{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Going further: The \"Holoviz\" visualization and dashboarding toolkit\n", "\n", "[GeoHackWeek 2019](https://geohackweek.github.io) -- [vector tutorial](https://geohackweek.github.io/vector/) \n", "[Friedrich Knuth, University of Washington](https://github.com/friedrichknuth/). 2019-9-9" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " var force = true;\n", "\n", " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", " root._bokeh_onload_callbacks = [];\n", " root._bokeh_is_loading = undefined;\n", " }\n", "\n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", " if (callback != null)\n", " callback();\n", " });\n", " } finally {\n", " delete root._bokeh_onload_callbacks\n", " }\n", " console.debug(\"Bokeh: all callbacks have finished\");\n", " }\n", "\n", " function load_libs(css_urls, js_urls, callback) {\n", " if (css_urls == null) css_urls = [];\n", " if (js_urls == null) js_urls = [];\n", "\n", " root._bokeh_onload_callbacks.push(callback);\n", " if (root._bokeh_is_loading > 0) {\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", " }\n", " if (js_urls == null || js_urls.length === 0) {\n", " run_callbacks();\n", " return null;\n", " }\n", " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", " run_callbacks()\n", " }\n", " }\n", "\n", " function on_error() {\n", " console.error(\"failed to load \" + url);\n", " }\n", "\n", " for (var i = 0; i < css_urls.length; i++) {\n", " var url = css_urls[i];\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.rel = \"stylesheet\";\n", " element.type = \"text/css\";\n", " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", " }\n", "\n", " if (window.requirejs) {\n", " require([], function() {\n", " run_callbacks();\n", " })\n", " } else {\n", " var skip = [];\n", " for (var i = 0; i < js_urls.length; i++) {\n", " var url = js_urls[i];\n", " if (skip.indexOf(url) >= 0) { on_load(); continue; }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", " element.src = url;\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " }\n", " };\n", "\n", " function inject_raw_css(css) {\n", " const element = document.createElement(\"style\");\n", " element.appendChild(document.createTextNode(css));\n", " document.body.appendChild(element);\n", " }\n", "\n", " var js_urls = [];\n", " var css_urls = [];\n", "\n", " var inline_js = [\n", " function(Bokeh) {\n", " inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n margin-right: auto;\\n border: none;\\n border-collapse: collapse;\\n border-spacing: 0;\\n color: black;\\n font-size: 12px;\\n table-layout: fixed;\\n width: 100%;\\n}\\n\\n.panel-df tr, th, td {\\n text-align: right;\\n vertical-align: middle;\\n padding: 0.5em 0.5em !important;\\n line-height: normal;\\n white-space: normal;\\n max-width: none;\\n border: none;\\n}\\n\\n.panel-df tbody {\\n display: table-row-group;\\n vertical-align: middle;\\n border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n border-bottom: 1px solid black;\\n vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n background: lightblue !important;\\n cursor: pointer;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n color: black;\\n text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n color: green;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: blue;\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n color: #00008B;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n color: white;\\n text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n color: #31F031;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: #027BFF;\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n color: #23A0DB;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n from {background-position: 0%}\\n to {background-position: 100%}\\n}\");\n", " },\n", " function(Bokeh) {\n", " /* BEGIN bokeh.min.js */\n", " /*!\n", " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", " * All rights reserved.\n", " * \n", " * Redistribution and use in source and binary forms, with or without modification,\n", " * are permitted provided that the following conditions are met:\n", " * \n", " * Redistributions of source code must retain the above copyright notice,\n", " * this list of conditions and the following disclaimer.\n", " * \n", " * Redistributions in binary form must reproduce the above copyright notice,\n", " * this list of conditions and the following disclaimer in the documentation\n", " * and/or other materials provided with the distribution.\n", " * \n", " * Neither the name of Anaconda nor the names of any contributors\n", " * may be used to endorse or promote products derived from this software\n", " * without specific prior written permission.\n", " * \n", " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", " * THE POSSIBILITY OF SUCH DAMAGE.\n", " */\n", " (function(root, factory) {\n", " root[\"Bokeh\"] = factory();\n", " })(this, function() {\n", " var define;\n", " var parent_require = typeof require === \"function\" && require\n", " return (function(modules, entry, aliases, externals) {\n", " if (aliases === undefined) aliases = {};\n", " if (externals === undefined) externals = {};\n", "\n", " var cache = {};\n", "\n", " var normalize = function(name) {\n", " if (typeof name === \"number\")\n", " return name;\n", "\n", " if (name === \"bokehjs\")\n", " return entry;\n", "\n", " var prefix = \"@bokehjs/\"\n", " if (name.slice(0, prefix.length) === prefix)\n", " name = name.slice(prefix.length)\n", "\n", " var alias = aliases[name]\n", " if (alias != null)\n", " return alias;\n", "\n", " var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n", " var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n", " if (index != null)\n", " return index;\n", "\n", " return name;\n", " }\n", "\n", " var require = function(name) {\n", " var mod = cache[name];\n", " if (!mod) {\n", " var id = normalize(name);\n", "\n", " mod = cache[id];\n", " if (!mod) {\n", " if (!modules[id]) {\n", " if (externals[id] === false || (externals[id] == true && parent_require)) {\n", " try {\n", " mod = {exports: externals[id] ? parent_require(id) : {}};\n", " cache[id] = cache[name] = mod;\n", " return mod.exports;\n", " } catch (e) {}\n", " }\n", "\n", " var err = new Error(\"Cannot find module '\" + name + \"'\");\n", " err.code = 'MODULE_NOT_FOUND';\n", " throw err;\n", " }\n", "\n", " mod = {exports: {}};\n", " cache[id] = cache[name] = mod;\n", " modules[id].call(mod.exports, require, mod, mod.exports);\n", " } else\n", " cache[name] = mod;\n", " }\n", "\n", " return mod.exports;\n", " }\n", "\n", " var main = require(entry);\n", " main.require = require;\n", "\n", " if (typeof Proxy !== \"undefined\") {\n", " // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n", " main.loader = new Proxy({}, {\n", " get: function(_obj, module) {\n", " return require(module);\n", " }\n", " });\n", " }\n", "\n", " main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n", " if (plugin_aliases === undefined) plugin_aliases = {};\n", " if (plugin_externals === undefined) plugin_externals = {};\n", "\n", " for (var name in plugin_modules) {\n", " modules[name] = plugin_modules[name];\n", " }\n", "\n", " for (var name in plugin_aliases) {\n", " aliases[name] = plugin_aliases[name];\n", " }\n", "\n", " for (var name in plugin_externals) {\n", " externals[name] = plugin_externals[name];\n", " }\n", "\n", " var plugin = require(plugin_entry);\n", "\n", " for (var name in plugin) {\n", " main[name] = plugin[name];\n", " }\n", "\n", " return plugin;\n", " }\n", "\n", " return main;\n", " })\n", " ([\n", " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n", " function _(t,e,n){\n", " /*! *****************************************************************************\n", " Copyright (c) Microsoft Corporation. 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s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e){h.includes(this._callbacks,e)||this._callbacks.push(e)}remove_on_change(e){const t=this._callbacks.indexOf(e);t>=0&&this._callbacks.splice(t,1)}_trigger_on_change(e){for(const t of this._callbacks)t(e)}_notify_change(e,t,s,o,n){\"name\"===t&&(this._all_models_by_name.remove_value(s,e),null!=o&&this._all_models_by_name.add_value(o,e));const i=null!=n?n.setter_id:void 0,r=null!=n?n.hint:void 0;this._trigger_on_change(new w.ModelChangedEvent(this,e,t,s,o,i,r))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.Models(t))(n)}static _instantiate_references_json(e,t){const s={};for(const o of e){const e=o.id,n=o.type,i=o.attributes||{};let r;e in t?r=t[e]:(r=y._instantiate_object(e,n,i),null!=o.subtype&&r.set_subtype(o.subtype)),s[r.id]=r}return s}static _resolve_refs(e,t,s){function o(e){if(a.is_ref(e)){if(e.id in t)return t[e.id];if(e.id in s)return s[e.id];throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return m.isArray(e)?function(e){const t=[];for(const s of e)t.push(o(s));return t}(e):m.isPlainObject(e)?function(e){const t={};for(const s in e){const n=e[s];t[s]=o(n)}return t}(e):e}return o(e)}static _initialize_references_json(e,t,s){const o={};for(const n of e){const e=n.id,i=n.attributes,r=!(e in t),_=r?s[e]:t[e],l=y._resolve_refs(i,t,s);o[_.id]=[_,l,r]}function n(e,t){const s={};function o(n){if(n instanceof _.HasProps){if(!(n.id in s)&&n.id in e){s[n.id]=!0;const[,i,r]=e[n.id];for(const e in i){o(i[e])}t(n,i,r)}}else if(m.isArray(n))for(const e of n)o(e);else if(m.isPlainObject(n))for(const e in n){o(n[e])}}for(const t in 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s=t.to_json(!1);function o(e){const t={};for(const s of e.roots.references)t[s.id]=s;return t}const n=o(e),i={},r=[];for(const t of e.roots.root_ids)i[t]=n[t],r.push(t);const _=o(s),l={},a=[];for(const e of s.roots.root_ids)l[e]=_[e],a.push(e);if(r.sort(),a.sort(),h.difference(r,a).length>0||h.difference(a,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c={};let d=[];for(const e in t._all_models)if(e in n){const s=y._events_to_sync_objects(n[e],_[e],t,c);d=d.concat(s)}return{references:y._references_json(f.values(c),!1),events:d}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=f.values(this._all_models);return{version:n.version,title:this._title,roots:{root_ids:t,references:y._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return y.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${n.version}) / Python (${t})`;s||n.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const r=e.roots,_=r.root_ids,l=r.references,a=y._instantiate_references_json(l,{});y._initialize_references_json(l,{},a);const c=new y;for(const e of _)c.add_root(a[e]);return c.set_title(e.title),c}replace_with_json(e){y.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t={},s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:y._references_json(f.values(t))}}apply_json_patch(e,t=[],s){const o=e.references,n=e.events,r=y._instantiate_references_json(o,this._all_models);for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id;if(t in this._all_models)r[t]=this._all_models[t];else if(!(t in r))throw i.logger.warn(\"Got an event for unknown model \",e.model),new Error(\"event model wasn't known\");break}}const _={},l={};for(const e in r){const t=r[e];e in this._all_models?_[e]=t:l[e]=t}y._initialize_references_json(o,_,l);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.length)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=y._resolve_refs(o,_,l);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id;if(!(o in this._all_models))throw new Error(`Cannot apply patch to ${o} which is not in the document`);const n=this._all_models[o],i=e.attr;if(\"data\"===i&&\"ColumnDataSource\"===n.type){const[o,i]=c.decode_column_data(e.new,t);n.setv({_shapes:i,data:o},{setter_id:s})}else{const t=y._resolve_refs(e.new,_,l);n.setv({[i]:t},{setter_id:s})}break}case\"ColumnDataChanged\":{const o=e.column_source.id;if(!(o in this._all_models))throw new Error(`Cannot stream to ${o} which is not in the document`);const n=this._all_models[o],[i,r]=c.decode_column_data(e.new,t);if(null!=e.cols){for(const e in n.data)e in i||(i[e]=n.data[e]);for(const e in n._shapes)e in r||(r[e]=n._shapes[e])}n.setv({_shapes:r,data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id;if(!(t in this._all_models))throw new Error(`Cannot stream to ${t} which is not in the document`);const o=this._all_models[t];if(!(o instanceof v.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,i=e.rollover;o.stream(n,i,s);break}case\"ColumnsPatched\":{const t=e.column_source.id;if(!(t in this._all_models))throw new Error(`Cannot patch ${t} which is not in the document`);const o=this._all_models[t];if(!(o instanceof v.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=r[e.model.id];this.add_root(t,s);break}case\"RootRemoved\":{const t=r[e.model.id];this.remove_root(t,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=y,y.__name__=\"Document\"},\n", " function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13);s.overrides={};const i=new Map;s.Models=e=>{const r=s.overrides[e]||i.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. 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Investigative Reporters & Editors\n", " // Underscore may be freely distributed under the MIT license.\n", " const r=t(8),o=Object.prototype.toString;n.isEqual=function(t,e){return function t(e,n,c,u){if(e===n)return 0!==e||1/e==1/n;if(null==e||null==n)return e===n;const i=o.call(e);if(i!==o.call(n))return!1;switch(i){case\"[object RegExp]\":case\"[object String]\":return\"\"+e==\"\"+n;case\"[object Number]\":return+e!=+e?+n!=+n:0==+e?1/+e==1/n:+e==+n;case\"[object Date]\":case\"[object Boolean]\":return+e==+n}const s=\"[object Array]\"===i;if(!s){if(\"object\"!=typeof e||\"object\"!=typeof n)return!1;const t=e.constructor,o=n.constructor;if(t!==o&&!(r.isFunction(t)&&t instanceof t&&r.isFunction(o)&&o instanceof o)&&\"constructor\"in e&&\"constructor\"in n)return!1}u=u||[];let f=(c=c||[]).length;for(;f--;)if(c[f]===e)return u[f]===n;if(c.push(e),u.push(n),s){if(f=e.length,f!==n.length)return!1;for(;f--;)if(!t(e[f],n[f],c,u))return!1}else{const r=Object.keys(e);let o;if(f=r.length,Object.keys(n).length!==f)return!1;for(;f--;)if(o=r[f],!n.hasOwnProperty(o)||!t(e[o],n[o],c,u))return!1}return c.pop(),u.pop(),!0}(t,e)}},\n", " function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n", " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", " // Underscore may be freely distributed under the MIT license.\n", " function(n,e){return setTimeout(n,e)};const u=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;t.defer=function(n){return new Promise(e=>{u(()=>e(n()))})},t.throttle=function(n,e,t={}){let u,o,i,r=null,l=0;const c=function(){l=!1===t.leading?0:Date.now(),r=null,i=n.apply(u,o),r||(u=o=null)};return function(){const a=Date.now();l||!1!==t.leading||(l=a);const f=e-(a-l);return u=this,o=arguments,f<=0||f>e?(r&&(clearTimeout(r),r=null),l=a,i=n.apply(u,o),r||(u=o=null)):r||!1===t.trailing||(r=setTimeout(c,f)),i}},t.once=function(n){let e,t=!1;return 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extends(s.Signalable()){constructor(e,t,n){super(),this.obj=e,this.attr=t,this.default_value=n,this.optional=!1,this.change=new s.Signal0(this.obj,\"change\"),this._init(),this.connect(this.change,()=>this._init())}update(){this._init()}init(){}transform(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj.type}.${this.attr} given invalid value: ${_(e)}`)}valid(e){return!0}value(e=!0){if(void 0===this.spec.value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.transform([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}_init(){const e=this.obj,t=this.attr;let n=e.getv(t);if(void 0===n){const i=this.default_value;n=void 0!==i?i(e):null,e.setv({[t]:n},{silent:!0,defaults:!0})}c.isArray(n)?this.spec={value:n}:u(n)?this.spec=n:this.spec={value:n},null!=this.spec.value&&this.validate(this.spec.value),this.init()}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${_(this.spec)})`}}n.Property=d,d.__name__=\"Property\";class p extends d{}n.Any=p,p.__name__=\"Any\";class h extends d{valid(e){return c.isArray(e)||e instanceof Float64Array}}n.Array=h,h.__name__=\"Array\";class m extends d{valid(e){return c.isBoolean(e)}}n.Boolean=m,m.__name__=\"Boolean\";class S extends d{valid(e){return c.isString(e)&&l.is_color(e)}}n.Color=S,S.__name__=\"Color\";class g extends d{}n.Instance=g,g.__name__=\"Instance\";class v extends d{valid(e){return c.isNumber(e)}}n.Number=v,v.__name__=\"Number\";class x extends v{valid(e){return c.isNumber(e)&&(0|e)==e}}n.Int=x,x.__name__=\"Int\";class f extends v{}n.Angle=f,f.__name__=\"Angle\";class y extends v{valid(e){return c.isNumber(e)&&0<=e&&e<=1}}n.Percent=y,y.__name__=\"Percent\";class P extends d{valid(e){return c.isString(e)}}n.String=P,P.__name__=\"String\";class L extends P{}n.FontSize=L,L.__name__=\"FontSize\";class T extends P{}n.Font=T,T.__name__=\"Font\";class A extends d{valid(e){return 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r=Promise.resolve(e.call(this,t,i));this._ready=this._ready.then(()=>r)},this)}disconnect(t,e){return t.disconnect(e,this)}initialize(){}async lazy_initialize(){}remove(){this._parent=void 0,this.disconnect_signals(),this.removed.emit()}toString(){return`${this.model.type}View(${this.id})`}serializable_state(){return{type:this.model.type}}get parent(){if(void 0!==this._parent)return this._parent;throw new Error(\"parent of a view wasn't configured\")}get is_root(){return null===this.parent}get root(){return this.is_root?this:this.parent.root}assert_root(){if(!this.is_root)throw new Error(`${this.toString()} is not a root layout`)}connect_signals(){}disconnect_signals(){r.Signal.disconnectReceiver(this)}on_change(t,e){for(const i of n.isArray(t)?t:[t])this.connect(i.change,e)}}i.View=s,s.__name__=\"View\"},\n", " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(8),s=t=>(e={},...n)=>{const s=document.createElement(t);s.classList.add(\"bk\");for(const t in 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e=getComputedStyle(t);return{border:{top:c(e.borderTopWidth),bottom:c(e.borderBottomWidth),left:c(e.borderLeftWidth),right:c(e.borderRightWidth)},margin:{top:c(e.marginTop),bottom:c(e.marginBottom),left:c(e.marginLeft),right:c(e.marginRight)},padding:{top:c(e.paddingTop),bottom:c(e.paddingBottom),left:c(e.paddingLeft),right:c(e.paddingRight)}}}function h(t){const e=t.getBoundingClientRect();return{width:Math.ceil(e.width),height:Math.ceil(e.height)}}n.createElement=function(t,e,...n){return s(t)(e,...n)},n.div=s(\"div\"),n.span=s(\"span\"),n.canvas=s(\"canvas\"),n.link=s(\"link\"),n.style=s(\"style\"),n.a=s(\"a\"),n.p=s(\"p\"),n.i=s(\"i\"),n.pre=s(\"pre\"),n.button=s(\"button\"),n.label=s(\"label\"),n.input=s(\"input\"),n.select=s(\"select\"),n.option=s(\"option\"),n.optgroup=s(\"optgroup\"),n.textarea=s(\"textarea\"),n.nbsp=function(){return document.createTextNode(\" \")},n.append=function(t,...e){for(const n of e)t.appendChild(n)},n.remove=o,n.removeElement=o,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=l,n.empty=function(t){let e;for(;e=t.firstChild;)t.removeChild(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){const e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=r,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(r(n,e))return n;return null},n.extents=a,n.size=h,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:s}}=a(t),{width:o,height:l}=h(t);return{width:Math.ceil(o+e+n),height:Math.ceil(l+i+s)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=a(t);let s=0,o=0;for(const l of t.children){const t=l.getBoundingClientRect();s=Math.max(s,Math.ceil(t.left-e-i.left+t.width)),o=Math.max(o,Math.ceil(t.top-n-i.top+t.height))}return{width:s,height:o}},n.position=function(t,e,n){const{style:i}=t;if(i.left=`${e.x}px`,i.top=`${e.y}px`,i.width=`${e.width}px`,i.height=`${e.height}px`,null==n)i.margin=\"\";else{const{top:t,right:e,bottom:s,left:o}=n;i.margin=`${t}px ${e}px ${s}px ${o}px`}},n.children=function(t){return Array.from(t.children)};class d{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e\":case\"vertical_wave\":_.moveTo(n,0),_.lineTo(3*n,o),_.lineTo(n,l),_.stroke();break;case\"*\":case\"criss_cross\":h(_,l),c(_,l,o),i(_,l,o)}return r}class n{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e){for(const t of this.attrs){const a=this.obj.properties[this.prefix+t];if(void 0!==a.spec.value)this.cache[t]=a.spec.value;else{if(null==e)throw new Error(\"source is required with a vectorized visual property\");this.cache[t+\"_array\"]=a.array(e)}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}set_vectorize(e,t){null!=this.all_indices?this._set_vectorize(e,this.all_indices[t]):this._set_vectorize(e,t)}}a.ContextProperties=n,n.__name__=\"ContextProperties\";class r extends n{set_value(e){e.strokeStyle=this.line_color.value(),e.globalAlpha=this.line_alpha.value(),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.setLineDash(this.line_dash.value()),e.setLineDashOffset(this.line_dash_offset.value())}get doit(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)}_set_vectorize(e,t){this.cache_select(\"line_color\",t),e.strokeStyle!==this.cache.line_color&&(e.strokeStyle=this.cache.line_color),this.cache_select(\"line_alpha\",t),e.globalAlpha!==this.cache.line_alpha&&(e.globalAlpha=this.cache.line_alpha),this.cache_select(\"line_width\",t),e.lineWidth!==this.cache.line_width&&(e.lineWidth=this.cache.line_width),this.cache_select(\"line_join\",t),e.lineJoin!==this.cache.line_join&&(e.lineJoin=this.cache.line_join),this.cache_select(\"line_cap\",t),e.lineCap!==this.cache.line_cap&&(e.lineCap=this.cache.line_cap),this.cache_select(\"line_dash\",t),e.getLineDash()!==this.cache.line_dash&&e.setLineDash(this.cache.line_dash),this.cache_select(\"line_dash_offset\",t),e.getLineDashOffset()!==this.cache.line_dash_offset&&e.setLineDashOffset(this.cache.line_dash_offset)}color_value(){const[e,t,a,s]=l.color2rgba(this.line_color.value(),this.line_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}}a.Line=r,r.__name__=\"Line\",r.prototype.attrs=Object.keys(s.line());class _ extends n{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle!==this.cache.fill_color&&(e.fillStyle=this.cache.fill_color),this.cache_select(\"fill_alpha\",t),e.globalAlpha!==this.cache.fill_alpha&&(e.globalAlpha=this.cache.fill_alpha)}color_value(){const[e,t,a,s]=l.color2rgba(this.fill_color.value(),this.fill_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}}a.Fill=_,_.__name__=\"Fill\",_.prototype.attrs=Object.keys(s.fill());class p extends n{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:l,hatch_extra:c}=this.cache;if(null!=c&&c.hasOwnProperty(s)){const t=c[s];this.cache.pattern=t.get_pattern(e,a,l)}else this.cache.pattern=t=>{const c=o(s,e,a,l);return t.createPattern(c,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha!==this.cache.hatch_alpha&&(e.globalAlpha=this.cache.hatch_alpha)}color_value(){const[e,t,a,s]=l.color2rgba(this.hatch_color.value(),this.hatch_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}}a.Hatch=p,p.__name__=\"Hatch\",p.prototype.attrs=Object.keys(s.hatch());class u extends n{cache_select(e,t){let a;if(\"font\"==e){super.cache_select(\"text_font_style\",t),super.cache_select(\"text_font_size\",t),super.cache_select(\"text_font\",t);const{text_font_style:e,text_font_size:s,text_font:l}=this.cache;this.cache.font=a=`${e} ${s} ${l}`}else a=super.cache_select(e,t);return a}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return this.text_font_style.value()+\" \"+t+\" \"+e}color_value(){const[e,t,a,s]=l.color2rgba(this.text_color.value(),this.text_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font!==this.cache.font&&(e.font=this.cache.font),this.cache_select(\"text_color\",t),e.fillStyle!==this.cache.text_color&&(e.fillStyle=this.cache.text_color),this.cache_select(\"text_alpha\",t),e.globalAlpha!==this.cache.text_alpha&&(e.globalAlpha=this.cache.text_alpha),this.cache_select(\"text_align\",t),e.textAlign!==this.cache.text_align&&(e.textAlign=this.cache.text_align),this.cache_select(\"text_baseline\",t),e.textBaseline!==this.cache.text_baseline&&(e.textBaseline=this.cache.text_baseline)}}a.Text=u,u.__name__=\"Text\",u.prototype.attrs=Object.keys(s.text());class f{constructor(e){for(const t of e.mixins){const[a,s=\"\"]=t.split(\":\");let l;switch(a){case\"line\":l=r;break;case\"fill\":l=_;break;case\"hatch\":l=p;break;case\"text\":l=u;break;default:throw new Error(`unknown visual: ${a}`)}this[s+a]=new l(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof n&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof n&&(a.all_indices=e)}}}a.Visuals=f,f.__name__=\"Visuals\"},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),r=n.__importStar(e(19)),a=e(8),i=e(23),o=e(70);class _ extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[r.Array,[]],name:[r.String],js_property_callbacks:[r.Any,{}],js_event_callbacks:[r.Any,{}],subscribed_events:[r.Array,[]]})}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this.id):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const t in this._js_callbacks){const s=this._js_callbacks[t],n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks={};for(const t in this.js_property_callbacks){const s=this.js_property_callbacks[t].map(e=>()=>e.execute(this));this._js_callbacks[t]=s;const n=e(t);for(const e of s)this.connect(n,e)}}_doc_attached(){i.isEmpty(this.js_event_callbacks)&&i.isEmpty(this.subscribed_events)||this._update_event_callbacks()}select(e){if(a.isString(e))return this.references().filter(t=>t instanceof _&&t.name===e);if(e.prototype instanceof c.HasProps)return this.references().filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=_,_.__name__=\"Model\",_.init_Model()},\n", " function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].levelthis.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.plot_view.canvas_view;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;nnew n.OpenHead({})],source:[o.Instance],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]})}}s.Arrow=h,h.__name__=\"Arrow\",h.init_Arrow()},\n", " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),l=i(29),n=i(68),o=t.__importStar(i(19));class h extends l.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[o.Number,25]})}initialize(){super.initialize(),this.visuals=new n.Visuals(this)}}s.ArrowHead=h,h.__name__=\"ArrowHead\",h.init_ArrowHead();class a extends h{constructor(i){super(i)}static init_OpenHead(){this.mixins([\"line\"])}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=a,a.__name__=\"OpenHead\",a.init_OpenHead();class r extends h{constructor(i){super(i)}static init_NormalHead(){this.mixins([\"line\",\"fill\"]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=r,r.__name__=\"NormalHead\",r.init_NormalHead();class z extends h{constructor(i){super(i)}static init_VeeHead(){this.mixins([\"line\",\"fill\"]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=z,z.__name__=\"VeeHead\",z.init_VeeHead();class _ extends h{constructor(i){super(i)}static init_TeeHead(){this.mixins([\"line\"])}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=_,_.__name__=\"TeeHead\",_.init_TeeHead()},\n", " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),a=t(74),o=t(13),i=s.__importStar(t(19)),r=t(15),l=t(100),u=t(8),c=s.__importStar(t(102)),_=t(23),h=t(103);function d(t,e,n){if(u.isArray(t)){const s=t.concat(e);return null!=n&&s.length>n?s.slice(-n):s}if(u.isTypedArray(t)){const s=t.length+e.length;if(null!=n&&s>n){const a=s-n,o=t.length;let i;t.lengthnew _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection],_shapes:[l.Any,{}]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n", " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(69),o=e(76),i=c.__importStar(e(19));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n", " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(69),l=t.__importStar(i(19)),_=i(9),h=i(23);class c extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({final:[l.Boolean],selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e,s){this.final=e,s?this.update_through_union(i):(this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices)}clear(){this.final=!0,this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=_.union(i.indices,this.indices),this.selected_glyphs=_.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=_.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=_.intersection(i.indices,this.indices),this.selected_glyphs=_.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=_.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=c,c.__name__=\"Selection\",c.init_Selection()},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(13),o=e(76),c=e(78),r=e(97),l=s.__importStar(e(19));class _ extends n.HasProps{constructor(e){super(e),this.inspectors={}}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,i,s=!1){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,i,s)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,i,s)}return l}inspect(e,t){let i=!1;if(e instanceof c.GlyphRendererView){const s=e.hit_test(t);if(null!=s){i=!s.is_empty();const n=this.get_or_create_inspector(e.model);n.update(s,!0,!1),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const s=e.model.inspection_policy.hit_test(t,e);i=i||e.model.inspection_policy.do_inspection(s,t,e,!1,!1)}return i}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){return null==this.inspectors[e.id]&&(this.inspectors[e.id]=new o.Selection),this.inspectors[e.id]}}i.SelectionManager=_,_.__name__=\"SelectionManager\",_.init_SelectionManager()},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(79),n=e(80),h=e(91),o=e(92),a=e(94),r=e(95),_=e(70),d=s.__importStar(e(19)),c=e(12),g=e(9),p=e(23),y=e(96),u=e(88),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e.mixins,\"fill\"),i=g.includes(e.mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const r=l(v);this.decimated_glyph=await this.build_glyph_view(r),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s),this.decimated_glyph.set_visuals(s),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s),this.nonselection_glyph.set_visuals(s)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:c.map(Object.keys(u.multiline_indices),e=>parseInt(e)))()),v=c.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,R=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);R=Date.now()-e,D=Date.now(),b.render(d,s,this.glyph),x.render(d,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(d,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(d,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(d,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(d,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(d,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e.id==this.glyph.model.id&&this.hover_glyph.render(d,this.all_indices,this.glyph);else w.render(d,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(d,v,this.glyph);const V=Date.now()-D;this.last_dtrender=V;const $=Date.now()-e;_.logger.debug(`${this.glyph.model.type} GlyphRenderer (${this.model.id}): render finished in ${$}ms`),_.logger.trace(` - map_data finished in : ${i}ms`),_.logger.trace(` - mask_data finished in : ${r}ms`),null!=R&&_.logger.trace(` - selection mask finished in : ${R}ms`),_.logger.trace(` - glyph renders finished in : ${V}ms`),d.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[d.Instance],view:[d.Instance,()=>new r.CDSView],glyph:[d.Instance],hover_glyph:[d.Instance],nonselection_glyph:[d.Any,\"auto\"],selection_glyph:[d.Any,\"auto\"],muted_glyph:[d.Instance],muted:[d.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=c.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n", " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(63),_=t.__importStar(e(19));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(81),_=e(90),l=s.__importStar(e(87));class r extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=l.create_empty_hit_test_result(),i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},r={x:this.sx[e+1],y:this.sy[e+1]},h=l.dist_to_segment(i,_,r);hthis,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=l.create_empty_hit_test_result();let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;ethis,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=r,r.__name__=\"LineView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=r,this.mixins([\"line\"])}}i.Line=h,h.__name__=\"Line\",h.init_Line()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(82),n=e(86);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n", " function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(84)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush 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this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e=n)return;const o=s[h+n>>1];let r=h-1,_=n+1;for(;;){do{r++}while(s[r]o);if(r>=_)break;a(s,i,e,r,_)}t(s,i,e,h,_),t(s,i,e,_+1,n)}(i,this._boxes,this._indices,0,this.numItems-1);for(let t=0,s=0;th&&(h=r),a>n&&(n=a)}this._indices[this._pos>>2]=o,this._boxes[this._pos++]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4,o=this._levelBounds.length-1;const r=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,this._levelBounds[o]);for(let d=n;d<_;d+=4){const _=0|this._indices[d>>2];ithis._boxes[d+2]||s>this._boxes[d+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):(r.push(_),r.push(o-1))))}o=r.pop(),n=r.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],l=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=l;const u=i[e];i[e]=i[h],i[h]=u}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,l=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),l=16711935&(l|l<<8),l=252645135&(l|l<<4),l=858993459&(l|l<<2),l=1431655765&(l|l<<1),(l<<1|d)>>>0}i.default=n},\n", " function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,e=this.values[s];if(t>=e)break;this.ids[i]=this.ids[s],this.values[i]=e,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let e=0;for(;e=t)break;this.ids[e]=h,this.values[e]=l,e=s}this.ids[e]=s,this.values[e]=t}return s}peek(){return this.ids[0]}peekValue(){return this.values[0]}}},\n", " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;hi.__importStar(t(358)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;c.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t){this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=a.empty(),e=this.index.search(a.positive_x());for(const s of e)s.x0t.x1&&(t.x1=s.x1);const s=this.index.search(a.positive_y());for(const e of s)e.y0t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=d.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?d.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):d.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(c.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:r}=t,[a,_]=this.renderer.xscale.r_invert(e,s),[l,o]=this.renderer.yscale.r_invert(i,r),h=n.create_empty_hit_test_result();return h.indices=this.index.indices({x0:a,x1:_,y0:l,y1:o}),h}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(this.visuals.set_all_indices(e),e&&!(this instanceof u.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(p.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=_.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=_.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=_.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=_.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=`_${s}`,i=`_${i}`,null!=n._xs?(t instanceof g.FactorRange&&(n[s]=d.map(n[s],e=>t.v_synthetic(e))),e instanceof g.FactorRange&&(n[i]=d.map(n[i],t=>e.v_synthetic(t)))):(t instanceof g.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof g.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=`s${e}`,n=`s${s}`;if(e=`_${e}`,s=`_${s}`,null!=t[e]&&(y.isArray(t[e][0])||y.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let c=0;cn).map(([t,n])=>t),n},e.dist_2_pts=o,e.dist_to_segment_squared=c,e.dist_to_segment=function(t,n,e){return Math.sqrt(c(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,r,s,o,c){const u=(c-s)*(e-t)-(o-r)*(i-n);if(0==u)return{hit:!1,x:null,y:null};{let _=n-s,l=t-r;const h=(e-t)*_-(i-n)*l;return _=((o-r)*_-(c-s)*l)/u,l=h/u,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n", " function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(89),r=i.__importStar(t(19)),a=t(12),o=t(9),p=t(8),h=t(11);function g(t,n,e=0){const i={};for(let s=0;sa[t].value));s[t]={value:u/i,mapping:a},p+=i+n+c}return[s,a,(a.length-1)*n+h]}function u(t,n,e,i,s=0){const r={},a={},p=[];for(const[n,e,i]of t)n in a||(a[n]=[],p.push(n)),a[n].push([e,i]);const h=[];let g=s,u=0;for(const t of p){const s=a[t].length,[p,l,_]=c(a[t],e,i,g);for(const n of l)h.push([t,n]);u+=_;const d=o.sum(a[t].map(([t])=>p[t].value));r[t]={value:d/s,mapping:p},g+=s+n+_}return[r,p,h,(p.length-1)*n+u]}e.map_one_level=g,e.map_two_levels=c,e.map_three_levels=u;class l extends s.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array],tops:[r.Array],tops_groups:[r.Array]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){if(1==t.length){const n=this._mapping;return n.hasOwnProperty(t[0])?n[t[0]].value:NaN}if(2==t.length){const n=this._mapping;return n.hasOwnProperty(t[0])&&n[t[0]].mapping.hasOwnProperty(t[1])?n[t[0]].mapping[t[1]].value:NaN}if(3==t.length){const n=this._mapping;return n.hasOwnProperty(t[0])&&n[t[0]].mapping.hasOwnProperty(t[1])&&n[t[0]].mapping[t[1]].mapping.hasOwnProperty(t[2])?n[t[0]].mapping[t[1]].mapping[t[2]].value:NaN}h.unreachable()}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return p.isNumber(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){let n,e;if(o.every(this.factors,p.isString))n=1,[this._mapping,e]=g(this.factors,this.factor_padding);else if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1])))n=2,[this._mapping,this.tops,e]=c(this.factors,this.group_padding,this.factor_padding);else{if(!o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2])))throw new Error(\"???\");n=3,[this._mapping,this.tops,this.mids,e]=u(this.factors,this.group_padding,this.subgroup_padding,this.factor_padding)}let i=0,s=this.factors.length+e;if(\"percent\"==this.range_padding_units){const t=(s-i)*this.range_padding/2;i-=t,s+=t}else i-=this.range_padding,s+=this.range_padding;this.setv({start:i,end:s,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[i,s]},{silent:!0})}}e.FactorRange=l,l.__name__=\"FactorRange\",l.init_FactorRange()},\n", " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(69),r=i.__importStar(e(19));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(87));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x:x,y:y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(81),_=e(90),n=s.__importStar(e(87));class a extends l.XYGlyphView{_inner_loop(e,t,i,s,l){for(const _ of t)0!=_?isNaN(i[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(i[_],s[_]):(e.beginPath(),e.moveTo(i[_],s[_]));e.closePath(),l.call(e)}_render(e,t,{sx:i,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,t,i,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,t,i,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,t,i,s,e.stroke))}draw_legend_for_index(e,t,i){_.generic_area_legend(this.visuals,e,t,i)}_hit_point(e){const t=n.create_empty_hit_test_result();return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(t.add_to_selected_glyphs(this.model),t.get_view=()=>this),t}}i.PatchView=a,a.__name__=\"PatchView\";class o extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=a,this.mixins([\"line\",\"fill\",\"hatch\"])}}i.Patch=o,o.__name__=\"Patch\",o.init_Patch()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(93),n=e(82),_=i.__importStar(e(87)),a=i.__importStar(e(19));class h extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=_.create_empty_hit_test_result(),s=this.sy.length,i=new Float64Array(2*s),r=new Float64Array(2*s);for(let e=0,t=s;ethis),t}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=h,h.__name__=\"HAreaView\";class l extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=h,this.define({x1:[a.CoordinateSpec],x2:[a.CoordinateSpec],y:[a.CoordinateSpec]})}}s.HArea=l,l.__name__=\"HArea\",l.init_HArea()},\n", " function _(e,i,_){Object.defineProperty(_,\"__esModule\",{value:!0});const a=e(86),n=e(90);class s extends a.GlyphView{draw_legend_for_index(e,i,_){n.generic_area_legend(this.visuals,e,i,_)}}_.AreaView=s,s.__name__=\"AreaView\";class r extends a.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([\"fill\",\"hatch\"])}}_.Area=r,r.__name__=\"Area\",r.init_Area()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(93),n=e(82),_=i.__importStar(e(87)),a=i.__importStar(e(19));class h extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=_.create_empty_hit_test_result(),s=this.sx.length,i=new Float64Array(2*s),r=new Float64Array(2*s);for(let e=0,t=s;ethis),t}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=h,h.__name__=\"VAreaView\";class l extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=h,this.define({x:[a.CoordinateSpec],y1:[a.CoordinateSpec],y2:[a.CoordinateSpec]})}}s.VArea=l,l.__name__=\"VArea\",l.init_VArea()},\n", " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(69),c=t.__importStar(i(19)),o=i(76),r=i(9),_=i(74);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;ithis.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n", " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(9);async function o(e,n,t){const i=new e(Object.assign(Object.assign({},t),{model:n}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const i=await o(t(e),e,n);return i.connect_signals(),i},t.build_views=async function(e,n,t={parent:null},c=(e=>e.default_view)){const s=i.difference(Object.keys(e),n.map(e=>e.id));for(const n of s)e[n].remove(),delete e[n];const a=[],l=n.filter(n=>null==e[n.id]);for(const n of l){const i=await o(c(n),n,t);e[n.id]=i,a.push(i)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const n in e)e[n].remove(),delete e[n]}},\n", " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(79),a=e(98),i=s.__importStar(e(19)),d=e(96);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views={}}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[i.Instance],node_renderer:[i.Instance],edge_renderer:[i.Instance],selection_policy:[i.Instance,()=>new a.NodesOnly],inspection_policy:[i.Instance,()=>new a.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n", " function _(e,t,d){Object.defineProperty(d,\"__esModule\",{value:!0});const n=e(69),s=e(12),o=e(9),_=e(87);class i extends n.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const d=t.node_view.glyph.hit_test(e);return null==d?null:t.node_view.model.view.convert_selection_from_subset(d)}_hit_test_edges(e,t){if(!t.model.visible)return null;const d=t.edge_view.glyph.hit_test(e);return null==d?null:t.edge_view.model.view.convert_selection_from_subset(d)}}d.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.model.get_selection_manager().get_or_create_inspector(d.node_view.model);return o.update(e,n,s),d.node_view.model.data_source.setv({inspected:o},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view,{geometry:t}]),!o.is_empty()}}d.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==d&&(n=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;es.indexOf(e.data.index,t)),c=_.create_empty_hit_test_result();return c.indices=r,c}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,d,n);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model);o.update(e,n,s),d.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),i=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return _.update(i,n,s),d.node_view.model.data_source.setv({inspected:_},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n", " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(69);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n", " function _(r,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=r(8),a=r(101);function o(r){const n=new Uint8Array(r.buffer,r.byteOffset,2*r.length);for(let r=0,t=n.length;rString.fromCharCode(r));return btoa(t.join(\"\"))}function y(r){const n=atob(r),t=n.length,e=new Uint8Array(t);for(let r=0,a=t;rr.filter(r=>0!=r.length))]}function d(r,n){const t=[];for(let a=0,o=r.length;a{const e=\"undefined\"!=typeof navigator?navigator.userAgent:\"\";return e.indexOf(\"MSIE\")>=0||e.indexOf(\"Trident\")>0||e.indexOf(\"Edge\")>0})(),i.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),i.is_little_endian=(()=>{const e=new ArrayBuffer(4),n=new Uint8Array(e);new Uint32Array(e)[1]=168496141;let i=!0;return 10==n[4]&&11==n[5]&&12==n[6]&&13==n[7]&&(i=!1),i})()},\n", " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentChangedEvent=o,o.__name__=\"DocumentChangedEvent\";class r extends o{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(\"\",t,null);return n.HasProps._value_record_references(t,{},!0),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=r,r.__name__=\"MessageSentEvent\";class d extends o{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(this.attr,t,this.model),o={};n.HasProps._value_record_references(t,o,!0),this.model.id in o&&this.model!==t&&delete o[this.model.id];for(const t in o)e[t]=o[t];return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=d,d.__name__=\"ModelChangedEvent\";class i extends o{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=i,i.__name__=\"ColumnsPatchedEvent\";class _ extends o{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=_,_.__name__=\"ColumnsStreamedEvent\";class a extends o{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=a,a.__name__=\"TitleChangedEvent\";class l extends o{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,!0),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=l,l.__name__=\"RootAddedEvent\";class h extends o{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=h,h.__name__=\"RootRemovedEvent\"},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(29),o=e(73),l=i.__importStar(e(19));class a extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.plot_view.canvas_view;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;tnew o.ColumnDataSource],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=n,n.__name__=\"Band\",n.init_Band()},\n", " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(29),o=t(14),n=t(66),a=s.__importStar(t(19)),h=t(85),r=t(106);i.EDGE_TOLERANCE=2.5;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),this.el.classList.add(r.bk_shading),n.undisplay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>this.render()),this.connect(this.model.data_update,()=>this.render())):(this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render()))}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return void n.undisplay(this.el);const{frame:t}=this.plot_view,e=t.xscales[this.model.x_range_name],i=t.yscales[this.model.y_range_name],s=(t,e,i,s,l)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==e?i.compute(t):s.compute(t):l,o};this.sleft=s(this.model.left,this.model.left_units,e,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,e,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,i,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,i,t.yview,t._bottom.value),(\"css\"==this.model.render_mode?this._css_box.bind(this):this._canvas_box.bind(this))(this.sleft,this.sright,this.sbottom,this.stop)}_css_box(t,e,i,s){const l=this.model.properties.line_width.value(),o=Math.floor(e-t)-l,a=Math.floor(i-s)-l;this.el.style.left=`${t}px`,this.el.style.width=`${o}px`,this.el.style.top=`${s}px`,this.el.style.height=`${a}px`,this.el.style.borderWidth=`${l}px`,this.el.style.borderColor=this.model.properties.line_color.value(),this.el.style.backgroundColor=this.model.properties.fill_color.value(),this.el.style.opacity=this.model.properties.fill_alpha.value();const h=this.model.properties.line_dash.value().length<2?\"solid\":\"dashed\";this.el.style.borderStyle=h,n.display(this.el)}_canvas_box(t,e,i,s){const{ctx:l}=this.plot_view.canvas_view;l.save(),l.beginPath(),l.rect(t,s,e-t,i-s),this.visuals.fill.set_value(l),l.fill(),this.visuals.line.set_value(l),l.stroke(),l.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+i.EDGE_TOLERANCE;return new h.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,e){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,e)}cursor(t,e){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(e-this.sbottom)<3||Math.abs(e-this.stop)<3?this.model.ns_cursor:t>this.sleft&&tthis.stop&&ethis.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=c.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const s=o.getContext(\"2d\"),a=s.getImageData(0,0,t,e),l=new r.LinearColorMapper({palette:i}).rgba_mapper.v_compute(c.range(0,i.length));a.data.set(l),s.putImageData(a,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),s=this._title_extent(),a=this._tick_extent(),{padding:l}=this.model;let r,n;switch(this.model.orientation){case\"vertical\":r=e+s+2*l,n=i+a+o+2*l;break;case\"horizontal\":r=e+s+a+o+2*l,n=i+2*l}return{width:n,height:r}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,s=null!=this.panel?this.panel:this.plot_view.frame,[a,l]=s.bbox.ranges,{location:r}=this.model;let n,_;if(g.isString(r))switch(r){case\"top_left\":n=a.start+o,_=l.start+o;break;case\"top_center\":n=(a.end+a.start)/2-i/2,_=l.start+o;break;case\"top_right\":n=a.end-o-i,_=l.start+o;break;case\"bottom_right\":n=a.end-o-i,_=l.end-o-e;break;case\"bottom_center\":n=(a.end+a.start)/2-i/2,_=l.end-o-e;break;case\"bottom_left\":n=a.start+o,_=l.end-o-e;break;case\"center_left\":n=a.start+o,_=(l.end+l.start)/2-e/2;break;case\"center\":n=(a.end+a.start)/2-i/2,_=(l.end+l.start)/2-e/2;break;case\"center_right\":n=a.end-o-i,_=(l.end+l.start)/2-e/2}else if(g.isArray(r)&&2==r.length){const[t,i]=r;n=s.xview.compute(t),_=s.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.plot_view.canvas_view;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),s=this._computed_image_dimensions(),[a,l]=[s.width*i,s.height*o],[r,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(a,l),this.visuals.major_tick_line.set_value(t);for(let e=0,s=r.length;ei.measureText(t.toString()).width));break;case\"horizontal\":e=d.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?d.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?c.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,s;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=c.max([25*this.model.color_mapper.palette.length,.3*t]),o=c.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,s=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?s=e-2*this.model.padding:(s=c.max([25*this.model.color_mapper.palette.length,.3*e]),s=c.min([s,.8*e-2*this.model.padding])):s=this.model.width}return{width:s,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;tl||(h[o].push(n[t]),h[s].push(0));for(let t=0,e=_.length;tl||(m[o].push(_[t]),m[s].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[s]=h[s],c.minor[s]=m[s],\"vertical\"==this.model.orientation&&(c.major[o]=u.map(c.major[o],t=>e-t),c.minor[o]=u.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends s.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([\"text:major_label_\",\"text:title_\",\"line:major_tick_\",\"line:minor_tick_\",\"line:border_\",\"line:bar_\",\"fill:background_\"]),this.define({location:[m.Any,\"top_right\"],orientation:[m.Orientation,\"vertical\"],title:[m.String],title_standoff:[m.Number,2],width:[m.Any,\"auto\"],height:[m.Any,\"auto\"],scale_alpha:[m.Number,1],ticker:[m.Instance,()=>new a.BasicTicker],formatter:[m.Instance,()=>new l.BasicTickFormatter],major_label_overrides:[m.Any,{}],color_mapper:[m.Instance],label_standoff:[m.Number,5],margin:[m.Number,30],padding:[m.Number,10],major_tick_in:[m.Number,5],major_tick_out:[m.Number,0],minor_tick_in:[m.Number,0],minor_tick_out:[m.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"8pt\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"10pt\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n", " function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(109);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n", " function _(t,i,a){Object.defineProperty(a,\"__esModule\",{value:!0});const e=t(1),s=t(110),n=t(9),r=e.__importStar(t(19));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,a){const e=i-t,s=this.get_ideal_interval(t,i,a),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=Math.pow(this.base,r)*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(a-e/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}a.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n", " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(111),s=n.__importStar(t(19)),o=t(9),_=t(8);class c extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),c=Math.ceil(i/r);let u;u=_.isStrictNaN(s)||_.isStrictNaN(c)?[]:o.range(s,c+1);const a=u.map(t=>t*r).filter(e=>t<=e&&e<=i),l=this.num_minor_ticks,m=[];if(l>0&&a.length>0){const e=r/l,n=o.range(0,l).map(t=>t*e);for(const e of n.slice(1)){const n=a[0]-e;t<=n&&n<=i&&m.push(n)}for(const e of a)for(const r of n){const n=e+r;t<=n&&n<=i&&m.push(n)}}return{major:a,minor:m}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=c,c.__name__=\"ContinuousTicker\",c.init_ContinuousTicker()},\n", " function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(69);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n", " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),o=i(113),s=r.__importStar(i(19));class n extends o.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[s.Any,\"auto\"],use_scientific:[s.Boolean,!0],power_limit_high:[s.Number,5],power_limit_low:[s.Number,-3]})}get scientific_limit_low(){return Math.pow(10,this.power_limit_low)}get scientific_limit_high(){return Math.pow(10,this.power_limit_high)}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const o of i){const i=Math.abs(o);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,o=i.length;t=1;r?o++:o--){if(t){e[0]=i[0].toExponential(o);for(let t=1;tu?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n", " function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(116),e=i.__importStar(o(19));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n", " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(117),_=n.__importStar(t(19)),i=t(8),l=t(21),c=t(101);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;rt)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n", " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(118);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n", " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(69);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n", " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(120);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n", " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(121);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n", " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(122),s=n.__importStar(t(19));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;rt.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.xthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>sthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n", " function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(120);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;ethis.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:_.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:_.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=`${s+n[0]}px`,this.el.style.top=`${i+n[1]}px`,this.el.style.color=`${this.visuals.text.text_color.value()}`,this.el.style.opacity=`${this.visuals.text.text_alpha.value()}`,this.el.style.font=`${this.visuals.text.font_value()}`,this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=`${this.visuals.background_fill.color_value()}`),this.visuals.border_line.doit&&(this.el.style.borderStyle=`${o}`,this.el.style.borderWidth=`${this.visuals.border_line.line_width.value()}px`,this.el.style.borderColor=`${this.visuals.border_line.color_value()}`),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class c extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=c,c.__name__=\"TextAnnotation\",c.init_TextAnnotation()},\n", " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(133),o=t(73),a=t(66),n=i.__importStar(t(19)),r=t(106);class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||a.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.plot_view.canvas_view,[s,i]=this._map_data();for(let l=0,o=this._text.length;lnew o.ColumnDataSource],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n", " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(29),n=s.__importStar(t(19)),h=t(14),a=t(131),_=t(85),o=t(9),r=t(23),d=t(8),c=t(11);class m extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=o.max([a.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.plot_view.canvas_view;n.save(),this.visuals.label_text.set_value(n),this.text_widths={};for(const e of t)this.text_widths[e]=o.max([n.measureText(e).width,l]);this.visuals.title_text.set_value(n),this.title_height=this.model.title?a.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(o.max(r.values(this.text_widths)),0),m=this.model.margin,{legend_padding:g}=this,b=this.model.spacing,{label_standoff:f}=this.model;let u,x;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*b+2*g+this.title_height,x=o.max([h+i+f+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*b;for(const t in this.text_widths){const s=this.text_widths[t];e+=o.max([s,l])+i+f}x=o.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const p=null!=this.panel?this.panel:this.plot_view.frame,[v,w]=p.bbox.ranges,{location:y}=this.model;let k,N;if(d.isString(y))switch(y){case\"top_left\":k=v.start+m,N=w.start+m;break;case\"top_center\":k=(v.end+v.start)/2-x/2,N=w.start+m;break;case\"top_right\":k=v.end-m-x,N=w.start+m;break;case\"bottom_right\":k=v.end-m-x,N=w.end-m-u;break;case\"bottom_center\":k=(v.end+v.start)/2-x/2,N=w.end-m-u;break;case\"bottom_left\":k=v.start+m,N=w.end-m-u;break;case\"center_left\":k=v.start+m,N=(w.end+w.start)/2-u/2;break;case\"center\":k=(v.end+v.start)/2-x/2,N=(w.end+w.start)/2-u/2;break;case\"center_right\":k=v.end-m-x,N=(w.end+w.start)/2-u/2}else if(d.isArray(y)&&2==y.length){const[t,e]=y;k=p.xview.compute(t),N=p.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:k,top:N,width:x,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const m of c){const c=o.x+a,g=o.y+i+this.title_height;let b,f;if([b,f]=r?[o.width-2*l,this.max_label_height]:[this.text_widths[m]+s+h,this.max_label_height],new _.BBox({left:c,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths[m]+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.plot_view.canvas_view,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,_=l;const r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),m=d.get_field_from_label_prop();if(0==c.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return o.every(d.renderers,t=>t.visible);case\"mute\":return o.every(d.renderers,t=>!t.muted)}})();for(const o of c){const c=e.x+a,b=e.y+_+this.title_height,f=c+i,u=b+s;r?_+=this.max_label_height+n:a+=this.text_widths[o]+i+h+n,this.visuals.label_text.set_value(t),t.fillText(o,f+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views[e.id].draw_legend(t,c,f,b,u,m,o,d.index)}if(!g){let s,n;[s,n]=r?[e.width-2*l,this.max_label_height]:[this.text_widths[o]+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=m,m.__name__=\"LegendView\";class g extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new h.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=m,this.mixins([\"text:label_\",\"text:title_\",\"fill:inactive_\",\"line:border_\",\"fill:background_\"]),this.define({orientation:[n.Orientation,\"vertical\"],location:[n.Any,\"top_right\"],title:[n.String],title_standoff:[n.Number,5],label_standoff:[n.Number,5],glyph_height:[n.Number,20],glyph_width:[n.Number,20],label_height:[n.Number,20],label_width:[n.Number,20],margin:[n.Number,10],padding:[n.Number,10],spacing:[n.Number,3],items:[n.Array,[]],click_policy:[n.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"10pt\",label_text_baseline:\"middle\",title_text_font_size:\"10pt\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=g,g.__name__=\"Legend\",g.init_Legend()},\n", " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(69),i=e(74),s=e(137),_=t.__importStar(e(19)),o=e(70),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n", " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n", " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(29),l=t(14),o=n.__importStar(t(19));class a extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.plot_view.canvas_view;for(let s=0,l=t.length;sthis.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,a=(s.invert(l)-t)/e,_=(s.invert(o)-t)/e,r=n.compute(a),c=n.compute(_),{ctx:u}=this.plot_view.canvas_view;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(r,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=o,o.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=o,this.mixins([\"line\"]),this.define({gradient:[l.Number,null],y_intercept:[l.Number,null],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n", " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),o=e(29),n=e(66),l=s.__importStar(e(19));class a extends o.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),this.el.style.position=\"absolute\",n.undisplay(this.el)}connect_signals(){super.connect_signals(),this.model.for_hover?this.connect(this.model.properties.computed_location.change,()=>this._draw_span()):\"canvas\"==this.model.render_mode?(this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.properties.location.change,()=>this.plot_view.request_render())):(this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.location.change,()=>this._draw_span()))}render(){this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),this.model.visible&&this._draw_span()}_draw_span(){const e=this.model.for_hover?this.model.computed_location:this.model.location;if(null==e)return void n.undisplay(this.el);const{frame:i}=this.plot_view,t=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],o=(i,t)=>this.model.for_hover?this.model.computed_location:\"data\"==this.model.location_units?i.compute(e):t.compute(e);let l,a,h,d;if(\"width\"==this.model.dimension?(h=o(s,i.yview),a=i._left.value,d=i._width.value,l=this.model.properties.line_width.value()):(h=i._top.value,a=o(t,i.xview),d=this.model.properties.line_width.value(),l=i._height.value),\"css\"==this.model.render_mode)this.el.style.top=`${h}px`,this.el.style.left=`${a}px`,this.el.style.width=`${d}px`,this.el.style.height=`${l}px`,this.el.style.backgroundColor=this.model.properties.line_color.value(),this.el.style.opacity=this.model.properties.line_alpha.value(),n.display(this.el);else if(\"canvas\"==this.model.render_mode){const{ctx:e}=this.plot_view.canvas_view;e.save(),e.beginPath(),this.visuals.line.set_value(e),e.moveTo(a,h),\"width\"==this.model.dimension?e.lineTo(a+d,h):e.lineTo(a,h+l),e.stroke(),e.restore()}}}t.SpanView=a,a.__name__=\"SpanView\";class h extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=a,this.mixins([\"line\"]),this.define({render_mode:[l.RenderMode,\"canvas\"],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"],location:[l.Number,null],location_units:[l.SpatialUnits,\"data\"],dimension:[l.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[l.Boolean,!1],computed_location:[l.Number,null]})}}t.Span=h,h.__name__=\"Span\",h.init_Span()},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(133),s=e(66),n=e(68),o=l.__importStar(e(19));class r extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.plot_view.canvas_view.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.ctx);const{width:t,ascent:i}=this.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=r,r.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=r,this.mixins([\"line:border_\",\"fill:background_\"]),this.define({text:[o.String],text_font:[o.Font,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"10pt\"],text_font_style:[o.FontStyle,\"bold\"],text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_line_height:[o.Number,1],vertical_align:[o.VerticalAlign,\"bottom\"],align:[o.TextAlign,\"left\"],offset:[o.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[o.TextAlign,\"left\"],text_baseline:[o.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n", " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(29),s=e(96),a=e(66),n=o.__importStar(e(19));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n", " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(29),o=t(66),a=i.__importStar(t(19)),h=t(144),n=t(145);function c(t,e,s,i,l){switch(t){case\"horizontal\":return ethis._draw_tips())}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=`${a}px`,this.el.style.left=r?`${r}px`:\"auto\",this.el.style.right=d?`${d}px`:\"auto\"):o.undisplay(this.el)}}s.TooltipView=r,r.__name__=\"TooltipView\";class d extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=r,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=d,d.__name__=\"Tooltip\",d.init_Tooltip()},\n", " function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=o(1);o(67),r.__importStar(o(66)).styles.append('.bk-root {\\n /* Same border color used everywhere */\\n /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n font-weight: 300;\\n font-size: 12px;\\n position: absolute;\\n padding: 5px;\\n border: 1px solid #e5e5e5;\\n color: #2f2f2f;\\n background-color: white;\\n pointer-events: none;\\n opacity: 0.95;\\n z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n /* gives space when multiple elements are being hovered over */\\n margin-top: 5px;\\n border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n top: -10px;\\n border-bottom-width: 10px;\\n border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n bottom: -10px;\\n border-top-width: 10px;\\n border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n text-align: right;\\n color: #26aae1;\\n /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n color: default;\\n /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n width: 12px;\\n height: 12px;\\n margin-left: 5px;\\n margin-right: 5px;\\n outline: #dddddd solid 1px;\\n display: inline-block;\\n}\\n'),n.bk_tooltip=\"bk-tooltip\",n.bk_tooltip_arrow=\"bk-tooltip-arrow\",n.bk_tooltip_custom=\"bk-tooltip-custom\",n.bk_tooltip_row_label=\"bk-tooltip-row-label\",n.bk_tooltip_row_value=\"bk-tooltip-row-value\",n.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n", " function _(e,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__importStar(e(66)).styles.append(\"\"),t.bk_active=\"bk-active\",t.bk_inline=\"bk-inline\",t.bk_left=\"bk-left\",t.bk_right=\"bk-right\",t.bk_above=\"bk-above\",t.bk_below=\"bk-below\",t.bk_up=\"bk-up\",t.bk_down=\"bk-down\",t.bk_side=function(e){switch(e){case\"above\":return t.bk_above;case\"below\":return t.bk_below;case\"left\":return t.bk_left;case\"right\":return t.bk_right}}},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(29),o=e(73),a=e(72),n=i.__importStar(e(19));class h extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.plot_view.canvas_view;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;tnew a.TeeHead({level:\"underlay\",size:10})],upper:[n.DistanceSpec],upper_head:[n.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[n.DistanceSpec],dimension:[n.Dimension,\"height\"],source:[n.Instance,()=>new o.ColumnDataSource],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=_,_.__name__=\"Whisker\",_.init_Whisker()},\n", " function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(148);e.Axis=r.Axis;var s=i(150);e.CategoricalAxis=s.CategoricalAxis;var x=i(153);e.ContinuousAxis=x.ContinuousAxis;var A=i(154);e.DatetimeAxis=A.DatetimeAxis;var o=i(155);e.LinearAxis=o.LinearAxis;var t=i(168);e.LogAxis=t.LogAxis;var n=i(171);e.MercatorAxis=n.MercatorAxis},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(149),l=s.__importStar(e(19)),n=e(9),o=e(8),r=e(88),{abs:_,min:h,max:c}=Math;class m extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.plot_view.canvas_view.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;tc&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i_(n-o)?(e=c(h(a,l),n),s=h(c(a,l),o)):(e=h(a,l),s=c(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;ic||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(o.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof r.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=m,m.__name__=\"AxisView\";class d extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=m,this.mixins([\"line:axis_\",\"line:major_tick_\",\"line:minor_tick_\",\"text:major_label_\",\"text:axis_label_\"]),this.define({bounds:[l.Any,\"auto\"],ticker:[l.Instance],formatter:[l.Instance],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"],axis_label:[l.String,\"\"],axis_label_standoff:[l.Int,5],major_label_standoff:[l.Int,5],major_label_orientation:[l.Any,\"horizontal\"],major_label_overrides:[l.Any,{}],major_tick_in:[l.Number,2],major_tick_out:[l.Number,6],minor_tick_in:[l.Number,0],minor_tick_out:[l.Number,4],fixed_location:[l.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"8pt\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"10pt\",axis_label_text_font_style:\"italic\"})}}i.Axis=d,d.__name__=\"Axis\",d.init_Axis()},\n", " function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const n=e(63);class i extends n.RendererView{}d.GuideRendererView=i,i.__name__=\"GuideRendererView\";class t extends n.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"overlay\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n", " function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(148),r=t(151),a=t(152),l=e.__importStar(t(19));class _ extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;ti&&ht[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=_,_.__name__=\"CategoricalAxisView\";class n extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=_,this.mixins([\"line:separator_\",\"text:group_\",\"text:subgroup_\"]),this.define({group_label_orientation:[l.Any,\"parallel\"],subgroup_label_orientation:[l.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"8pt\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"8pt\"})}}o.CategoricalAxis=n,n.__name__=\"CategoricalAxis\",n.init_CategoricalAxis()},\n", " function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(111);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&tnew r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n", " function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(148),n=e(153),r=e(112),a=e(108);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n", " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(157)),n=t(113),o=t(70),a=r.__importStar(t(19)),c=t(158),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(`unable to format tick for timestamp value ${s}`),o.logger.warn(` - ${t}`),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=`0${s}`),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n", " function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o=T-g;--c)for(o=0,a=s.length;o=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 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supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n", " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(109),s=e(162),r=e(163),c=e(166),_=e(167),m=e(165);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n", " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(110),n=r.__importStar(t(19)),_=t(9),a=t(23);class c extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],c=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let l;if(a.isEmpty(c.filter(t=>!isNaN(t))))l=this.tickers[0];else{const t=n[_.argmin(c)];l=this.tickers[t]}return l}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=c,c.__name__=\"CompositeTicker\",c.init_CompositeTicker()},\n", " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(164),a=t(165),o=i.__importStar(t(19)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(110),l=n.__importStar(e(19));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n", " function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n", " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(164),s=t(165),a=r.__importStar(t(19)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n", " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(108),r=e(164),n=e(165);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new 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t=this.__closestGroupOrSvg().getAttribute(\"transform\"),e=this.__root.childNodes[1],r=e.childNodes,i=r.length-1;i>=0;i--)r[i]&&e.removeChild(r[i]);this.__currentElement=e,this.__groupStack=[],t&&this.__addTransform(t)},n.prototype.clearRect=function(t,e,r,i){if(0!==t||0!==e||r!==this.width||i!==this.height){var n,s=this.__closestGroupOrSvg();n=this.__createElement(\"rect\",{x:t,y:e,width:r,height:i,fill:\"#FFFFFF\"},!0),s.appendChild(n)}else this.__clearCanvas()},n.prototype.createLinearGradient=function(t,e,r,i){var n=this.__createElement(\"linearGradient\",{id:l(this.__ids),x1:t+\"px\",x2:r+\"px\",y1:e+\"px\",y2:i+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(n),new s(n,this)},n.prototype.createRadialGradient=function(t,e,r,i,n,a){var o=this.__createElement(\"radialGradient\",{id:l(this.__ids),cx:i+\"px\",cy:n+\"px\",r:a+\"px\",fx:t+\"px\",fy:e+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(o),new 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a=t+r*Math.cos(n),o=e+r*Math.sin(n),l=t+r*Math.cos(i),c=e+r*Math.sin(i),p=s?0:1,_=0,u=n-i;u<0&&(u+=2*Math.PI),_=s?u>Math.PI?0:1:u>Math.PI?1:0,this.lineTo(l,c),this.__addPathCommand(h(\"A {rx} {ry} {xAxisRotation} {largeArcFlag} {sweepFlag} {endX} {endY}\",{rx:r,ry:r,xAxisRotation:0,largeArcFlag:_,sweepFlag:p,endX:a,endY:o})),this.__currentPosition={x:a,y:o}}},n.prototype.clip=function(){var t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),r=l(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",r),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",h(\"url(#{id})\",{id:r})),t.appendChild(i),this.__currentElement=i},n.prototype.drawImage=function(){var t,e,r,i,s,a,o,h,l,c,p,_,u,d,g=Array.prototype.slice.call(arguments),m=g[0],f=0,y=0;if(3===g.length)t=g[1],e=g[2],r=s=m.width,i=a=m.height;else if(5===g.length)t=g[1],e=g[2],r=g[3],i=g[4],s=m.width,a=m.height;else{if(9!==g.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);f=g[1],y=g[2],s=g[3],a=g[4],t=g[5],e=g[6],r=g[7],i=g[8]}o=this.__closestGroupOrSvg(),this.__currentElement;var v=\"translate(\"+t+\", \"+e+\")\";if(m instanceof n){if((h=m.getSvg().cloneNode(!0)).childNodes&&h.childNodes.length>1){for(l=h.childNodes[0];l.childNodes.length;)d=l.childNodes[0].getAttribute(\"id\"),this.__ids[d]=d,this.__defs.appendChild(l.childNodes[0]);if(c=h.childNodes[1]){var b,x=c.getAttribute(\"transform\");b=x?x+\" 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r,i=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),s=l(this.__ids);return i.setAttribute(\"id\",s),i.setAttribute(\"width\",t.width),i.setAttribute(\"height\",t.height),\"CANVAS\"===t.nodeName||\"IMG\"===t.nodeName?((r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\")).setAttribute(\"width\",t.width),r.setAttribute(\"height\",t.height),r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",\"CANVAS\"===t.nodeName?t.toDataURL():t.getAttribute(\"src\")),i.appendChild(r),this.__defs.appendChild(i)):t instanceof n&&(i.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(i)),new a(i,this)},n.prototype.setLineDash=function(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null},n.prototype.drawFocusRing=function(){},n.prototype.createImageData=function(){},n.prototype.getImageData=function(){},n.prototype.putImageData=function(){},n.prototype.globalCompositeOperation=function(){},n.prototype.setTransform=function(){},r.default=n},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(184),_=e(120),n=e(129),r=e(130),i=e(185),g=e(88),c=e(187);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n", " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(121);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n", " function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(186),s=t(78),l=t(70),_=e.__importStar(t(19)),o=e.__importStar(t(85)),r=t(9);class d extends a.DataRange{constructor(t){super(t),this._plot_bounds={},this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for DataRange1d ${this.id}`);for(const t of i)l.logger.trace(` - ${t.type} ${t.id}`);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t)null==i[e.id]||!e.visible&&this.only_visible||(n=o.union(n,i[e.id]));return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds[n]=s;const[l,_]=this._compute_min_max(this._plot_bounds,i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[d,h]=[this.start,this.end];if(o!=d||r!=h){const t={};o!=d&&(t.start=o),r!=h&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=d,d.__name__=\"DataRange1d\",d.init_DataRange1d()},\n", " function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(89),s=n.__importStar(e(19));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n", " function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(188);t.Sizeable=e.Sizeable;var r=a(189);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(190);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(191);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(192);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n", " function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n", " function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(188),s=i(85),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n", " function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(189),r=t(85);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n", " function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(188),o=t(189),n=t(8),r=t(85),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n", " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(189),i=e(188),o=e(66);class r extends s.ContentLayoutable{constructor(e){super(),this.content_size=o.unsized(e,()=>new i.Sizeable(o.size(e)))}_content_size(){return this.content_size}}n.ContentBox=r,r.__name__=\"ContentBox\";class a extends s.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return o.sized(this.el,t,()=>{const e=new i.Sizeable(o.content_size(this.el)),{border:t,padding:n}=o.extents(this.el);return e.grow_by(t).grow_by(n).map(Math.ceil)})}}n.VariadicBox=a,a.__name__=\"VariadicBox\"},\n", " function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(194);u.Expression=a.Expression;var n=e(195);u.Stack=n.Stack;var o=e(196);u.CumSum=o.CumSum},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(69);class n extends s.Model{constructor(e){super(e),this._connected={},this._result={}}initialize(){super.initialize(),this._connected={},this._result={}}v_compute(e){null==this._connected[e.id]&&(this.connect(e.change,()=>delete this._result[e.id]),this.connect(e.patching,()=>delete this._result[e.id]),this.connect(e.streaming,()=>delete this._result[e.id]),this._connected[e.id]=!0);let t=this._result[e.id];return null==t&&(this._result[e.id]=t=this._v_compute(e)),t}}i.Expression=n,n.__name__=\"Expression\"},\n", " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(194),r=i.__importStar(t(19));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t0?a.every(o,s.isBoolean)?(o.length!==e.get_length()&&r.logger.warn(`BooleanFilter ${this.id}: length of booleans doesn't match data source`),a.range(0,o.length).filter(e=>!0===o[e])):(r.logger.warn(`BooleanFilter ${this.id}: booleans should be array of booleans, defaulting to no filtering`),null):(null!=o&&0==o.length?r.logger.warn(`BooleanFilter ${this.id}: booleans is empty, defaulting to no filtering`):r.logger.warn(`BooleanFilter ${this.id}: booleans was not set, defaulting to no filtering`),null)}}l.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n", " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),l=e(69),n=i.__importStar(e(19)),o=e(8),s=e(9),a=e(70);class f extends l.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[n.Array,null]})}compute_indices(e){const t=this.filter;return null!=t&&t.length>=0?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(`Filter ${this.id}: filter should either be array of only booleans or only integers, defaulting to no filtering`),null):(a.logger.warn(`Filter ${this.id}: filter was not set to be an array, defaulting to no filtering`),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n", " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(199),n=i.__importStar(t(19)),u=t(23),c=t(25);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n", " function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(199),o=e.__importStar(t(19)),u=t(70),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n", " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(199),s=t.__importStar(e(19)),l=e(70),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices&&this.indices.length>=0?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(`IndexFilter ${this.id}: indices should be array of integers, defaulting to no filtering`),null):(l.logger.warn(`IndexFilter ${this.id}: indices was not set, defaulting to no filtering`),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n", " function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(112);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(152);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(156);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(204);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(169);a.LogTickFormatter=m.LogTickFormatter;var F=r(172);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(205);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(206);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(113);a.TickFormatter=v.TickFormatter},\n", " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(113),i=r.__importStar(t(19)),c=t(23),a=t(25);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n", " function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(159)),a=r(113),i=e.__importStar(r(19));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n", " function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(113),o=t(158),a=e.__importStar(t(19));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n", " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(208);r.AnnularWedge=v.AnnularWedge;var l=a(209);r.Annulus=l.Annulus;var t=a(210);r.Arc=t.Arc;var i=a(211);r.Bezier=i.Bezier;var n=a(212);r.Circle=n.Circle;var u=a(213);r.CenterRotatable=u.CenterRotatable;var c=a(214);r.Ellipse=c.Ellipse;var g=a(215);r.EllipseOval=g.EllipseOval;var A=a(86);r.Glyph=A.Glyph;var p=a(92);r.HArea=p.HArea;var s=a(216);r.HBar=s.HBar;var d=a(218);r.HexTile=d.HexTile;var R=a(219);r.Image=R.Image;var o=a(221);r.ImageRGBA=o.ImageRGBA;var y=a(222);r.ImageURL=y.ImageURL;var h=a(80);r.Line=h.Line;var m=a(224);r.MultiLine=m.MultiLine;var B=a(225);r.MultiPolygons=B.MultiPolygons;var P=a(226);r.Oval=P.Oval;var G=a(91);r.Patch=G.Patch;var H=a(227);r.Patches=H.Patches;var I=a(228);r.Quad=I.Quad;var L=a(229);r.Quadratic=L.Quadratic;var M=a(230);r.Ray=M.Ray;var O=a(231);r.Rect=O.Rect;var x=a(232);r.Segment=x.Segment;var C=a(233);r.Step=C.Step;var E=a(234);r.Text=E.Text;var Q=a(94);r.VArea=Q.VArea;var S=a(235);r.VBar=S.VBar;var T=a(236);r.Wedge=T.Wedge;var V=a(81);r.XYGlyph=V.XYGlyph},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(81),n=e(90),a=i.__importStar(e(87)),_=i.__importStar(e(19)),o=e(10);class h extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e=s&&l.push([e,h])}const d=this.model.properties.direction.value(),c=[];for(const[e,i]of l){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],d)&&c.push([e,i])}return a.create_hit_test_result_from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=h,h.__name__=\"AnnularWedgeView\";class u extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=h,this.mixins([\"line\",\"fill\"]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=u,u.__name__=\"AnnularWedge\",u.init_AnnularWedge()},\n", " function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=s(1),r=s(81),a=e.__importStar(s(87)),n=e.__importStar(s(19)),_=s(101);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,t,{sx:i,sy:e,sinner_radius:r,souter_radius:a}){for(const n of t)if(!isNaN(i[n]+e[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const t of[!1,!0])s.arc(i[n],e[n],r[n],0,Math.PI,t),s.arc(i[n],e[n],a[n],Math.PI,0,!t);else s.arc(i[n],e[n],r[n],0,2*Math.PI,!0),s.arc(i[n],e[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(i[n],e[n],r[n],0,2*Math.PI),s.moveTo(i[n]+a[n],e[n]),s.arc(i[n],e[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:t,sy:i}=s,e=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(i);let n,_,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=e-this.max_outer_radius,u=e+this.max_outer_radius,_=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=t-this.max_outer_radius,e=t+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,e);const r=i-this.max_outer_radius,a=i+this.max_outer_radius;[_,o]=this.renderer.yscale.r_invert(r,a)}const h=[];for(const s of this.index.indices({x0:n,x1:u,y0:_,y1:o})){const t=Math.pow(this.souter_radius[s],2),i=Math.pow(this.sinner_radius[s],2),[a,n]=this.renderer.xscale.r_compute(e,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=Math.pow(a-n,2)+Math.pow(_-u,2);o<=t&&o>=i&&h.push([s,o])}return a.create_hit_test_result_from_hits(h)}draw_legend_for_index(s,{x0:t,y0:i,x1:e,y1:r},a){const n=a+1,_=new Array(n);_[a]=(t+e)/2;const u=new Array(n);u[a]=(i+r)/2;const o=.5*Math.min(Math.abs(e-t),Math.abs(r-i)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}i.AnnulusView=u,u.__name__=\"AnnulusView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=u,this.mixins([\"line\",\"fill\"]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}i.Annulus=o,o.__name__=\"Annulus\",o.init_Annulus()},\n", " function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(81),n=e(90),a=t.__importStar(e(19));class _ extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=_,_.__name__=\"ArcView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=_,this.mixins([\"line\"]),this.define({direction:[a.Direction,\"anticlock\"],radius:[a.DistanceSpec],start_angle:[a.AngleSpec],end_angle:[a.AngleSpec]})}}s.Arc=c,c.__name__=\"Arc\",c.init_Arc()},\n", " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(82),n=t(86),c=t(90);function o(t,e,i,s,n,c,o,h){const r=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*h,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=d.map(s,(s,e)=>Math.min(s,i[e]));break}}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=d.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let n,h,d,_;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius,h=t+this.max_radius,d=r-this.max_radius,_=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,a=e+this.max_size;[d,_]=this.renderer.yscale.r_invert(r,a)}const l=this.index.indices({x0:n,x1:h,y0:d,y1:_}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of l){const i=Math.pow(this.sradius[s],2),[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=Math.pow(e-a,2)+Math.pow(n-h,2);d<=i&&c.push([s,d])}else for(const s of l){const t=Math.pow(this.sradius[s],2),r=Math.pow(this.sx[s]-i,2)+Math.pow(this.sy[s]-e,2);r<=t&&c.push([s,r])}return a.create_hit_test_result_from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds(),r=a.create_empty_hit_test_result();let n,h,d,_;if(\"h\"==s.direction){let s,e;if(d=t.y0,_=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[n,h]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[n,h]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(n=t.x0,h=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[d,_]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[d,_]=this.renderer.yscale.r_invert(s,i)}}const l=this.index.indices({x0:n,x1:h,y0:d,y1:_});return r.indices=l,r}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[n,h]=this.renderer.xscale.r_invert(i,e),[d,_]=this.renderer.yscale.r_invert(t,r),l=a.create_empty_hit_test_result();return l.indices=this.index.indices({x0:n,x1:h,y0:d,y1:_}),l}_hit_poly(s){const{sx:i,sy:e}=s,t=h.range(0,this.sx.length),r=[];for(let s=0,n=t.length;s1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.EllipseOvalView=a,a.__name__=\"EllipseOvalView\";class _ extends h.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=_,_.__name__=\"EllipseOval\"},\n", " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(217),r=i.__importStar(t(19));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s{t.beginPath(),t.rect(s[h],r[h],i[h]-s[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(s[h],r[h],i[h]-s[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,s=this.stop.length;for(let i=0;ithis._update_image()),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_update_image(){null!=this.image_data&&(this._set_data(),this.renderer.plot_view.request_render())}_set_data(){this._set_width_heigh_data();const e=this.model.color_mapper.rgba_mapper;for(let t=0,a=this._image.length;t0){a=this._image[t];const e=this._image_shape[t];this._height[t]=e[0],this._width[t]=e[1]}else{const e=this._image[t];a=h.concat(e),this._height[t]=e.length,this._width[t]=e[0].length}const i=e.v_compute(a);this._set_image_data_from_buffer(t,i)}}_render(e,t,{image_data:a,sx:i,sy:s,sw:_,sh:n}){const h=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const h of t){if(null==a[h])continue;if(isNaN(i[h]+s[h]+_[h]+n[h]))continue;const t=s[h];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(a[h],0|i[h],0|s[h],_[h],n[h]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(h)}}a.ImageView=o,o.__name__=\"ImageView\";class l extends s.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=o,this.define({color_mapper:[n.Instance,()=>new _.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=l,l.__name__=\"Image\",l.init_Image()},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),h=e(81),a=s.__importStar(e(19)),_=s.__importStar(e(87)),r=e(82);class n extends h.XYGlyphView{_render(e,t,i){}_index_data(){const e=[];for(let t=0,i=this._x.length;tthis.renderer.request_render())}_set_data(e){this._set_width_heigh_data();for(let t=0,a=this._image.length;t0){a=this._image[t].buffer;const e=this._image_shape[t];this._height[t]=e[0],this._width[t]=e[1]}else{const e=this._image[t],i=s.concat(e);a=new ArrayBuffer(4*i.length);const n=new Uint32Array(a);for(let e=0,t=i.length;ethis.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;eNaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n", " function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(70);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n", " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(82),r=i.__importStar(t(87)),l=t(23),o=t(9),_=t(8),h=t(86),c=t(90);class a extends h.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;eparseInt(t,10)),e.multiline_indices=n,e}_hit_span(t){const{sx:e,sy:s}=t,i=r.create_empty_hit_test_result();let n,o;\"v\"===t.direction?(n=this.renderer.yscale.invert(s),o=this._ys):(n=this.renderer.xscale.invert(e),o=this._xs);const _={};for(let t=0,e=o.length;t0&&(_[t]=e)}return i.indices=l.keys(_).map(t=>parseInt(t,10)),i.multiline_indices=_,i}get_interpolation_hit(t,e,s){const[i,n,r,l]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,r,l)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=a,a.__name__=\"MultiLineView\";class x extends h.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=a,this.coords([[\"xs\",\"ys\"]]),this.mixins([\"line\"])}}s.MultiLine=x,x.__name__=\"MultiLine\",x.init_MultiLine()},\n", " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(82),r=t(86),l=t(90),o=t(9),h=t(12),_=i.__importStar(t(87)),a=t(8),c=t(11);class d extends r.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e1)for(let i=1,n=this._xs[e][s].length;it-e).filter((t,e,s)=>0===e||t!==s[e-1])}_inner_loop(t,e,s){t.beginPath();for(let i=0,n=e.length;i{this._inner_loop(t,e,r),t.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,n),this._inner_loop(t,e,r),t.stroke())}}_hit_rect(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,r=[e,s,s,e],l=[i,i,n,n],[o,h]=this.renderer.xscale.r_invert(e,s),[a,c]=this.renderer.yscale.r_invert(i,n),d=this.index.indices({x0:o,x1:h,y0:a,y1:c}),x=[];for(let t=0,e=d.length;t1){let l=!1;for(let i=1;i0;){const s=_.find_last_index(i,s=>h.isStrictNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!h.isStrictNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;is-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;nthis._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[_,l]=this.renderer.xscale.r_invert(t,e),[h,a]=this.renderer.yscale.r_invert(i,n),d=this.index.indices({x0:_,x1:l,y0:h,y1:a}),u=[];for(let s=0,t=d.length;s=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&m.push(t)}const f=r.create_empty_hit_test_result();return f.indices=m,f}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=l,l.__name__=\"StepView\";class a extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=l,this.mixins([\"line\"]),this.define({mode:[r.StepMode,\"before\"]})}}i.Step=a,a.__name__=\"Step\",a.init_Step()},\n", " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),_=t(81),n=i.__importStar(t(87)),o=i.__importStar(t(19)),h=t(131);class r extends _.XYGlyphView{_rotate_point(t,s,e,i,_){return[(t-e)*Math.cos(_)-(s-i)*Math.sin(_)+e,(t-e)*Math.sin(_)+(s-i)*Math.cos(_)+i]}_text_bounds(t,s,e,i){return[[t,t+e,t+e,t,t],[s,s,s-i,s-i,s]]}_render(t,s,{sx:e,sy:i,_x_offset:_,_y_offset:n,_angle:o,_text:r}){this._sys=[],this._sxs=[];for(const l of s)if(!isNaN(e[l]+i[l]+_[l]+n[l]+o[l])&&null!=r[l]&&(this._sxs[l]=[],this._sys[l]=[],this.visuals.text.doit)){const s=`${r[l]}`;t.save(),t.translate(e[l]+_[l],i[l]+n[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:x}=h.measure_font(a),c=this.visuals.text.text_line_height.value()*x;if(-1==s.indexOf(\"\\n\")){t.fillText(s,0,0);const o=e[l]+_[l],h=i[l]+n[l],r=t.measureText(s).width,[a,x]=this._text_bounds(o,h,r,c);this._sxs[l].push(a),this._sys[l].push(x)}else{const o=s.split(\"\\n\"),h=c*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+c/2;break;case\"bottom\":a=-h+c;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const s of o){t.fillText(s,0,a);const o=e[l]+_[l],h=a+i[l]+n[l],r=t.measureText(s).width,[x,u]=this._text_bounds(o,h,r,c);this._sxs[l].push(x),this._sys[l].push(u),a+=c}}t.restore()}}_hit_point(t){const{sx:s,sy:e}=t,i=[];for(let t=0;tthis.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;it[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],l=this.model.get_ticker();if(null==l)return a;const d=l.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(d[0]!=h&&d.splice(0,0,h),d[d.length-1]!=m&&d.push(m));for(let e=0;ethis.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n", " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=i(1),o=i(69),l=i(66),n=i(70),h=i(8),a=s.__importStar(i(19)),_=i(96),r=i(64),d=i(67);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views={}}async lazy_initialize(){await this.build_child_views()}remove(){for(const i of this.child_views)i.remove();this._child_views={},super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const i=this.el.offsetParent;this._offset_parent!=i&&(this._offset_parent=i,null!=i&&(this.compute_viewport(),this.invalidate_layout()))},250));const i=this.model.properties;this.on_change([i.width,i.height,i.min_width,i.min_height,i.max_width,i.max_height,i.margin,i.width_policy,i.height_policy,i.sizing_mode,i.aspect_ratio,i.visible],()=>this.invalidate_layout()),this.on_change([i.background,i.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(i=>this._child_views[i.id])}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:i}=this.model;this.el.style.backgroundColor=null!=i?i:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const i of this.child_views)this.el.appendChild(i.el),i.render()}update_layout(){for(const i of this.child_views)i.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const i=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,i);for(const i of this.child_views)i.update_position()}after_layout(){for(const i of this.child_views)i.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(i){i.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const i=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-i} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const i of this.child_views)if(!i.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:i,height_policy:t,aspect_ratio:e}=this.model;\"auto\"==i&&(i=this._width_policy()),\"auto\"==t&&(t=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)i=t=\"fixed\";else if(\"stretch_both\"==s)i=t=\"max\";else if(\"stretch_width\"==s)i=\"max\";else if(\"stretch_height\"==s)t=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":i=\"max\",t=\"min\";break;case\"scale_height\":i=\"min\",t=\"max\";break;case\"scale_both\":i=\"max\",t=\"max\"}const o={width_policy:i,height_policy:t},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[i,t]=u;o.margin={top:i,right:t,bottom:i,left:t}}else{const[i,t,e,s]=u;o.margin={top:i,right:t,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let i=this.el;for(;i=i.parentElement;){if(i.classList.contains(d.bk_root))continue;if(i==document.body){const{margin:{left:i,right:t,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-i-t),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:t,right:e,top:s,bottom:o}}=l.extents(i),{width:n,height:h}=i.getBoundingClientRect(),a=Math.ceil(n-t-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(i=>i.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(i){super(i)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n", " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(243),n=t(191),l=s.__importStar(t(19));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n", " function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(244),n=t(191),l=o.__importStar(t(19));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views[t.id];this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n", " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(244),_=e(187);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n", " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(243),_=t(191),a=s.__importStar(t(19));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n", " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(244),s=e(187);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(187),l=e(66),h=e(9),o=i.__importStar(e(19)),c=e(244),d=e(69),n=e(145),r=e(251),_=e(252),b=e(253);class p extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},n=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...n]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=`${e-s.width}px`,l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=`${e-s.height}px`,l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[r.bk_tab,s==e?n.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:r.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[r.bk_headers]},i),this.wrapper_el=l.div({class:r.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,n.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,n.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=`${e}px`}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=`${e}px`}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[r.bk_tabs_header,n.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(n.bk_active);t[e].classList.add(n.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=p,p.__name__=\"TabsView\";class u extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=p,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=u,u.__name__=\"Tabs\",u.init_Tabs();class m extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=m,m.__name__=\"Panel\",m.init_Panel()},\n", " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const b=e(1);e(67),b.__importStar(e(66)).styles.append('.bk-root .bk-tabs-header {\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n overflow: hidden;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n height: auto;\\n margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n flex-grow: 0;\\n -webkit-flex-grow: 0;\\n height: auto;\\n padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n overflow: hidden;\\n color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n position: relative;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n padding: 4px 8px;\\n border: solid transparent;\\n white-space: nowrap;\\n cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n color: #4d4d4d;\\n background-color: white;\\n border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n border-width: 3px 1px 0px 1px;\\n border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n border-width: 1px 3px 1px 0px;\\n border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n border-width: 0px 1px 3px 1px;\\n border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n border-width: 1px 0px 1px 3px;\\n border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n display: inline-block;\\n width: 10px;\\n height: 10px;\\n vertical-align: middle;\\n background-image: url(\\'data:image/svg+xml;utf8,\\\\\\n \\\\\\n \\\\\\n \\\\\\n \\');\\n}\\n.bk-root .bk-close:hover {\\n background-image: url(\\'data:image/svg+xml;utf8,\\\\\\n \\\\\\n \\\\\\n \\\\\\n \\');\\n}\\n'),n.bk_tabs_header=\"bk-tabs-header\",n.bk_headers_wrapper=\"bk-headers-wrapper\",n.bk_headers=\"bk-headers\",n.bk_tab=\"bk-tab\",n.bk_close=\"bk-close\"},\n", " function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});const r=n(1);n(67),r.__importStar(n(66)).styles.append(\".bk-root .bk-btn {\\n height: 100%;\\n display: inline-block;\\n text-align: center;\\n vertical-align: middle;\\n white-space: nowrap;\\n cursor: pointer;\\n padding: 6px 12px;\\n font-size: 12px;\\n border: 1px solid transparent;\\n border-radius: 4px;\\n outline: 0;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n background-image: none;\\n box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n cursor: not-allowed;\\n pointer-events: none;\\n opacity: 0.65;\\n box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n color: #333;\\n background-color: #fff;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n background-color: #f5f5f5;\\n border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n background-color: #ebebeb;\\n border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n background-color: #e6e6e6;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n color: #fff;\\n background-color: #428bca;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n background-color: #3681c1;\\n border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n background-color: #3276b1;\\n border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n background-color: #506f89;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n color: #fff;\\n background-color: #5cb85c;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n background-color: #4eb24e;\\n border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n background-color: #47a447;\\n border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n background-color: #667b66;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n color: #fff;\\n background-color: #f0ad4e;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n background-color: #eea43b;\\n border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n background-color: #ed9c28;\\n border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n background-color: #c89143;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n color: #fff;\\n background-color: #d9534f;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n background-color: #d5433e;\\n border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n background-color: #d2322d;\\n border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n background-color: #a55350;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n height: 100%;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n border-bottom-right-radius: 0;\\n border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n border-bottom-left-radius: 0;\\n border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n flex: 0 0 0;\\n -webkit-flex: 0 0 0;\\n padding: 6px 6px;\\n}\\n\"),b.bk_btn=\"bk-btn\",b.bk_btn_group=\"bk-btn-group\",b.bk_btn_default=\"bk-btn-default\",b.bk_btn_primary=\"bk-btn-primary\",b.bk_btn_success=\"bk-btn-success\",b.bk_btn_warning=\"bk-btn-warning\",b.bk_btn_danger=\"bk-btn-danger\",b.bk_btn_type=function(n){switch(n){case\"default\":return b.bk_btn_default;case\"primary\":return b.bk_btn_primary;case\"success\":return b.bk_btn_success;case\"warning\":return b.bk_btn_warning;case\"danger\":return b.bk_btn_danger}},b.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n", " function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const b=n(1);n(67),b.__importStar(n(66)).styles.append(\".bk-root .bk-menu {\\n position: absolute;\\n left: 0;\\n width: 100%;\\n z-index: 100;\\n cursor: pointer;\\n font-size: 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n height: 1px;\\n margin: 7.5px 0;\\n overflow: hidden;\\n background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n display: inline-block;\\n vertical-align: middle;\\n width: 0;\\n height: 0;\\n margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n border-right: 4px solid transparent;\\n border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n border-top: 4px solid transparent;\\n border-bottom: 4px solid transparent;\\n}\\n\"),r.bk_menu=\"bk-menu\",r.bk_caret=\"bk-caret\",r.bk_divider=\"bk-divider\"},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(245);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n", " function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(256);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(258);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(259);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(115);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(116);o.ColorMapper=M.ColorMapper;var t=r(114);o.LinearColorMapper=t.LinearColorMapper;var i=r(260);o.LogColorMapper=i.LogColorMapper},\n", " function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(257),c=r(116),i=o.__importStar(r(19));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n", " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;tu(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n", " function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(257),i=r(117),c=t.__importStar(r(19));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n", " function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(257),s=t(117),i=r.__importStar(t(19));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n", " function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(115),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;tu){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(eg&&(_=g),l[t]=n[_]}}}n.LogColorMapper=i,i.__name__=\"LogColorMapper\"},\n", " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__exportStar(e(262),t);var a=e(263);t.Marker=a.Marker;var _=e(264);t.Scatter=_.Scatter},\n", " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(263),s=Math.sqrt(3);function r(e,t){e.moveTo(-t,t),e.lineTo(t,-t),e.moveTo(-t,-t),e.lineTo(t,t)}function n(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function c(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function l(e,t){const o=t*s,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function a(e,t,o,i,s){const c=.65*o;n(e,o),r(e,c),i.doit&&(i.set_vectorize(e,t),e.stroke())}function d(e,t,o,i,s){e.arc(0,0,o,0,2*Math.PI,!1),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function _(e,t,o,i,s){e.arc(0,0,o,0,2*Math.PI,!1),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),r(e,o),e.stroke())}function v(e,t,o,i,s){n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function f(e,t,o,i,s){c(e,o),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function u(e,t,o,i,s){c(e,o),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function T(e,t,o,i,r){!function(e,t){const o=t/2,i=s*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function z(e,t,o,i,s){e.rotate(Math.PI),l(e,o),e.rotate(-Math.PI),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function k(e,t,o,i,s){const r=2*o;e.rect(-o,-o,r,r),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function m(e,t,o,i,s){const r=2*o;e.rect(-o,-o,r,r),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function C(e,t,o,i,s){const n=2*o;e.rect(-o,-o,n,n),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),r(e,o),e.stroke())}function h(e,t,o,i,s){l(e,o),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function q(e,t,o,i,s){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t,o,i,s){r(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function P(e,t){var o;const s=class extends i.MarkerView{static initClass(){this.prototype._render_one=t}};s.initClass();const r=((o=class extends i.Marker{static initClass(){this.prototype.default_view=s}}).__name__=e,o);return r.initClass(),r}o.Asterisk=P(\"Asterisk\",a),o.CircleCross=P(\"CircleCross\",d),o.CircleX=P(\"CircleX\",_),o.Cross=P(\"Cross\",v),o.Dash=P(\"Dash\",q),o.Diamond=P(\"Diamond\",f),o.DiamondCross=P(\"DiamondCross\",u),o.Hex=P(\"Hex\",T),o.InvertedTriangle=P(\"InvertedTriangle\",z),o.Square=P(\"Square\",k),o.SquareCross=P(\"SquareCross\",m),o.SquareX=P(\"SquareX\",C),o.Triangle=P(\"Triangle\",h),o.X=P(\"X\",M),o.marker_funcs={asterisk:a,circle:function(e,t,o,i,s){e.arc(0,0,o,0,2*Math.PI,!1),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())},circle_cross:d,circle_x:_,cross:v,diamond:f,diamond_cross:u,hex:T,inverted_triangle:z,square:k,square_cross:m,square_x:C,triangle:h,dash:q,x:M}},\n", " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(81),n=i.__importStar(e(87)),a=i.__importStar(e(19)),_=e(9);class h extends r.XYGlyphView{_render(e,s,{sx:t,sy:i,_size:r,_angle:n}){for(const a of s){if(isNaN(t[a]+i[a]+r[a]+n[a]))continue;const s=r[a]/2;e.beginPath(),e.translate(t[a],i[a]),n[a]&&e.rotate(n[a]),this._render_one(e,a,s,this.visuals.line,this.visuals.fill),n[a]&&e.rotate(-n[a]),e.translate(-t[a],-i[a])}}_mask_data(){const e=this.renderer.plot_view.frame.bbox.h_range,s=e.start-this.max_size,t=e.end+this.max_size,[i,r]=this.renderer.xscale.r_invert(s,t),n=this.renderer.plot_view.frame.bbox.v_range,a=n.start-this.max_size,_=n.end+this.max_size,[h,c]=this.renderer.yscale.r_invert(a,_);return this.index.indices({x0:i,x1:r,y0:h,y1:c})}_hit_point(e){const{sx:s,sy:t}=e,i=s-this.max_size,r=s+this.max_size,[a,_]=this.renderer.xscale.r_invert(i,r),h=t-this.max_size,c=t+this.max_size,[o,x]=this.renderer.yscale.r_invert(h,c),l=this.index.indices({x0:a,x1:_,y0:o,y1:x}),y=[];for(const e of l){const i=this._size[e]/2,r=Math.abs(this.sx[e]-s)+Math.abs(this.sy[e]-t);Math.abs(this.sx[e]-s)<=i&&Math.abs(this.sy[e]-t)<=i&&y.push([e,r])}return n.create_hit_test_result_from_hits(y)}_hit_span(e){const{sx:s,sy:t}=e,i=this.bounds(),r=this.max_size/2,a=n.create_empty_hit_test_result();let _,h,c,o;if(\"h\"==e.direction){c=i.y0,o=i.y1;const e=s-r,t=s+r;[_,h]=this.renderer.xscale.r_invert(e,t)}else{_=i.x0,h=i.x1;const e=t-r,s=t+r;[c,o]=this.renderer.yscale.r_invert(e,s)}const x=this.index.indices({x0:_,x1:h,y0:c,y1:o});return a.indices=x,a}_hit_rect(e){const{sx0:s,sx1:t,sy0:i,sy1:r}=e,[a,_]=this.renderer.xscale.r_invert(s,t),[h,c]=this.renderer.yscale.r_invert(i,r),o=n.create_empty_hit_test_result();return o.indices=this.index.indices({x0:a,x1:_,y0:h,y1:c}),o}_hit_poly(e){const{sx:s,sy:t}=e,i=_.range(0,this.sx.length),r=[];for(let e=0,a=i.length;enew r.Range1d,y_range:()=>new r.Range1d})}initialize(){super.initialize(),this.use_map=!0,this.api_key||n.logger.error(\"api_key is required. See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n", " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1).__importStar(e(19)),o=e(14),i=e(9),a=e(23),l=e(8),s=e(244),_=e(141),h=e(119),c=e(268),u=e(73),d=e(78),b=e(185),g=e(280);r.PlotView=g.PlotView;class m extends s.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=g.PlotView,this.mixins([\"line:outline_\",\"fill:background_\",\"fill:border_\"]),this.define({toolbar:[n.Instance,()=>new c.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new _.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new b.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new b.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new h.LinearScale],y_scale:[n.Instance,()=>new h.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.getv(\"width\");return null!=e?e:this.plot_width}get height(){const e=this.getv(\"height\");return null!=e?e:this.plot_height}_doc_attached(){super._doc_attached(),this._tell_document_about_change(\"inner_height\",null,this.inner_height,{}),this._tell_document_about_change(\"inner_width\",null,this.inner_width,{})}initialize(){super.initialize(),this.reset=new o.Signal0(this,\"reset\");for(const e of a.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;l.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of a.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;l.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){this.getv(t).push(e)}remove_layout(e){const t=t=>{i.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new u.ColumnDataSource,r={}){const n=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new d.GlyphRenderer(n);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return this.side_panels.concat(this.center)}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return i.concat([e,t,r,n])}}r.Plot=m,m.__name__=\"Plot\",m.init_Plot()},\n", " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(19)),c=t(8),o=t(9),n=t(269),a=t(274),l=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},r=t=>\"tap\"==t||\"pan\"==t;class _ extends a.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals(),this.connect(this.properties.tools.change,()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,this._active_change.bind(this,t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n", " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(270),i=e(273),_=n.__importStar(e(19));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n", " function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=t(64),n=t(271),l=t(66),c=i.__importStar(t(19)),a=t(25),r=t(8),_=t(272);class u extends s.DOMView{initialize(){super.initialize(),this.connect(this.model.change,()=>this.render()),this.el.addEventListener(\"click\",()=>this._clicked()),this.render()}css_classes(){return super.css_classes().concat(_.bk_toolbar_button)}render(){l.empty(this.el);const t=this.model.computed_icon;r.isString(t)&&(a.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip}}o.ButtonToolButtonView=u,u.__name__=\"ButtonToolButtonView\";class d extends n.ToolView{}o.ButtonToolView=d,d.__name__=\"ButtonToolView\";class h extends n.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[c.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}}o.ButtonTool=h,h.__name__=\"ButtonTool\",h.init_ButtonTool()},\n", " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(19)),o=t(65),s=t(9),a=t(69);class r extends o.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return`${t} (x-axis)`;case\"height\":return`${t} (y-axis)`;case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n", " function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=o(1);o(67),n.__importStar(o(66)).styles.append('.bk-root .bk-toolbar-hidden {\\n visibility: hidden;\\n opacity: 0;\\n transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n flex-shrink: 0;\\n -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n justify-content: flex-end;\\n -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n order: 1;\\n -webkit-order: 1;\\n margin-left: 5px;\\n margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n justify-content: flex-start;\\n -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n order: 0;\\n -webkit-order: 0;\\n margin-bottom: 5px;\\n margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n width: 30px;\\n height: 30px;\\n background-size: 60%;\\n background-color: transparent;\\n background-repeat: no-repeat;\\n background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n background-color: #f9f9f9;\\n}\\n.bk-root .bk-toolbar-button:focus {\\n outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n content: \" \";\\n display: inline-block;\\n background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n height: 10px;\\n width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n height: 1px;\\n width: 10px;\\n}\\n'),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(270),n=e(145);class o extends s.ButtonToolButtonView{render(){super.render(),this.model.active?this.el.classList.add(n.bk_active):this.el.classList.remove(n.bk_active)}_clicked(){const e=this.model.active;this.model.active=!e}}i.OnOffButtonView=o,o.__name__=\"OnOffButtonView\"},\n", " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(70),l=t(66),n=t(96),a=i.__importStar(t(19)),r=t(64),_=t(9),c=t(15),h=t(8),u=t(69),d=t(275),v=t(276),b=t(277),p=t(269),g=t(272),m=t(279),f=t(145);class w extends u.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=w,w.__name__=\"ToolbarViewModel\",w.init_ToolbarViewModel();class y extends r.DOMView{initialize(){super.initialize(),this._tool_button_views={},this._toolbar_view_model=new w({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=g.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(g.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?m.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[m.bk_logo,m.bk_logo_small,t]});this.el.appendChild(o)}const t=[],o=t=>this._tool_button_views[t.id].el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:g.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function T(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=y,y.__name__=\"ToolbarBaseView\";class k extends u.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=y,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,T],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new c.Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof p.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof b.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o.type} (${o.id})`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof d.GestureTool&&t.event_type)if(h.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=h.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e.type} (${e.id}) for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t.type} (${t.id}) for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=k,k.__name__=\"ToolbarBase\",k.init_ToolbarBase()},\n", " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(270),n=e(273);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n", " function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(270),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n", " function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(276),s=i.__importStar(o(19)),n=o(278);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n", " function _(A,g,o){Object.defineProperty(o,\"__esModule\",{value:!0});const C=A(1);A(67),C.__importStar(A(66)).styles.append('.bk-root .bk-tool-icon-box-select {\\n background-image: 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background-image: 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.bk-tool-icon-zoom-out {\\n background-image: 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url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-poly-edit {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n'),o.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",o.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",o.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",o.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",o.bk_tool_icon_help=\"bk-tool-icon-help\",o.bk_tool_icon_hover=\"bk-tool-icon-hover\",o.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",o.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",o.bk_tool_icon_pan=\"bk-tool-icon-pan\",o.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",o.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",o.bk_tool_icon_range=\"bk-tool-icon-range\",o.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",o.bk_tool_icon_redo=\"bk-tool-icon-redo\",o.bk_tool_icon_reset=\"bk-tool-icon-reset\",o.bk_tool_icon_save=\"bk-tool-icon-save\",o.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",o.bk_tool_icon_undo=\"bk-tool-icon-undo\",o.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",o.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",o.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",o.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",o.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",o.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",o.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\"},\n", " function _(o,l,g){Object.defineProperty(g,\"__esModule\",{value:!0});const n=o(1);o(67),n.__importStar(o(66)).styles.append(\".bk-root .bk-logo {\\n margin: 5px;\\n position: relative;\\n display: block;\\n background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n filter: url(\\\"data:image/svg+xml;utf8,#grayscale\\\");\\n /* Firefox 10+, Firefox on Android */\\n filter: gray;\\n /* IE6-9 */\\n -webkit-filter: grayscale(100%);\\n /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n width: 20px;\\n height: 20px;\\n background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n display: inline-block;\\n vertical-align: middle;\\n margin-right: 5px;\\n}\\n\"),g.bk_logo=\"bk-logo\",g.bk_logo_notebook=\"bk-logo-notebook\",g.bk_logo_small=\"bk-logo-small\",g.bk_grey=\"bk-grey\"},\n", " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});var s=this&&this.__rest||function(t,e){var i={};for(var s in t)Object.prototype.hasOwnProperty.call(t,s)&&e.indexOf(s)<0&&(i[s]=t[s]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var n=0;for(s=Object.getOwnPropertySymbols(t);n{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:r,right:h,bottom:l}=e;this.top_panel.set_geometry(new M.BBox({left:o,right:h,bottom:r,height:n.height})),this.bottom_panel.set_geometry(new M.BBox({left:o,right:h,top:l,height:a.height})),this.left_panel.set_geometry(new M.BBox({top:r,bottom:l,right:o,width:i.width})),this.right_panel.set_geometry(new M.BBox({top:r,bottom:l,left:h,width:s.width}))}}i.PlotLayout=R,R.__name__=\"PlotLayout\";class k extends h.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(){this.is_paused||this.throttled_paint()}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.force_paint=new c.Signal0(this,\"force_paint\"),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:{},dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1},this.canvas=new a.Canvas({use_hidpi:this.model.hidpi,output_backend:this.model.output_backend}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.force_paint.emit(),15);const{title_location:t,title:e}=this.model;null!=t&&null!=e&&(this._title=e instanceof l.Title?e:new l.Title({text:e}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new d.ToolbarPanel({toolbar:s}),s.toolbar_location=i),this.renderer_views={},this.tool_views={}}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new R,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:r,title:h}=this.model;null!=r&&null!=h&&o(r).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i{const i=this.renderer_views[e.id];return i.layout=new z.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new S.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new S.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new O.VStack,f=new O.VStack,b=new O.HStack,y=new O.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const e in this.renderer_views){const i=this.renderer_views[e];i instanceof _.AxisView&&t.push(i)}return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}prepare_webgl(t,e){const{webgl:i}=this.canvas_view;if(null!=i){const{width:s,height:n}=this.canvas_view.bbox,{pixel_ratio:a}=this.canvas_view.model;i.canvas.width=a*s,i.canvas.height=a*n;const{gl:o}=i;o.enable(o.SCISSOR_TEST);const[r,h,l,_]=e,{xview:d,yview:u}=this.canvas_view.bbox,c=d.compute(r),p=u.compute(h+_);o.scissor(t*c,t*p,t*l,t*_),o.enable(o.BLEND),o.blendFuncSeparate(o.SRC_ALPHA,o.ONE_MINUS_SRC_ALPHA,o.ONE_MINUS_DST_ALPHA,o.ONE)}}clear_webgl(){const{webgl:t}=this.canvas_view;if(null!=t){const{gl:e,canvas:i}=t;e.viewport(0,0,i.width,i.height),e.clearColor(0,0,0,0),e.clear(e.COLOR_BUFFER_BIT||e.DEPTH_BUFFER_BIT)}}blit_webgl(){const{ctx:t,webgl:e}=this.canvas_view;if(null!=e&&(f.logger.debug(\"drawing with WebGL\"),t.restore(),t.drawImage(e.canvas,0,0),t.save(),this.model.hidpi)){const e=this.canvas.pixel_ratio;t.scale(e,e),t.translate(.5,.5)}}update_dataranges(){const t={},e={};let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const s in this.renderer_views){const n=this.renderer_views[s];if(n instanceof r.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&(t[s]=a),i){const t=n.glyph.log_bounds();null!=t&&(e[s]=t)}}}let s=!1,n=!1;const{width:a,height:h}=this.frame.bbox;let l;!1!==this.model.match_aspect&&0!=a&&0!=h&&(l=1/this.model.aspect_scale*(a/h));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model.id,l),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model.id,l),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+r)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-r))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+r)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-r)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views[t.id].layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views[t.id])}async build_renderer_views(){this.computed_renderers=[],this.computed_renderers.push(...this.model.above),this.computed_renderers.push(...this.model.below),this.computed_renderers.push(...this.model.left),this.computed_renderers.push(...this.model.right),this.computed_renderers.push(...this.model.center),this.computed_renderers.push(...this.model.renderers),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals(),this.connect(this.force_paint,()=>this.repaint());const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}this.connect(this.model.properties.renderers.change,async()=>{await this.build_renderer_views()}),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||w.isStrictNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||w.isStrictNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const t in this.renderer_views){if(!this.renderer_views[t].has_finished())return!1}return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.prepare_canvas(t,e),this._outer_bbox=this.layout.bbox,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(`PlotView.paint() for ${this.model.id}`);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const t in this.renderer_views){const e=this.renderer_views[t];if(null==this.range_update_timestamp||e instanceof r.GlyphRendererView&&e.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}}const{ctx:e}=this.canvas_view,i=this.canvas.pixel_ratio;e.save(),this.model.hidpi&&(e.scale(i,i),e.translate(.5,.5));const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value];if(this._map_hook(e,s),this._paint_empty(e,s),this.prepare_webgl(i,s),this.clear_webgl(),this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[t,i,n,a]=s;t+n==this.layout._width.value&&(n-=1),i+a==this.layout._height.value&&(a-=1),e.strokeRect(t,i,n,a),e.restore()}this._paint_levels(e,[\"image\",\"underlay\",\"glyph\"],s,!0),this._paint_levels(e,[\"annotation\"],s,!1),this._paint_levels(e,[\"overlay\"],s,!1),null==this._initial_state_info.range&&this.set_initial_range(),e.restore()}_paint_levels(t,e,i,s){for(const n of e)for(const e of this.computed_renderers){if(e.level!=n)continue;const a=this.renderer_views[e.id];t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.blit_webgl(),this.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,r,h,l]=e;t.clearRect(i,s,n,a),this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,r,h,l)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,r,h,l))}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=k,k.__name__=\"PlotView\"},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n", " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(283)),r=t(14),a=t(70),h=t(66),_=t(284),o=t(9),c=t(23),l=t(8),p=t(101),u=n.__importStar(t(281));class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this)}destroy(){this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(l.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),p.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,c.isEmpty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(c.isEmpty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[p.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e:e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new u.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new u.MouseMove(n,i,r,a);case\"mouseenter\":return new u.MouseEnter(n,i,r,a);case\"mouseleave\":return new u.MouseLeave(n,i,r,a);case\"tap\":return new u.Tap(n,i,r,a);case\"doubletap\":return new u.DoubleTap(n,i,r,a);case\"press\":return new u.Press(n,i,r,a);case\"pressup\":return new u.PressUp(n,i,r,a);case\"pan\":return new u.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new u.PanStart(n,i,r,a);case\"panend\":return new u.PanEnd(n,i,r,a);case\"pinch\":return new u.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new u.PinchStart(n,i,r,a);case\"pinchend\":return new u.PinchEnd(n,i,r,a);case\"rotate\":return new u.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new u.RotateStart(n,i,r,a);case\"rotateend\":return new u.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey})}_move_event(t){return Object.assign({type:t.type},this._get_sxy(t))}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t)})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n", " function _(t,e,n){\n", " /*! Hammer.JS - v2.0.7 - 2016-04-22\n", " * http://hammerjs.github.io/\n", " *\n", " * Copyright (c) 2016 Jorik Tangelder;\n", " * Licensed under the MIT license */\n", " !function(t,n,i,r){\"use strict\";var s,o=[\"\",\"webkit\",\"Moz\",\"MS\",\"ms\",\"o\"],a=n.createElement(\"div\"),h=Math.round,u=Math.abs,c=Date.now;function l(t,e,n){return setTimeout(y(t,n),e)}function p(t,e,n){return!!Array.isArray(t)&&(f(t,n[e],n),!0)}function f(t,e,n){var i;if(t)if(t.forEach)t.forEach(e,n);else if(void 0!==t.length)for(i=0;i\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\",s=t.console&&(t.console.warn||t.console.log);return s&&s.call(t.console,r,i),e.apply(this,arguments)}}s=\"function\"!=typeof Object.assign?function(t){if(null==t)throw new TypeError(\"Cannot convert undefined or null to object\");for(var e=Object(t),n=1;n-1}function S(t){return t.trim().split(/\\s+/g)}function b(t,e,n){if(t.indexOf&&!n)return t.indexOf(e);for(var i=0;in[e]})):i.sort()),i}function D(t,e){for(var n,i,r=e[0].toUpperCase()+e.slice(1),s=0;s1&&!n.firstMultiple?n.firstMultiple=W(e):1===r&&(n.firstMultiple=!1);var s=n.firstInput,o=n.firstMultiple,a=o?o.center:s.center,h=e.center=q(i);e.timeStamp=c(),e.deltaTime=e.timeStamp-s.timeStamp,e.angle=U(a,h),e.distance=L(a,h),function(t,e){var n=e.center,i=t.offsetDelta||{},r=t.prevDelta||{},s=t.prevInput||{};1!==e.eventType&&4!==s.eventType||(r=t.prevDelta={x:s.deltaX||0,y:s.deltaY||0},i=t.offsetDelta={x:n.x,y:n.y});e.deltaX=r.x+(n.x-i.x),e.deltaY=r.y+(n.y-i.y)}(n,e),e.offsetDirection=H(e.deltaX,e.deltaY);var l=k(e.deltaTime,e.deltaX,e.deltaY);e.overallVelocityX=l.x,e.overallVelocityY=l.y,e.overallVelocity=u(l.x)>u(l.y)?l.x:l.y,e.scale=o?(p=o.pointers,f=i,L(f[0],f[1],X)/L(p[0],p[1],X)):1,e.rotation=o?function(t,e){return U(e[1],e[0],X)+U(t[1],t[0],X)}(o.pointers,i):0,e.maxPointers=n.prevInput?e.pointers.length>n.prevInput.maxPointers?e.pointers.length:n.prevInput.maxPointers:e.pointers.length,function(t,e){var n,i,r,s,o=t.lastInterval||e,a=e.timeStamp-o.timeStamp;if(8!=e.eventType&&(a>25||void 0===o.velocity)){var h=e.deltaX-o.deltaX,c=e.deltaY-o.deltaY,l=k(a,h,c);i=l.x,r=l.y,n=u(l.x)>u(l.y)?l.x:l.y,s=H(h,c),t.lastInterval=e}else n=o.velocity,i=o.velocityX,r=o.velocityY,s=o.direction;e.velocity=n,e.velocityX=i,e.velocityY=r,e.direction=s}(n,e);var p,f;var v=t.element;_(e.srcEvent.target,v)&&(v=e.srcEvent.target);e.target=v}(t,n),t.emit(\"hammer.input\",n),t.recognize(n),t.session.prevInput=n}function W(t){for(var e=[],n=0;n=u(e)?t<0?2:4:e<0?8:16}function L(t,e,n){n||(n=N);var i=e[n[0]]-t[n[0]],r=e[n[1]]-t[n[1]];return Math.sqrt(i*i+r*r)}function U(t,e,n){n||(n=N);var i=e[n[0]]-t[n[0]],r=e[n[1]]-t[n[1]];return 180*Math.atan2(r,i)/Math.PI}Y.prototype={handler:function(){},init:function(){this.evEl&&I(this.element,this.evEl,this.domHandler),this.evTarget&&I(this.target,this.evTarget,this.domHandler),this.evWin&&I(O(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&A(this.element,this.evEl,this.domHandler),this.evTarget&&A(this.target,this.evTarget,this.domHandler),this.evWin&&A(O(this.element),this.evWin,this.domHandler)}};var V={mousedown:1,mousemove:2,mouseup:4};function j(){this.evEl=\"mousedown\",this.evWin=\"mousemove mouseup\",this.pressed=!1,Y.apply(this,arguments)}g(j,Y,{handler:function(t){var e=V[t.type];1&e&&0===t.button&&(this.pressed=!0),2&e&&1!==t.which&&(e=4),this.pressed&&(4&e&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:\"mouse\",srcEvent:t}))}});var G={pointerdown:1,pointermove:2,pointerup:4,pointercancel:8,pointerout:8},Z={2:\"touch\",3:\"pen\",4:\"mouse\",5:\"kinect\"},B=\"pointerdown\",$=\"pointermove pointerup pointercancel\";function J(){this.evEl=B,this.evWin=$,Y.apply(this,arguments),this.store=this.manager.session.pointerEvents=[]}t.MSPointerEvent&&!t.PointerEvent&&(B=\"MSPointerDown\",$=\"MSPointerMove MSPointerUp MSPointerCancel\"),g(J,Y,{handler:function(t){var e=this.store,n=!1,i=t.type.toLowerCase().replace(\"ms\",\"\"),r=G[i],s=Z[t.pointerType]||t.pointerType,o=\"touch\"==s,a=b(e,t.pointerId,\"pointerId\");1&r&&(0===t.button||o)?a<0&&(e.push(t),a=e.length-1):12&r&&(n=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:s,srcEvent:t}),n&&e.splice(a,1))}});var K={touchstart:1,touchmove:2,touchend:4,touchcancel:8};function Q(){this.evTarget=\"touchstart\",this.evWin=\"touchstart touchmove touchend touchcancel\",this.started=!1,Y.apply(this,arguments)}function tt(t,e){var n=x(t.touches),i=x(t.changedTouches);return 12&e&&(n=P(n.concat(i),\"identifier\",!0)),[n,i]}g(Q,Y,{handler:function(t){var e=K[t.type];if(1===e&&(this.started=!0),this.started){var n=tt.call(this,t,e);12&e&&n[0].length-n[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:n[0],changedPointers:n[1],pointerType:\"touch\",srcEvent:t})}}});var et={touchstart:1,touchmove:2,touchend:4,touchcancel:8};function nt(){this.evTarget=\"touchstart touchmove touchend touchcancel\",this.targetIds={},Y.apply(this,arguments)}function it(t,e){var n=x(t.touches),i=this.targetIds;if(3&e&&1===n.length)return i[n[0].identifier]=!0,[n,n];var r,s,o=x(t.changedTouches),a=[],h=this.target;if(s=n.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r-1&&i.splice(t,1)}),2500)}}function at(t){for(var e=t.srcEvent.clientX,n=t.srcEvent.clientY,i=0;i-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){var e=this,n=this.state;function i(n){e.manager.emit(n,t)}n<8&&i(e.options.event+ft(n)),i(e.options.event),t.additionalEvent&&i(t.additionalEvent),n>=8&&i(e.options.event+ft(n))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=32},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distancee.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distancet(u),w))}}},\n", " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(188),a=i(189),r=i(8),h=Math.PI/2,o=\"left\",s=\"center\",n={above:{parallel:0,normal:-h,horizontal:0,vertical:-h},below:{parallel:0,normal:h,horizontal:0,vertical:h},left:{parallel:-h,normal:0,horizontal:0,vertical:-h},right:{parallel:h,normal:0,horizontal:0,vertical:h}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:o,horizontal:s,vertical:o},below:{justified:s,parallel:s,normal:o,horizontal:s,vertical:o},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:o,horizontal:o,vertical:s}},c={above:\"right\",below:o,left:\"right\",right:o},m={above:o,below:\"right\",left:\"right\",right:o};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):0===t?(l=\"whatever\",a=\"whatever\"):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n", " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(66),a=t(30),n=t(280),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${i}px`,this.map_el.style.height=`${o}px`}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n", " function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(186);n.DataRange=g.DataRange;var R=a(185);n.DataRange1d=R.DataRange1d;var r=a(88);n.FactorRange=r.FactorRange;var t=a(89);n.Range=t.Range;var d=a(130);n.Range1d=d.Range1d},\n", " function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(78);d.GlyphRenderer=n.GlyphRenderer;var R=e(97);d.GraphRenderer=R.GraphRenderer;var a=e(149);d.GuideRenderer=a.GuideRenderer;var G=e(63);d.Renderer=G.Renderer},\n", " function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(184);c.CategoricalScale=l.CategoricalScale;var o=a(120);c.ContinuousScale=o.ContinuousScale;var r=a(119);c.LinearScale=r.LinearScale;var S=a(129);c.LogScale=S.LogScale;var n=a(121);c.Scale=n.Scale},\n", " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(99),o);var n=e(76);o.Selection=n.Selection},\n", " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(293);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(295);r.AjaxDataSource=S.AjaxDataSource;var u=a(73);r.ColumnDataSource=u.ColumnDataSource;var t=a(74);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(95);r.CDSView=c.CDSView;var D=a(75);r.DataSource=D.DataSource;var v=a(296);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(294);r.WebDataSource=n.WebDataSource},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(294);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n", " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(73),i=r.__importStar(e(19));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n", " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(294),r=t(70),o=s.__importStar(t(19));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n", " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(74),s=e(70),a=r.__importStar(e(19)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;ethis.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=Math.pow(2,i)))&&!(e<0||e>=Math.pow(2,i))}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/Math.pow(2,t)}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,o=Math.max(_,s);let r=0;for(const t of this._resolutions){if(o>t){if(0==r)return 0;if(r>0)return r-1}r+=1}return r-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,o=Math.max(_,s),r=this._resolutions.reduce((function(t,e){return Math.abs(e-o)e?(a=r-s,u*=t):(a*=e,u=n-o)}const h=(a-(r-s))/2,c=(u-(n-o))/2;return[s-h,o-c,r+h,n+c]}tms_to_wmts(t,e,i){return[t,Math.pow(2,i)-1-e,i]}wmts_to_tms(t,e,i){return[t,Math.pow(2,i)-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<=l;t--)for(let i=n;i<=a;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,a,u]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const o=1<0;s--){const i=1<0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=Math.pow(2,i);return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*Math.pow(2,i),e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/Math.pow(2,i))}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n", " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(69),a=i.__importStar(e(19));class o extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[a.String,\"\"],tile_size:[a.Number,256],max_zoom:[a.Number,30],min_zoom:[a.Number,0],extra_url_vars:[a.Any,{}],attribution:[a.String,\"\"],x_origin_offset:[a.Number],y_origin_offset:[a.Number],initial_resolution:[a.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const e in t){const i=t[e];r=r.replace(`{${e}}`,i)}return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,a]=t,o=(n-r)/2+r,s=(a-i)/2+i;e.sort((function(e,t){return Math.sqrt(Math.pow(o-e[0],2)+Math.pow(s-e[1],2))-Math.sqrt(Math.pow(o-t[0],2)+Math.pow(s-t[1],2))}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=o,o.__name__=\"TileSource\",o.init_TileSource()},\n", " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(30);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n", " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(301);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(306),a=e(79),n=e(130),r=e(66),h=s.__importStar(e(19)),l=e(223),o=e(9),d=e(8),m=e(77),c=e(73),u=e(307);class p extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.plot_view.canvas_view.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":`${a-4}px`,padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"7pt\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);ti&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=p,p.__name__=\"TileRendererView\";class g extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=p,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=g,g.__name__=\"TileRenderer\",g.init_TileRenderer()},\n", " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(301);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n", " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1);t(67),o.__importStar(t(66)).styles.append(\".bk-root .bk-tile-attribution a {\\n color: black;\\n}\\n\"),i.bk_tile_attribution=\"bk-tile-attribution\"},\n", " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(301);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n", " function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(310);a.CanvasTexture=t.CanvasTexture;var u=e(312);a.ImageURLTexture=u.ImageURLTexture;var v=e(311);a.Texture=v.Texture},\n", " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(311),s=r.__importStar(t(19)),i=t(25);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(69),o=r.__importStar(e(19));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n", " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(311),n=r.__importStar(e(19)),s=e(223);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n", " function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(276);T.ActionTool=a.ActionTool;var r=o(314);T.CustomAction=r.CustomAction;var e=o(277);T.HelpTool=e.HelpTool;var v=o(315);T.RedoTool=v.RedoTool;var t=o(316);T.ResetTool=t.ResetTool;var n=o(317);T.SaveTool=n.SaveTool;var s=o(318);T.UndoTool=s.UndoTool;var P=o(319);T.ZoomInTool=P.ZoomInTool;var c=o(321);T.ZoomOutTool=c.ZoomOutTool;var i=o(270);T.ButtonTool=i.ButtonTool;var d=o(322);T.EditTool=d.EditTool;var u=o(323);T.BoxEditTool=u.BoxEditTool;var y=o(324);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(325);T.PointDrawTool=m.PointDrawTool;var x=o(326);T.PolyDrawTool=x.PolyDrawTool;var B=o(327);T.PolyTool=B.PolyTool;var S=o(328);T.PolyEditTool=S.PolyEditTool;var b=o(329);T.BoxSelectTool=b.BoxSelectTool;var h=o(332);T.BoxZoomTool=h.BoxZoomTool;var Z=o(275);T.GestureTool=Z.GestureTool;var p=o(333);T.LassoSelectTool=p.LassoSelectTool;var w=o(334);T.PanTool=w.PanTool;var C=o(335);T.PolySelectTool=C.PolySelectTool;var D=o(336);T.RangeTool=D.RangeTool;var E=o(330);T.SelectTool=E.SelectTool;var H=o(337);T.TapTool=H.TapTool;var R=o(338);T.WheelPanTool=R.WheelPanTool;var A=o(339);T.WheelZoomTool=A.WheelZoomTool;var I=o(340);T.CrosshairTool=I.CrosshairTool;var W=o(341);T.CustomJSHover=W.CustomJSHover;var O=o(342);T.HoverTool=O.HoverTool;var _=o(269);T.InspectTool=_.InspectTool;var f=o(271);T.Tool=f.Tool;var g=o(343);T.ToolProxy=g.ToolProxy;var F=o(268);T.Toolbar=F.Toolbar;var G=o(274);T.ToolbarBase=G.ToolbarBase;var J=o(344);T.ProxyToolbar=J.ProxyToolbar;var L=o(344);T.ToolbarBox=L.ToolbarBox},\n", " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(276),e=n.__importStar(t(19)),c=t(272);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n", " function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(276),s=o(278);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n", " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(276),i=e(278);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n", " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(276),s=e(278);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n", " function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(276),i=o(278);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n", " function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(276),s=o(320),_=e.__importStar(o(19)),m=o(278);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n", " function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n", " function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(276),n=o(320),_=e.__importStar(o(19)),m=o(278);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(19)),n=e(9),i=e(8),_=e(275);class r extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;ethis._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n", " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(19)),i=e(8),s=e(322);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,!1,[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(66),i=e(8),_=e(327),d=e(278);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,!1,[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,!1,this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=e.shiftKey;this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,!0,[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n", " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(330),l=e(105),n=s.__importStar(e(19)),_=e(278);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);if(this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove){const t=e.shiftKey;this._do_select(i,l,!1,t)}}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s),n=e.shiftKey;this._do_select(i,l,!0,n),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=!1){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const a=()=>new l.BoxAnnotation({level:\"overlay\",render_mode:\"css\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:{value:\"lightgrey\"},fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:2},line_dash:{value:[4,4]}});class r extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=_.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[n.Dimensions,\"both\"],select_every_mousemove:[n.Boolean,!1],overlay:[n.Instance,a],origin:[n.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new r),this.register_alias(\"xbox_select\",()=>new r({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new r({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=r,r.__name__=\"BoxSelectTool\",r.init_BoxSelectTool()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),n=e(275),o=e(78),i=e(97),c=e(331),_=r.__importStar(e(19)),a=e(66),l=e(281);class d extends n.GestureToolView{get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return c.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){const e={};for(const t of this.computed_renderers){let s;if(t instanceof o.GlyphRenderer)s=t.data_source.id;else{if(!(t instanceof i.GraphRenderer))continue;s=t.node_renderer.data_source.id}s in e||(e[s]=[]),e[s].push(t)}return e}_keyup(e){if(e.keyCode==a.Keys.Esc){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}}_select(e,t,s){const r=this._computed_renderers_by_data_source();for(const n in r){const o=r[n],i=o[0].get_selection_manager(),c=[];for(const e of o)e.id in this.plot_view.renderer_views&&c.push(this.plot_view.renderer_views[e.id]);i.select(c,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,r=s.xscales.default,n=s.yscales.default;let o;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,i=r.invert(t),c=n.invert(s);o=Object.assign(Object.assign({},e),{x:i,y:c});break}case\"span\":{const{sx:t,sy:s}=e,i=r.invert(t),c=n.invert(s);o=Object.assign(Object.assign({},e),{x:i,y:c});break}case\"rect\":{const{sx0:t,sx1:s,sy0:i,sy1:c}=e,[_,a]=r.r_invert(t,s),[l,d]=n.r_invert(i,c);o=Object.assign(Object.assign({},e),{x0:_,y0:l,x1:a,y1:d});break}case\"poly\":{const{sx:t,sy:s}=e,i=r.v_invert(t),c=n.v_invert(s);o=Object.assign(Object.assign({},e),{x:i,y:c});break}}this.plot_model.trigger_event(new l.SelectionGeometry(o,t))}}s.SelectToolView=d,d.__name__=\"SelectToolView\";class u extends n.GestureTool{constructor(e){super(e)}static init_SelectTool(){this.define({renderers:[_.Any,\"auto\"],names:[_.Array,[]]})}}s.SelectTool=u,u.__name__=\"SelectTool\",u.init_SelectTool()},\n", " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n", " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(275),n=t(105),a=s.__importStar(t(19)),_=t(278);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,a=e.bbox.v_range.end,_=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,u;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,ma&&(d=a)):(d=t[1],u=t[1]-l/s,u<_&&(u=_)),r=Math.abs(d-u),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[u,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,a={};for(const e in i){const s=i[e],[n,_]=s.r_invert(t,o);a[e]={start:n,end:_}}const _={};for(const t in n){const o=n[t],[i,a]=o.r_invert(e,s);_[t]={start:i,end:a}}const l={xrs:a,yrs:_};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",render_mode:\"css\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:{value:\"lightgrey\"},fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:2},line_dash:{value:[4,4]}});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=_.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[a.Dimensions,\"both\"],overlay:[a.Instance,r],match_aspect:[a.Boolean,!1],origin:[a.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n", " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(1),a=e(330),o=e(138),i=e(66),_=l.__importStar(e(19)),c=e(278);class n extends a.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==i.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[l,a]=this.plot_view.frame.bbox.clip(s,t);if(this.data.sx.push(l),this.data.sy.push(a),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove){const s=e.shiftKey;this._do_select(this.data.sx,this.data.sy,!1,s)}}_pan_end(e){this._clear_overlay();const s=e.shiftKey;this._do_select(this.data.sx,this.data.sy,!0,s),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,l){const a={type:\"poly\",sx:e,sy:s};this._select(a,t,l)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new o.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:{value:\"lightgrey\"},fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:2},line_dash:{value:[4,4]}});class r extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n", " function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(275),o=i.__importStar(t(19)),a=t(278);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(st.end)&&(this.v_axis_only=!0),(ne.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(330),i=e(138),a=e(66),_=l.__importStar(e(19)),c=e(9),n=e(278);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){const t=e.shiftKey;this._do_select(this.data.sx,this.data.sy,!0,t),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:{value:\"lightgrey\"},fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:2},line_dash:{value:[4,4]}});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(105),l=e(70),a=i.__importStar(e(19)),r=e(275),o=e(278);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(en.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class v extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=v,v.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",render_mode:\"canvas\",fill_color:\"lightgrey\",fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:.5},line_dash:[2,2]});class p extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=v,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=p,p.__name__=\"RangeTool\",p.init_RangeTool()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(330),n=i.__importStar(e(19)),a=e(278);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s},o=e.shiftKey;this._select(i,!0,o)}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const n in o){const a=o[n],_=a[0].get_selection_manager(),c=a.map(e=>this.plot_view.renderer_views[e.id]);if(_.select(c,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],o=t.yscales[a[0].y_range_name],n=s.invert(e.sx),c=o.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:n,y:c}),source:_.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views[t.id],e)&&null!=i){const{frame:o}=this.plot_view,n=o.xscales[t.x_range_name],a=o.yscales[t.y_range_name],_=n.invert(e.sx),c=a.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=a.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[n.TapBehavior,\"select\"],callback:[n.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(275),i=n.__importStar(e(19)),a=e(278);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n", " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(275),l=e(320),n=s.__importStar(e(19)),_=e(101),h=e(278);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s}=e;let i;i=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:i})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.startnew m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n", " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(269),n=i(140),l=t.__importStar(i(19)),h=i(23),r=i(278);class _ extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:e,sy:s}=i;this.plot_view.frame.bbox.contains(e,s)?this._update_spans(e,s):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,e){const s=this.model.dimensions;\"width\"!=s&&\"both\"!=s||(this.model.spans.width.computed_location=e),\"height\"!=s&&\"both\"!=s||(this.model.spans.height.computed_location=i)}}s.CrosshairToolView=_,_.__name__=\"CrosshairToolView\";class a extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=r.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=_,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({location_units:[l.SpatialUnits,\"screen\"],render_mode:[l.RenderMode,\"css\"],spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new a)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",render_mode:this.render_mode,location_units:this.location_units,line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",render_mode:this.render_mode,location_units:this.location_units,line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}s.CrosshairTool=a,a.__name__=\"CrosshairTool\",a.init_CrosshairTool()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(69),i=r.__importStar(e(19)),a=e(23),n=e(25);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),i=e(269),o=e(143),r=e(78),l=e(97),a=e(331),c=n.__importStar(e(87)),d=e(158),_=e(66),p=n.__importStar(e(19)),h=e(21),m=e(23),u=e(8),y=e(96),x=e(278),f=e(144);function v(e,t,s,n,i,o){const r={x:i[e],y:o[e]},l={x:i[e+1],y:o[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return athis._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e={},t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers)if(s instanceof r.GlyphRenderer){const n=new o.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});e[s.id]=n}else if(s instanceof l.GraphRenderer){const n=new o.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});e[s.node_renderer.id]=n,e[s.edge_renderer.id]=n}return y.build_views(this.ttviews,m.values(e),{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const e in this.ttmodels){this.ttmodels[e].clear()}}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views[e.id],s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView||e instanceof l.GraphRendererView))return;const{model:s}=e,n=this.ttmodels[s.id];if(null==n)return;n.clear();const i=s.get_selection_manager();let o=i.inspectors[s.id];if(s instanceof r.GlyphRenderer&&(o=s.view.convert_selection_to_subset(o)),o.is_empty())return;const a=i.source,{frame:c}=this.plot_view,{sx:d,sy:_}=t,p=c.xscales[s.x_range_name],h=c.yscales[s.y_range_name],u=p.invert(d),y=h.invert(_),x=e.glyph;for(const s of o.line_indices){let i,r,l=x._x[s+1],c=x._y[s+1],m=s;switch(this.model.line_policy){case\"interp\":[l,c]=x.get_interpolation_hit(s,t),i=p.compute(l),r=h.compute(c);break;case\"prev\":[[i,r],m]=w(x.sx,x.sy,s);break;case\"next\":[[i,r],m]=w(x.sx,x.sy,s+1);break;case\"nearest\":[[i,r],m]=v(s,t,d,_,x.sx,x.sy),l=x._x[m],c=x._y[m];break;default:[i,r]=[d,_]}const f={index:m,x:u,y:y,sx:d,sy:_,data_x:l,data_y:c,rx:i,ry:r,indices:o.line_indices,name:e.model.name};n.add(i,r,this._render_tooltips(a,m,f))}for(const e of o.image_indices){const t={index:e.index,x:u,y:y,sx:d,sy:_},s=this._render_tooltips(a,e,t);n.add(d,_,s)}for(const i of o.indices)if(m.isEmpty(o.multiline_indices)){const t=null!=x._x?x._x[i]:void 0,l=null!=x._y?x._y[i]:void 0;let c,p,h;if(\"snap_to_data\"==this.model.point_policy){let e=x.get_anchor_point(this.model.anchor,i,[d,_]);null==e&&(e=x.get_anchor_point(\"center\",i,[d,_])),c=e.x,p=e.y}else[c,p]=[d,_];h=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([i])[0]:i;const m={index:h,x:u,y:y,sx:d,sy:_,data_x:t,data_y:l,indices:o.indices,name:e.model.name};n.add(c,p,this._render_tooltips(a,h,m))}else for(const l of o.multiline_indices[i.toString()]){let c,m,f,b=x._xs[i][l],g=x._ys[i][l],k=l;switch(this.model.line_policy){case\"interp\":[b,g]=x.get_interpolation_hit(i,l,t),c=p.compute(b),m=h.compute(g);break;case\"prev\":[[c,m],k]=w(x.sxs[i],x.sys[i],l);break;case\"next\":[[c,m],k]=w(x.sxs[i],x.sys[i],l+1);break;case\"nearest\":[[c,m],k]=v(l,t,d,_,x.sxs[i],x.sys[i]),b=x._xs[i][k],g=x._ys[i][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([i])[0]:i;const T={index:f,x:u,y:y,sx:d,sy:_,data_x:b,data_y:g,segment_index:k,indices:o.multiline_indices,name:e.model.name};n.add(c,m,this._render_tooltips(a,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,i=n.xscales[t.x_range_name],o=n.yscales[t.y_range_name],r=i.invert(e.sx),l=o.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const i=_.div();return i.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),i}if(u.isFunction(n))return n(e,s);{const i=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[o,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(i.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=o.length?`${o}: `:\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),i=e.get_column(n);if(null==i){const e=_.span({},`${n} unknown`);l.appendChild(e);continue}const o=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?i[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}o&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return i}}}s.HoverToolView=b,b.__name__=\"HoverToolView\";class g extends i.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=b,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new g)}}s.HoverTool=g,g.__name__=\"HoverTool\",g.init_HoverTool()},\n", " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(19)),s=t(14),n=t(69),l=t(269);class c extends n.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new s.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active())}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}}e.ToolProxy=c,c.__name__=\"ToolProxy\",c.init_ToolProxy()},\n", " function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(19)),e=t(9),n=t(274),r=t(343),l=t(244),c=t(187);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,this._active_change.bind(this,s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,this._active_change.bind(this,t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n", " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(64),d=e(96),c=e(66),l=e(346);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n", " function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(66),r=e(67);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under `);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n", " function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(348),s=n(70),c=n(345);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n", " function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(70),o=e(5),r=e(349),i=e(350),c=e(351);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=`${this.url}`;return null!=this.args_string&&this.args_string.length>0&&(e+=`?${this.args_string}`),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(`websocket creation failed to url: ${this.url}`),t.logger.error(` - ${e}`),e}}close(){this.closed_permanently||(t.logger.debug(`Permanently closing websocket connection ${this._number}`),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,`close method called on ClientConnection ${this._number}`),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(`not connected so cannot send ${e}`);e.send(this.socket)}async send_with_reply(e){const s=await new Promise((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)});if(\"ERROR\"===s.msgtype())throw new Error(`Error reply ${s.content.text}`);return s}async _pull_doc_json(){const e=r.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;t.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=o.Document.from_json(n),i=o.Document._compute_patch_since_json(n,s);if(i.events.length>0){t.logger.debug(`Sending ${i.events.length} changes from model construction back to server`);const e=r.Message.create(\"PATCH-DOC\",{},i);this.send(e)}this.session=new c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(`Failed to repull session ${e}`),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(`Websocket error on socket ${this._number}`);const s=\"Could not open websocket\";t.logger.error(`Failed to connect to Bokeh server: ${s}`),e(new Error(s))}_close_bad_protocol(e){t.logger.error(`Closing connection: ${e}`),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n", " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(25);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=[]}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),h=JSON.parse(t);return new n(r,i,h)}assemble_buffer(e,s){if((null!=this.header.num_buffers?this.header.num_buffers:0)<=this.buffers.length)throw new Error(\"too many buffers received, expecting #{nb}\");this.buffers.push([e,s])}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(!(\"num_buffers\"in this.header)||this.buffers.length===this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n", " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(349);class r{constructor(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}consume(e){this._current_consumer(e)}_HEADER(e){this._assume_text(e),this.message=null,this._partial=null,this._fragments=[e],this._buf_header=null,this._current_consumer=this._METADATA}_METADATA(e){this._assume_text(e),this._fragments.push(e),this._current_consumer=this._CONTENT}_CONTENT(e){this._assume_text(e),this._fragments.push(e);const[t,s,r]=this._fragments.slice(0,3);this._partial=_.Message.assemble(t,s,r),this._check_complete()}_BUFFER_HEADER(e){this._assume_text(e),this._buf_header=e,this._current_consumer=this._BUFFER_PAYLOAD}_BUFFER_PAYLOAD(e){this._assume_binary(e),this._partial.assemble_buffer(this._buf_header,e),this._check_complete()}_assume_text(e){if(e instanceof ArrayBuffer)throw new Error(\"Expected text fragment but received binary fragment\")}_assume_binary(e){if(!(e instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")}_check_complete(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER}}s.Receiver=r,r.__name__=\"Receiver\"},\n", " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(5),s=e(349),i=e(70);class c{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>this._document_changed(e),this.document.on_change(this._document_listener)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):i.logger.debug(`Doing nothing with message ${e.msgtype()}`)}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=s.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;if(e instanceof o.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes()))return;const t=s.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch([e]));this._connection.send(t)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){i.logger.trace(`Unhandled OK reply to ${e.reqid()}`)}_handle_error(e){i.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=c,c.__name__=\"ClientSession\"},\n", " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(5),r=e(350),s=e(70),i=e(23),c=e(345),l=e(346);function u(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function g(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){s.logger.info(`Registering Jupyter comms for target ${e}`);const t=Jupyter.notebook.kernel.comm_manager;try{t.register_target(e,t=>{s.logger.info(`Registering Jupyter comms for target ${e}`);const n=new r.Receiver;t.on_msg(u.bind(o,n))})}catch(e){s.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else if(o.roots()[0].id in t.kernels){s.logger.info(`Registering JupyterLab comms for target ${e}`);const n=t.kernels[o.roots()[0].id];try{n.registerCommTarget(e,t=>{s.logger.info(`Registering JupyterLab comms for target ${e}`);const n=new r.Receiver;t.onMsg=u.bind(o,n)})}catch(e){s.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else console.warn(\"Jupyter notebooks comms not available. push_notebook() will not function. If running JupyterLab ensure the latest @bokeh/jupyter_bokeh extension is installed. In an exported notebook this warning is expected.\")}e(279),e(353),t.kernels={},t.embed_items_notebook=function(e,o){if(1!=i.size(e))throw new Error(\"embed_items_notebook expects exactly one document in docs_json\");const t=n.Document.from_json(i.values(e)[0]);for(const e of o){null!=e.notebook_comms_target&&g(e.notebook_comms_target,t);const o=l._resolve_element(e),n=l._resolve_root_elements(e);c.add_document_standalone(t,o,n)}}},\n", " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1);e(67),n.__importStar(e(66)).styles.append(\"/* notebook specific tweaks so no black outline and matching padding\\n/* can't be wrapped inside bk-root. here are the offending jupyter lines:\\n/* https://github.com/jupyter/notebook/blob/master/notebook/static/notebook/less/renderedhtml.less#L59-L76 */\\n.rendered_html .bk-root .bk-tooltip table,\\n.rendered_html .bk-root .bk-tooltip tr,\\n.rendered_html .bk-root .bk-tooltip th,\\n.rendered_html .bk-root .bk-tooltip td {\\n border: none;\\n padding: 1px;\\n}\\n\")},\n", " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(349),_),o.__exportStar(e(350),_)},\n", " function _(e,t,n){function s(){const e=document.getElementsByTagName(\"body\")[0],t=document.getElementsByClassName(\"bokeh-test-div\");1==t.length&&(e.removeChild(t[0]),delete t[0]);const n=document.createElement(\"div\");n.classList.add(\"bokeh-test-div\"),n.style.display=\"none\",e.insertBefore(n,e.firstChild)}Object.defineProperty(n,\"__esModule\",{value:!0}),n.results={},n.init=function(){s()},n.record0=function(e,t){n.results[e]=t},n.record=function(e,t){n.results[e]=t,s()},n.count=function(e){null==n.results[e]&&(n.results[e]=0),n.results[e]+=1,s()}},\n", " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.safely=function(e,t=!1){try{return e()}catch(e){if(function(e){const t=document.createElement(\"div\");t.style.backgroundColor=\"#f2dede\",t.style.border=\"1px solid 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h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n", " 384: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),l=e(379),s=e(66),_=n.__importStar(e(19)),o=e(385);class p extends l.ControlView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}render(){super.render();const{title:e}=this.model;this.label_el=s.label({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=s.div({class:o.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class r extends l.Control{constructor(e){super(e)}static 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select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n height: auto;\\n}\\n.bk-root .bk-input-group {\\n width: 100%;\\n height: 100%;\\n display: inline-flex;\\n display: -webkit-inline-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: start;\\n -webkit-align-items: start;\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n position: relative;\\n top: -2px;\\n margin-left: 3px;\\n}\\n'),t.bk_input=\"bk-input\",t.bk_input_group=\"bk-input-group\"},\n", " 386: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(378),o=t(281);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n", " 387: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(388),n=t(66),s=t(15),u=i.__importStar(t(19)),a=t(145);class r extends c.ButtonGroupView{get active(){return new s.Set(this.model.active)}change_active(t){const{active:e}=this;e.toggle(t),this.model.active=e.values}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{n.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=r,r.__name__=\"CheckboxButtonGroupView\";class _ extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=r,this.define({active:[u.Array,[]]})}}o.CheckboxButtonGroup=_,_.__name__=\"CheckboxButtonGroup\",_.init_CheckboxButtonGroup()},\n", " 388: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),o=t(379),i=t(66),_=s.__importStar(t(19)),r=t(252);class a extends o.ControlView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const n=i.div({class:[r.bk_btn,r.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return n.addEventListener(\"click\",()=>this.change_active(e)),n}),this._update_active();const t=i.div({class:r.bk_btn_group},this._buttons);this.el.appendChild(t)}}n.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class u extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[_.Array,[]],button_type:[_.ButtonType,\"default\"]})}}n.ButtonGroup=u,u.__name__=\"ButtonGroup\",u.init_ButtonGroup()},\n", " 389: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(390),s=e(66),c=e(9),l=e(15),a=n.__importStar(e(19)),r=e(145),d=e(385);class p extends o.InputGroupView{render(){super.render();const e=s.div({class:[d.bk_input_group,this.model.inline?r.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;for(let n=0;nthis.change_active(n)),this.model.disabled&&(o.disabled=!0),c.includes(t,n)&&(o.checked=!0);const l=s.label({},o,s.span({},i[n]));e.appendChild(l)}}change_active(e){const t=new l.Set(this.model.active);t.toggle(e),this.model.active=t.values}}i.CheckboxGroupView=p,p.__name__=\"CheckboxGroupView\";class u extends o.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=p,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=u,u.__name__=\"CheckboxGroup\",u.init_CheckboxGroup()},\n", " 390: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(379);class s extends o.ControlView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}}t.InputGroupView=s,s.__name__=\"InputGroupView\";class c extends o.Control{constructor(e){super(e)}}t.InputGroup=c,c.__name__=\"InputGroup\"},\n", " 391: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(384),s=e(66),l=n.__importStar(e(19)),r=e(385);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n", " 392: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),a=n.__importDefault(e(393)),s=e(384),l=e(66),o=n.__importStar(e(19)),d=e(8),r=e(385);function c(e){const t=[];for(const i of e)d.isString(i)?t.push(i):d.isArray(i)&&2==i.length&&t.push({from:i[0],to:i[1]});return t}e(394);class u extends s.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:a,position:s,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",a.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",s.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:r.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=a.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:c(this.model.disabled_dates),enable:c(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=u,u.__name__=\"DatePickerView\";class _ extends s.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=u,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=_,_.__name__=\"DatePicker\",_.init_DatePicker()},\n", " 393: function _(e,t,n){\n", " /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n", " /*! *****************************************************************************\n", " Copyright (c) Microsoft Corporation. All rights reserved.\n", " Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n", " this file except in compliance with the License. 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0!==h.config.maxTime?h.config.maxTime:h.config.maxDate;(n=Math.min(n,l.getHours()))===l.getHours()&&(a=Math.min(a,l.getMinutes())),a===l.getMinutes()&&(i=Math.min(i,l.getSeconds()))}if(r){var c=void 0!==h.config.minTime?h.config.minTime:h.config.minDate;(n=Math.max(n,c.getHours()))===c.getHours()&&(a=Math.max(a,c.getMinutes())),a===c.getMinutes()&&(i=Math.max(i,c.getSeconds()))}I(n,a,i)}}function T(e){var t=e||h.latestSelectedDateObj;t&&I(t.getHours(),t.getMinutes(),t.getSeconds())}function k(){var e=h.config.defaultHour,t=h.config.defaultMinute,n=h.config.defaultSeconds;if(void 0!==h.config.minDate){var a=h.config.minDate.getHours(),i=h.config.minDate.getMinutes();(e=Math.max(e,a))===a&&(t=Math.max(i,t)),e===a&&t===i&&(n=h.config.minDate.getSeconds())}if(void 0!==h.config.maxDate){var o=h.config.maxDate.getHours(),r=h.config.maxDate.getMinutes();(e=Math.min(e,o))===o&&(t=Math.min(r,t)),e===o&&t===r&&(n=h.config.maxDate.getSeconds())}I(e,t,n)}function I(e,t,n){void 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n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var 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ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;ca&&cr)?r=c:c>n&&(!l||c0&&m0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),nt&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&dn,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var 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h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete h.altInput),h.input&&(h.input.type=h.input._type,h.input.classList.remove(\"flatpickr-input\"),h.input.removeAttribute(\"readonly\"),h.input.value=\"\"),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete h[e]}catch(e){}}))},h.isEnabled=Z,h.jumpToDate=N,h.open=function(e,t){if(void 0===t&&(t=h._positionElement),!0===h.isMobile)return e&&(e.preventDefault(),e.target&&e.target.blur()),void 0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof 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h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var 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K\"}i.altInputClass||(h.config.altInputClass=h.input.className+\" \"+h.config.altInputClass),Object.defineProperty(h.config,\"minDate\",{get:function(){return h.config._minDate},set:ae(\"min\")}),Object.defineProperty(h.config,\"maxDate\",{get:function(){return h.config._maxDate},set:ae(\"max\")});var s=function(e){return function(t){h.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=h.parseDate(t,\"H:i:S\")}};Object.defineProperty(h.config,\"minTime\",{get:function(){return h.config._minTime},set:s(\"min\")}),Object.defineProperty(h.config,\"maxTime\",{get:function(){return h.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(h.config.noCalendar=!0,h.config.enableTime=!0),Object.assign(h.config,o,i);for(var u=0;u-1?h.config[p]=l(m[p]).map(C).concat(h.config[p]):void 0===i[p]&&(h.config[p]=m[p])}fe(\"onParseConfig\")}(),ie(),h.input=h.config.wrap?f.querySelector(\"[data-input]\"):f,h.input?(h.input._type=h.input.type,h.input.type=\"text\",h.input.classList.add(\"flatpickr-input\"),h._input=h.input,h.config.altInput&&(h.altInput=d(h.input.nodeName,h.config.altInputClass),h._input=h.altInput,h.altInput.placeholder=h.input.placeholder,h.altInput.disabled=h.input.disabled,h.altInput.required=h.input.required,h.altInput.tabIndex=h.input.tabIndex,h.altInput.type=\"text\",h.input.setAttribute(\"type\",\"hidden\"),!h.config.static&&h.input.parentNode&&h.input.parentNode.insertBefore(h.altInput,h.input.nextSibling)),h.config.allowInput||h._input.setAttribute(\"readonly\",\"readonly\"),h._positionElement=h.config.positionElement||h._input):h.config.errorHandler(new Error(\"Invalid input element specified\")),function(){h.selectedDates=[],h.now=h.parseDate(h.config.now)||new Date;var e=h.config.defaultDate||(\"INPUT\"!==h.input.nodeName&&\"TEXTAREA\"!==h.input.nodeName||!h.input.placeholder||h.input.value!==h.input.placeholder?h.input.value:null);e&&se(e,h.config.dateFormat),h._initialDate=h.selectedDates.length>0?h.selectedDates[0]:h.config.minDate&&h.config.minDate.getTime()>h.now.getTime()?h.config.minDate:h.config.maxDate&&h.config.maxDate.getTime()0&&(h.latestSelectedDateObj=h.selectedDates[0]),void 0!==h.config.minTime&&(h.config.minTime=h.parseDate(h.config.minTime,\"H:i\")),void 0!==h.config.maxTime&&(h.config.maxTime=h.parseDate(h.config.maxTime,\"H:i\")),h.minDateHasTime=!!h.config.minDate&&(h.config.minDate.getHours()>0||h.config.minDate.getMinutes()>0||h.config.minDate.getSeconds()>0),h.maxDateHasTime=!!h.config.maxDate&&(h.config.maxDate.getHours()>0||h.config.maxDate.getMinutes()>0||h.config.maxDate.getSeconds()>0),Object.defineProperty(h,\"showTimeInput\",{get:function(){return h._showTimeInput},set:function(e){h._showTimeInput=e,h.calendarContainer&&c(h.calendarContainer,\"showTimeInput\",e),h.isOpen&&oe()}})}(),h.utils={getDaysInMonth:function(e,t){return void 0===e&&(e=h.currentMonth),void 0===t&&(t=h.currentYear),1===e&&(t%4==0&&t%100!=0||t%400==0)?29:h.l10n.daysInMonth[e]}},h.isMobile||function(){var e=window.document.createDocumentFragment();if(h.calendarContainer=d(\"div\",\"flatpickr-calendar\"),h.calendarContainer.tabIndex=-1,!h.config.noCalendar){if(e.appendChild((h.monthNav=d(\"div\",\"flatpickr-months\"),h.yearElements=[],h.monthElements=[],h.prevMonthNav=d(\"span\",\"flatpickr-prev-month\"),h.prevMonthNav.innerHTML=h.config.prevArrow,h.nextMonthNav=d(\"span\",\"flatpickr-next-month\"),h.nextMonthNav.innerHTML=h.config.nextArrow,K(),Object.defineProperty(h,\"_hidePrevMonthArrow\",{get:function(){return h.__hidePrevMonthArrow},set:function(e){h.__hidePrevMonthArrow!==e&&(c(h.prevMonthNav,\"flatpickr-disabled\",e),h.__hidePrevMonthArrow=e)}}),Object.defineProperty(h,\"_hideNextMonthArrow\",{get:function(){return h.__hideNextMonthArrow},set:function(e){h.__hideNextMonthArrow!==e&&(c(h.nextMonthNav,\"flatpickr-disabled\",e),h.__hideNextMonthArrow=e)}}),h.currentYearElement=h.yearElements[0],pe(),h.monthNav)),h.innerContainer=d(\"div\",\"flatpickr-innerContainer\"),h.config.weekNumbers){var t=function(){h.calendarContainer.classList.add(\"hasWeeks\");var e=d(\"div\",\"flatpickr-weekwrapper\");e.appendChild(d(\"span\",\"flatpickr-weekday\",h.l10n.weekAbbreviation));var t=d(\"div\",\"flatpickr-weeks\");return e.appendChild(t),{weekWrapper:e,weekNumbers:t}}(),n=t.weekWrapper,a=t.weekNumbers;h.innerContainer.appendChild(n),h.weekNumbers=a,h.weekWrapper=n}h.rContainer=d(\"div\",\"flatpickr-rContainer\"),h.rContainer.appendChild(U()),h.daysContainer||(h.daysContainer=d(\"div\",\"flatpickr-days\"),h.daysContainer.tabIndex=-1),R(),h.rContainer.appendChild(h.daysContainer),h.innerContainer.appendChild(h.rContainer),e.appendChild(h.innerContainer)}h.config.enableTime&&e.appendChild(function(){h.calendarContainer.classList.add(\"hasTime\"),h.config.noCalendar&&h.calendarContainer.classList.add(\"noCalendar\"),h.timeContainer=d(\"div\",\"flatpickr-time\"),h.timeContainer.tabIndex=-1;var e=d(\"span\",\"flatpickr-time-separator\",\":\"),t=u(\"flatpickr-hour\",{\"aria-label\":h.l10n.hourAriaLabel});h.hourElement=t.getElementsByTagName(\"input\")[0];var 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a=u(\"flatpickr-second\");h.secondElement=a.getElementsByTagName(\"input\")[0],h.secondElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getSeconds():h.config.defaultSeconds),h.secondElement.setAttribute(\"step\",h.minuteElement.getAttribute(\"step\")),h.secondElement.setAttribute(\"min\",\"0\"),h.secondElement.setAttribute(\"max\",\"59\"),h.timeContainer.appendChild(d(\"span\",\"flatpickr-time-separator\",\":\")),h.timeContainer.appendChild(a)}return h.config.time_24hr||(h.amPM=d(\"span\",\"flatpickr-am-pm\",h.l10n.amPM[o((h.latestSelectedDateObj?h.hourElement.value:h.config.defaultHour)>11)]),h.amPM.title=h.l10n.toggleTitle,h.amPM.tabIndex=-1,h.timeContainer.appendChild(h.amPM)),h.timeContainer}()),c(h.calendarContainer,\"rangeMode\",\"range\"===h.config.mode),c(h.calendarContainer,\"animate\",!0===h.config.animate),c(h.calendarContainer,\"multiMonth\",h.config.showMonths>1),h.calendarContainer.appendChild(e);var r=void 0!==h.config.appendTo&&void 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e=h.config.enableTime?h.config.noCalendar?\"time\":\"datetime-local\":\"date\";h.mobileInput=d(\"input\",h.input.className+\" flatpickr-mobile\"),h.mobileInput.step=h.input.getAttribute(\"step\")||\"any\",h.mobileInput.tabIndex=1,h.mobileInput.type=e,h.mobileInput.disabled=h.input.disabled,h.mobileInput.required=h.input.required,h.mobileInput.placeholder=h.input.placeholder,h.mobileFormatStr=\"datetime-local\"===e?\"Y-m-d\\\\TH:i:S\":\"date\"===e?\"Y-m-d\":\"H:i:S\",h.selectedDates.length>0&&(h.mobileInput.defaultValue=h.mobileInput.value=h.formatDate(h.selectedDates[0],h.mobileFormatStr)),h.config.minDate&&(h.mobileInput.min=h.formatDate(h.config.minDate,\"Y-m-d\")),h.config.maxDate&&(h.mobileInput.max=h.formatDate(h.config.maxDate,\"Y-m-d\")),h.input.type=\"hidden\",void 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18px;\\n}\\n.bk-root .bk-noUi-horizontal .bk-noUi-handle {\\n width: 34px;\\n height: 28px;\\n left: -17px;\\n top: -6px;\\n}\\n.bk-root .bk-noUi-vertical {\\n width: 18px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle {\\n width: 28px;\\n height: 34px;\\n left: -6px;\\n top: -17px;\\n}\\n.bk-root .bk-noUi-target {\\n background: #FAFAFA;\\n border-radius: 4px;\\n border: 1px solid #D3D3D3;\\n box-shadow: inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;\\n}\\n.bk-root .bk-noUi-connect {\\n background: #3FB8AF;\\n border-radius: 4px;\\n box-shadow: inset 0 0 3px rgba(51, 51, 51, 0.45);\\n -webkit-transition: background 450ms;\\n transition: background 450ms;\\n}\\n.bk-root .bk-noUi-draggable {\\n cursor: ew-resize;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-draggable {\\n cursor: ns-resize;\\n}\\n.bk-root .bk-noUi-handle {\\n border: 1px solid #D9D9D9;\\n border-radius: 3px;\\n background: #FFF;\\n cursor: default;\\n box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .bk-noUi-active {\\n box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .bk-noUi-handle:before,\\n.bk-root .bk-noUi-handle:after {\\n content: \"\";\\n display: block;\\n position: absolute;\\n height: 14px;\\n width: 1px;\\n background: #E8E7E6;\\n left: 14px;\\n top: 6px;\\n}\\n.bk-root .bk-noUi-handle:after {\\n left: 17px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle:before,\\n.bk-root .bk-noUi-vertical .bk-noUi-handle:after {\\n width: 14px;\\n height: 1px;\\n left: 6px;\\n top: 14px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle:after {\\n top: 17px;\\n}\\n.bk-root [disabled] .bk-noUi-connect {\\n background: #B8B8B8;\\n}\\n.bk-root [disabled].bk-noUi-target,\\n.bk-root [disabled].bk-noUi-handle,\\n.bk-root [disabled] .bk-noUi-handle {\\n cursor: not-allowed;\\n}\\n.bk-root .bk-noUi-pips,\\n.bk-root .bk-noUi-pips * {\\n -moz-box-sizing: border-box;\\n box-sizing: border-box;\\n}\\n.bk-root .bk-noUi-pips {\\n position: absolute;\\n color: #999;\\n}\\n.bk-root .bk-noUi-value {\\n position: absolute;\\n white-space: nowrap;\\n text-align: center;\\n}\\n.bk-root .bk-noUi-value-sub {\\n color: #ccc;\\n font-size: 10px;\\n}\\n.bk-root .bk-noUi-marker {\\n position: absolute;\\n background: #CCC;\\n}\\n.bk-root .bk-noUi-marker-sub {\\n background: #AAA;\\n}\\n.bk-root .bk-noUi-marker-large {\\n background: #AAA;\\n}\\n.bk-root .bk-noUi-pips-horizontal {\\n padding: 10px 0;\\n height: 80px;\\n top: 100%;\\n left: 0;\\n width: 100%;\\n}\\n.bk-root .bk-noUi-value-horizontal {\\n -webkit-transform: translate3d(-50%, 50%, 0);\\n transform: translate3d(-50%, 50%, 0);\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker {\\n margin-left: -1px;\\n width: 2px;\\n height: 5px;\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker-sub {\\n height: 10px;\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker-large {\\n height: 15px;\\n}\\n.bk-root .bk-noUi-pips-vertical {\\n padding: 0 10px;\\n height: 100%;\\n top: 0;\\n left: 100%;\\n}\\n.bk-root .bk-noUi-value-vertical {\\n -webkit-transform: translate3d(0, 50%, 0);\\n transform: translate3d(0, 50%, 0);\\n padding-left: 25px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker {\\n width: 5px;\\n height: 2px;\\n margin-top: -1px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker-sub {\\n width: 10px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker-large {\\n width: 15px;\\n}\\n.bk-root .bk-noUi-tooltip {\\n display: block;\\n position: absolute;\\n border: 1px solid #D9D9D9;\\n border-radius: 3px;\\n background: #fff;\\n color: #000;\\n padding: 5px;\\n text-align: center;\\n white-space: nowrap;\\n}\\n.bk-root .bk-noUi-horizontal .bk-noUi-tooltip {\\n -webkit-transform: translate(-50%, 0);\\n transform: translate(-50%, 0);\\n left: 50%;\\n bottom: 120%;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-tooltip {\\n -webkit-transform: translate(0, -50%);\\n transform: translate(0, -50%);\\n top: 50%;\\n right: 120%;\\n}\\n.bk-root .bk-noUi-handle {\\n cursor: grab;\\n cursor: -webkit-grab;\\n}\\n.bk-root .bk-noUi-handle.bk-noUi-active {\\n cursor: grabbing;\\n cursor: -webkit-grabbing;\\n}\\n.bk-root .bk-noUi-tooltip {\\n display: none;\\n white-space: nowrap;\\n}\\n.bk-root .bk-noUi-handle:hover .bk-noUi-tooltip {\\n display: block;\\n}\\n.bk-root .bk-noUi-horizontal {\\n width: 100%;\\n height: 10px;\\n}\\n.bk-root .bk-noUi-horizontal.bk-noUi-target {\\n margin: 5px 0px;\\n}\\n.bk-root .bk-noUi-horizontal .bk-noUi-handle {\\n width: 14px;\\n height: 18px;\\n left: -7px;\\n top: -5px;\\n}\\n.bk-root .bk-noUi-vertical {\\n width: 10px;\\n height: 100%;\\n}\\n.bk-root .bk-noUi-vertical.bk-noUi-target {\\n margin: 0px 5px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle {\\n width: 18px;\\n height: 14px;\\n left: -5px;\\n top: -7px;\\n}\\n.bk-root .bk-noUi-handle:after,\\n.bk-root .bk-noUi-handle:before {\\n display: none;\\n}\\n.bk-root .bk-noUi-connect {\\n box-shadow: none;\\n}\\n')},\n", " 400: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(157)),a=e(396);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n", " 401: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(402),n=r.__importStar(e(19));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n", " 402: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(187),a=e(66),r=s.__importStar(e(19)),l=e(441),_=e(403);class c extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.render(),this.root.compute_layout()})}_update_layout(){this.layout=new n.VariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=a.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}i.MarkupView=c,c.__name__=\"MarkupView\";class o extends l.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[r.String,\"\"],style:[r.Any,{}]})}}i.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n", " 403: function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1);e(67),n.__importStar(e(66)).styles.append('.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n content: \"\";\\n display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n clear: both;\\n}\\n'),t.bk_clearfix=\"bk-clearfix\"},\n", " 404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(378),o=e(281),_=e(66),d=n.__importStar(e(19)),l=e(8),r=e(145),c=e(252),u=e(253);class h extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}render(){super.render();const e=_.div({class:[u.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(c.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:u.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[u.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=h,h.__name__=\"DropdownView\";class p extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=h,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=p,p.__name__=\"Dropdown\",p.init_Dropdown()},\n", " 405: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(19)),s=e(441);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},l.readAsDataURL(e)})}}i.FileInputView=n,n.__name__=\"FileInputView\";class o extends s.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=n,this.define({value:[l.Any,\"\"],mime_type:[l.Any,\"\"],filename:[l.Any,\"\"],accept:[l.String,\"\"],multiple:[l.Boolean,!1]})}}i.FileInput=o,o.__name__=\"FileInput\",o.init_FileInput()},\n", " 406: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(66),l=e(8),o=e(15),r=i.__importStar(e(19)),c=e(384),h=e(385);class a extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:h.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new o.Set(this.model.value);for(const t of Array.from(this.el.querySelectorAll(\"option\")))t.selected=e.has(t.value);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of Array.from(this.el.querySelectorAll(\"option\")))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.MultiSelectView=a,a.__name__=\"MultiSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=a,this.define({value:[r.Array,[]],options:[r.Array,[]],size:[r.Number,4]})}}s.MultiSelect=d,d.__name__=\"MultiSelect\",d.init_MultiSelect()},\n", " 407: function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=a(402),p=a(66);class s extends t.MarkupView{render(){super.render();const a=p.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}r.ParagraphView=s,s.__name__=\"ParagraphView\";class i extends t.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n", " 408: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(383);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n", " 409: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=s.__importDefault(e(410)),o=e(66),n=e(8),h=s.__importStar(e(19)),c=e(385);e(411);const r=e(384);class d extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled()),this.connect(this.model.properties.max_items.change,()=>this.render()),this.connect(this.model.properties.option_limit.change,()=>this.render()),this.connect(this.model.properties.delete_button.change,()=>this.render()),this.connect(this.model.properties.placeholder.change,()=>this.render()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,i;return n.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)});this.select_el=o.select({multiple:!0,class:c.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.group_el.appendChild(this.select_el),this.render_selection();let t=\"choices__item\",i=\"choices__button\";this.model.solid?(t+=\" solid\",i+=\" solid\"):(t+=\" light\",i+=\" light\");const s={removeItemButton:this.model.delete_button,classNames:{item:t,button:i}};null!==this.model.placeholder&&(s.placeholderValue=this.model.placeholder),null!==this.model.max_items&&(s.maxItemCount=this.model.max_items),null!==this.model.option_limit&&(s.renderChoiceLimit=this.model.option_limit),this.choice_el=new l.default(this.select_el,s),this.select_el.addEventListener(\"change\",()=>this.change_input())}render_selection(){const e=new Set(this.model.value);for(const t of 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Apache Software License 2.0\n", " *\n", " * http://www.apache.org/licenses/LICENSE-2.0\n", " */\n", " e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"\",i(i.s=1)}([function(e,t){e.exports=function(e){return Array.isArray?Array.isArray(e):\"[object Array]\"===Object.prototype.toString.call(e)}},function(e,t,i){function n(e){return(n=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&\"function\"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e})(e)}function s(e,t){for(var i=0;i1&&void 0!==arguments[1]?arguments[1]:{limit:!1};this._log('---------\\nSearch pattern: \"'.concat(e,'\"'));var i=this._prepareSearchers(e),n=i.tokenSearchers,s=i.fullSearcher,r=this._search(n,s),o=r.weights,a=r.results;return this._computeScore(o,a),this.options.shouldSort&&this._sort(a),t.limit&&\"number\"==typeof t.limit&&(a=a.slice(0,t.limit)),this._format(a)}},{key:\"_prepareSearchers\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:\"\",t=[];if(this.options.tokenize)for(var i=e.split(this.options.tokenSeparator),n=0,s=i.length;n0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r1)throw new Error(\"Key weight has to be > 0 and <= 1\");p=p.name}else a[p]={weight:1};this._analyze({key:p,value:this.options.getFn(h,p),record:h,index:c},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t})}return{weights:a,results:s}}},{key:\"_analyze\",value:function(e,t){var i=e.key,n=e.arrayIndex,s=void 0===n?-1:n,r=e.value,o=e.record,c=e.index,l=t.tokenSearchers,h=void 0===l?[]:l,u=t.fullSearcher,d=void 0===u?[]:u,p=t.resultMap,m=void 0===p?{}:p,f=t.results,v=void 0===f?[]:f;if(null!=r){var g=!1,_=-1,b=0;if(\"string\"==typeof r){this._log(\"\\nKey: \".concat(\"\"===i?\"-\":i));var y=d.search(r);if(this._log('Full text: \"'.concat(r,'\", score: ').concat(y.score)),this.options.tokenize){for(var E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),e}();e.exports=a},function(e,t){var i=/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g;e.exports=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:/ +/g,s=new RegExp(t.replace(i,\"\\\\$&\").replace(n,\"|\")),r=e.match(s),o=!!r,a=[];if(o)for(var c=0,l=r.length;c=P;N-=1){var F=N-1,j=i[e.charAt(F)];if(j&&(E[F]=1),M[N]=(M[N+1]<<1|1)&j,0!==T&&(M[N]|=(O[N+1]|O[N])<<1|1|O[N+1]),M[N]&L&&(C=n(t,{errors:T,currentLocation:F,expectedLocation:v,distance:l}))<=_){if(_=C,(b=F)<=v)break;P=Math.max(1,2*v-b)}}if(n(t,{errors:T+1,currentLocation:v,expectedLocation:v,distance:l})>_)break;O=M}return{isMatch:b>=0,score:0===C?.001:C,matchedIndices:s(E,f)}}},function(e,t){e.exports=function(e,t){var i=t.errors,n=void 0===i?0:i,s=t.currentLocation,r=void 0===s?0:s,o=t.expectedLocation,a=void 0===o?0:o,c=t.distance,l=void 0===c?100:c,h=n/e.length,u=Math.abs(a-r);return l?h+u/l:u?1:h}},function(e,t){e.exports=function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,i=[],n=-1,s=-1,r=0,o=e.length;r=t&&i.push([n,s]),n=-1)}return e[r-1]&&r-n>=t&&i.push([n,r-1]),i}},function(e,t){e.exports=function(e){for(var t={},i=e.length,n=0;n/g,\"&rt;\").replace(/-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!0),i})):e;case\"REMOVE_ITEM\":return t.choiceId>-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!1),i})):e;case\"FILTER_CHOICES\":return e.map((function(e){var i=e;return i.active=t.results.some((function(e){var t=e.item,n=e.score;return t.id===i.id&&(i.score=n,!0)})),i}));case\"ACTIVATE_CHOICES\":return e.map((function(e){var i=e;return i.active=t.active,i}));case\"CLEAR_CHOICES\":return v;default:return e}},general:_}),A=function(e,t){var i=e;if(\"CLEAR_ALL\"===t.type)i=void 0;else if(\"RESET_TO\"===t.type)return O(t.state);return C(i,t)};function L(e,t){for(var i=0;i\"'+I(e)+'\"'},maxItemText:function(e){return\"Only \"+e+\" values can be added\"},valueComparer:function(e,t){return e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),\"select-one\"===this.type&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),\"select-one\"===this.type&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function oe(e,t){for(var i=0;i0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),ne&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n", " 414: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(66),o=e(25),d=n.__importStar(e(19)),s=e(390),l=e(145),r=e(385);class p extends s.InputGroupView{render(){super.render();const e=a.div({class:[r.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=o.uniqueId(),{active:t,labels:n}=this.model;for(let o=0;othis.change_active(o)),this.model.disabled&&(d.disabled=!0),o==t&&(d.checked=!0);const s=a.label({},d,a.span({},n[o]));e.appendChild(s)}}change_active(e){this.model.active=e}}t.RadioGroupView=p,p.__name__=\"RadioGroupView\";class u extends s.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=p,this.define({active:[d.Number],labels:[d.Array,[]],inline:[d.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n", " 415: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(159)),a=e(396),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n", " 416: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(66),l=e(8),o=e(70),c=i.__importStar(e(19)),d=e(384),a=e(385);class r extends d.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}build_options(e){return e.map(e=>{let t,s;l.isString(e)?t=s=e:[t,s]=e;const i=this.model.value==t;return n.option({selected:i,value:t},s)})}render(){let e;if(super.render(),l.isArray(this.model.options))e=this.build_options(this.model.options);else{e=[];const t=this.model.options;for(const s in t){const i=t[s];e.push(n.optgroup({label:s},this.build_options(i)))}}this.select_el=n.select({class:a.bk_input,id:this.model.id,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el)}change_input(){const e=this.select_el.value;o.logger.debug(`selectbox: value = ${e}`),this.model.value=e,super.change_input()}}s.SelectView=r,r.__name__=\"SelectView\";class u extends d.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=r,this.define({value:[c.String,\"\"],options:[c.Any,[]]})}}s.Select=u,u.__name__=\"Select\",u.init_Select()},\n", " 417: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(159)),o=e(396),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n", " 418: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(384),l=e(66),h=n.__importStar(e(19)),o=e(385),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n", " 419: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(383),l=e(384),h=e(66),o=s.__importStar(e(19)),a=e(385);class p extends l.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=h.textarea({class:a.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=p,p.__name__=\"TextAreaInputView\";class r extends n.TextInput{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=p,this.define({cols:[o.Number,20],rows:[o.Number,2],max_length:[o.Number,500]})}}i.TextAreaInput=r,r.__name__=\"TextAreaInput\",r.init_TextAreaInput()},\n", " 420: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(378),o=e(66),a=s.__importStar(e(19)),n=e(145);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n", " }, 376, 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{});\n", " })\n", "\n", "\n", " /* END bokeh-widgets.min.js */\n", " },\n", " \n", " function(Bokeh) {\n", " /* BEGIN bokeh-tables.min.js */\n", " /*!\n", " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", " * All rights reserved.\n", " * \n", " * Redistribution and use in source and binary forms, with or without modification,\n", " * are permitted provided that the following conditions are met:\n", " * \n", " * Redistributions of source code must retain the above copyright notice,\n", " * this list of conditions and the following disclaimer.\n", " * \n", " * Redistributions in binary form must reproduce the above copyright notice,\n", " * this list of conditions and the following disclaimer in the documentation\n", " * and/or other materials provided with the distribution.\n", " * \n", " * Neither the name of Anaconda nor the names of any contributors\n", " * may be used to endorse or promote products derived from this software\n", " * without specific prior written permission.\n", " * \n", " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", " * THE POSSIBILITY OF SUCH DAMAGE.\n", " */\n", " (function(root, factory) {\n", " factory(root[\"Bokeh\"]);\n", " })(this, function(Bokeh) {\n", " var define;\n", " return (function(modules, entry, aliases, externals) {\n", " if (Bokeh != null) {\n", " return Bokeh.register_plugin(modules, entry, aliases, externals);\n", " } else {\n", " throw new Error(\"Cannot find Bokeh. 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xyvertices_label
0-1.361570e+076.049399e+06None
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" ], "text/plain": [ " x y vertices_label\n", "0 -1.361570e+07 6.049399e+06 None\n", "1 -1.361570e+07 6.049369e+06 None\n", "2 -1.361567e+07 6.049369e+06 None\n", "3 -1.361567e+07 6.049397e+06 None" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = gv.operation.project_points(point_stream.element).dframe()\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# save tiled basemap as geotif" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "import contextily\n", "from contextily.tile import bounds2raster" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "url = \"https://mt1.google.com/vt/lyrs=s&x={x}&y={y}&z={z}\"\n", "output_file_name = 'output.tif'\n", "w, s, e, n = (lon-delta, lat-delta, lon+delta, lat+delta)\n", "\n", "img = bounds2raster(\n", " w,\n", " s,\n", " e,\n", " n,\n", " output_file_name,\n", " zoom=\"auto\",\n", " url=url,\n", " ll=True,\n", " wait=0,\n", " max_retries=100)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Driver: GTiff/GeoTIFF\n", "Files: output.tif\n", "Size is 768, 1536\n", "Coordinate System is:\n", "PROJCRS[\"WGS 84 / Pseudo-Mercator\",\n", " BASEGEOGCRS[\"WGS 84\",\n", " DATUM[\"World Geodetic System 1984\",\n", " ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n", " LENGTHUNIT[\"metre\",1]]],\n", " PRIMEM[\"Greenwich\",0,\n", " ANGLEUNIT[\"degree\",0.0174532925199433]],\n", " ID[\"EPSG\",4326]],\n", " CONVERSION[\"Popular Visualisation Pseudo-Mercator\",\n", " METHOD[\"Popular Visualisation Pseudo Mercator\",\n", " ID[\"EPSG\",1024]],\n", " PARAMETER[\"Latitude of natural origin\",0,\n", " ANGLEUNIT[\"degree\",0.0174532925199433],\n", " ID[\"EPSG\",8801]],\n", " PARAMETER[\"Longitude of natural origin\",0,\n", " ANGLEUNIT[\"degree\",0.0174532925199433],\n", " ID[\"EPSG\",8802]],\n", " PARAMETER[\"False easting\",0,\n", " LENGTHUNIT[\"metre\",1],\n", " ID[\"EPSG\",8806]],\n", " PARAMETER[\"False northing\",0,\n", " LENGTHUNIT[\"metre\",1],\n", " ID[\"EPSG\",8807]]],\n", " CS[Cartesian,2],\n", " AXIS[\"easting (X)\",east,\n", " ORDER[1],\n", " LENGTHUNIT[\"metre\",1]],\n", " AXIS[\"northing (Y)\",north,\n", " ORDER[2],\n", " LENGTHUNIT[\"metre\",1]],\n", " USAGE[\n", " SCOPE[\"unknown\"],\n", " AREA[\"World - 85°S to 85°N\"],\n", " BBOX[-85.06,-180,85.06,180]],\n", " ID[\"EPSG\",3857]]\n", "Data axis to CRS axis mapping: 1,2\n", "Origin = (-13615804.434757798910141,6049608.752921344712377)\n", "Pixel Size = (0.298582141738734,-0.298582141739341)\n", "Metadata:\n", " AREA_OR_POINT=Area\n", "Image Structure Metadata:\n", " INTERLEAVE=PIXEL\n", "Corner Coordinates:\n", "Upper Left (-13615804.435, 6049608.753) (122d18'46.27\"W, 47d39'17.10\"N)\n", "Lower Left (-13615804.435, 6049150.131) (122d18'46.27\"W, 47d39' 7.11\"N)\n", "Upper Right (-13615575.124, 6049608.753) (122d18'38.85\"W, 47d39'17.10\"N)\n", "Lower Right (-13615575.124, 6049150.131) (122d18'38.85\"W, 47d39' 7.11\"N)\n", "Center (-13615689.779, 6049379.442) (122d18'42.56\"W, 47d39'12.11\"N)\n", "Band 1 Block=768x3 Type=Byte, ColorInterp=Red\n", "Band 2 Block=768x3 Type=Byte, ColorInterp=Green\n", "Band 3 Block=768x3 Type=Byte, ColorInterp=Blue\n" ] } ], "source": [ "! gdalinfo output.tif" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# plot the geotif" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "import rasterio\n", "import matplotlib.pyplot as plt\n", "from rasterio.plot import show" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "source = rasterio.open(output_file_name)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(10, 10))\n", "show(source.read(), \n", " transform=source.transform, \n", " ax=ax)\n", "ax.ticklabel_format(useOffset=False, style='plain', axis='both')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# plot vertices on top of geotif" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "from shapely.geometry import Point, Polygon\n", "import geopandas as gpd" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "# this is the projection the tiles are returned in\n", "epsg_code = '3857'" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "geometry = [Point(xy) for xy in zip(df['x'], df['y'])]\n", "gdf = gpd.GeoDataFrame(df,geometry=geometry, crs={'init':'epsg:'+epsg_code})" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(10, 10))\n", "show(source.read(), \n", " transform=source.transform, \n", " ax=ax)\n", "ax.ticklabel_format(useOffset=False, style='plain', axis='both')\n", "gdf.plot(ax=ax, color='blue')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# plot vertices as polygon on top of raster basemap" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "vertices = []\n", "for i in range(len(df)):\n", " vertex = (df['x'][i], df['y'][i])\n", " vertices.append(vertex)\n", "polygon = Polygon(vertices)\n", "polygon_gdf = gpd.GeoDataFrame(gpd.GeoSeries(polygon), \n", " columns=['geometry'],\n", " crs={'init':'epsg:'+epsg_code}) " ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(10, 10))\n", "show(source.read(), \n", " transform=source.transform, \n", " ax=ax)\n", "ax.ticklabel_format(useOffset=False, style='plain', axis='both')\n", "gdf.plot(ax=ax, color='blue')\n", "polygon_gdf.plot(ax=ax)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# BONUS!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# get the basemap projected in UTM" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "# ! pip install utm" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "import utm" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "url = 'https://mt1.google.com/vt/lyrs=s&x={X}&y={Y}&z={Z}'\n", "\n", "u = utm.from_latlon(lat,lon)\n", "utm_lon = u[0]\n", "utm_lat = u[1]\n", "utm_zone = u[2]\n", "utm_zone_code = u[3]\n", "dx = dy = 100" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "extents = utm_lon-dx, utm_lat-dy, utm_lon+dx, utm_lat+dy\n", "tiles = gv.WMTS(url, extents=extents, crs=ccrs.UTM(utm_zone))" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "location = gv.Points([], vdims=\"location\", crs=ccrs.UTM(utm_zone))\n", "point_stream = PointDraw(source=location)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "base_map = (tiles * location).opts(gv.opts.Points(width=500, \n", " height=500, \n", " size=5, \n", " color='blue', \n", " tools=[\"hover\"]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "Task: Select the corners of a building.\n", "
" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "
\n", "
\n", "" ], "text/plain": [ "HoloViews(Overlay)" ] }, "execution_count": 27, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1167" } }, "output_type": "execute_result" } ], "source": [ "app = pn.panel(base_map)\n", "app" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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xylocation
0551668.6388225.278018e+06None
1551669.3286565.277998e+06None
2551690.7229345.277998e+06None
3551690.5740915.278015e+06None
\n", "
" ], "text/plain": [ " x y location\n", "0 551668.638822 5.278018e+06 None\n", "1 551669.328656 5.277998e+06 None\n", "2 551690.722934 5.277998e+06 None\n", "3 551690.574091 5.278015e+06 None" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "projected = gv.operation.project_points(point_stream.element, projection=ccrs.UTM(utm_zone))\n", "projected.dframe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# reproject the raster to utm and plot" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "import math" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "# function to get utm epsg code from wgs84 lon lat values\n", "def wgs_lon_lat_to_utm_epsg_code(lon, lat):\n", " utm_band = str((math.floor((lon + 180) / 6 ) % 60) + 1)\n", " if len(utm_band) == 1:\n", " utm_band = '0'+utm_band\n", " if lat >= 0:\n", " epsg_code = '326' + utm_band\n", " else:\n", " epsg_code = '327' + utm_band\n", " return epsg_code" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "epsg_code = wgs_lon_lat_to_utm_epsg_code(lon, lat)\n", "reprojected_output_file_name = 'output_EPSG_'+epsg_code+'.tif'" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "! rm {reprojected_output_file_name}" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating output file that is 783P x 1542L.\n", "Processing output.tif [1/1] : 0...10...20...30...40...50...60...70...80...90...100 - done.\n" ] } ], "source": [ "# change the projection using gdal\n", "! gdalwarp -co COMPRESS=LZW -co TILED=YES -co BIGTIFF=IF_SAFER -r cubic -t_srs EPSG:{epsg_code} {output_file_name} {reprojected_output_file_name}" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "src = rasterio.open(reprojected_output_file_name)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(10, 10))\n", "show(src.read(), \n", " transform=src.transform, \n", " ax=ax)\n", "ax.ticklabel_format(useOffset=False, style='plain', axis='both')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "Exercise

\n", "\n", "**Can you reproject and plot the vertices and ploygon on top of the UTM projected raster?**\n", "\n", "*Hint:* Geopandas has a built in function to do this. You will need to provide the correct epsg code, which you can get with the wgs_lon_lat_to_utm_epsg_code(lon, lat) function defined in this notebook.\n", "\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "See further examples at https://holoviz.org/tutorial/index.html\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:notebook] *", "language": "python", "name": "conda-env-notebook-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 4 }