gY7o7MrzQe0PJ8+zbqD/id+6dKlPn36TPpApgdM/m/XDiNjIwAwMjZa7LkUAE6dOAkAOWfPAsDa9d+Q77J9WKy1678BgOzMLNGTkJvlCBOTG7zr6dy0wzGH5Itclouu8F1J9pL7KNUbQY5d7LmUeju+a1dLvhx1KvJEQ2tDCabDRy5y9zgSH3s8+ZSLmys5f3vsCf8hnZu2wndlm466nPdHOjeN/BtRSA8KlbrVt7w9Eh+bzk3L+C1DwqlsbG2Li4tfvHghR/AIqSS1HsKIjIxc5evrNtng/+yHa2thn0Nn19Qs+C6tNLHw6f4DB1asWKHYk69Zsybv8h/ZF89Jbia255zaKLlbXvRYscMH9IkKRM8ptBekjQWIXlT0WMlvh9or+VRCKsor8i5eokolrKZZC+UQbRrCIFUX2RfPTbGaKvXSdGt8VsUcjKqqrZEwPEGdkD4UJaryUeVoY5Pc3Nxp06ZJPhVCakJ9v3BzuVxf35XrbYfsZI/A7KFL0NbS2Olkst52iK/vSoX3Qzx//pzqXVeOw9GHdoRu9/Renp6ZkVeYX/bkkTKv3tGMjI1c3FyramsWey5NSkg0HT5yjc+qdG7a05qncpyNjOzMmPZJL01d8kO201+LelrzNOZglH9QgNTsgZBcmDlg4AAAePbsWRviRkilqWkCUVRUtMB9nutEgzU2nWgy5iGbLg3ZdEmxLWVR19B89Gr1ovg7QzZdWhR/J/nGs7qGZoU07ghrbIbO/8DQ3W2uYush3r17p6sr66RJ9JmISopLAMA/KAAASAEBKRGQOq5PBuD3Ruy3sbOdYGGuqytmvVMQqRUQbdCmiwohYdPfjuyTLMmiD4tFvtaTrh0X59nDB/3vv7i21kDIofTBAwD40FJ4yikX59m9NHXpFQ/kNVX/IRb582hoaFBUeAh1deqYQDQ2Ns756ktzQ90djiOYjqVT2Jb58NuUB6fv1gLA6bu1PidKVp0SXj1LvsYdJPSL4RMH93BzmdPY2KjkSxOHYw6RG21FeUVC3FEAsLG1BYDZc74GgD3hP1Dfs3OyzvbS1N0Xvoc6VqhSj+Qfr/j8PeE/yBeMLBdtDQmb/nZESzEklBbKborV1L0R+/MK87fTpnKSXWtJhuSEo+jGTQAYNWa00HbXeW4AQK94IK/JJ4kQkpE6zgOxb9++sodlR1aad7aRi8ot1gpvKdWtJ/Wx+dVrbIbO/8BgCEu3kv92//nK2PzqB88bTPp3b0/jjqOtpfGD84hPfry+f//+devWKe26dKbDR1Kv/YMCSHGijZ0teQKCXtlgz3aY5zEf/nqWcrC+gaf38r0R+4/Exy5y9xCadAEASopLyHxHMpJ8UTmOpZ+EHrDsIbVmgoX5BAvz9p9HLNGqiGuF1wCgb9++Qi1nfTHLnu2wyN2D/swL9Y+IEJKR2vVA1NTUbN2y2dt6kFHfzjjJv/IVVr4GgDkWA4ewdAFgCEt34YeGAHDj8et2Nu5Q77G6eVkZhmzexMhKicEhm8k3aXu2Q3pmBplxgdp1JD6W6gw/wImIiOaQ6orgkM1kO5lI0cXN9QAngjTzDwq4ducmmW75Qo6UQk6x8bR2URmPJY9UkDDou+gBdzlk3irRz6EPi3Xo58PUuyZlKPR/RISQLNTuKYzNmzf/+MPOvNXmDD6xmXzj2S83np2+W7vGZugci4Ef7ysEgMot1qSsgfQukNe8bz88yXsakvFw5hj9ryYMcJ4wgJyB3lKIhNoIse13ZlXszXl0J2CKXvf/Tbr5rL7RYueVNTZDv7UTfvSuTY072p+NLVb7rvuu89+0aVP7z+bq6toMLbHH4iU361QrUnaQXpq6iupyUDG9NHWPHTvm6irnbKEIqRj16oEQCAQ/xUTPNe/HYPawM6vC50QJqSHYm/OIZA+t8Uu+H5LxEP6qNki+ofgK8L05jwCASggAYEAvHWp7exp3tB46mnPN+/0UE638S6sM8hTD5bw/yK+v+HxSOTH9k48ZjQsh1AWoVw3E9evXKyofOzhOYCqA3FL+3pxHojUErbUfN6jX/tmj9Lpr5ZbyXY/c+uXGM6oTojUKLI/o/OzH9fvxwo3r16+bm3fUyLpqI3Nyz5j2CX2jPdth1hezmAoJIdRVqFcPxKVLl/R6dDMf3JupAHJLXwEAyR4AYAhLd7n1exLaL5k6iHzd/2gECwBIvwWiWLzXW69Ht0uXFPZEq7ohNRzkYU4A8PRefiQ+9tDPh2WcOAEhpM7Uqwfi9u3bow16MbjOBenqJ9kDIfnhBTJA0CZtrYHo0jQ0YLRBrzt37ijtiqpX/WBjZ2tjZ4slhAihtlKvHojnz5/376Feb1kqMpUWfTIo8lrsFFttaqwc/XpoPn/+nKmrI4SQ2lKvHoh3795105LerOOssRm6N+dRJf8t1QlRyVfwN9q2djOMGdgDAJ7WN1KlkRUvGwBgCEvMxIhtaqwculo4OeDfZH9IRLGPk7zi808mnUhPTUvnppHFL2Z9Mau1cRCxk0+rXtcOQioPv44r1Ucj+gDA0as1JG+o5L89epWBaQzoRg3sAQAneE+pkFJvvQCASUPEVIq0qTFSHxsDgny9fMhaEunctEXuHksXLhbbUrFTZSOEGKRePRCM+2gEi3RCMPLco1jjBvWaOUZfKCQPS8Nxg3qR1/Q5J6Q2RsyS/Xu8Ar/x3+BdJ2tWkWXBK8orwr7fGXMwSsKUmtt37Vi9fq2iAkAIMQJ7IJTtWzujiDmjZo7RB4A1NkPPr57EdEQQ5vz+TicTEtLMMfo7nUwCPxumkMZIHVy5nA8A8xbMJwt2GxkbeXotA4BrBWLmOHlw7z4AWEyaqNwYEUKKhz0QDHCmzSlJeFgawj/LF0RLGSTvbY8BvXTmf2A4/wNDsXuFriW5MVKO44lJSQmJ6dw0/6CAeQvmkwU16lve0isbyOuyJ48SYo8GbPAnpQkubv+bRVFCDYSEBbLFtq+oqAAAQ0MDasugwYMB4PatW/K/Q4RQp4c9EEpFluEueFRHfq1raOZcfAwA1sP6MBoX6kpCgjcvcvcgBQc7QreLLsdF57PMK2CDP/xVmnA8MUnh8ZCFuOglk2T5CbELdPEKrwFAv/79DkcfIvNgHo4+pJAFPxFCSoYJhFIdcTcFAHb0TZJJmG6/TNa5sBulz3RoqGvIyTq7I3S7f1DAnbJ79S1v75Tdo9bQEmuChXlVbU19y9v0zAwASEpIlHoJ0bWzhRbRbj+rSZa+Xj7kta+Xz9KFizGHQKjLwQRCqWaO0U9aNI6aNcHD0jBizigyWTWzgaGuIufsWQAg5YoAYGRs5Lt2tYT2K3xXkr4BslY16bdgEOkOyb54jkpKjsTHpnPTMn7LYDYwhFBbYQ2Esn00gvXRCJby165EqoGMC5DsgWjtSQdCxkW96dpaA9EmomdwcXNd5O6RlJBI1WcghLoE7IFACLULWUqDPgZBXlNLbMiC8a4RhFBbYQLRtZFaCqaj+IdbT+qFQqpraD56tXpR/J0hmy4tir+TfOMZfTJs1CbkrkyfjknhUzO1tQZi7LhxAFBd/feUaA/LHgKAkZGYbjYX59m9NHVFsw3JlRwIoU4IEwikSM/qG2dGXhfauC3z4bcpD8hSoqfv1vqcKFl1qoSJ6FSBja0tAByOOUTyhoryisMxh5gNyXSsKQAkxB2lQvrl5CkA+HCKpWhj13luAECveCCvZ8/5WjnRIoQUBWsgkCKFZQt/G771pD42v3qNzVCyiHkl/+3+85Wx+dUPnjdIXokUiWVjZ+sfFLAjdLvYhyQZMcHC3J7tIBSSp/fyCRbm5DV9zolZX8yyZzsscvdY5O5BNfYPCiA1ngihLgR7IJDCcC4+fvLqndDGwsrXADDHYiBZP2wIS3fhh4YAcOPxa+VHqBqCQzYfiY+1ZzsAgH9QwLU7N5mOCCKiOQc4ESQke7bDAU7E1u2hYlv2YbEO/XyYit/Te3l6ZgYuJo5QV4Q9EPLLLeVzi57H5lcDwBqboY7j+lFLQtx6Un/+AT8k4yEAzByj/xVt6klqaYnTd2sXxd+ZOUZ//geGZGbo5BvPfE6UAEDEnFGi7el77Ubpt/bkJxXVzDH6y6wHfzSCJbpLNGA6CUUVEmbAzC3lh2Q8PL3CnAxV/H0I/x0ADOylQ20x0OsGAHef/tnaqZBULm6uQs8skBoCepmCaMmC5L3tMdBg4OJlSxcvWyp2r9C1+rBYovEjhLoc7IGQ0+m7ta5HbpGbMQDszXk0M/J6bimf7JoZeZ1kD/DXqH/yjWdChy+Kv0O9uPWkfmdWBckPAEBse/re1moIdmZVUFGRCHdmVUgNuP0ePG9wPXIrYs4o0YyELLtFT3cG9NKhtqO2IrM3Xs77g/z6is/fF74HAKZ/8jGjcSGE1A72QMiJ3P4vr5tMeuYLHtWxo29yi55/NIJFdnGXjZ88VA8AKvlvp+wu8DlRQl//orDy9Z2AKXrdtXJL+a5Hbs2MvL7GZih9i1D7o1erybXICuB7cx7llvLpvQsAkFvK35vzaI3N0BXT3tPrrlXX0Bx58fHenEekp0FCwEJvra0LbdQ1NIdklK2xGSq0wAfqCMeTT7k4z54x7RP6Rnu2w6wvZjEVEkJIPWEPhJzIoENq0fPcUn5dQ/PkoXqVW6y/dzQBgMot1pVbrI31u996Un/6bu3RqzWihy+ZOoh8Kafu3+SuT99CFzxrOFVDMP8DAwDgFj0XapNb+op+Hr3uWiumvQcA5x/wJQfcTpEXH5++W7tk6qD2nwpJZc92SM/MoKZY8PRefiQ+9tDPh+lLUSCEkBJgD4ScvrUzOn23lqpyEKo22JlVIbmLfgCtJoCQPJs1/YEFkknE5lcL3f7JFU23XxY6NiTjode09yQHTNemGojkG8/25jziLhsv+o5QB7Gxs7Wxs8XCQ4QQszCBkNO4Qb0qt1hTxZKn79bOHKP/rZ3RuEG9jl6t3pvzyMPSkG3WX7+HtoFeN4udV5iOV1LA7TktqcxgRws/CEDVfq6xGbo351FdQzOVIZFZpKgFQRBCCHVFmEC0y7hBvcYN6uVo1r/sRYPrkVun79ZWbrH+NuUBAFDdAwqZdbGS/5Z0PADAg+cNIO4G7GFpGJtfTQop2hSw8LXaWAMh2ZiBPQDgaX0jFVXFywYAGMLqpsCroPagz9PAoFd8fsZvGUkJiencNHu2g+s8t1lfzKKGZl7x+SeTTqSnpondixBSPkwg5PT/Uh/E5leTSknq1k5HJkoilYztv9zRqzXUREwneE8B4KMRfYTasM36x+ZXR158vGTqIDKgQOoxg2cN85r2ntSA5SOabVB9D+TXUQN7AMAJ3lMq/tRbLwBg0pDeiooBqYCnNU99lnlRK2Kkc/+XKEREc8h6YBsDgmIORgntPZ58irGIEVJ7mEDIyXXiwNj8aqGu+51OJgAQMWeUz4mSj/cVCh3SzrkXp+wuoF6vsRkqWsHw0QgWGS+gl1/MHKP/tcVAyQF3qHGDes0coy8UlYelYTuHTpCKSU1OSeemHYmPpeaHOJ6YtMjdIzU5ZfGypTd412MORvkHBZB1zCvKK8K+3xlzMKqkuETyYqQIoY6DT2HIafJQvdMrzKlxhDU2Q4+4m87/wBAAnCcMoG7Ma2yGnl896fQKcwC4wQ6p+wAAIABJREFUVCb/pAvf2hkFzxoGADPH6CctGtfaauDf2hlFzBnlYWlIft3pZBLm/D7pjZAQcEcLc35/p5MJeQxk5hj9nU4mgZ8NU8J1URfi6+UDAPTZpchrsv3K5XwAmLdgPlnH3MjYyNNrGQBcKxBO0xFCSoM9EPIj9QRi7+XzPzAUujdTXfqy1ByIrULwmvae17T3pLZ0njDAecIAsc9nSghYgURDGtBLR/QDQURO1tlTJ06Sznn/oICvvp5NLSFxg3c9OzMrYIM/AJBRf+r+SlUtpHPTXJxn27MdFnsuJZNDky/uAED/Nk+1p++VUENARWXPdvBds5q+UIWEgOnIFcUSW2xhz3YQu6I3eVMVFRUAYGhoQG0fNHgwANy+dau1qyCEOhr2QCDEmHRumv1ns6ih/R2h260mWeZknSW7rCZZkuyB/LrI3eN4YpLQ4S7Os6kXN3jXQ4I3U4tUiW1P37t04WKxUYUEb6aiIhGGBG+WGnA7LfZcCgD0gMlrsp0s00VPd0hhROdZUQwhNYQJBEKMIbf/O2X36lve1re8zb54DgBOnThJ7cq+eI7sulN2DwDoK1gCwJX8/KramvqWt+mZGQBgNckSAOhbhNofjjlErnWn7J5/UEA6N0303p+TdXZH6Hb/oABynqraGrL45w3edckBCyENxP6I/SjIBFlJCYlkru5emrpJCYnpmRmkBwIh1AlhAoEQY8jd8ZfjJ3Oyzr7i86dYTa1vebs3Yj/8dQMeYWJyg3c9nZt2OOaQ6OErfFeSL+XUEMPa9d8IbaH7v107qBoC8s1e9N6fc/Ys/Tx9WKy1678BgOzMLMkBtx+v8Bp9FCOdm/bg/n2FnBkh1BE0BAIB0zEoj6ur65+3sjiuo5kOBCmMV1Jxj3F2SUlJ0ptK5Orq2gwtscfiFRKVjG7wrpNuAwAQrTYICd4s2kVPvsGLztwgeYvYmR6ojaItxapveSs5YNGTt3Ye0Y2kOEP0KQyyRXL8rV1I4Xpp6h47dszVFdcRRQgAeyAQYtAEC/P6lrd5hfnbd+0g5QWklAEADkcf2hG63dN7eXpmRl5hftmTTrF4qYSA24mMtog+hZGUkAgAZO2PV/y/n2Mir6k1QRBCyodPYSiS0BxKzIZBiAZz60n9zMjr9O11Dc0pRc9O360l81t/NWGA3Sh9yWtzdOixkuNXPRMszCdYmH/l8vWDe/ftP5uVzk2rb3lLHl+kRgfo9065VZRXkCEMACgpLgFxN2BP7+UxB6OqamskTPIoNmChNorqGCCDGmPHjQOA6uq/o3pY9hAAjIw69pEihJAE2AOhXp7VN86MFP6+uC3z4bcpD07frQWA03drfU6UrDpVIuMJmTpWNazxWdVLU/dy3h8AYGRsZDLyfaEG5Db/is/fE/5D+y93OOZQRXkFAFSUVyTEHQUAG1tboTaz53wNAHvCf3ha85Rsyck620tTd1/4HlkCltv2XTvItahUiTyFQbabjjUFgIS4o1T8v5w8BQAfTrFUVAAIobbCHgiVJfa7e1h2hdCWW0/qY/Or19gMpaaa3n++Mja/WpZ5MzvoWBK5hEVBVcb8hQtiDkbNmPYJfeMBTgQAHImPXeTuMdF0vNAh7Zx70XT4SOq1f1CAaAWDjZ0teeyCXn5hz3aY5zFfcsDtNM9j/vlz5+w/m0XfSF13goW5PdtBKCpP7+Vip6BACCkH9kCoEc7Fx09evRPaWFj5GgDmWAwkC2QMYeku/NAQAG48fi31hEwdqzKmWE3NK8ynxhH8gwKOJ59avGwpALi4uVI3Zv+ggGt3buYV5gPAhZxzcl8uOGQz+UJPnplsbUHw4JDNR+JjPb2Xk18PcCKoBSkkBNxOAw0GHvr58JH4WPKghz3b4Uh87KGfD5PrAkBENOcAJ4Lae4ATsXV7aPuvixCSG/ZA/ENdQ7Pp9sseloZCMzmSlajIQpfUitgAQEbunScMED2VaD2E6JbcUj636HlsfvXMMfrLrAeLLm9BP1As2UsEckv5IRkPT68wJ0MGf5+B/w4ABvbSobYY6HUDgLtP/5R6TqaOVSWknkDsvXzxsqVC92aqsECWmgOxVQir169dvX6t1JYubq4ubq5in8+UEHA79WGxyHXF7h1oMFD0A0EIMQh7IP5Br7tW8KxhsfnVz+obqY3P6htj86uDZw3T6651+m7tzMjrJHuAv0buk288k+NaO7MqXI/cis2vJudxPXJrZ5bw+IKiPHje4HrkVsScUaJLWJE1ruhlj2TtDPraV61h6liEEEKMwx4IYR+bsAAg9wGf6lfIfcAHgJlj+gHAovg7AEAWxQaASv7bKbsLfE6UiO2EkCC3lL8359Eam6Erpr2n112LrPq9N+eR47h+ovf4dj6JUNfQHJJRtsZmaFuDRAghhFqDPRDCyPLTv9A6FX658czD0pBUBVZusa7cYm2s3/3Wk/rTd2uPXq2R7yq5pa8AgGQPAKDXXWvFtPcA4PwDBTytJyTy4uPTd2uXTB2k8DMjhBBSW+rVA6GhoSHLxJvLrAe7HrlFHiV48Lzh9N3apEXjqL07syra381OzmC6/bLQ9pCMh6JLbranBiL5xrO9OY+4y8YPoFUbqBKBADQ0NJiOorNT5nSNCCE1oV4JRO/evZ81S29mPrg3AFwq45v0704eCiBbAODo1eq9OY88LA3ZZv31e2gb6HWz2HmlI0NuL58TJQDAjr4ptJ2q6FxjM3RvzqO6hmaqHKGuoRkA1tgMlXpypo6lq2+CQXp6bToEIYRQ+6lXAjFo0KCLdU1Sm+l119rpZPJtyoNZpv18TpTsdDKhbnLfpjwAAOoZDXLPkwW9KhMAPCwNqcc6pB7bobMxjhnYAwCe1jdSkVS8bACAIaxunfZYuievmz4a1IVHZ5S/oIOEMAgSzCs+/2TSifTUtHRumj3bwXWe26wvZkmYnrI1ZPkMsW+QrELepvdOoiLTdPoHBcxbMF9oVozjiUlJCYnp3DRP7+WeXsvIRBGi7w4h1H7qVQNhbm5+v7ruz8YWqS2th7MAgPQu2I7sK7T3wfMGACCVj62dYeYYfQAoeFRHWv70xxP6XrZZfwCIvPiYSixyS/lDNl3itH5C+ZCiDfoPfTsAjBrYAwBO8J5W8t8CQCX/beqtFwAwaUhvqSdn6ljKm3ct96vrJkyYIPshSEYbA4J8vXzITNLp3LRF7h5LFy5u60me1jylFt8ScoN3nSwO3iZLFy4m2QMA7AjdPtF0PH0lDhfn2YvcPUjMMQejrCZZkuksEUIdQb16IGxsbJoFgvMP+P8aoy+5pUn/7qSTwMPSkMx0RETMGeVzouTjfYVC7UXnXvxqwoDTd2upsYPgWcPoez8awSJ9+PRyiplj9L+2GCjH+2oPUjQqFImHpSF5GETy6h4dd6yMLpTymwUCW5H5mJF8qG/nN3jXYw5G+QcFLPZcamRsVFFeEfb9zpiDUW2dBzN0c4jY7Zfz/hCazlIWxxOT0rlpBzgRZDaInKyz9p/NiuFEk/kqyN7tu3Ys8lxMekrIep5W06ylLjSKEJKDevVADBo0yHrqlFPXn8vSmHQSuE78xx3decKAnU7/G79YYzP0/OpJp1eYA8ClMuGnJ5wnDIiYM4r0Q+x0MhEtjfzWzihizigPS0Py604nkzDn9xkpdQxzfn+nkwkJdeYY/Z1OJoGfDZN6FLPHEid5z6ZZTTU0NGzTUUiqK5fzAWDegvlk8S0jYyNPr2UAcK1AOHWWYF/4nseVlWK3z5j2yZH42LZGRVbm/Np1DvmVzMMdczCKvpfKHgBg1hezACAz4/e2XgghJAv16oEAAG8f3yWLFpU+bxghbbGGj0awxH57nv+B4fwP/nHHoo8L0Lc7/3OSStGzkQZCs152NNEwBvTSEX1TVGPJa1J00LGyKH3ekHGn9qcjK+U7XFFe8fmD9Q08vZcLzdu4xmcVtazlDd717MysgA3+AEDqCcTOtyhaDyG6JSfr7KkTJ2MORtmzHXzXrBZdzIJ+oFiyFAFUVFQAgKGhAbVl0ODBAHD71i2px1JxBmzwzyvMJwMKdAEb/I8nn7JnO5AlvGV3PPkU/VdyZioRIb/SqzTI62uF19p0FYSQjNSrBwIA5s2bN3ac6ZbfO2rORxVT8KiO6nFR5rGy2JxRPmrUSDc3t467hCz6sFjbd+2IORhFLV8JAE9rnsYcjNq+a0cfFiudm2Y1yZJkD/BXPYF8Y/MhwZvtP5tFvnOnc9PsP5sVErxZEW9CGFmzin4zJmtS0NeykqCkuMT+s1lH4mPFLnZV3/KWLGkht33he3pp6ro4zz4SH0ulYuSc9HXPyWuqiwIhpFhql0BoaWnt3Xfg9J1nWSW10lt3ZUM2XWr/gpb55XVy9xDIfawskWeV1Gbeff5j5EFtbeZ70WZ8ZgcAZ7OyqS3k9RdsBwAgpYLZF8/Vt7ytb3l7p+weALT1yzcA5GSd3RG63T8ooKq2pr7lbVVtDVk2k15FSCHXEvsj77uU1Ss+/7sN/v5BAa2tatF+FpMmbt+1g/RhUKmY6zw3AMj4LYMKQyFroCOEWqN2CQQA2NraznOb+01yWcVLfKBLCtHSDeUcK1nFy7ffJJfNc5vbSconyWLTZAyeSEpI9PReTuoNyW17hInJDd71dG7a4ZhD8l0l5+xZAFi7/hvSMdCHxVq7/hsAyM7Mav9bUKA94T+kc9NW+Hbg0JKNne3q9WuPJ586wIlY5O6Rk3UWAGZ9MYukFL00dXtp6g7WN5B2GoRQu2gIZJmaUeW8efPG9pPpLx/dS1li2qc7819hkexev23+8vCdbgOML1y81Lt3G575lGzu3LmNLU1xSQnyHU6eCLh25+ao0aNKiksmmo5Pz8ygChRCgjeLdv7THw0QfU2I7hVLtF+hrTUQQpcWOzuFLFNWkAcfsi+em2I1VepR7Z8DgxSg2LMdSHnE05qnqckpvl4+VKGJ5I+3TQQCQW+t7klJSS4uLnIHjJAqUcceCADo2bPnyV+SX0P3fyeU1L6RPrUU6iRq3zR5xBe/bNHlpqUrMHsAgN69e9fX18t9+KQPJgHAhZxz8NejCmQLAByOPrQjdLun9/L0zIy8wvyyJ11guVH/oAAQV09AtktAhmZmTPuEdANQeQz9tQKRzhiqTpMs+V3f8vZ48ikXN9eK8goA2L5rh0Ku9bquDgD69OmjkLMhpALUNIEAACMjo9NnsqtberN/un3v2Z9Mh4Oku/fsT/ZPt6ube58+k21kZKTYkw8aNKiyQv5bex8W6wAnwtfL52nN00XuHgc4EVQFIpn4aG/Efhs72wkW5rq6sk61Sa/KBABP7+UAQAogpJY1tLMGYuy4cQBQXf33WnEPyx4CgMI/9jZxcZ7dS1OXntaQj4h8MqJ7H9y7DwCDhyhmKO1x5WMAGNSVpz1FSLHUN4EAADMzs8v5VweZjHM6dPvwH0+aWtRxNKdLaGoRHP7jidOh24NMxl2+ctXMzEzhlzA3Ny++W/zmzRu5zzDd5hMAGD5oKAB8NutfQntLiktAWmUfeY7gct4fpGXkgR/pe2fP+RoA9oT/QCUWOVlne2nq7gvfI3fMrTEdawoACXFHyZf4ivKKX06eAoAPp4ifVpLSWr6ikPpNUiZ5MukE+fUVn58QexT++mSE9pYUl5w6cRIArKYpZib4awWFOjo6pqamCjkbQipATWsg6BoaGrZs2fLD7vAR/XsEfvqe7Uh9TVzcsdNoEcDZe7XbMitLXzR8s279pk2buneXMoGHfJ48eTJkyJDEU8cdnBzlPgmZ+0FoTghSFiDamBRM0AfmhVpu37WDPPxJ3XpFayns2Q4R0RzyjGV7iNYHuDjPFprCgXpfbSomaFMNhNQzi0blHxQQHLIZAF7x+UsXLhbaS3/Os501EEsXLq6qqDx79qx8hyOkejCB+J979+6t/+ablNTU4QN625v2mTaCZWrQs19PbV1tte6kYcTbppYXb5ru1Ly5WMpPv/Oq7NlrJ0fH8B9+GDlyZIded/r06YbvDYo9Fi/3GUgpJb2EkDgcfYi+/lPDn39aTbIkUzIL3dWotaDE7iUNLpw7T+Y2OMCJcHR2an/2AOJurqQgkVpMy97R4WvXOWRchsEEAv65XNbsOV/Tp9KiiigBwD8o4KuvZ9MnomhPAvG6rm7k0BGhoaGrV6+W43CEVBImEP9QVFR0+PDhlF9/Kbn/gOlYEIx638T5q9mLFy8eN26cEi4XFxe3ZMmSKzevjRzVsZlKJ9TWm2svTd0OmlKiQ88M8iYQe3bt3rZl66NHj/T1/z97dx7X1JU9APwEiIBKCCIgq0ILgiBld7RUQWVx3HC3Lri0VejYqnXBTm3Vfqyt1aq1zoh22uJWLSIiYEUQtRZFka0sEgGDApF9C7tsvz9u+36vAUIggRfI+X7mM5/w8pYTTHnn3XvuvT0so4OQ4sAEomuVlZVPnjypqqpqampiOhaFo6qqqqWlZW1tPWrUqIG8bltbm6Ojo4GxYUj41YG8rjzo1c014eGjzPQMsqKVbPXfmUGKBKK0pNTO0mbLli179+6VfVgIDVqYQCD0/+7evevu7h4aec3rn95MxzKg6GMse7zFHv/m2IfbtvRHGP105l59us783tnwW+ydrKys4cOHyzQuhAY3TCAQ+psVK1bcio397WHc2HG9Wxp0UJPyFivnpPl0F86c27j+vZCQkIULF8o6LoQGN0wgEPqbhoYGNze32rra2/d/0+RymQ4HMelB3P05HrO2bdv2xRdfMB0LQnIHEwiERBUUFEyaNMn0NbNfrl4epa3NdDiIGfd/j1u2YMl0d/fg4GAlJRyNhZAo/K8CIVHGxsYxMTEvCwVuk9/K5j1lOhzEgAtnzs3xmDXd3f3cuXOYPSDUJfwPA6EuWFtbP3r0SFdH133K1MATJ1tbccEURVFaUur3zoaN69/btm3b5cuX1dXVmY4IITmFCQRCXdPV1b19+7afn9+/dwRMdnC5+WtUe3s700GhflRXW3vs0JE3xlv/FnvnypUrBw4cYLFwVlqEuoU1EAj1IDc3d9u2beHh4Wavmc1ftGCam9sEG2vt0dr9NKk2Gki1QqGgUPBHSmr0zejr1yLa2tp27Nixc+dOHLGJUI8wgUBIImSW0oiIiOzsbKZjQTKmoqLi6uq6YMGC1atX41yTCEkIEwiEekceZim9du3apUuXvv76a2bX15ZSaGjo1atXDxw4wOCn0NDQ0NPTmzBhgqqqas97I4RoMIFAaJB5/Pixq6vr/v37d+zYwXQsUmltbZ02bVpNTU1CQgJ2GSA06GACgdBgUlNTY29vb2Fh8euvvw6B4YUFBQV2dnZLliwJDAxkOhaEUO8M+j9ACCkUf3//hoaGoKCgIZA9AICxsfH3339/6tSpixcvMh0LQqh3sAUCoUHj1KlT77//flRUlIeHB9OxyNL777//888/p6SkmJqaMh0LQkhSmEAgNDhkZma6uLhs3bp1//79TMciY01NTZMnT2az2XFxccOGDWM6HISQRDCBQGgQaGpqmjRpkrq6+u+//85ms5kOR/ZycnIcHR39/f0PHjzIdCwIIYkMhW5UhIa8Dz74ID8//9KlS0MyewAAc3PzY8eOHTp0KDIykulYEEISwRYIhOTd5cuXly1bduXKlQULFjAdS/9avXr1zZs3U1NTDQwMmI4FIdQDTCAQkmt8Pt/BwWH16tXfffcd07H0u7q6OicnJ319/Vu3bikrKzMdDkJIHEwgEJJfLS0tU6dOra+vf/TokYIsC5mUlDRlypTPPvvsk08+YToWhJA4WAOBkPz6+OOP09PTg4ODFSR7AABHR8evvvpq79699+/fZzoWhJA42AKBkJyKior65z//GRQU5Ovry3QsA6qjo2PBggVJSUmpqana2tpMh4MQ6homEAjJo5KSEjs7u2nTpl26dInpWBhQVVVlZ2dna2sbHh7OYrGYDgch1AXswkBI7rS3t69cuXLkyJGnT59mOhZmaGlpnTt37saNG//5z3+YjgUh1DVMIBCSO/v374+Li/vll184HA7TsTBm6tSpu3fv3r59e0pKCtOxIIS6gF0YCMmX33//ffr06UeOHPnggw+YjoVh7e3tHh4e+fn5ycnJGhoaTIeDEPobTCAQkiNVVVX29vY2NjYRERHY9w8AAoHAzs5uzpw5P/30E9OxIIT+BrswEJIXHR0d69evb2trO3PmDGYPhKGh4dmzZ8+cOXPu3DmmY0EI/Q0mEAjJi+PHj4eHh589exbHLtLNmjVr8+bN/v7+PB6P6VgQQv8PuzAQkgvp6ekuLi6ffPLJ7t27mY5F7rS0tLz11lsNDQ0JCQlqampMh4MQAsAEAiF5UF9f7+TkpKenFxsbi2tAdOnZs2cODg7r1q07duwY07EghACwCwMheeDv719RUfHzzz9j9tCd11577fvvvz9+/Pi1a9eYjgUhBIAtEAgx7syZM+vWrbt27drcuXOZjkXerV+/PiwsLCUlZezYsUzHgpCiwwQCISbl5uY6ODhs3Ljx0KFDTMcyCNTX1zs7O48ePfr27dsqKipMh4OQQsMEAiHGNDc3T548WVlZ+f79+8OGDWM6nMEhIyPDxcVlx44d+/btYzoWhBQa1kAgxJjt27fn5ORcuHABswfJ2djYHD58eP/+/bGxsUzHgpBCwxYIhJgRGRk5b9688+fPr1ixgulYBp+33377zp07qampY8aMYToWhBQUJhAIMaCwsNDOzm7RokWnTp1iOpZBqbq62t7e3tLS8tdff8VZOxFiBCYQCA201tZWNze3qqqqx48fDx8+nOlwBquEhARXV9cvv/xy27ZtTMeCkCLCGgiEBtrevXuTkpJ+/vlnzB6k4eLism/fvo8//vjhw4dMx4KQIsIWCIQG1G+//TZjxoyTJ0++9957TMcy6LW3t3t7ez979iw5OVlTU5PpcBBSLJhAINRfKioqNDU16dMVlJWV2dnZTZky5fLlywwGNpSUlpba2dm5uroGBwfTt5eUlOjp6TEVFUKKALswEOovJ06ceOutt/Lz88mPZLVuFRWV06dPMxvYUKKrq3vhwoUrV67873//ozZGRERMmDAhKyuLwcAQGvIwgUCov1y5cuXhw4c2NjZXr14FgEOHDkVFRV26dElLS4vp0IYUd3f3HTt2fPDBB2lpac3NzVu2bJk/f35VVVV4eDjToSE0lGEXBkL9QiAQGBsbd3R0sFisjo6OWbNm3bp164svvtixYwfToQ1BLS0t06ZNq6ioGDlyZFpaWmtrK4vFcnR0fPz4MdOhITRkYQsEQv0iLCxMSUkJAEiOHhMTo6mp6e3tzXRcQxObzV69evWLFy/S09NbW1sBoKOjIykpqbi4mOnQEBqyMIFAqF9cvXqV3rzX2tpaU1Pj5OT07bffMhjVkNTY2PjBBx+8//77r169amlpobYrKSldv36dwcAQGtqwCwMh2RMKhdra2uRRuLMVK1YEBgZqaGgMcFRD0h9//LFo0aIXL150/m0rKyt7e3tHRkYyEhhCQx62QCAke1FRUW1tbV2+paSk9Msvv/zyyy8DHNKQ1NbWtnv37mfPnnWZq7W1tcXExDQ0NAx8YAgpAkwgEJK9sLAw+vQPFBUVFVNT0/j4+HfffXfgoxp6lJWVw8PDT506pa6uzmazO+/Q0tISExMz8IEhpAgwgUBIxlpbWyMjI+md8QCgrKzMYrHWrVv3xx9/ODs7MxXb0MNisTZs2JCZmens7EyqVulUVFSuXbvGSGAIDXmYQCAkY/fu3autraVvYbPZenp6sbGxp0+fHjFiBFOBDWGmpqa///77kSNH2Gw2ve2npaUlLCysu+4khJA0MIFASMbCw8OHDRtGXpNn4nnz5mVkZLi7uzMa1xCnpKS0efPmlJQUKysrZWVlantVVdWjR48YDAyhoQoTCIRkLCQk5NWrVwDAZrO5XG5YWFhISAjOPjkwrK2tk5KSvvjiC2VlZdIUMWzYMJySEqH+gMM4EZKl9PR0W1tb8nrRokWnTp3S1tZmNiTFFB8fv3LlyoKCgtbWVjMzs2fPnjEdEUJDDbZAICRL5GGXw+H8/PPPISEhmD0wZfLkyRkZGX5+fiwWi8/nZ2dnMx0RQkMNtkCgPxUWFoaHh8fejk1KTSkrLW2orWc6ItQLSkpKI7kcU1PTSY7OXl5es2bNUldXZzooAOp7FXs7JSm1tLy0vr6252OQ3FBSUuJocE1NTZ1dHOXqe4XkASYQCNLS0nZ/tvt65HUV9WGarmbDbfRV9TnKI1WZjmvwaW9sESbmc11fA9aAX7ujo6Wqsel5RUOSoDolfyRHw3+D38cff6ypqTngofwpLS3t092fXb8eOYytbj7a1Uhzoqa6vpoKA/NvvmprfF6RaKH71sBferDrgPaGV1Vldc/zaxLzylM0RnL8/Dcw+71C8gMTCIVWWVm5+9NPT50K1LQ1GuM3ZbS3FYut3PNhSL69KqsruZRUfPrhcGXVgwe+WrduXecJEvpVZWXlp59+Ghh4aqz2G25m/rYG3spKXczyhAaX2uayh88v/sY/PUxd6auDBwb+e4XkDSYQiis+Pn7egvkN8Mr445l6S+yANfBPzagftdY05h++/fJMgpu725XgEC6XOzDXjY+Pnz9vQUsjzLH6xHnsEhYDrTGoHzW8qrmRdSiOH+Tm7h4SEjxg3yskhzCBUFAXL15cu36d5lQzi+8WK2tgb8WQVZf+krfuogFHJyry19dee62/L3fx4sV1a9db6Exd7fgfNTauFjZkFVSn//BozWh9zq83Igfge4XkEzZAKaLvv/9+5cqVumucLH94G7OHoW3kRAPb6xvKVRtdJk/q76GM5Hs1Zdzadyb9hNnD0GbMnbh12q+vqtQmuUzGIbIKC1sgFE5sbKz3LG/DD6eO3Tad6VjQAGlreJW56KfRzWqP4xOgiD/mAAAgAElEQVT6qc05NjbW23uWh/nmWRO298f5kRx61dpw4v7CYdymR4/jsS9DAWECoVhyc3MdXZzU3caNP7GYwaKHewa7AWDqy/39epLudpDJ1WWiIoaXueZ8j5E08stLQlLzj90FAPNDPqO9rNij/1xQg3wWEV2e8FVJbdrs05Mm2N+6GSPz2rfc3FwnRxdzLbfVTv9lsOjhwytjAOD4ouJ+PUl3O8jk6jKRURR9+oFvjx+hS+SoLnfo8oQ1TcVHf/unnfOEmFs3saZS0eC/t2Lx3/Q+y3Ck+ZEFMs8eCgPjuryZyQP5jK3+SXHmmvOS7PbY9RjJHgAgZ0dY9rarrcImAGgWVEt+uWF6GpY/vf3b3d9++umnPsUrzvv+mzTZhm/bH5N59nA756SYux2z5DM2QU3m6Qe+fTvWRt8TAKoaBJIfoqk25p1JZ3777W5/fK+QnFPpeRc0VFy7di02+pbtlXeUVGX/787/PErm5xRP8iaEgY+tR8KkgtS5p3rcrVXYlDTzhLaH5esH5qgacluFTcU/J/I/j6q6k60z/88Js80+8zbyc5XkoiMnGhisnbTz37sWLVokwwbna9eu3YqN/mDqVbay7OtpwtL2yfyc4knehDDwsfXoeWXSkTuze9yt82cU1GQevDXDx3YPtcXHds90c39JLmrMnfjWa+t2Bfxbtt8rJP+wBUJRtLW1bdn2kd6CNzT/MY7pWAa9+ifFhYFxfT68MDAude4pq5NLe9yzIacMAHQX2qoacgFAhaM2ZoUTAJSGpgFAY14lAIy0MZD80ibb3Bvbmr/66qu+Rd5ZW1vbR1u3O5kseH30P2R1ToUlqMm8nXOyz4ffzjl55M7stS6BvT2wtrn84K0Zyx0O6458DQDK6vMAwIg7UfIzeFtuf9XYLsPvFRoUsAVCUVy/fv0FP8/p3BYx+1DFAWXX0rL8gwHA6uRSLXcLFY4atU91HL8sMqPobIK2h6Xhe1O4rmZA64mnlxfUPymuupdLnv61PSx1F9pSD83dIc/lJlvcxu2cSbY08ssfux5zvLVpxIQ/24pzdoUXnU1wvLUpaeYJ+Hs7RNm1tNLQtIoYntXJpdS1uoyN2j/LP1jC2KgISy6nFJ1NAADy3C+mc6S7NhL+51HWZ1Zpe1iSX7K4yz1+AQAcJxNqiwpHTZrqDRVN9TEb/hF46tSePXtkMifx9evX854/W+l5Tsw+VHFAckFYUIIfAKx1CbQaM12dzaH2yS6LSy2MiOOfsdH3dDPfYKHjCrSeeHp5gaAm82npPfL0b6Pv6WS80MHYR3yQ5Lncy3LrbOsAsqW07tn+m28GzIw11LQmW4JTAuL4ZwJmxh68NQP+/oyeXBCWWBCaURS91iWQulaXsVH7ByX4SRgbFWHCi+A4/hkAIM/9PZYpdBaWtm/DlLM2+p7klyy5e7k/2Oh7TjFd1auj6IYP05xmtuFUYKCsvldoUMAEQlH8fPHnUW++pj6u57WdKmJ41I2N3F+tz/z5l+X517eozviKGF5FDI9+sxc5Cb2Dn+wMAOLv08PNdQAg/9hd6px16S8BQJhSSCUQ5OZN/UghiQUVdnORUPzHLAyMI8mNJLG1CptqHj0vPp9YEcPT93WxPrOKY28s/vxiSJ4B1MQ/BwBVQy6VG5l95q232J4UUdZlvAQA9qjhRRcSc3aEAYD5IR+duTb0hK8zveWOL76OjYqKWrBgQZ8/AuXnny+O13tTZ6Rpj3tmFEVTNzZyf90w5Sz58XrmwZu8o9RuGUXR9Ju9yEnoHfxkZwAQf5/W0zAHgJu8o9Q5C6vSAeBFZQqVQJCbN/UjhSQWVNjVTUXiP+btnJMkuZEktsYW4bPyhw/yzmcURbuardkw5ezYUQ7izy9G3+o3s8vibvKObpoaQm0prE4HgBHDtB7knb+UvB0AljsctjeaR0/4OvvHuLevPzkoq+8VGhQwgVAIHR0dN25G6Wx5U5Kdi88nTnq8XdWQ2yyoLrqQmH/sbnUcn+tqVh3Hzz9212SLm5GfqwpHrVXYVBgYl3/srs4cm6kv94s835PswS5iI8fRGACaBdWPnA9n+QeLTyBUOGomW9zyj91t5Jerm42Gv9rqc3aE6a90AoBGfjkAmB8S/YtcHccvOptgssVNf6UTFTl5q3NsRKuwaQpvtwpHjeQ6paFpXcbWLKgWJuZTDRWkFoG+Q7+O5iCZDT1v438eVRP/fPx3i6ksgbTEEDk7wiqjefR3OxumM5JrbyKTP/QdHR1RN27OMN0qyc4P8s7vm5WkNdywqkHwIO/8Td7R7LI4Cx1XcgPzstw63cJfnc1pbBHezj55k3fUzmjO8UXFIs/3JHv4yP36uFGOAFDVINhzwzEowU98AqHO5nhZbr3JO1pa94y00icWhALApeTt5LG7tO4ZACx3OCxyYHZZXBz/jJfl1immq6jIyVudYyMaXwkPzstWZ3NIrpNYENplbFUNgryKx1RDxRK7L7WGG9J3GLDRHHdzTtvoe5ImHzrSEkNcSt6eURS92vmEmBxCQ1XHdLQ9JhAKBWsgFAKfzxdW1XAcTXreFcBsjze5R6oacsltuywyAwCqH/ABgGQPAKDCUSNt+FX3cjufZOrL/VNf7lcfO6r+SXFFDI+6nfdo1IzxANDwrBwAGvnlpD8CAOqfFANA80shAHDsjUSOIrGR7IFErrfYTvyFDNdPJh9E28MS/rpVd0byHquTS63PrNKZbyuSPQyYyWkfk1+p1cmlFTG8qjvZ8FdxqF3ERvKWyLtiqDsYJCRL+i8iBp/PrxFWmY5ykmRnH9s95B6pNdyQ3LZTCyMAIKf0PgCQ7AEA1Nmc6Rb+APC09F7nkxxfVHx8UbH2iLGCmsyMomjqdt4ja/2ZAFBa+wwASuuekf4IABDUZAJAdWMRAIwdZS9yFImNZA8kcuexi8VfaOrr75APQkY0kEaIzkjes9YlcMOUsw7GPiLZw4B5XpmUURQt0nlBWlA+cr9OftvHFxWvdQnMKIrOKr4t/mwmmo6Jj5P7MVwkZ7AFQiHk5eUBgJrpKEl2Jo/+BLlfFp1NMP9qHnkIfmAp+sDN/zyqy1EA9Ofm7ogUEEx9uZ/0YtSmFGp7WJL+C535tln+waQXgzTad+6/IBei393pn6JL1FQK4k16vJ20QJSGpukutOU4mYjkEH2ogegtKmkDAC13CwAg7SWdz09+V921plDUTUfnXfld+sDI92q0BP0XAEAe/Qlyv4zjn1lq/2fnRUC4hcj+YWn7uhwFQO/v6I5IAcHxRcWkF+NFZYqNvifpv3Aw9glK8CO9GKTRvnP/BbkQ/e5O/xRd0lDt4YtH7JuVRFogEgtCnYwXmmo7i+QQfaiB6IOEF8EA8NrfC2A7n5/8rrprTaHojDRNzQsRswMaYrAFQiEIhUIAUNEQ1zUuW6TvQ9/XxTZ4veOtTZPTPpbwQKoXAwBKQ9NIb4X5IR/Sx8//PMrsM+9+i7oLqoZcnfm2U3i7x6xyKg1Ne+R8OGdXeEUMr6W8fgCubrLFDQDo/RHkdXftJYT4dwFARVOtrqaHGhFJkO+V+gDOWk36PlzN1myaGhIwM/aLORkSHkj1YgBAYkEo6a1Y7nCY9PGHpe2jj2AcAFrDDR2MfQ7Oy55iuiqxIHTPDcfglICMouja5vIBi6G2uZx00IgvbqB015pCUWdrCmtrZBEaGhywBUIhtLa2AgBLRaJ8sVlQTT1kk5oDchvT93UpOptA6gZ6PMmfNX1fzfszAGFTl7t1+Yw+asb4/GN3SW3juICZADDCUg8Ayq6lAQDHeWznQ0QqJ6CXkyz1SIWjpu1hqe1hSUZhkAoPEny/1kCMGK8Lf/8XIb9JfV8XAMhcc74ihkf/F6G/KwZLidXW2iZ9eOR7pcSS6M9IVYOAesgmNQdellsBwNVsTRz/DKkb6PEk5H6/1P4g+bGxpes0qMtndGv9mTd5R0ltI6mmNNC0AoDkgjAAMNPu4pcmUjkBvZxkqUfqbI6NvqeNvicZhUEqPEjwA1ADUVH/ArrquDn9wDejKJr+L0J+z65ma8SfUIml3NbW2g+RIjmFLRBIVNGFRHL3bRZUl4SkAgB3ihkA6MyxAYDCwDjq4bs6jn/PYDd9RgSRRIHkH6TcUvIASC8GuUmrGnGpLWRsCHktgkTI3xdFRd656qK7JKZXOI7G5l/Nc7y1aWAaQsgAzqILiVTwpL5h1AwLANBdaEttob9L/qXkzYO88+TuW9UgePwiBADMdd8EADujuQBwO/sk9fCdXRb34ZUx9BkRRBIFkn+QckvJAyC9GOQmPWq4MbWFjA0hr0WQCMPS9lGRd6666C6J6ZVxoxyX2h8MmBk7kA0hL2uyAEBXQ7RTxsl4IQDQKx7Ia/IvhRAFWyBQFx45/385uskWNzLZA9fVjDzo0ysbtD0s9RbbkxcVMbwHlvv1fV3Mv5pndXJpln/wY9djImemNxJ0h+rFMNniRhVskvYPaosIKjaq9Z4+UkMktt78Jro2YsKYznUYskIfM6JqyCW/SfrvXN/XhRR+arlbkMkk6PNJUP9ecmjPDUfqtZflVlL5b6HjSh706ZUNNvqeziZLyIuMouiAcAtXszVL7Q+udQkMSvDbf1N0PBG9kaA7VC8G1WivzuaQ9o/umvGp2KjWe/pIDZHYevWr6JKhpnXnOgxZ6TxmhFR+qLM1Rfa0GjOdTCZBn0+C+vdCiIItEEjUuJ0zyeO1toelbfB6+jQP43bOtDq5lGohNz/kY/HNAlKNOC5gJtn+qkgIADrzbalbuMkWN+e4LY63NgFAdfxzSWIgYzFIu8JfWyyo7d2FbXVyKbmzWp1cSsaP/PnW32MbXHTm29pFbCTxa3tYWp1cSuVAKhy18d8tpj41qTjpcloOeTDbOoA8Xtvoe26aGkKf5mG2dcBal0CqhXy5w+G3HY+QasTZ1gFkOxko4WDsQ93CvSy37va6HzAzFgByy+IliYGMxSDtCsSEMTOo7d2FvdYlkAypWOsSSB+wIBLboEPmt+hc9anO5qx2PkF9alJx0uW0HEjB4WqcCiE4OHjZsmU99tbLzzKVqF+Vhadn+f0i/X/75HvVY2+9/CxTifpVSmH4T4824D1FcWALBEIIIYR6DRMIhBBCCPUaJhAIIYQQ6jUchYH+H1Y/oP6A1Q8IDUnYAoEQQgihXsMWCMQ8yUd/yHacSKuwqSwiozKaVxHDI4ttarlbdDfPpvidu1wRg4qTHEtm5zTZ4qa32K7HyTCQ9CQf/SHbcSKNLcKUwnAy5SVZbNNqzPTu5tlsbBFmFd9OLAglO9voe0408KaGVvZ4qtK6Z49fhJApNJY7HKYfi1B/wwQCKa68A9FFZxPIazJztraHpfWZVb3ducdps59+EELNcEVm4nK8tan/pqJCzIrI+IJMsQAA1L1/w5SznfdsbBGee7yJmqWK7JxRFE1NgyH+VIKazN4uuo2QDGECgZgneYuCDKs06p8Uk6ktySLgzYLq/O/uFZ1N6HKuTEl2NvvMu8tVScuupVXE8MwP+ZC5rarj+GlLf3x5NkEmc2IiMSRvUZBhlYagJpNMbUkWAa9qEMQ8PR7HP9PlXJlZxbcziqKXOxy2N5qnzuaQyblv8o4+zr883dxf/KkaW4QHb82w0fdcYvel1nDDxhZh/PMLYWn7sopvi18zEyFZwRoIpKCEKYUAoLfYjqxTpWrINfB1AQCyhnivdm7MqwSAkTYGXV6oNDQNAHTm/rk+BZlnmmrMQEPMi8oUAHAeu5isHKY13PBNM18AIGuIi0gsCAWAKaarqKm1p1v4A0BY2r4eT1VSmwMATsYLybvqbM7kcSupcyI0ALAFAg2csmtppaFpFTE8UgdAVsqY+nI/vbKBvJ6c9nFJSAr/8yhSbaAz35acQUwNRJdVCESX+5N+B/bokdSWYboaAFD/tLTzal292lmESJ8I6cuwOrm0p+OQpJILwkgNgZflVuexi8lKGccXFdMrG8jrL+ZkPM6/HJa2j9QTUE/qYmogyFtd6nJ/suyWhur/fy84anoAUCR82nnnzv0a9N4H8afiVyQAgKm2M/1YHPCCBhImEGiAPP/6FrUilMiKXJ1lb7tKbrSk2gAAqBxCVkgA9JJJsqhH/rG7nZeTEL9zXcZLAGCPGl50IfHPdcwP+ejMtRGpxywMjON/HgUAVieXyvzjKKzrmQepVbhEVuTq7GLSR6TggNQTAIDMW/tJAPQ8gFQz3OQdlWQ5CbLQ6FqXwB5PRZb/0BpuSOVPPrZ7nE2WYBElGjCYQKCBUB3HJ6tritQQdLf/COsx479brMJRIxUDpaFpPd5xGZ/EImnmCep1zo6wymge+QjUxpE2BmafedfEPyeLZ2IOIb3ssjiyuqZIlUB3+xtqWpMaw+yyuBP3FicWhPaYQAzwM/3jFyE2+p5WY6b3uCdJgOj5U1javtyyeCyiRAMGEwg0EKof8AGAZA8AoGrINdowRUwCYbh+Mrn1kooBagiDfCLtCnYRGzmOxmRL2bW0LP/gqjvZ9CyB62rGdTUz8nMtupCY5R/M1h4pt+tuDxY5pfcBgGQPAKA13NDNfIOYBGLq6++QmytZmZoa/iAnSDYQMDO2VxnAF3MySKtDckFYUIIfFlGiAYMJBBoIpAuAZA+E+IkQSAdBr/S2BkKGOp9fZ75tln9wdw0nOnNtcnaECb5/gAmElMjDN8keiM4jHej60Lzf2xqIPqOyB0NNa8mPmm7hT2UbpN1CkmYVhGQCR2EgBWWyxQ0AWoVN1BbymmyXZmdKdw0npHFFzptVUN94WW4FgMYWIbWFvCbbu1TbXH4986CgJnO313169iD+VOT/6W0V5LW8NaugIQxbINBAMNniln/sbrOgmmqE6HHypd7qbTPDiPG6ANBSXkeVKTQXVsPfm0kk3DlzzfmKGN4U3m7qXZJe6Pu6dPluS3k99S6Shpfl1pu8o1UNAqoRgoxckKHeNjPoc8YDQG1zGXVrr2wogL83k9AJajKvZx401LSmJo+S8FTkXfpnJ+mFq9maXgWMUJ9hCwQaCNwpZgBQdCGR5A3NguqiC4nMhjTcXBcASkJSqZDKIjMAgGNv1NuddRfaAkDVnWxqf/JaZ44N9W5ZRAZ5q1XYVBKSQr2LpGGu+yYAPMg7T/KGqgbBg7zzzIakxzEHgMcvQqiQUgsjAWDsKPvOO1c1CA7emmGoaT3bOqBz94r4U5EBnA/yzlNNFFnFtwFgwpgZgNCAwBYINBC4rmakEUL86M2BNGLCGG0PS5GQ9H1dqBmm6XNOiN9Zy91C28Myyz+YDK8gTLa4kRIHnfm2paFpOTvCyAhPkXeRNCx0XEkjhPjRmwPJUNPaRt9TJCRXszVU3wR9zomskjvQzejT44uKxZ9Ka7jhWpfAoAQ/kXdt9D3767Mh9HeYQKABMm7nzBHjdTtPJMUgi28WlN/MotbHGuVpSc0X2audVThq479bXHUnm3w6fV8XnTk29PzA+swqahKtzu8iacy2DtDnjO88kRSD3nY8kv4yilq6wkbf096o62nLLyVvl+ZUDsY+o0YYJ7wIjuOfEZkaC6EBwOro6GA6BtTvgoODly1bxvhMCSLuGezW93XBJSEGXll4epbfL9L/t0++V/I2++GHV8a4mq1Zan+Q6UAUTkph+E+PNuA9RXFgCwQaCKQ7gJopoVXYVPxzIgBwJ49jNjA0qJHugI/cr48b5QgAZEEpAHh99GSGI0NIAWACgQaC9ZlVmWvOp849Rd+o7WGp5W7BVEhoCNgw5ezpB75H7symb5RwJkeEkJQwgUADQdvD0jZ4ffUDPilC1Pd14U4ep+VuIbJaBEK9YqPvuWlqSE7pfVJI6Gq25vXRk63GTMe5nBEaAJhAoAFCJnLuvE4VQtKw0HG10HGVZJ0qhJBs4TwQCCGEEOo1bIFAQxN9FgcGtQqbyiIyyAwQZPAqtQgIg4t3oD6jz+IgJwQ1mQdvzaCH1NgiTCkMJ2NEydBW8UuEINQ32AKBUD96+kEINX9U/rG7j12P1T/p4d6j7WHZ/3GhIaK2ufzgLdGpJ8893kTNMHGTd3T/zTcFNZkDHhoa+rAFAqH+UnYtrSKGZ37IR3+lEwBUx/HTlv748mwCmfqiczND/ZPipJknzPZ4MxArGpxuPDkksiW5ICyjKHq5w+EppqsAILss7sS9xff5Z3FiDCRz2AKBUH8pDU0DAGrCSjL7ZNHZhC53bimvT5p5wvyQj/iFzhGi3M45Wd1YJLIxsSAUAKgJKy10XAEgjn9mgGNDigBbIJDsVcfxyyIzyJ3SZIubzhwbaoGJ+ifFVfdy+Z9HAYC2h6XuQlud+bbkLapqoSKGl7nmvLaH5ZhVTqQ9v+xaGllmwurk0s77098VMzSUikrbw9LwvSn0yaTFBEzX26oF6zOr6D+S9butTi7t8gyCH+O1PSxJWwXqUnZZXGphBLkXellutTOaQy0wIajJfFp6LyxtHwCITOpMVS1kFEWffuBro+85xXQVWTAiuSAsKMEPANa6BHben/6umKGhVFQ2+p5u5hvIDbvHgOnIFbskptgiuywuLG1fwMxYkfW7N0w5S/+RvLvWJbC78yDUZ5hAIBkjt3/qR7IAlW3weq6rmchbFTE8ck+lcgL64eRdx1ubyiIzqCWsSKIgsj+1hFWWf7C2h6XIbZt4/vUt6iTkzCZb3MiYUjEBS/WLoCkMjCM5Ez0BoquO45OLyuqKQw+5/VM/kiWmNk0NsdBxFXmLrBwBAPSFIah9yLsBM2NTCyOpZahIoiCyP9lI3rXR9xS5MRPXMw9SJyFn9rLcSsaUiglYyl8FAJTWPTtxb/Fal8AuMxLids5JklHR0yOEZAgTCCRj5GY86fF2VUMuAAiTClLnniqLzOC6mpG3qAmtmwXVj5wPZ/kH0++ptSmFU3i7VThqpGIgaeYJky1u9C0i+xefTyTXIkuE5x+7Wx3HF7n3k9uzyRY3Iz9XFY5aq7CpMDAu/9hd0tIgJmCRj9bnwREjbQzMPvOuiX/eOQEiBN8/0PawxBW2xCA3432zkrSGGwLA88qkI3dmpxZGWOi4kreoCa2rGgR7bjgGJfjR75ovKlMOzstWZ3NITcDBWzO8LLfSt4js/yDvPLkWWSL8Ju9odlmcyL0/uyzuJu+ol+XW6Rb+6mxOY4vwdvbJm7yjpKVBTMAiH623YzoaW4Rhafu8LLeKTwuMuBN9bPfklsV3To8QkglMIJCMaXtYVsTwyiIyRtoYjLQ14DgaU/dd8qKlvL7+SXGToLo2pbDz4YbrJ5M+COpuSu769C10Znu8yY1f1ZCrv9Ip/9jdzvf+6gd8+nlUOGpGfq75x+5W3csl63R3F7CskEm0jPxciy4kZvkHs7VH0iMUJhVUxPC6bDhBFBt9z4yi6BRBuBF3ojHXdtwoR+q+S17UNpcLajKrGgQvKlM6Hz719XdIHwR1/yZ3ffoWOh/bPeTGrzXccIrpqpu8o53v/Tml9+nnUWdzplv43+QdfVp6j6zE3V3AUrqdfTKjKPptxyPidyNTbE0393+Qdz4owW+k2miZNH4gRMEEAsnYuICZFTE8qspBpNqA3pXQJfboESJbxE93TS85JJlE0V/DHCjkig8sRdMC/udRRn6u4gOmk37mBp25Njk7wgTfP6BfouRyCgBoThonyRkU1mzrgIyiaKrKQaTagN6V0CUNVdHSVPHTXdMnTiCZRBz/jMhABnLFgHDR9VzC0vZNN/cXHzBdr2ogkgvCbvKOfuR+vfMn6o690bxLydvv5pzGBALJFiYQSMZGTBgz9eV+qliyIoan7WE5LmDmiAljSBeDvq+Lzhwb9qjhw3Q14m2/ZDpecQHL/FokGSKVH0RLeX3R2QSTLW64LIh4hprWxxcVU8WSGUXRNvqes60DDDWtSReDq9kaO6O5I4ZpcdT0Pom0YTpecQFLc1rSHyGyfhiIneGKpEoitZYISQ8TCNQvRkwYM2LCGJ25No15lWlLf6yI4U19uZ9MqUQ1D7QKm6S/ULOgmjQ8AEAjvxwATLa4ieyj7+tSdDaBFFL0KmCRfXrbtZG55nxFDI9+3ZbyehIPtU/ji0oA0LA36tWZFZahprWhprW94byy+rwT9xZnFEUfX1RMJk2imgcaW4TSX6iqQUAaHgCgtO4ZAHhZbhXZx9VsTRz/DCmk6FXAIvvIdl7L0w98M4qi6VHVNpeTaGV4FYQA54FAMpezK/yewW5hUgEAqBpy1U1HiexAbvOkklH6yxVdSGwWVANAs6C6JCQVALhTRDsgdObYAEBhYBy5fwNAdRz/nsFuEkCPAfeZ7kJbACiLyCA/tgqbSkJSqHiIel4JAAx/Ded+6EFwSsCHV8Y8r0wCAK3hhjojTEV2ILd5Usko/eUe5J2vahAAQFWD4PGLEAAw131TZB87o7kAcDv7JLlDA0B2WdyHV8bczjkpScB9c3xRscj/6NsBwMl4IQCkFIaT7Y0twsf5l6loEZIhbIFAMqa3xL7obELq3FP0jeaHfADA6uTSLP/gx67HRA5p5JdLM3vSI+fD1GuTLW6dKxi4rmYmW9zI+Exqo7aHpd5ie/EBS0lnvm1paFrOjjBqNuvOEdalvwQAFY669Jcb2lzGLo3jnxFpul/ucBgA1roEBiX47b8peoMvrXsmzRoQe244Uq+9LLd2LiCw0HH1stxKxmdSG230PZ1NlogPuF85GPskFoReSt5OzWYN3cSPkJQwgUAyxnE0pk/eYLLFTcPeiMwHpTPftrXuFX1lqfam1qSZJ6rjn/c5gRi3c6YKR43/eZT4+sdxO2eOGK9bHf+czBZlfshntJcVKdgUE7D0rM+sKruWVhqaVhHDI8UfIhGSeDqXjiIR40Y50idv8LLcOnaUPZkPysHYp6m1jr52VEtb08FbM3LL4vucQMy2DlAfxglL2ye+/nG2dYA+Z9yCNDwAACAASURBVHxueTyZLWq5w+GJBt6kvFFMwP1tw5SzyQVhiQWhGUXRpDQEswfUH1gdHR1Mx4D6XXBw8LJly4bYGo9yst7mYFQWnp7l94v0/+2T75VcLU0pPTlcb3OwSCkM/+nRBrynKA6sgUAIIYRQr2ECgRBCCKFewwQCIYQQQr2GRZRosMLqB9QfsPoBIQlhCwRCCCGEeg1bIFC/k5PhEvSVLEgwrcKmsoiMymgemb5ad6GtlruFhFNKk2PpQ1JFRqI28stLQlLJ0FD6qFHJkXXGqd9b5/gVnJwMl6CvZEGCaWwRphSGk9W9bfQ9nYwXWo2ZLn7pjS7PJnLaHpHr0oez0kexNrYIs4pvk7Gd9Kg6x4+QhDCBQIor70A0mYYBACpi/kwjJFwV8+kHIdSSFmSKKsdbm6jlM+qfFCfNPEHtnLMjrDKaN/67xZIveFH/pJisM44GnYiML8i0EABApREbppzt8UAy92WfnXu8iVrwgkxvFTAzliy9UdtcfjHpI+pdKqoel/RESAxMIJBioZ7d658Uk1Ws9Fc6qRpymwXV+d/dKzqbIMm0mGXX0ipieOaHfPRXOgFAdRw/bemPL/9aBbRV2JQ084S2h+XrB+aoGnJbhU3FPyfyP4+qupOtM99WkiCFSQUiM2NSkYtZERQxiHp2F9RkxvHPeFlunWK6Smu4YVWDIObp8Tj+GcmnxfSx3TPd3L+3ASQXhGUURS93ODzFdBUAZJfFnbi3+D7/LFkiJP1lVEZR9FqXQAdjH2r/oAS/9JdRJHIxK4Ii1B2sgUAKSphSCAB6i+3IWlyqhlwDXxf4a25p8UpD0wBAZ+6fS1qQySWpxoyGnDIA0F1oS86swlEbs8KJOqpHhYFxqXNPWZ1c2uuPhOTAi8oUAHAeu5isxaU13PBNM18AKKxK7/HYsvo8ADDiTuzDdRMLQgHA3ujPlerI1JNUQwjp16CyB+o1fbprhHoLWyBQz1qFTQ8s9+v7ulALaRI5u8KpVS6p5bABgNQTdPm03bkeovOW6jh+WWRG0dkE8bNTi3kWl6REgCzBxR49ktoyTFcDAOqflur0dKxINwfpy6Bu+cLHLwCA42RC7aDCUZO8aoH/eZT1mVXaHpZZ/sESHjJINbYIA8ItXM3WUAtpEsEpAdQql9Ry2ABAeu7pd0FK53qIzluyy+JSCyPi+GfEz04t5llckhIB0g2hofr/XyKOmh4AFAmf9nisNES6SEhvxVqXQPKjjb5nl8t5D8zU2miowgQC9UyFo2b2mTf/86hx22dQlYAt5fVFZxPMPvNW4aiRcj9qf1JPAAASttjTPf/6FrXkFTmPyRa3cTtnyuBj/B25Cr0ogXy0/GN3Jb9cYWAcyZmsTi6lPmxN/HMAUDXkUqtgmH3mrbfYXsIiSsUpkFRnc3xs94Sl7Zs1YQdZPwIAapvL4/hnfGz3qLM5GUXRpx/4UvuTnnv4+5O0hK5nHqSWvCLn8bLcOts6QBaf42/IVeglk+Sj3eQd7fFyhdXpADBimNaDvPOkbWC5w2F7o3kSFmASt3NOknyL3mExxXRVRlF0ckEYvQuDbJf8zAiJwAQCSURr6usAUH3/GXWbrL7/DAC0PS0BgGQPdhEbOY7GANAsqH7kfDjLP7i3CUR1HD//2F2TLW5Gfq4qHDWy5Hf+sbs6c2yo+kSKPNxoR9oYmH3mXRP/nLQWkM9Lkid6JsT/PKom/nmviigVxHjdqQCQUxpH3dhySuPgrydjkj185H593ChHAKhqEOy54RiU4NfbBCK7LO4m76iX5dbpFv7qbA5Z8vsm76id0RxSY0jH+EiEg7dmUK8vJW/PKIpe7XxC8hzCiDvRx3ZPbll8UIIf/JVs2eh7bpoacjfnNNlIbcFFtpA0MIFAEhkxYYy2h2VpaBqVE5SGpun7upB6Q3Ivbymvr39S3CSork0p7NtVqh/wAYBkDwCgwlEz8nPNP3a36l5u5wRCHnBdzbiuZkZ+rkUXErP8g9naI+kdLpPTPiatDmXX0rL8gyUvolQchprWNvqeiQWhVE6QWBDqaraG1BuSe3ltc7mgJrOqQUDKC/ogp/Q+AJDsAQDU2ZzpFv43eUeflt7rnEAwiLQcUAkT/FXqmFV8W/KcyULH1ULHdbq5/4O880EJfiPVRpMsobA6nd6LQUZhYAKBpIEJhEJQUVEBgI62dpZy38tmDd+bkrb0RzJIoZFfXhHDsw1eT71Lf+DuM3KGB5aiTQv8z6OM/ET/0klZAyFbOnNtcnaECb5/QCUQVBoEAFruFgBAT7+Y1dHeoayiLP15yPeqvaNNidX3s7mZbzhxbzEZpFBa9yyjKHrT1BDqXXrXQ5+RMwSEW4hsD0vb13m8g5Q1ENLofH4HY5+gBD96giU5e6N5l5K33805baHjmlwQFpa2r/MoDDWVkX04c3faO9qUlfGeokBwFIZC0NTUBIC22mZpTjLS1gAAquOfw19DFcgWACi6kJh/7K6+r4tt8HrHW5smp30sXbwDwWSLGwC0CpuoLeQ12d5bJFcgnRfkDPTeCvq78qC1pmmkZi+61btDvldNLbXSnMSYawsAuWXx8NdQBbIFAB7knb/JO+pqtmbT1JCAmbFfzMmQNuL+52W5FQAaW4TUFvKabO+bLusfe0SaW8ix9O4MgrwmYzdkpbGlhqOhKcMTIjmH2aJCMDU1BYCGZ+WkRqFvVDhq5od8cnaEjfayyvIPNj/kQ90jyYSM1BgN+l1ZvJbyevqP+r4u1LCOHo+VsplhxHhdAGgpr6Ou1VxYDQBk7KV4mWvOV8Tw6HGSD6Lv60KduVlQTZ2K/ELIu/KgkV9uZtb12JZeId+r0rpnVJN7H6izOcsdDl9K3j7RwDsowW+5w2Gqv58UElJjNOh3ZfFqm8vpP7qaraGGdfR4rJTNDPqc8QBQ21xGXauyoQAAyKhO8U4/8M0oiqbHST6yq9maPhxLfgnij+1batKd0lq+TL5XaLDAFgiFYGpqytHSrE0qkPI83MnjACDe9ksAGOX2usi7jfxyACCVj92dQdvDEgCESQVkT8GP8fR3debYAEBhYByVWFTH8e8Z7BZzwj4bbq4LACUhqWQ8Z7OguiwyAwA49kY9Hqu70BYAyiL+fCBuFTaVhKRQ8ZMBnEUXEqlEqupONgCMmiHahM6UxpSXzvZ9v+VTTE1NNTlaeRWJUp7ndZ3JAPBJpA0AWOm5i7xbWvcMAEjlY3dnIEWXzyuTyJ73cn+gv2tnNBcAbmefpBKL7LK4D6+MuZ3T7Qn7TI9jDgCPX4SQ8ZxVDYLUwkgAGDvKvsdjnYwXAkBW8W1qC3lN4pfk2JTCcPJjY4vwcf5l6lgf2z0AkF0WRyVhZBQG2S4rBcJkR6eePyYaMrAFQiGwWKxZXt63YpIMN0yR5jzqZqNJI4G+rwv9Sd3q5NIs/+DHrsdE9u88q6PuQtuKGB41zaLZZ970d7muZiZb3MjM0NRGbQ9LvcWy/6tEykJFrqXv60KqNcWv36Ez37Y0NC1nRxhpeiFMtriRAghVQy75hYicmSRPjK8M8qq0rir5hfe/vXvetScsFst7llfqb9Hu5hulOY/uyNdII4Gr2Rr6k/pal8CgBL/9N98U2b/zrI5OxgsziqKP3JlNfhS5L1rouHpZbiWzO1MbbfQ9nU2WSBN2l0hZqMi1XM3WkGpN8et3WI2ZbqPvGZTgR42VAAAvy62k1FH8sQ7GPokFoZeSt9PnhqKOdTZZklsWf+LeYvohsv0NCJtK+WXJh7z/LasTIvmHCYSiWPH2imCf4MbnFerjtKU5j84cm6KzCXpL/nZH15lv21r3ir6yVHtTa9LME9Xxz0USCFJFSGZHIFNBk3kUKON2zhwxXrc6/jmZ2LFvy1BJyOKbBeU3s6jFtEZ5WlKTS/bI+swqapoHfV8XnTk29PEXOvNtVY20Si6nkOmwuptWixElvyRxuJre3jJIIABgxYq3g4N9yurydEaaSnMeO6O5cfwzLmP/Nv+mg7FPU2sdfXWolramg7dm5JbFiyQQVI8+NZ0zGdFAmW0doM8Zn1seTyZnXO5weKKBNzX5hGy97XiETB1NRjrY6HtSE0SKp87mrHY+QS155Wq2xs5oruQDJTZMOZtcENblsRqqo+ln7u0SX5J49OKSJocrq+8VGhRYHR0dTMeABkJbW9vr4y2a3uBYnFjc895DUW8f/e8Z7O6ndgJpzixlA0ZrTWOK6/EP333/q6++6tsZRLS1tVmYW2q32652+q9MTjjo9HZR0A+vjOlzmYU0x/Z4ZpCi/qPhVc2B2Df9P3hHVt8rNChgDYSiUFZW/vbI0ZKrf9Q8fM50LIOAMKnA/JDMhrcNzJklkX/4trqy6scfy2yYjLKy8tFj3yTmX80tfyircw5hzyuTljscHvhj+9uNrEPD1JVk+L1CgwImEApk3rx5MzxnPv/sRntzK9OxMOaewW5JFrQUPn5BVtqUuT6fWcLIxahLf/nyTMLXB74iwy9lZd68eTNneIZl7G5pk2qc8KD24ZUxkixoya9I6PPs0dIcK4aEkYtRUJ0exw/66uAB2X6vkPzDBEKxnDzx3w5BXc5HVwG7rsTqPG+V/J9ZvFcltbx1F6e5TVu3bp3MT/7fkydqWgQXU7Z0AH6vxOnDOt0yObb/1DQV//BozbRpbv3xvUJyDmsgFE5sbKz3LG/DD6eO3Tad6VjQAGlreJW56KfRzWqP4xO43J4nuuiD2NhYb+9ZHuabZ03AFaIVxavWhhP3Fw7jNj16HN9P3yskz5T37t3LdAxoQJmZmemP0b/wyXdtdc3ct15jKbGYjgj1r1cltVkrzim9bPjt9l0DA4N+uoqZmZm+/phjQf9uaq0br/sWi4Wtm0NcTVPxqfi3a9sFd3+73X/fKyTPcBinInrvvfdGjhy5dv265rxKi+8WK2uoMh0R6i916S956y4acHSi4u+89tprPR8gBfK9Wrd2fXk9f7Xjf9TYGv16OcSggur0Hx6tGa3PeXQjvr+/V0huYReG4oqPj5+3YH4DvDL+eKbeEjtgYVPEkNJa05h/+PbLMwlu7m5XgkMGrIU5Pj5+/rwFLY0wx+oT57FLWIDfqyGl4VXNjaxDcfwgN3f3kJBg7LlQZJhAKLTKysrdn3566lSgpq3RmI2TR8+awGLLYJFGxKxXpXUlvyQVn344XFn14IGv1q1bp6Q0oB0KlZWVn376aWDgqbHab7iZ+dkazFJWYg9kAKg/CJtKH7249Bv/9DB1pa8OHhj47xWSN5hAIEhLS9v92e7rkddV1IdpupoNtx6jaqCpPFKifg0plwhHMtPe3lLV2Pi8oiFJUJ2Sz+Fq+r238eOPP2ZwZF1aWtqnuz+7fj1yGFvdfLSroaYNV91ATQX7NeRCR0c7sFg9tg91dLTVv6our897UZOYV5aiyeFu9HuP2e8Vkh+YQKA/FRYWhoeHx96OTf4jtay0tF5Yx3REqBeUlJRGcjmmpqaTHJ29vb1nzZqlptbziqYD4M/vVezt1OQ/SstK6+olXVETyQMlJSWOBtfU1NTZxVGuvldIHmACgfqCx+MtXbo0Pz//hx9+WLRoEdPh9NrBgwdPnTrF5/OZDgQNbl5eXmPHjj19+jTTgfRaYmLi8uXLa2trz5075+npyXQ4aFDCxmfUa2fPnnVyclJTU0tJSRmM2QMAaGlpVVdXMx0FGvSEQqGGxqDslHFyckpOTnZ3d581a9auXbva2tqYjggNPphAoF5obGzcuHHj2rVr33nnnbi4OFNTqRZgZBCXy62pqWlvb2c6EDS41dbWDtIEAgA4HM6lS5d++umn48ePz5w58+XLl0xHhAYZTCCQpHg83qRJk3755ZfLly9/++23w4YNYzqivuNyue3t7bW1tUwHggY3oVDI4chsRWxG+Pr63r9/XyAQ2NnZRUVFMR0OGkwwgUASGQLdFnRk8Dr2YiApDeoWCIq9vX1SUpKHh8c///nPzZs3t7S0MB0RGhwwgUA9GDLdFnRaWloAUFVVxXQgaBDr6Oiora0d7C0QhIaGxoULF4KCgv73v/+99dZbz58/ZzoiNAhgAoHEGUrdFnTYAoGk19DQ0NbWNgRaICi+vr6JiYn19fXOzs7Xr19nOhwk7zCBQN0aYt0WdJhAIOmRGpqh0QJBsbKySkhIWLBgwdy5czdv3vzq1SumI0LyCxMI1IUh2W1Bx2azR4wYgQkEkoZQKASAodQCQairq58+fTooKOiHH3548803cboU1B1MIJCoodptIYLL5WINBJIGSSCGWAsEhXRnvHr1yt7ePjg4mOlwkDzCBAL9zRDuthChpaVVU1PDdBRoEBuSXRh0lpaWjx49Wrt27bJlyzZu3Njc3Mx0REi+YAKB/jTkuy1EcLlc7MJA0hiqXRh0ampq3377bUhISHBw8JQpU3Jzc5mOCMkRTCAQgMJ0W9BhFwaSUm1traqqqiL8x7Jo0aJHjx61t7c7ODhcvHiR6XCQvMAEAilQtwUdtkAgKQ2BaSglZ2Fh8fDhw3Xr1q1YscLX17ehoYHpiBDzMIFQaIrWbUGH62khKQ2NaSglp6qq+u233169ejUyMtLZ2TkzM5PpiBDDMIFQXArYbUGHXRhISkNmGspe8fHxSU1N1dTU/Mc//nH+/Hmmw0FMwgRCQSlmtwWdpqYmtkAgaQzetbylZGJicu/evW3btq1Zs8bX17e+vp7piBAzMIFQOIrcbUGHXRhISorZAkGoqKjs3bs3LCzs+vXrTk5O6enpTEeEGIAJhGJR8G4LOi6XW1dX19raynQgaLBSqCLKLs2dOzc1NVVbW9vFxeXbb79lOhw00DCBUCDYbUHH5XI7OjpwLinUZ4pWRNklY2Pju3fvBgQEfPTRR6tXr66rq2M6IjRwMIFQCNht0RlZTwvrKFGfYQsEQbozoqOjb9265ejomJqaynREaIBgAjH0YbdFl7S0tAAX5ERSUNgiyi7NmDEjNTV17NixkydPxu4MBYEJxBCH3RbdwRW9kZSwC0OEnp7ejRs3AgICtm3btnDhQvyPa8jDBGLIwm4L8TQ1NZWUlPBvHOoz7MLoTFlZee/evTExMQ8fPrSzs3v48CHTEaF+hAnE0ITdFj1SUlLS0NDAGgjUNx0dHfX19dgC0SV3d/c//vjD0tJy6tSpBw8e7OjoYDoi1C8wgRiCsNtCQrgcBuqz+vr6trY2bIHojo6Ozo0bNw4dOvTpp58uWLCgsrKS6YiQ7GECMaRgt0WvaGlp4TBO1DeKsJa3lFgs1ubNm2/dupWYmGhvb//gwQOmI0IyhgnE0IHdFr2Fy2GgPqutrQUAbIHo0dSpU1NTU21sbKZNm7Z379729namI0IygwnEEIHdFn2AXRioz7AFQnKjR4+OjIw8fPjwgQMHvLy8SkpKmI4IyQYmEIMedlv0GSYQqM+wBaJXSHfG/fv3nz175uTk9PvvvzMdEZIBTCAGN+y2kAaup4X6DFsg+sDZ2TklJeUf//jH9OnTsTtjCMAEYhDDbgspaWpqYg0E6huhUKiurs5ms5kOZJDR1NQMDg4+fPjwl19+6eHhUVRUxHREqO8wgRiUsNtCJkgXRlNTU3FxMY/He/jwIRaKo+6UlJQkJibyeDyBQFBTU4PTUPYZ6c548ODBixcv7OzsoqOjmY4I9RELp/gYdHg83tKlS/Pz83/44QdseOiV/Pz8Xbt2VVRUVFRUVFVVVVRU1NfX01f0Xr169dmzZxmMEMmtp0+fWlpa0reoqqpqamqOGDFCQ0Nj1KhR3t7eAQEBTIU3GAmFwg0bNgQHB+/cufOLL75QVlZmOiLUO9gCIaeuXr3a5Syw2G0hDWNj4/j4+Ojo6KSkJD6fX1NTQ88eWCyWl5cXg+EheTZ+/HhjY2P6lubm5tLS0ry8vLS0tLt3744dO5ap2AYpDodz6dKloKCg48ePz5w58+XLl533OXToUENDw8DHhiSBCYQ8Kisre/fddxctWkSfvg27LaRH2k7FPOh4eHgMZDxocPHx8emuTllbW3vhwoUDHM/Q4Ovre//+fYFAYGdnd+PGDfpbly9f3rlz565du5iKDfWgA8mfRYsWsdlsNps9e/bs9vb2jo6OrKysiRMnampqhoSEMB3d4EZq37r8b+GNN95gOjok10RubxQ2m/3JJ58wHd3gJhQKV6xYwWKxPvzww1evXnV0dOTm5o4YMYLFYrFYrDt37jAdIOoCtkDInV9++eXKlSstLS0tLS03btw4evQodlvIkIaGxpo1azo/Rw4bNmzu3LmMhIQGC3d3dzU1tc7bW1tb33333YGPZyjR0NC4cOFCUFDQ//73P1dX15ycnGXLlpFMQklJadWqVWTiDSRXsIhSvpSXl1tYWFRXV1P/LkpKSh0dHdu2bTtw4ACOGZOJJ0+e2NjYdP7m//77766uroyEhAaL2bNn37x5s62tjdqioqLi6el5/fp1BqMaStLT05ctW1ZTU1NSUkL9ntls9rp1606dOsVsbEgEtkDIl40bN9bV1dHvbSwWS1tbe9euXZg9yMqECRNcXV1FKiGGDx8+adIkpkJCg0XnZqrW1tZNmzYxEsyQNHHixM8///zly5f0LK2lpeX777/vrgsJMQUTCDly8eLF0NDQlpYW+sa2traamppVq1ZhW5EMbdmyhT4LnrKyspeXF6ZoqEekLIm+xcDAwNPTk6l4hp6CgoJ3331XSUn03sRisdasWYMzv8kVTCDkRVlZ2b/+9S8Wi9X5rZaWlujo6CNHjgx8VEPV/PnzDQwM6FtmzZrFVDBoEDE2NrawsKB+VFFR+fDDD3ECA1lpbW1dvHhxQ0ND51mu29vbq6urN2/ezEhgqEuYQMiLd955R6Tzgq69vX3Xrl1dzgyB+kBZWfn9999XUVEhP7a1teEMEEhCPj4+9MaqdevWMRjMEPPvf/87ISFBpBWW0tLScu7cuYiIiAGOCnUHEwi5cOHChYiIiM7/2bBYLGVlZRaLZW9vv3//fj09PUbCG5I2bNhAtfeYm5ubmJgwGw8aLGbPnk3+U2Wz2UuWLNHV1WU6oqFj8uTJq1atImucqqqqdt6BxWKtX7++oqJiwENDXcBRGMwrKiqytLSsra2l/i2UlZXJa2dn57fffnvRokVGRkaMxjg0+fr6Xrp0icVibdq06ZtvvmE6HDQ4tLa2jho1iowqvHfv3ltvvcV0RENNW1tbfHx8ZGTkpUuXXrx4oaqq2tzcTL3LZrN9fHyCg4MZjBARmEAwb/bs2VFRUe3t7SoqKm1tbWw229PTc8mSJXPmzBk1ahTT0Q1lycnJjo6OAHDz5k2sg0OSW7p06eXLl83NzbOzs5mOZSjr6OhITk4OCwsLCQnh8XhsNrutrY2UR1y+fHnx4sVMB6joVPp2WHNzc2ZmZmlpKU7uIaXffvvt119/BQA1NTVnZ2cXFxc7OzvSdhcbG9vlIUpKSlwu19TU1NTUtMuiS8ZVVlZmZmZWVVXRnxvkk6mpaWFhYXl5+eXLl5mOpRc0NDT09PQmTJjQZTPvIDJI/5KQzsSpU6fK/9dGVVVVS0vL2tpaPp9GOjo68vLy8vLyqqqqunuatbW1tbW1LSkpSUhIePjwYW5ubkdHx7p166qrqzU1NQc44CFG2r8kvZq3srKy8tixY29Oe0tZBauOmcfR0ly2fFl4eHhra6uMZiaVSkZGxkcfffSaqTnTvxhFoays8tab044dO1ZZWcn0P37vkL8k06ZNo+pYUX+zsLDYtm1bRkYG0//4HR0dHa2trdeuXVu2bLkmR4vpXwwCZWWVt1z78pdE0i6MhoaGr7/++uChr9uVOrje4zXdXh8x0WDYGA3lkYP7AYhZbbVNyiNUQamXrQjtHa3VjY3PK+uSCoQxOVUP+GPNxn175Ni8efP6J8ye5ebmbt26LTIyXGek6XjOLFPNKbrDrYarjFJR6nrlIfnR1tGSVXnDRpuxX13fNLfV1b4qflmfnltz92l1FEupfWfAjp07dw4fPpzp0HpA/pIcOnRIWVnZx8fH29vbwcHB0NBQQ0OD6dB6JygoaO3atUxH0bPm5uby8vL09PQ7d+6Ehobm5ubOmzfvm2++ef3115kKKTw8fOvmj/Je8F8bNcWC62HCcdRWN1Vnc1m9LOp/1VavoqSqxMIctO+a2+qEzcUv69Jzqu7wKqOgl39JJEogrl69umnLh+VVFfqb39Jb7YRJg1xpel4pOHynLCx9useMwP+cHOC/C01NTfv27TvyzVFtddMZhp+8znVngTz2qgxhzW11iSXnfi/6dtRo7ncnvl2wYAHTEXXr6tWrW7Zsqa6u3r17t5+f36BLGga7jo6OqKionTt35uTkbN26dc+ePV0u7dF/cnNz3/f/163YmDf0Fkw32a6tPm4gr47Ea26rS3h59rfCb0eN1vruxDFJ/pL0kEB0dHR88sknX331le5Se+OPZ7B1RsouWiRLtQn5+Z9GgaAu9PKVGTNmDMxFS0tL5831Sf/jiZvBDme91fgowKC6lrLYgi9TSoN37dr1xRdfyFtxDPWXZO3atV9++SUOSGZQa2trYGDgp59+amVlFRYWNmDDUGNjYxctXDKSZTjbdP9YTZeBuSjqrbpXZdHPDyQXS/SXRFwC0djYuHL1qvCIcNOv5+osseuHUJEstTe35n10rfL6k//+57/vvfdef18uMzPzn96zG6uVlr8eNFqdseZQRJdadjkib+e8eXPPXzjX3arlA6+xsXH16tURERGnT59es2YN0+EgAAAejzd37tzW1tbIyEhra+v+vtz333///vv/shk9Z4H5ERUlbMOWd8klwddyev5L0m0C0d7evnjpkl9v33z9h2WcSWP7LU4kUx0dBUfuCo7+duHChbfffrv/rlNQUODsOEm9xXiZ+Y/DVbAMSo68ED76Jfcdr39OvxwS3HlBgYHX3t6+dOnSs3l5uQAAIABJREFUO3fuhIWF4ZQJcqWiosLHx+fZs2ePHj0yNjbuvwtdvHhx5cqV7iYfTR/3EXZxDhbPax79zFvvNUvcX5Ju/77s3r07PPzaa6eXYPYwmLBYxtvc9d+bvHb9uvj4+H66SENDw4L5i6Bp5NvmZzB7kDdjOZOWm/8YER756aefMh0LwJ9/ScJDQkIwe5A32trav/766+jRo+fNm1dXV9dPV0lMTFy//t03jTbOGLcNs4dBZJzmpJWWP4n/S9J1C0RoaOjixYtfO+ojVz0X8YZ7AGCyYJ8M95REW21TeXhmVczTqpinWh7jRy+YqDXdXFmj6+KjXu3cX9o7ctZf6kireJqZpa2tLfPTv718xfVrMe9OiOSq9uNTS4/2xBsCwL7JAhnuKYmmttrM8vCnVTFPq2LGa3lMHL3AXGu6mnLX9YC92lmGUssuhz3bGhISsnDhwv6+lhjkL8lPP/3EbM8F6ceVpGBc8j0lUVNTExwcHBERERERMXfu3BUrVsyaNau7qQu67GyWVSRiPH/+fNKkSTNmzPj5559lfvKKigorS2sd1hsrJvzY20EW0vjkNwMA+GLaSxnuKYmmVmF6WQSvIppXEWOp7fGG7kKLUe5qKpw+7EwCE0GPs7yRn1oScufFMQDwsTg0YbTXCPZomXwKuuSS4NCn3f4l6SKBaGhoMLca3zZZ1+zIfJlHIw2mEgj+rsiSc4/pW7Q8xlsGrZB+5/7TVtucPu0/axet/O9//iPbM9+9e9fd3X2V5TlzremyPXNvMZVARPJ3PS45R98yXstjhWWQ9DvL1jX+RyXKD7JzeEyN7WxoaLCyspoxY8aPP/7ISAAUphIIf3//wMBA+pa5c+eGh4d33jM/P3/s2C7aegcggQCAX3/9dfbs2Xfu3HFzc5Ptmf/1/r8unLmy2eGeav8nzXRMJRDXcnYlvDxL32Kp7bHa5kxvd65uFhx66Nz5ECrOoronJ5Jmihy7xPK77pIVaYRmby1mxWfnZHX+S9JFArFnz56vjnw98fdNw3RxkBXUPylO8zhptHma7kpHVUPNZkGN4LvfS849tv/9QzUz0Yf7Xu3c38oup/K3XUtOSn7jjTdkdc62trY3bO3bSse8bR4kq3MOLsX1T06meUwz2uyou1JT1bCmWfC74LvHJec+tP9dW81Mmp1lrr6l/ETaWzs+3rp3797+vlaX9uzZc/To0adPn+rr6zMSALP++OMPOzu73f/X3rnHNXVli39RVKA8whshAQQHgiDiCypiLwVlrLcGbIso2qjtjBb81eJMKdM7RRkVp3MRWx8dQWlnrIxvqsXYep1YlJGHBRERxQAangGBYAgPCQXk98eqp8eTGBLyAPF8P/5xss9+rBPJ3uusvfZaiYnr1693cXGpr6//7LPP0tPTKysryQnBEVQgUlNTP/roo1GRlsPh1NTU3Lx5U4uhve7cuePnN/NNj92zHJZrq8+xDC7qIa6b5zqutjRidvSJcuv3FzUd+UNAnq0J9feuvDIqEEumbl3AipEfSDbQuSPfy8smjOPxV0sjpmyg8/qDYxfub18xLW2GvfZf+3v6xXtKFnz8iYKZhGpTkkgkKam7HDf/F609IN2lIgCwi/QzYjIAwIjJcFgzFwC6yxVorGpV1jV2kX7mM5iJWxO12Ofx48cFlYLfOidpsc/nC1F3KQD42UUyjJgAwDBiznVYAwBN3eUaVtY6phNtFzh+mPK/uyQSiR6GoyCRSFJTU7ds2fJiag8AUFRUBABcLhcTvbq4uMTExADAjRs35Cvfu3cPAGbNmqVfGX/l888/r6qqOnHihBb7/OSTPzMtfGc6vCgZKxq7SgFgpkOkpRETACyNmAGOawCgqUvB71155Ye9NQDgZDZd4UBtj6oBwM/+LWxrPMFi7uRVAFDWekYXz2U60fa/mIpnEqqyeeTIkccvDTlw5+pCDhURZ5eLz5ZL+JWsuGC7SL/SV/cBQKBoG3ljAq/nliW0fVtWt/0iehvYRvhiD0q2MPCWQhTW/1kkBYCJdqZECapWvZVtGlbWOQYGDu/P++H/fdvY2KitZJ4HvkyfZv26jbGbVnpTkXJxdrn4bKWEH8yK87OL3Ff6KgBsCxSRNybwOmFuWVnbtxfrtqO3ga/tL8q4ki0MvKUQhfWlP4sAwHSiHVFiPskeANp6KzWsrAvmOnD/07wnMzPzww8/1M+IBEeOHDE0NMQlU2+cOHHi2LFjPB4vMTGRy+Wy2WwAGBoaIm9M4HVLS0tmZmZ8fDy6JqxcuRJ7ULKFoeRAvML69fX18CRrBoK61J07d0b+hDrDw8Nj2bJlBw8efOedd7TSYWNj4w8/fL/C64BOHSdvtWaXtZ4RtPNDXDfPdIj8omgBAOwMbiJvTOD1n+ffKm3JunB/O3obEG/qSrYwFHohIArrS/tEAGBGckSwMLIHgNZHiiYHdSpTqOssBgAXxq/LtPEEC23twigkwGlNbqOCmYRqgcg6+63l6+xRjDXZkJJTvTFLwq8EgMa9uag9PIv78dl12y8CgIRfWb0xS5yt/Re7xr25AED2gpxoa0qUa1JZD1i/Pm2CySSFe64j4MGDBz8VFc6weVsrvalITkNKVvXGSgkfAHIb96L28Cyy78dfrNsOAJUSflb1xnJxttblyW3cCwBkL0h0XMJyTSrrAiNDM7bl61mndPJeopyzZ88uW7ZMn7Emt2zZEh0dzePxACA5ORm1h2fx+9//Pj4+HgB4PF50dLR237yR5ORkACC7TGLIJiynUFpaCgA2NjYZGRkGBgYGBgYZGRlSqVTrUinhnXfeKSgoaGlp0Upv2dnZRhNenmb7ulZ6U8il2pSTd2MF7XwAuFy3B7WHZ3Gm8qML97cDgKCdf/Ju7K1W7U8O6M9I9kLA3zuWq1W5qfs2AJhMsC5uPvpprtOnuU7FzUdlA51Ys6ajEAAsjZi3WrMzb6/9NNcprzG9p1+s9SciMDI087J+Pes0dSZ5ygIhk8muFRS6fTFqvpPS/JrGvbnyPgTPqm/qPdlj/1uG5sbS/JqKqMPis+WEEeJZaMuz8rnAYKKhRZDbpZwfN27cqHlvV65cMTAwdGco+5Vqlxppfm7jXnkfgmfVn2zq/ZbHfmND8xpp/uGKqHLxWcII8Sy05Vk5ZvkNIzj7pz/29fXpM2+nTCYrKCjYsGGD3kbMyclJTk6Wdzh4Vn0/P7/MzEwGg5GTk4MHEAgjxLPQgz/jzJm/nnrbsGEDj8dDIXU9LrJo0SJDQ8MrV66sWLFC895yfrzsxggyNJioeVcKEXbkXa7bI+9D8Kz6jmY+6GMo7Mj7uiyqrPXMsO4COn2nVwWym+R3VR8L2v+Nj4A606XaFEI1uXB/e01HoY6cKBEPq9fOXPsDZSZ5ygJx9+7dgf4B0+mjtmfZmV8DAKg9AIARk+G0IVBJ/cnvvYKv+4wgNwBAuwUNGZPpk2/eKtNKV7du3XIwnzrxJf3FN6zpzAcA1B4AgGHEDHRStia9Mvk9fN13YwQBANotXnAcTX0HBvoFAoE+B717925/f78+d/QvX74MAKg9AICLi8sf/vAHJfU3bdqEC3NoaCgAoN1iFEFzSGFhIZHn8Pjx4zwe78KFC3qT4eWXX2az2eXl2rHj3iwtczTVYYBLYUcBAKD2AACWRswglrLJIZD5Hi6u7pYLAADX4DELGktiZvF2BjfhvxXT0gTt/KqHl8nV/jz/lpK72sXJTMFM8pQForm5GQAmOY1ahnU09aP2gCg/vIAbBGqhrg/E884kR4vmBw+00lVzc7PZhGduCuoCNPWj9oAoP7wwgmPQ6vpAPHdYTHIEgObmZi0exhkWnEl0GtyQAu4LoPaAyJ90IDOCBBDq+kCohXwPK1eujI6OVsU0okVYLBb+32lOc0vzTJdn/rg0B1++LUmTg/xJBzIjmBzU9YHQIvL9z7CPOHk3lmw4WcCKIewNntYhAKCKWWXEWBgpmEmeskD09PQAgOHLujI6PY+w4oIBYLBLRpTgNZZrUlk/GJpO6u1+pJWuHj16NAHGSnqF0SKYFQcAssEuogSvsVyTyjpikqEpAHR1dQ1bU4vgTGJqqrZ+P55ITEwEALIfA15juYro2TRiZmamrZCUMtmjSYZjPbm8dglx3QwAhKcCcY3lmlQmQMMJ1iHvVuC1Ts0qCmeSpywQv2jBo5fHjxUX3Lg3t08kJYwQfSItuxGpa2YwYdsBQH9bD+EaKWvoAIBJTAV2GrUq6wkDre3dDg0N6TkSbTArLrdxr7RPRBgh0HVZi6hrZrAzYQNAT38b4RrZIWsAAMYkBS9balXWEfhfpp94RATk8w76ITExMTk5ub6+njBC4CEILaLud4gZqlpaWggnhtraWnjaTEIQHh7O4/E6OjqIyqht6PkYi4HBMPmZVUfXf3Ihrpsv1+3p6BMRRogObU8O6poZ7F9mA0B3v5hY2iWyRnjahqpi5czbawXt/C1BAuIuqhcBTmuItuRnJ9/VEQpnktHPtUPGIsgNAFqPlqDe0CeSth4tGV2RTDzsAKAtq4wQ6eH5CgAwm6Xgb0KtyjTD4mYRBAAlrUdRb5D2iUpaj46uSHYmHgBQ1pZFiFTx8DwAMM0U7PerVZlGE0JCQgAgIyMD9Yb6+vqMjIzRFWnatGkAkJmZSYiUlZUFAAEBCjJZr1q1CgDIHg94vXz5CxGCaQS4W84HgOvNR1Fv6OgTXW8e7cnhZQ8AuNmSRYh0R3weAFjmiiYHpZX97N8CALJPA1772i2FJwc4r5POZeBdtvVCHT6eIrQWdEwrMILc0AgxWuce5TH1nmwVxqaI5MD1N/WejNfkmBPDVqZRCzdGEBoh9HbucVgmm3qzrcIoIvk7cCebeuM1OebEsJVptEVoaCgaIRQekhwV/Pz8OBwORaSYmBhiC5kcc2LJkiUcDic6OpqcRDcxMRF9PGnkcbdcgEYIhYckRwVHM28vmzCKSAFOaxzNfvm9k2NOKK/saR3iZRN28m7sybuxxN0Q183oAWppxFwxLe3k3VhKWy+bMN0+oRxjS4EAAOeEUBO2nXwgqVFkamrEw4sCIj+WVRjbNvyZ3sVqVaYZllDnBDsTtnwgqVEkYmqq4OFFIj8W2yrMxzZcK5VpNGHHjh0+Pj7ygaRGka+++io7O5tIpsXhcKKiohTWZDAYmZmZFy5cQPljYmKWL19Oaw/KWTQlwf5ltnwgqVHkLfbuCvFFIj+Wl81vfe04I6hsPMFiudf+qoeX8ekCnNb42i1F7QGZYR9hZcy60XK6qOkIJTSWPnlqx+vUqVMrVqwYa4cRCplJDlx/978tHW1BnkvaeberYk5rZT8yKiqqIqc3yvOg5l1pQlIh09+Bu9T9b6MrxnNEUiHz5MmTz1q6dAHOJHp2vJDHwMAgJiYmLS1tdMV4jsA/klOnTmnelYGBwUrvdF87varLn+Y6BTitifCgJwed8GmuE2UmGVs+EIXMpEJmUteNRvw42CVrOlgAABaBCvLU0Yx7kgqZSYXMxq5fcgfIBrsKmg4CgKuFsuggNC8gGL3x2rVr+FEqle7evRsAgoNH7QAUjU7B+IwNnb84yckGOvMa0wHAjUFPDvpjbG1heB1eJVh37DbnKe8nqzC2VajHaIlEM4qs8jp8TLAu4/ZTNkC2VdioZxKnGWucO3cuPDw8MPCpxYPD4SxZsmS0RKLRKdzp32TeXpte+tTk4GUThhERaPTD2FIgrMLY3qfWdebXoBOiA9ffItDVKtSDnF2C5sWBbRW2zvtUTWc+OiH6O3BdLQI9rELJ2SVoaACAw+H8+OOPly9fRo/FmJiY4ODgJUuW6C0ONI2e8bIJ+53fKWFHAToSBjitcWMEelqH6C6WM408Y0uBAABGkBsjyM05gX7FpAEAcGMEuTGCQp0TRlsQmrFOaGhoaGjojh07RlsQGj3hbrnA3XLBoin05DBqjC0fCBoaGhoaGprngjFngdA65DgNo8hgl0x87o4w4RwA4PFUSpoPmbC9LasM927cU8KtF3uNINMHjVqQYzaMBSol/GOCdWNHHhoy5LANo4hUKiVOe3I4nFWrVtE7NfqBHMVhFJENdJa38b6r+hgA8PAqOQmIwvwdupOZtkDoiepNZ1B7AIDGvbmlr+7rqfg1x1VPxYPSV/cR4aeECefux2eTc2rQjHse9FQcE6wbbSloxjStra1cLjc6OhpzZPB4vOjoaC6X29raOtqi0eiJ04JNqD0AwOW6PV8ULWjursCPWg/mPSzj3wIxFhBnl0v4le4p4Q6r5wCANL+mIupwy5HrGNxisEt2KyzNKozttvMNIyZjsEvWcuxG3faLkpxq2wjf0ZadRh80dt2gHDahoZEHw1IdP36cSNF54sSJ6Ojo7Ozs9evXj65sNHrgVmu2oJ2/zHOXv+NqABB25H1dFlXUfIQc+mLJ1K0LWHpKoUJbIPSB+Gw5ABAhKRlBbgDQklmMHx9ViwHA9k1fTCFmaG7ssGo20Ypm3FPQdDDjNifS48BoC0Iz1tmwYQMAkBN84zWW04x7ylrPAAARsBJjUxY1HcGPD3trAMDJbLre5NGtBUKaX9POu4MrJSsu2HqpN5EVoqfigfSqsG77RQCwCmPbvulLvG0TXgsSfqVg3TGrMLbD6jlWYWwAEGeXV2/MAgCPA5Hy9cl3lRz+JKSyCmM7rg/E5XxYgcngiApR6GzhdXgV+aOEX4lC4seu4noAMJ/7a44+Q3PjUXfa0DU10vw77bzilkwACGbFeVsvJTJEPOipEEqvXqzbDgBsqzBf2zd9bX+J0kp4LaC7ANsqbI7DarZVGACUi7OzqjcCQKTHAfn65LtKDoISUrGtwgId17sxglQRmAyOqJBnOTdcrNu+yusw2yoMJaSRJycn5/Tp0+np6QCQmJgYGRlJZJQoKyu7dOlSfHw8AKBPALG+El4LPB4vPDycw+GsX7+ew+HAkxd3ACC/zRP1yXeVeBgQUnE4nM2bN5MjTysRmIyShKUKnS04HI7CBN/4UOMYYUdeedt5XClDXDf72C4lEkw0d1fc7/jPhfvbAYAS1JnwWhC08zNvr/WyCfN3fAcTRtxqzcY0EyumpcnXJ99VcjSUkMrLJiyItZ4calqJwGQUuiwgCh0XuNO/IX/E/N0rpo1arFUdKhC4/BMfMcWU96l1jCA3yi3MHAEAZIs9UQfvzuDHPjxfQXgJoKJAqY+FeNcqjE1ZtpGGlByiE+yZFReMp0aVCKzhV0HQdLAAdSayAtRZWAsARkyGOLsck4C4bl1s97bfOHaixOWf+IjpptZ5n3JjBFFuYRYJACB0AnJzvBs7g1/x8DyRsAqXYUp9Ym3Oqt7Itgpb5XVYXqqchhSiE+w5mBWHJ0iVCDzyb+EJtNekcnD5Jz5ieqoff/wxNDSUcguzTsDT7+hEHbx78+bNrKwsIsEVKgqU+kRGq+joaA6Hc+7cOXmptmzZQnSCPScmJuIhUiUCa/hVrF+/nsfjnThxgryFgeUa9jyWweWf+IgJqH7nd8rdcgHllqCdj2sqOTEEUQfvfjDn0h3xeSINFSoKlPpECquTd2O9bMIoyzZyqTaF6AR7DnHdjGdKlQis4VdBkNeYjjoTWQFq6r4NACYTrIubj6KfxDLPXb52HN3FxtChAoGL8eyiP6JlvutG421ORjvvDiPIDW9N5603n80CgD6R9EbA59Ubs8gKQXepKEDwP4bmxugxcCssjRUXTC6h1G85WoJjYRLwxr250vwaytovza9p3JvLigt2ip1vaG482CVrSito3JuLlgYlAlMebcTmAdPpjq5bF3cW1pIVIFSeyJpN3faLnYW1HvvfGq8RtHAx/uPsIoYRE554ANxp57kxgvDW+uk8lvlsAJD2iT6/EZBVvZGsEIi6S/8nQGBsaF4jzT9cEZV2KyyYFUcuodQvaTmKY2FC8NzGvTXSfMraXyPNz23cG8yKm+8Ua2xoLhvsKmhKy23ci5YGJQJTHo3WBrQOLsZ1dXUuLi4AcO3atcDAwNOnT4eGhuKtwsLCefPmAUB9fb2rq2t0dDRZISgqKuro6GAwGDk5OQsXLpw5c2ZiYiK5hFI/IyMDx8Kc4MnJyTk5OZS1PycnJzk5OTExMT4+nsFgSKXS1NTU5ORktDQoEZjyaOqe6cB4WXv27CFUHCwZ32m3cDH+eF6xpRETABo6S9JLOeVt590tF+CtmFk8Z4s5ANDRJ9p1zf/k3ViyQtDYVbolSGA8wQI9Br4sWRTiuplcQqlf3PwvHAtThF+u2yPsyKOs/cKOvMt1e0JcNy9gxRhPsMBA2pfr9qClQYnAlEcb8fkIJ7PpS6ZurekolFeAvixZRFx/V/WxoP3fy73260iH0KEPBG46tJ+/I82vGeySmc9mBYq2odtgoGhboGibsYtVT8UDCb+y9WiJfPPJ772CyyexfuOqTy4hM2XrYlz4jZgM+9VzAKCdd4dSpzO/htyPobmxU+x8AJBeFSoXWFswgtyc3p/vdXiVe0p49cYsaX4N+e7csgT8ZjwOREr4lZKcai0OPabATYc77edrpPmywS6W+extgSLMj7UtULQtUGRl7PKgp6JSwi9pPSrf/JXJ7+EeBLF+46pPLiGzeMpWXPgZRsw59qsB4E471Q5c05lP7sfY0Hy+UywACKVXlQtMo2vQPn/69OmcnBypVDpv3ryhoSFMkTU0NDQ0NOTu7l5WVsbj8TIyMuSbb9q0CfcgiFUWV31yCZnU1FRc+F1cXPDN/vTp05Q6ly9fJvfDYDBwD+XSpUvKBdac0tJS8i4Gj8e7f/++Vnoes+Cmw+02nrAjTzbQ6WwxZ2dwE7oN7gxu2hncZG3i2txdIWjnX29WMF0EMt/D5ZNYv3HVJ5eQWTI1CRd+SyPmXMfVAFDedp5SR9hRQO7HeIIF+i3e7/iPcoG1hbvlggWsGO70b5Z57jp5N1bYkQcAaJOImcXDr2VncNOKaWmCdn7Vw8taHJqMDi0QzgmhEn4l4eVA8TYgv3ArRN6Ar/x1nBxWATWJlsxiyvKPIxZ5fUZpW7f9otP785ULTEZdHwh5bMN9hAnnmjMK5dUjAMDcH+Kz5eP1FEaoc0KlhE94OVC8DchbCQoxnWhLKVEe3NrG+Ndz0qhJFLdkUpZ/HPGzIi9K24t12+c7va9cYDIj8IGgUc6OHTt4PB7h5UDxNiBvJSjE3t6eUqI8aoKnpydxjZpEeno6ZfnHES0tLSlt4+PjP/roI+UCk1HXB+LEiRPx8fHypzDMzc3JRpRxxqIpfxK08wkvB4q3AXkrQSEKpgulr+PksAqoSRQ1HaEs/zjijnzqdHHh/vYFrBjlApNR1wdCHl87zndVH+c3ZrhbLpBvMsM+4uTd2LLWMzpK9q1DBcLUe3KgaBvhLCnhV1qFsZ0TQk29J7ccLWncm+vA9bfh+EywMplkb37dL0V3kmgusNbHQl0BNy9YccGNe3PJ6hH57rhksqn3tkAR4SxZKeGzrcJCnRMmm3qXtBzNbdzr78D1seGYTLAyn2Sfcl2B99nYEXi0RRv/+Pn5DQ0NEc6SGEBpx44dfn5+uMUQExOzfPlyGxsbR0dHBweH0ZZXmcAa9izvsbFy5cro6Ohjx46NYwXC0cx7Z3AT4SwpaOd72YQtmvInRzPv4uajl+v2BDit8bVbajLB2sLI/q8FM0ZbXmUCa30sVIbQ8+NZKL+rCTqPA2HqPdnUe7LNUh9Z7cOKqMMSfmWgaBuGVCLMA1qJmNQnkqLhAQBkwnYAYMVRM/k6cP1bMovRkUItgSl11PWBEKw7JuFXksftF/egPABgwrajyI9fCN4dx0w29Z5s6u1js/ShrPZwRVSlhL8tUHROmAAAhHlANtil+UDSPhEaHgCgXSYEgGBWHKWOvwO3uCUTHSnUEphShzYz6Ag/Pz8/P7/ly5ffu3dv4cKFPB5vaGgIjy8S5gGpVKr5QPX19Wh4AICqqioASExMpNSJiYlJT09HRwq1BKbU0VZcS4VHM8YZjmbejmbe0+04D3trvi6LErTzdwY3oasgYR6QDXRqPlBHn8jyyXQh7hUCQIjrZkqdAKc1RU1H0JFCLYEpddT1gci8vVbQzieP29MvRnkU3sUvBO/qAh36QAg/OV/ITOq60QgARkyG8RRrSgVc5tGTUfPhWo+W9ImkANAnkrZllQGAhdwGhA3HBwCa0gpw/QYAaX5NITOp6WCBKgKPGNs3fQFAfO4Xn4zBLlnbt2WEPHiAs/VoCaFIofeD1cJxm8T8vPCTpEJmY9cNAGAYMa2Np1Aq4DKPnoyaD1fSelTaJwIAaZ+orC0LANwsqBsQPjYcAChoSsMfJADUSPOTCpkFTQdVEZhGd8TGxhoYGFy7dg0AXFxcfvOb31Aq4DKPnoyaD5eRkVFfXw8A9fX1mZmZABASQs0QvXz5cgBITU0lQkDm5OQYGBjs3r1bFYFHDD4gulZgCZ7C0MqDj1myqz/5NNepobMEACyNmNYm1Ikdl3n0ZNR8uOvNRzGkY0ef6GZLFgC4W86n1PG1WwoAeY3pxHQh7Mj7NNcJBRhW4BHjZ/8WAJS3/aIvygY6S1uyCHnwLtnjAa/xri7QoQXCLmpmS2bxbc5Tbk3uKeEA4HEgsnpjVumr+yhNZMJ2SoYItbgR8DlxzYoLlvdgYAS54X4B2f3CKoxt97afcoE1xDbCV3y2XJhwjohmTZbQiMnAL4QslQPXH506xyUz7aKKWzIpsRfD3VMAINLjQFb1xn2lr1KatMuEZFcGdfn8RgBxHcyKk/dgcGMEBbPi8HwmUci2CvOze1u5wDS6Zu3atenp6YGBgeTCQ4cOAcDx48ejo6PZbOovpaqqiuzKoC6urq7EdWJiorwHQ2hoaGJiIp7PJAo5HA6Xy1UusIZwudzc3NyFCxeSC4lxxyuzHZYXNR1JL33q17fMcxcArJiWdvJu7Bf2zoTgAAAcqklEQVRFVA8Dca+Q7MqgLruu/Wr9DXHdLO/B4G65IMR1M57PJAq9bMJmOUQqF1hDZthHlLWe+a7qYyKaNVlCT+sQL5uwk3djiWOoz5JfW+hQgTCfzSIHb2DFBZvNYuKiaBvhO9j9Mzmz1KCs/1ZYmrSwdsQKhHNCqCHDuG77ReX+j84JoSZsu87COowWRU5bpURgzfE6vIoI84DOH2QJbSN8jZyt2k7dxPBW5LBa4xKW+Wxy8IZgVhzTbBaedPC1jfh5sBs3MoJZcX52kf2DsrRbYbXSwhErEKHOCcaGjIt125X7P4Y6J9iZsOs6CzFaVLh7ipf1YvTAUiIwja6ZN28eOXhDYmJiQEAAnnRYuXJlV1cXbmQkJiZyudze3t6ZM2fm5uaOWIHYsWOHpaVlfHy8cv/HHTt2+Pj45ObmYrSoQ4cORUREoMOmEoE1xN7ePjMz80VLpuVsMYccvCHEdTPLfBaedJhhH9E32E3OLNU/KPuyZFFNR+GIFYhFUxKMJ1hcuL9duf/joikJ9i+za6SFGC1qmecub9tfpgslAmsOd/o3t1qzy1rPCNr56PxBSGg8wWK51/6qh5cV3tUFBuRNuFOnTq1YseK5i4E4RvJtjk3aeberYk5rZas1KiqqIqc3yvOg5l3pjbGWb3NUSCpknjx5MioqSm8j4kwy6okr1WWM5NscRfCP5NSpU5p3ZWBgsNI73ddOCxZcvTFG8m2OWT7NdaLMJHQuDBoaGhoaGhq1oRUIGhoaGhoaGrWhFQgaGhoaGhoatdF5HAg9QHs/0DyLF9z7gUYtXmTvBxqgvR/Uh7ZA0NDQ0NDQ0KiNXi0QY+S4BDmTBQoz2CUTn7uD2b3xFKVVqIeKmTCxLflIKuUkqkzY3pZVhkdDyadGVexZXip5+ccHY+TEBDmZBQojG+y6Iz6HCb7ZVmG+tm96WIUqz75BoElbAkwmTnwz8hK+aIyR4xLkTBYojFQqPXXqFGb31uSMZVlZ2cyZM0f2gOS28hKOD8bIcQlyJgsURjbQWd7GE7T/G8NX+9m/5Wkdom4mTMwGrtbT4bjk46zPOsXa3F3xZcki7FxefnUZD1sYmlO38xKGhQAAYsH2OrxKlbbVm84QSSswRNUMfiyRPqOn4sGtsF9jKQoTzkn4lSrm6dZEKhotcqluJ0aGAABCFVjldVjXbZEHPRWYTJxm7PPJJ59gWAgAINSIc+fOKW9FobW1debMmSMTQJO2NJpzseavGBYCAATtfFQjuNO/Ub2H5u4KzAauFqcFm4iEFxje6oM5l+RTb/T0i8nJvjXnxVUgiHf3nooHLZnFrLhg+9VzjJiMPpFUtP9qS2axKmExxdnlEn6le0q4w+o5ACDNr6mIOtxy5Dqm+Rjskt0KS7MKY7vtfMOIyRjskrUcu1G3/aIkp3rYOFFKpELJlWQEpdEc4s3+QU9FcUtmMCtujv1qhhFT2ie6Ktpf3JKpSmRMTdoijV03KOEvCdmUpP2k0SfEm31ZWVl6enpiYuL69etdXFzq6+s/++yz9PR0dcNiJiWN/KdNaStvh6DROsS7e3N3RVHTkRDXzXMdV1saMTv6RLn1+4uajqgeFrOhs4QSv1IVbrVmC9r5yzx3+TuuBgBhR97XZVFFzdQMogBwqfapkOfydgh1oX0goLtUBAB2kX6Yy8qIyXBYMxcAusuHN+mIz5YDgG24D37E4JKE2eBRtRgAbN/0xZ4NzY0dVs0mWulOKhotIuouBQA/u0hMx8UwYs51WAMATd3D/ydq0hYACpoOZtzmRHoc0EB8Gv1RVFQEAFwuF3Nxubi4xMTEAMCNGzdU72T37t0i0Qi3pTRpS6M5jV2lADDTIRJzcVkaMQMc1wBAU5dKv/e8xvT0Us6KaWpn/ylrPQMAvna/aB4YepIwhJD77+xrVrdz5ahngRjskhV5febA9ScSaSLCT84TWS6JdNgAoCQqs7w/hHyJNL+mnXcHozsriU6t5F1cFReBn0VSAJho96tfwiR7cwDorWwbti1lQwH3MjwOROLHruJ6eJIrCzE0N1bRa0ETqUYL2WDXZ0Ve/g5cIpcmcl74CZHoksiIDQDoE+BrqyBRvbw/hHxJjTT/TjuvuCVTeYBqJW/qqjgQSH8WAYDpRDuixHySPQC09Q6fbF2TtgBwsW77Kq/DbKuwrOqNqtR/jpBKpZaWljExMUQiTSQ2NpbIckmkwwYA9CdQmLFa3h9CviQnJ+f06dPp6enKo1MreVNXxYEAU3CR84k7OjoCwJ07d4ZtS8gZHx9/8+bNEWTX1KSt/pENdO7I9wpwWkN5S86u/oTIckmkwwYA9CeYYa9grpD3h5AvEXbklbedL2o6ojw6tZJ3cVVcBDBjn9lEW6LEwsgeAFofqfR7v3B/O3f6N5jMQpX6BJQtEtzLoCgiwo68C/e3fzDnknZTe6tngTA0N3bdurgls5jIZgkA/eKelsxi162LDc2NJfzKW2FpqD0AgIRfWb0xS5ytkv5FoSElpyLqML7NS/iVFVGHG1JyRtDPsKB7I9kpAZ0cyamthqXpYEEhM0mw7pjHgUhCYeosrAUAIyZDnF0uWHcM036SvzpdS6VnjA3NF7tuLW7JJDLUAUBPv7i4JXOx61ZjQ/NKCT/tVhhqDwBQKeFnVW8sF2ePYKychpTDFVHoXlAp4R+uiMpp0ElqK0x+QXZ7xHD35JxbumgLANsCReM13QaDwUhNTU1PTyeyWQJAa2trenp6amoqg8Hg8XgzZ85E7QEAeDxedHQ0Zp5Uly1btixcuBBdE3g83sKFC7ds2aKVp6CAmS/ILpOYGoOccEsJVVVVCxcuPH78uJ+fn7pDa9J2VDCeYLFk6taipiOUuaKo6ciSqVuNJ1gI2vlflixC7QEABO38k3djb7WOZK64VJvydVkUvpEL2vlfl0VdqtXJXIGZL8guk/h7JyfcUsLO4CYN82XkNaZ/muuUeXvtimlpZGVL3Cv8uixqxbQ0ea8IDVHbB4LxqjsASPOFxDIpzRcCgHUYGwAE644BwHTeevPZLADoE0lvBHxevTFL3dRQ0vyaxr25rLhgp9j5hubGmPK7cW+u9VJvwj+RYCycRDCd7ui6dXFnYW31xiwAwOdFg0RDSg6x6tdtv9hZWKuiE+XziDvjVQAQSvMJu4JQmg8AbOswAEBnwPXTeSzz2QAg7RN9fiMgq3qjQiOEEmqk+bmNe4NZcfOdYo0NzTHrd27jXm/rpZNNqb+QF/Ocwthn0aJFAJCTk0PYFXJycgAAk06Fh4cDQGFh4bx58wCgvr7e1dU1OjpaoRFCCTk5OcnJyYmJifHx8QwGA1N+JycnR0ZGyq+1o3hOQSqVxsfHJyYmqvuAGrYdRaZa/hcA3JfkE0vdfUk+AHjZ/BYA0JEwZhbP2WIOAHT0iXZd8z95N1ahEUIJwo68y3V7Qlw3L2DFGE+wwJTfl+v2+NgulV9NR/1Yh4Y4mU1fMnVrTUch2jDwu5INdF64vy3EdbO6X50qqO0DYeo92SqMTd7FF58td+D6o79hoGhboGibsYtVT8UDCb+y9WjJyMTqzK8BANQeAMDQ3Ngpdj4ASK8KR9ahrmEEuTm9P9/r8Cr3lPDqjVnS/Bry3bllCfjNeByIlPArJTnVoyWnrpls6s22CisXnyVKysVn/R246DO4LVC0LVBkZezyoKeiUsIvaT06slFqOvMBALUHADA2NJ/vFAsAQulVLTwDjV7w8/PjcDjHjh0jSo4dOxYTE4P+hkNDQ0NDQ+7u7mVlZTweLyMjY2SjXL58GQBQewAABoOBVo1Lly5p4Rm0R2pqKo/H27Rpk57bjiKOZt5eNmG4f4+UtZ4JcFqD/oY7g5t2BjdZm7g2d1cI2vnXm0c4Vwg7CgAAtQcAMJ5gsYAVAwD3O/6jhWcYY7hbLljAiuFO/2aZ566Td2OFHXkAkNeYLmjnBzLf08WIT1kgjI2NAeDxzwMvTVJmmXBcH1gRdRgPKciE7RJ+pfepdcRd8gv3iMEeirw+o5TXbb/o9P58SqGGPhDaxTbcR5hwrjmjkPDYINQgALAK9QAA8dlyvWXrfiwbMDLRjrXD2Nh4EKTDVgt0XH+4IgoPGrTLhJUS/jrvX5P75TSkqGjAVwL28FmRF6X8Yt32+U7vUwo19IF43ul/LAMAExMTfQ6KM0lfX5+RkZGSaps3b164cCEeUqiqquLxeD/++CNxd8uWLSoa/5WAPVhaWlLK4+PjP/roI0qhhj4QI+bEiRPJycmFhYW45aG3tvL09vZaW1tr3g8AGE0yHnj8s/I6Qaz1X5dF4SEFca9Q0M7/nd+vc8Wl2hQVjf9KwB525FPnigv3t6MmQUZDH4ixg68d57uqj/MbM7p/br9ctydmFs+U5JkxMhTOJE9ZIGxsbABg4OEj5R2ZzXAEAGlhLTw5FIAlANBytKRxb64D19/71LoZ/Ni5ZQkaCq0HWHHBADDYJSNK8BrL1QV1Bdy8wB7IuxXku/qRakDyiGFFnT1HhrW1tezxw2GrOZrNAIBaaSE8OW6AJQBQ0nI0t3GvvwN3nfep2Bn8hLllWhFMpwSz4gBANthFlOA1luuurbboHZDAk5+23sDhxGKx8mpz5swBgNzcXHhyVAFLACAjIyM5OTkmJubHH3+8efNmS0uLbiXWBomJiQAglf6qZOM1lishOjoaAAIDAw2egOXka120lUcsFmtLgbC0tHrUP8x04WQ2AwBqOgrhyVEFpydzRXHz0ct1ewKc1vzO79QHcy79ef4trUilU0JcNwOAbKCTKMFrLNcnaG5BxxEASC/lfJrrhP+wAvlaRR71K5hJnrI0eHl5AcCju62TJiuLnGVobuyeEi5MOGe92Kt6Y5Z7SjixRmJARuKMBnn9Uw7FtdCB608c6xi2rYZmBhO2HQD0t/UQY8kaOgBgEnP4+HGCdcck/EqynPggDlx/ouc+kdToSVf4heBd3UlF5pGg1Weadhxnpk2bdqjnH0MwZADKJiZjQ/Nw95RzwgQv68VZ1RvD3VMIL8JzwgQAIM5okFdW5ZA9rQDA34FLHOsYtq2GZgY7EzYA9PS3EWN1yBoAgDFp+DAMmrTVFq2PBPDkp603cLjy8nImU9mTMhiMQ4cObdiwISIiIjo6+tChQ4QH4oYNGwCAOKNBXpWVQ/bKBICYmBjiWMewbTU0M/j4+ABAS0sLMVZtbS0A4KnOsc/Q0FBFRcW6deu00pu397SWSoHyOsYTLJZ57vqu6mNv28Un78Yu89xFeCBiUEXijAZ5VVYOZa4IcFpDHOsYtq2GZgb7l9kA0N0vJsaSyBoBAE9x647M22sF7XzyM+KXgM+urVFaehTMJFQLhJvHVGnBU/v3CmEETgGA634pAGD52m8od2XCdgBAz8dn9WAVxgaArhuNWPPBP356ShKODwA0pf16ZkGaX4OnGIaVTV1MPOwAoC2rrE8kBYA+kfTh+QoAMJs1/P+67Zu+ACA+98sxrcEuWdu3ZYT8eICz9WgJoUih94PVQg+dSkXmUUF9UCB102dkzJs3r/fnrqbu4c0GUxiBAJBy3Q8AfmP5GuVuu0wIAOj5+Kwe8PRBY9cNrPnTg3+Q7/rYcACgoCmNmCxqpPlJhcyCpoNqPI9q2Jl4AEBZWxae0ZL2iSoengcAptksnbbVFkJp/lR3D229VqqIjY2Np6cn+h8oJzg4GJ4cfVy8eDHlblVVFQCg5+OzekCny2vXrmHN/fv3k+8uX74cAFJTUwnFIicnx8DAYPfu3eo8kEpMmzYNADIzM/E8Z319fVZWFgAEBAQobzgkB7lcd20pXL9+vbOzMzAwUK1WzyJowfzarvxhq7lZBgLAXwtmAICH9WuUu+JeIQCg5+OzesCTCw2dJVizUPTUXOFrtxQA8hrTiblC2JH3aa6Tkg5HjN3LHgBwsyWro08EAB19ojvi8wDAMtft793P/i0AKG/75fiubKCztCULAHztlqIrCfkf1iFfq4iwQ8FMQvV1eJMTcejMEfjzIlBq/jJ2t0EjgQPX34j0TuxxILJ6Y1bpq/so9eWjOtq+6SvhV97m/OIb5br1qbmDEeTGigvGyNBEoVUY2+5t7R9SQrdQylgOXH887qE8f4dthK/4bLkw4RyaXhBWXDA6QBgxGfiFUHpG5Ul5z8qlUpHum6LuhnacYTVnxowZTCfnioc/MM2GiZVrY+yORgJ/By5Z+470OJBVvXFf6auU+vKRGX1t36yU8IkgjItdt5LvujGCgllxuY17ye4UbKswP7u3R/BcykG3UMpY/g5cPO6hPH+HJm21whA8ruy8sDZa+1/LsCxduvTbb7/929/+ptyQ7unpiUaCmJgY8pv68ePHo6Oj2Ww2pb58VMdVq1bxeDxi2aOoGqGhoYmJicnJyWR3Cg6Hw+VyR/ZcSkC3UMpYMTExeNxDk/wd+sn9kZWV5erqOmPGDK30tnTp0uTkZFFXGdNc2aRta+KOL8oBTmssSXPFimlpJ+/GflFEDdggH9XRz/4tQTufCOC4ZOpTc4W75YIQ180Y3Zko9LIJm+UQObLnUgK6hVLGCnBag8c9NMnfobztDPuIstYz31V9jGYbJMR187PCXYyAIXgs6PhhzQbqTEI9hfHee+9114oll+8N2yO+ZNtFPbWW2Eb4uqeE4zUrLnjW1Q9n8GPhicMEpabHgUhcSt1TwuVdI50TQj0ORBLWfveU8KmpESqmoVKXqakR7inhKIxVGNs9Jdz1U1UDhnsdXkU8CDp/OCf8GqbGNsJ3Om89PoVVGNvjQCQlBpeOpEJavin28pk27AuQihgYGPx+/Xu3Hp7sf9w7bGU0Esy0iyIX+tpGhLv/cgI7mBX34ayrsTP48MRhglIz0uMA2iHC3VPkXSNDnRMiPQ74O/yyDIS7p0RMTdXcUUghEVNTw91TUBi2VVi4e8oi10/10FZz7kmuiLtr3333Xb2NSPDee+/dv3//woULw9ZEI8HatU/F/1+5cuWhQ4fwOjExsbKy8ubNm/DEYYJS8/jx46glHzp0SN41cseOHcePH8egkFjnq6++0orLoTxfffXVoUOHUBgOh3Po0KG//Y0aTnhs8ujRo3/+859a/FN55ZVXvNje15oOD1sTjQSzHZaTC2fYRyzz3IXXIa6b/xCQ98GcS/DEYYJSc8W0NLRDLPPcJe8auWhKwoppaQFOa/DjMs9db7F362iueIu9e5nnLhTGyyZsmeeuxW5/1sVAFLjTvyG+BHQcWTRFmw6IVQ8vt3UpmEkM5LXapeGcq9Ul3hc3GEwYn4Gu1U0KWshM0tFpDk16HvYpeu48uL3k4DeHv3nnnXdGKJ8cra2tv5nqOdvy3VDnj4ev/XyirmEgqZA5YiuChm1BqZyPhwYOVSyevcDj/PfqJXPSFuHh4TU1NaWlpRMmjM+cO+oaBgwMFMy3+mkLw8m5devWffv2VVVVaVG1+te//rV27bqNs/7P0cxHW32OKdQ1Knya6zRiNwtN2g7bMyh9isdDAwdu/nb2qx7nz1NnEgUqwt4v9shqHxIJHV5wum40EjaV56VnpCHp4pwA/9WrV2uxT3t7+79s21rwIE3SV6/Fbp9fGrtuEDYVfbZVheKWI+JHws+/eKb3gK754osv7t27R2SnfMG5du0aYVPRZ1tVqK+v3717d1JSknYNM6tXrw6cN//7mk+HYPxkEh8xDZ0lhE1Fn20156emI+JHws8/VzCTKFAgpk6d+sfNf2jadaX33jCnsJ5rCplJqiS07Cqux0ybWmfEPasiefPX1zp+qk3b/3etJ+LbtGnTlCluvNqPB4cGtNvzmCKpkKlKusv6ruI5DiNU0UbcVhXZxL33rjSlfhT/R7XyQGqXqVOnbt68ecuWLQLBMN74zzUqHpjMz89fv379yIYYcVtVZOvv73/33XddXFw++OCDEUmnbPS9+76ok1y/9rRj4zhDxSORdZ3FmC1zBGjSVgmqSN726F5Ow65nzSSKNymSkpL8vH2rucf621VK3DCOkXfOGPs9d1y5V7/933/duZM4Va9FJk6cePa7rJa+W+dr/qT1zp875J0z9NNWOb0DHSfuvevl7aGjpA+qk5SUNG3atP/+7/9uaxu7SeD0g7xzhn7aDsuHH35YVFR04sSJiRMnar3zOXPmJO9M/kH4F+3mcHoekXfO0E9bTegd6DgmWKdkJnnmvlpra+ucAP9uh5c8j6wyNFcWTo5mTNF9U1S5MnPl21Hf/POw7kbh8XjLIpa9xorXZ0wkGlXoG+w6VrVm0KzlekmRjlwF1aK1tfWVV15hsVjff/+9hcXwZ/Fp9ElycnJSUtJ3332nrbNaClm39t1TJ75dN/2Erg800miRvsGuzDvcAVNlM8kz3STt7e3/7/sfJjX0Cpb9s6+hQ2dC0miT9u8r7kYeDnk1OOOgDndMAYDD4Xz59y+viHbzahLG917G80VHX8M/7i7rndhw4f++HwvaAwDY29ufP3/+/v37QUFBGFiJZizQ39+/YcOGv/zlL19++aVOtQcAOJRx8LXQV/9RHnm77bxOB6LRFhJZQ8atiEcThplJlJ2z8PHxuf5TsYuRXcXSr8Zx/qfxweO+gYZdOdXvn4r5/fvfnzs/adIkXY8YGxv73XdnK6TZR6tWd/Q16Ho4mmGpluR8VbHUztWouOQnjIo4RvDx8fnpp58mTJjwyiuv/PDDD6MtDg3U1ta+/vrrx48fP3v2bGxsrK6HmzRpEu/8uQ0xvz9x9/1LtbsGHvfpekQaTah8+OPBW2/Yugw/kwxzUNPZ2bkwLz8i7A0B91/V647Latq1KieNdnh44e6dkLT2r4oPHDiwf98+Q0ND/YzL4XAKCvNeshb//dZrOQ27VIkPQaML2mU1x6vX/UvAfSMirKAwz9nZebQlouLs7Hz16tWFCxe+8cYbHA6nupp+IRkdHj16tHXrVm9v76ampry8PF3bHggMDQ337dt34MCBn1oz9pe+ViEePkAIjf5p7635V8XaI+XcN8JVmklUPVt85cqVjZs+qKoUWC32sn3bj/Gq+0sm2ve4oVGLn5s7H/5b8PD4zc7bTdGrV+363xQnJ/Xyo2iF/v7+/fv3/yVpOwxM8LNe4W3zhpOZn/J8GTRaof9xr1B6tUz8rUBy0cuT/eWB/a+99tpoCzUMV65c+fDDDwUCQUREBJfLXbRo0csvvzzaQo1/hoaGrl+/npWV9c9//vPnn3/eunXrpk2bdOE1OSxNTU0JH//p2PGjTMb02XbRXjaLGUaO+heDhkz/4957kqtlrVl32y+y1ZlJ1AhOMjAwcOLEib8fTPup4JqBoYH5VIcJk83AjFYj9M7joSFpX1/Nw54miYmpSeTbkR9u+nDu3LmjK1Rra2taWlrGoa9FTQ0mk8wdTNnGL1kZAu1+qxP6obtroLm1Szg0NDjvlfkbP4hZsWLF8xKvCWeSgwcPFhQUGBoastlsJpNJ+1fqCJlM1tbWVlFR0dnZ6erq+u6778bGxo66f8z169f37t337bdnent7rM2Y1sZTjA0sh7WI02idfujq6m9u6RIOPR7JTDKS6GYtLS1XrlwpKytraWnp6lI1oSKNtnjppZcsLS3d3d1nz569YMECY+PhE5bqk7KysmvXrlVUVEgkEplM1XSsNGphbm7u4ODg5+f32muvYSaq5xF6JtEDxsbGVlZW3t7egYGB2spzoS1kMlleXt6NGzdqamokEsnjx49HW6IXDg1nkpGHR6WhoaGhoaF5YaFNRjQ0NDQ0NDRqQysQNDQ0NDQ0NGpDKxA0NDQ0NDQ0avP/ASgeNaH07AI1AAAAAElFTkSuQmCC">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=74071135-9a45-477a-9f44-4e4c904081d3">
|
|
<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 [51]:</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="n">predictions_d3_test</span> <span class="o">=</span> <span class="n">model_d3</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_42_test</span><span class="p">)</span>
|
|
<span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_42_test</span><span class="p">,</span> <span class="n">predictions_d3_test</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[51]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>1.0</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d7c00600-f4d5-43f3-9733-375298807189">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>We have seen that depending on the datasplit between training and test data the tree looks different, the rules for classifiation are different and the performance varies between the different solutions.</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d4cd1547">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>How can we then express if a decision tree of a certain design is a good classifier for the dataset?</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=e46974dd-cb52-49db-923c-77034ffc6919">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>Answer: We use statistics.</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=efb9cbd1">
|
|
<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 [52]:</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="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">cross_val_score</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=52c36330">
|
|
<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 [53]:</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="n">model_CV</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">()</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=5c546730">
|
|
<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 [54]:</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="n">scores_model_CV</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_CV</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=9fcbfb9e">
|
|
<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 [55]:</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="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.86666667
|
|
0.93333333 1. 1. 1. ]
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=f9e3d348">
|
|
<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 [56]:</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="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>0.96
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=67db7ab7-8cb5-4207-8953-a882810534f9">
|
|
<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 [57]:</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="n">model_CV_d2</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">max_depth</span> <span class="o">=</span> <span class="mi">2</span><span class="p">)</span>
|
|
<span class="n">scores_model_CV_d2</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_CV_d2</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV_d2</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="s1">'mean:'</span><span class="p">,</span> <span class="n">scores_model_CV_d2</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.86666667
|
|
0.86666667 1. 1. 1. ]
|
|
mean: 0.9533333333333334
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=de856b14-3f94-42f8-bd4e-d4f1d278718c">
|
|
<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 [58]:</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="n">model_CV_d3</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">max_depth</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
|
|
<span class="n">scores_model_CV_d3</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_CV_d3</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV_d3</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="s1">'mean:'</span><span class="p">,</span> <span class="n">scores_model_CV_d3</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.93333333
|
|
0.93333333 0.93333333 1. 1. ]
|
|
mean: 0.96
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6f1e009b-73c5-4494-a238-a6387c74d35b">
|
|
<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 [59]:</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="n">model_CV_d4</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">max_depth</span> <span class="o">=</span> <span class="mi">4</span><span class="p">)</span>
|
|
<span class="n">scores_model_CV_d4</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_CV_d4</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV_d4</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="s1">'mean:'</span><span class="p">,</span> <span class="n">scores_model_CV_d4</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.86666667
|
|
0.93333333 0.93333333 1. 1. ]
|
|
mean: 0.9533333333333334
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=5daab014-1d45-43f2-9490-07d45ff0f709">
|
|
<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" id="cell-id=982b20a7-3559-4d7a-8c52-9e4772832a19">
|
|
<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 [60]:</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="n">model_ss_15</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">min_samples_split</span> <span class="o">=</span> <span class="mi">15</span><span class="p">)</span>
|
|
<span class="n">scores_model_ss_15</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_ss_15</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_ss_15</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="s1">'mean:'</span><span class="p">,</span> <span class="n">scores_model_ss_15</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.93333333
|
|
0.93333333 0.93333333 1. 1. ]
|
|
mean: 0.96
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=372dcc29-be45-48b4-ab44-ab5be806fac6">
|
|
<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" id="cell-id=392352dd-bd4a-49ef-9d68-cadb734c3423">
|
|
<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 [61]:</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="n">model_ss_30</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">min_samples_split</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
|
|
<span class="n">scores_model_ss_30</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_ss_30</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_ss_30</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="s1">'mean:'</span><span class="p">,</span> <span class="n">scores_model_ss_30</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.93333333
|
|
0.93333333 0.93333333 1. 1. ]
|
|
mean: 0.96
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=1d2b8929-2138-4b2f-9fc8-27eec5972154">
|
|
<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 [62]:</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="n">model_sl_5</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">min_samples_leaf</span> <span class="o">=</span> <span class="mi">5</span><span class="p">)</span>
|
|
<span class="n">scores_model_sl_5</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_sl_5</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_sl_5</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="s1">'mean:'</span><span class="p">,</span> <span class="n">scores_model_sl_5</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 1. 0.93333333 0.86666667
|
|
0.86666667 1. 1. 1. ]
|
|
mean: 0.9600000000000002
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=bd123b1b-fec2-4955-af74-1b0aec33226d">
|
|
<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 [63]:</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="n">model_sl_4</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">min_samples_leaf</span> <span class="o">=</span> <span class="mi">4</span><span class="p">)</span>
|
|
<span class="n">scores_model_sl_4</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_sl_4</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_sl_4</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="s1">'mean:'</span><span class="p">,</span> <span class="n">scores_model_sl_4</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.93333333
|
|
0.86666667 1. 1. 1. ]
|
|
mean: 0.96
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=111fbbca-c4a4-445d-9633-7e53b69fd9e7">
|
|
<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 [64]:</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="n">model_sl_3</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">min_samples_leaf</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
|
|
<span class="n">scores_model_sl_3</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_sl_3</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_sl_3</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="s1">'mean:'</span><span class="p">,</span> <span class="n">scores_model_sl_3</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.93333333
|
|
0.93333333 1. 1. 1. ]
|
|
mean: 0.9666666666666666
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=947e6428-a3d7-4e6d-845e-7ab1dfd1cd3a">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<h4 id="A-short-note-on-cross-validation:">A short note on cross validation:<a class="anchor-link" href="file:///C:/Users/stei/Downloads/Decision%20Tree%20Iris.html#A-short-note-on-cross-validation:">¶</a></h4>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=72a524e8-82eb-4ab0-bbb1-f13a693e55c2">
|
|
<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 [133]:</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="n">scores_model_CV</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_CV</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.86666667
|
|
0.93333333 1. 1. 1. ]
|
|
0.96
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=605ce817-352d-4286-ad94-d00993a4e928">
|
|
<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 [137]:</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="n">scores_model_CV</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_CV</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">cv</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[0.96666667 0.96666667 0.9 0.96666667 1. ]
|
|
0.9600000000000002
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=c768501d-001d-4fb2-8520-60acd1a4f352">
|
|
<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 [131]:</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="n">scores_model_CV</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_CV</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">cv</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[0.96 0.96]
|
|
0.96
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=04c4d051-31ab-47ef-82c0-539708e6a641">
|
|
<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 [132]:</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="n">scores_model_CV</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_CV</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">cv</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 1. 1. 1. 1. 1.
|
|
0.66666667 1. 1. 1. 1. 1.
|
|
1. 1. 1. 1. 1. 1.
|
|
1. 0.66666667 0.66666667 1. 1. 1.
|
|
1. 1. 1. 0.66666667 1. 0.66666667
|
|
1. 1. 1. 0.66666667 1. 1.
|
|
1. 1. 1. 1. 1. 1.
|
|
1. 1. 1. 1. 1. 1.
|
|
1. 1. ]
|
|
0.96
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=5632939c-2adb-445f-9423-9461831852db">
|
|
<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" id="cell-id=e1ce6bce-db51-4b17-b0f9-5704d5884961">
|
|
<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 [65]:</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="n">model_sl_3</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">min_samples_leaf</span> <span class="o">=</span> <span class="mi">4</span><span class="p">)</span>
|
|
<span class="n">model_sl_3</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_42_train</span><span class="p">,</span><span class="n">y_42_train</span><span class="p">)</span>
|
|
<span class="n">dot_data_sl_3</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">export_graphviz</span><span class="p">(</span><span class="n">model_sl_3</span><span class="p">,</span> <span class="n">out_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">feature_names</span><span class="o">=</span><span class="p">[</span><span class="s1">'sepal-length'</span><span class="p">,</span><span class="s1">'sepal-width'</span><span class="p">,</span><span class="s1">'petal-length'</span><span class="p">,</span><span class="s1">'petal-width'</span><span class="p">],</span>
|
|
<span class="n">label</span><span class="o">=</span><span class="s1">'all'</span><span class="p">,</span> <span class="n">rounded</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">filled</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
|
<span class="n">graph_sl_3</span> <span class="o">=</span> <span class="n">pydotplus</span><span class="o">.</span><span class="n">graph_from_dot_data</span><span class="p">(</span><span class="n">dot_data_sl_3</span><span class="p">)</span>
|
|
<span class="n">Image</span><span class="p">(</span><span class="n">graph_sl_3</span><span class="o">.</span><span class="n">create_png</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[65]:</div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output jp-OutputArea-executeResult" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=22ba234a-80a2-430b-8e45-e32e7f7b8efd">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<p>The above tree is only for a specific dataset, so we do not know how the general performace of a tree with parameter settings would perform.
|
|
Therfore we can use the same parameter settings and test in in cross validation.</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=18f22bd9-a722-4ec3-b0b8-edaed3e62ffc">
|
|
<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 [66]:</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="n">model_ss_44</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">min_samples_split</span> <span class="o">=</span> <span class="mi">44</span><span class="p">)</span>
|
|
<span class="n">model_ss_44</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_42_train</span><span class="p">,</span><span class="n">y_42_train</span><span class="p">)</span>
|
|
<span class="n">dot_data_ss_44</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">export_graphviz</span><span class="p">(</span><span class="n">model_ss_44</span><span class="p">,</span> <span class="n">out_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">feature_names</span><span class="o">=</span><span class="p">[</span><span class="s1">'sepal-length'</span><span class="p">,</span><span class="s1">'sepal-width'</span><span class="p">,</span><span class="s1">'petal-length'</span><span class="p">,</span><span class="s1">'petal-width'</span><span class="p">],</span>
|
|
<span class="n">label</span><span class="o">=</span><span class="s1">'all'</span><span class="p">,</span> <span class="n">rounded</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">filled</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
|
<span class="n">graph_ss_44</span> <span class="o">=</span> <span class="n">pydotplus</span><span class="o">.</span><span class="n">graph_from_dot_data</span><span class="p">(</span><span class="n">dot_data_ss_44</span><span class="p">)</span>
|
|
<span class="n">Image</span><span class="p">(</span><span class="n">graph_ss_44</span><span class="o">.</span><span class="n">create_png</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[66]:</div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output jp-OutputArea-executeResult" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=3be842af-8feb-4794-a494-51e65f61f08c">
|
|
<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 [67]:</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="n">model_ss_44</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">min_samples_split</span> <span class="o">=</span> <span class="mi">44</span><span class="p">)</span>
|
|
<span class="n">scores_model_ss_44</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_ss_44</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_ss_44</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="s1">'mean:'</span><span class="p">,</span> <span class="n">scores_model_ss_44</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.93333333
|
|
0.93333333 1. 1. 1. ]
|
|
mean: 0.9666666666666666
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=d6315e08-0770-44a8-bbf2-c9d1f765c5bf">
|
|
<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=c53eeb7e-4d5c-42be-8d0d-0b26d5493f01">
|
|
<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=e8f66464-48cd-42f1-9577-915bac6b8721">
|
|
<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=46db58af-88cf-4db7-923d-d69af7cfa230">
|
|
<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-MarkdownCell jp-Notebook-cell" id="cell-id=0cfdaf34-5459-45e4-bda9-4b4811b8d297">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<h1 id="Feature-scaling">Feature scaling<a class="anchor-link" href="file:///C:/Users/stei/Downloads/Decision%20Tree%20Iris.html#Feature-scaling">¶</a></h1>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=9e9830a1">
|
|
<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 [68]:</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="kn">from</span> <span class="nn">sklearn</span> <span class="kn">import</span> <span class="n">preprocessing</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=0c0d7929">
|
|
<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 [69]:</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="n">normalized_X</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">normalize</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=2188a5ae">
|
|
<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 [70]:</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="n">standardized_X</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">scale</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=9939ed3a">
|
|
<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 [71]:</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="n">X</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[71]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([[5.1, 3.5, 1.4, 0.2],
|
|
[4.9, 3. , 1.4, 0.2],
|
|
[4.7, 3.2, 1.3, 0.2],
|
|
[4.6, 3.1, 1.5, 0.2],
|
|
[5. , 3.6, 1.4, 0.2],
|
|
[5.4, 3.9, 1.7, 0.4],
|
|
[4.6, 3.4, 1.4, 0.3],
|
|
[5. , 3.4, 1.5, 0.2],
|
|
[4.4, 2.9, 1.4, 0.2],
|
|
[4.9, 3.1, 1.5, 0.1],
|
|
[5.4, 3.7, 1.5, 0.2],
|
|
[4.8, 3.4, 1.6, 0.2],
|
|
[4.8, 3. , 1.4, 0.1],
|
|
[4.3, 3. , 1.1, 0.1],
|
|
[5.8, 4. , 1.2, 0.2],
|
|
[5.7, 4.4, 1.5, 0.4],
|
|
[5.4, 3.9, 1.3, 0.4],
|
|
[5.1, 3.5, 1.4, 0.3],
|
|
[5.7, 3.8, 1.7, 0.3],
|
|
[5.1, 3.8, 1.5, 0.3],
|
|
[5.4, 3.4, 1.7, 0.2],
|
|
[5.1, 3.7, 1.5, 0.4],
|
|
[4.6, 3.6, 1. , 0.2],
|
|
[5.1, 3.3, 1.7, 0.5],
|
|
[4.8, 3.4, 1.9, 0.2],
|
|
[5. , 3. , 1.6, 0.2],
|
|
[5. , 3.4, 1.6, 0.4],
|
|
[5.2, 3.5, 1.5, 0.2],
|
|
[5.2, 3.4, 1.4, 0.2],
|
|
[4.7, 3.2, 1.6, 0.2],
|
|
[4.8, 3.1, 1.6, 0.2],
|
|
[5.4, 3.4, 1.5, 0.4],
|
|
[5.2, 4.1, 1.5, 0.1],
|
|
[5.5, 4.2, 1.4, 0.2],
|
|
[4.9, 3.1, 1.5, 0.2],
|
|
[5. , 3.2, 1.2, 0.2],
|
|
[5.5, 3.5, 1.3, 0.2],
|
|
[4.9, 3.6, 1.4, 0.1],
|
|
[4.4, 3. , 1.3, 0.2],
|
|
[5.1, 3.4, 1.5, 0.2],
|
|
[5. , 3.5, 1.3, 0.3],
|
|
[4.5, 2.3, 1.3, 0.3],
|
|
[4.4, 3.2, 1.3, 0.2],
|
|
[5. , 3.5, 1.6, 0.6],
|
|
[5.1, 3.8, 1.9, 0.4],
|
|
[4.8, 3. , 1.4, 0.3],
|
|
[5.1, 3.8, 1.6, 0.2],
|
|
[4.6, 3.2, 1.4, 0.2],
|
|
[5.3, 3.7, 1.5, 0.2],
|
|
[5. , 3.3, 1.4, 0.2],
|
|
[7. , 3.2, 4.7, 1.4],
|
|
[6.4, 3.2, 4.5, 1.5],
|
|
[6.9, 3.1, 4.9, 1.5],
|
|
[5.5, 2.3, 4. , 1.3],
|
|
[6.5, 2.8, 4.6, 1.5],
|
|
[5.7, 2.8, 4.5, 1.3],
|
|
[6.3, 3.3, 4.7, 1.6],
|
|
[4.9, 2.4, 3.3, 1. ],
|
|
[6.6, 2.9, 4.6, 1.3],
|
|
[5.2, 2.7, 3.9, 1.4],
|
|
[5. , 2. , 3.5, 1. ],
|
|
[5.9, 3. , 4.2, 1.5],
|
|
[6. , 2.2, 4. , 1. ],
|
|
[6.1, 2.9, 4.7, 1.4],
|
|
[5.6, 2.9, 3.6, 1.3],
|
|
[6.7, 3.1, 4.4, 1.4],
|
|
[5.6, 3. , 4.5, 1.5],
|
|
[5.8, 2.7, 4.1, 1. ],
|
|
[6.2, 2.2, 4.5, 1.5],
|
|
[5.6, 2.5, 3.9, 1.1],
|
|
[5.9, 3.2, 4.8, 1.8],
|
|
[6.1, 2.8, 4. , 1.3],
|
|
[6.3, 2.5, 4.9, 1.5],
|
|
[6.1, 2.8, 4.7, 1.2],
|
|
[6.4, 2.9, 4.3, 1.3],
|
|
[6.6, 3. , 4.4, 1.4],
|
|
[6.8, 2.8, 4.8, 1.4],
|
|
[6.7, 3. , 5. , 1.7],
|
|
[6. , 2.9, 4.5, 1.5],
|
|
[5.7, 2.6, 3.5, 1. ],
|
|
[5.5, 2.4, 3.8, 1.1],
|
|
[5.5, 2.4, 3.7, 1. ],
|
|
[5.8, 2.7, 3.9, 1.2],
|
|
[6. , 2.7, 5.1, 1.6],
|
|
[5.4, 3. , 4.5, 1.5],
|
|
[6. , 3.4, 4.5, 1.6],
|
|
[6.7, 3.1, 4.7, 1.5],
|
|
[6.3, 2.3, 4.4, 1.3],
|
|
[5.6, 3. , 4.1, 1.3],
|
|
[5.5, 2.5, 4. , 1.3],
|
|
[5.5, 2.6, 4.4, 1.2],
|
|
[6.1, 3. , 4.6, 1.4],
|
|
[5.8, 2.6, 4. , 1.2],
|
|
[5. , 2.3, 3.3, 1. ],
|
|
[5.6, 2.7, 4.2, 1.3],
|
|
[5.7, 3. , 4.2, 1.2],
|
|
[5.7, 2.9, 4.2, 1.3],
|
|
[6.2, 2.9, 4.3, 1.3],
|
|
[5.1, 2.5, 3. , 1.1],
|
|
[5.7, 2.8, 4.1, 1.3],
|
|
[6.3, 3.3, 6. , 2.5],
|
|
[5.8, 2.7, 5.1, 1.9],
|
|
[7.1, 3. , 5.9, 2.1],
|
|
[6.3, 2.9, 5.6, 1.8],
|
|
[6.5, 3. , 5.8, 2.2],
|
|
[7.6, 3. , 6.6, 2.1],
|
|
[4.9, 2.5, 4.5, 1.7],
|
|
[7.3, 2.9, 6.3, 1.8],
|
|
[6.7, 2.5, 5.8, 1.8],
|
|
[7.2, 3.6, 6.1, 2.5],
|
|
[6.5, 3.2, 5.1, 2. ],
|
|
[6.4, 2.7, 5.3, 1.9],
|
|
[6.8, 3. , 5.5, 2.1],
|
|
[5.7, 2.5, 5. , 2. ],
|
|
[5.8, 2.8, 5.1, 2.4],
|
|
[6.4, 3.2, 5.3, 2.3],
|
|
[6.5, 3. , 5.5, 1.8],
|
|
[7.7, 3.8, 6.7, 2.2],
|
|
[7.7, 2.6, 6.9, 2.3],
|
|
[6. , 2.2, 5. , 1.5],
|
|
[6.9, 3.2, 5.7, 2.3],
|
|
[5.6, 2.8, 4.9, 2. ],
|
|
[7.7, 2.8, 6.7, 2. ],
|
|
[6.3, 2.7, 4.9, 1.8],
|
|
[6.7, 3.3, 5.7, 2.1],
|
|
[7.2, 3.2, 6. , 1.8],
|
|
[6.2, 2.8, 4.8, 1.8],
|
|
[6.1, 3. , 4.9, 1.8],
|
|
[6.4, 2.8, 5.6, 2.1],
|
|
[7.2, 3. , 5.8, 1.6],
|
|
[7.4, 2.8, 6.1, 1.9],
|
|
[7.9, 3.8, 6.4, 2. ],
|
|
[6.4, 2.8, 5.6, 2.2],
|
|
[6.3, 2.8, 5.1, 1.5],
|
|
[6.1, 2.6, 5.6, 1.4],
|
|
[7.7, 3. , 6.1, 2.3],
|
|
[6.3, 3.4, 5.6, 2.4],
|
|
[6.4, 3.1, 5.5, 1.8],
|
|
[6. , 3. , 4.8, 1.8],
|
|
[6.9, 3.1, 5.4, 2.1],
|
|
[6.7, 3.1, 5.6, 2.4],
|
|
[6.9, 3.1, 5.1, 2.3],
|
|
[5.8, 2.7, 5.1, 1.9],
|
|
[6.8, 3.2, 5.9, 2.3],
|
|
[6.7, 3.3, 5.7, 2.5],
|
|
[6.7, 3. , 5.2, 2.3],
|
|
[6.3, 2.5, 5. , 1.9],
|
|
[6.5, 3. , 5.2, 2. ],
|
|
[6.2, 3.4, 5.4, 2.3],
|
|
[5.9, 3. , 5.1, 1.8]])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=919bf073">
|
|
<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 [72]:</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="n">normalized_X</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[72]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([[0.80377277, 0.55160877, 0.22064351, 0.0315205 ],
|
|
[0.82813287, 0.50702013, 0.23660939, 0.03380134],
|
|
[0.80533308, 0.54831188, 0.2227517 , 0.03426949],
|
|
[0.80003025, 0.53915082, 0.26087943, 0.03478392],
|
|
[0.790965 , 0.5694948 , 0.2214702 , 0.0316386 ],
|
|
[0.78417499, 0.5663486 , 0.2468699 , 0.05808704],
|
|
[0.78010936, 0.57660257, 0.23742459, 0.0508767 ],
|
|
[0.80218492, 0.54548574, 0.24065548, 0.0320874 ],
|
|
[0.80642366, 0.5315065 , 0.25658935, 0.03665562],
|
|
[0.81803119, 0.51752994, 0.25041771, 0.01669451],
|
|
[0.80373519, 0.55070744, 0.22325977, 0.02976797],
|
|
[0.786991 , 0.55745196, 0.26233033, 0.03279129],
|
|
[0.82307218, 0.51442011, 0.24006272, 0.01714734],
|
|
[0.8025126 , 0.55989251, 0.20529392, 0.01866308],
|
|
[0.81120865, 0.55945424, 0.16783627, 0.02797271],
|
|
[0.77381111, 0.59732787, 0.2036345 , 0.05430253],
|
|
[0.79428944, 0.57365349, 0.19121783, 0.05883625],
|
|
[0.80327412, 0.55126656, 0.22050662, 0.04725142],
|
|
[0.8068282 , 0.53788547, 0.24063297, 0.04246464],
|
|
[0.77964883, 0.58091482, 0.22930848, 0.0458617 ],
|
|
[0.8173379 , 0.51462016, 0.25731008, 0.03027177],
|
|
[0.78591858, 0.57017622, 0.23115252, 0.06164067],
|
|
[0.77577075, 0.60712493, 0.16864581, 0.03372916],
|
|
[0.80597792, 0.52151512, 0.26865931, 0.07901744],
|
|
[0.776114 , 0.54974742, 0.30721179, 0.03233808],
|
|
[0.82647451, 0.4958847 , 0.26447184, 0.03305898],
|
|
[0.79778206, 0.5424918 , 0.25529026, 0.06382256],
|
|
[0.80641965, 0.54278246, 0.23262105, 0.03101614],
|
|
[0.81609427, 0.5336001 , 0.21971769, 0.03138824],
|
|
[0.79524064, 0.54144043, 0.27072022, 0.03384003],
|
|
[0.80846584, 0.52213419, 0.26948861, 0.03368608],
|
|
[0.82225028, 0.51771314, 0.22840286, 0.06090743],
|
|
[0.76578311, 0.60379053, 0.22089897, 0.0147266 ],
|
|
[0.77867447, 0.59462414, 0.19820805, 0.02831544],
|
|
[0.81768942, 0.51731371, 0.25031309, 0.03337508],
|
|
[0.82512295, 0.52807869, 0.19802951, 0.03300492],
|
|
[0.82699754, 0.52627116, 0.19547215, 0.03007264],
|
|
[0.78523221, 0.5769053 , 0.22435206, 0.01602515],
|
|
[0.80212413, 0.54690282, 0.23699122, 0.03646019],
|
|
[0.80779568, 0.53853046, 0.23758697, 0.03167826],
|
|
[0.80033301, 0.56023311, 0.20808658, 0.04801998],
|
|
[0.86093857, 0.44003527, 0.24871559, 0.0573959 ],
|
|
[0.78609038, 0.57170209, 0.23225397, 0.03573138],
|
|
[0.78889479, 0.55222635, 0.25244633, 0.09466737],
|
|
[0.76693897, 0.57144472, 0.28572236, 0.06015208],
|
|
[0.82210585, 0.51381615, 0.23978087, 0.05138162],
|
|
[0.77729093, 0.57915795, 0.24385598, 0.030482 ],
|
|
[0.79594782, 0.55370283, 0.24224499, 0.03460643],
|
|
[0.79837025, 0.55735281, 0.22595384, 0.03012718],
|
|
[0.81228363, 0.5361072 , 0.22743942, 0.03249135],
|
|
[0.76701103, 0.35063361, 0.51499312, 0.15340221],
|
|
[0.74549757, 0.37274878, 0.52417798, 0.17472599],
|
|
[0.75519285, 0.33928954, 0.53629637, 0.16417236],
|
|
[0.75384916, 0.31524601, 0.54825394, 0.17818253],
|
|
[0.7581754 , 0.32659863, 0.5365549 , 0.17496355],
|
|
[0.72232962, 0.35482858, 0.57026022, 0.16474184],
|
|
[0.72634846, 0.38046824, 0.54187901, 0.18446945],
|
|
[0.75916547, 0.37183615, 0.51127471, 0.15493173],
|
|
[0.76301853, 0.33526572, 0.53180079, 0.15029153],
|
|
[0.72460233, 0.37623583, 0.54345175, 0.19508524],
|
|
[0.76923077, 0.30769231, 0.53846154, 0.15384615],
|
|
[0.73923462, 0.37588201, 0.52623481, 0.187941 ],
|
|
[0.78892752, 0.28927343, 0.52595168, 0.13148792],
|
|
[0.73081412, 0.34743622, 0.56308629, 0.16772783],
|
|
[0.75911707, 0.3931142 , 0.48800383, 0.17622361],
|
|
[0.76945444, 0.35601624, 0.50531337, 0.16078153],
|
|
[0.70631892, 0.37838513, 0.5675777 , 0.18919257],
|
|
[0.75676497, 0.35228714, 0.53495455, 0.13047672],
|
|
[0.76444238, 0.27125375, 0.55483721, 0.18494574],
|
|
[0.76185188, 0.34011245, 0.53057542, 0.14964948],
|
|
[0.6985796 , 0.37889063, 0.56833595, 0.21312598],
|
|
[0.77011854, 0.35349703, 0.50499576, 0.16412362],
|
|
[0.74143307, 0.29421947, 0.57667016, 0.17653168],
|
|
[0.73659895, 0.33811099, 0.56754345, 0.14490471],
|
|
[0.76741698, 0.34773582, 0.51560829, 0.15588157],
|
|
[0.76785726, 0.34902603, 0.51190484, 0.16287881],
|
|
[0.76467269, 0.31486523, 0.53976896, 0.15743261],
|
|
[0.74088576, 0.33173989, 0.55289982, 0.18798594],
|
|
[0.73350949, 0.35452959, 0.55013212, 0.18337737],
|
|
[0.78667474, 0.35883409, 0.48304589, 0.13801311],
|
|
[0.76521855, 0.33391355, 0.52869645, 0.15304371],
|
|
[0.77242925, 0.33706004, 0.51963422, 0.14044168],
|
|
[0.76434981, 0.35581802, 0.51395936, 0.15814134],
|
|
[0.70779525, 0.31850786, 0.60162596, 0.1887454 ],
|
|
[0.69333409, 0.38518561, 0.57777841, 0.1925928 ],
|
|
[0.71524936, 0.40530797, 0.53643702, 0.19073316],
|
|
[0.75457341, 0.34913098, 0.52932761, 0.16893434],
|
|
[0.77530021, 0.28304611, 0.54147951, 0.15998258],
|
|
[0.72992443, 0.39103094, 0.53440896, 0.16944674],
|
|
[0.74714194, 0.33960997, 0.54337595, 0.17659719],
|
|
[0.72337118, 0.34195729, 0.57869695, 0.15782644],
|
|
[0.73260391, 0.36029701, 0.55245541, 0.1681386 ],
|
|
[0.76262994, 0.34186859, 0.52595168, 0.1577855 ],
|
|
[0.76986879, 0.35413965, 0.5081134 , 0.15397376],
|
|
[0.73544284, 0.35458851, 0.55158213, 0.1707278 ],
|
|
[0.73239618, 0.38547167, 0.53966034, 0.15418867],
|
|
[0.73446047, 0.37367287, 0.5411814 , 0.16750853],
|
|
[0.75728103, 0.3542121 , 0.52521104, 0.15878473],
|
|
[0.78258054, 0.38361791, 0.4603415 , 0.16879188],
|
|
[0.7431482 , 0.36505526, 0.5345452 , 0.16948994],
|
|
[0.65387747, 0.34250725, 0.62274045, 0.25947519],
|
|
[0.69052512, 0.32145135, 0.60718588, 0.22620651],
|
|
[0.71491405, 0.30207636, 0.59408351, 0.21145345],
|
|
[0.69276796, 0.31889319, 0.61579374, 0.1979337 ],
|
|
[0.68619022, 0.31670318, 0.61229281, 0.232249 ],
|
|
[0.70953708, 0.28008043, 0.61617694, 0.1960563 ],
|
|
[0.67054118, 0.34211284, 0.61580312, 0.23263673],
|
|
[0.71366557, 0.28351098, 0.61590317, 0.17597233],
|
|
[0.71414125, 0.26647062, 0.61821183, 0.19185884],
|
|
[0.69198788, 0.34599394, 0.58626751, 0.24027357],
|
|
[0.71562645, 0.3523084 , 0.56149152, 0.22019275],
|
|
[0.71576546, 0.30196356, 0.59274328, 0.21249287],
|
|
[0.71718148, 0.31640359, 0.58007326, 0.22148252],
|
|
[0.6925518 , 0.30375079, 0.60750157, 0.24300063],
|
|
[0.67767924, 0.32715549, 0.59589036, 0.28041899],
|
|
[0.69589887, 0.34794944, 0.57629125, 0.25008866],
|
|
[0.70610474, 0.3258945 , 0.59747324, 0.1955367 ],
|
|
[0.69299099, 0.34199555, 0.60299216, 0.19799743],
|
|
[0.70600618, 0.2383917 , 0.63265489, 0.21088496],
|
|
[0.72712585, 0.26661281, 0.60593821, 0.18178146],
|
|
[0.70558934, 0.32722984, 0.58287815, 0.23519645],
|
|
[0.68307923, 0.34153961, 0.59769433, 0.24395687],
|
|
[0.71486543, 0.25995106, 0.62202576, 0.18567933],
|
|
[0.73122464, 0.31338199, 0.56873028, 0.20892133],
|
|
[0.69595601, 0.3427843 , 0.59208198, 0.21813547],
|
|
[0.71529453, 0.31790868, 0.59607878, 0.17882363],
|
|
[0.72785195, 0.32870733, 0.56349829, 0.21131186],
|
|
[0.71171214, 0.35002236, 0.57170319, 0.21001342],
|
|
[0.69594002, 0.30447376, 0.60894751, 0.22835532],
|
|
[0.73089855, 0.30454106, 0.58877939, 0.1624219 ],
|
|
[0.72766159, 0.27533141, 0.59982915, 0.18683203],
|
|
[0.71578999, 0.34430405, 0.5798805 , 0.18121266],
|
|
[0.69417747, 0.30370264, 0.60740528, 0.2386235 ],
|
|
[0.72366005, 0.32162669, 0.58582004, 0.17230001],
|
|
[0.69385414, 0.29574111, 0.63698085, 0.15924521],
|
|
[0.73154399, 0.28501714, 0.57953485, 0.21851314],
|
|
[0.67017484, 0.36168166, 0.59571097, 0.2553047 ],
|
|
[0.69804799, 0.338117 , 0.59988499, 0.196326 ],
|
|
[0.71066905, 0.35533453, 0.56853524, 0.21320072],
|
|
[0.72415258, 0.32534391, 0.56672811, 0.22039426],
|
|
[0.69997037, 0.32386689, 0.58504986, 0.25073566],
|
|
[0.73337886, 0.32948905, 0.54206264, 0.24445962],
|
|
[0.69052512, 0.32145135, 0.60718588, 0.22620651],
|
|
[0.69193502, 0.32561648, 0.60035539, 0.23403685],
|
|
[0.68914871, 0.33943145, 0.58629069, 0.25714504],
|
|
[0.72155725, 0.32308533, 0.56001458, 0.24769876],
|
|
[0.72965359, 0.28954508, 0.57909015, 0.22005426],
|
|
[0.71653899, 0.3307103 , 0.57323119, 0.22047353],
|
|
[0.67467072, 0.36998072, 0.58761643, 0.25028107],
|
|
[0.69025916, 0.35097923, 0.5966647 , 0.21058754]])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=4e488be4">
|
|
<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 [73]:</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="n">standardized_X</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[73]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre>array([[-9.00681170e-01, 1.01900435e+00, -1.34022653e+00,
|
|
-1.31544430e+00],
|
|
[-1.14301691e+00, -1.31979479e-01, -1.34022653e+00,
|
|
-1.31544430e+00],
|
|
[-1.38535265e+00, 3.28414053e-01, -1.39706395e+00,
|
|
-1.31544430e+00],
|
|
[-1.50652052e+00, 9.82172869e-02, -1.28338910e+00,
|
|
-1.31544430e+00],
|
|
[-1.02184904e+00, 1.24920112e+00, -1.34022653e+00,
|
|
-1.31544430e+00],
|
|
[-5.37177559e-01, 1.93979142e+00, -1.16971425e+00,
|
|
-1.05217993e+00],
|
|
[-1.50652052e+00, 7.88807586e-01, -1.34022653e+00,
|
|
-1.18381211e+00],
|
|
[-1.02184904e+00, 7.88807586e-01, -1.28338910e+00,
|
|
-1.31544430e+00],
|
|
[-1.74885626e+00, -3.62176246e-01, -1.34022653e+00,
|
|
-1.31544430e+00],
|
|
[-1.14301691e+00, 9.82172869e-02, -1.28338910e+00,
|
|
-1.44707648e+00],
|
|
[-5.37177559e-01, 1.47939788e+00, -1.28338910e+00,
|
|
-1.31544430e+00],
|
|
[-1.26418478e+00, 7.88807586e-01, -1.22655167e+00,
|
|
-1.31544430e+00],
|
|
[-1.26418478e+00, -1.31979479e-01, -1.34022653e+00,
|
|
-1.44707648e+00],
|
|
[-1.87002413e+00, -1.31979479e-01, -1.51073881e+00,
|
|
-1.44707648e+00],
|
|
[-5.25060772e-02, 2.16998818e+00, -1.45390138e+00,
|
|
-1.31544430e+00],
|
|
[-1.73673948e-01, 3.09077525e+00, -1.28338910e+00,
|
|
-1.05217993e+00],
|
|
[-5.37177559e-01, 1.93979142e+00, -1.39706395e+00,
|
|
-1.05217993e+00],
|
|
[-9.00681170e-01, 1.01900435e+00, -1.34022653e+00,
|
|
-1.18381211e+00],
|
|
[-1.73673948e-01, 1.70959465e+00, -1.16971425e+00,
|
|
-1.18381211e+00],
|
|
[-9.00681170e-01, 1.70959465e+00, -1.28338910e+00,
|
|
-1.18381211e+00],
|
|
[-5.37177559e-01, 7.88807586e-01, -1.16971425e+00,
|
|
-1.31544430e+00],
|
|
[-9.00681170e-01, 1.47939788e+00, -1.28338910e+00,
|
|
-1.05217993e+00],
|
|
[-1.50652052e+00, 1.24920112e+00, -1.56757623e+00,
|
|
-1.31544430e+00],
|
|
[-9.00681170e-01, 5.58610819e-01, -1.16971425e+00,
|
|
-9.20547742e-01],
|
|
[-1.26418478e+00, 7.88807586e-01, -1.05603939e+00,
|
|
-1.31544430e+00],
|
|
[-1.02184904e+00, -1.31979479e-01, -1.22655167e+00,
|
|
-1.31544430e+00],
|
|
[-1.02184904e+00, 7.88807586e-01, -1.22655167e+00,
|
|
-1.05217993e+00],
|
|
[-7.79513300e-01, 1.01900435e+00, -1.28338910e+00,
|
|
-1.31544430e+00],
|
|
[-7.79513300e-01, 7.88807586e-01, -1.34022653e+00,
|
|
-1.31544430e+00],
|
|
[-1.38535265e+00, 3.28414053e-01, -1.22655167e+00,
|
|
-1.31544430e+00],
|
|
[-1.26418478e+00, 9.82172869e-02, -1.22655167e+00,
|
|
-1.31544430e+00],
|
|
[-5.37177559e-01, 7.88807586e-01, -1.28338910e+00,
|
|
-1.05217993e+00],
|
|
[-7.79513300e-01, 2.40018495e+00, -1.28338910e+00,
|
|
-1.44707648e+00],
|
|
[-4.16009689e-01, 2.63038172e+00, -1.34022653e+00,
|
|
-1.31544430e+00],
|
|
[-1.14301691e+00, 9.82172869e-02, -1.28338910e+00,
|
|
-1.31544430e+00],
|
|
[-1.02184904e+00, 3.28414053e-01, -1.45390138e+00,
|
|
-1.31544430e+00],
|
|
[-4.16009689e-01, 1.01900435e+00, -1.39706395e+00,
|
|
-1.31544430e+00],
|
|
[-1.14301691e+00, 1.24920112e+00, -1.34022653e+00,
|
|
-1.44707648e+00],
|
|
[-1.74885626e+00, -1.31979479e-01, -1.39706395e+00,
|
|
-1.31544430e+00],
|
|
[-9.00681170e-01, 7.88807586e-01, -1.28338910e+00,
|
|
-1.31544430e+00],
|
|
[-1.02184904e+00, 1.01900435e+00, -1.39706395e+00,
|
|
-1.18381211e+00],
|
|
[-1.62768839e+00, -1.74335684e+00, -1.39706395e+00,
|
|
-1.18381211e+00],
|
|
[-1.74885626e+00, 3.28414053e-01, -1.39706395e+00,
|
|
-1.31544430e+00],
|
|
[-1.02184904e+00, 1.01900435e+00, -1.22655167e+00,
|
|
-7.88915558e-01],
|
|
[-9.00681170e-01, 1.70959465e+00, -1.05603939e+00,
|
|
-1.05217993e+00],
|
|
[-1.26418478e+00, -1.31979479e-01, -1.34022653e+00,
|
|
-1.18381211e+00],
|
|
[-9.00681170e-01, 1.70959465e+00, -1.22655167e+00,
|
|
-1.31544430e+00],
|
|
[-1.50652052e+00, 3.28414053e-01, -1.34022653e+00,
|
|
-1.31544430e+00],
|
|
[-6.58345429e-01, 1.47939788e+00, -1.28338910e+00,
|
|
-1.31544430e+00],
|
|
[-1.02184904e+00, 5.58610819e-01, -1.34022653e+00,
|
|
-1.31544430e+00],
|
|
[ 1.40150837e+00, 3.28414053e-01, 5.35408562e-01,
|
|
2.64141916e-01],
|
|
[ 6.74501145e-01, 3.28414053e-01, 4.21733708e-01,
|
|
3.95774101e-01],
|
|
[ 1.28034050e+00, 9.82172869e-02, 6.49083415e-01,
|
|
3.95774101e-01],
|
|
[-4.16009689e-01, -1.74335684e+00, 1.37546573e-01,
|
|
1.32509732e-01],
|
|
[ 7.95669016e-01, -5.92373012e-01, 4.78571135e-01,
|
|
3.95774101e-01],
|
|
[-1.73673948e-01, -5.92373012e-01, 4.21733708e-01,
|
|
1.32509732e-01],
|
|
[ 5.53333275e-01, 5.58610819e-01, 5.35408562e-01,
|
|
5.27406285e-01],
|
|
[-1.14301691e+00, -1.51316008e+00, -2.60315415e-01,
|
|
-2.62386821e-01],
|
|
[ 9.16836886e-01, -3.62176246e-01, 4.78571135e-01,
|
|
1.32509732e-01],
|
|
[-7.79513300e-01, -8.22569778e-01, 8.07091462e-02,
|
|
2.64141916e-01],
|
|
[-1.02184904e+00, -2.43394714e+00, -1.46640561e-01,
|
|
-2.62386821e-01],
|
|
[ 6.86617933e-02, -1.31979479e-01, 2.51221427e-01,
|
|
3.95774101e-01],
|
|
[ 1.89829664e-01, -1.97355361e+00, 1.37546573e-01,
|
|
-2.62386821e-01],
|
|
[ 3.10997534e-01, -3.62176246e-01, 5.35408562e-01,
|
|
2.64141916e-01],
|
|
[-2.94841818e-01, -3.62176246e-01, -8.98031345e-02,
|
|
1.32509732e-01],
|
|
[ 1.03800476e+00, 9.82172869e-02, 3.64896281e-01,
|
|
2.64141916e-01],
|
|
[-2.94841818e-01, -1.31979479e-01, 4.21733708e-01,
|
|
3.95774101e-01],
|
|
[-5.25060772e-02, -8.22569778e-01, 1.94384000e-01,
|
|
-2.62386821e-01],
|
|
[ 4.32165405e-01, -1.97355361e+00, 4.21733708e-01,
|
|
3.95774101e-01],
|
|
[-2.94841818e-01, -1.28296331e+00, 8.07091462e-02,
|
|
-1.30754636e-01],
|
|
[ 6.86617933e-02, 3.28414053e-01, 5.92245988e-01,
|
|
7.90670654e-01],
|
|
[ 3.10997534e-01, -5.92373012e-01, 1.37546573e-01,
|
|
1.32509732e-01],
|
|
[ 5.53333275e-01, -1.28296331e+00, 6.49083415e-01,
|
|
3.95774101e-01],
|
|
[ 3.10997534e-01, -5.92373012e-01, 5.35408562e-01,
|
|
8.77547895e-04],
|
|
[ 6.74501145e-01, -3.62176246e-01, 3.08058854e-01,
|
|
1.32509732e-01],
|
|
[ 9.16836886e-01, -1.31979479e-01, 3.64896281e-01,
|
|
2.64141916e-01],
|
|
[ 1.15917263e+00, -5.92373012e-01, 5.92245988e-01,
|
|
2.64141916e-01],
|
|
[ 1.03800476e+00, -1.31979479e-01, 7.05920842e-01,
|
|
6.59038469e-01],
|
|
[ 1.89829664e-01, -3.62176246e-01, 4.21733708e-01,
|
|
3.95774101e-01],
|
|
[-1.73673948e-01, -1.05276654e+00, -1.46640561e-01,
|
|
-2.62386821e-01],
|
|
[-4.16009689e-01, -1.51316008e+00, 2.38717193e-02,
|
|
-1.30754636e-01],
|
|
[-4.16009689e-01, -1.51316008e+00, -3.29657076e-02,
|
|
-2.62386821e-01],
|
|
[-5.25060772e-02, -8.22569778e-01, 8.07091462e-02,
|
|
8.77547895e-04],
|
|
[ 1.89829664e-01, -8.22569778e-01, 7.62758269e-01,
|
|
5.27406285e-01],
|
|
[-5.37177559e-01, -1.31979479e-01, 4.21733708e-01,
|
|
3.95774101e-01],
|
|
[ 1.89829664e-01, 7.88807586e-01, 4.21733708e-01,
|
|
5.27406285e-01],
|
|
[ 1.03800476e+00, 9.82172869e-02, 5.35408562e-01,
|
|
3.95774101e-01],
|
|
[ 5.53333275e-01, -1.74335684e+00, 3.64896281e-01,
|
|
1.32509732e-01],
|
|
[-2.94841818e-01, -1.31979479e-01, 1.94384000e-01,
|
|
1.32509732e-01],
|
|
[-4.16009689e-01, -1.28296331e+00, 1.37546573e-01,
|
|
1.32509732e-01],
|
|
[-4.16009689e-01, -1.05276654e+00, 3.64896281e-01,
|
|
8.77547895e-04],
|
|
[ 3.10997534e-01, -1.31979479e-01, 4.78571135e-01,
|
|
2.64141916e-01],
|
|
[-5.25060772e-02, -1.05276654e+00, 1.37546573e-01,
|
|
8.77547895e-04],
|
|
[-1.02184904e+00, -1.74335684e+00, -2.60315415e-01,
|
|
-2.62386821e-01],
|
|
[-2.94841818e-01, -8.22569778e-01, 2.51221427e-01,
|
|
1.32509732e-01],
|
|
[-1.73673948e-01, -1.31979479e-01, 2.51221427e-01,
|
|
8.77547895e-04],
|
|
[-1.73673948e-01, -3.62176246e-01, 2.51221427e-01,
|
|
1.32509732e-01],
|
|
[ 4.32165405e-01, -3.62176246e-01, 3.08058854e-01,
|
|
1.32509732e-01],
|
|
[-9.00681170e-01, -1.28296331e+00, -4.30827696e-01,
|
|
-1.30754636e-01],
|
|
[-1.73673948e-01, -5.92373012e-01, 1.94384000e-01,
|
|
1.32509732e-01],
|
|
[ 5.53333275e-01, 5.58610819e-01, 1.27429511e+00,
|
|
1.71209594e+00],
|
|
[-5.25060772e-02, -8.22569778e-01, 7.62758269e-01,
|
|
9.22302838e-01],
|
|
[ 1.52267624e+00, -1.31979479e-01, 1.21745768e+00,
|
|
1.18556721e+00],
|
|
[ 5.53333275e-01, -3.62176246e-01, 1.04694540e+00,
|
|
7.90670654e-01],
|
|
[ 7.95669016e-01, -1.31979479e-01, 1.16062026e+00,
|
|
1.31719939e+00],
|
|
[ 2.12851559e+00, -1.31979479e-01, 1.61531967e+00,
|
|
1.18556721e+00],
|
|
[-1.14301691e+00, -1.28296331e+00, 4.21733708e-01,
|
|
6.59038469e-01],
|
|
[ 1.76501198e+00, -3.62176246e-01, 1.44480739e+00,
|
|
7.90670654e-01],
|
|
[ 1.03800476e+00, -1.28296331e+00, 1.16062026e+00,
|
|
7.90670654e-01],
|
|
[ 1.64384411e+00, 1.24920112e+00, 1.33113254e+00,
|
|
1.71209594e+00],
|
|
[ 7.95669016e-01, 3.28414053e-01, 7.62758269e-01,
|
|
1.05393502e+00],
|
|
[ 6.74501145e-01, -8.22569778e-01, 8.76433123e-01,
|
|
9.22302838e-01],
|
|
[ 1.15917263e+00, -1.31979479e-01, 9.90107977e-01,
|
|
1.18556721e+00],
|
|
[-1.73673948e-01, -1.28296331e+00, 7.05920842e-01,
|
|
1.05393502e+00],
|
|
[-5.25060772e-02, -5.92373012e-01, 7.62758269e-01,
|
|
1.58046376e+00],
|
|
[ 6.74501145e-01, 3.28414053e-01, 8.76433123e-01,
|
|
1.44883158e+00],
|
|
[ 7.95669016e-01, -1.31979479e-01, 9.90107977e-01,
|
|
7.90670654e-01],
|
|
[ 2.24968346e+00, 1.70959465e+00, 1.67215710e+00,
|
|
1.31719939e+00],
|
|
[ 2.24968346e+00, -1.05276654e+00, 1.78583195e+00,
|
|
1.44883158e+00],
|
|
[ 1.89829664e-01, -1.97355361e+00, 7.05920842e-01,
|
|
3.95774101e-01],
|
|
[ 1.28034050e+00, 3.28414053e-01, 1.10378283e+00,
|
|
1.44883158e+00],
|
|
[-2.94841818e-01, -5.92373012e-01, 6.49083415e-01,
|
|
1.05393502e+00],
|
|
[ 2.24968346e+00, -5.92373012e-01, 1.67215710e+00,
|
|
1.05393502e+00],
|
|
[ 5.53333275e-01, -8.22569778e-01, 6.49083415e-01,
|
|
7.90670654e-01],
|
|
[ 1.03800476e+00, 5.58610819e-01, 1.10378283e+00,
|
|
1.18556721e+00],
|
|
[ 1.64384411e+00, 3.28414053e-01, 1.27429511e+00,
|
|
7.90670654e-01],
|
|
[ 4.32165405e-01, -5.92373012e-01, 5.92245988e-01,
|
|
7.90670654e-01],
|
|
[ 3.10997534e-01, -1.31979479e-01, 6.49083415e-01,
|
|
7.90670654e-01],
|
|
[ 6.74501145e-01, -5.92373012e-01, 1.04694540e+00,
|
|
1.18556721e+00],
|
|
[ 1.64384411e+00, -1.31979479e-01, 1.16062026e+00,
|
|
5.27406285e-01],
|
|
[ 1.88617985e+00, -5.92373012e-01, 1.33113254e+00,
|
|
9.22302838e-01],
|
|
[ 2.49201920e+00, 1.70959465e+00, 1.50164482e+00,
|
|
1.05393502e+00],
|
|
[ 6.74501145e-01, -5.92373012e-01, 1.04694540e+00,
|
|
1.31719939e+00],
|
|
[ 5.53333275e-01, -5.92373012e-01, 7.62758269e-01,
|
|
3.95774101e-01],
|
|
[ 3.10997534e-01, -1.05276654e+00, 1.04694540e+00,
|
|
2.64141916e-01],
|
|
[ 2.24968346e+00, -1.31979479e-01, 1.33113254e+00,
|
|
1.44883158e+00],
|
|
[ 5.53333275e-01, 7.88807586e-01, 1.04694540e+00,
|
|
1.58046376e+00],
|
|
[ 6.74501145e-01, 9.82172869e-02, 9.90107977e-01,
|
|
7.90670654e-01],
|
|
[ 1.89829664e-01, -1.31979479e-01, 5.92245988e-01,
|
|
7.90670654e-01],
|
|
[ 1.28034050e+00, 9.82172869e-02, 9.33270550e-01,
|
|
1.18556721e+00],
|
|
[ 1.03800476e+00, 9.82172869e-02, 1.04694540e+00,
|
|
1.58046376e+00],
|
|
[ 1.28034050e+00, 9.82172869e-02, 7.62758269e-01,
|
|
1.44883158e+00],
|
|
[-5.25060772e-02, -8.22569778e-01, 7.62758269e-01,
|
|
9.22302838e-01],
|
|
[ 1.15917263e+00, 3.28414053e-01, 1.21745768e+00,
|
|
1.44883158e+00],
|
|
[ 1.03800476e+00, 5.58610819e-01, 1.10378283e+00,
|
|
1.71209594e+00],
|
|
[ 1.03800476e+00, -1.31979479e-01, 8.19595696e-01,
|
|
1.44883158e+00],
|
|
[ 5.53333275e-01, -1.28296331e+00, 7.05920842e-01,
|
|
9.22302838e-01],
|
|
[ 7.95669016e-01, -1.31979479e-01, 8.19595696e-01,
|
|
1.05393502e+00],
|
|
[ 4.32165405e-01, 7.88807586e-01, 9.33270550e-01,
|
|
1.44883158e+00],
|
|
[ 6.86617933e-02, -1.31979479e-01, 7.62758269e-01,
|
|
7.90670654e-01]])</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=906ff28f">
|
|
<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 [90]:</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="n">df_X</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'sepal_length'</span><span class="p">,</span>
|
|
<span class="s1">'sepal_width'</span><span class="p">,</span>
|
|
<span class="s1">'petal_length'</span><span class="p">,</span>
|
|
<span class="s1">'petal_width'</span><span class="p">])</span>
|
|
<span class="n">df_X</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[90]:</div>
|
|
<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
|
|
<div>
|
|
<style scoped="">
|
|
.dataframe tbody tr th:only-of-type {
|
|
vertical-align: middle;
|
|
}
|
|
|
|
.dataframe tbody tr th {
|
|
vertical-align: top;
|
|
}
|
|
|
|
.dataframe thead th {
|
|
text-align: right;
|
|
}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th></th>
|
|
<th>sepal_length</th>
|
|
<th>sepal_width</th>
|
|
<th>petal_length</th>
|
|
<th>petal_width</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>5.1</td>
|
|
<td>3.5</td>
|
|
<td>1.4</td>
|
|
<td>0.2</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>4.9</td>
|
|
<td>3.0</td>
|
|
<td>1.4</td>
|
|
<td>0.2</td>
|
|
</tr>
|
|
<tr>
|
|
<th>2</th>
|
|
<td>4.7</td>
|
|
<td>3.2</td>
|
|
<td>1.3</td>
|
|
<td>0.2</td>
|
|
</tr>
|
|
<tr>
|
|
<th>3</th>
|
|
<td>4.6</td>
|
|
<td>3.1</td>
|
|
<td>1.5</td>
|
|
<td>0.2</td>
|
|
</tr>
|
|
<tr>
|
|
<th>4</th>
|
|
<td>5.0</td>
|
|
<td>3.6</td>
|
|
<td>1.4</td>
|
|
<td>0.2</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=33ec117e-531a-4c66-b668-2a56e3080700">
|
|
<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 [92]:</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="n">visual_X</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">plotting</span><span class="o">.</span><span class="n">scatter_matrix</span><span class="p">(</span><span class="n">df_X</span><span class="p">,</span> <span class="n">figsize</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span><span class="mi">10</span><span class="p">],</span> <span class="n">c</span> <span class="o">=</span> <span class="n">colormap</span><span class="p">[</span><span class="n">y</span><span class="p">],</span> <span class="n">s</span> <span class="o">=</span> <span class="mi">150</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=615f2fce">
|
|
<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 [93]:</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="n">df_X_normalized</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">normalized_X</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'sepal_length'</span><span class="p">,</span>
|
|
<span class="s1">'sepal_width'</span><span class="p">,</span>
|
|
<span class="s1">'petal_length'</span><span class="p">,</span>
|
|
<span class="s1">'petal_width'</span><span class="p">])</span>
|
|
<span class="n">df_X_normalized</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[93]:</div>
|
|
<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
|
|
<div>
|
|
<style scoped="">
|
|
.dataframe tbody tr th:only-of-type {
|
|
vertical-align: middle;
|
|
}
|
|
|
|
.dataframe tbody tr th {
|
|
vertical-align: top;
|
|
}
|
|
|
|
.dataframe thead th {
|
|
text-align: right;
|
|
}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th></th>
|
|
<th>sepal_length</th>
|
|
<th>sepal_width</th>
|
|
<th>petal_length</th>
|
|
<th>petal_width</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>0.803773</td>
|
|
<td>0.551609</td>
|
|
<td>0.220644</td>
|
|
<td>0.031521</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>0.828133</td>
|
|
<td>0.507020</td>
|
|
<td>0.236609</td>
|
|
<td>0.033801</td>
|
|
</tr>
|
|
<tr>
|
|
<th>2</th>
|
|
<td>0.805333</td>
|
|
<td>0.548312</td>
|
|
<td>0.222752</td>
|
|
<td>0.034269</td>
|
|
</tr>
|
|
<tr>
|
|
<th>3</th>
|
|
<td>0.800030</td>
|
|
<td>0.539151</td>
|
|
<td>0.260879</td>
|
|
<td>0.034784</td>
|
|
</tr>
|
|
<tr>
|
|
<th>4</th>
|
|
<td>0.790965</td>
|
|
<td>0.569495</td>
|
|
<td>0.221470</td>
|
|
<td>0.031639</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6806f5dc-d6fe-49af-a3e8-1e17b4404541">
|
|
<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 [95]:</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="n">df_X_standardized</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">standardized_X</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'sepal_length'</span><span class="p">,</span>
|
|
<span class="s1">'sepal_width'</span><span class="p">,</span>
|
|
<span class="s1">'petal_length'</span><span class="p">,</span>
|
|
<span class="s1">'petal_width'</span><span class="p">])</span>
|
|
<span class="n">df_X_standardized</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[95]:</div>
|
|
<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
|
|
<div>
|
|
<style scoped="">
|
|
.dataframe tbody tr th:only-of-type {
|
|
vertical-align: middle;
|
|
}
|
|
|
|
.dataframe tbody tr th {
|
|
vertical-align: top;
|
|
}
|
|
|
|
.dataframe thead th {
|
|
text-align: right;
|
|
}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th></th>
|
|
<th>sepal_length</th>
|
|
<th>sepal_width</th>
|
|
<th>petal_length</th>
|
|
<th>petal_width</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>-0.900681</td>
|
|
<td>1.019004</td>
|
|
<td>-1.340227</td>
|
|
<td>-1.315444</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>-1.143017</td>
|
|
<td>-0.131979</td>
|
|
<td>-1.340227</td>
|
|
<td>-1.315444</td>
|
|
</tr>
|
|
<tr>
|
|
<th>2</th>
|
|
<td>-1.385353</td>
|
|
<td>0.328414</td>
|
|
<td>-1.397064</td>
|
|
<td>-1.315444</td>
|
|
</tr>
|
|
<tr>
|
|
<th>3</th>
|
|
<td>-1.506521</td>
|
|
<td>0.098217</td>
|
|
<td>-1.283389</td>
|
|
<td>-1.315444</td>
|
|
</tr>
|
|
<tr>
|
|
<th>4</th>
|
|
<td>-1.021849</td>
|
|
<td>1.249201</td>
|
|
<td>-1.340227</td>
|
|
<td>-1.315444</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=ae9e43ac">
|
|
<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 [96]:</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="n">visual_X_standardized</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">plotting</span><span class="o">.</span><span class="n">scatter_matrix</span><span class="p">(</span><span class="n">df_X_standardized</span><span class="p">,</span> <span class="n">figsize</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span><span class="mi">10</span><span class="p">],</span> <span class="n">c</span> <span class="o">=</span> <span class="n">colormap</span><span class="p">[</span><span class="n">y</span><span class="p">],</span> <span class="n">s</span> <span class="o">=</span> <span class="mi">150</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=b690c314">
|
|
<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 [103]:</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="n">model_normalized_CV</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">()</span>
|
|
<span class="n">scores_model_normalized_CV</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_normalized_CV</span><span class="p">,</span> <span class="n">normalized_X</span><span class="p">,</span><span class="n">y</span><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_normalized_CV</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_normalized_CV</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 0.93333333 1. 0.93333333 1.
|
|
0.86666667 1. 0.86666667 1. ]
|
|
0.9533333333333334
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=f9490289">
|
|
<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 [104]:</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="n">model_standardized_CV</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">()</span>
|
|
<span class="n">scores_model_standardized_CV</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_standardized_CV</span><span class="p">,</span> <span class="n">standardized_X</span><span class="p">,</span><span class="n">y</span><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_standardized_CV</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_standardized_CV</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.86666667
|
|
0.93333333 1. 1. 1. ]
|
|
0.96
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=d2a72767">
|
|
<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 [105]:</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="n">model_CV</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">()</span>
|
|
<span class="n">scores_model_CV</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_CV</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">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_CV</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.86666667
|
|
0.93333333 1. 1. 1. ]
|
|
0.96
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=9ff8450d">
|
|
<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 [108]:</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="n">model_standardized_CV_ss_44</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">min_samples_split</span> <span class="o">=</span> <span class="mi">44</span><span class="p">)</span>
|
|
<span class="n">scores_model_standardized_CV_ss_44</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span><span class="n">model_standardized_CV_ss_44</span><span class="p">,</span> <span class="n">standardized_X</span><span class="p">,</span><span class="n">y</span><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="s2">"accuracy"</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_standardized_CV_ss_44</span><span class="p">)</span>
|
|
<span class="nb">print</span> <span class="p">(</span><span class="n">scores_model_standardized_CV_ss_44</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
|
|
<pre>[1. 0.93333333 1. 0.93333333 0.93333333 0.93333333
|
|
0.93333333 1. 1. 1. ]
|
|
0.9666666666666666
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=799c6f1c-9ab2-40fc-8924-652b49b0e7dc">
|
|
<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=be2c8f5d-c4dc-4077-94f6-62262b16dc94">
|
|
<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-MarkdownCell jp-Notebook-cell" id="cell-id=0dc18cad-bac6-4d97-b105-525afbb735fe">
|
|
<div class="jp-Cell-inputWrapper" tabindex="0">
|
|
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
|
</div>
|
|
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
|
|
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
|
|
<h2 id="You-can-also-use-the-seaborn-library-to-plot.">You can also use the seaborn library to plot.<a class="anchor-link" href="file:///C:/Users/stei/Downloads/Decision%20Tree%20Iris.html#You-can-also-use-the-seaborn-library-to-plot.">¶</a></h2>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=79f04859-9a4e-4b6d-8049-9dd6df7ca73b">
|
|
<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 [138]:</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="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=5bb875f8-3631-42ba-b14a-79fb8501e78f">
|
|
<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 [165]:</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="n">pairplot</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlim</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">10</span><span class="p">),</span> <span class="n">ylim</span> <span class="o">=</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">10</span><span class="p">))</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[165]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre><seaborn.axisgrid.PairGrid at 0x1e4cada04d0></pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=b721d60d-1295-43bc-9a5f-3646e626fdc0">
|
|
<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 [166]:</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="n">iris_sns</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">load_dataset</span><span class="p">(</span><span class="s2">"iris"</span><span class="p">)</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=08b57722-556b-46cf-b4c9-a149c43f07e6">
|
|
<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 [172]:</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="n">sns</span><span class="o">.</span><span class="n">pairplot</span><span class="p">(</span><span class="n">iris_sns</span><span class="p">,</span> <span class="n">hue</span> <span class="o">=</span> <span class="s1">'species'</span><span class="p">)</span>
|
|
<span class="c1"># you get a warning about something that will be removed from the function in the future. We can ignore that for now.</span>
|
|
<span class="c1"># after the warning the pairplot will appear.</span>
|
|
</pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="jp-Cell-outputWrapper">
|
|
<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
|
|
</div>
|
|
<div class="jp-OutputArea jp-Cell-outputArea">
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr" tabindex="0">
|
|
<pre>C:\Users\stei\AppData\Local\anaconda3\Lib\site-packages\seaborn\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
|
|
with pd.option_context('mode.use_inf_as_na', True):
|
|
C:\Users\stei\AppData\Local\anaconda3\Lib\site-packages\seaborn\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
|
|
with pd.option_context('mode.use_inf_as_na', True):
|
|
C:\Users\stei\AppData\Local\anaconda3\Lib\site-packages\seaborn\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
|
|
with pd.option_context('mode.use_inf_as_na', True):
|
|
C:\Users\stei\AppData\Local\anaconda3\Lib\site-packages\seaborn\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
|
|
with pd.option_context('mode.use_inf_as_na', True):
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
<div class="jp-OutputArea-child jp-OutputArea-executeResult">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[172]:</div>
|
|
<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
|
|
<pre><seaborn.axisgrid.PairGrid at 0x1e4d5ff64d0></pre>
|
|
</div>
|
|
</div>
|
|
<div class="jp-OutputArea-child">
|
|
<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
|
|
<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
|
|
<img alt="No description has been provided for this image" class="" src="data:image/png;base64,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">
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=d3d8b2e8-aa3c-4494-9345-d6df409f6590">
|
|
<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>
|
|
</main>
|
|
|
|
|
|
</body></html> |