{ "cells": [ { "cell_type": "markdown", "id": "d813c283", "metadata": {}, "source": [ "# Color Composites" ] }, { "cell_type": "markdown", "id": "f3b6d738", "metadata": {}, "source": [ "Remotely sensed imagery often contains data from multiple spectral bands, and multi-band color composites help us visualize that data by assigning a different color to each band. `wxee` makes it easy to generate static or interactive color composites from `xarray` datasets using the `rgb` method." ] }, { "cell_type": "markdown", "id": "0ff3b9e8", "metadata": {}, "source": [ "## Setup" ] }, { "cell_type": "markdown", "id": "d4b6aab1", "metadata": {}, "source": [ "Setup is similar to other tutorials with one exception. Interactive plots rely on [hvplot](https://github.com/holoviz/hvplot) which is an optional dependency of `wxee`, so make sure that's installed." ] }, { "cell_type": "code", "execution_count": null, "id": "26a72561", "metadata": {}, "outputs": [], "source": [ "!pip install wxee\n", "!pip install hvplot" ] }, { "cell_type": "code", "execution_count": 1, "id": "02da03f5", "metadata": { "ExecuteTime": { "end_time": "2021-11-04T02:01:46.463665Z", "start_time": "2021-11-04T02:01:43.912356Z" } }, "outputs": [], "source": [ "import ee\n", "import wxee\n", "\n", "ee.Authenticate()\n", "wxee.Initialize()" ] }, { "cell_type": "markdown", "id": "b318cedd", "metadata": {}, "source": [ "## Downloading a Dataset" ] }, { "cell_type": "markdown", "id": "17801680", "metadata": {}, "source": [ "To demonstrate the `rgb` method, we'll download a time series of multispectral data from Sentinel-2 over Spirit Lake, Washington. When Mount St. Helens erupted in 1980, trees from the surrounding forest were blown into Spirit Lake. Many of them still float there, pushed back and forth by seasonal winds. That should make for an interesting time series!" ] }, { "cell_type": "code", "execution_count": 2, "id": "23fcc040", "metadata": { "ExecuteTime": { "end_time": "2021-11-04T02:01:46.468682Z", "start_time": "2021-11-04T02:01:46.465956Z" } }, "outputs": [], "source": [ "geom = ee.Geometry.Polygon(\n", " [[[-122.18605629604276, 46.304892727612064],\n", " [-122.18605629604276, 46.243667518203395],\n", " [-122.09301582973417, 46.243667518203395],\n", " [-122.09301582973417, 46.304892727612064]]])" ] }, { "cell_type": "markdown", "id": "3f5eb362", "metadata": {}, "source": [ "First, we'll create a one-month time series of Sentinel-2 data over the lake, selecting the visible, NIR, and SWIR bands. We'll filter by cloud cover to get rid of any images that are too cloudy." ] }, { "cell_type": "code", "execution_count": 3, "id": "f570b6f3", "metadata": { "ExecuteTime": { "end_time": "2021-11-04T02:01:46.474526Z", "start_time": "2021-11-04T02:01:46.470656Z" } }, "outputs": [], "source": [ "ts = (wxee.TimeSeries(\"COPERNICUS/S2_SR\")\n", " .select([\"B4\", \"B3\", \"B2\", \"B8\", \"B11\"])\n", " .filterDate(\"2020-08\", \"2020-09\")\n", " .filterBounds(geom)\n", " .filterMetadata(\"CLOUDY_PIXEL_PERCENTAGE\", \"less_than\", 20))" ] }, { "cell_type": "markdown", "id": "9341c89a", "metadata": {}, "source": [ "And download to an `xarray` dataset at 20m resolution." ] }, { "cell_type": "code", "execution_count": 4, "id": "d12dfc4b", "metadata": { "ExecuteTime": { "end_time": "2021-11-04T02:02:05.158314Z", "start_time": "2021-11-04T02:01:47.366784Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3dad98de52bc4836b5b0a9f624b07de6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Requesting data: 0%| | 0/8 [00:00" ] }, "execution_count": 5, "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": [ "ds.wx.rgb()" ] }, { "cell_type": "markdown", "id": "dcf71761", "metadata": {}, "source": [ "Each of the 8 images in our time series if plotted, automatically faceted by the time dimension. They're a little dark and a little small, so let's fix that.\n", "\n", "### Stretching and Other Parameters\n", "\n", "The `stretch` parameter applies a percentile stretch that can make it easier to see details. Also, `rgb` accepts any keyword arguments and passes them along to the plotting function--in this case, `xarray.Dataset.plot`--so we'll use the `col_wrap` parameter to make the plots a little larger. Other parameters for the plotting function can be found [here](http://xarray.pydata.org/en/stable/generated/xarray.DataArray.plot.html)." ] }, { "cell_type": "code", "execution_count": 6, "id": "7266e73f", "metadata": { "ExecuteTime": { "end_time": "2021-11-04T02:02:06.899830Z", "start_time": "2021-11-04T02:02:06.099847Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 6, "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": [ "ds.wx.rgb(stretch=0.99, col_wrap=4)" ] }, { "cell_type": "markdown", "id": "714dcf30", "metadata": {}, "source": [ "Much better! But what bands is it using? \n", "\n", "### Specifying Band Combinations\n", "\n", "By default, the `rgb` method takes the first 3 bands in order as the red, green, and blue channels. Because we downloaded our Sentinel-2 imagery with red, green, blue, NIR, and SWIR bands (in that order), we're seeing a true color composite. We can modify that by passing a list of 3 bands to the `bands` parameter. Let's try SWIR-NIR-Red." ] }, { "cell_type": "code", "execution_count": 7, "id": "b39fec8b", "metadata": { "ExecuteTime": { "end_time": "2021-11-04T02:02:24.249061Z", "start_time": "2021-11-04T02:02:23.430351Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "bands = [\"B11\", \"B8\", \"B4\"]\n", "\n", "ds.wx.rgb(bands=bands, stretch=0.99, col_wrap=4)" ] }, { "cell_type": "markdown", "id": "a81bddc7", "metadata": {}, "source": [ "### Interactive Plots" ] }, { "cell_type": "markdown", "id": "df1ecfb4", "metadata": {}, "source": [ "So far we've just looked at static plots, but `rgb` can also create interactive plots using the `interactive` argument. With an interactive plot, additional arguments are passed to `xarray.DataAarray.hvplot.rgb`, so we no longer need `col_wrap`. Instead, we'll specify an `aspect` and a `frame_width` to change the aspect ratio and size of the plot. More details on the `hvplot` arguments can be found [here](https://hvplot.holoviz.org/reference/xarray/rgb.html). " ] }, { "cell_type": "code", "execution_count": 8, "id": "c1ee8684", "metadata": { "ExecuteTime": { "end_time": "2021-11-04T02:02:27.421204Z", "start_time": "2021-11-04T02:02:26.363870Z" } }, "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, js_modules, callback) {\n", " if (css_urls == null) css_urls = [];\n", " if (js_urls == null) js_urls = [];\n", " if (js_modules == null) js_modules = [];\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.length === 0 && js_modules.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 + js_modules.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", " var skip = [];\n", " if (window.requirejs) {\n", " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", " \n", " }\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", " for (var i = 0; i < js_modules.length; i++) {\n", " var url = js_modules[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", " element.type = \"module\";\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " if (!js_urls.length && !js_modules.length) {\n", " on_load()\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 js_modules = [];\n", " var css_urls = [];\n", " var inline_js = [\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(\".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(\".bk.alert {\\n padding: 0.75rem 1.25rem;\\n border: 1px solid transparent;\\n border-radius: 0.25rem;\\n /* Don't set margin because that will not render correctly! */\\n /* margin-bottom: 1rem; */\\n margin-top: 15px;\\n margin-bottom: 15px;\\n}\\n.bk.alert a {\\n color: rgb(11, 46, 19); /* #002752; */\\n font-weight: 700;\\n text-decoration: rgb(11, 46, 19);\\n text-decoration-color: rgb(11, 46, 19);\\n text-decoration-line: none;\\n text-decoration-style: solid;\\n text-decoration-thickness: auto;\\n }\\n.bk.alert a:hover {\\n color: rgb(11, 46, 19);\\n font-weight: 700;\\n text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n color: #004085;\\n background-color: #cce5ff;\\n border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n color: #383d41;\\n background-color: #e2e3e5;\\n border-color: #d6d8db;\\n }\\n.bk.alert-secondary hr {\\n border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n color: #155724;\\n background-color: #d4edda;\\n border-color: #c3e6cb;\\n }\\n\\n.bk.alert-success hr {\\n border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n color: #0c5460;\\n background-color: #d1ecf1;\\n border-color: #bee5eb;\\n }\\n.bk.alert-info hr {\\n border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n color: #856404;\\n background-color: #fff3cd;\\n border-color: #ffeeba;\\n }\\n\\n.bk.alert-warning hr {\\n border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n color: #721c24;\\n background-color: #f8d7da;\\n border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n color: #818182;\\n background-color: #fefefe;\\n border-color: #fdfdfe;\\n }\\n.bk.alert-light hr {\\n border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n color: #1b1e21;\\n background-color: #d6d8d9;\\n border-color: #c6c8ca;\\n }\\n.bk.alert-dark hr {\\n border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n color: #491217;\\n}\\n\\n.bk.alert-light a {\\n color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n color: #040505;\\n}\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".bk.pn-loading:before {\\n position: absolute;\\n height: 100%;\\n width: 100%;\\n content: '';\\n z-index: 1000;\\n background-color: rgb(255,255,255,0.50);\\n border-color: lightgray;\\n background-repeat: no-repeat;\\n background-position: center;\\n background-size: auto 50%;\\n border-width: 1px;\\n cursor: progress;\\n}\\n.bk.pn-loading.arcs:hover:before {\\n cursor: progress;\\n}\\n\");\n", " },\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, .panel-df th, .panel-df 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(\".bk.card {\\n border: 1px solid rgba(0,0,0,.125);\\n border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0.25rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.accordion-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0;\\n display: flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.card-button {\\n background-color: transparent;\\n margin-left: 0.5em;\\n}\\n.bk.card-header-row {\\n position: relative !important;\\n}\\n.bk.card-title {\\n align-items: center;\\n font-size: 1.4em;\\n font-weight: bold;\\n overflow-wrap: break-word;\\n}\\n.bk.card-header-row > .bk {\\n padding-right: 1.5em !important;\\n overflow-wrap: break-word;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".bk.panel-widget-box {\\n min-height: 20px;\\n background-color: #f5f5f5;\\n border: 1px solid #e3e3e3;\\n border-radius: 4px;\\n -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n overflow-x: hidden;\\n overflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n appearance: none;\\n -moz-appearance: none;\\n -webkit-appearance: none;\\n border: none;\\n height: 20px;\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n color: royalblue;\\n position: relative;\\n margin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n position: relative;\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n border-radius:3px;\\n background: linear-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\\nprogress.active:not([value])::-moz-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-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 border-radius: 3px;\\n background: linear-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 content:\\\" \\\";\\n position:absolute;\\n height: 20px;\\n top:0;\\n left:0;\\n right:0;\\n bottom:0;\\n border-radius: 3px;\\n background: linear-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.bk-root .bk.loader {\\n overflow: hidden;\\n}\\n\\n.bk.loader::after {\\n content: \\\"\\\";\\n border-radius: 50%;\\n -webkit-mask-image: radial-gradient(transparent 50%, rgba(0, 0, 0, 1) 54%);\\n width: 100%;\\n height: 100%;\\n left: 0;\\n top: 0;\\n position: absolute;\\n}\\n\\n.bk-root .bk.loader.dark::after {\\n background: #0f0f0f;\\n}\\n\\n.bk-root .bk.loader.light::after {\\n background: #f0f0f0;\\n}\\n\\n.bk-root .bk.loader.spin::after {\\n animation: spin 2s linear infinite;\\n}\\n\\n.bk-root div.bk.loader.spin.primary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #dc3545 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.warning-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.dark-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #343a40 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.primary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #dc3545 50%)\\n}\\n\\n.bk-root div.bk.loader.spin.warning-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n 0% { -webkit-transform: rotate(0deg); }\\n 100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n 0% { transform: rotate(0deg); }\\n 100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n background-color: #fff;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n background-color: #f8f9fa;\\n}\\n\\n/* Slider editor */\\n.slider-edit .bk-input-group .bk-input {\\n border: 0;\\n border-radius: 0;\\n min-height: 0;\\n padding-left: 0;\\n padding-right: 0;\\n font-weight: bold;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper {\\n display: contents;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-up {\\n top: -6px;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-down {\\n bottom: 3px;\\n}\\n\\n/* JSON Pane */\\n.bk-root .json-formatter-row .json-formatter-string, .bk-root .json-formatter-row .json-formatter-stringifiable {\\n white-space: pre-wrap;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\"\\n .bk.pn-loading.arcs:before {\\n background-image: url(\\\"data:image/svg+xml;base64,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\\\")\\n }\\n \");\n", " },\n", " function(Bokeh) {\n", " /* BEGIN bokeh.min.js */\n", " /*!\n", " * Copyright (c) 2012 - 2021, 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", " const bokeh = factory();\n", " bokeh.__bokeh__ = true;\n", " if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n", " root.Bokeh = bokeh;\n", " }\n", " const Bokeh = root.Bokeh;\n", " Bokeh[bokeh.version] = bokeh;\n", " })(this, function() {\n", " let define;\n", " const 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", " const cache = {};\n", "\n", " const normalize = function(name) {\n", " if (typeof name === \"number\")\n", " return name;\n", "\n", " if (name === \"bokehjs\")\n", " return entry;\n", "\n", " if (!externals[name]) {\n", " const prefix = \"@bokehjs/\"\n", " if (name.slice(0, prefix.length) === prefix)\n", " name = name.slice(prefix.length)\n", " }\n", "\n", " const alias = aliases[name]\n", " if (alias != null)\n", " return alias;\n", "\n", " const trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n", " const index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n", " if (index != null)\n", " return index;\n", "\n", " return name;\n", " }\n", "\n", " const require = function(name) {\n", " let mod = cache[name];\n", " if (!mod) {\n", " const 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", " const 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", "\n", " function __esModule() {\n", " Object.defineProperty(mod.exports, \"__esModule\", {value: true});\n", " }\n", "\n", " function __esExport(name, value) {\n", " Object.defineProperty(mod.exports, name, {\n", " enumerable: true, get: function () { return value; }\n", " });\n", " }\n", "\n", " modules[id].call(mod.exports, require, mod, mod.exports, __esModule, __esExport);\n", " } else {\n", " cache[name] = mod;\n", " }\n", " }\n", "\n", " return mod.exports;\n", " }\n", " require.resolve = function(name) {\n", " return \"\"\n", " }\n", "\n", " const 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 (let name in plugin_modules) {\n", " modules[name] = plugin_modules[name];\n", " }\n", "\n", " for (let name in plugin_aliases) {\n", " aliases[name] = plugin_aliases[name];\n", " }\n", "\n", " for (let name in plugin_externals) {\n", " externals[name] = plugin_externals[name];\n", " }\n", "\n", " const plugin = require(plugin_entry);\n", "\n", " for (let name in plugin) {\n", " main[name] = 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d={roots:{[e.root_id]:o},root_ids:[e.root_id],docid:n};await(0,a.defer)();const[r]=await w(t,[d]);return r},t.embed_items=async function(e,o,t,n){return await(0,a.defer)(),w(e,o,t,n)}},\n", " function _(t,_,o,r,n){r();const a=t(1);(0,a.__exportStar)(t(6),o),(0,a.__exportStar)(t(35),o)},\n", " function _(e,t,s,o,n){o();const i=e(1),r=e(7),l=e(3),a=e(19),_=e(251),c=e(14),d=e(30),h=e(15),f=e(17),u=e(31),m=e(29),g=e(9),v=e(13),p=(0,i.__importStar)(e(77)),w=e(26),b=e(8),y=e(309),k=e(75),M=e(53),j=e(396),S=e(35);class z{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new S.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=z,z.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class E{constructor(e){var t;s.documents.push(this),this._init_timestamp=Date.now(),this._resolver=null!==(t=null==e?void 0:e.resolver)&&void 0!==t?t:new r.ModelResolver,this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new z(this),this.idle=new h.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter((e=>e instanceof y.LayoutDOM))}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(a.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.event_manager.send_event(new _.DocumentReady),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e,t=null){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_finalize=t,this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&(this._interactive_plot.trigger_event(new _.LODEnd),null!=this._interactive_finalize&&this._interactive_finalize()),this._interactive_plot=null,this._interactive_timestamp=null,this._interactive_finalize=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=(0,g.copy)(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(`Somehow we didn't detach ${e}`);if(0!=this._all_models.size)throw new Error(`this._all_models still had stuff in it: ${this._all_models}`);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){a.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=p.union(e,t.references());const t=new Set(this._all_models.values()),s=p.difference(t,e),o=p.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(a.logger.debug(`Adding root: ${e}`),!(0,g.includes)(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new S.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new S.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new S.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof M.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof S.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new S.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _instantiate_object(e,t,s,o){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.get(t))(n)}static _instantiate_references_json(e,t,s){var o;const n=new Map;for(const i of e){const e=i.id,r=i.type,l=null!==(o=i.attributes)&&void 0!==o?o:{};let a=t.get(e);null==a&&(a=E._instantiate_object(e,r,l,s),null!=i.subtype&&a.set_subtype(i.subtype)),n.set(a.id,a)}return n}static _resolve_refs(e,t,s,o){function n(e){var i;if((0,f.is_ref)(e)){const o=null!==(i=t.get(e.id))&&void 0!==i?i:s.get(e.id);if(null!=o)return o;throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}if((0,u.is_NDArray_ref)(e)){const{buffer:t,dtype:s,shape:n}=(0,u.decode_NDArray)(e,o);return(0,m.ndarray)(t,{dtype:s,shape:n})}return(0,b.isArray)(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):(0,b.isPlainObject)(e)?function(e){const t={};for(const[s,o]of(0,v.entries)(e))t[s]=n(o);return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:i,attributes:r}of e){const e=!t.has(i),l=e?s.get(i):t.get(i),a=E._resolve_refs(r,t,s,o);l.setv(a,{silent:!0}),n.set(i,{instance:l,is_new:e})}const i=[],r=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!r.has(e.id)){r.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of(0,v.values)(o))l(e);s&&(t.finalize(),i.push(t))}}else if((0,b.isArray)(e))for(const t of e)l(t);else if((0,b.isPlainObject)(e))for(const t of(0,v.values)(e))l(t)}for(const e of n.values())l(e.instance);for(const e of i)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const i={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),i}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),i=Object.keys(t.attributes),r=(0,g.difference)(n,i),l=(0,g.difference)(i,n),_=(0,g.intersection)(n,i),c=[];for(const e of r)a.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(E._event_for_attribute_change(e,n,i,s,o))}for(const n of _){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(E._event_for_attribute_change(e,n,r,s,o)):(0,w.is_equal)(i,r)||c.push(E._event_for_attribute_change(e,n,r,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),a=new Map,_=[];for(const e of s.roots.root_ids)a.set(e,l.get(e)),_.push(e);if(r.sort(),_.sort(),(0,g.difference)(r,_).length>0||(0,g.difference)(_,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){a.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?a.logger.debug(o):(a.logger.warn(\"JS/Python version mismatch\"),a.logger.warn(o));const n=new r.ModelResolver;null!=e.defs&&(0,j.resolve_defs)(e.defs,n);const i=e.roots,_=i.root_ids,c=i.references,d=E._instantiate_references_json(c,new Map,n);E._initialize_references_json(c,new Map,d,new Map);const h=new E({resolver:n});for(const e of _){const t=d.get(e);null!=t&&h.add_root(t)}return h.set_title(e.title),h}replace_with_json(e){E.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){for(const t of e)if(t.document!=this)throw new Error(\"Cannot create a patch using events from a different document\");const t=new d.Serializer,s=t.to_serializable(e);for(const e of this._all_models.values())t.remove_def(e);return{events:s,references:[...t.definitions]}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,i=E._instantiate_references_json(o,this._all_models,this._resolver);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)i.set(t,s);else if(!i.has(t))throw a.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const r=new Map(this._all_models),l=new Map;for(const[e,t]of i)r.has(e)||l.set(e,t);E._initialize_references_json(o,r,l,t);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.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=E._resolve_refs(o,r,l,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const i=e.attr,a=E._resolve_refs(e.new,r,l,t);n.setv({[i]:a},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const i=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in i||(i[e]=n.data[e]);n.setv({data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof k.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,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=i.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=i.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(`Unknown patch event ${JSON.stringify(e)}`)}}}s.Document=E,E.__name__=\"Document\"},\n", " function _(e,o,s,r,t){r();const l=e(1),i=e(8),d=e(13),n=e(14);s.overrides={};const a=new Map;s.Models=e=>{const o=s.Models.get(e);if(null!=o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)},s.Models.get=e=>{var o;return null!==(o=s.overrides[e])&&void 0!==o?o:a.get(e)},s.Models.register=(e,o)=>{s.overrides[e]=o},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,o=!1,s)=>{var r;if(null!=e)for(const t of(0,i.isArray)(e)?e:(0,d.values)(e))if(r=t,(0,i.isObject)(r)&&r.prototype instanceof n.HasProps){const e=t.__qualified__;o||!a.has(e)?a.set(e,t):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>[...a.keys()];class _{constructor(){this._known_models=new Map}get(e,o){var r;const t=null!==(r=s.Models.get(e))&&void 0!==r?r:this._known_models.get(e);if(null!=t)return t;if(void 0!==o)return o;throw new Error(`Model '${e}' does not exist. 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Set]\":return this.sets(t,e);case\"[object Object]\":if(t.constructor==e.constructor&&(null==t.constructor||t.constructor===Object))return this.objects(t,e);case\"[object Function]\":if(t.constructor==e.constructor&&t.constructor===Function)return this.eq(`${t}`,`${e}`)}if(t instanceof Node)return this.nodes(t,e);throw Error(`can't compare objects of type ${n}`)})();return s.pop(),o.pop(),u}numbers(t,e){return Object.is(t,e)}arrays(t,e){const{length:r}=t;if(r!=e.length)return!1;for(let n=0;n{const n=navigator.userAgent;return n.includes(\"MSIE\")||n.includes(\"Trident\")||n.includes(\"Edge\")})(),e.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),e.is_little_endian=(()=>{const n=new ArrayBuffer(4),i=new Uint8Array(n);new Uint32Array(n)[1]=168496141;let e=!0;return 10==i[4]&&11==i[5]&&12==i[6]&&13==i[7]&&(e=!1),e})(),e.BYTE_ORDER=e.is_little_endian?\"little\":\"big\",e.to_big_endian=function(n){if(e.is_little_endian){const i=new 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Uint16Array{constructor(e,s){super(e),this[l]=!0,this.dtype=\"uint16\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>f.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>f.prototype[q.serialize].call(this,e))}[(l=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Uint16NDArray=f,f.__name__=\"Uint16NDArray\";class m extends Int16Array{constructor(e,s){super(e),this[h]=!0,this.dtype=\"int16\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>m.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>m.prototype[q.serialize].call(this,e))}[(h=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Int16NDArray=m,m.__name__=\"Int16NDArray\";class g extends Uint32Array{constructor(e,s){super(e),this[u]=!0,this.dtype=\"uint32\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>g.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>g.prototype[q.serialize].call(this,e))}[(u=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Uint32NDArray=g,g.__name__=\"Uint32NDArray\";class I extends Int32Array{constructor(e,s){super(e),this[o]=!0,this.dtype=\"int32\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>I.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>I.prototype[q.serialize].call(this,e))}[(o=z,A.equals)](e,s){return 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d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}[i.serialize](e){const t=this.msg_data,s=e.to_serializable(t);return{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=l,l.__name__=\"MessageSentEvent\";class _ extends d{constructor(e,t,s,n,o,i,r){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=i,this.hint=r}[i.serialize](e){if(null!=this.hint)return e.to_serializable(this.hint);const t=this.new_,s=e.to_serializable(t);return this.model!=t&&e.remove_def(this.model),{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=_,_.__name__=\"ModelChangedEvent\";class c extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}[i.serialize](e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=c,c.__name__=\"ColumnsPatchedEvent\";class h extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}[i.serialize](e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=h,h.__name__=\"ColumnsStreamedEvent\";class m extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}[i.serialize](e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=m,m.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}[i.serialize](e){return{kind:\"RootAdded\",model:e.to_serializable(this.model)}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class v extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}[i.serialize](e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=v,v.__name__=\"RootRemovedEvent\"},\n", " function _(t,i,r,n,s){n();const e=t(8),o=t(13);r.pretty=Symbol(\"pretty\");class c{constructor(t){this.visited=new 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t.disconnect(e,this)}initialize(){this._has_finished=!1,this.is_root&&(this._stylesheet=r.stylesheet);for(const t of this.styles())this.stylesheet.append(t)}async lazy_initialize(){}remove(){this.disconnect_signals(),this.removed.emit()}toString(){return`${this.model.type}View(${this.model.id})`}serializable_state(){return{type:this.model.type}}get is_root(){return null==this.parent}has_finished(){return this._has_finished}get is_idle(){return this.has_finished()}connect_signals(){}disconnect_signals(){h.Signal.disconnect_receiver(this)}on_change(t,e){for(const s of(0,l.isArray)(t)?t:[t])this.connect(s.change,e)}cursor(t,e){return null}get stylesheet(){return this.is_root?this._stylesheet:this.root.stylesheet}styles(){return[_.default]}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()}}s.View=d,d.__name__=\"View\"},\n", " function 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r(t)(e,...n)},n.div=r(\"div\"),n.span=r(\"span\"),n.canvas=r(\"canvas\"),n.link=r(\"link\"),n.style=r(\"style\"),n.a=r(\"a\"),n.p=r(\"p\"),n.i=r(\"i\"),n.pre=r(\"pre\"),n.button=r(\"button\"),n.label=r(\"label\"),n.input=r(\"input\"),n.select=r(\"select\"),n.option=r(\"option\"),n.optgroup=r(\"optgroup\"),n.textarea=r(\"textarea\"),n.createSVGElement=function(t,e,...n){const i=document.createElementNS(\"http://www.w3.org/2000/svg\",t);for(const[t,n]of(0,l.entries)(null!=e?e:{}))null==n||(0,s.isBoolean)(n)&&!n||i.setAttribute(t,n);function o(t){if((0,s.isString)(t))i.appendChild(document.createTextNode(t));else if(t instanceof Node)i.appendChild(t);else if(t instanceof NodeList||t instanceof HTMLCollection)for(const e of t)i.appendChild(e);else if(null!=t&&!1!==t)throw new Error(`expected a DOM element, string, false or null, got ${JSON.stringify(t)}`)}for(const t of n)if((0,s.isArray)(t))for(const e of t)o(e);else o(t);return i},n.nbsp=function(){return document.createTextNode(\"\\xa0\")},n.append=function(t,...e){for(const n of e)t.appendChild(n)},n.remove=a,n.removeElement=a,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=c,n.empty=function(t,e=!1){let n;for(;n=t.firstChild;)t.removeChild(n);if(e&&t instanceof Element)for(const e of t.attributes)t.removeAttributeNode(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){const e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=d,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(d(n,e))return n;return null},n.extents=f,n.size=u,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=f(t),{width:s,height:l}=u(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=f(t);let o=0,s=0;for(const l of t.children){const t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=`${e.x}px`,i.top=`${e.y}px`,i.width=`${e.width}px`,i.height=`${e.height}px`,null==n)i.margin=\"\";else{const{top:t,right:e,bottom:o,left:s}=n;i.margin=`${t}px ${e}px ${o}px ${s}px`}},n.children=function(t){return Array.from(t.children)};class p{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e{document.addEventListener(\"DOMContentLoaded\",(()=>t()),{once:!0})}))}},\n", " function _(o,i,t,e,r){e(),t.root=\"bk-root\",t.default=\".bk-root{position:relative;width:auto;height:auto;box-sizing:border-box;font-family:Helvetica, Arial, sans-serif;font-size:13px;}.bk-root .bk,.bk-root .bk:before,.bk-root .bk:after{box-sizing:inherit;margin:0;border:0;padding:0;background-image:none;font-family:inherit;font-size:100%;line-height:1.42857143;}.bk-root pre.bk{font-family:Courier, monospace;}\"},\n", " function _(e,t,r,a,c){a();const l=e(1),n=e(46);c(\"Line\",n.Line),c(\"LineScalar\",n.LineScalar),c(\"LineVector\",n.LineVector);const i=e(49);c(\"Fill\",i.Fill),c(\"FillScalar\",i.FillScalar),c(\"FillVector\",i.FillVector);const s=e(50);c(\"Text\",s.Text),c(\"TextScalar\",s.TextScalar),c(\"TextVector\",s.TextVector);const o=e(51);c(\"Hatch\",o.Hatch),c(\"HatchScalar\",o.HatchScalar),c(\"HatchVector\",o.HatchVector);const u=(0,l.__importStar)(e(48)),V=e(47);c(\"VisualProperties\",V.VisualProperties),c(\"VisualUniforms\",V.VisualUniforms);class h{constructor(e){this._visuals=[];for(const[t,r]of e.model._mixins){const a=(()=>{switch(r){case u.Line:return new n.Line(e,t);case u.LineScalar:return new n.LineScalar(e,t);case u.LineVector:return new n.LineVector(e,t);case u.Fill:return new i.Fill(e,t);case u.FillScalar:return new i.FillScalar(e,t);case u.FillVector:return new i.FillVector(e,t);case u.Text:return new s.Text(e,t);case u.TextScalar:return new s.TextScalar(e,t);case u.TextVector:return new s.TextVector(e,t);case u.Hatch:return new o.Hatch(e,t);case u.HatchScalar:return new o.HatchScalar(e,t);case u.HatchVector:return new o.HatchVector(e,t);default:throw new Error(\"unknown visual\")}})();this._visuals.push(a),Object.defineProperty(this,t+a.type,{get:()=>a,configurable:!1,enumerable:!0})}}*[Symbol.iterator](){yield*this._visuals}}r.Visuals=h,h.__name__=\"Visuals\"},\n", " function _(e,t,i,l,s){l();const a=e(1),n=e(47),h=(0,a.__importStar)(e(48)),o=e(22),_=e(8);function r(e){if((0,_.isArray)(e))return e;switch(e){case\"solid\":return[];case\"dashed\":return[6];case\"dotted\":return[2,4];case\"dotdash\":return[2,4,6,4];case\"dashdot\":return[6,4,2,4];default:return e.split(\" \").map(Number).filter(_.isInteger)}}i.resolve_line_dash=r;class u extends n.VisualProperties{get doit(){const e=this.line_color.get_value(),t=this.line_alpha.get_value(),i=this.line_width.get_value();return!(null==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.get_value(),alpha:this.line_alpha.get_value(),width:this.line_width.get_value(),join:this.line_join.get_value(),cap:this.line_cap.get_value(),dash:this.line_dash.get_value(),offset:this.line_dash_offset.get_value()}}set_value(e){const t=this.line_color.get_value(),i=this.line_alpha.get_value();e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.get_value(),e.lineJoin=this.line_join.get_value(),e.lineCap=this.line_cap.get_value(),e.lineDash=r(this.line_dash.get_value()),e.lineDashOffset=this.line_dash_offset.get_value()}}i.Line=u,u.__name__=\"Line\";class c extends n.VisualUniforms{get doit(){const e=this.line_color.value,t=this.line_alpha.value,i=this.line_width.value;return!(0==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.value,alpha:this.line_alpha.value,width:this.line_width.value,join:this.line_join.value,cap:this.line_cap.value,dash:this.line_dash.value,offset:this.line_dash_offset.value}}set_value(e){const t=this.line_color.value,i=this.line_alpha.value;e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.value,e.lineJoin=this.line_join.value,e.lineCap=this.line_cap.value,e.lineDash=r(this.line_dash.value),e.lineDashOffset=this.line_dash_offset.value}}i.LineScalar=c,c.__name__=\"LineScalar\";class d extends n.VisualUniforms{get doit(){const{line_color:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{line_alpha:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{line_width:i}=this;return!i.is_Scalar()||0!=i.value}apply(e,t){const{doit:i}=this;return i&&(this.set_vectorize(e,t),e.stroke()),i}values(e){return{color:this.line_color.get(e),alpha:this.line_alpha.get(e),width:this.line_width.get(e),join:this.line_join.get(e),cap:this.line_cap.get(e),dash:this.line_dash.get(e),offset:this.line_dash_offset.get(e)}}set_vectorize(e,t){const i=this.line_color.get(t),l=this.line_alpha.get(t),s=this.line_width.get(t),a=this.line_join.get(t),n=this.line_cap.get(t),h=this.line_dash.get(t),_=this.line_dash_offset.get(t);e.strokeStyle=(0,o.color2css)(i,l),e.lineWidth=s,e.lineJoin=a,e.lineCap=n,e.lineDash=r(h),e.lineDashOffset=_}}i.LineVector=d,d.__name__=\"LineVector\",u.prototype.type=\"line\",u.prototype.attrs=Object.keys(h.Line),c.prototype.type=\"line\",c.prototype.attrs=Object.keys(h.LineScalar),d.prototype.type=\"line\",d.prototype.attrs=Object.keys(h.LineVector)},\n", " function _(t,s,o,i,r){i();class e{constructor(t,s=\"\"){this.obj=t,this.prefix=s;const o=this;this._props=[];for(const i of this.attrs){const r=t.model.properties[s+i];r.change.connect((()=>this.update())),o[i]=r,this._props.push(r)}this.update()}*[Symbol.iterator](){yield*this._props}update(){}}o.VisualProperties=e,e.__name__=\"VisualProperties\";class p{constructor(t,s=\"\"){this.obj=t,this.prefix=s;for(const o of this.attrs)Object.defineProperty(this,o,{get:()=>t[s+o]})}*[Symbol.iterator](){for(const t of this.attrs)yield this.obj.model.properties[this.prefix+t]}update(){}}o.VisualUniforms=p,p.__name__=\"VisualUniforms\"},\n", " function _(e,l,t,a,c){a();const r=e(1),o=(0,r.__importStar)(e(18)),n=e(20),i=(0,r.__importStar)(e(21)),_=e(13);t.Line={line_color:[i.Nullable(i.Color),\"black\"],line_alpha:[i.Alpha,1],line_width:[i.Number,1],line_join:[n.LineJoin,\"bevel\"],line_cap:[n.LineCap,\"butt\"],line_dash:[i.Or(n.LineDash,i.Array(i.Number)),[]],line_dash_offset:[i.Number,0]},t.Fill={fill_color:[i.Nullable(i.Color),\"gray\"],fill_alpha:[i.Alpha,1]},t.Hatch={hatch_color:[i.Nullable(i.Color),\"black\"],hatch_alpha:[i.Alpha,1],hatch_scale:[i.Number,12],hatch_pattern:[i.Nullable(i.Or(n.HatchPatternType,i.String)),null],hatch_weight:[i.Number,1],hatch_extra:[i.Dict(i.AnyRef()),{}]},t.Text={text_color:[i.Nullable(i.Color),\"#444444\"],text_alpha:[i.Alpha,1],text_font:[o.Font,\"helvetica\"],text_font_size:[i.FontSize,\"16px\"],text_font_style:[n.FontStyle,\"normal\"],text_align:[n.TextAlign,\"left\"],text_baseline:[n.TextBaseline,\"bottom\"],text_line_height:[i.Number,1.2]},t.LineScalar={line_color:[o.ColorScalar,\"black\"],line_alpha:[o.NumberScalar,1],line_width:[o.NumberScalar,1],line_join:[o.LineJoinScalar,\"bevel\"],line_cap:[o.LineCapScalar,\"butt\"],line_dash:[o.LineDashScalar,[]],line_dash_offset:[o.NumberScalar,0]},t.FillScalar={fill_color:[o.ColorScalar,\"gray\"],fill_alpha:[o.NumberScalar,1]},t.HatchScalar={hatch_color:[o.ColorScalar,\"black\"],hatch_alpha:[o.NumberScalar,1],hatch_scale:[o.NumberScalar,12],hatch_pattern:[o.NullStringScalar,null],hatch_weight:[o.NumberScalar,1],hatch_extra:[o.AnyScalar,{}]},t.TextScalar={text_color:[o.ColorScalar,\"#444444\"],text_alpha:[o.NumberScalar,1],text_font:[o.FontScalar,\"helvetica\"],text_font_size:[o.FontSizeScalar,\"16px\"],text_font_style:[o.FontStyleScalar,\"normal\"],text_align:[o.TextAlignScalar,\"left\"],text_baseline:[o.TextBaselineScalar,\"bottom\"],text_line_height:[o.NumberScalar,1.2]},t.LineVector={line_color:[o.ColorSpec,\"black\"],line_alpha:[o.NumberSpec,1],line_width:[o.NumberSpec,1],line_join:[o.LineJoinSpec,\"bevel\"],line_cap:[o.LineCapSpec,\"butt\"],line_dash:[o.LineDashSpec,[]],line_dash_offset:[o.NumberSpec,0]},t.FillVector={fill_color:[o.ColorSpec,\"gray\"],fill_alpha:[o.NumberSpec,1]},t.HatchVector={hatch_color:[o.ColorSpec,\"black\"],hatch_alpha:[o.NumberSpec,1],hatch_scale:[o.NumberSpec,12],hatch_pattern:[o.NullStringSpec,null],hatch_weight:[o.NumberSpec,1],hatch_extra:[o.AnyScalar,{}]},t.TextVector={text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_font:[o.FontSpec,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"16px\"],text_font_style:[o.FontStyleSpec,\"normal\"],text_align:[o.TextAlignSpec,\"left\"],text_baseline:[o.TextBaselineSpec,\"bottom\"],text_line_height:[o.NumberSpec,1.2]},t.attrs_of=function(e,l,t,a=!1){const c={};for(const r of(0,_.keys)(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n", " function _(l,t,e,i,s){i();const a=l(1),o=l(47),r=(0,a.__importStar)(l(48)),_=l(22);class c extends o.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.get_value(),alpha:this.fill_alpha.get_value()}}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=(0,_.color2css)(t,e)}}e.Fill=c,c.__name__=\"Fill\";class h extends o.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.value,alpha:this.fill_alpha.value}}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=(0,_.color2css)(t,e)}}e.FillScalar=h,h.__name__=\"FillScalar\";class u extends o.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}apply(l,t,e){const{doit:i}=this;return i&&(this.set_vectorize(l,t),l.fill(e)),i}values(l){return{color:this.fill_color.get(l),alpha:this.fill_alpha.get(l)}}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=(0,_.color2css)(e,i)}}e.FillVector=u,u.__name__=\"FillVector\",c.prototype.type=\"fill\",c.prototype.attrs=Object.keys(r.Fill),h.prototype.type=\"fill\",h.prototype.attrs=Object.keys(r.FillScalar),u.prototype.type=\"fill\",u.prototype.attrs=Object.keys(r.FillVector)},\n", " function _(t,e,l,s,_){s();const i=t(1),a=t(47),o=(0,i.__importStar)(t(48)),n=t(22);class h extends a.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}values(){return{color:this.text_color.get_value(),alpha:this.text_alpha.get_value(),font:this.text_font.get_value(),font_size:this.text_font_size.get_value(),font_style:this.text_font_style.get_value(),align:this.text_align.get_value(),baseline:this.text_baseline.get_value(),line_height:this.text_line_height.get_value()}}set_value(t){const e=this.text_color.get_value(),l=this.text_alpha.get_value();t.fillStyle=(0,n.color2css)(e,l),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}l.Text=h,h.__name__=\"Text\";class x extends a.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}values(){return{color:this.text_color.value,alpha:this.text_alpha.value,font:this.text_font.value,font_size:this.text_font_size.value,font_style:this.text_font_style.value,align:this.text_align.value,baseline:this.text_baseline.value,line_height:this.text_line_height.value}}set_value(t){const e=this.text_color.value,l=this.text_alpha.value,s=this.font_value(),_=this.text_align.value,i=this.text_baseline.value;t.fillStyle=(0,n.color2css)(e,l),t.font=s,t.textAlign=_,t.textBaseline=i}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}l.TextScalar=x,x.__name__=\"TextScalar\";class u extends a.VisualUniforms{values(t){return{color:this.text_color.get(t),alpha:this.text_alpha.get(t),font:this.text_font.get(t),font_size:this.text_font_size.get(t),font_style:this.text_font_style.get(t),align:this.text_align.get(t),baseline:this.text_baseline.get(t),line_height:this.text_line_height.get(t)}}get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const l=this.text_color.get(e),s=this.text_alpha.get(e),_=this.font_value(e),i=this.text_align.get(e),a=this.text_baseline.get(e);t.fillStyle=(0,n.color2css)(l,s),t.font=_,t.textAlign=i,t.textBaseline=a}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}l.TextVector=u,u.__name__=\"TextVector\",h.prototype.type=\"text\",h.prototype.attrs=Object.keys(o.Text),x.prototype.type=\"text\",x.prototype.attrs=Object.keys(o.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(o.TextVector)},\n", " function _(t,e,a,r,i){r();const h=t(1),s=t(47),n=t(52),c=(0,h.__importStar)(t(18)),_=(0,h.__importStar)(t(48));class l extends s.VisualProperties{constructor(){super(...arguments),this._update_iteration=0}update(){if(this._update_iteration++,this._hatch_image=null,!this.doit)return;const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_scale.get_value(),r=this.hatch_pattern.get_value(),i=this.hatch_weight.get_value(),h=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[r];if(null!=s){const r=s.get_pattern(t,e,a,i);if(r instanceof Promise){const{_update_iteration:t}=this;r.then((e=>{this._update_iteration==t&&(h(e),this.obj.request_render())}))}else h(r)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,r,t,e,a,i);h(c)}}get doit(){const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_pattern.get_value();return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){const e=this.pattern(t);t.fillStyle=null!=e?e:\"transparent\"}pattern(t){const e=this._hatch_image;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.get_value(),e=this.hatch_extra.get_value()[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.Hatch=l,l.__name__=\"Hatch\";class o extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const t=this.hatch_color.value,e=this.hatch_alpha.value,a=this.hatch_pattern.value;return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=this.hatch_color.value,a=this.hatch_alpha.value,r=this.hatch_scale.value,i=this.hatch_pattern.value,h=this.hatch_weight.value,s=e=>{this._hatch_image=new c.UniformScalar(e,t)},_=this.hatch_extra.value[i];if(null!=_){const t=_.get_pattern(e,a,r,h);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(s(t),this.obj.request_render())}))}else s(t)}else{const t=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(t,i,e,a,r,h);s(c)}}get doit(){return this._static_doit}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){var e;t.fillStyle=null!==(e=this.pattern(t))&&void 0!==e?e:\"transparent\"}pattern(t){const e=this._hatch_image.value;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.value,e=this.hatch_extra.value[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchScalar=o,o.__name__=\"HatchScalar\";class u extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const{hatch_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{hatch_alpha:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{hatch_pattern:a}=this;if(a.is_Scalar()){const t=a.value;if(\" \"==t||\"blank\"==t||null==t)return!1}return!0}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,r,i,h)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,r,i);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(h(t),this.obj.request_render())}))}else h(t)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,t,e,a,r,i);h(c)}};if(this.hatch_color.is_Scalar()&&this.hatch_alpha.is_Scalar()&&this.hatch_scale.is_Scalar()&&this.hatch_pattern.is_Scalar()&&this.hatch_weight.is_Scalar()){const a=this.hatch_color.value,r=this.hatch_alpha.value,i=this.hatch_scale.value;e(this.hatch_pattern.value,a,r,i,this.hatch_weight.value,(e=>{this._hatch_image=new c.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new c.UniformVector(a);for(let r=0;r{a[r]=t}))}}}get doit(){return this._static_doit}apply(t,e,a){const{doit:r}=this;return r&&(this.set_vectorize(t,e),t.layer.undo_transform((()=>t.fill(a)))),r}set_vectorize(t,e){var a;t.fillStyle=null!==(a=this.pattern(t,e))&&void 0!==a?a:\"transparent\"}pattern(t,e){const a=this._hatch_image.get(e);return null==a?null:t.createPattern(a,this.repetition(e))}repetition(t){const e=this.hatch_pattern.get(t),a=this.hatch_extra.value[e];if(null==a)return\"repeat\";switch(a.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchVector=u,u.__name__=\"HatchVector\",l.prototype.type=\"hatch\",l.prototype.attrs=Object.keys(_.Hatch),o.prototype.type=\"hatch\",o.prototype.attrs=Object.keys(_.HatchScalar),u.prototype.type=\"hatch\",u.prototype.attrs=Object.keys(_.HatchVector)},\n", " function _(e,o,a,s,r){s();const i=e(22);function l(e,o,a){e.moveTo(0,a+.5),e.lineTo(o,a+.5),e.stroke()}function n(e,o,a){e.moveTo(a+.5,0),e.lineTo(a+.5,o),e.stroke()}function t(e,o){e.moveTo(0,o),e.lineTo(o,0),e.stroke(),e.moveTo(0,0),e.lineTo(o,o),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"},a.get_pattern=function(e,o,s,r,c,k){return e.resize(c,c),e.prepare(),function(e,o,s,r,c,k){var _;const T=c,v=T/2,h=v/2,d=(0,i.color2css)(s,r);switch(e.strokeStyle=d,e.fillStyle=d,e.lineCap=\"square\",e.lineWidth=k,null!==(_=a.hatch_aliases[o])&&void 0!==_?_:o){case\"blank\":break;case\"dot\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.fill();break;case\"ring\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.stroke();break;case\"horizontal_line\":l(e,T,v);break;case\"vertical_line\":n(e,T,v);break;case\"cross\":l(e,T,v),n(e,T,v);break;case\"horizontal_dash\":l(e,v,v);break;case\"vertical_dash\":n(e,v,v);break;case\"spiral\":{const o=T/30;e.moveTo(v,v);for(let a=0;a<360;a++){const s=.1*a,r=v+o*s*Math.cos(s),i=v+o*s*Math.sin(s);e.lineTo(r,i)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-h,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(5*h+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(h+.5,T),e.lineTo(.5-h,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(5*h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":t(e,T);break;case\"right_diagonal_dash\":e.moveTo(h+.5,3*h+.5),e.lineTo(3*h+.5,h+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(h+.5,h+.5),e.lineTo(3*h+.5,3*h+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,h),e.lineTo(v,3*h),e.lineTo(T,h),e.stroke();break;case\"vertical_wave\":e.moveTo(h,0),e.lineTo(3*h,v),e.lineTo(h,T),e.stroke();break;case\"criss_cross\":t(e,T),l(e,T,v),n(e,T,v)}}(e.ctx,o,s,r,c,k),e.canvas}},\n", " function _(e,t,s,n,c){var a;n();const i=e(14),r=e(8),l=e(13),o=e(26),_=e(19);class h extends i.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}[o.equals](e,t){return t.eq(this.id,e.id)&&super[o.equals](e,t)}initialize(){super.initialize(),this._js_callbacks=new Map}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){var t;for(const s of null!==(t=this.js_event_callbacks[e.event_name])&&void 0!==t?t:[])s.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):_.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,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of(0,l.entries)(this.js_property_callbacks)){const n=s.map((e=>()=>e.execute(this)));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){(0,l.isEmpty)(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if((0,r.isString)(e))return[...this.references()].filter((t=>t instanceof h&&t.name===e));if(e.prototype instanceof i.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=h,a=h,h.__name__=\"Model\",a.define((({Any:e,Unknown:t,Boolean:s,String:n,Array:c,Dict:a,Nullable:i})=>({tags:[c(t),[]],name:[i(n),null],js_property_callbacks:[a(c(e)),{}],js_event_callbacks:[a(c(e)),{}],subscribed_events:[c(n),[]],syncable:[s,!0]})))},\n", " function _(e,t,s,a,r){var c,n;a();const _=e(12),o=e(53),i=e(55),l=e(59),u=e(61),g=e(62),h=e(57),p=e(63),m=e(67);class x{constructor(e,t){this.x_scale=e,this.y_scale=t,this.x_source=this.x_scale.source_range,this.y_source=this.y_scale.source_range,this.ranges=[this.x_source,this.y_source],this.scales=[this.x_scale,this.y_scale]}map_to_screen(e,t){return[this.x_scale.v_compute(e),this.y_scale.v_compute(t)]}map_from_screen(e,t){return[this.x_scale.v_invert(e),this.y_scale.v_invert(t)]}}s.CoordinateTransform=x,x.__name__=\"CoordinateTransform\";class y extends o.Model{constructor(e){super(e)}get x_ranges(){return new Map([[\"default\",this.x_source]])}get y_ranges(){return new Map([[\"default\",this.y_source]])}_get_scale(e,t,s){if(e instanceof m.FactorRange!=t instanceof g.CategoricalScale)throw new Error(`Range ${e.type} is incompatible is Scale ${t.type}`);t instanceof u.LogScale&&e instanceof p.DataRange1d&&(e.scale_hint=\"log\");const a=t.clone();return a.setv({source_range:e,target_range:s}),a}get_transform(e){const{x_source:t,x_scale:s,x_target:a}=this,r=this._get_scale(t,s,a),{y_source:c,y_scale:n,y_target:_}=this,o=this._get_scale(c,n,_),i=new v({source_scale:r,source_range:r.source_range,target_scale:e.x_scale,target_range:e.x_target}),l=new v({source_scale:o,source_range:o.source_range,target_scale:e.y_scale,target_range:e.y_target});return new x(i,l)}}s.CoordinateMapping=y,c=y,y.__name__=\"CoordinateMapping\",c.define((({Ref:e})=>({x_source:[e(h.Range),()=>new p.DataRange1d],y_source:[e(h.Range),()=>new p.DataRange1d],x_scale:[e(i.Scale),()=>new l.LinearScale],y_scale:[e(i.Scale),()=>new l.LinearScale],x_target:[e(h.Range)],y_target:[e(h.Range)]})));class v extends i.Scale{constructor(e){super(e)}get s_compute(){const e=this.source_scale.s_compute,t=this.target_scale.s_compute;return s=>t(e(s))}get s_invert(){const e=this.source_scale.s_invert,t=this.target_scale.s_invert;return s=>e(t(s))}compute(e){return this.s_compute(e)}v_compute(e){const{s_compute:t}=this;return(0,_.map)(e,t)}invert(e){return this.s_invert(e)}v_invert(e){const{s_invert:t}=this;return(0,_.map)(e,t)}}s.CompositeScale=v,n=v,v.__name__=\"CompositeScale\",n.internal((({Ref:e})=>({source_scale:[e(i.Scale)],target_scale:[e(i.Scale)]})))},\n", " function _(e,t,r,n,s){var _;n();const a=e(56),c=e(57),o=e(58),i=e(24);class u extends a.Transform{constructor(e){super(e)}compute(e){return this.s_compute(e)}v_compute(e){const t=new i.ScreenArray(e.length),{s_compute:r}=this;for(let n=0;n({source_range:[e(c.Range)],target_range:[e(o.Range1d)]})))},\n", " function _(n,s,o,r,c){r();const e=n(53);class t extends e.Model{constructor(n){super(n)}}o.Transform=t,t.__name__=\"Transform\"},\n", " function _(e,t,n,i,s){var r;i();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}get span(){return Math.abs(this.end-this.start)}}n.Range=l,r=l,l.__name__=\"Range\",r.define((({Number:e,Tuple:t,Or:n,Auto:i,Nullable:s})=>({bounds:[s(n(t(s(e),s(e)),i)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),r.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))},\n", " function _(t,e,s,n,r){var a;n();const i=t(57);class _ extends i.Range{constructor(t){super(t)}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this._reset_start,this._reset_end),e=Math.max(this._reset_start,this._reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds();const{_reset_start:t,_reset_end:e}=this;this.start!=t||this.end!=e?this.setv({start:t,end:e}):this.change.emit()}map(t){return new _({start:t(this.start),end:t(this.end)})}widen(t){let{start:e,end:s}=this;return this.is_reversed?(e+=t,s-=t):(e-=t,s+=t),new _({start:e,end:s})}}s.Range1d=_,a=_,_.__name__=\"Range1d\",a.define((({Number:t,Nullable:e})=>({start:[t,0],end:[t,1],reset_start:[e(t),null,{on_update(t,e){e._reset_start=null!=t?t:e.start}}],reset_end:[e(t),null,{on_update(t,e){e._reset_end=null!=t?t:e.end}}]})))},\n", " function _(t,e,n,r,s){r();const a=t(60);class _ extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e]=this._linear_compute_state();return n=>t*n+e}get s_invert(){const[t,e]=this._linear_compute_state();return n=>(n-e)/t}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,n=this.target_range.start,r=(this.target_range.end-n)/(e-t);return[r,-r*t+n]}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n", " function _(n,c,o,s,e){s();const t=n(55);class u extends t.Scale{constructor(n){super(n)}}o.ContinuousScale=u,u.__name__=\"ContinuousScale\"},\n", " function _(t,e,a,o,s){o();const r=t(60);class n extends r.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,a,o]=this._compute_state();return s=>{if(0==a)return 0;{const r=(Math.log(s)-o)/a;return isFinite(r)?r*t+e:NaN}}}get s_invert(){const[t,e,a,o]=this._compute_state();return s=>{const r=(s-e)/t;return Math.exp(a*r+o)}}_get_safe_factor(t,e){let a=t<0?0:t,o=e<0?0:e;if(a==o)if(0==a)[a,o]=[1,10];else{const t=Math.log(a)/Math.log(10);a=10**Math.floor(t),o=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[a,o]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,a=this.target_range.start,o=this.target_range.end-a,[s,r]=this._get_safe_factor(t,e);let n,c;0==s?(n=Math.log(r),c=0):(n=Math.log(r)-Math.log(s),c=Math.log(s));return[o,a,n,c]}}a.LogScale=n,n.__name__=\"LogScale\"},\n", " function _(t,e,c,a,s){a();const n=t(55),r=t(59),{_linear_compute_state:o}=r.LinearScale.prototype;class l extends n.Scale{constructor(t){super(t)}get s_compute(){const[t,e]=o.call(this),c=this.source_range;return a=>t*c.synthetic(a)+e}get s_invert(){const[t,e]=o.call(this);return c=>(c-e)/t}}c.CategoricalScale=l,l.__name__=\"CategoricalScale\"},\n", " function _(t,i,n,a,e){a();const s=t(1);var l;const _=t(64),o=t(20),r=t(9),h=t(19),d=(0,s.__importStar)(t(65)),u=t(66);class g extends _.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}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,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const{renderers:t,names:i}=this,n=(0,r.concat)(this.plots.map((t=>t.data_renderers)));return(0,u.compute_renderers)(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=d.empty();for(const a of t){const t=i.get(a);null==t||!a.visible&&this.only_visible||(n=d.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=d.empty();let a=t.x1-t.x0;a<=0&&(a=1);let e=t.y1-t.y0;e<=0&&(e=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return al&&(\"start\"==this.follow?e=a+s*l:\"end\"==this.follow&&(a=e-s*l)),[a,e]}update(t,i,n,a){if(this.have_updated_interactively)return;const e=this.computed_renderers();let s=this._compute_plot_bounds(e,t);null!=a&&(s=this.adjust_bounds_for_aspect(s,a)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),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);let h=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,r]},{silent:!0}),h=!0);const[d,u]=[this.start,this.end];if(o!=d||r!=u){const t={};o!=d&&(t.start=o),r!=u&&(t.end=r),this.setv(t),h=!1}h&&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=g,l=g,g.__name__=\"DataRange1d\",l.define((({Boolean:t,Number:i,Nullable:n})=>({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[o.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(o.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),l.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))},\n", " function _(e,n,a,r,s){var t;r();const c=e(57);class _ extends c.Range{constructor(e){super(e)}}a.DataRange=_,t=_,_.__name__=\"DataRange\",t.define((({String:e,Array:n,AnyRef:a})=>({names:[n(e),[]],renderers:[n(a()),[]]})))},\n", " function _(t,i,e,h,r){h();const s=t(24),n=t(26),{min:x,max:y}=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:x(t.x0,i.x0),x1:y(t.x1,i.x1),y0:x(t.y0,i.y0),y1:y(t.y1,i.y1)}};class o{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}}static from_rect({left:t,right:i,top:e,bottom:h}){return new o({x0:Math.min(t,i),y0:Math.min(e,h),x1:Math.max(t,i),y1:Math.max(e,h)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}[n.equals](t,i){return i.eq(this.x0,t.x0)&&i.eq(this.y0,t.y0)&&i.eq(this.x1,t.x1)&&i.eq(this.y1,t.y1)}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 size(){return{width:this.width,height:this.height}}get rect(){const{x0:t,y0:i,x1:e,y1:h}=this;return{p0:{x:t,y:i},p1:{x:e,y:i},p2:{x:e,y:h},p3:{x:t,y:h}}}get box(){const{x:t,y:i,width:e,height:h}=this;return{x:t,y:i,width:e,height:h}}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}get area(){return this.width*this.height}relative(){const{width:t,height:i}=this;return new o({x:0,y:0,width:t,height:i})}translate(t,i){const{x:e,y:h,width:r,height:s}=this;return new o({x:t+e,y:i+h,width:r,height:s})}relativize(t,i){return[t-this.x,i-this.y]}contains(t,i){return this.x0<=t&&t<=this.x1&&this.y0<=i&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}grow_by(t){return new o({left:this.left-t,right:this.right+t,top:this.top-t,bottom:this.bottom+t})}shrink_by(t){return new o({left:this.left+t,right:this.right-t,top:this.top+t,bottom:this.bottom-t})}union(t){return new o({x0:x(this.x0,t.x0),y0:x(this.y0,t.y0),x1:y(this.x1,t.x1),y1:y(this.y1,t.y1)})}intersection(t){return this.intersects(t)?new o({x0:y(this.x0,t.x0),y0:y(this.y0,t.y0),x1:x(this.x1,t.x1),y1:x(this.y1,t.y1)}):null}intersects(t){return!(t.x1this.x1||t.y1this.y1)}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h0&&(r=r.filter((n=>(0,l.includes)(t,n.name)))),r}},\n", " function _(t,n,e,i,s){var r;i();const a=t(57),o=t(20),g=t(21),p=t(24),c=t(9),l=t(8),u=t(11);function h(t,n,e=0){const i=new Map;for(let s=0;sa.get(t).value)));r.set(t,{value:l/s,mapping:a}),o+=s+n+p}return[r,(a.size-1)*n+g]}function _(t,n,e,i,s=0){var r;const a=new Map,o=new Map;for(const[n,e,i]of t){const t=null!==(r=o.get(n))&&void 0!==r?r:[];o.set(n,[...t,[e,i]])}let g=s,p=0;for(const[t,s]of o){const r=s.length,[o,l]=d(s,e,i,g);p+=l;const u=(0,c.sum)(s.map((([t])=>o.get(t).value)));a.set(t,{value:u/r,mapping:o}),g+=r+n+l}return[a,(o.size-1)*n+p]}e.Factor=(0,g.Or)(g.String,(0,g.Tuple)(g.String,g.String),(0,g.Tuple)(g.String,g.String,g.String)),e.FactorSeq=(0,g.Or)((0,g.Array)(g.String),(0,g.Array)((0,g.Tuple)(g.String,g.String)),(0,g.Array)((0,g.Tuple)(g.String,g.String,g.String))),e.map_one_level=h,e.map_two_levels=d,e.map_three_levels=_;class f extends a.Range{constructor(t){super(t)}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){switch(t.length){case 1:{const[n]=t,e=this._mapping.get(n);return null!=e?e.value:NaN}case 2:{const[n,e]=t,i=this._mapping.get(n);if(null!=i){const t=i.mapping.get(e);if(null!=t)return t.value}return NaN}case 3:{const[n,e,i]=t,s=this._mapping.get(n);if(null!=s){const t=s.mapping.get(e);if(null!=t){const n=t.mapping.get(i);if(null!=n)return n.value}}return NaN}default:(0,u.unreachable)()}}synthetic(t){if((0,l.isNumber)(t))return t;if((0,l.isString)(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return(0,l.isNumber)(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new p.ScreenArray(n);for(let i=0;i{if((0,c.every)(this.factors,l.isString)){const t=this.factors,[n,e]=h(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&2==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])))){const t=this.factors,[n,e]=d(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&3==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])&&(0,l.isString)(t[2])))){const t=this.factors,[n,e]=_(t,this.group_padding,this.subgroup_padding,this.factor_padding),i=[...n.keys()],s=[];for(const[t,e]of n)for(const n of e.mapping.keys())s.push([t,n]);return{levels:3,mapping:n,tops:i,mids:s,inside_padding:e}}(0,u.unreachable)()})();this._mapping=e,this.tops=i,this.mids=s;let a=0,o=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(o-a)*this.range_padding/2;a-=t,o+=t}else a-=this.range_padding,o+=this.range_padding;this.setv({start:a,end:o,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,o]},{silent:!0})}}e.FactorRange=f,r=f,f.__name__=\"FactorRange\",r.define((({Number:t})=>({factors:[e.FactorSeq,[]],factor_padding:[t,0],subgroup_padding:[t,.8],group_padding:[t,1.4],range_padding:[t,0],range_padding_units:[o.PaddingUnits,\"percent\"],start:[t],end:[t]}))),r.internal((({Number:t,String:n,Array:e,Tuple:i,Nullable:s})=>({levels:[t],mids:[s(e(i(n,n))),null],tops:[s(e(n)),null]})))},\n", " function _(t,e,s,a,i){a();const n=t(1);var _;const r=t(69),o=t(112),l=t(48),d=t(20),h=t(24),c=t(113),u=(0,n.__importStar)(t(18)),v=t(10);class p extends r.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await(0,c.build_view)(t,{parent:this})),null!=e&&(this.end=await(0,c.build_view)(e,{parent:this}))}set_data(t){var e,s;super.set_data(t),null===(e=this.start)||void 0===e||e.set_data(t),null===(s=this.end)||void 0===s||s.set_data(t)}remove(){var t,e;null===(t=this.start)||void 0===t||t.remove(),null===(e=this.end)||void 0===e||e.remove(),super.remove()}map_data(){const{frame:t}=this.plot_view;\"data\"==this.model.start_units?(this._sx_start=this.coordinates.x_scale.v_compute(this._x_start),this._sy_start=this.coordinates.y_scale.v_compute(this._y_start)):(this._sx_start=t.bbox.xview.v_compute(this._x_start),this._sy_start=t.bbox.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(this._sx_end=this.coordinates.x_scale.v_compute(this._x_end),this._sy_end=this.coordinates.y_scale.v_compute(this._y_end)):(this._sx_end=t.bbox.xview.v_compute(this._x_end),this._sy_end=t.bbox.yview.v_compute(this._y_end));const{_sx_start:e,_sy_start:s,_sx_end:a,_sy_end:i}=this,n=e.length,_=this._angles=new h.ScreenArray(n);for(let t=0;t({x_start:[u.XCoordinateSpec,{field:\"x_start\"}],y_start:[u.YCoordinateSpec,{field:\"y_start\"}],start_units:[d.SpatialUnits,\"data\"],start:[e(t(o.ArrowHead)),null],x_end:[u.XCoordinateSpec,{field:\"x_end\"}],y_end:[u.YCoordinateSpec,{field:\"y_end\"}],end_units:[d.SpatialUnits,\"data\"],end:[e(t(o.ArrowHead)),()=>new o.OpenHead]})))},\n", " function _(t,e,n,s,a){s();const o=t(1);var i;const c=t(40),r=t(70),_=t(75),l=t(78),h=(0,o.__importStar)(t(18));class d extends c.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this._rerender()};this.connect(this.model.change,t),this.connect(this.model.source.streaming,t),this.connect(this.model.source.patching,t),this.connect(this.model.source.change,t)}_rerender(){this.request_render()}set_data(t){const e=this;for(const n of this.model)if(n instanceof h.VectorSpec||n instanceof h.ScalarSpec)if(n instanceof h.BaseCoordinateSpec){const s=n.array(t);e[`_${n.attr}`]=s}else{const s=n.uniform(t);e[`${n.attr}`]=s}this.plot_model.use_map&&(null!=e._x&&l.inplace.project_xy(e._x,e._y),null!=e._xs&&l.inplace.project_xsys(e._xs,e._ys));for(const t of this.visuals)t.update()}_render(){this._initial_set_data||(this.set_data(this.model.source),this._initial_set_data=!0),this.map_data(),this.paint(this.layer.ctx)}}n.DataAnnotationView=d,d.__name__=\"DataAnnotationView\";class u extends c.Annotation{constructor(t){super(t)}}n.DataAnnotation=u,i=u,u.__name__=\"DataAnnotation\",i.define((({Ref:t})=>({source:[t(r.ColumnarDataSource),()=>new _.ColumnDataSource]})))},\n", " function _(t,e,n,s,a){var i;s();const r=t(71),l=t(15),c=t(19),o=t(73),h=t(8),u=t(9),g=t(13),d=t(72),_=t(74),m=t(29);class w extends r.DataSource{constructor(t){super(t),this.selection_manager=new o.SelectionManager(this)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:(0,h.isArray)(e)||(this.data[t]=e=Array.from(e)),e}initialize(){super.initialize(),this._select=new l.Signal0(this,\"select\"),this.inspect=new l.Signal(this,\"inspect\"),this.streaming=new l.Signal0(this,\"streaming\"),this.patching=new l.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return(0,g.keys)(this.data)}get_length(t=!0){const e=(0,u.uniq)((0,g.values)(this.data).map((t=>(0,m.is_NDArray)(t)?t.shape[0]:t.length)));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return c.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=w,i=w,w.__name__=\"ColumnarDataSource\",i.define((({Ref:t})=>({selection_policy:[t(_.SelectionPolicy),()=>new _.UnionRenderers]}))),i.internal((({AnyRef:t})=>({inspected:[t(),()=>new d.Selection]})))},\n", " function _(e,c,n,t,o){var a;t();const s=e(53),r=e(72);class l extends s.Model{constructor(e){super(e)}}n.DataSource=l,a=l,l.__name__=\"DataSource\",a.define((({Ref:e})=>({selected:[e(r.Selection),()=>new r.Selection]})))},\n", " function _(i,e,s,t,n){var l;t();const c=i(53),d=i(9),h=i(13);class _ extends c.Model{constructor(i){super(i)}get_view(){return this.view}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=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices,this.view=i.view,this.selected_glyphs=i.selected_glyphs;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.image_indices=[],this.view=null,this.selected_glyphs=[]}map(i){return new _(Object.assign(Object.assign({},this.attributes),{indices:this.indices.map(i),multiline_indices:(0,h.to_object)((0,h.entries)(this.multiline_indices).map((([e,s])=>[i(Number(e)),s]))),image_indices:this.image_indices.map((e=>Object.assign(Object.assign({},e),{index:i(e.index)})))}))}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=(0,d.union)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=(0,d.intersection)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=(0,d.difference)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}}s.Selection=_,l=_,_.__name__=\"Selection\",l.define((({Int:i,Array:e,Dict:s})=>({indices:[e(i),[]],line_indices:[e(i),[]],multiline_indices:[s(e(i)),{}]}))),l.internal((({Int:i,Array:e,AnyRef:s,Struct:t,Nullable:n})=>({selected_glyphs:[e(s()),[]],view:[n(s()),null],image_indices:[e(t({index:i,dim1:i,dim2:i,flat_index:i})),[]]})))},\n", " function _(e,t,o,s,c){s();const n=e(72);function i(e){return\"GlyphRenderer\"==e.model.type}function l(e){return\"GraphRenderer\"==e.model.type}class r{constructor(e){this.source=e,this.inspectors=new Map}select(e,t,o,s=\"replace\"){const c=[],n=[];for(const t of e)i(t)?c.push(t):l(t)&&n.push(t);let r=!1;for(const e of n){const c=e.model.selection_policy.hit_test(t,e);r=r||e.model.selection_policy.do_selection(c,e.model,o,s)}if(c.length>0){const e=this.source.selection_policy.hit_test(t,c);r=r||this.source.selection_policy.do_selection(e,this.source,o,s)}return r}inspect(e,t){let o=!1;if(i(e)){const s=e.hit_test(t);if(null!=s){o=!s.is_empty();const c=this.get_or_create_inspector(e.model);c.update(s,!0,\"replace\"),this.source.setv({inspected:c},{silent:!0}),this.source.inspect.emit([e.model,{geometry:t}])}}else if(l(e)){const s=e.model.inspection_policy.hit_test(t,e);o=o||e.model.inspection_policy.do_inspection(s,t,e,!1,\"replace\")}return o}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new n.Selection,this.inspectors.set(e,t)),t}}o.SelectionManager=r,r.__name__=\"SelectionManager\"},\n", " function _(e,t,n,s,o){s();const r=e(53);class c extends r.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=c,c.__name__=\"SelectionPolicy\";class l extends c{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=l,l.__name__=\"IntersectRenderers\";class _ extends c{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=_,_.__name__=\"UnionRenderers\"},\n", " function _(t,n,e,s,o){s();const r=t(1);var l;const c=t(70),i=t(8),a=t(13),u=(0,r.__importStar)(t(76)),h=t(77),d=t(35);function f(t,n,e){if((0,i.isArray)(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if((0,i.isTypedArray)(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let l;t.length({data:[t(n),{}]})))},\n", " function _(t,n,o,e,c){e(),o.concat=function(t,...n){let o=t.length;for(const t of n)o+=t.length;const e=new t.constructor(o);e.set(t,0);let c=t.length;for(const t of n)e.set(t,c),c+=t.length;return e}},\n", " function _(n,o,t,e,f){function c(...n){const o=new Set;for(const t of n)for(const n of t)o.add(n);return o}e(),t.union=c,t.intersection=function(n,...o){const t=new Set;n:for(const e of n){for(const n of o)if(!n.has(e))continue n;t.add(e)}return t},t.difference=function(n,...o){const t=new Set(n);for(const n of c(...o))t.delete(n);return t}},\n", " function 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h))return new h(t);e=e||function(t){if(t)throw t};var a=(0,u.default)(t);if(\"object\"==typeof a){var s=h.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var i=(0,m.default)(f.default,a.datumCode);i&&(a.datum_params=a.datum_params||(i.towgs84?i.towgs84.split(\",\"):null),a.ellps=i.ellipse,a.datumName=i.datumName?i.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\",a.lat1=a.lat1||a.lat0;var l=(0,o.sphere)(a.a,a.b,a.rf,a.ellps,a.sphere),d=(0,o.eccentricity)(l.a,l.b,l.rf,a.R_A),_=(0,n.getNadgrids)(a.nadgrids),c=a.datum||(0,p.default)(a.datumCode,a.datum_params,l.a,l.b,d.es,d.ep2,_);(0,r.default)(this,a),(0,r.default)(this,s),this.a=l.a,this.b=l.b,this.rf=l.rf,this.sphere=l.sphere,this.es=d.es,this.e=d.e,this.ep2=d.ep2,this.datum=c,this.init(),e(null,this)}else e(t)}else e(t)}h.projections=d.default,h.projections.start(),a.default=h},\n", " function _(t,r,n,u,e){u();const f=t(1),i=(0,f.__importDefault)(t(82)),a=(0,f.__importDefault)(t(89)),o=(0,f.__importDefault)(t(84)),l=(0,f.__importDefault)(t(88));var C=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var d=[\"3857\",\"900913\",\"3785\",\"102113\"];n.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in i.default}(t))return i.default[t];if(function(t){return C.some((function(r){return t.indexOf(r)>-1}))}(t)){var r=(0,a.default)(t);if(function(t){var r=(0,l.default)(t,\"authority\");if(r){var n=(0,l.default)(r,\"epsg\");return n&&d.indexOf(n)>-1}}(r))return i.default[\"EPSG:3857\"];var n=function(t){var r=(0,l.default)(t,\"extension\");if(r)return(0,l.default)(r,\"proj4\")}(r);return n?(0,o.default)(n):r}return function(t){return\"+\"===t[0]}(t)?(0,o.default)(t):void 0}},\n", " function _(t,r,i,e,n){e();const f=t(1),a=(0,f.__importDefault)(t(83)),l=(0,f.__importDefault)(t(84)),u=(0,f.__importDefault)(t(89));function o(t){var r=this;if(2===arguments.length){var i=arguments[1];\"string\"==typeof i?\"+\"===i.charAt(0)?o[t]=(0,l.default)(arguments[1]):o[t]=(0,u.default)(arguments[1]):o[t]=i}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?o.apply(r,t):o(t)}));if(\"string\"==typeof t){if(t in o)return o[t]}else\"EPSG\"in t?o[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?o[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?o[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}(0,a.default)(o),i.default=o},\n", " function _(t,l,G,S,e){S(),G.default=function(t){t(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),t(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),t(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 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o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){u.rf=parseFloat(t)},lat_0:function(t){u.lat0=t*r.D2R},lat_1:function(t){u.lat1=t*r.D2R},lat_2:function(t){u.lat2=t*r.D2R},lat_ts:function(t){u.lat_ts=t*r.D2R},lon_0:function(t){u.long0=t*r.D2R},lon_1:function(t){u.long1=t*r.D2R},lon_2:function(t){u.long2=t*r.D2R},alpha:function(t){u.alpha=parseFloat(t)*r.D2R},gamma:function(t){u.rectified_grid_angle=parseFloat(t)},lonc:function(t){u.longc=t*r.D2R},x_0:function(t){u.x0=parseFloat(t)},y_0:function(t){u.y0=parseFloat(t)},k_0:function(t){u.k0=parseFloat(t)},k:function(t){u.k0=parseFloat(t)},a:function(t){u.a=parseFloat(t)},b:function(t){u.b=parseFloat(t)},r_a:function(){u.R_A=!0},zone:function(t){u.zone=parseInt(t,10)},south:function(){u.utmSouth=!0},towgs84:function(t){u.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){u.to_meter=parseFloat(t)},units:function(t){u.units=t;var n=(0,l.default)(f.default,t);n&&(u.to_meter=n.to_meter)},from_greenwich:function(t){u.from_greenwich=t*r.D2R},pm:function(t){var n=(0,l.default)(i.default,t);u.from_greenwich=(n||parseFloat(t))*r.D2R},nadgrids:function(t){\"@null\"===t?u.datumCode=\"none\":u.nadgrids=t},axis:function(t){var n=\"ewnsud\";3===t.length&&-1!==n.indexOf(t.substr(0,1))&&-1!==n.indexOf(t.substr(1,1))&&-1!==n.indexOf(t.substr(2,1))&&(u.axis=t)},approx:function(){u.approx=!0}};for(n in e)o=e[n],n in c?\"function\"==typeof(a=c[n])?a(o):u[a]=o:u[n]=o;return\"string\"==typeof u.datumCode&&\"WGS84\"!==u.datumCode&&(u.datumCode=u.datumCode.toLowerCase()),u}},\n", " function _(S,_,P,R,I){R(),P.PJD_3PARAM=1,P.PJD_7PARAM=2,P.PJD_GRIDSHIFT=3,P.PJD_WGS84=4,P.PJD_NODATUM=5,P.SRS_WGS84_SEMIMAJOR=6378137,P.SRS_WGS84_SEMIMINOR=6356752.314,P.SRS_WGS84_ESQUARED=.0066943799901413165,P.SEC_TO_RAD=484813681109536e-20,P.HALF_PI=Math.PI/2,P.SIXTH=.16666666666666666,P.RA4=.04722222222222222,P.RA6=.022156084656084655,P.EPSLN=1e-10,P.D2R=.017453292519943295,P.R2D=57.29577951308232,P.FORTPI=Math.PI/4,P.TWO_PI=2*Math.PI,P.SPI=3.14159265359},\n", " function _(o,r,a,e,s){e();var n={};a.default=n,n.greenwich=0,n.lisbon=-9.131906111111,n.paris=2.337229166667,n.bogota=-74.080916666667,n.madrid=-3.687938888889,n.rome=12.452333333333,n.bern=7.439583333333,n.jakarta=106.807719444444,n.ferro=-17.666666666667,n.brussels=4.367975,n.stockholm=18.058277777778,n.athens=23.7163375,n.oslo=10.722916666667},\n", " function _(t,e,f,o,u){o(),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n", " function _(e,r,t,a,n){a();var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f0?90:-90),e.lat_ts=e.lat1)}(n),n}},\n", " function _(t,e,r,i,s){i(),r.default=function(t){return new d(t).output()};var h=/\\s/,o=/[A-Za-z]/,n=/[A-Za-z84]/,a=/[,\\]]/,u=/[\\d\\.E\\-\\+]/;function d(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}d.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;h.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},d.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(a.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},d.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},d.prototype.number=function(t){if(!u.test(t)){if(a.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},d.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},d.prototype.keyword=function(t){if(n.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},d.prototype.neutral=function(t){if(o.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(u.test(t))return this.word=t,void(this.state=3);if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},d.prototype.output=function(){for(;this.place90&&a*o.R2D<-90&&h*o.R2D>180&&h*o.R2D<-180)return null;if(Math.abs(Math.abs(a)-o.HALF_PI)<=o.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(o.FORTPI+.5*a));else{var e=Math.sin(a),r=(0,l.default)(this.e,a,e);i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0-this.a*this.k0*Math.log(r)}return t.x=i,t.y=s,t}function M(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=o.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var e=Math.exp(-a/(this.a*this.k0));if(-9999===(s=(0,u.default)(this.e,e)))return null}return i=(0,n.default)(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=f,s.forward=_,s.inverse=M,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:f,forward:_,inverse:M,names:s.names}},\n", " function _(t,n,r,u,a){u(),r.default=function(t,n,r){var u=t*n;return r/Math.sqrt(1-u*u)}},\n", " function _(t,n,u,a,f){a();const e=t(1),o=t(85),_=(0,e.__importDefault)(t(97));u.default=function(t){return Math.abs(t)<=o.SPI?t:t-(0,_.default)(t)*o.TWO_PI}},\n", " function _(n,t,u,f,c){f(),u.default=function(n){return n<0?-1:1}},\n", " function _(t,n,a,o,u){o();const c=t(85);a.default=function(t,n,a){var o=t*a,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(c.HALF_PI-n))/o}},\n", " function _(t,a,n,r,f){r();const h=t(85);n.default=function(t,a){for(var n,r,f=.5*t,o=h.HALF_PI-2*Math.atan(a),u=0;u<=15;u++)if(n=t*Math.sin(o),o+=r=h.HALF_PI-2*Math.atan(a*Math.pow((1-n)/(1+n),f))-o,Math.abs(r)<=1e-10)return o;return-9999}},\n", " function _(n,i,e,t,r){function a(){}function f(n){return n}t(),e.init=a,e.forward=f,e.inverse=f,e.names=[\"longlat\",\"identity\"],e.default={init:a,forward:f,inverse:f,names:e.names}},\n", " function _(t,r,e,a,n){a();const f=t(1),i=t(85),u=(0,f.__importStar)(t(102)),c=(0,f.__importDefault)(t(88));e.eccentricity=function(t,r,e,a){var n=t*t,f=r*r,u=(n-f)/n,c=0;return a?(n=(t*=1-u*(i.SIXTH+u*(i.RA4+u*i.RA6)))*t,u=0):c=Math.sqrt(u),{es:u,e:c,ep2:(n-f)/f}},e.sphere=function(t,r,e,a,n){if(!t){var f=(0,c.default)(u.default,a);f||(f=u.WGS84),t=f.a,r=f.b,e=f.rf}return e&&!r&&(r=(1-1/e)*t),(0===e||Math.abs(t-r)3&&(0===s.datum_params[3]&&0===s.datum_params[4]&&0===s.datum_params[5]&&0===s.datum_params[6]||(s.datum_type=d.PJD_7PARAM,s.datum_params[3]*=d.SEC_TO_RAD,s.datum_params[4]*=d.SEC_TO_RAD,s.datum_params[5]*=d.SEC_TO_RAD,s.datum_params[6]=s.datum_params[6]/1e6+1))),r&&(s.datum_type=d.PJD_GRIDSHIFT,s.grids=r),s.a=_,s.b=t,s.es=u,s.ep2=p,s}},\n", " function _(t,e,n,r,i){r();var u={};function l(t){if(0===t.length)return null;var e=\"@\"===t[0];return e&&(t=t.slice(1)),\"null\"===t?{name:\"null\",mandatory:!e,grid:null,isNull:!0}:{name:t,mandatory:!e,grid:u[t]||null,isNull:!1}}function o(t){return t/3600*Math.PI/180}function a(t,e,n){return String.fromCharCode.apply(null,new Uint8Array(t.buffer.slice(e,n)))}function d(t){return t.map((function(t){return[o(t.longitudeShift),o(t.latitudeShift)]}))}function g(t,e,n){return{name:a(t,e+8,e+16).trim(),parent:a(t,e+24,e+24+8).trim(),lowerLatitude:t.getFloat64(e+72,n),upperLatitude:t.getFloat64(e+88,n),lowerLongitude:t.getFloat64(e+104,n),upperLongitude:t.getFloat64(e+120,n),latitudeInterval:t.getFloat64(e+136,n),longitudeInterval:t.getFloat64(e+152,n),gridNodeCount:t.getInt32(e+168,n)}}function s(t,e,n,r){for(var i=e+176,u=[],l=0;l1&&console.log(\"Only single NTv2 subgrids are currently supported, subsequent sub grids are ignored\");var l={header:i,subgrids:function(t,e,n){for(var r=176,i=[],u=0;ua.y||f>a.x||N1e-12&&Math.abs(n.y)>1e-12);if(d<0)return console.log(\"Inverse grid shift iterator failed to converge.\"),a;a.x=(0,u.default)(l.x+t.ll[0]),a.y=l.y+t.ll[1]}else isNaN(l.x)||(a.x=r.x+l.x,a.y=r.y+l.y);return a}function f(r,e){var t,a={x:r.x/e.del[0],y:r.y/e.del[1]},i=Math.floor(a.x),l=Math.floor(a.y),n=a.x-1*i,o=a.y-1*l,u={x:Number.NaN,y:Number.NaN};if(i<0||i>=e.lim[0])return u;if(l<0||l>=e.lim[1])return u;t=l*e.lim[0]+i;var d=e.cvs[t][0],s=e.cvs[t][1];t++;var y=e.cvs[t][0],f=e.cvs[t][1];t+=e.lim[0];var x=e.cvs[t][0],m=e.cvs[t][1];t--;var N=e.cvs[t][0],c=e.cvs[t][1],_=n*o,g=n*(1-o),v=(1-n)*(1-o),S=(1-n)*o;return u.x=v*d+g*y+S*N+_*x,u.y=v*s+g*f+S*c+_*m,u}t.default=function(r,e,t){if((0,o.compareDatums)(r,e))return t;if(r.datum_type===n.PJD_NODATUM||e.datum_type===n.PJD_NODATUM)return t;var a=r.a,i=r.es;if(r.datum_type===n.PJD_GRIDSHIFT){if(0!==s(r,!1,t))return;a=n.SRS_WGS84_SEMIMAJOR,i=n.SRS_WGS84_ESQUARED}var l=e.a,u=e.b,y=e.es;if(e.datum_type===n.PJD_GRIDSHIFT&&(l=n.SRS_WGS84_SEMIMAJOR,u=n.SRS_WGS84_SEMIMINOR,y=n.SRS_WGS84_ESQUARED),i===y&&a===l&&!d(r.datum_type)&&!d(e.datum_type))return t;if(t=(0,o.geodeticToGeocentric)(t,i,a),d(r.datum_type)&&(t=(0,o.geocentricToWgs84)(t,r.datum_type,r.datum_params)),d(e.datum_type)&&(t=(0,o.geocentricFromWgs84)(t,e.datum_type,e.datum_params)),t=(0,o.geocentricToGeodetic)(t,y,l,u),e.datum_type===n.PJD_GRIDSHIFT&&0!==s(e,!0,t))return;return t},t.applyGridShift=s},\n", " function _(a,t,r,m,s){m();const u=a(85);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===u.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==u.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,s,_,e,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-u.HALF_PI&&d>-1.001*u.HALF_PI)d=-u.HALF_PI;else if(d>u.HALF_PI&&d<1.001*u.HALF_PI)d=u.HALF_PI;else{if(d<-u.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>u.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),s=Math.sin(d),e=Math.cos(d),_=s*s,{x:((m=r/Math.sqrt(1-t*_))+i)*e*Math.cos(n),y:(m+i)*e*Math.sin(n),z:(m*(1-t)+i)*s}},r.geocentricToGeodetic=function(a,t,r,m){var s,_,e,n,d,i,p,P,y,z,M,o,A,c,x,h=1e-12,f=a.x,I=a.y,F=a.z?a.z:0;if(s=Math.sqrt(f*f+I*I),_=Math.sqrt(f*f+I*I+F*F),s/r1e-24&&A<30);return{x:c,y:Math.atan(M/Math.abs(z)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-e*a.z)+s,z:i*(-n*a.x+e*a.y+a.z)+_}}},r.geocentricFromWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-s)/i,y=(a.z-_)/i;return{x:p+d*P-n*y,y:-d*p+P+e*y,z:n*p-e*P+y}}}},\n", " function _(e,a,i,r,s){r(),i.default=function(e,a,i){var r,s,n,c=i.x,d=i.y,f=i.z||0,u={};for(n=0;n<3;n++)if(!a||2!==n||void 0!==i.z)switch(0===n?(r=c,s=-1!==\"ew\".indexOf(e.axis[n])?\"x\":\"y\"):1===n?(r=d,s=-1!==\"ns\".indexOf(e.axis[n])?\"y\":\"x\"):(r=f,s=\"z\"),e.axis[n]){case\"e\":u[s]=r;break;case\"w\":u[s]=-r;break;case\"n\":u[s]=r;break;case\"s\":u[s]=-r;break;case\"u\":void 0!==i[s]&&(u.z=r);break;case\"d\":void 0!==i[s]&&(u.z=-r);break;default:return null}return u}},\n", " function _(n,t,e,u,f){u(),e.default=function(n){var t={x:n[0],y:n[1]};return n.length>2&&(t.z=n[2]),n.length>3&&(t.m=n[3]),t}},\n", " function _(e,i,n,t,r){function o(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}t(),n.default=function(e){o(e.x),o(e.y)}},\n", " function _(e,i,s,t,o){t();const n=e(1);var l,a,r,_,c;const d=e(53),v=e(42),u=(0,n.__importStar)(e(45)),h=e(48),m=(0,n.__importStar)(e(18));class T extends v.View{initialize(){super.initialize(),this.visuals=new u.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.parent.canvas}set_data(e){const i=this;for(const s of this.model){if(!(s instanceof m.VectorSpec||s instanceof m.ScalarSpec))continue;const t=s.uniform(e);i[`${s.attr}`]=t}}}s.ArrowHeadView=T,T.__name__=\"ArrowHeadView\";class p extends d.Model{constructor(e){super(e)}}s.ArrowHead=p,l=p,p.__name__=\"ArrowHead\",l.define((()=>({size:[m.NumberSpec,25]})));class V extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,0),e.lineTo(.5*s,s)}render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.stroke()}}}s.OpenHeadView=V,V.__name__=\"OpenHeadView\";class f extends p{constructor(e){super(e)}}s.OpenHead=f,a=f,f.__name__=\"OpenHead\",a.prototype.default_view=V,a.mixins(h.LineVector);class w extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._normal(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._normal(e,i),e.stroke())}_normal(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.closePath()}}s.NormalHeadView=w,w.__name__=\"NormalHeadView\";class H extends p{constructor(e){super(e)}}s.NormalHead=H,r=H,H.__name__=\"NormalHead\",r.prototype.default_view=w,r.mixins([h.LineVector,h.FillVector]),r.override({fill_color:\"black\"});class z extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._vee(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._vee(e,i),e.stroke())}_vee(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.closePath()}}s.VeeHeadView=z,z.__name__=\"VeeHeadView\";class x extends p{constructor(e){super(e)}}s.VeeHead=x,_=x,x.__name__=\"VeeHead\",_.prototype.default_view=z,_.mixins([h.LineVector,h.FillVector]),_.override({fill_color:\"black\"});class g extends T{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,0),e.lineTo(-.5*s,0),e.stroke()}}clip(e,i){}}s.TeeHeadView=g,g.__name__=\"TeeHeadView\";class b extends p{constructor(e){super(e)}}s.TeeHead=b,c=b,b.__name__=\"TeeHead\",c.prototype.default_view=g,c.mixins(h.LineVector)},\n", " function _(n,e,t,i,o){i();const s=n(9);async function c(n,e,t){const i=new n(Object.assign(Object.assign({},t),{model:e}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(n,e={parent:null},t=(n=>n.default_view)){const i=await c(t(n),n,e);return i.connect_signals(),i},t.build_views=async function(n,e,t={parent:null},i=(n=>n.default_view)){const o=(0,s.difference)([...n.keys()],e);for(const e of o)n.get(e).remove(),n.delete(e);const a=[],f=e.filter((e=>!n.has(e)));for(const e of f){const o=await c(i(e),e,t);n.set(e,o),a.push(o)}for(const n of a)n.connect_signals();return a},t.remove_views=function(n){for(const[e,t]of n)t.remove(),n.delete(e)}},\n", " function _(e,s,_,i,l){i();const t=e(1);var o;const r=e(115),p=(0,t.__importStar)(e(48));class h extends r.UpperLowerView{paint(e){e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);for(let s=this._upper_sx.length-1;s>=0;s--)e.lineTo(this._upper_sx[s],this._upper_sy[s]);e.closePath(),this.visuals.fill.apply(e),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);this.visuals.line.apply(e),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let s=0,_=this._upper_sx.length;s<_;s++)e.lineTo(this._upper_sx[s],this._upper_sy[s]);this.visuals.line.apply(e)}}_.BandView=h,h.__name__=\"BandView\";class n extends r.UpperLower{constructor(e){super(e)}}_.Band=n,o=n,n.__name__=\"Band\",o.prototype.default_view=h,o.mixins([p.Line,p.Fill]),o.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", " function _(e,t,i,s,o){s();const r=e(1);var n;const p=e(69),a=e(20),_=(0,r.__importStar)(e(18));class h extends p.DataAnnotationView{map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,i=this.coordinates.x_scale,s=this.coordinates.y_scale,o=\"height\"==t?s:i,r=\"height\"==t?i:s,n=\"height\"==t?e.bbox.yview:e.bbox.xview,p=\"height\"==t?e.bbox.xview:e.bbox.yview;let a,_,h;a=\"data\"==this.model.properties.lower.units?o.v_compute(this._lower):n.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?o.v_compute(this._upper):n.v_compute(this._upper),h=\"data\"==this.model.properties.base.units?r.v_compute(this._base):p.v_compute(this._base);const[d,c]=\"height\"==t?[1,0]:[0,1],u=[a,h],l=[_,h];this._lower_sx=u[d],this._lower_sy=u[c],this._upper_sx=l[d],this._upper_sy=l[c]}}i.UpperLowerView=h,h.__name__=\"UpperLowerView\";class d extends _.CoordinateSpec{get dimension(){return\"width\"==this.obj.dimension?\"x\":\"y\"}get units(){var e;return null!==(e=this.spec.units)&&void 0!==e?e:\"data\"}}i.XOrYCoordinateSpec=d,d.__name__=\"XOrYCoordinateSpec\";class c extends p.DataAnnotation{constructor(e){super(e)}}i.UpperLower=c,n=c,c.__name__=\"UpperLower\",n.define((()=>({dimension:[a.Dimension,\"height\"],lower:[d,{field:\"lower\"}],upper:[d,{field:\"upper\"}],base:[d,{field:\"base\"}]})))},\n", " function _(t,o,i,n,e){n();const s=t(1);var l;const r=t(40),a=(0,s.__importStar)(t(48)),c=t(20),h=t(65);i.EDGE_TOLERANCE=2.5;class b extends r.AnnotationView{constructor(){super(...arguments),this.bbox=new h.BBox}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{left:t,right:o,top:i,bottom:n}=this.model;if(null==t&&null==o&&null==i&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,r=(t,o,i,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==o?i.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:r(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:r(o,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:r(i,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:r(n,this.model.bottom_units,l,e.bbox.yview,e.bbox.bottom)}),this._paint_box()}_paint_box(){const{ctx:t}=this.layer;t.save();const{left:o,top:i,width:n,height:e}=this.bbox;t.beginPath(),t.rect(o,i,n,e),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t),t.restore()}interactive_bbox(){const t=this.model.line_width+i.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,o){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,o)}cursor(t,o){const{left:i,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-i)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(o-e)<3||Math.abs(o-s)<3?this.model.ns_cursor:this.bbox.contains(t,o)?this.model.in_cursor:null}}i.BoxAnnotationView=b,b.__name__=\"BoxAnnotationView\";class u extends r.Annotation{constructor(t){super(t)}update({left:t,right:o,top:i,bottom:n}){this.setv({left:t,right:o,top:i,bottom:n,screen:!0})}}i.BoxAnnotation=u,l=u,u.__name__=\"BoxAnnotation\",l.prototype.default_view=b,l.mixins([a.Line,a.Fill,a.Hatch]),l.define((({Number:t,Nullable:o})=>({top:[o(t),null],top_units:[c.SpatialUnits,\"data\"],bottom:[o(t),null],bottom_units:[c.SpatialUnits,\"data\"],left:[o(t),null],left_units:[c.SpatialUnits,\"data\"],right:[o(t),null],right_units:[c.SpatialUnits,\"data\"],render_mode:[c.RenderMode,\"canvas\"]}))),l.internal((({Boolean:t,String:o,Nullable:i})=>({screen:[t,!1],ew_cursor:[i(o),null],ns_cursor:[i(o),null],in_cursor:[i(o),null]}))),l.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", " function _(t,e,i,o,n){o();const a=t(1);var r;const s=t(40),l=t(118),_=t(126),c=t(127),h=t(130),u=t(168),p=t(131),m=t(192),g=t(132),d=t(173),f=t(172),w=t(196),b=t(204),v=t(206),x=t(133),y=t(20),k=(0,a.__importStar)(t(48)),z=t(9),j=t(207),C=t(208),L=t(211),B=t(123),S=t(11),M=t(113),T=t(65),A=t(8);class O extends s.AnnotationView{get orientation(){return this._orientation}initialize(){super.initialize();const{ticker:t,formatter:e,color_mapper:i}=this.model;this._ticker=\"auto\"!=t?t:(()=>{switch(!0){case i instanceof w.LogColorMapper:return new u.LogTicker;case i instanceof w.ScanningColorMapper:return new u.BinnedTicker({mapper:i});case i instanceof w.CategoricalColorMapper:return new u.CategoricalTicker;default:return new u.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof u.LogTicker:return new m.LogTickFormatter;case i instanceof w.CategoricalColorMapper:return new m.CategoricalTickFormatter;default:return new m.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof w.CategoricalColorMapper){const{factors:t}=i;return new v.FactorRange({factors:t})}if(i instanceof f.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new v.Range1d({start:t,end:e})}(0,S.unreachable)()})(),this._major_scale=(()=>{if(i instanceof w.LinearColorMapper)return new b.LinearScale;if(i instanceof w.LogColorMapper)return new b.LogScale;if(i instanceof w.ScanningColorMapper){const{binning:t}=i.metrics;return new b.LinearInterpolationScale({binning:t})}if(i instanceof w.CategoricalColorMapper)return new b.CategoricalScale;(0,S.unreachable)()})(),this._minor_range=new v.Range1d({start:0,end:1}),this._minor_scale=new b.LinearScale;const o=k.attrs_of(this.model,\"major_label_\",k.Text,!0),n=k.attrs_of(this.model,\"major_tick_\",k.Line,!0),a=k.attrs_of(this.model,\"minor_tick_\",k.Line,!0),r=k.attrs_of(this.model,\"title_\",k.Text),s=i instanceof w.CategoricalColorMapper?c.CategoricalAxis:i instanceof w.LogColorMapper?c.LogAxis:c.LinearAxis;this._axis=new s(Object.assign(Object.assign(Object.assign({ticker:this._ticker,formatter:this._formatter,major_tick_in:this.model.major_tick_in,major_tick_out:this.model.major_tick_out,minor_tick_in:this.model.minor_tick_in,minor_tick_out:this.model.minor_tick_out,major_label_standoff:this.model.label_standoff,major_label_overrides:this.model.major_label_overrides,major_label_policy:this.model.major_label_policy,axis_line_color:null},o),n),a));const{title:_}=this.model;_&&(this._title=new l.Title(Object.assign({text:_,standoff:this.model.title_standoff},r)))}async lazy_initialize(){await super.lazy_initialize();const t=this,e={get parent(){return t.parent},get root(){return t.root},get frame(){return t._frame},get canvas_view(){return t.parent.canvas_view},request_layout(){t.parent.request_layout()}};this._axis_view=await(0,M.build_view)(this._axis,{parent:e}),null!=this._title&&(this._title_view=await(0,M.build_view)(this._title,{parent:e}))}remove(){var t;null===(t=this._title_view)||void 0===t||t.remove(),this._axis_view.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this._ticker.change,(()=>this.request_render())),this.connect(this._formatter.change,(()=>this.request_render())),this.connect(this.model.color_mapper.metrics_change,(()=>{const t=this._major_range,e=this._major_scale,{color_mapper:i}=this.model;if(i instanceof f.ContinuousColorMapper&&t instanceof v.Range1d){const{min:e,max:o}=i.metrics;t.setv({start:e,end:o})}if(i instanceof w.ScanningColorMapper&&e instanceof b.LinearInterpolationScale){const{binning:t}=i.metrics;e.binning=t}this._set_canvas_image(),this.plot_view.request_layout()}))}_set_canvas_image(){const{orientation:t}=this,e=(()=>{const{palette:e}=this.model.color_mapper;return\"vertical\"==t?(0,z.reversed)(e):e})(),[i,o]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=o;const a=n.getContext(\"2d\"),r=a.getImageData(0,0,i,o),s=new w.LinearColorMapper({palette:e}).rgba_mapper.v_compute((0,z.range)(0,e.length));r.data.set(s),a.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:o,margin:n}=this.model,[a,r]=(()=>{if(!(0,A.isString)(t))return[\"end\",\"start\"];switch(t){case\"top_left\":return[\"start\",\"start\"];case\"top\":case\"top_center\":return[\"start\",\"center\"];case\"top_right\":return[\"start\",\"end\"];case\"bottom_left\":return[\"end\",\"start\"];case\"bottom\":case\"bottom_center\":return[\"end\",\"center\"];case\"bottom_right\":return[\"end\",\"end\"];case\"left\":case\"center_left\":return[\"center\",\"start\"];case\"center\":case\"center_center\":return[\"center\",\"center\"];case\"right\":case\"center_right\":return[\"center\",\"end\"]}})(),s=this._orientation=(()=>{const{orientation:t}=this.model;return\"auto\"==t?null!=this.panel?this.panel.is_horizontal?\"horizontal\":\"vertical\":\"start\"==r||\"end\"==r||\"center\"==r&&\"center\"==a?\"vertical\":\"horizontal\":t})(),l=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;l.absolute=!0,c.absolute=!0,h.absolute=!0,u.absolute=!0,p.absolute=!0;const[m,g,d,f]=(()=>\"horizontal\"==s?[this._major_scale,this._minor_scale,this._major_range,this._minor_range]:[this._minor_scale,this._major_scale,this._minor_range,this._major_range])();this._frame=new _.CartesianFrame(m,g,d,f),l.on_resize((t=>this._frame.set_geometry(t)));const w=new L.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=l,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:o,right:o,top:o,bottom:o},v=(()=>{if(null==this.panel){if((0,A.isString)(t))return{left:n,right:n,top:n,bottom:n};{const[e,i]=t;return{left:e,right:n,top:n,bottom:i}}}if(!(0,A.isString)(t)){const[e,i]=t;return w.fixup_geometry=(t,o)=>{const n=t,a=this.layout.bbox,{width:r,height:s}=t;if(t=new T.BBox({left:a.left+e,bottom:a.bottom-i,width:r,height:s}),null!=o){const e=t.left-n.left,i=t.top-n.top,{left:a,top:r,width:s,height:l}=o;o=new T.BBox({left:a+e,top:r+i,width:s,height:l})}return[t,o]},{left:e,right:0,top:0,bottom:i}}w.fixup_geometry=(t,e)=>{const i=t;if(\"horizontal\"==s){const{top:e,width:i,height:o}=t;if(\"end\"==r){const{right:n}=this.layout.bbox;t=new T.BBox({right:n,top:e,width:i,height:o})}else if(\"center\"==r){const{hcenter:n}=this.layout.bbox;t=new T.BBox({hcenter:Math.round(n),top:e,width:i,height:o})}}else{const{left:e,width:i,height:o}=t;if(\"end\"==a){const{bottom:n}=this.layout.bbox;t=new T.BBox({left:e,bottom:n,width:i,height:o})}else if(\"center\"==a){const{vcenter:n}=this.layout.bbox;t=new T.BBox({left:e,vcenter:Math.round(n),width:i,height:o})}}if(null!=e){const o=t.left-i.left,n=t.top-i.top,{left:a,top:r,width:s,height:l}=e;e=new T.BBox({left:a+o,top:r+n,width:s,height:l})}return[t,e]}})();let x,y,k,z;if(w.padding=b,null!=this.panel?(x=\"max\",y=void 0,k=void 0,z=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(x=\"fixed\",y=25*this.model.color_mapper.palette.length,k={percent:.3},z={percent:.8}):(x=\"fit\",y=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,o=\"auto\"==i?25:i;w.set_sizing({width_policy:x,height_policy:\"min\",width:y,min_width:k,max_width:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:o})}else{const t=\"auto\"==e?25:e,o=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:x,height:y,min_height:k,max_height:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:o})}c.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),h.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),u.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),p.set_sizing({width_policy:\"min\",height_policy:\"fit\"});const{_title_view:S}=this;null!=S&&(\"horizontal\"==s?(S.panel=new B.Panel(\"above\"),S.update_layout(),c.children.push(S.layout)):(S.panel=new B.Panel(\"left\"),S.update_layout(),u.children.push(S.layout)));const{panel:M}=this,O=null!=M&&s==M.orientation?M.side:\"horizontal\"==s?\"below\":\"right\",R=(()=>{switch(O){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:F}=this;if(F.panel=new B.Panel(O),F.update_layout(),R.children.push(F.layout),null!=this.panel){const t=new j.Grid([{layout:w,row:0,col:0}]);t.absolute=!0,\"horizontal\"==s?t.set_sizing({width_policy:\"max\",height_policy:\"min\"}):t.set_sizing({width_policy:\"min\",height_policy:\"max\"}),this.layout=t}else this.layout=this._inner_layout;const{visible:I}=this.model;this.layout.sizing.visible=I,this._set_canvas_image()}_render(){var t;const{ctx:e}=this.layer;e.save(),this._paint_bbox(e,this._inner_layout.bbox),this._paint_image(e,this._inner_layout.center_panel.bbox),null===(t=this._title_view)||void 0===t||t.render(),this._axis_view.render(),e.restore()}_paint_bbox(t,e){const{x:i,y:o}=e;let{width:n,height:a}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),o+a>=this.parent.canvas_view.bbox.height&&(a-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,o,n,a)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}_paint_image(t,e){const{x:i,y:o,width:n,height:a}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,o,n,a),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=(0,a.__rest)(t,[\"children\"]);return null!=this._title_view&&e.push(this._title_view.serializable_state()),e.push(this._axis_view.serializable_state()),Object.assign(Object.assign({},i),{children:e})}}i.ColorBarView=O,O.__name__=\"ColorBarView\";class R extends s.Annotation{constructor(t){super(t)}}i.ColorBar=R,r=R,R.__name__=\"ColorBar\",r.prototype.default_view=O,r.mixins([[\"major_label_\",k.Text],[\"title_\",k.Text],[\"major_tick_\",k.Line],[\"minor_tick_\",k.Line],[\"border_\",k.Line],[\"bar_\",k.Line],[\"background_\",k.Fill]]),r.define((({Alpha:t,Number:e,String:i,Tuple:o,Dict:n,Or:a,Ref:r,Auto:s,Nullable:l})=>({location:[a(y.Anchor,o(e,e)),\"top_right\"],orientation:[a(y.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[a(e,s),\"auto\"],height:[a(e,s),\"auto\"],scale_alpha:[t,1],ticker:[a(r(h.Ticker),s),\"auto\"],formatter:[a(r(p.TickFormatter),s),\"auto\"],major_label_overrides:[n(a(i,r(x.BaseText))),{}],major_label_policy:[r(g.LabelingPolicy),()=>new g.NoOverlap],color_mapper:[r(d.ColorMapper)],label_standoff:[e,5],margin:[e,30],padding:[e,10],major_tick_in:[e,5],major_tick_out:[e,0],minor_tick_in:[e,0],minor_tick_out:[e,0]}))),r.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n", " function _(t,e,i,s,l){s();const o=t(1);var a;const n=t(119),r=t(20),c=t(120),h=(0,o.__importStar)(t(48));class _ extends n.TextAnnotationView{_get_location(){const t=this.model.offset,e=this.model.standoff/2;let i,s;const{bbox:l}=this.layout;switch(this.panel.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":s=l.top+e;break;case\"middle\":s=l.vcenter;break;case\"bottom\":s=l.bottom-e}switch(this.model.align){case\"left\":i=l.left+t;break;case\"center\":i=l.hcenter;break;case\"right\":i=l.right-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=l.left+e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.right-e}switch(this.model.align){case\"left\":s=l.bottom-t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.top+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=l.right-e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.left+e}switch(this.model.align){case\"left\":s=l.top+t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.bottom-t}}return[i,s]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),s=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,s)}_get_size(){const{text:t}=this.model,e=new c.TextBox({text:t});e.visuals=this.visuals.text.values();const{width:i,height:s}=e.size();return{width:i,height:0==s?0:2+s+this.model.standoff}}}i.TitleView=_,_.__name__=\"TitleView\";class d extends n.TextAnnotation{constructor(t){super(t)}}i.Title=d,a=d,d.__name__=\"Title\",a.prototype.default_view=_,a.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),a.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),a.prototype._props.text_align.options.internal=!0,a.prototype._props.text_baseline.options.internal=!0,a.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})},\n", " function _(e,t,s,i,l){var n;i();const o=e(40),a=e(43),r=e(20),d=e(120),u=e(123),c=e(11);class h extends o.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new u.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=(0,a.div)(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&(0,a.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,(()=>this.render())):this.connect(this.model.change,(()=>this.request_render()))}render(){this.model.visible||\"css\"!=this.model.render_mode||(0,a.undisplay)(this.el),super.render()}_canvas_text(e,t,s,i,l){const n=new d.TextBox({text:t});n.angle=l,n.position={sx:s,sy:i},n.visuals=this.visuals.text.values();const{background_fill:o,border_line:a}=this.visuals;if(o.doit||a.doit){const{p0:t,p1:s,p2:i,p3:l}=n.rect();e.beginPath(),e.moveTo(t.x,t.y),e.lineTo(s.x,s.y),e.lineTo(i.x,i.y),e.lineTo(l.x,l.y),e.closePath(),this.visuals.background_fill.apply(e),this.visuals.border_line.apply(e)}this.visuals.text.doit&&n.paint(e)}_css_text(e,t,s,i,l){const{el:n}=this;(0,c.assert)(null!=n),(0,a.undisplay)(n),n.textContent=t,this.visuals.text.set_value(e),n.style.position=\"absolute\",n.style.left=`${s}px`,n.style.top=`${i}px`,n.style.color=e.fillStyle,n.style.font=e.font,n.style.lineHeight=\"normal\",n.style.whiteSpace=\"pre\";const[o,r]=(()=>{switch(this.visuals.text.text_align.get_value()){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,u]=(()=>{switch(this.visuals.text.text_baseline.get_value()){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${r}, ${u})`;l&&(h+=`rotate(${l}rad)`),n.style.transformOrigin=`${o} ${d}`,n.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),n.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),n.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",n.style.borderWidth=`${e.lineWidth}px`,n.style.borderColor=e.strokeStyle),(0,a.display)(n)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class _ extends o.Annotation{constructor(e){super(e)}}s.TextAnnotation=_,n=_,_.__name__=\"TextAnnotation\",n.define((()=>({render_mode:[r.RenderMode,\"canvas\"]})))},\n", " function _(t,e,s,i,n){i();const h=t(65),o=t(121),r=t(9),a=t(8),c=t(122),_=t(22);s.text_width=(()=>{const t=document.createElement(\"canvas\").getContext(\"2d\");let e=\"\";return(s,i)=>(i!=e&&(e=i,t.font=i),t.measureText(s).width)})();class l{constructor(){this._position={sx:0,sy:0},this.font_size_scale=1,this.align=\"left\",this._base_font_size=13,this._x_anchor=\"left\",this._y_anchor=\"center\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}set position(t){this._position=t}get position(){return this._position}infer_text_height(){return\"ascent_descent\"}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new h.BBox({left:n,right:r,top:o,bottom:a})}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new c.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e.x),h(e.y)),t.lineTo(h(s.x),h(s.y)),t.lineTo(h(i.x),h(i.y)),t.lineTo(h(n.x),h(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e),h(s)),t.lineTo(h(e),h(s+n)),t.lineTo(h(e+i),h(s+n)),t.lineTo(h(e+i),h(s)),t.closePath(),t.stroke(),t.restore()}}s.GraphicsBox=l,l.__name__=\"GraphicsBox\";class x extends l{constructor({text:t}){super(),this.text=t}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const h=t.font,{font_size_scale:r,base_font_size:a}=this,c=(0,o.parse_css_font_size)(n);if(null!=c){let{value:t,unit:e}=c;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const l=`${i} ${n} ${h}`;this.font=l,this.color=(0,_.color2css)(e,s),this.line_height=t.line_height;const x=t.align;this._x_anchor=x;const u=t.baseline;this._y_anchor=(()=>{switch(u){case\"top\":return\"top\";case\"middle\":return\"center\";case\"bottom\":return\"bottom\";default:return\"baseline\"}})()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";{function t(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"\\u2212\":case\"e\":continue;default:return!1}return!0}return t(this.text)?\"cap\":\"ascent_descent\"}}_text_line(t){var e;const s=null!==(e=this.text_height_metric)&&void 0!==e?e:this.infer_text_height(),i=(()=>{switch(s){case\"x\":case\"x_descent\":return t.x_height;case\"cap\":case\"cap_descent\":return t.cap_height;case\"ascent\":case\"ascent_descent\":return t.ascent}})(),n=(()=>{switch(s){case\"x\":case\"cap\":case\"ascent\":return 0;case\"x_descent\":case\"cap_descent\":case\"ascent_descent\":return t.descent}})();return{height:i+n,ascent:i,descent:n}}get nlines(){return this.text.split(\"\\n\").length}_size(){var t,e;const{font:i}=this,n=(0,o.font_metrics)(i),h=(this.line_height-1)*n.height,a=\"\"==this.text,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,i))),x=this._text_line(n).height*_,u=\"%\"==(null===(t=this.width)||void 0===t?void 0:t.unit)?this.width.value:1,p=\"%\"==(null===(e=this.height)||void 0===e?void 0:e.unit)?this.height.value:1;return{width:(0,r.max)(l)*u,height:a?0:(x+h*(_-1))*p,metrics:n}}_computed_position(t,e,s){const{width:i,height:n}=t,{sx:h,sy:o,x_anchor:r=this._x_anchor,y_anchor:c=this._y_anchor}=this.position;return{x:h-(()=>{if((0,a.isNumber)(r))return r*i;switch(r){case\"left\":return 0;case\"center\":return.5*i;case\"right\":return i}})(),y:o-(()=>{var t;if((0,a.isNumber)(c))return c*n;switch(c){case\"top\":return 0;case\"center\":return.5*n;case\"bottom\":return n;case\"baseline\":if(1!=s)return.5*n;switch(null!==(t=this.text_height_metric)&&void 0!==t?t:this.infer_text_height()){case\"x\":case\"x_descent\":return e.x_height;case\"cap\":case\"cap_descent\":return e.cap_height;case\"ascent\":case\"ascent_descent\":return e.ascent}}})()}}_rect(){const{width:t,height:e,metrics:s}=this._size(),i=this.text.split(\"\\n\").length,{x:n,y:o}=this._computed_position({width:t,height:e},s,i);return new h.BBox({x:n,y:o,width:t,height:e}).rect}paint(t){var e,i;const{font:n}=this,h=(0,o.font_metrics)(n),a=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,n))),x=this._text_line(h),u=x.height*_,p=\"%\"==(null===(e=this.width)||void 0===e?void 0:e.unit)?this.width.value:1,f=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,g=(0,r.max)(l)*p,d=(u+a*(_-1))*f;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:b,sy:m}=this.position,{align:y}=this,{angle:w}=this;w&&(t.translate(b,m),t.rotate(w),t.translate(-b,-m));let{x:v,y:z}=this._computed_position({width:g,height:d},h,_);if(\"justify\"==y)for(let e=0;e<_;e++){let i=v;const h=c[e].split(\" \"),o=h.length,_=h.map((t=>(0,s.text_width)(t,n))),l=(g-(0,r.sum)(_))/(o-1);for(let e=0;e{switch(y){case\"left\":return 0;case\"center\":return.5*(g-l[e]);case\"right\":return g-l[e]}})();t.fillStyle=this.color,t.fillText(c[e],s,z+x.ascent),z+=x.height+a}t.restore()}}s.TextBox=x,x.__name__=\"TextBox\";class u extends l{constructor(t,e){super(),this.base=t,this.expo=e}get children(){return[this.base,this.expo]}set base_font_size(t){super.base_font_size=t,this.base.base_font_size=t,this.expo.base_font_size=t}set position(t){this._position=t;const e=this.base.size(),s=this.expo.size(),i=this._shift_scale()*e.height,n=Math.max(e.height,i+s.height);this.base.position={sx:0,x_anchor:\"left\",sy:n,y_anchor:\"bottom\"},this.expo.position={sx:e.width,x_anchor:\"left\",sy:i,y_anchor:\"bottom\"}}get position(){return this._position}set visuals(t){this.expo.font_size_scale=.7,this.base.visuals=t,this.expo.visuals=t}_shift_scale(){if(this.base instanceof x&&1==this.base.nlines){const{x_height:t,cap_height:e}=(0,o.font_metrics)(this.base.font);return t/e}return 2/3}infer_text_height(){return this.base.infer_text_height()}_rect(){const t=this.base.bbox(),e=this.expo.bbox(),s=t.union(e),{x:i,y:n}=this._computed_position();return s.translate(i,n).rect}_size(){const t=this.base.size(),e=this.expo.size();return{width:t.width+e.width,height:Math.max(t.height,this._shift_scale()*t.height+e.height)}}paint(t){t.save();const{angle:e}=this;if(e){const{sx:s,sy:i}=this.position;t.translate(s,i),t.rotate(e),t.translate(-s,-i)}const{x:s,y:i}=this._computed_position();t.translate(s,i),this.base.paint(t),this.expo.paint(t),t.restore()}paint_bbox(t){super.paint_bbox(t);const{x:e,y:s}=this._computed_position();t.save(),t.translate(e,s);for(const e of this.children)e.paint_bbox(t);t.restore()}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:h=this._y_anchor}=this.position;return{x:s-(()=>{if((0,a.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,a.isNumber)(h))return h*e;switch(h){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}}s.BaseExpo=u,u.__name__=\"BaseExpo\";class p{constructor(t){this.items=t}set base_font_size(t){for(const e of this.items)e.base_font_size=t}get length(){return this.items.length}set visuals(t){for(const e of this.items)e.visuals=t;const e={x:0,cap:1,ascent:2,x_descent:3,cap_descent:4,ascent_descent:5},s=(0,r.max_by)(this.items.map((t=>t.infer_text_height())),(t=>e[t]));for(const t of this.items)t.text_height_metric=s}set angle(t){for(const e of this.items)e.angle=t}max_size(){let t=0,e=0;for(const s of this.items){const i=s.size();t=Math.max(t,i.width),e=Math.max(e,i.height)}return{width:t,height:e}}}s.GraphicsBoxes=p,p.__name__=\"GraphicsBoxes\"},\n", " function _(t,e,n,r,l){r();const a=t(11),c=(()=>{try{return\"undefined\"!=typeof OffscreenCanvas&&null!=new OffscreenCanvas(0,0).getContext(\"2d\")}catch(t){return!1}})()?(t,e)=>new OffscreenCanvas(t,e):(t,e)=>{const n=document.createElement(\"canvas\");return n.width=t,n.height=e,n},o=(()=>{const t=c(0,0).getContext(\"2d\");return e=>{t.font=e;const n=t.measureText(\"M\"),r=t.measureText(\"x\"),l=t.measureText(\"\\xc5\\u015ag|\"),c=l.fontBoundingBoxAscent,o=l.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=l.actualBoundingBoxAscent,u=l.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};(0,a.unreachable)()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),l=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=l&&null!=c)return{width:r.width,height:l+c,ascent:l,descent:c};(0,a.unreachable)()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a=1)=>{e.font=l;const{width:c}=e.measureText(\"M\"),o=c*a,s=Math.ceil(o),u=Math.ceil(2*o),i=Math.ceil(1.5*o);n{let e=0;for(let n=0;n<=i;n++)for(let r=0;r{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a,c=1)=>{e.font=a;const{width:o}=e.measureText(\"M\"),s=o*c,u=Math.ceil(s),i=Math.ceil(2*s),f=Math.ceil(1.5*s);(n{let e=0;for(let n=0;n<=f;n++)for(let r=0;r{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r{try{return o(\"normal 10px sans-serif\"),o}catch(t){return u}})(),h=(()=>{try{return s(\"A\",\"normal 10px sans-serif\"),s}catch(t){return i}})(),g=new Map;function d(t){let e=g.get(t);return null==e&&(e={font:f(t),glyphs:new Map},g.set(t,e)),e.font}n.font_metrics=d,n.glyph_metrics=function(t,e){let n=g.get(e);null==n&&(d(e),n=g.get(e));let r=n.glyphs.get(t);return null==r&&(r=h(t,e),n.glyphs.set(t,r)),r},n.parse_css_font_size=function(t){const e=t.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=e){const[,t,,n]=e,r=Number(t);if(isFinite(r))return{value:r,unit:n}}return null}},\n", " function _(t,s,r,n,i){n();const{sin:e,cos:a}=Math;class h{constructor(t=1,s=0,r=0,n=1,i=0,e=0){this.a=t,this.b=s,this.c=r,this.d=n,this.e=i,this.f=e}toString(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return`matrix(${t}, ${s}, ${r}, ${n}, ${i}, ${e})`}static from_DOMMatrix(t){const{a:s,b:r,c:n,d:i,e,f:a}=t;return new h(s,r,n,i,e,a)}to_DOMMatrix(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new DOMMatrix([t,s,r,n,i,e])}clone(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new h(t,s,r,n,i,e)}get is_identity(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return 1==t&&0==s&&0==r&&1==n&&0==i&&0==e}apply_point(t){const[s,r]=this.apply(t.x,t.y);return{x:s,y:r}}apply_rect(t){return{p0:this.apply_point(t.p0),p1:this.apply_point(t.p1),p2:this.apply_point(t.p2),p3:this.apply_point(t.p3)}}apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this;return[r*t+i*s+a,n*t+e*s+h]}iv_apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this,c=t.length;for(let o=0;o{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=n&&\"fixed\"!=s)if(n==s){const n=t,s=_(t/e),r=_(h*e),g=h;Math.abs(i.width-n)+Math.abs(i.height-s)<=Math.abs(i.width-r)+Math.abs(i.height-g)?(t=n,h=s):(t=r,h=g)}else r(n,s)?h=_(t/e):t=_(h*e);else\"fixed\"==n?h=_(t/e):\"fixed\"==s&&(t=_(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,e=new s.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(e),r=this.clip_size(n,e),g=t(r.width),l=h(r.height),a=this.apply_aspect(e,{width:g,height:l});return Object.assign(Object.assign({},n),a)}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 r.BBox({left:0,top:0,width:h,height:e});let s;if(null!=t.inner){const{left:i,top:n,right:g,bottom:l}=t.inner;s=new r.BBox({left:i,top:n,right:h-g,bottom:e-l})}this.set_geometry(n,s)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_size(i,t){function h(i,t,h,e){return null==h?h=0:(0,g.isNumber)(h)||(h=Math.round(h.percent*t)),null==e?e=1/0:(0,g.isNumber)(e)||(e=Math.round(e.percent*t)),a(h,l(i,e))}return{width:h(i.width,t.width,this.sizing.min_width,this.sizing.max_width),height:h(i.height,t.height,this.sizing.min_height,this.sizing.max_height)}}has_size_changed(){const{_dirty:i}=this;return this._dirty=!1,i}}h.Layoutable=o,o.__name__=\"Layoutable\";class d extends o{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;return{width:(()=>{const{width:h}=this.sizing;if(i.width==1/0)return null!=h?h:0;switch(t){case\"fixed\":return null!=h?h:0;case\"min\":return null!=h?l(i.width,h):0;case\"fit\":return null!=h?l(i.width,h):i.width;case\"max\":return null!=h?a(i.width,h):i.width}})(),height:(()=>{const{height:t}=this.sizing;if(i.height==1/0)return null!=t?t:0;switch(h){case\"fixed\":return null!=t?t:0;case\"min\":return null!=t?l(i.height,t):0;case\"fit\":return null!=t?l(i.height,t):i.height;case\"max\":return null!=t?a(i.height,t):i.height}})()}}}h.LayoutItem=d,d.__name__=\"LayoutItem\";class u extends o{_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=u,u.__name__=\"ContentLayoutable\"},\n", " function _(e,t,s,a,_){a();const r=e(62),n=e(61),g=e(58),i=e(63),c=e(67),h=e(65),l=e(13),o=e(11);class x{constructor(e,t,s,a,_={},r={},n={},g={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=r,this.extra_x_scales=n,this.extra_y_scales=g,this._bbox=new h.BBox,(0,o.assert)(null==e.source_range&&null==e.target_range),(0,o.assert)(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s,a){var _;const g=new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e}))),h=new Map;for(const[t,l]of s){if(l instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&l instanceof i.DataRange1d&&(l.scale_hint=\"log\");const s=(null!==(_=g.get(t))&&void 0!==_?_:e).clone();s.setv({source_range:l,target_range:a}),h.set(t,s)}return h}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new g.Range1d({start:e.left,end:e.right}),this._y_target=new g.Range1d({start:e.bottom,end:e.top})}_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._x_scales=this._get_scales(this.in_x_scale,this.extra_x_scales,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this.extra_y_scales,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}set_geometry(e){this._bbox=e,this._update_scales()}get x_target(){return this._x_target}get y_target(){return this._y_target}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return(0,l.to_object)(this.x_scales)}get yscales(){return(0,l.to_object)(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n", " function _(i,s,x,A,o){A(),o(\"Axis\",i(128).Axis),o(\"CategoricalAxis\",i(140).CategoricalAxis),o(\"ContinuousAxis\",i(143).ContinuousAxis),o(\"DatetimeAxis\",i(144).DatetimeAxis),o(\"LinearAxis\",i(145).LinearAxis),o(\"LogAxis\",i(162).LogAxis),o(\"MercatorAxis\",i(165).MercatorAxis)},\n", " function _(t,e,i,s,a){s();const o=t(1);var l;const n=t(129),_=t(130),r=t(131),h=t(132),c=(0,o.__importStar)(t(48)),b=t(20),u=t(24),m=t(123),d=t(9),x=t(13),f=t(8),g=t(120),p=t(67),v=t(133),w=t(113),j=t(11),k=t(8),y=t(134),{abs:z}=Math;class M extends n.GuideRendererView{constructor(){super(...arguments),this._axis_label_view=null,this._major_label_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._init_axis_label(),await this._init_major_labels()}async _init_axis_label(){const{axis_label:t}=this.model;if(null!=t){const e=(0,k.isString)(t)?(0,y.parse_delimited_string)(t):t;this._axis_label_view=await(0,w.build_view)(e,{parent:this})}else this._axis_label_view=null}async _init_major_labels(){const{major_label_overrides:t}=this.model;for(const[e,i]of(0,x.entries)(t)){const t=(0,k.isString)(i)?(0,y.parse_delimited_string)(i):i;this._major_label_views.set(e,await(0,w.build_view)(t,{parent:this}))}}update_layout(){this.layout=new m.SideLayout(this.panel,(()=>this.get_size()),!0),this.layout.on_resize((()=>this._coordinates=void 0))}get_size(){const{visible:t,fixed_location:e}=this.model;if(t&&null==e&&this.is_renderable){const{extents:t}=this;return{width:0,height:Math.round(t.tick+t.tick_label+t.axis_label)}}return{width:0,height:0}}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const{tick_coords:e,extents:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,i),this._draw_major_ticks(s,i,e),this._draw_minor_ticks(s,i,e),this._draw_major_labels(s,i,e),this._draw_axis_label(s,i,e),null===(t=this._paint)||void 0===t||t.call(this,s,i,e),s.restore()}connect_signals(){super.connect_signals();const{axis_label:t,major_label_overrides:e}=this.model.properties;this.on_change(t,(async()=>{var t;null===(t=this._axis_label_view)||void 0===t||t.remove(),await this._init_axis_label()})),this.on_change(e,(async()=>{for(const t of this._major_label_views.values())t.remove();await this._init_major_labels()})),this.connect(this.model.change,(()=>this.plot_view.request_layout()))}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,o]=this.coordinates.map_to_screen(i,s),[l,n]=this.normals,[_,r]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e0?s+i+3:0}_draw_axis_label(t,e,i){if(null==this._axis_label_view||null!=this.model.fixed_location)return;const[s,a]=(()=>{const{bbox:t}=this.layout;switch(this.panel.side){case\"above\":return[t.hcenter,t.bottom];case\"below\":return[t.hcenter,t.top];case\"left\":return[t.right,t.vcenter];case\"right\":return[t.left,t.vcenter]}})(),[o,l]=this.normals,n=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:_,align:r}=this.panel.get_label_text_heuristics(\"parallel\"),h={sx:s+o*n,sy:a+l*n,x_anchor:r,y_anchor:_},c=this._axis_label_view.graphics();c.visuals=this.visuals.axis_label_text.values(),c.angle=this.panel.get_label_angle_heuristic(\"parallel\"),this.plot_view.base_font_size&&(c.base_font_size=this.plot_view.base_font_size),c.position=h,c.align=r,c.paint(t)}_draw_ticks(t,e,i,s,a){if(!a.doit)return;const[o,l]=e,[n,_]=this.coordinates.map_to_screen(o,l),[r,h]=this.normals,[c,b]=this.offsets,[u,m]=[r*(c-i),h*(b-i)],[d,x]=[r*(c+s),h*(b+s)];a.set_value(t),t.beginPath();for(let e=0;et.bbox())),M=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>z[t].left-z[e].right:(t,e)=>z[e].top-z[t].bottom:0==this.dimension?(t,e)=>z[e].left-z[t].right:(t,e)=>z[t].top-z[e].bottom})(),{major_label_policy:O}=this.model,T=O.filter(k,z,M),A=[...T.ones()];if(0!=A.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=z[e];if(i.left<0){const t=-i.left,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sx:s.sx+t})}else if(i.right>t.width){const s=i.right-t.width,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sx:a.sx-s})}},i=e=>{const i=z[e];if(i.top<0){const t=-i.top,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sy:s.sy+t})}else if(i.bottom>t.height){const s=i.bottom-t.height,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sy:a.sy-s})}},s=A[0],a=A[A.length-1];0==this.dimension?(e(s),e(a)):(i(s),i(a))}for(const e of T){y[e].paint(t)}}_tick_extent(){return this.model.major_tick_out}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,a)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:(0,d.sum)(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length||!s.doit)return 0;const a=this.panel.get_label_angle_heuristic(e);t.visuals=s.values(),t.angle=a,t.base_font_size=this.plot_view.base_font_size;const o=t.max_size(),l=0==this.dimension?o.height:o.width;return l>0?i+l+3:0}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.format_graphics(t,this),{_major_label_views:i}=this,s=new Set;for(let a=0;az(l-n)?(t=r(_(a,o),l),s=_(r(a,o),n)):(t=_(a,o),s=r(a,o)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=[new Array(2),new Array(2)];return o[t][0]=Math.max(s,i.min),o[t][1]=Math.min(a,i.max),o[t][0]>o[t][1]&&(o[t][0]=o[t][1]=NaN),o[e][0]=this.loc,o[e][1]=this.loc,o}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=this.model.ticker.get_ticks(s,a,i,this.loc),l=o.major,n=o.minor,_=[[],[]],r=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(_[t].push(l[i]),_[e].push(this.loc));for(let i=0;ic||(r[t].push(n[i]),r[e].push(this.loc));return{major:_,minor:r}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if((0,f.isNumber)(t))return t;const[,e]=this.ranges;if(e instanceof p.FactorRange)return e.synthetic(t);(0,j.unreachable)()}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}remove(){var t;null===(t=this._axis_label_view)||void 0===t||t.remove();for(const t of this._major_label_views.values())t.remove();super.remove()}has_finished(){if(!super.has_finished())return!1;if(null!=this._axis_label_view&&!this._axis_label_view.has_finished())return!1;for(const t of this._major_label_views.values())if(!t.has_finished())return!1;return!0}}i.AxisView=M,M.__name__=\"AxisView\";class O extends n.GuideRenderer{constructor(t){super(t)}}i.Axis=O,l=O,O.__name__=\"Axis\",l.prototype.default_view=M,l.mixins([[\"axis_\",c.Line],[\"major_tick_\",c.Line],[\"minor_tick_\",c.Line],[\"major_label_\",c.Text],[\"axis_label_\",c.Text]]),l.define((({Any:t,Int:e,Number:i,String:s,Ref:a,Dict:o,Tuple:l,Or:n,Nullable:c,Auto:u})=>({bounds:[n(l(i,i),u),\"auto\"],ticker:[a(_.Ticker)],formatter:[a(r.TickFormatter)],axis_label:[c(n(s,a(v.BaseText))),null],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[n(b.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[o(n(s,a(v.BaseText))),{}],major_label_policy:[a(h.LabelingPolicy),()=>new h.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[c(n(i,t)),null]}))),l.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})},\n", " function _(e,r,d,n,i){var s;n();const _=e(41);class u extends _.RendererView{}d.GuideRendererView=u,u.__name__=\"GuideRendererView\";class c extends _.Renderer{constructor(e){super(e)}}d.GuideRenderer=c,s=c,c.__name__=\"GuideRenderer\",s.override({level:\"guide\"})},\n", " function _(c,e,n,s,o){s();const r=c(53);class t extends r.Model{constructor(c){super(c)}}n.Ticker=t,t.__name__=\"Ticker\"},\n", " function _(t,o,r,e,c){e();const n=t(53),a=t(120);class m extends n.Model{constructor(t){super(t)}format_graphics(t,o){return this.doFormat(t,o).map((t=>new a.TextBox({text:t})))}compute(t,o){return this.doFormat([t],null!=o?o:{loc:0})[0]}v_compute(t,o){return this.doFormat(t,null!=o?o:{loc:0})}}r.TickFormatter=m,m.__name__=\"TickFormatter\"},\n", " function _(e,n,s,t,i){var c,r;t();const l=e(53),o=e(13),a=e(34),u=e(8),d=e(24);class _ extends l.Model{constructor(e){super(e)}}s.LabelingPolicy=_,_.__name__=\"LabelingPolicy\";class f extends _{constructor(e){super(e)}filter(e,n,s){return e}}s.AllLabels=f,f.__name__=\"AllLabels\";class m extends _{constructor(e){super(e)}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)({min_distance:[e,5]})));class b extends _{constructor(e){super(e)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}get func(){const e=(0,a.use_strict)(this.code);return new d.GeneratorFunction(\"indices\",\"bboxes\",\"distance\",...this.names,e)}filter(e,n,s){const t=Object.create(null),i=this.func.call(t,e,n,s,...this.values);let c=i.next();if(c.done&&void 0!==c.value){const{value:n}=c;return n instanceof d.Indices?n:void 0===n?e:(0,u.isIterable)(n)?d.Indices.from_indices(e.size,n):d.Indices.all_unset(e.size)}{const n=[];do{n.push(c.value),c=i.next()}while(!c.done);return d.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=b,r=b,b.__name__=\"CustomLabelingPolicy\",r.define((({Unknown:e,String:n,Dict:s})=>({args:[s(e),{}],code:[n,\"\"]})))},\n", " function _(e,s,t,n,a){var _;n();const x=e(53),c=e(42);class i extends c.View{}t.BaseTextView=i,i.__name__=\"BaseTextView\";class o extends x.Model{constructor(e){super(e)}}t.BaseText=o,_=o,o.__name__=\"BaseText\",_.define((({String:e})=>({text:[e]})))},\n", " function _(n,e,t,i,r){i();const s=n(135),l=n(139),d=[{start:\"$$\",end:\"$$\",inline:!1},{start:\"\\\\[\",end:\"\\\\]\",inline:!1},{start:\"\\\\(\",end:\"\\\\)\",inline:!0}];t.parse_delimited_string=function(n){for(const e of d){const t=n.indexOf(e.start),i=t+e.start.length;if(0==t){const t=n.indexOf(e.end,i),r=t;if(t==n.length-e.end.length)return new s.TeX({text:n.slice(i,r),inline:e.inline});break}}return new l.PlainText({text:n})}},\n", " function _(t,e,s,i,n){var o,r,a;i();const h=t(8),_=t(136),l=t(22),c=t(120),d=t(121),u=t(122),g=t(65),p=t(133),x=t(137);class m extends p.BaseTextView{constructor(){super(...arguments),this._position={sx:0,sy:0},this.align=\"left\",this._x_anchor=\"left\",this._y_anchor=\"center\",this._base_font_size=13,this.font_size_scale=1,this.svg_image=null}graphics(){return this}infer_text_height(){return\"ascent_descent\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}get has_image_loaded(){return null!=this.svg_image}_rect(){const{width:t,height:e}=this._size(),{x:s,y:i}=this._computed_position();return new g.BBox({x:s,y:i,width:t,height:e}).rect}set position(t){this._position=t}get position(){return this._position}get text(){return this.model.text}get provider(){return x.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>this.load_image())),\"loaded\"==this.provider.status&&await this.load_image()}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.text,(()=>this.load_image()))}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const o=t.font,{font_size_scale:r,_base_font_size:a}=this,h=(0,d.parse_css_font_size)(n);if(null!=h){let{value:t,unit:e}=h;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const _=`${i} ${n} ${o}`;this.font=_,this.color=(0,l.color2css)(e,s)}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:o=this._y_anchor}=this.position;return{x:s-(()=>{if((0,h.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,h.isNumber)(o))return o*e;switch(o){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}get_text_dimensions(){return{width:(0,c.text_width)(this.model.text,this.font),height:(0,d.font_metrics)(this.font).height}}get_image_dimensions(){var t,e,s,i;const n=parseFloat(null!==(e=null===(t=this.svg_element.getAttribute(\"height\"))||void 0===t?void 0:t.replace(/([A-z])/g,\"\"))&&void 0!==e?e:\"0\"),o=parseFloat(null!==(i=null===(s=this.svg_element.getAttribute(\"width\"))||void 0===s?void 0:s.replace(/([A-z])/g,\"\"))&&void 0!==i?i:\"0\");return{width:(0,d.font_metrics)(this.font).x_height*o,height:(0,d.font_metrics)(this.font).x_height*n}}_size(){return this.has_image_loaded?this.get_image_dimensions():this.get_text_dimensions()}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new g.BBox({left:n,right:r,top:o,bottom:a})}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new u.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e.x),o(e.y)),t.lineTo(o(s.x),o(s.y)),t.lineTo(o(i.x),o(i.y)),t.lineTo(o(n.x),o(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e),o(s)),t.lineTo(o(e),o(s+n)),t.lineTo(o(e+i),o(s+n)),t.lineTo(o(e+i),o(s)),t.closePath(),t.stroke(),t.restore()}async load_image(){if(null==this.provider.MathJax)return null;const t=this._process_text(this.model.text);if(null==t)return this._has_finished=!0,null;const e=t.children[0];this.svg_element=e,e.setAttribute(\"font\",this.font),e.setAttribute(\"stroke\",this.color);const s=e.outerHTML,i=new Blob([s],{type:\"image/svg+xml\"}),n=URL.createObjectURL(i);try{this.svg_image=await(0,_.load_image)(n)}finally{URL.revokeObjectURL(n)}return this.parent.request_layout(),this.svg_image}paint(t){t.save();const{sx:e,sy:s}=this.position;this.angle&&(t.translate(e,s),t.rotate(this.angle),t.translate(-e,-s));const{x:i,y:n}=this._computed_position();if(null!=this.svg_image){const{width:e,height:s}=this.get_image_dimensions();t.drawImage(this.svg_image,i,n,e,s)}else t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\",t.fillText(this.model.text,i,n+(0,d.font_metrics)(this.font).ascent);t.restore(),this._has_finished||\"failed\"!=this.provider.status&&!this.has_image_loaded||(this._has_finished=!0,this.parent.notify_finished_after_paint())}}s.MathTextView=m,m.__name__=\"MathTextView\";class f extends p.BaseText{constructor(t){super(t)}}s.MathText=f,f.__name__=\"MathText\";class v extends m{_process_text(t){}}s.AsciiView=v,v.__name__=\"AsciiView\";class y extends f{constructor(t){super(t)}}s.Ascii=y,o=y,y.__name__=\"Ascii\",o.prototype.default_view=v;class w extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.mathml2svg(t.trim())}}s.MathMLView=w,w.__name__=\"MathMLView\";class b extends f{constructor(t){super(t)}}s.MathML=b,r=b,b.__name__=\"MathML\",r.prototype.default_view=w;class M extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.tex2svg(t,void 0,this.model.macros)}}s.TeXView=M,M.__name__=\"TeXView\";class T extends f{constructor(t){super(t)}}s.TeX=T,a=T,T.__name__=\"TeX\",a.prototype.default_view=M,a.define((({Boolean:t,Number:e,String:s,Dict:i,Tuple:n,Or:o})=>({macros:[i(o(s,n(s,e))),{}],inline:[t,!1]})))},\n", " function _(i,e,t,s,o){s();const a=i(19);t.load_image=async function(i,e){return new n(i,e).promise};class n{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:s=1}=e;this.promise=new Promise(((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const s=`unable to load ${i} image after ${t} attempts`;if(a.logger.warn(s),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());a.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout((()=>this._image.src=i),s)},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(){if(this._finished)return this._image;throw new Error(\"not loaded yet\")}}t.ImageLoader=n,n.__name__=\"ImageLoader\"},\n", " function _(t,e,a,s,n){var r=this&&this.__createBinding||(Object.create?function(t,e,a,s){void 0===s&&(s=a),Object.defineProperty(t,s,{enumerable:!0,get:function(){return e[a]}})}:function(t,e,a,s){void 0===s&&(s=a),t[s]=e[a]}),i=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),d=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var a in t)\"default\"!==a&&Object.prototype.hasOwnProperty.call(t,a)&&r(e,t,a);return i(e,t),e};s();const o=t(15),u=t(138);class c{constructor(){this.ready=new o.Signal0(this,\"ready\"),this.status=\"not_started\"}}a.MathJaxProvider=c,c.__name__=\"MathJaxProvider\";class h extends c{get MathJax(){return null}async fetch(){this.status=\"failed\"}}a.NoProvider=h,h.__name__=\"NoProvider\";class l extends c{get MathJax(){return\"undefined\"!=typeof MathJax?MathJax:null}async fetch(){const t=document.createElement(\"script\");t.src=\"https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js\",t.onload=()=>{this.status=\"loaded\",this.ready.emit()},t.onerror=()=>{this.status=\"failed\"},this.status=\"loading\",document.head.appendChild(t)}}a.CDNProvider=l,l.__name__=\"CDNProvider\";class _ extends c{get MathJax(){return this._mathjax}async fetch(){this.status=\"loading\";try{const e=await(0,u.load_module)(Promise.resolve().then((()=>d(t(515)))));this._mathjax=e,this.status=\"loaded\",this.ready.emit()}catch(t){this.status=\"failed\"}}}a.BundleProvider=_,_.__name__=\"BundleProvider\",a.default_provider=new _},\n", " function _(n,r,o,t,c){t(),o.load_module=async function(n){try{return await n}catch(n){if((r=n)instanceof Error&&\"code\"in r&&\"MODULE_NOT_FOUND\"===n.code)return null;throw n}var r}},\n", " function _(e,t,i,n,s){var a;n();const x=e(133),_=e(120);class l extends x.BaseTextView{initialize(){super.initialize(),this._has_finished=!0}graphics(){return new _.TextBox({text:this.model.text})}}i.PlainTextView=l,l.__name__=\"PlainTextView\";class r extends x.BaseText{constructor(e){super(e)}}i.PlainText=r,a=r,r.__name__=\"PlainText\",a.prototype.default_view=l},\n", " function _(t,s,o,e,i){e();const r=t(1);var a;const l=t(128),_=t(141),n=t(142),p=(0,r.__importStar)(t(48)),c=t(20),h=t(120),m=t(8);class u extends l.AxisView{_paint(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&&pnew h.GraphicsBoxes(t.map((t=>(0,m.isString)(t)?new h.TextBox({text:t}):t))),_=t=>l(this.model.formatter.doFormat(t,this));if(1==t.levels){const t=_(i.major);a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=_(i.major.map((t=>t[1])));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(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=i.mids.map((t=>t[1]));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(s),r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([l(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((()=>this.loc)),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map((()=>this.loc))),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map((()=>this.loc))),a}}o.CategoricalAxisView=u,u.__name__=\"CategoricalAxisView\";class d extends l.Axis{constructor(t){super(t)}}o.CategoricalAxis=d,a=d,d.__name__=\"CategoricalAxis\",a.prototype.default_view=u,a.mixins([[\"separator_\",p.Line],[\"group_\",p.Text],[\"subgroup_\",p.Text]]),a.define((({Number:t,Or:s})=>({group_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"],subgroup_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"]}))),a.override({ticker:()=>new _.CategoricalTicker,formatter:()=>new n.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})},\n", " function _(t,c,o,s,e){s();const r=t(130);class i extends r.Ticker{constructor(t){super(t)}get_ticks(t,c,o,s){var e,r;return{major:this._collect(o.factors,o,t,c),minor:[],tops:this._collect(null!==(e=o.tops)&&void 0!==e?e:[],o,t,c),mids:this._collect(null!==(r=o.mids)&&void 0!==r?r:[],o,t,c)}}_collect(t,c,o,s){const e=[];for(const r of t){const t=c.synthetic(r);t>o&&tnew _.DatetimeTicker,formatter:()=>new m.DatetimeTickFormatter})},\n", " function _(e,i,s,n,r){var t;n();const a=e(143),o=e(146),c=e(147);class _ extends a.ContinuousAxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class u extends a.ContinuousAxis{constructor(e){super(e)}}s.LinearAxis=u,t=u,u.__name__=\"LinearAxis\",t.prototype.default_view=_,t.override({ticker:()=>new c.BasicTicker,formatter:()=>new o.BasicTickFormatter})},\n", " function _(i,t,e,n,o){var r;n();const s=i(131),c=i(34);function _(i){let t=\"\";for(const e of i)t+=\"-\"==e?\"\\u2212\":e;return t}e.unicode_replace=_;class a extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 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,n=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const o of i){const i=Math.abs(o);if(!(i<=n)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){return t?i.map((i=>_(i.toExponential(e)))):i.map((i=>_((0,c.to_fixed)(i,e))))}_auto_precision(i,t){const e=new Array(i.length),n=this.last_precision<=15;i:for(let o=this.last_precision;n?o<=15:o>=1;n?o++:o--){if(t){e[0]=i[0].toExponential(o);for(let t=1;t({precision:[n(t,e),\"auto\"],use_scientific:[i,!0],power_limit_high:[t,5],power_limit_low:[t,-3]})))},\n", " function _(c,e,s,i,n){i();const r=c(148);class t extends r.AdaptiveTicker{constructor(c){super(c)}}s.BasicTicker=t,t.__name__=\"BasicTicker\"},\n", " function _(t,i,a,s,e){var n;s();const r=t(149),_=t(9),l=t(10);class h extends r.ContinuousTicker{constructor(t){super(t)}get_min_interval(){return this.min_interval}get_max_interval(){var t;return null!==(t=this.max_interval)&&void 0!==t?t:1/0}initialize(){super.initialize();const t=(0,_.nth)(this.mantissas,-1)/this.base,i=(0,_.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 s=i-t,e=this.get_ideal_interval(t,i,a),n=Math.floor((0,l.log)(e/this.base_factor,this.base)),r=this.base**n*this.base_factor,h=this.extended_mantissas,m=h.map((t=>Math.abs(a-s/(t*r)))),v=h[(0,_.argmin)(m)]*r;return(0,l.clamp)(v,this.get_min_interval(),this.get_max_interval())}}a.AdaptiveTicker=h,n=h,h.__name__=\"AdaptiveTicker\",n.define((({Number:t,Array:i,Nullable:a})=>({base:[t,10],mantissas:[i(t),[1,2,5]],min_interval:[t,0],max_interval:[a(t),null]})))},\n", " function _(t,n,i,s,e){var o;s();const r=t(130),c=t(9);class _ extends r.Ticker{constructor(t){super(t)}get_ticks(t,n,i,s){return this.get_ticks_no_defaults(t,n,s,this.desired_num_ticks)}get_ticks_no_defaults(t,n,i,s){const e=this.get_interval(t,n,s),o=Math.floor(t/e),r=Math.ceil(n/e);let _;_=isFinite(o)&&isFinite(r)?(0,c.range)(o,r+1):[];const u=_.map((t=>t*e)).filter((i=>t<=i&&i<=n)),a=this.num_minor_ticks,f=[];if(a>0&&u.length>0){const i=e/a,s=(0,c.range)(0,a).map((t=>t*i));for(const i of s.slice(1)){const s=u[0]-i;t<=s&&s<=n&&f.push(s)}for(const i of u)for(const e of s){const s=i+e;t<=s&&s<=n&&f.push(s)}}return{major:u,minor:f}}get_ideal_interval(t,n,i){return(n-t)/i}}i.ContinuousTicker=_,o=_,_.__name__=\"ContinuousTicker\",o.define((({Int:t})=>({num_minor_ticks:[t,5],desired_num_ticks:[t,6]})))},\n", " function _(s,t,e,n,i){n();var r;const o=(0,s(1).__importDefault)(s(151)),a=s(131),c=s(19),u=s(152),m=s(9),h=s(8);function d(s){return(0,o.default)(s,\"%Y %m %d %H %M %S\").split(/\\s+/).map((s=>parseInt(s,10)))}function l(s,t){if((0,h.isFunction)(t))return t(s);{const 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c.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:T.ONE_HOUR,max_interval:12*T.ONE_HOUR,num_minor_ticks:0}),new _.DaysTicker({days:(0,t.range)(1,32)}),new _.DaysTicker({days:(0,t.range)(1,31,3)}),new _.DaysTicker({days:[1,8,15,22]}),new _.DaysTicker({days:[1,15]}),new k.MonthsTicker({months:(0,t.range)(0,12,1)}),new k.MonthsTicker({months:(0,t.range)(0,12,2)}),new k.MonthsTicker({months:(0,t.range)(0,12,4)}),new k.MonthsTicker({months:(0,t.range)(0,12,6)}),new o.YearsTicker({})]})},\n", " function _(t,e,i,r,s){var n;r();const _=t(149),a=t(9);class l extends _.ContinuousTicker{constructor(t){super(t)}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 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n;s();const r=e(143),_=e(163),c=e(164);class a extends r.ContinuousAxisView{}i.LogAxisView=a,a.__name__=\"LogAxisView\";class u extends r.ContinuousAxis{constructor(e){super(e)}}i.LogAxis=u,n=u,u.__name__=\"LogAxis\",n.prototype.default_view=a,n.override({ticker:()=>new c.LogTicker,formatter:()=>new _.LogTickFormatter})},\n", " function _(e,t,n,o,r){var i;o();const a=e(131),s=e(146),c=e(164),l=e(120),{abs:u,log:x,round:_}=Math;class p extends a.TickFormatter{constructor(e){super(e)}initialize(){super.initialize(),this.basic_formatter=new s.BasicTickFormatter}format_graphics(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.format_graphics(e,t):i.map((e=>{if(u(e)u(e)({ticker:[n(t(c.LogTicker)),null],min_exponent:[e,0]})))},\n", " function _(t,o,e,s,n){var r;s();const i=t(148),a=t(9);class c extends i.AdaptiveTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,e,s){const n=this.num_minor_ticks,r=[],i=this.base,c=Math.log(t)/Math.log(i),f=Math.log(o)/Math.log(i),l=f-c;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,s),i=Math.floor(t/e),c=Math.ceil(o/e);if(h=(0,a.range)(i,c+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),n>0&&h.length>0){const t=e/n,o=(0,a.range)(0,n).map((o=>o*t));for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*c),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=(0,a.range)(t-1,o+1,e).map((t=>i**t)),n>0&&h.length>0){const t=i**e/n,o=(0,a.range)(1,n+1).map((o=>o*t));for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:r.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,r=c,c.__name__=\"LogTicker\",r.override({mantissas:[1,5]})},\n", " function _(e,r,t,i,a){var o;i();const s=e(128),c=e(145),n=e(166),_=e(167);class x extends s.AxisView{}t.MercatorAxisView=x,x.__name__=\"MercatorAxisView\";class d extends c.LinearAxis{constructor(e){super(e)}}t.MercatorAxis=d,o=d,d.__name__=\"MercatorAxis\",o.prototype.default_view=x,o.override({ticker:()=>new _.MercatorTicker({dimension:\"lat\"}),formatter:()=>new n.MercatorTickFormatter({dimension:\"lat\"})})},\n", " function _(r,t,e,o,n){var i;o();const c=r(146),s=r(20),a=r(78);class l extends c.BasicTickFormatter{constructor(r){super(r)}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n({dimension:[r(s.LatLon),null]})))},\n", " function _(t,o,n,s,r){var e;s();const i=t(147),c=t(20),_=t(78);class a extends i.BasicTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,n,s){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=(0,_.clip_mercator)(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,s):this._get_ticks_lat(t,o,n,s)}_get_ticks_lon(t,o,n,s){const[r]=_.wgs84_mercator.invert(t,n),[e,i]=_.wgs84_mercator.invert(o,n),c=super.get_ticks_no_defaults(r,e,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,s){const[,r]=_.wgs84_mercator.invert(n,t),[e,i]=_.wgs84_mercator.invert(n,o),c=super.get_ticks_no_defaults(r,i,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=a,e=a,a.__name__=\"MercatorTicker\",e.define((({Nullable:t})=>({dimension:[t(c.LatLon),null]})))},\n", " function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(148).AdaptiveTicker),k(\"BasicTicker\",e(147).BasicTicker),k(\"CategoricalTicker\",e(141).CategoricalTicker),k(\"CompositeTicker\",e(156).CompositeTicker),k(\"ContinuousTicker\",e(149).ContinuousTicker),k(\"DatetimeTicker\",e(155).DatetimeTicker),k(\"DaysTicker\",e(157).DaysTicker),k(\"FixedTicker\",e(169).FixedTicker),k(\"LogTicker\",e(164).LogTicker),k(\"MercatorTicker\",e(167).MercatorTicker),k(\"MonthsTicker\",e(160).MonthsTicker),k(\"SingleIntervalTicker\",e(158).SingleIntervalTicker),k(\"Ticker\",e(130).Ticker),k(\"YearsTicker\",e(161).YearsTicker),k(\"BinnedTicker\",e(170).BinnedTicker)},\n", " function _(r,t,e,i,n){var s;i();const _=r(149);class c extends _.ContinuousTicker{constructor(r){super(r)}get_ticks_no_defaults(r,t,e,i){return{major:this.ticks,minor:this.minor_ticks}}get_interval(r,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=c,s=c,c.__name__=\"FixedTicker\",s.define((({Number:r,Array:t})=>({ticks:[t(r),[]],minor_ticks:[t(r),[]]})))},\n", " function _(e,n,t,r,i){var o;r();const a=e(130),s=e(171),c=e(12);class m extends a.Ticker{constructor(e){super(e)}get_ticks(e,n,t,r){const{binning:i}=this.mapper.metrics,o=Math.max(0,(0,c.left_edge_index)(e,i)),a=Math.min((0,c.left_edge_index)(n,i)+1,i.length-1),s=[];for(let e=o;e<=a;e++)s.push(i[e]);const{num_major_ticks:m}=this,_=[],h=\"auto\"==m?s.length:m,l=Math.max(1,Math.floor(s.length/h));for(let e=0;e({mapper:[n(s.ScanningColorMapper)],num_major_ticks:[t(e,r),8]})))},\n", " function _(n,e,i,r,o){r();const t=n(172),a=n(12);class c extends t.ContinuousColorMapper{constructor(n){super(n)}cmap(n,e,i,r,o){if(no.binning[o.binning.length-1])return r;return e[(0,a.left_edge_index)(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n", " function _(t,e,o,n,s){var l;n();const c=t(173),i=t(175),a=t(9),h=t(8);class r extends c.ColorMapper{constructor(t){super(t),this._scan_data=null}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,(()=>this.update_data())),this.connect(t.data_source.selected.change,(()=>this.update_data()))};this.connect(this.properties.domain.change,(()=>t())),t()}update_data(){const{domain:t,palette:e}=this,o=[...this._collect(t)];this._scan_data=this.scan(o,e.length),this.metrics_change.emit(),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[e,o]of t)for(const t of(0,h.isArray)(o)?o:[o]){let o=e.data_source.get_column(t);o=e.view.indices.select(o);const n=e.view.masked,s=e.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=(0,a.intersection)([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(o=(0,a.map)(l,(t=>o[t]))),o.length>0&&!(0,h.isNumber)(o[0]))for(const t of o)yield*t;else yield*o}}_v_compute(t,e,o,n){const{nan_color:s}=n;let{low_color:l,high_color:c}=n;null==l&&(l=o[0]),null==c&&(c=o[o.length-1]);const{domain:i}=this,h=(0,a.is_empty)(i)?t:[...this._collect(i)];this._scan_data=this.scan(h,o.length),this.metrics_change.emit();for(let n=0,i=t.length;n({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(o(i.GlyphRenderer),s(e,c(e)))),[]]})))},\n", " function _(e,r,t,n,o){var a;n();const c=e(174),i=e(15),_=e(24),l=e(22),s=e(27);function p(e){return(0,l.encode_rgba)((0,l.color2rgba)(e))}function u(e){const r=new Uint32Array(e.length);for(let t=0,n=e.length;te))),r}get rgba_mapper(){const e=this,r=u(this.palette),t=this._colors(p);return{v_compute(n){const o=new _.ColorArray(n.length);return e._v_compute(n,o,r,t),new Uint8ClampedArray((0,s.to_big_endian)(o).buffer)}}}_colors(e){return{nan_color:e(this.nan_color)}}}t.ColorMapper=h,a=h,h.__name__=\"ColorMapper\",a.define((({Color:e,Array:r})=>({palette:[r(e)],nan_color:[e,\"gray\"]})))},\n", " function _(r,e,n,s,o){s();const p=r(56);class t extends p.Transform{constructor(r){super(r)}compute(r){throw new Error(\"mapping single values is not supported\")}}n.Mapper=t,t.__name__=\"Mapper\"},\n", " function _(e,t,i,s,l){var h;s();const n=e(176),o=e(177),a=e(186),c=e(187),_=e(189),r=e(179),d=e(70),p=e(190),g=e(24),u=e(12),y=e(9),m=e(13),v=e(113),f=e(67),w={fill:{},line:{}},b={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},V={fill:{fill_alpha:.2},line:{}},x={fill:{},line:{}},G={fill:{fill_alpha:.2},line:{}};class R extends n.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e;await super.lazy_initialize();const t=this.model.glyph;this.glyph=await this.build_glyph_view(t);const i=\"fill\"in this.glyph.visuals,s=\"line\"in this.glyph.visuals,l=Object.assign({},t.attributes);function h(e){const h=(0,m.clone)(l);return i&&(0,m.extend)(h,e.fill),s&&(0,m.extend)(h,e.line),new t.constructor(h)}function n(e,t){return t instanceof r.Glyph?t:h(\"auto\"==t?e:{fill:{},line:{}})}delete l.id;let{selection_glyph:o,nonselection_glyph:a,hover_glyph:c,muted_glyph:_}=this.model;o=n(w,o),this.selection_glyph=await this.build_glyph_view(o),a=n(V,a),this.nonselection_glyph=await this.build_glyph_view(a),c=n(x,c),this.hover_glyph=await this.build_glyph_view(c),_=n(G,_),this.muted_glyph=await this.build_glyph_view(_);const d=n(b,\"auto\");this.decimated_glyph=await this.build_glyph_view(d),this.selection_glyph.set_base(this.glyph),this.nonselection_glyph.set_base(this.glyph),null===(e=this.hover_glyph)||void 0===e||e.set_base(this.glyph),this.muted_glyph.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return(0,v.build_view)(e,{parent:this})}remove(){var e;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),this.muted_glyph.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals();const e=()=>this.request_render(),t=()=>this.update_data();this.connect(this.model.change,e),this.connect(this.glyph.model.change,t),this.connect(this.selection_glyph.model.change,t),this.connect(this.nonselection_glyph.model.change,t),null!=this.hover_glyph&&this.connect(this.hover_glyph.model.change,t),this.connect(this.muted_glyph.model.change,t),this.connect(this.decimated_glyph.model.change,t),this.connect(this.model.data_source.change,t),this.connect(this.model.data_source.streaming,t),this.connect(this.model.data_source.patching,(e=>this.update_data(e))),this.connect(this.model.data_source.selected.change,e),this.connect(this.model.data_source._select,e),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,e),this.connect(this.model.properties.view.change,t),this.connect(this.model.view.properties.indices.change,t),this.connect(this.model.view.properties.masked.change,(()=>this.set_visuals())),this.connect(this.model.properties.visible.change,(()=>this.plot_view.invalidate_dataranges=!0));const{x_ranges:i,y_ranges:s}=this.plot_view.frame;for(const[,e]of i)e instanceof f.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof f.FactorRange&&this.connect(e.change,t);const{transformchange:l,exprchange:h}=this.model.glyph;this.connect(l,t),this.connect(h,t)}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}update_data(e){this.set_data(e),this.request_render()}set_data(e){const t=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:i}=this;this.glyph.set_data(t,i,e),this.set_visuals(),this._update_masked_indices();const{lod_factor:s}=this.plot_model,l=this.all_indices.count;this.decimated=new g.Indices(l);for(let e=0;e!n||n.is_empty()?[]:n.selected_glyph?this.model.view.convert_indices_from_subset(i):n.indices.length>0?n.indices:Object.keys(n.multiline_indices).map((e=>parseInt(e))))()),d=(0,u.filter)(i,(e=>r.has(t[e]))),{lod_threshold:p}=this.plot_model;let g,m,v;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],g=this.decimated_glyph,m=this.decimated_glyph,v=this.selection_glyph):(g=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,m=this.nonselection_glyph,v=this.selection_glyph),null!=this.hover_glyph&&d.length&&(i=(0,y.difference)(i,d)),h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,n=new Array;if(this.glyph instanceof o.LineView)for(const i of t)null!=e[i]?l.push(i):n.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):n.push(s);m.render(s,n),v.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof o.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):this.hover_glyph.render(s,d))}else if(this.glyph instanceof o.LineView)this.hover_glyph&&d.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):g.render(s,t);else if(this.glyph instanceof a.PatchView||this.glyph instanceof c.HAreaView||this.glyph instanceof _.VAreaView)if(0==n.selected_glyphs.length||null==this.hover_glyph)g.render(s,t);else for(const e of n.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else g.render(s,i),this.hover_glyph&&d.length&&this.hover_glyph.render(s,d);s.restore()}draw_legend(e,t,i,s,l,h,n,o){0!=this.glyph.data_size&&(null==o&&(o=this.model.get_reference_point(h,n)),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=R,R.__name__=\"GlyphRendererView\";class k extends n.DataRenderer{constructor(e){super(e)}initialize(){super.initialize(),this.view.source!=this.data_source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){if(null!=e){const i=this.data_source.get_column(e);if(null!=i)for(const[e,s]of Object.entries(this.view.indices_map))if(i[parseInt(e)]==t)return s}return 0}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=k,h=k,k.__name__=\"GlyphRenderer\",h.prototype.default_view=R,h.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(d.ColumnarDataSource)],view:[s(p.CDSView),e=>new p.CDSView({source:e.data_source})],glyph:[s(r.Glyph)],hover_glyph:[h(s(r.Glyph)),null],nonselection_glyph:[i(s(r.Glyph),t,l),\"auto\"],selection_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted:[e,!1]})))},\n", " function _(e,r,t,a,n){var s;a();const c=e(41);class _ extends c.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=_,_.__name__=\"DataRendererView\";class i extends c.Renderer{constructor(e){super(e)}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=i,s=i,i.__name__=\"DataRenderer\",s.override({level:\"glyph\"})},\n", " function _(e,t,i,s,n){s();const l=e(1);var _;const r=e(178),o=e(184),a=(0,l.__importStar)(e(48)),h=(0,l.__importStar)(e(185)),c=e(72);class d extends r.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{LineGL:i}=await Promise.resolve().then((()=>(0,l.__importStar)(e(421))));this.glglyph=new i(t.regl_wrapper,this)}}_render(e,t,i){const{sx:s,sy:n}=null!=i?i:this;let l=!0;e.beginPath();for(const i of t){const t=s[i],_=n[i];isFinite(t+_)?l?(e.moveTo(t,_),l=!1):e.lineTo(t,_):l=!0}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const t=new c.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.line_width.value/2);for(let e=0,l=this.sx.length-1;e({x:[c.XCoordinateSpec,{field:\"x\"}],y:[c.YCoordinateSpec,{field:\"y\"}]})))},\n", " function _(e,t,s,i,n){i();const r=e(1),a=(0,r.__importStar)(e(18)),o=(0,r.__importStar)(e(65)),_=(0,r.__importStar)(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(180),p=e(12),g=e(26),y=e(181),x=e(67),v=e(72),{abs:b,ceil:m}=Math;class w extends l.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:e}=this;if(null!=e)return e;throw new Error(`${this}.index_data() wasn't called`)}get data_size(){const{_data_size:e}=this;if(null!=e)return e;throw new Error(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||this._render(e,t,null!=s?s:this.base)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;em(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,(0,u.isString)(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&(0,g.is_equal)(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${s.attr}`]});continue}}const n=s.uniform(e).select(t);this._configure(s,{value:n})}for(const e of this.visuals)e.update();this._set_visuals(),null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}_set_visuals(){}set_data(e,t,s){var i;const{x_source:n,y_source:r}=this.renderer.coordinates,o=new Set(this._iter_visuals());this._data_size=t.count;for(const s of this.model)if((s instanceof a.VectorSpec||s instanceof a.ScalarSpec)&&!o.has(s))if(s instanceof a.BaseCoordinateSpec){const i=s.array(e);let o=t.select(i);const _=\"x\"==s.dimension?n:r;if(_ instanceof x.FactorRange)if(s instanceof a.CoordinateSpec)o=_.v_synthetic(o);else if(s instanceof a.CoordinateSeqSpec)for(let e=0;e{const s=new Uint32Array(r);for(let a=0;a>1;t[s]>i?e=s:n=s+1}return t[n]}class r extends d.default{get boxes(){return this._boxes}search_indices(i,t,n,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const d=[],x=new o.Indices(this.numItems);for(;void 0!==s;){const o=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h>2],r=this._boxes[h+0],l=this._boxes[h+1],a=this._boxes[h+2],_=this._boxes[h+3];na||t>_||(s<4*this.numItems?x.set(o):d.push(o)))}s=d.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(i){this.index=null,i>0&&(this.index=new r(i))}add_rect(i,t,n,e){var s;isFinite(i+t+n+e)?null===(s=this.index)||void 0===s||s.add(i,t,n,e):this.add_empty()}add_point(i,t){var n;isFinite(i+t)?null===(n=this.index)||void 0===n||n.add(i,t,i,t):this.add_empty()}add_empty(){var i;null===(i=this.index)||void 0===i||i.add(1/0,1/0,-1/0,-1/0)}finish(){var i;null===(i=this.index)||void 0===i||i.finish()}_normalize(i){let{x0:t,y0:n,x1:e,y1:s}=i;return t>e&&([t,e]=[e,t]),n>s&&([n,s]=[s,n]),{x0:t,y0:n,x1:e,y1:s}}get bbox(){if(null==this.index)return(0,x.empty)();{const{minX:i,minY:t,maxX:n,maxY:e}=this.index;return{x0:i,y0:t,x1:n,y1:e}}}indices(i){if(null==this.index)return new o.Indices(0);{const{x0:t,y0:n,x1:e,y1:s}=this._normalize(i);return this.index.search_indices(t,n,e,s)}}bounds(i){const t=(0,x.empty)();if(null==this.index)return t;const{boxes:n}=this.index;for(const e of this.indices(i)){const s=n[4*e+0],d=n[4*e+1],o=n[4*e+2],x=n[4*e+3];s>=i.x0&&st.x1&&(t.x1=o),d>=i.y0&&dt.y1&&(t.y1=x)}return t}}n.SpatialIndex=l,l.__name__=\"SpatialIndex\"},\n", " function _(t,s,i,e,h){e();const n=(0,t(1).__importDefault)(t(183)),o=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class r{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 format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[h]=new Uint32Array(t,4,1);return new r(h,e,o[15&i],t)}constructor(t,s=16,i=Float64Array,e){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let h=t,r=h;this._levelBounds=[4*h];do{h=Math.ceil(h/this.nodeSize),r+=h,this._levelBounds.push(4*r)}while(1!==h);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=o.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);e&&e instanceof ArrayBuffer?(this.data=e,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new 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 n.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}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}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;const o=[],r=[];for(;void 0!==n;){const a=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let _=n;_>2];ithis._boxes[_+2]||s>this._boxes[_+3]||(n<4*this.numItems?(void 0===h||h(a))&&r.push(a):o.push(a)))}n=o.pop()}return r}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 o=this._queue,r=[],x=e*e;for(;void 0!==n;){const 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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 x=t^s,d=e|65535^(x|i);return x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),(d<<1|x)>>>0}i.default=r},\n", " function _(s,t,i,h,e){h();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,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,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 h=0;for(;h=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n", " function _(e,n,a,t,i){t();const l=(0,e(1).__importStar)(e(185));function r(e,n,{x0:a,x1:t,y0:i,y1:l},r){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n,r),n.restore()}function c(e,n,{x0:a,x1:t,y0:i,y1:l},r){var c,o;const _=.1*Math.abs(t-a),s=.1*Math.abs(l-i),y=a+_,p=t-_,g=i+s,h=l-s;n.beginPath(),n.rect(y,g,p-y,h-g),e.fill.apply(n,r),null===(c=e.hatch)||void 0===c||c.apply(n,r),null===(o=e.line)||void 0===o||o.apply(n,r)}a.generic_line_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n),n.restore()},a.generic_line_vector_legend=r,a.generic_line_legend=r,a.generic_area_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){var r,c;const o=.1*Math.abs(t-a),_=.1*Math.abs(l-i),s=a+o,y=t-o,p=i+_,g=l-_;n.beginPath(),n.rect(s,p,y-s,g-p),e.fill.apply(n),null===(r=e.hatch)||void 0===r||r.apply(n),null===(c=e.line)||void 0===c||c.apply(n)},a.generic_area_vector_legend=c,a.generic_area_legend=c,a.line_interpolation=function(e,n,a,t,i,r){const{sx:c,sy:o}=n;let _,s,y,p;\"point\"==n.type?([y,p]=e.yscale.r_invert(o-1,o+1),[_,s]=e.xscale.r_invert(c-1,c+1)):\"v\"==n.direction?([y,p]=e.yscale.r_invert(o,o),[_,s]=[Math.min(a-1,i-1),Math.max(a+1,i+1)]):([_,s]=e.xscale.r_invert(c,c),[y,p]=[Math.min(t-1,r-1),Math.max(t+1,r+1)]);const{x:g,y:h}=l.check_2_segments_intersect(_,y,s,p,a,t,i,r);return[g,h]}},\n", " function _(t,n,e,i,r){function s(t,n){return(t.x-n.x)**2+(t.y-n.y)**2}function o(t,n,e){const i=s(n,e);if(0==i)return s(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;if(r<0)return s(t,n);if(r>1)return s(t,e);return s(t,{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}i(),e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let u=0;u0&&_<1&&h>0&&h<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n", " function _(t,s,e,i,a){i();const l=t(1);var n;const _=t(178),o=t(184),c=(0,l.__importStar)(t(185)),h=(0,l.__importStar)(t(48)),r=t(72);class p extends _.XYGlyphView{_render(t,s,e){const{sx:i,sy:a}=null!=e?e:this;let l=!0;t.beginPath();for(const e of s){const s=i[e],n=a[e];isFinite(s+n)?l?(t.moveTo(s,n),l=!1):t.lineTo(s,n):(t.closePath(),l=!0)}t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t)}draw_legend_for_index(t,s,e){(0,o.generic_area_scalar_legend)(this.visuals,t,s)}_hit_point(t){const s=new r.Selection;return c.point_in_poly(t.sx,t.sy,this.sx,this.sy)&&(s.add_to_selected_glyphs(this.model),s.view=this),s}}e.PatchView=p,p.__name__=\"PatchView\";class d extends _.XYGlyph{constructor(t){super(t)}}e.Patch=d,n=d,d.__name__=\"Patch\",n.prototype.default_view=p,n.mixins([h.LineScalar,h.FillScalar,h.HatchScalar])},\n", " function _(e,t,s,i,r){i();const n=e(1);var a;const _=e(24),h=e(188),o=(0,n.__importStar)(e(185)),l=(0,n.__importStar)(e(18)),c=e(72);class d extends h.AreaView{_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let r=0;r=0;t--)e.lineTo(r[t],n[t]);e.closePath(),this.visuals.fill.apply(e),this.visuals.hatch.apply(e)}_hit_point(e){const t=this.sy.length,s=new _.ScreenArray(2*t),i=new _.ScreenArray(2*t);for(let e=0,r=t;e({x1:[l.XCoordinateSpec,{field:\"x1\"}],x2:[l.XCoordinateSpec,{field:\"x2\"}],y:[l.YCoordinateSpec,{field:\"y\"}]})))},\n", " function _(e,a,r,_,s){_();const n=e(1);var c;const i=e(179),l=e(184),t=(0,n.__importStar)(e(48));class o extends i.GlyphView{draw_legend_for_index(e,a,r){(0,l.generic_area_scalar_legend)(this.visuals,e,a)}}r.AreaView=o,o.__name__=\"AreaView\";class d extends i.Glyph{constructor(e){super(e)}}r.Area=d,c=d,d.__name__=\"Area\",c.mixins([t.FillScalar,t.HatchScalar])},\n", " function _(e,t,s,i,r){i();const n=e(1);var a;const _=e(24),h=e(188),o=(0,n.__importStar)(e(185)),l=(0,n.__importStar)(e(18)),c=e(72);class y extends h.AreaView{_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let r=0;r=0;t--)e.lineTo(i[t],n[t]);e.closePath(),this.visuals.fill.apply(e),this.visuals.hatch.apply(e)}scenterxy(e){return[this.sx[e],(this.sy1[e]+this.sy2[e])/2]}_hit_point(e){const t=this.sx.length,s=new _.ScreenArray(2*t),i=new _.ScreenArray(2*t);for(let e=0,r=t;e({x:[l.XCoordinateSpec,{field:\"x\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],y2:[l.YCoordinateSpec,{field:\"y2\"}]})))},\n", " function _(e,i,s,t,n){var c;t();const o=e(53),r=e(24),u=e(191),_=e(70);class a extends o.Model{constructor(e){super(e)}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,(()=>this.compute_indices()));const e=()=>{const e=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,e),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,e),this.connect(this.source.patching,e)))};let i=null!=this.source;i?e():this.connect(this.properties.source.change,(()=>{i||(e(),i=!0)}))}compute_indices(){var e;const{source:i}=this;if(null==i)return;const s=null!==(e=i.get_length())&&void 0!==e?e:1,t=r.Indices.all_set(s);for(const e of this.filters)t.intersect(e.compute_indices(i));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let e=0;ethis._indices[e]))}convert_selection_to_subset(e){return e.map((e=>this.indices_map[e]))}convert_indices_from_subset(e){return e.map((e=>this._indices[e]))}}s.CDSView=a,c=a,a.__name__=\"CDSView\",c.define((({Array:e,Ref:i})=>({filters:[e(i(u.Filter)),[]],source:[i(_.ColumnarDataSource)]}))),c.internal((({Int:e,Dict:i,Ref:s,Nullable:t})=>({indices:[s(r.Indices)],indices_map:[i(e),{}],masked:[t(s(r.Indices)),null]})))},\n", " function _(e,t,n,s,c){s();const o=e(53);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\n", " function _(t,r,a,e,c){e(),c(\"BasicTickFormatter\",t(146).BasicTickFormatter),c(\"CategoricalTickFormatter\",t(142).CategoricalTickFormatter),c(\"DatetimeTickFormatter\",t(150).DatetimeTickFormatter),c(\"FuncTickFormatter\",t(193).FuncTickFormatter),c(\"LogTickFormatter\",t(163).LogTickFormatter),c(\"MercatorTickFormatter\",t(166).MercatorTickFormatter),c(\"NumeralTickFormatter\",t(194).NumeralTickFormatter),c(\"PrintfTickFormatter\",t(195).PrintfTickFormatter),c(\"TickFormatter\",t(131).TickFormatter)},\n", " function _(t,e,n,s,r){var c;s();const i=t(131),a=t(13),u=t(34);class o extends i.TickFormatter{constructor(t){super(t)}get names(){return(0,a.keys)(this.args)}get values(){return(0,a.values)(this.args)}_make_func(){const t=(0,u.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,s)=>`${n(t,e,s,...this.values)}`))}}n.FuncTickFormatter=o,c=o,o.__name__=\"FuncTickFormatter\",c.define((({Unknown:t,String:e,Dict:n})=>({args:[n(t),{}],code:[e,\"\"]})))},\n", " function _(r,n,t,o,e){o();var a;const u=(0,r(1).__importStar)(r(153)),c=r(131),i=r(20);class s extends c.TickFormatter{constructor(r){super(r)}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,n){const{format:t,language:o,_rounding_fn:e}=this;return r.map((r=>u.format(r,t,o,e)))}}t.NumeralTickFormatter=s,a=s,s.__name__=\"NumeralTickFormatter\",a.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[i.RoundingFunction,\"round\"]})))},\n", " function _(t,r,n,o,a){var e;o();const i=t(131),s=t(152);class c extends i.TickFormatter{constructor(t){super(t)}doFormat(t,r){return t.map((t=>(0,s.sprintf)(this.format,t)))}}n.PrintfTickFormatter=c,e=c,c.__name__=\"PrintfTickFormatter\",e.define((({String:t})=>({format:[t,\"%s\"]})))},\n", " function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(197).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(199).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(200).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(172).ContinuousColorMapper),e(\"ColorMapper\",r(173).ColorMapper),e(\"LinearColorMapper\",r(201).LinearColorMapper),e(\"LogColorMapper\",r(202).LogColorMapper),e(\"ScanningColorMapper\",r(171).ScanningColorMapper),e(\"EqHistColorMapper\",r(203).EqHistColorMapper)},\n", " function _(t,o,r,a,e){var c;a();const s=t(198),l=t(173),n=t(67);class _ extends l.ColorMapper{constructor(t){super(t)}_v_compute(t,o,r,{nan_color:a}){(0,s.cat_v_compute)(t,this.factors,r,o,this.start,this.end,a)}}r.CategoricalColorMapper=_,c=_,_.__name__=\"CategoricalColorMapper\",c.define((({Number:t,Nullable:o})=>({factors:[n.FactorSeq],start:[t,0],end:[o(t),null]})))},\n", " function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let e=0,l=n.length;ef(n,h)))),s=_<0||_>=e.length?r:e[_],l[g]=s}}},\n", " function _(e,r,a,t,s){var c;t();const l=e(198),n=e(67),u=e(174),o=e(20);class p extends u.Mapper{constructor(e){super(e)}v_compute(e){const r=new Array(e.length);return(0,l.cat_v_compute)(e,this.factors,this.markers,r,this.start,this.end,this.default_value),r}}a.CategoricalMarkerMapper=p,c=p,p.__name__=\"CategoricalMarkerMapper\",c.define((({Number:e,Array:r,Nullable:a})=>({factors:[n.FactorSeq],markers:[r(o.MarkerType)],start:[e,0],end:[a(e),null],default_value:[o.MarkerType,\"circle\"]})))},\n", " function _(t,e,a,r,n){var s;r();const c=t(198),l=t(67),p=t(174),u=t(20);class o extends p.Mapper{constructor(t){super(t)}v_compute(t){const e=new Array(t.length);return(0,c.cat_v_compute)(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=o,s=o,o.__name__=\"CategoricalPatternMapper\",s.define((({Number:t,Array:e,Nullable:a})=>({factors:[l.FactorSeq],patterns:[e(u.HatchPatternType)],start:[t,0],end:[a(t),null],default_value:[u.HatchPatternType,\" \"]})))},\n", " function _(n,r,o,t,a){t();const e=n(172),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:(0,i.min)(n),t=null!=this.high?this.high:(0,i.max)(n);return{max:t,min:o,norm_factor:1/(t-o),normed_interval:1/r}}cmap(n,r,o,t,a){const e=r.length-1;if(n==a.max)return r[e];const i=(n-a.min)*a.norm_factor,s=Math.floor(i/a.normed_interval);return s<0?o:s>e?t:r[s]}}o.LinearColorMapper=s,s.__name__=\"LinearColorMapper\"},\n", " function _(o,t,n,r,l){r();const a=o(172),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:(0,s.min)(o),r=null!=this.high?this.high:(0,s.max)(o);return{max:r,min:n,scale:t/(Math.log(r)-Math.log(n))}}cmap(o,t,n,r,l){const a=t.length-1;if(o>l.max)return r;if(o==l.max)return t[a];if(oa&&(e=a),t[e]}}n.LogColorMapper=e,e.__name__=\"LogColorMapper\"},\n", " function _(n,t,e,i,o){var s;i();const r=n(171),a=n(12),l=n(9),c=n(19);class h extends r.ScanningColorMapper{constructor(n){super(n)}scan(n,t){const e=null!=this.low?this.low:(0,a.min)(n),i=null!=this.high?this.high:(0,a.max)(n),o=this.bins,s=(0,l.linspace)(e,i,o+1),r=(0,a.bin_counts)(n,s),h=new Array(o);for(let n=0,t=s.length;nn/p));let m=t-1,f=[],M=0,_=2*t;for(;m!=t&&M<4&&0!=m;){const n=_/m;if(n>1e3)break;_=Math.round(Math.max(t*n,t));const e=(0,l.range)(0,_),i=(0,a.map)(u,(n=>n*(_-1)));f=(0,a.interpolate)(e,i,h);m=(0,l.uniq)(f).length-1,M++}if(0==m){f=[e,i];for(let n=0;n({bins:[n,65536]})))},\n", " function _(a,e,l,c,n){c(),n(\"CategoricalScale\",a(62).CategoricalScale),n(\"ContinuousScale\",a(60).ContinuousScale),n(\"LinearScale\",a(59).LinearScale),n(\"LinearInterpolationScale\",a(205).LinearInterpolationScale),n(\"LogScale\",a(61).LogScale),n(\"Scale\",a(55).Scale)},\n", " function _(e,r,n,t,a){var i;t();const s=e(55),o=e(59),c=e(12);class _ extends s.Scale{constructor(e){super(e)}connect_signals(){super.connect_signals();const{source_range:e,target_range:r}=this.properties;this.on_change([e,r],(()=>{this.linear_scale=new o.LinearScale({source_range:this.source_range,target_range:this.target_range})}))}get s_compute(){throw new Error(\"not implemented\")}get s_invert(){throw new Error(\"not implemented\")}compute(e){return e}v_compute(e){const{binning:r}=this,{start:n,end:t}=this.source_range,a=n,i=t,s=r.length,o=(t-n)/(s-1),_=new Float64Array(s);for(let e=0;e{if(ei)return i;const n=(0,c.left_edge_index)(e,r);if(-1==n)return a;if(n>=s-1)return i;const t=r[n],o=(e-t)/(r[n+1]-t),l=_[n];return l+o*(_[n+1]-l)}));return this.linear_scale.v_compute(l)}invert(e){return e}v_invert(e){return new Float64Array(e)}}n.LinearInterpolationScale=_,i=_,_.__name__=\"LinearInterpolationScale\",i.internal((({Arrayable:e,Ref:r})=>({binning:[e],linear_scale:[r(o.LinearScale),e=>new o.LinearScale({source_range:e.source_range,target_range:e.target_range})]})))},\n", " function _(a,n,e,g,R){g(),R(\"DataRange\",a(64).DataRange),R(\"DataRange1d\",a(63).DataRange1d),R(\"FactorRange\",a(67).FactorRange),R(\"Range\",a(57).Range),R(\"Range1d\",a(58).Range1d)},\n", " function _(a,o,i,t,e){t();var n=a(124);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(125);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(208);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(209);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(210);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n", " function _(t,e,h,i,r){i();const n=t(125),o=t(65);class s extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}}h.Stack=s,s.__name__=\"Stack\";class c extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e+=i.width,h=Math.max(h,i.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.top:0;let i=this.absolute?t.left:0;const{height:r}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({left:i,width:e,top:h,height:r})),i+=e}}}h.HStack=c,c.__name__=\"HStack\";class a extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e=Math.max(e,i.width),h+=i.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.left:0;let i=this.absolute?t.top:0;const{width:r}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({top:i,height:e,left:h,width:r})),i+=e}}}h.VStack=a,a.__name__=\"VStack\";class l extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}_measure(t){const{width_policy:e,height_policy:h}=this.sizing,{min:i,max:r}=Math;let n=0,o=0;for(const e of this.children){const{width:h,height:i}=e.measure(t);n=r(n,h),o=r(o,i)}return{width:(()=>{const{width:h}=this.sizing;if(t.width==1/0)return\"fixed\"==e&&null!=h?h:n;switch(e){case\"fixed\":return null!=h?h:n;case\"min\":return n;case\"fit\":return null!=h?i(t.width,h):t.width;case\"max\":return null!=h?r(t.width,h):t.width}})(),height:(()=>{const{height:e}=this.sizing;if(t.height==1/0)return\"fixed\"==h&&null!=e?e:o;switch(h){case\"fixed\":return null!=e?e:o;case\"min\":return o;case\"fit\":return null!=e?i(t.height,e):t.height;case\"max\":return null!=e?r(t.height,e):t.height}})()}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t:t.relative(),{left:i,right:r,top:n,bottom:s}=h,c=Math.round(h.vcenter),a=Math.round(h.hcenter);for(const e of this.children){const{margin:h,halign:l,valign:d}=e.sizing,{width:u,height:g,inner:_}=e.measure(t),w=(()=>{switch(`${d}_${l}`){case\"start_start\":return new o.BBox({left:i+h.left,top:n+h.top,width:u,height:g});case\"start_center\":return new o.BBox({hcenter:a,top:n+h.top,width:u,height:g});case\"start_end\":return new o.BBox({right:r-h.right,top:n+h.top,width:u,height:g});case\"center_start\":return new o.BBox({left:i+h.left,vcenter:c,width:u,height:g});case\"center_center\":return new o.BBox({hcenter:a,vcenter:c,width:u,height:g});case\"center_end\":return new o.BBox({right:r-h.right,vcenter:c,width:u,height:g});case\"end_start\":return new o.BBox({left:i+h.left,bottom:s-h.bottom,width:u,height:g});case\"end_center\":return new o.BBox({hcenter:a,bottom:s-h.bottom,width:u,height:g});case\"end_end\":return new o.BBox({right:r-h.right,bottom:s-h.bottom,width:u,height:g})}})(),m=null==_?w:new o.BBox({left:w.left+_.left,top:w.top+_.top,right:w.right-_.right,bottom:w.bottom-_.bottom});e.set_geometry(w,m)}}}h.NodeLayout=l,l.__name__=\"NodeLayout\"},\n", " function _(t,i,s,e,o){e();const n=t(124),l=t(125),r=t(8),h=t(65),c=t(9),{max:a,round:g}=Math;class p{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))}}p.__name__=\"DefaultMap\";class f{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=a(this._nrows,s+1),this._ncols=a(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 f;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}f.__name__=\"Container\";class _ extends l.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0}*[Symbol.iterator](){for(const{layout:t}of this.items)yield t}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return(0,c.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(0,c.some)(t,(t=>\"max\"==t.policy))}_init(){var t,i,s,e;super._init();const o=new f;for(const{layout:t,row:i,col:s,row_span:e,col_span:n}of this.items)if(t.sizing.visible){const l=i,r=s,h=i+(null!=e?e:1)-1,c=s+(null!=n?n:1)-1;o.add({r0:l,c0:r,r1:h,c1:c},t)}const{nrows:n,ncols:l}=o,h=new Array(n);for(let s=0;s{var t;const i=(0,r.isPlainObject)(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:(0,r.isNumber)(i)?{policy:\"fixed\",height:i}:(0,r.isString)(i)?{policy:i}:i})(),n=null!==(t=e.align)&&void 0!==t?t:\"auto\";if(\"fixed\"==e.policy)h[s]={policy:\"fixed\",height:e.height,align:n};else if(\"min\"==e.policy)h[s]={policy:\"min\",align:n};else if(\"fit\"==e.policy||\"max\"==e.policy)h[s]={policy:e.policy,flex:null!==(i=e.flex)&&void 0!==i?i:1,align:n};else{if(\"auto\"!=e.policy)throw new Error(\"unrechable\");(0,c.some)(o.row(s),(t=>t.is_height_expanding()))?h[s]={policy:\"max\",flex:1,align:n}:h[s]={policy:\"min\",align:n}}}const a=new Array(l);for(let t=0;t{var i;const s=(0,r.isPlainObject)(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:(0,r.isNumber)(s)?{policy:\"fixed\",width:s}:(0,r.isString)(s)?{policy:s}:s})(),n=null!==(s=i.align)&&void 0!==s?s:\"auto\";if(\"fixed\"==i.policy)a[t]={policy:\"fixed\",width:i.width,align:n};else if(\"min\"==i.policy)a[t]={policy:\"min\",align:n};else if(\"fit\"==i.policy||\"max\"==i.policy)a[t]={policy:i.policy,flex:null!==(e=i.flex)&&void 0!==e?e:1,align:n};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");(0,c.some)(o.col(t),(t=>t.is_width_expanding()))?a[t]={policy:\"max\",flex:1,align:n}:a[t]={policy:\"min\",align:n}}}const[g,p]=(0,r.isNumber)(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:o,nrows:n,ncols:l,rows:h,cols:a,rspacing:g,cspacing:p}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:(0,c.sum)(t)+(s-1)*o,width:(0,c.sum)(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:e,rows:o,cols:l,rspacing:r,cspacing:h}=this._state,c=new Array(s);for(let t=0;t{const{r0:e,c0:f,r1:d,c1:u}=i,w=(d-e)*r,m=(u-f)*h;let y=0;for(let i=e;i<=d;i++)y+=t(i,f).height;y+=w;let x=0;for(let i=f;i<=u;i++)x+=t(e,i).width;x+=m;const b=s.measure({width:x,height:y});_.add(i,{layout:s,size_hint:b});const z=new n.Sizeable(b).grow_by(s.sizing.margin);z.height-=w,z.width-=m;const v=[];for(let t=e;t<=d;t++){const i=o[t];\"fixed\"==i.policy?z.height-=i.height:v.push(t)}if(z.height>0){const t=g(z.height/v.length);for(const i of v)c[i]=a(c[i],t)}const j=[];for(let t=f;t<=u;t++){const i=l[t];\"fixed\"==i.policy?z.width-=i.width:j.push(t)}if(z.width>0){const t=g(z.width/j.length);for(const i of j)p[i]=a(p[i],t)}}));return{size:this._measure_totals(c,p),row_heights:c,col_widths:p,size_hints:_}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:l}=this._state,r=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 h;h=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:r.size.height;let c,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}c=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:r.size.width;let f=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:_,col_widths:d,size_hints:u}=this._measure_cells(((t,i)=>({width:r.col_widths[i],height:r.row_heights[t]})));return{size:this._measure_totals(_,d),row_heights:_,col_widths:d,size_hints:u}}_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:l,col_widths:r,size_hints:c}=this._measure_grid(t),f=this._state.rows.map(((t,i)=>Object.assign(Object.assign({},t),{top:0,height:l[i],get bottom(){return this.top+this.height}}))),_=this._state.cols.map(((t,i)=>Object.assign(Object.assign({},t),{left:0,width:r[i],get right(){return this.left+this.width}}))),d=c.map(((t,i)=>Object.assign(Object.assign({},i),{outer:new h.BBox,inner:new h.BBox})));for(let i=0,e=this.absolute?t.top:0;i{const{layout:r,size_hint:c}=l,{sizing:a}=r,{width:p,height:d}=c,u=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=_[e].width;return s}(i,e),w=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=f[e].height;return s}(t,s),m=i==e&&\"auto\"!=_[i].align?_[i].align:a.halign,y=t==s&&\"auto\"!=f[t].align?f[t].align:a.valign;let x=_[i].left;\"start\"==m?x+=a.margin.left:\"center\"==m?x+=g((u-p)/2):\"end\"==m&&(x+=u-a.margin.right-p);let b=f[t].top;\"start\"==y?b+=a.margin.top:\"center\"==y?b+=g((w-d)/2):\"end\"==y&&(b+=w-a.margin.bottom-d),l.outer=new h.BBox({left:x,top:b,width:p,height:d})}));const u=f.map((()=>({start:new p((()=>0)),end:new p((()=>0))}))),w=_.map((()=>({start:new p((()=>0)),end:new p((()=>0))})));d.foreach((({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:l}=o;null!=l&&(u[t].start.apply(n.top,(t=>a(t,l.top))),u[s].end.apply(f[s].bottom-n.bottom,(t=>a(t,l.bottom))),w[i].start.apply(n.left,(t=>a(t,l.left))),w[e].end.apply(_[e].right-n.right,(t=>a(t,l.right))))})),d.foreach((({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:l}=o,r=t=>{const i=this.absolute?l:l.relative(),s=i.left+t.left,e=i.top+t.top,o=i.right-t.right,n=i.bottom-t.bottom;return new h.BBox({left:s,top:e,right:o,bottom:n})};if(null!=n.inner){let h=r(n.inner);if(!1!==n.align){const o=u[t].start.get(l.top),n=u[s].end.get(f[s].bottom-l.bottom),c=w[i].start.get(l.left),a=w[e].end.get(_[e].right-l.right);try{h=r({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=h}else o.inner=l})),d.foreach(((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)}))}}s.Grid=_,_.__name__=\"Grid\";class d extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:0,col:i}))),this.rows=\"fit\"}}s.Row=d,d.__name__=\"Row\";class u extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:i,col:0}))),this.cols=\"fit\"}}s.Column=u,u.__name__=\"Column\"},\n", " function _(e,t,s,n,i){n();const a=e(125),c=e(124),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=(0,o.unsized)(e,(()=>new c.Sizeable((0,o.size)(e))))}_content_size(){return this.content_size}}s.ContentBox=r,r.__name__=\"ContentBox\";class _ extends a.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new c.Sizeable(e).bounded_to(this.sizing.size);return(0,o.sized)(this.el,t,(()=>{const e=new c.Sizeable((0,o.content_size)(this.el)),{border:t,padding:s}=(0,o.extents)(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)}))}}s.VariadicBox=_,_.__name__=\"VariadicBox\";class h extends _{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=h,h.__name__=\"CachedVariadicBox\"},\n", " function _(t,e,i,h,o){h();const s=t(124),r=t(125),n=t(65);class g extends r.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0},this.padding={left:0,top:0,right:0,bottom:0}}*[Symbol.iterator](){yield this.top_panel,yield this.bottom_panel,yield this.left_panel,yield this.right_panel,yield this.center_panel}_measure(t){t=new s.Sizeable({width:\"fixed\"==this.sizing.width_policy||t.width==1/0?this.sizing.width:t.width,height:\"fixed\"==this.sizing.height_policy||t.height==1/0?this.sizing.height:t.height});const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left)+this.padding.left,h=this.right_panel.measure({width:0,height:t.height}),o=Math.max(h.width,this.min_border.right)+this.padding.right,r=this.top_panel.measure({width:t.width,height:0}),n=Math.max(r.height,this.min_border.top)+this.padding.top,g=this.bottom_panel.measure({width:t.width,height:0}),a=Math.max(g.height,this.min_border.bottom)+this.padding.bottom,d=new s.Sizeable(t).shrink_by({left:i,right:o,top:n,bottom:a}),l=this.center_panel.measure(d);return{width:i+l.width+o,height:n+l.height+a,inner:{left:i,right:o,top:n,bottom:a},align:(()=>{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}),h=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:r,top:g,right:a,bottom:d}=e;this.top_panel.set_geometry(new n.BBox({left:r,right:a,bottom:g,height:o.height})),this.bottom_panel.set_geometry(new n.BBox({left:r,right:a,top:d,height:s.height})),this.left_panel.set_geometry(new n.BBox({top:g,bottom:d,right:r,width:i.width})),this.right_panel.set_geometry(new n.BBox({top:g,bottom:d,left:a,width:h.width}))}}i.BorderLayout=g,g.__name__=\"BorderLayout\"},\n", " function _(t,e,i,s,l){s();const n=t(1);var o;const a=t(119),_=t(10),d=t(20),h=t(120),r=t(123),u=(0,n.__importStar)(t(48));class c extends a.TextAnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new r.SideLayout(t,(()=>this.get_size()),!1):void 0}_get_size(){const{text:t}=this.model,e=new h.TextBox({text:t}),{angle:i,angle_units:s}=this.model;e.angle=(0,_.resolve_angle)(i,s),e.visuals=this.visuals.text.values();const{width:l,height:n}=e.size();return{width:l,height:n}}_render(){const{angle:t,angle_units:e}=this.model,i=(0,_.resolve_angle)(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,l=this.coordinates.x_scale,n=this.coordinates.y_scale;let o=\"data\"==this.model.x_units?l.compute(this.model.x):s.bbox.xview.compute(this.model.x),a=\"data\"==this.model.y_units?n.compute(this.model.y):s.bbox.yview.compute(this.model.y);o+=this.model.x_offset,a-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,o,a,i)}}i.LabelView=c,c.__name__=\"LabelView\";class x extends a.TextAnnotation{constructor(t){super(t)}}i.Label=x,o=x,x.__name__=\"Label\",o.prototype.default_view=c,o.mixins([u.Text,[\"border_\",u.Line],[\"background_\",u.Fill]]),o.define((({Number:t,String:e,Angle:i})=>({x:[t],x_units:[d.SpatialUnits,\"data\"],y:[t],y_units:[d.SpatialUnits,\"data\"],text:[e,\"\"],angle:[i,0],angle_units:[d.AngleUnits,\"rad\"],x_offset:[t,0],y_offset:[t,0]}))),o.override({background_fill_color:null,border_line_color:null})},\n", " function _(t,e,s,i,l){i();const o=t(1);var a;const r=t(69),n=(0,o.__importStar)(t(48)),d=t(20),_=t(43),c=t(120),h=(0,o.__importStar)(t(18)),u=t(11);class v extends r.DataAnnotationView{set_data(t){var e;if(super.set_data(t),null===(e=this.els)||void 0===e||e.forEach((t=>(0,_.remove)(t))),\"css\"==this.model.render_mode){const t=this.els=[...this.text].map((()=>(0,_.div)({style:{display:\"none\"}})));for(const e of t)this.plot_view.canvas_view.add_overlay(e)}else delete this.els}remove(){var t;null===(t=this.els)||void 0===t||t.forEach((t=>(0,_.remove)(t))),super.remove()}_rerender(){\"css\"==this.model.render_mode?this.render():this.request_render()}map_data(){const{x_scale:t,y_scale:e}=this.coordinates,s=null!=this.layout?this.layout:this.plot_view.frame;this.sx=\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),this.sy=\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)}paint(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer;for(let s=0,i=this.text.length;s{switch(this.visuals.text.text_align.get(e)){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,c]=(()=>{switch(this.visuals.text.text_baseline.get(e)){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${n}, ${c})`;o&&(h+=`rotate(${o}rad)`),a.style.transformOrigin=`${r} ${d}`,a.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),a.style.backgroundColor=t.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),a.style.borderStyle=t.lineDash.length<2?\"solid\":\"dashed\",a.style.borderWidth=`${t.lineWidth}px`,a.style.borderColor=t.strokeStyle),(0,_.display)(a)}}s.LabelSetView=v,v.__name__=\"LabelSetView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.LabelSet=x,a=x,x.__name__=\"LabelSet\",a.prototype.default_view=v,a.mixins([n.TextVector,[\"border_\",n.LineVector],[\"background_\",n.FillVector]]),a.define((()=>({x:[h.XCoordinateSpec,{field:\"x\"}],y:[h.YCoordinateSpec,{field:\"y\"}],x_units:[d.SpatialUnits,\"data\"],y_units:[d.SpatialUnits,\"data\"],text:[h.StringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,{value:0}],y_offset:[h.NumberSpec,{value:0}],render_mode:[d.RenderMode,\"canvas\"]}))),a.override({background_fill_color:null,border_line_color:null})},\n", " function _(t,e,i,l,s){l();const n=t(1);var o;const h=t(40),a=t(215),_=t(20),r=(0,n.__importStar)(t(48)),d=t(15),c=t(123),g=t(121),m=t(65),b=t(9),f=t(8),u=t(11);class x extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new c.SideLayout(t,(()=>this.get_size())):void 0}cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.model.border_line_color?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.item_change,(()=>this.request_render()))}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:l,label_width:s}=this.model;this.max_label_height=(0,b.max)([(0,g.font_metrics)(this.visuals.label_text.font_value()).height,l,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,(0,b.max)([n.measureText(e).width,s]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?(0,g.font_metrics)(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 o=Math.max((0,b.max)([...this.text_widths.values()]),0),h=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,c;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,c=(0,b.max)([o+i+r+2*a,this.title_width+2*a]);else{let e=2*a+Math.max(t.length-1,0)*_;for(const[,t]of this.text_widths)e+=(0,b.max)([t,s])+i+r;c=(0,b.max)([this.title_width+2*a,e]),d=this.max_label_height+this.title_height+2*a}const x=null!=this.layout?this.layout:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if((0,f.isString)(v))switch(v){case\"top_left\":y=p.start+h,k=w.start+h;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-c/2,k=w.start+h;break;case\"top_right\":y=p.end-h-c,k=w.start+h;break;case\"bottom_right\":y=p.end-h-c,k=w.end-h-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-c/2,k=w.end-h-d;break;case\"bottom_left\":y=p.start+h,k=w.end-h-d;break;case\"left\":case\"center_left\":y=p.start+h,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-c/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-h-c,k=(w.end+w.start)/2-d/2}else if((0,f.isArray)(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else(0,u.unreachable)();return new m.BBox({left:y,top:k,width:c,height:d})}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:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=i=s;const a=this.compute_legend_bbox(),_=\"vertical\"==this.model.orientation;for(const r of this.model.items){const d=r.get_labels_list_from_label_prop();for(const c of d){const d=a.x+h,g=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*s,this.max_label_height]:[this.text_widths.get(c)+l+o,this.max_label_height];if(new m.BBox({left:d,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of r.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of r.renderers)t.muted=!t.muted}return!0}_?i+=this.max_label_height+n:h+=this.text_widths.get(c)+l+o+n}}return!1}_render(){if(0==this.model.items.length)return;if(!(0,b.some)(this.model.items,(t=>t.visible)))return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),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.apply(t),this.visuals.border_line.apply(t)}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=s,a=s;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){if(!r.visible)continue;const d=r.get_labels_list_from_label_prop(),c=r.get_field_from_label_prop();if(0==d.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return(0,b.every)(r.renderers,(t=>t.visible));case\"mute\":return(0,b.every)(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+h,b=e.y+a+this.title_height,f=d+i,u=b+l;_?a+=this.max_label_height+n:h+=this.text_widths.get(m)+i+o+n,this.visuals.label_text.set_value(t),t.fillText(m,f+o,b+this.max_label_height/2);for(const e of r.renderers){const i=this.plot_view.renderer_view(e);null==i||i.draw_legend(t,d,f,b,u,c,m,r.index)}if(!g){let l,n;[l,n]=_?[e.width-2*s,this.max_label_height]:[this.text_widths.get(m)+i+o,this.max_label_height],t.beginPath(),t.rect(d,b,l,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){const{title:i}=this.model;i&&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(i,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=x,x.__name__=\"LegendView\";class p extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new d.Signal0(this,\"item_change\")}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=p,o=p,p.__name__=\"Legend\",o.prototype.default_view=x,o.mixins([[\"label_\",r.Text],[\"title_\",r.Text],[\"inactive_\",r.Fill],[\"border_\",r.Line],[\"background_\",r.Fill]]),o.define((({Number:t,String:e,Array:i,Tuple:l,Or:s,Ref:n,Nullable:o})=>({orientation:[_.Orientation,\"vertical\"],location:[s(_.LegendLocation,l(t,t)),\"top_right\"],title:[o(e),null],title_standoff:[t,5],label_standoff:[t,5],glyph_height:[t,20],glyph_width:[t,20],label_height:[t,20],label_width:[t,20],margin:[t,10],padding:[t,10],spacing:[t,3],items:[i(n(a.LegendItem)),[]],click_policy:[_.LegendClickPolicy,\"none\"]}))),o.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:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n", " function _(e,r,l,n,t){n();const i=e(1);var s;const o=e(53),a=e(175),_=e(70),u=e(216),d=(0,i.__importStar)(e(18)),c=e(19),f=e(9);class h extends o.Model{constructor(e){super(e)}_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&&!(0,f.includes)(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,(()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()}));this._check_data_sources_on_renderers()||c.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||c.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return(0,u.isField)(e)?e.field:null}get_labels_list_from_label_prop(){if(!this.visible)return[];if((0,u.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 _.ColumnarDataSource){const l=r.get_column(e);return null!=l?(0,f.uniq)(Array.from(l)):[\"Invalid field\"]}}return[]}}l.LegendItem=h,s=h,h.__name__=\"LegendItem\",s.define((({Boolean:e,Int:r,Array:l,Ref:n,Nullable:t})=>({label:[d.NullStringSpec,null],renderers:[l(n(a.GlyphRenderer)),[]],index:[t(r),null],visible:[e,!0]})))},\n", " function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return(0,c.isPlainObject)(i)&&\"value\"in i},e.isField=function(i){return(0,c.isPlainObject)(i)&&\"field\"in i},e.isExpr=function(i){return(0,c.isPlainObject)(i)&&\"expr\"in i}},\n", " function _(t,n,e,s,i){s();const o=t(1);var a;const l=t(40),c=(0,o.__importStar)(t(48)),r=t(20);class _ extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:n}=this.model;if(t.length!=n.length)return;const e=t.length;if(e<3)return;const{frame:s}=this.plot_view,{ctx:i}=this.layer,o=this.coordinates.x_scale,a=this.coordinates.y_scale,{screen:l}=this.model;function c(t,n,e,s){return l?t:\"data\"==n?e.v_compute(t):s.v_compute(t)}const r=c(t,this.model.xs_units,o,s.bbox.xview),_=c(n,this.model.ys_units,a,s.bbox.yview);i.beginPath();for(let t=0;t({xs:[n(t),[]],xs_units:[r.SpatialUnits,\"data\"],ys:[n(t),[]],ys_units:[r.SpatialUnits,\"data\"]}))),a.internal((({Boolean:t})=>({screen:[t,!1]}))),a.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", " function _(e,t,n,o,i){o();const s=e(1);var l;const r=e(40),c=(0,s.__importStar)(e(48));class a extends r.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{gradient:e,y_intercept:t}=this.model;if(null==e||null==t)return;const{frame:n}=this.plot_view,o=this.coordinates.x_scale,i=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=i.compute(t),l=s,r=n.bbox.left,c=r+n.bbox.width;else{s=n.bbox.top,l=s+n.bbox.height;const a=(i.invert(s)-t)/e,_=(i.invert(l)-t)/e;r=o.compute(a),c=o.compute(_)}const{ctx:a}=this.layer;a.save(),a.beginPath(),this.visuals.line.set_value(a),a.moveTo(r,s),a.lineTo(c,l),a.stroke(),a.restore()}}n.SlopeView=a,a.__name__=\"SlopeView\";class _ extends r.Annotation{constructor(e){super(e)}}n.Slope=_,l=_,_.__name__=\"Slope\",l.prototype.default_view=a,l.mixins(c.Line),l.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),l.override({line_color:\"black\"})},\n", " function _(e,t,i,o,n){o();const s=e(1);var l;const a=e(40),r=(0,s.__importStar)(e(48)),c=e(20);class d extends a.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.plot_view.request_paint(this)))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,o=this.coordinates.y_scale,n=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,l,a,r;\"width\"==this.model.dimension?(a=n(o,t.bbox.yview),l=t.bbox.left,r=t.bbox.width,s=this.model.line_width):(a=t.bbox.top,l=n(i,t.bbox.xview),r=this.model.line_width,s=t.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(l,a),\"width\"==this.model.dimension?c.lineTo(l+r,a):c.lineTo(l,a+s),c.stroke(),c.restore()}}i.SpanView=d,d.__name__=\"SpanView\";class _ extends a.Annotation{constructor(e){super(e)}}i.Span=_,l=_,_.__name__=\"Span\",l.prototype.default_view=d,l.mixins(r.Line),l.define((({Number:e,Nullable:t})=>({render_mode:[c.RenderMode,\"canvas\"],location:[t(e),null],location_units:[c.SpatialUnits,\"data\"],dimension:[c.Dimension,\"width\"]}))),l.internal((({Boolean:e})=>({for_hover:[e,!1]}))),l.override({line_color:\"black\"})},\n", " function _(i,e,t,o,l){var s;o();const a=i(40),_=i(221),n=i(113),r=i(43),h=i(123),b=i(65);class v extends a.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new b.BBox}update_layout(){this.layout=new h.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=(0,r.div)(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await(0,n.build_view)(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push((i=>this._toolbar_view.set_visibility(i)))}remove(){this._toolbar_view.remove(),(0,r.remove)(this.el),super.remove()}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||((0,r.position)(this.el,i),this._previous_bbox=i,this._invalidate_toolbar=!0),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",(0,r.empty)(this.el),this.el.appendChild(this._toolbar_view.el),this._toolbar_view.layout.bbox=i,this._toolbar_view.render(),this._invalidate_toolbar=!1),(0,r.display)(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0)+15,height:30}}}t.ToolbarPanelView=v,v.__name__=\"ToolbarPanelView\";class d extends a.Annotation{constructor(i){super(i)}}t.ToolbarPanel=d,s=d,d.__name__=\"ToolbarPanel\",s.prototype.default_view=v,s.define((({Ref:i})=>({toolbar:[i(_.Toolbar)]})))},\n", " function _(t,e,s,i,o){var c;i();const n=t(8),a=t(9),l=t(13),r=t(222),_=t(223),u=t(232),p=t(233);function v(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}function h(t){return\"tap\"==t||\"pan\"==t}s.Drag=r.Tool,s.Inspection=r.Tool,s.Scroll=r.Tool,s.Tap=r.Tool;class f extends p.ToolbarBase{constructor(t){super(t)}connect_signals(){super.connect_signals();const{tools:t,active_drag:e,active_inspect:s,active_scroll:i,active_tap:o,active_multi:c}=this.properties;this.on_change([t,e,s,i,o,c],(()=>this._init_tools()))}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof u.InspectTool){let t=!1;for(const e of this.inspectors)e!=this.active_inspect?e.active=!1:t=!0;t||(this.active_inspect=null)}else if((0,n.isArray)(this.active_inspect)){const t=(0,a.intersection)(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)(0,a.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 of(0,l.values)(this.gestures)){t.tools=(0,a.sort_by)(t.tools,(t=>t.default_order));for(const e of t.tools)this.connect(e.properties.active.change,(()=>this._active_change(e)))}for(const[e,s]of(0,l.entries)(this.gestures)){const i=v(e);if(i){const o=this[i];\"auto\"==o?0!=s.tools.length&&h(e)&&t(s.tools[0]):null!=o&&((0,a.includes)(this.tools,o)?t(o):this[i]=null)}}}}s.Toolbar=f,c=f,f.__name__=\"Toolbar\",c.prototype.default_view=p.ToolbarBaseView,c.define((({Or:t,Ref:e,Auto:i,Null:o})=>({active_drag:[t(e(s.Drag),i,o),\"auto\"],active_inspect:[t(e(s.Inspection),i,o),\"auto\"],active_scroll:[t(e(s.Scroll),i,o),\"auto\"],active_tap:[t(e(s.Tap),i,o),\"auto\"],active_multi:[t(e(_.GestureTool),i,o),\"auto\"]})))},\n", " function _(t,e,n,o,s){var i;o();const a=t(42),r=t(9),l=t(53);class c extends a.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(){}}n.ToolView=c,c.__name__=\"ToolView\";class _ extends l.Model{constructor(t){super(t)}get synthetic_renderers(){return[]}_get_dim_limits([t,e],[n,o],s,i){const a=s.bbox.h_range;let l;\"width\"==i||\"both\"==i?(l=[(0,r.min)([t,n]),(0,r.max)([t,n])],l=[(0,r.max)([l[0],a.start]),(0,r.min)([l[1],a.end])]):l=[a.start,a.end];const c=s.bbox.v_range;let _;return\"height\"==i||\"both\"==i?(_=[(0,r.min)([e,o]),(0,r.max)([e,o])],_=[(0,r.max)([_[0],c.start]),(0,r.min)([_[1],c.end])]):_=[c.start,c.end],[l,_]}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 ${e.join(\", \")}`)}}}n.Tool=_,i=_,_.__name__=\"Tool\",i.prototype._known_aliases=new Map,i.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),i.internal((({Boolean:t})=>({active:[t,!1]})))},\n", " function _(e,o,t,s,n){s();const u=e(224),_=e(231);class l extends u.ButtonToolView{}t.GestureToolView=l,l.__name__=\"GestureToolView\";class i extends u.ButtonTool{constructor(e){super(e),this.button_view=_.OnOffButtonView}}t.GestureTool=i,i.__name__=\"GestureTool\"},\n", " function _(t,e,o,s,i){s();const n=t(1);var l;const r=(0,n.__importDefault)(t(225)),a=t(226),u=t(222),h=t(43),_=t(34),d=t(8),c=t(9),m=(0,n.__importStar)(t(227)),p=m,v=(0,n.__importDefault)(t(228)),f=(0,n.__importDefault)(t(229)),g=t(230);class b extends a.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,s=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new g.ContextMenu(o?(0,c.reversed)(t):t,{orientation:s,prevent_hide:t=>t.target==this.el})}this._hammer=new r.default(this.el,{touchAction:\"auto\",inputClass:r.default.TouchMouseInput}),this.connect(this.model.change,(()=>this.render())),this._hammer.on(\"tap\",(t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()})),this._hammer.on(\"press\",(()=>this._pressed())),this.el.addEventListener(\"keydown\",(t=>{t.keyCode==h.Keys.Enter&&this._clicked()}))}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,v.default,f.default]}css_classes(){return super.css_classes().concat(p.toolbar_button)}render(){(0,h.empty)(this.el);const t=this.model.computed_icon;(0,d.isString)(t)&&((0,_.startsWith)(t,\"data:image\")?this.el.style.backgroundImage=`url(\"${t}\")`:this.el.classList.add(t)),this.el.title=this.model.tooltip,this.el.tabIndex=0,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const e=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{left_of:this.el};case\"left\":return{right_of:this.el};case\"above\":return{below:this.el};case\"below\":return{above:this.el}}})();null===(t=this._menu)||void 0===t||t.toggle(e)}}o.ButtonToolButtonView=b,b.__name__=\"ButtonToolButtonView\";class w extends u.ToolView{}o.ButtonToolView=w,w.__name__=\"ButtonToolView\";class y extends u.Tool{constructor(t){super(t)}_get_dim_tooltip(t){const{description:e,tool_name:o}=this;return null!=e?e:\"both\"==t?o:`${o} (${\"width\"==t?\"x\":\"y\"}-axis)`}get tooltip(){var t;return null!==(t=this.description)&&void 0!==t?t:this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=y,l=y,y.__name__=\"ButtonTool\",l.internal((({Boolean:t})=>({disabled:[t,!1]})))},\n", " function _(t,e,i,n,r){\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,i,n,r){\"use strict\";var s,o=[\"\",\"webkit\",\"Moz\",\"MS\",\"ms\",\"o\"],a=i.createElement(\"div\"),h=Math.round,u=Math.abs,c=Date.now;function l(t,e,i){return setTimeout(T(t,i),e)}function p(t,e,i){return!!Array.isArray(t)&&(f(t,i[e],i),!0)}function f(t,e,i){var n;if(t)if(t.forEach)t.forEach(e,i);else if(t.length!==r)for(n=0;n\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\",s=t.console&&(t.console.warn||t.console.log);return s&&s.call(t.console,r,n),e.apply(this,arguments)}}s=\"function\"!=typeof Object.assign?function(t){if(t===r||null===t)throw new TypeError(\"Cannot convert undefined or null to object\");for(var e=Object(t),i=1;i-1}function S(t){return t.trim().split(/\\s+/g)}function b(t,e,i){if(t.indexOf&&!i)return t.indexOf(e);for(var n=0;ni[e]})):n.sort()),n}function x(t,e){for(var i,n,s=e[0].toUpperCase()+e.slice(1),a=0;a1&&!i.firstMultiple?i.firstMultiple=H(e):1===s&&(i.firstMultiple=!1);var o=i.firstInput,a=i.firstMultiple,h=a?a.center:o.center,l=e.center=L(n);e.timeStamp=c(),e.deltaTime=e.timeStamp-o.timeStamp,e.angle=G(h,l),e.distance=j(h,l),function(t,e){var i=e.center,n=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},n=t.offsetDelta={x:i.x,y:i.y});e.deltaX=r.x+(i.x-n.x),e.deltaY=r.y+(i.y-n.y)}(i,e),e.offsetDirection=V(e.deltaX,e.deltaY);var p=U(e.deltaTime,e.deltaX,e.deltaY);e.overallVelocityX=p.x,e.overallVelocityY=p.y,e.overallVelocity=u(p.x)>u(p.y)?p.x:p.y,e.scale=a?(f=a.pointers,v=n,j(v[0],v[1],W)/j(f[0],f[1],W)):1,e.rotation=a?function(t,e){return G(e[1],e[0],W)+G(t[1],t[0],W)}(a.pointers,n):0,e.maxPointers=i.prevInput?e.pointers.length>i.prevInput.maxPointers?e.pointers.length:i.prevInput.maxPointers:e.pointers.length,function(t,e){var i,n,s,o,a=t.lastInterval||e,h=e.timeStamp-a.timeStamp;if(8!=e.eventType&&(h>25||a.velocity===r)){var c=e.deltaX-a.deltaX,l=e.deltaY-a.deltaY,p=U(h,c,l);n=p.x,s=p.y,i=u(p.x)>u(p.y)?p.x:p.y,o=V(c,l),t.lastInterval=e}else i=a.velocity,n=a.velocityX,s=a.velocityY,o=a.direction;e.velocity=i,e.velocityX=n,e.velocityY=s,e.direction=o}(i,e);var f,v;var d=t.element;_(e.srcEvent.target,d)&&(d=e.srcEvent.target);e.target=d}(t,i),t.emit(\"hammer.input\",i),t.recognize(i),t.session.prevInput=i}function H(t){for(var e=[],i=0;i=u(e)?t<0?2:4:e<0?8:16}function j(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return Math.sqrt(n*n+r*r)}function G(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return 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e=nt[t.type];if(1===e&&(this.started=!0),this.started){var i=at.call(this,t,e);12&e&&i[0].length-i[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:i[0],changedPointers:i[1],pointerType:N,srcEvent:t})}}});var ht={touchstart:1,touchmove:2,touchend:4,touchcancel:8},ut=\"touchstart touchmove touchend touchcancel\";function ct(){this.evTarget=ut,this.targetIds={},q.apply(this,arguments)}function lt(t,e){var i=P(t.touches),n=this.targetIds;if(3&e&&1===i.length)return n[i[0].identifier]=!0,[i,i];var r,s,o=P(t.changedTouches),a=[],h=this.target;if(s=i.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r-1&&n.splice(t,1)}),2500)}}function dt(t){for(var e=t.srcEvent.clientX,i=t.srcEvent.clientY,n=0;n-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,i=this.state;function 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this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(Xt,Ot,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return Rt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,i=this.options.direction;return 30&i?e=t.overallVelocity:6&i?e=t.overallVelocityX:i&Y&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&i&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=xt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(Yt,Pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[Et]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distance .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu > :not(.bk-divider):focus,.bk-root .bk-context-menu > :not(.bk-divider):focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-context-menu > :not(.bk-divider)::-moz-focus-inner{border:0;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}\"},\n", " function _(t,e,i,n,o){n();const s=t(1),l=t(43),h=t(9),r=(0,s.__importStar)(t(229));class d{constructor(t,e={}){var i,n;this.items=t,this.el=(0,l.div)(),this._open=!1,this._item_click=t=>{var e;null===(e=t.handler)||void 0===e||e.call(t),this.hide()},this._on_mousedown=t=>{var e;const{target:i}=t;i instanceof Node&&this.el.contains(i)||(null===(e=this.prevent_hide)||void 0===e?void 0:e.call(this,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},this.orientation=null!==(i=e.orientation)&&void 0!==i?i:\"vertical\",this.reversed=null!==(n=e.reversed)&&void 0!==n&&n,this.prevent_hide=e.prevent_hide,(0,l.undisplay)(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){(0,l.remove)(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=(()=>{if(\"left_of\"in t){const{left:e,top:i}=t.left_of.getBoundingClientRect();return{right:e,top:i}}if(\"right_of\"in t){const{top:e,right:i}=t.right_of.getBoundingClientRect();return{left:i,top:e}}if(\"below\"in t){const{left:e,bottom:i}=t.below.getBoundingClientRect();return{left:e,top:i}}if(\"above\"in t){const{left:e,top:i}=t.above.getBoundingClientRect();return{left:e,bottom:i}}return t})(),n=e.getBoundingClientRect();this.el.style.left=null!=i.left?i.left-n.left+\"px\":\"\",this.el.style.top=null!=i.top?i.top-n.top+\"px\":\"\",this.el.style.right=null!=i.right?n.right-i.right+\"px\":\"\",this.el.style.bottom=null!=i.bottom?n.bottom-i.bottom+\"px\":\"\"}}render(){var t;(0,l.empty)(this.el,!0),(0,l.classes)(this.el).add(\"bk-context-menu\",`bk-${this.orientation}`);const e=this.reversed?(0,h.reversed)(this.items):this.items;for(const i of e){let e;if(null==i)e=(0,l.div)({class:r.divider});else{if(null!=i.if&&!i.if())continue;if(null!=i.content)e=i.content;else{const n=null!=i.icon?(0,l.div)({class:[\"bk-menu-icon\",i.icon]}):null,o=[(null===(t=i.active)||void 0===t?void 0:t.call(i))?\"bk-active\":null,i.class];e=(0,l.div)({class:o,title:i.tooltip,tabIndex:0},n,i.label,i.content),e.addEventListener(\"click\",(()=>{this._item_click(i)})),e.addEventListener(\"keydown\",(t=>{t.keyCode==l.Keys.Enter&&this._item_click(i)}))}}this.el.appendChild(e)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),(0,l.display)(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),(0,l.undisplay)(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=d,d.__name__=\"ContextMenu\"},\n", " function _(t,e,i,n,o){n();const s=t(1),c=t(224),l=(0,s.__importStar)(t(227)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),(0,a.classes)(this.el).toggle(l.active,this.model.active)}_clicked(){const{active:t}=this.model;this.model.active=!t}}i.OnOffButtonView=_,_.__name__=\"OnOffButtonView\"},\n", " function _(e,o,t,n,s){var c;n();const l=e(224),_=e(231);class i extends l.ButtonToolView{}t.InspectToolView=i,i.__name__=\"InspectToolView\";class a extends l.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}}t.InspectTool=a,c=a,a.__name__=\"InspectTool\",c.prototype.button_view=_.OnOffButtonView,c.define((({Boolean:e})=>({toggleable:[e,!0]}))),c.override({active:!0})},\n", " function _(t,o,e,l,i){l();const s=t(1);var n,a;const r=t(19),c=t(43),h=t(113),_=t(226),u=t(20),v=t(9),d=t(234),p=t(13),b=t(8),g=t(235),f=t(65),m=t(53),w=t(222),y=t(223),T=t(238),z=t(239),x=t(232),B=t(230),C=(0,s.__importStar)(t(227)),k=C,L=(0,s.__importStar)(t(240)),M=L;class S extends m.Model{constructor(t){super(t)}get visible(){var t;return!this.autohide||null!==(t=this._visible)&&void 0!==t&&t}}e.ToolbarViewModel=S,n=S,S.__name__=\"ToolbarViewModel\",n.define((({Boolean:t})=>({autohide:[t,!1]}))),n.internal((({Boolean:t,Nullable:o})=>({_visible:[o(t),null]})));class $ extends _.DOMView{constructor(){super(...arguments),this.layout={bbox:new f.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new S({autohide:this.model.autohide});const{toolbar_location:t}=this.model,o=\"left\"==t||\"above\"==t,e=this.model.horizontal?\"vertical\":\"horizontal\";this._overflow_menu=new B.ContextMenu([],{orientation:e,reversed:o})}async lazy_initialize(){await super.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()))}styles(){return[...super.styles(),C.default,L.default]}remove(){(0,h.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(0,h.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{visible:t}=this._toolbar_view_model;(0,c.classes)(this.el).toggle(k.toolbar_hidden,!t)}render(){(0,c.empty)(this.el),this.el.classList.add(k.toolbar),this.el.classList.add(k[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change();const{horizontal:t}=this.model;let o=0;if(null!=this.model.logo){const e=\"grey\"===this.model.logo?M.grey:null,l=(0,c.a)({href:\"https://bokeh.org/\",target:\"_blank\",class:[M.logo,M.logo_small,e]});this.el.appendChild(l);const{width:i,height:s}=l.getBoundingClientRect();o+=t?i:s}for(const[,t]of this._tool_button_views)t.render();const e=[],l=t=>this._tool_button_views.get(t).el,{gestures:i}=this.model;for(const t of(0,p.values)(i))e.push(t.tools.map(l));e.push(this.model.actions.map(l)),e.push(this.model.inspectors.filter((t=>t.toggleable)).map(l));const s=e.filter((t=>0!=t.length)),n=()=>(0,c.div)({class:k.divider}),{bbox:a}=this.layout;let r=!1;this.root.el.appendChild(this._overflow_menu.el);const h=(0,c.div)({class:k.tool_overflow,tabIndex:0},t?\"\\u22ee\":\"\\u22ef\"),_=()=>{const t=(()=>{switch(this.model.toolbar_location){case\"right\":return{left_of:h};case\"left\":return{right_of:h};case\"above\":return{below:h};case\"below\":return{above:h}}})();this._overflow_menu.toggle(t)};h.addEventListener(\"click\",(()=>{_()})),h.addEventListener(\"keydown\",(t=>{t.keyCode==c.Keys.Enter&&_()}));for(const e of(0,d.join)(s,n))if(r)this._overflow_menu.items.push({content:e,class:t?k.right:k.above});else{this.el.appendChild(e);const{width:l,height:i}=e.getBoundingClientRect();if(o+=t?l:i,r=t?o>a.width-15:o>a.height-15,r){this.el.removeChild(e),this.el.appendChild(h);const{items:t}=this._overflow_menu;t.splice(0,t.length),t.push({content:e})}}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}export(t,o=!0){const e=\"png\"==t?\"canvas\":\"svg\",l=new g.CanvasLayer(e,o);return l.resize(0,0),l}}function V(){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=$,$.__name__=\"ToolbarBaseView\";class A extends m.Model{constructor(t){super(t)}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map((t=>t.id)));return(0,v.some)(t,(t=>!e.has(t.id)))},o=this.tools.filter((t=>t instanceof x.InspectTool));t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter((t=>t instanceof z.HelpTool));t(this.help,e)&&(this.help=e);const l=this.tools.filter((t=>t instanceof T.ActionTool));t(this.actions,l)&&(this.actions=l);const i=(t,o)=>{t in this.gestures||r.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},s={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 y.GestureTool&&t.event_type)if((0,b.isString)(t.event_type))s[t.event_type].tools.push(t),i(t.event_type,t);else{s.multi.tools.push(t);for(const o of t.event_type)i(o,t)}for(const o of Object.keys(s)){const e=this.gestures[o];t(e.tools,s[o].tools)&&(e.tools=s[o].tools),e.active&&(0,v.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=(0,b.isString)(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(r.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,r.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=A,a=A,A.__name__=\"ToolbarBase\",a.prototype.default_view=$,a.define((({Boolean:t,Array:o,Ref:e,Nullable:l})=>({tools:[o(e(w.Tool)),[]],logo:[l(u.Logo),\"normal\"],autohide:[t,!1]}))),a.internal((({Array:t,Struct:o,Ref:e,Nullable:l})=>{const i=o({tools:t(e(y.GestureTool)),active:l(e(w.Tool))});return{gestures:[o({pan:i,scroll:i,pinch:i,tap:i,doubletap:i,press:i,pressup:i,rotate:i,move:i,multi:i}),V],actions:[t(e(T.ActionTool)),[]],inspectors:[t(e(x.InspectTool)),[]],help:[t(e(z.HelpTool)),[]],toolbar_location:[u.Location,\"right\"]}}))},\n", " function _(n,o,e,t,f){t();const r=n(9);function*i(n,o){const e=n.length;if(o>e)return;const t=(0,r.range)(o);for(yield t.map((o=>n[o]));;){let f;for(const n of(0,r.reversed)((0,r.range)(o)))if(t[n]!=n+e-o){f=n;break}if(null==f)return;t[f]+=1;for(const n of(0,r.range)(f+1,o))t[n]=t[n-1]+1;yield t.map((o=>n[o]))}}e.enumerate=function*(n){let o=0;for(const e of n)yield[e,o++]},e.join=function*(n,o){let e=!0;for(const t of n)e?e=!1:null!=o&&(yield o()),yield*t},e.combinations=i,e.subsets=function*(n){for(const o of(0,r.range)(n.length+1))yield*i(n,o)}},\n", " function _(t,e,s,i,n){i();const o=t(236),a=t(65),r=t(43);function h(t){!function(t){void 0===t.lineDash&&Object.defineProperty(t,\"lineDash\",{get:()=>t.getLineDash(),set:e=>t.setLineDash(e)})}(t),function(t){t.setImageSmoothingEnabled=e=>{t.imageSmoothingEnabled=e,t.mozImageSmoothingEnabled=e,t.oImageSmoothingEnabled=e,t.webkitImageSmoothingEnabled=e,t.msImageSmoothingEnabled=e},t.getImageSmoothingEnabled=()=>{const e=t.imageSmoothingEnabled;return null==e||e}}(t),function(t){t.ellipse||(t.ellipse=function(e,s,i,n,o,a,r,h=!1){const l=.551784;t.translate(e,s),t.rotate(o);let c=i,g=n;h&&(c=-i,g=-n),t.moveTo(-c,0),t.bezierCurveTo(-c,g*l,-c*l,g,0,g),t.bezierCurveTo(c*l,g,c,g*l,c,0),t.bezierCurveTo(c,-g*l,c*l,-g,0,-g),t.bezierCurveTo(-c*l,-g,-c,-g*l,-c,0),t.rotate(-o),t.translate(-e,-s)})}(t)}const l={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class c{constructor(t,e){switch(this.backend=t,this.hidpi=e,this.pixel_ratio=1,this.bbox=new a.BBox,t){case\"webgl\":case\"canvas\":{this._el=this._canvas=(0,r.canvas)({style:l});const t=this.canvas.getContext(\"2d\");if(null==t)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=t,e&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const t=new o.SVGRenderingContext2D;this._ctx=t,this._canvas=t.get_svg(),this._el=(0,r.div)({style:l},this._canvas);break}}this._ctx.layer=this,h(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(t,e){this.bbox=new a.BBox({left:0,top:0,width:t,height:e});const s=this._ctx instanceof o.SVGRenderingContext2D?this._ctx:this.canvas;s.width=t*this.pixel_ratio,s.height=e*this.pixel_ratio}undo_transform(t){const{ctx:e}=this;if(void 0===e.getTransform)t(e);else{const 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c.Callback{constructor(e){super(e)}navigate(e){this.same_tab?window.location.href=e:window.open(e)}execute(e,{source:t}){const n=e=>{const n=(0,r.replace_placeholders)(this.url,t,e,void 0,void 0,encodeURI);if(!(0,a.isString)(n))throw new Error(\"HTML output is not supported in this context\");this.navigate(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=d,s=d,d.__name__=\"OpenURL\",s.define((({Boolean:e,String:t})=>({url:[t,\"http://\"],same_tab:[e,!1]})))},\n", " function _(a,n,i,e,r){e(),r(\"Canvas\",a(249).Canvas),r(\"CartesianFrame\",a(126).CartesianFrame),r(\"CoordinateMapping\",a(54).CoordinateMapping)},\n", " function _(e,t,i,s,a){var r,l=this&&this.__createBinding||(Object.create?function(e,t,i,s){void 0===s&&(s=i),Object.defineProperty(e,s,{enumerable:!0,get:function(){return t[i]}})}:function(e,t,i,s){void 0===s&&(s=i),e[s]=t[i]}),n=this&&this.__setModuleDefault||(Object.create?function(e,t){Object.defineProperty(e,\"default\",{enumerable:!0,value:t})}:function(e,t){e.default=t}),o=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var i in e)\"default\"!==i&&Object.prototype.hasOwnProperty.call(e,i)&&l(t,e,i);return n(t,e),t};s();const h=e(14),c=e(226),u=e(19),_=e(43),d=e(20),p=e(13),b=e(250),v=e(65),g=e(138),w=e(235);const y=(()=>{let t;return async()=>void 0!==t?t:t=await async function(){const t=document.createElement(\"canvas\"),i=t.getContext(\"webgl\",{premultipliedAlpha:!0});if(null!=i){const s=await(0,g.load_module)(Promise.resolve().then((()=>o(e(410)))));if(null!=s){const e=s.get_regl(i);if(e.has_webgl)return{canvas:t,regl_wrapper:e};u.logger.trace(\"WebGL is supported, but not the required extensions\")}else u.logger.trace(\"WebGL is supported, but bokehjs(.min).js bundle is not available\")}else u.logger.trace(\"WebGL is not supported\");return null}()})(),m={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class f extends c.DOMView{constructor(){super(...arguments),this.bbox=new v.BBox,this.webgl=null}initialize(){super.initialize(),this.underlays_el=(0,_.div)({style:m}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=(0,_.div)({style:m}),this.events_el=(0,_.div)({class:\"bk-canvas-events\",style:m});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];(0,p.extend)(this.el.style,m),(0,_.append)(this.el,...e),this.ui_event_bus=new b.UIEventBus(this)}async lazy_initialize(){await super.lazy_initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=await y())}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new v.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const[a,r,l,n]=e,{xview:o,yview:h}=this.bbox,c=o.compute(a),u=h.compute(r+n),_=this.pixel_ratio;t.regl_wrapper.set_scissor(_*c,_*u,_*l,_*n),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(u.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}this._clear_webgl()}}_clear_webgl(){const{webgl:e}=this;if(null!=e){const{regl_wrapper:t,canvas:i}=e;t.clear(i.width,i.height)}}compose(){const e=this.create_layer(),{width:t,height:i}=this.bbox;return e.resize(t,i),e.ctx.drawImage(this.primary.canvas,0,0),e.ctx.drawImage(this.overlays.canvas,0,0),e}create_layer(){const{output_backend:e,hidpi:t}=this.model;return new w.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}i.CanvasView=f,f.__name__=\"CanvasView\";class x extends h.HasProps{constructor(e){super(e)}}i.Canvas=x,r=x,x.__name__=\"Canvas\",r.prototype.default_view=f,r.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[d.OutputBackend,\"canvas\"]})))},\n", " function _(t,e,s,n,i){n();const r=t(1),a=(0,r.__importDefault)(t(225)),_=t(15),h=t(19),o=t(43),l=(0,r.__importStar)(t(251)),c=t(252),p=t(9),u=t(8),v=t(27),d=t(230);class g{constructor(t){this.canvas_view=t,this.pan_start=new _.Signal(this,\"pan:start\"),this.pan=new _.Signal(this,\"pan\"),this.pan_end=new _.Signal(this,\"pan:end\"),this.pinch_start=new _.Signal(this,\"pinch:start\"),this.pinch=new _.Signal(this,\"pinch\"),this.pinch_end=new _.Signal(this,\"pinch:end\"),this.rotate_start=new _.Signal(this,\"rotate:start\"),this.rotate=new _.Signal(this,\"rotate\"),this.rotate_end=new _.Signal(this,\"rotate:end\"),this.tap=new _.Signal(this,\"tap\"),this.doubletap=new _.Signal(this,\"doubletap\"),this.press=new _.Signal(this,\"press\"),this.pressup=new _.Signal(this,\"pressup\"),this.move_enter=new _.Signal(this,\"move:enter\"),this.move=new _.Signal(this,\"move\"),this.move_exit=new _.Signal(this,\"move:exit\"),this.scroll=new _.Signal(this,\"scroll\"),this.keydown=new _.Signal(this,\"keydown\"),this.keyup=new _.Signal(this,\"keyup\"),this.hammer=new a.default(this.hit_area,{touchAction:\"auto\",inputClass:a.default.TouchMouseInput}),this._prev_move=null,this._curr_pan=null,this._curr_pinch=null,this._curr_rotate=null,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(\"contextmenu\",(t=>this._context_menu(t))),this.hit_area.addEventListener(\"wheel\",(t=>this._mouse_wheel(t))),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new d.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}get hit_area(){return this.canvas_view.events_el}destroy(){this.menu.remove(),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:a.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&&((0,u.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)},a=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))),null!=n._doubletap&&n.connect(this.doubletap,r(n._doubletap.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._keydown&&n.connect(this.keydown,a(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,a(n._keyup.bind(n))),v.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(h.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e,s){var n;const i=t.get_renderer_views();for(const t of(0,p.reversed)(i))if(null===(n=t.interactive_hit)||void 0===n?void 0:n.call(t,e,s))return t;return null}set_cursor(t=\"default\"){this.hit_area.style.cursor=t}_hit_test_frame(t,e,s){return t.frame.bbox.contains(e,s)}_hit_test_canvas(t,e,s){return t.layout.bbox.contains(e,s)}_hit_test_plot(t,e){for(const s of this.canvas_view.plot_views)if(s.layout.bbox.relative().contains(t,e))return s;return null}_trigger(t,e,s){var n;const{sx:i,sy:r}=e,a=this._hit_test_plot(i,r),_=t=>{const[s,n]=[i,r];return Object.assign(Object.assign({},e),{sx:s,sy:n})};if(\"panstart\"==e.type||\"pan\"==e.type||\"panend\"==e.type){let n;if(\"panstart\"==e.type&&null!=a?(this._curr_pan={plot_view:a},n=a):\"pan\"==e.type&&null!=this._curr_pan?n=this._curr_pan.plot_view:\"panend\"==e.type&&null!=this._curr_pan?(n=this._curr_pan.plot_view,this._curr_pan=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"pinchstart\"==e.type||\"pinch\"==e.type||\"pinchend\"==e.type){let n;if(\"pinchstart\"==e.type&&null!=a?(this._curr_pinch={plot_view:a},n=a):\"pinch\"==e.type&&null!=this._curr_pinch?n=this._curr_pinch.plot_view:\"pinchend\"==e.type&&null!=this._curr_pinch?(n=this._curr_pinch.plot_view,this._curr_pinch=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"rotatestart\"==e.type||\"rotate\"==e.type||\"rotateend\"==e.type){let n;if(\"rotatestart\"==e.type&&null!=a?(this._curr_rotate={plot_view:a},n=a):\"rotate\"==e.type&&null!=this._curr_rotate?n=this._curr_rotate.plot_view:\"rotateend\"==e.type&&null!=this._curr_rotate?(n=this._curr_rotate.plot_view,this._curr_rotate=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"mouseenter\"==e.type||\"mousemove\"==e.type||\"mouseleave\"==e.type){const h=null===(n=this._prev_move)||void 0===n?void 0:n.plot_view;if(null!=h&&(\"mouseleave\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(h,this.move_exit,{type:\"mouseleave\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&(\"mouseenter\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(a,this.move_enter,{type:\"mouseenter\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&\"mousemove\"==e.type){const e=_();this.__trigger(a,t,e,s)}this._prev_move={sx:i,sy:r,plot_view:a}}else if(null!=a){const e=_();this.__trigger(a,t,e,s)}}__trigger(t,e,s,n){var i,r;const a=t.model.toolbar.gestures,_=e.name.split(\":\")[0],h=this._hit_test_renderers(t,s.sx,s.sy),o=this._hit_test_canvas(t,s.sx,s.sy);switch(_){case\"move\":{const n=a[_].active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let l=\"default\";null!=h?(l=null!==(i=h.cursor(s.sx,s.sy))&&void 0!==i?i:l,(0,p.is_empty)(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&((0,p.is_empty)(r)||(l=\"crosshair\")),this.set_cursor(l),t.set_toolbar_visibility(o),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:t}=n;if(null!=t&&t!=this.hit_area)return;null!=h&&null!=h.on_hit&&h.on_hit(s.sx,s.sy);const i=a[_].active;null!=i&&this.trigger(e,s,i.id);break}case\"doubletap\":{const t=null!==(r=a.doubletap.active)&&void 0!==r?r:a.tap.active;null!=t&&this.trigger(e,s,t.id);break}case\"scroll\":{const t=a[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=a[_].active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=a[_].active;null!=t&&this.trigger(e,s,t.id)}}this._trigger_bokeh_event(t,s)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t,e){const s=(()=>{const{sx:s,sy:n}=e,i=t.frame.x_scale.invert(s),r=t.frame.y_scale.invert(n);switch(e.type){case\"wheel\":return new l.MouseWheel(s,n,i,r,e.delta);case\"mousemove\":return new l.MouseMove(s,n,i,r);case\"mouseenter\":return new l.MouseEnter(s,n,i,r);case\"mouseleave\":return new l.MouseLeave(s,n,i,r);case\"tap\":return new l.Tap(s,n,i,r);case\"doubletap\":return new l.DoubleTap(s,n,i,r);case\"press\":return new l.Press(s,n,i,r);case\"pressup\":return new l.PressUp(s,n,i,r);case\"pan\":return new l.Pan(s,n,i,r,e.deltaX,e.deltaY);case\"panstart\":return new l.PanStart(s,n,i,r);case\"panend\":return new l.PanEnd(s,n,i,r);case\"pinch\":return new l.Pinch(s,n,i,r,e.scale);case\"pinchstart\":return new l.PinchStart(s,n,i,r);case\"pinchend\":return new l.PinchEnd(s,n,i,r);case\"rotate\":return new l.Rotate(s,n,i,r,e.rotation);case\"rotatestart\":return new l.RotateStart(s,n,i,r);case\"rotateend\":return new l.RotateEnd(s,n,i,r);default:return}})();null!=s&&t.model.trigger_event(s)}_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}=(0,o.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,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:(0,c.getDeltaY)(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_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){this._trigger(this.doubletap,this._tap_event(t),t.srcEvent)}_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)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEventBus=g,g.__name__=\"UIEventBus\"},\n", " function _(e,t,s,n,_){n();var a=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 o(e){return function(t){t.prototype.event_name=e}}class r{to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}}s.BokehEvent=r,r.__name__=\"BokehEvent\";class c extends r{constructor(){super(...arguments),this.origin=null}_to_json(){return{model:this.origin}}}s.ModelEvent=c,c.__name__=\"ModelEvent\";let l=class extends r{_to_json(){return{}}};s.DocumentReady=l,l.__name__=\"DocumentReady\",s.DocumentReady=l=a([o(\"document_ready\")],l);let i=class extends c{};s.ButtonClick=i,i.__name__=\"ButtonClick\",s.ButtonClick=i=a([o(\"button_click\")],i);let u=class extends c{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=u,u.__name__=\"MenuItemClick\",s.MenuItemClick=u=a([o(\"menu_item_click\")],u);class d extends c{}s.UIEvent=d,d.__name__=\"UIEvent\";let m=class extends d{};s.LODStart=m,m.__name__=\"LODStart\",s.LODStart=m=a([o(\"lodstart\")],m);let h=class extends d{};s.LODEnd=h,h.__name__=\"LODEnd\",s.LODEnd=h=a([o(\"lodend\")],h);let p=class extends d{constructor(e,t,s,n){super(),this.x0=e,this.x1=t,this.y0=s,this.y1=n}_to_json(){const{x0:e,x1:t,y0:s,y1:n}=this;return Object.assign(Object.assign({},super._to_json()),{x0:e,x1:t,y0:s,y1:n})}};s.RangesUpdate=p,p.__name__=\"RangesUpdate\",s.RangesUpdate=p=a([o(\"rangesupdate\")],p);let x=class extends d{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=x,x.__name__=\"SelectionGeometry\",s.SelectionGeometry=x=a([o(\"selectiongeometry\")],x);let j=class extends d{};s.Reset=j,j.__name__=\"Reset\",s.Reset=j=a([o(\"reset\")],j);class y extends d{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=y,y.__name__=\"PointEvent\";let g=class extends y{constructor(e,t,s,n,_,a){super(e,t,s,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=g,g.__name__=\"Pan\",s.Pan=g=a([o(\"pan\")],g);let P=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.scale=_}_to_json(){const{scale:e}=this;return 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y{};s.Tap=M,M.__name__=\"Tap\",s.Tap=M=a([o(\"tap\")],M);let f=class extends y{};s.DoubleTap=f,f.__name__=\"DoubleTap\",s.DoubleTap=f=a([o(\"doubletap\")],f);let S=class extends y{};s.Press=S,S.__name__=\"Press\",s.Press=S=a([o(\"press\")],S);let D=class extends y{};s.PressUp=D,D.__name__=\"PressUp\",s.PressUp=D=a([o(\"pressup\")],D);let k=class extends y{};s.PanStart=k,k.__name__=\"PanStart\",s.PanStart=k=a([o(\"panstart\")],k);let L=class extends y{};s.PanEnd=L,L.__name__=\"PanEnd\",s.PanEnd=L=a([o(\"panend\")],L);let U=class extends y{};s.PinchStart=U,U.__name__=\"PinchStart\",s.PinchStart=U=a([o(\"pinchstart\")],U);let C=class extends y{};s.PinchEnd=C,C.__name__=\"PinchEnd\",s.PinchEnd=C=a([o(\"pinchend\")],C);let T=class extends y{};s.RotateStart=T,T.__name__=\"RotateStart\",s.RotateStart=T=a([o(\"rotatestart\")],T);let B=class extends y{};s.RotateEnd=B,B.__name__=\"RotateEnd\",s.RotateEnd=B=a([o(\"rotateend\")],B)},\n", " function _(t,e,n,l,o){\n", " /*!\n", " * jQuery Mousewheel 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function _(e,t,s,n,i){n();const c=e(53);class l extends c.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,(()=>this._result.delete(e))),this.connect(e.patching,(()=>this._result.delete(e))),this.connect(e.streaming,(()=>this._result.delete(e))),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=l,l.__name__=\"Expression\";class h extends c.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}compute(e){this._connected.has(e)||(this.connect(e.change,(()=>this._result.delete(e))),this.connect(e.patching,(()=>this._result.delete(e))),this.connect(e.streaming,(()=>this._result.delete(e))),this._connected.add(e));let t=this._result.get(e);return 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o=e(178),_=e(184),d=e(48),u=e(24),h=e(20),c=(0,n.__importStar)(e(18)),l=e(10),p=e(72);class x extends o.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=(0,u.to_screen)(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=(0,u.to_screen)(this.outer_radius)}_render(e,t,s){const{sx:i,sy:r,start_angle:n,end_angle:a,sinner_radius:o,souter_radius:_}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of t){const t=i[s],u=r[s],h=o[s],c=_[s],l=n.get(s),p=a.get(s);if(!isFinite(t+u+h+c+l+p))continue;const x=p-l;e.translate(t,u),e.rotate(l),e.beginPath(),e.moveTo(c,0),e.arc(0,0,c,0,x,d),e.rotate(x),e.lineTo(h,0),e.arc(0,0,h,0,-x,!d),e.closePath(),e.rotate(-x-l),e.translate(-t,-u),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,o,_;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,o=i+this.max_outer_radius,a=r-this.max_outer_radius,_=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,o]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,d=s+this.max_outer_radius;[a,_]=this.renderer.yscale.r_invert(r,d)}const d=[];for(const e of this.index.indices({x0:n,x1:o,y0:a,y1:_})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[o,_]=this.renderer.yscale.r_compute(r,this._y[e]),u=(n-a)**2+(o-_)**2;u<=t&&u>=s&&d.push(e)}const u=\"anticlock\"==this.model.direction,h=[];for(const e of d){const i=Math.atan2(s-this.sy[e],t-this.sx[e]);(0,l.angle_between)(-i,-this.start_angle.get(e),-this.end_angle.get(e),u)&&h.push(e)}return new p.Selection({indices:h})}draw_legend_for_index(e,t,s){(0,_.generic_area_vector_legend)(this.visuals,e,t,s)}scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.AnnularWedgeView=x,x.__name__=\"AnnularWedgeView\";class g extends 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u.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=(0,o.to_screen)(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=(0,o.to_screen)(this.outer_radius)}_render(s,e,i){const{sx:r,sy:t,sinner_radius:n,souter_radius:a}=null!=i?i:this;for(const i of e){const e=r[i],u=t[i],o=n[i],_=a[i];if(isFinite(e+u+o+_)){if(s.beginPath(),h.is_ie)for(const i of[!1,!0])s.moveTo(e,u),s.arc(e,u,o,0,Math.PI,i),s.moveTo(e+_,u),s.arc(e,u,_,Math.PI,0,!i);else s.arc(e,u,o,0,2*Math.PI,!0),s.moveTo(e+_,u),s.arc(e,u,_,2*Math.PI,0,!1);this.visuals.fill.apply(s,i),this.visuals.hatch.apply(s,i),this.visuals.line.apply(s,i)}}}_hit_point(s){const{sx:e,sy:i}=s,r=this.renderer.xscale.invert(e),t=this.renderer.yscale.invert(i);let n,a,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=r-this.max_outer_radius,u=r+this.max_outer_radius,a=t-this.max_outer_radius,o=t+this.max_outer_radius;else{const s=e-this.max_outer_radius,r=e+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,r);const t=i-this.max_outer_radius,_=i+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(t,_)}const _=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:o})){const e=this.souter_radius[s]**2,i=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(r,this._x[s]),[u,o]=this.renderer.yscale.r_compute(t,this._y[s]),d=(n-a)**2+(u-o)**2;d<=e&&d>=i&&_.push(s)}return new c.Selection({indices:_})}draw_legend_for_index(s,{x0:e,y0:i,x1:r,y1:t},n){const a=n+1,u=new Array(a);u[n]=(e+r)/2;const o=new Array(a);o[n]=(i+t)/2;const _=.5*Math.min(Math.abs(r-e),Math.abs(t-i)),d=new Array(a);d[n]=.4*_;const h=new Array(a);h[n]=.8*_,this._render(s,[n],{sx:u,sy:o,sinner_radius:d,souter_radius:h})}}i.AnnulusView=l,l.__name__=\"AnnulusView\";class x extends u.XYGlyph{constructor(s){super(s)}}i.Annulus=x,a=x,x.__name__=\"Annulus\",a.prototype.default_view=l,a.mixins([_.LineVector,_.FillVector,_.HatchVector]),a.define((({})=>({inner_radius:[d.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[d.DistanceSpec,{field:\"outer_radius\"}]})))},\n", " function _(e,i,s,t,n){t();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),_=e(24),o=e(20),u=(0,r.__importStar)(e(18));class h extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,_.to_screen)(this.radius)}_render(e,i,s){if(this.visuals.line.doit){const{sx:t,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of i){const i=t[s],l=n[s],_=r[s],o=a.get(s),u=c.get(s);isFinite(i+l+_+o+u)&&(e.beginPath(),e.arc(i,l,_,o,u,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){(0,d.generic_line_vector_legend)(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class g extends c.XYGlyph{constructor(e){super(e)}}s.Arc=g,a=g,g.__name__=\"Arc\",a.prototype.default_view=h,a.mixins(l.LineVector),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[u.DistanceSpec,{field:\"radius\"}],start_angle:[u.AngleSpec,{field:\"start_angle\"}],end_angle:[u.AngleSpec,{field:\"end_angle\"}]})))},\n", " function _(e,t,i,n,s){n();const o=e(1);var c;const r=e(48),a=e(179),_=e(184),d=e(78),l=(0,o.__importStar)(e(18));function x(e,t,i,n,s,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*s,d=-3*e+9*i-9*s+3*c,x=3*i-3*e):(l=6*t-12*n+6*o,d=-3*t+9*n-9*o+3*r,x=3*n-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx0:[l.XCoordinateSpec,{field:\"cx0\"}],cy0:[l.YCoordinateSpec,{field:\"cy0\"}],cx1:[l.XCoordinateSpec,{field:\"cx1\"}],cy1:[l.YCoordinateSpec,{field:\"cy1\"}]}))),c.mixins(r.LineVector)},\n", " function _(s,i,e,t,r){t();const a=s(1);var n;const h=s(178),d=s(48),l=s(24),c=s(20),_=(0,a.__importStar)(s(185)),u=(0,a.__importStar)(s(18)),o=s(9),x=s(12),m=s(72);class p extends h.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:i}=this.renderer.plot_view.canvas_view;if(null==i?void 0:i.regl_wrapper.has_webgl){const{MarkerGL:e}=await Promise.resolve().then((()=>(0,a.__importStar)(s(426))));this.glglyph=new e(i.regl_wrapper,this,\"circle\")}}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_set_data(s){super._set_data(s);const i=(()=>{if(this.use_radius)return 2*this.max_radius;{const{size:s}=this;return s.is_Scalar()?s.value:(0,x.max)(s.array)}})();this._configure(\"max_size\",{value:i})}_map_data(){if(this.use_radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this.radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.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=(0,x.map)(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=(0,l.to_screen)(this.radius);else{const s=l.ScreenArray.from(this.size);this.sradius=(0,x.map)(s,(s=>s/2))}}_mask_data(){const{frame:s}=this.renderer.plot_view,i=s.x_target,e=s.y_target;let t,r;return this.use_radius&&\"data\"==this.model.properties.radius.units?(t=i.map((s=>this.renderer.xscale.invert(s))).widen(this.max_radius),r=e.map((s=>this.renderer.yscale.invert(s))).widen(this.max_radius)):(t=i.widen(this.max_size).map((s=>this.renderer.xscale.invert(s))),r=e.widen(this.max_size).map((s=>this.renderer.yscale.invert(s)))),this.index.indices({x0:t.start,x1:t.end,y0:r.start,y1:r.end})}_render(s,i,e){const{sx:t,sy:r,sradius:a}=null!=e?e:this;for(const e of i){const i=t[e],n=r[e],h=a[e];isFinite(i+n+h)&&(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.apply(s,e),this.visuals.hatch.apply(s,e),this.visuals.line.apply(s,e))}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e),{hit_dilation:a}=this.model;let n,h,d,l;if(this.use_radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius*a,h=t+this.max_radius*a,d=r-this.max_radius*a,l=r+this.max_radius*a;else{const s=i-this.max_size*a,t=i+this.max_size*a;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size*a,c=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,c)}const c=this.index.indices({x0:n,x1:h,y0:d,y1:l}),_=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of c){const i=(this.sradius[s]*a)**2,[e,n]=this.renderer.xscale.r_compute(t,this._x[s]),[h,d]=this.renderer.yscale.r_compute(r,this._y[s]);(e-n)**2+(h-d)**2<=i&&_.push(s)}else for(const s of c){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&_.push(s)}return new m.Selection({indices:_})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new m.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new m.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=(0,o.range)(0,this.sx.length),r=[];for(let s=0,a=t.length;s({angle:[u.AngleSpec,0],size:[u.ScreenSizeSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[c.RadiusDimension,\"x\"],hit_dilation:[s,1]})))},\n", " function _(e,l,s,i,_){var p;i();const t=e(274);class a extends t.EllipseOvalView{}s.EllipseView=a,a.__name__=\"EllipseView\";class n extends t.EllipseOval{constructor(e){super(e)}}s.Ellipse=n,p=n,n.__name__=\"Ellipse\",p.prototype.default_view=a},\n", " function _(t,s,e,i,h){i();const n=t(1),r=t(275),a=(0,n.__importStar)(t(185)),l=t(24),_=t(72),o=(0,n.__importStar)(t(18));class d extends r.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=(0,l.to_screen)(this.width),\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"):this.sh=(0,l.to_screen)(this.height)}_render(t,s,e){const{sx:i,sy:h,sw:n,sh:r,angle:a}=null!=e?e:this;for(const e of s){const s=i[e],l=h[e],_=n[e],o=r[e],d=a.get(e);isFinite(s+l+_+o+d)&&(t.beginPath(),t.ellipse(s,l,_/2,o/2,d,0,2*Math.PI),this.visuals.fill.apply(t,e),this.visuals.hatch.apply(t,e),this.visuals.line.apply(t,e))}}_hit_point(t){let s,e,i,h,n,r,l,o,d;const{sx:c,sy:p}=t,w=this.renderer.xscale.invert(c),x=this.renderer.yscale.invert(p);\"data\"==this.model.properties.width.units?(s=w-this.max_width,e=w+this.max_width):(r=c-this.max_width,l=c+this.max_width,[s,e]=this.renderer.xscale.r_invert(r,l)),\"data\"==this.model.properties.height.units?(i=x-this.max_height,h=x+this.max_height):(o=p-this.max_height,d=p+this.max_height,[i,h]=this.renderer.yscale.r_invert(o,d));const m=this.index.indices({x0:s,x1:e,y0:i,y1:h}),y=[];for(const t of m)n=a.point_in_ellipse(c,p,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new _.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:e,x1:i,y1:h},n){const r=n+1,a=new Array(r);a[n]=(s+i)/2;const l=new Array(r);l[n]=(e+h)/2;const _=this.sw[n]/this.sh[n],d=.8*Math.min(Math.abs(i-s),Math.abs(h-e)),c=new Array(r),p=new Array(r);_>1?(c[n]=d,p[n]=d/_):(c[n]=d*_,p[n]=d);const w=new o.UniformScalar(0,r);this._render(t,[n],{sx:a,sy:l,sw:c,sh:p,angle:w})}}e.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends r.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=c,c.__name__=\"EllipseOval\"},\n", " function _(e,t,i,a,n){a();const s=e(1);var r;const h=e(178),o=e(48),_=(0,s.__importStar)(e(18));class c extends h.XYGlyphView{get max_w2(){return\"data\"==this.model.properties.width.units?this.max_width/2:0}get max_h2(){return\"data\"==this.model.properties.height.units?this.max_height/2:0}_bounds({x0:e,x1:t,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:e-n,x1:t+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(e){super(e)}}i.CenterRotatable=l,r=l,l.__name__=\"CenterRotatable\",r.mixins([o.LineVector,o.FillVector,o.HatchVector]),r.define((({})=>({angle:[_.AngleSpec,0],width:[_.DistanceSpec,{field:\"width\"}],height:[_.DistanceSpec,{field:\"height\"}]})))},\n", " function _(t,e,s,i,h){i();const r=t(1);var a;const n=t(277),o=t(24),_=(0,r.__importStar)(t(18));class c extends n.BoxView{scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){const e=this._left[t],s=this._right[t],i=this._y[t],h=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+h,i-h]}_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 o.ScreenArray(t),this.sbottom=new o.ScreenArray(t);for(let e=0;e({left:[_.XCoordinateSpec,{value:0}],y:[_.YCoordinateSpec,{field:\"y\"}],height:[_.NumberSpec,{value:1}],right:[_.XCoordinateSpec,{field:\"right\"}]})))},\n", " function _(t,e,s,r,i){var n;r();const a=t(48),h=t(179),o=t(184),c=t(72);class _ extends h.GlyphView{get_anchor_point(t,e,s){const r=Math.min(this.sleft[e],this.sright[e]),i=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:r,y:n};case\"top\":case\"top_center\":return{x:(r+i)/2,y:n};case\"top_right\":return{x:i,y:n};case\"bottom_left\":return{x:r,y:a};case\"bottom\":case\"bottom_center\":return{x:(r+i)/2,y:a};case\"bottom_right\":return{x:i,y:a};case\"left\":case\"center_left\":return{x:r,y:(n+a)/2};case\"center\":case\"center_center\":return{x:(r+i)/2,y:(n+a)/2};case\"right\":case\"center_right\":return{x:i,y:(n+a)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:r}=this;for(let i=0;i({r:[l.NumberSpec,{field:\"r\"}],q:[l.NumberSpec,{field:\"q\"}],scale:[l.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[_.HexTileOrientation,\"pointytop\"]}))),a.override({line_color:null})},\n", " function _(e,a,t,_,r){var n;_();const s=e(280),o=e(173),i=e(201);class p extends s.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,(()=>this._update_image()))}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}t.ImageView=p,p.__name__=\"ImageView\";class m extends s.ImageBase{constructor(e){super(e)}}t.Image=m,n=m,m.__name__=\"Image\",n.prototype.default_view=p,n.define((({Ref:e})=>({color_mapper:[e(o.ColorMapper),()=>new i.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))},\n", " function _(e,t,i,s,a){s();const h=e(1);var n;const r=e(178),_=e(24),d=(0,h.__importStar)(e(18)),l=e(72),g=e(9),o=e(29),c=e(11);class m extends r.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_render(e,t,i){const{image_data:s,sx:a,sy:h,sw:n,sh:r,global_alpha:_}=null!=i?i:this,d=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1);const l=_.is_Scalar();l&&(e.globalAlpha=_.value);for(const i of t){const t=s[i],_=a[i],d=h[i],g=n[i],o=r[i],c=this.global_alpha.get(i);if(null==t||!isFinite(_+d+g+o+c))continue;l||(e.globalAlpha=c);const m=d;e.translate(0,m),e.scale(1,-1),e.translate(0,-m),e.drawImage(t,0|_,0|d,g,o),e.translate(0,m),e.scale(1,-1),e.translate(0,-m)}e.setImageSmoothingEnabled(d)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t({image:[d.NDArraySpec,{field:\"image\"}],dw:[d.DistanceSpec,{field:\"dw\"}],dh:[d.DistanceSpec,{field:\"dh\"}],global_alpha:[d.NumberSpec,{value:1}],dilate:[e,!1]})))},\n", " function _(e,a,t,r,_){var n;r();const s=e(280),m=e(8);class i extends s.ImageBaseView{_flat_img_to_buf8(e){let a;return a=(0,m.isArray)(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=i,i.__name__=\"ImageRGBAView\";class g extends s.ImageBase{constructor(e){super(e)}}t.ImageRGBA=g,n=g,g.__name__=\"ImageRGBA\",n.prototype.default_view=i},\n", " function _(e,t,s,r,a){r();const i=e(1);var n;const o=e(178),c=e(24),_=e(20),h=(0,i.__importStar)(e(18)),l=e(12),d=e(136);class m extends o.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1,this._set_data_iteration=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_index_data(e){const{data_size:t}=this;for(let s=0;s{this._set_data_iteration==r&&(this.image[a]=e,this.renderer.request_render())},attempts:t+1,timeout:s})}const a=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,n=this._x.length,o=new c.ScreenArray(a?2*n:n),_=new c.ScreenArray(i?2*n:n),{anchor:h}=this.model;function m(e,t){switch(h){case\"top_left\":case\"bottom_left\":case\"left\":case\"center_left\":return[e,e+t];case\"top\":case\"top_center\":case\"bottom\":case\"bottom_center\":case\"center\":case\"center_center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"right\":case\"center_right\":return[e-t,e]}}function g(e,t){switch(h){case\"top_left\":case\"top\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"left\":case\"center_left\":case\"center\":case\"center_center\":case\"right\":case\"center_right\":return[e+t/2,e-t/2]}}if(a)for(let e=0;e({url:[h.StringSpec,{field:\"url\"}],anchor:[_.Anchor,\"top_left\"],global_alpha:[h.NumberSpec,{value:1}],angle:[h.AngleSpec,0],w:[h.NullDistanceSpec,null],h:[h.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))},\n", " function _(e,t,s,i,n){i();const o=e(1);var r;const l=e(78),_=e(48),c=(0,o.__importStar)(e(185)),h=(0,o.__importStar)(e(18)),a=e(12),d=e(13),x=e(179),y=e(184),g=e(72);class p extends x.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s0&&o.set(e,s)}return new g.Selection({indices:[...o.keys()],multiline_indices:(0,d.to_object)(o)})}get_interpolation_hit(e,t,s){const i=this._xs.get(e),n=this._ys.get(e),o=i[t],r=n[t],l=i[t+1],_=n[t+1];return(0,y.line_interpolation)(this.renderer,s,o,r,l,_)}draw_legend_for_index(e,t,s){(0,y.generic_line_vector_legend)(this.visuals,e,t,s)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}s.MultiLineView=p,p.__name__=\"MultiLineView\";class u extends x.Glyph{constructor(e){super(e)}}s.MultiLine=u,r=u,u.__name__=\"MultiLine\",r.prototype.default_view=p,r.define((({})=>({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),r.mixins(_.LineVector)},\n", " function _(t,e,s,n,i){n();const o=t(1);var r;const l=t(181),h=t(179),a=t(184),_=t(12),c=t(12),d=t(48),x=(0,o.__importStar)(t(185)),y=(0,o.__importStar)(t(18)),f=t(72),g=t(11);class p extends h.GlyphView{_project_data(){}_index_data(t){const{min:e,max:s}=Math,{data_size:n}=this;for(let i=0;i1&&c.length>1)for(let s=1,n=i.length;s1){let r=!1;for(let t=1;t({xs:[y.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[y.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),r.mixins([d.LineVector,d.FillVector,d.HatchVector])},\n", " function _(a,e,l,s,_){var t;s();const i=a(274),n=a(12);class p extends i.EllipseOvalView{_map_data(){super._map_data(),(0,n.mul)(this.sw,.75)}}l.OvalView=p,p.__name__=\"OvalView\";class v extends i.EllipseOval{constructor(a){super(a)}}l.Oval=v,t=v,v.__name__=\"Oval\",t.prototype.default_view=p},\n", " function _(e,t,s,i,n){i();const r=e(1);var a;const o=e(179),c=e(184),_=e(12),h=e(48),l=(0,r.__importStar)(e(185)),d=(0,r.__importStar)(e(18)),y=e(72),p=e(11),x=e(78);class f extends o.GlyphView{_project_data(){x.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s({xs:[d.XCoordinateSeqSpec,{field:\"xs\"}],ys:[d.YCoordinateSeqSpec,{field:\"ys\"}]}))),a.mixins([h.LineVector,h.FillVector,h.HatchVector])},\n", " function _(t,e,o,i,s){i();const r=t(1);var n;const _=t(277),d=(0,r.__importStar)(t(18));class a extends _.BoxView{scenterxy(t){return[this.sleft[t]/2+this.sright[t]/2,this.stop[t]/2+this.sbottom[t]/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}o.QuadView=a,a.__name__=\"QuadView\";class c extends _.Box{constructor(t){super(t)}}o.Quad=c,n=c,c.__name__=\"Quad\",n.prototype.default_view=a,n.define((({})=>({right:[d.XCoordinateSpec,{field:\"right\"}],bottom:[d.YCoordinateSpec,{field:\"bottom\"}],left:[d.XCoordinateSpec,{field:\"left\"}],top:[d.YCoordinateSpec,{field:\"top\"}]})))},\n", " function _(e,t,i,n,s){n();const c=e(1);var o;const r=e(48),a=e(78),_=e(179),d=e(184),l=(0,c.__importStar)(e(18));function x(e,t,i){if(t==(e+i)/2)return[e,i];{const n=(e-t)/(e-2*t+i),s=e*(1-n)**2+2*t*(1-n)*n+i*n**2;return[Math.min(e,i,s),Math.max(e,i,s)]}}class y extends _.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:n,_y1:s,_cx:c,_cy:o,data_size:r}=this;for(let a=0;a({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx:[l.XCoordinateSpec,{field:\"cx\"}],cy:[l.YCoordinateSpec,{field:\"cy\"}]}))),o.mixins(r.LineVector)},\n", " function _(e,t,s,i,n){i();const l=e(1);var a;const r=e(178),o=e(184),h=e(48),_=e(24),c=(0,l.__importStar)(e(18));class g extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this.length):this.slength=(0,_.to_screen)(this.length);const{width:e,height:t}=this.renderer.plot_view.frame.bbox,s=2*(e+t),{slength:i}=this;for(let e=0,t=i.length;e({length:[c.DistanceSpec,0],angle:[c.AngleSpec,0]})))},\n", " function _(t,e,s,i,r){var n,h=this&&this.__createBinding||(Object.create?function(t,e,s,i){void 0===i&&(i=s),Object.defineProperty(t,i,{enumerable:!0,get:function(){return e[s]}})}:function(t,e,s,i){void 0===i&&(i=s),t[i]=e[s]}),a=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),l=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var s in t)\"default\"!==s&&Object.prototype.hasOwnProperty.call(t,s)&&h(e,t,s);return a(e,t),e};i();const o=t(275),c=t(184),_=t(24),d=t(12),f=t(72);class y extends o.CenterRotatableView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null==e?void 0:e.regl_wrapper.has_webgl){const{RectGL:s}=await Promise.resolve().then((()=>l(t(425))));this.glglyph=new s(e.regl_wrapper,this)}}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=(0,_.to_screen)(this.width);const t=this.sx.length;this.sx0=new _.ScreenArray(t);for(let e=0;e({dilate:[t,!1]})))},\n", " function _(e,t,s,r,i){r();const a=e(1);var n;const l=e(292),_=e(293),c=(0,a.__importStar)(e(18));class o extends l.MarkerView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{MarkerGL:t}=await Promise.resolve().then((()=>(0,a.__importStar)(e(426))));this.glcls=t}}_init_webgl(){const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){const{regl_wrapper:t}=e;if(t.has_webgl){const e=new Set(null!=this.base?this.base.marker:this.marker);if(1==e.size){const[s]=[...e],r=this.glcls;if(null==r?void 0:r.is_supported(s)){const{glglyph:e}=this;if(null==e||e.marker_type!=s)return void(this.glglyph=new r(t,this,s))}}}}delete this.glglyph}_set_visuals(){this._init_webgl()}_render(e,t,s){const{sx:r,sy:i,size:a,angle:n,marker:l}=null!=s?s:this;for(const s of t){const t=r[s],c=i[s],o=a.get(s),g=n.get(s),h=l.get(s);if(!isFinite(t+c+o+g)||null==h)continue;const w=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[h](e,s,w,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:s,y0:r,y1:i},a){const n=a+1,l=this.marker.get(a),_=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:s,y0:r,y1:i},a)),{marker:new c.UniformScalar(l,n)});this._render(e,[a],_)}}s.ScatterView=o,o.__name__=\"ScatterView\";class g extends l.Marker{constructor(e){super(e)}}s.Scatter=g,n=g,g.__name__=\"Scatter\",n.prototype.default_view=o,n.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))},\n", " function _(e,t,s,n,i){n();const r=e(1);var a;const c=e(178),o=e(48),_=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),l=e(9),x=e(72);class d extends c.XYGlyphView{_render(e,t,s){const{sx:n,sy:i,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=n[s],c=i[s],o=r.get(s),_=a.get(s);if(!isFinite(t+c+o+_))continue;const h=o/2;e.beginPath(),e.translate(t,c),_&&e.rotate(_),this._render_one(e,s,h,this.visuals),_&&e.rotate(-_),e.translate(-t,-c)}}_mask_data(){const{x_target:e,y_target:t}=this.renderer.plot_view.frame,s=e.widen(this.max_size).map((e=>this.renderer.xscale.invert(e))),n=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:n.start,y1:n.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:n}=this,{hit_dilation:i}=this.model,r=t-n*i,a=t+n*i,[c,o]=this.renderer.xscale.r_invert(r,a),_=s-n*i,h=s+n*i,[l,d]=this.renderer.yscale.r_invert(_,h),y=this.index.indices({x0:c,x1:o,y0:l,y1:d}),g=[];for(const e of y){const n=this.size.get(e)/2*i;Math.abs(this.sx[e]-t)<=n&&Math.abs(this.sy[e]-s)<=n&&g.push(e)}return new x.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,n=this.bounds(),i=this.max_size/2;let r,a,c,o;if(\"h\"==e.direction){c=n.y0,o=n.y1;const e=t-i,s=t+i;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=n.x0,a=n.x1;const e=s-i,t=s+i;[c,o]=this.renderer.yscale.r_invert(e,t)}const _=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_rect(e){const{sx0:t,sx1:s,sy0:n,sy1:i}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,o]=this.renderer.yscale.r_invert(n,i),_=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_poly(e){const{sx:t,sy:s}=e,n=(0,l.range)(0,this.sx.length),i=[];for(let e=0,r=n.length;e({size:[h.ScreenSizeSpec,{value:4}],angle:[h.AngleSpec,0],hit_dilation:[e,1]})))},\n", " function _(l,o,n,t,i){t();const e=Math.sqrt(3),a=Math.sqrt(5),c=(a+1)/4,p=Math.sqrt((5-a)/8),r=(a-1)/4,h=Math.sqrt((5+a)/8);function u(l,o){l.rotate(Math.PI/4),s(l,o),l.rotate(-Math.PI/4)}function f(l,o){const n=o*e,t=n/3;l.moveTo(-n/2,-t),l.lineTo(0,0),l.lineTo(n/2,-t),l.lineTo(0,0),l.lineTo(0,o)}function s(l,o){l.moveTo(0,o),l.lineTo(0,-o),l.moveTo(-o,0),l.lineTo(o,0)}function T(l,o){l.moveTo(0,o),l.lineTo(o/1.5,0),l.lineTo(0,-o),l.lineTo(-o/1.5,0),l.closePath()}function y(l,o){const n=o*e,t=n/3;l.moveTo(-o,t),l.lineTo(o,t),l.lineTo(0,t-n),l.closePath()}function v(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function d(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function _(l,o,n,t){!function(l,o){l.beginPath(),l.arc(0,0,o/4,0,2*Math.PI,!1),l.closePath()}(l,n),t.line.set_vectorize(l,o),l.fillStyle=l.strokeStyle,l.fill()}function P(l,o,n,t){!function(l,o){const n=o/2,t=e*n;l.moveTo(o,0),l.lineTo(n,-t),l.lineTo(-n,-t),l.lineTo(-o,0),l.lineTo(-n,t),l.lineTo(n,t),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function m(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function q(l,o,n,t){!function(l,o){const n=Math.sqrt(5-2*a)*o;l.moveTo(0,-o),l.lineTo(n*r,n*h-o),l.lineTo(n*(1+r),n*h-o),l.lineTo(n*(1+r-c),n*(h+p)-o),l.lineTo(n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(0,2*n*h-o),l.lineTo(-n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(-n*(1+r-c),n*(h+p)-o),l.lineTo(-n*(1+r),n*h-o),l.lineTo(-n*r,n*h-o),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function M(l,o,n,t){y(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}n.marker_funcs={asterisk:function(l,o,n,t){s(l,n),u(l,n),t.line.apply(l,o)},circle:v,circle_cross:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},circle_dot:function(l,o,n,t){v(l,o,n,t),_(l,o,n,t)},circle_y:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),f(l,n),l.stroke())},circle_x:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),u(l,n),l.stroke())},cross:function(l,o,n,t){s(l,n),t.line.apply(l,o)},diamond:d,diamond_dot:function(l,o,n,t){d(l,o,n,t),_(l,o,n,t)},diamond_cross:function(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(0,n),l.lineTo(0,-n),l.moveTo(-n/1.5,0),l.lineTo(n/1.5,0),l.stroke())},dot:_,hex:P,hex_dot:function(l,o,n,t){P(l,o,n,t),_(l,o,n,t)},inverted_triangle:function(l,o,n,t){l.rotate(Math.PI),y(l,n),l.rotate(-Math.PI),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},plus:function(l,o,n,t){const i=3*n/8,e=[i,i,n,n,i,i,-i,-i,-n,-n,-i,-i],a=[n,i,i,-i,-i,-n,-n,-i,-i,i,i,n];l.beginPath();for(let o=0;o<12;o++)l.lineTo(e[o],a[o]);l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square:m,square_cross:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},square_dot:function(l,o,n,t){m(l,o,n,t),_(l,o,n,t)},square_pin:function(l,o,n,t){const i=3*n/8;l.moveTo(-n,-n),l.quadraticCurveTo(0,-i,n,-n),l.quadraticCurveTo(i,0,n,n),l.quadraticCurveTo(0,i,-n,n),l.quadraticCurveTo(-i,0,-n,-n),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square_x:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(-n,n),l.lineTo(n,-n),l.moveTo(-n,-n),l.lineTo(n,n),l.stroke())},star:q,star_dot:function(l,o,n,t){q(l,o,n,t),_(l,o,n,t)},triangle:M,triangle_dot:function(l,o,n,t){M(l,o,n,t),_(l,o,n,t)},triangle_pin:function(l,o,n,t){const i=n*e,a=i/3,c=3*a/8;l.moveTo(-n,a),l.quadraticCurveTo(0,c,n,a),l.quadraticCurveTo(e*c/2,c/2,0,a-i),l.quadraticCurveTo(-e*c/2,c/2,-n,a),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},dash:function(l,o,n,t){!function(l,o){l.moveTo(-o,0),l.lineTo(o,0)}(l,n),t.line.apply(l,o)},x:function(l,o,n,t){u(l,n),t.line.apply(l,o)},y:function(l,o,n,t){f(l,n),t.line.apply(l,o)}}},\n", " function _(e,t,s,i,n){i();const r=e(1);var o;const _=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),c=e(48),a=e(78),d=e(179),x=e(184),l=e(72);class y extends d.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{_x0:i,_x1:n,_y0:r,_y1:o,data_size:_}=this;for(let h=0;h<_;h++){const _=i[h],c=n[h],a=r[h],d=o[h];e.add_rect(t(_,c),t(a,d),s(_,c),s(a,d))}}_render(e,t,s){if(this.visuals.line.doit){const{sx0:i,sy0:n,sx1:r,sy1:o}=null!=s?s:this;for(const s of t){const t=i[s],_=n[s],h=r[s],c=o[s];isFinite(t+_+h+c)&&(e.beginPath(),e.moveTo(t,_),e.lineTo(h,c),this.visuals.line.set_vectorize(e,s),e.stroke())}}}_hit_point(e){const{sx:t,sy:s}=e,i={x:t,y:s},[n,r]=this.renderer.xscale.r_invert(t-2,t+2),[o,h]=this.renderer.yscale.r_invert(s-2,s+2),c=this.index.indices({x0:n,y0:o,x1:r,y1:h}),a=[];for(const e of c){const t=Math.max(2,this.line_width.get(e)/2)**2,s={x:this.sx0[e],y:this.sy0[e]},n={x:this.sx1[e],y:this.sy1[e]};_.dist_to_segment_squared(i,s,n)({x0:[h.XCoordinateSpec,{field:\"x0\"}],y0:[h.YCoordinateSpec,{field:\"y0\"}],x1:[h.XCoordinateSpec,{field:\"x1\"}],y1:[h.YCoordinateSpec,{field:\"y1\"}]}))),o.mixins(c.LineVector)},\n", " function _(t,e,s,i,n){i();const o=t(1);var _;const l=t(178),a=(0,o.__importStar)(t(48)),c=t(296);class r extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=(0,c.catmullrom_spline)(this._x,this._y,20,t,e)}_map_data(){const{x_scale:t,y_scale:e}=this.renderer.coordinates;this.sxt=t.v_compute(this._xt),this.syt=e.v_compute(this._yt)}_render(t,e,s){const{sxt:i,syt:n}=null!=s?s:this;let o=!0;t.beginPath();const _=i.length;for(let e=0;e<_;e++){const s=i[e],_=n[e];isFinite(s+_)?o?(t.moveTo(s,_),o=!1):t.lineTo(s,_):o=!0}this.visuals.line.set_value(t),t.stroke()}}s.SplineView=r,r.__name__=\"SplineView\";class h extends l.XYGlyph{constructor(t){super(t)}}s.Spline=h,_=h,h.__name__=\"Spline\",_.prototype.default_view=r,_.mixins(a.LineScalar),_.define((({Boolean:t,Number:e})=>({tension:[e,.5],closed:[t,!1]})))},\n", " function _(n,t,e,o,s){o();const c=n(24),l=n(11);e.catmullrom_spline=function(n,t,e=10,o=.5,s=!1){(0,l.assert)(n.length==t.length);const r=n.length,f=s?r+1:r,w=(0,c.infer_type)(n,t),i=new w(f+2),u=new w(f+2);i.set(n,1),u.set(t,1),s?(i[0]=n[r-1],u[0]=t[r-1],i[f]=n[0],u[f]=t[0],i[f+1]=n[1],u[f+1]=t[1]):(i[0]=n[0],u[0]=t[0],i[f+1]=n[r-1],u[f+1]=t[r-1]);const g=new w(4*(e+1));for(let n=0,t=0;n<=e;n++){const o=n/e,s=o**2,c=o*s;g[t++]=2*c-3*s+1,g[t++]=-2*c+3*s,g[t++]=c-2*s+o,g[t++]=c-s}const h=new w((f-1)*(e+1)),_=new w((f-1)*(e+1));for(let n=1,t=0;n1&&(e.stroke(),o=!1)}o?(e.lineTo(t,r),e.lineTo(a,c)):(e.beginPath(),e.moveTo(s[n],i[n]),o=!0),l=n}e.lineTo(s[a-1],i[a-1]),e.stroke()}}draw_legend_for_index(e,t,n){(0,r.generic_line_scalar_legend)(this.visuals,e,t)}}n.StepView=f,f.__name__=\"StepView\";class u extends a.XYGlyph{constructor(e){super(e)}}n.Step=u,l=u,u.__name__=\"Step\",l.prototype.default_view=f,l.mixins(c.LineScalar),l.define((()=>({mode:[_.StepMode,\"before\"]})))},\n", " function _(t,e,s,i,n){i();const o=t(1);var _;const h=t(178),l=t(48),r=(0,o.__importStar)(t(185)),a=(0,o.__importStar)(t(18)),c=t(121),x=t(11),u=t(72);class f extends h.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,s){const{sx:i,sy:n,x_offset:o,y_offset:_,angle:h,text:l}=null!=s?s:this;this._sys=[],this._sxs=[];for(const s of e){const e=this._sxs[s]=[],r=this._sys[s]=[],a=i[s],x=n[s],u=o.get(s),f=_.get(s),p=h.get(s),g=l.get(s);if(isFinite(a+x+u+f+p)&&null!=g&&this.visuals.text.doit){const i=`${g}`;t.save(),t.translate(a+u,x+f),t.rotate(p),this.visuals.text.set_vectorize(t,s);const n=this.visuals.text.font_value(s),{height:o}=(0,c.font_metrics)(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=a+u,n=x+f,o=t.measureText(i).width,[h,l]=this._text_bounds(s,n,o,_);e.push(h),r.push(l)}else{const n=i.split(\"\\n\"),o=_*n.length,h=this.text_baseline.get(s);let l;switch(h){case\"top\":l=0;break;case\"middle\":l=-o/2+_/2;break;case\"bottom\":l=-o+_;break;default:l=0,console.warn(`'${h}' baseline not supported with multi line text`)}for(const s of n){t.fillText(s,0,l);const i=a+u,n=l+x+f,o=t.measureText(s).width,[h,c]=this._text_bounds(i,n,o,_);e.push(h),r.push(c),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t({text:[a.NullStringSpec,{field:\"text\"}],angle:[a.AngleSpec,0],x_offset:[a.NumberSpec,0],y_offset:[a.NumberSpec,0]})))},\n", " function _(t,s,e,i,r){i();const h=t(1);var o;const a=t(277),n=t(24),_=(0,h.__importStar)(t(18));class c extends a.BoxView{scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const s=this.width.get(t)/2,e=this._x[t],i=this._top[t],r=this._bottom[t];return[e-s,e+s,Math.max(i,r),Math.min(i,r)]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new n.ScreenArray(t),this.sright=new n.ScreenArray(t);for(let s=0;s({x:[_.XCoordinateSpec,{field:\"x\"}],bottom:[_.YCoordinateSpec,{value:0}],width:[_.NumberSpec,{value:1}],top:[_.YCoordinateSpec,{field:\"top\"}]})))},\n", " function _(e,s,t,i,n){i();const r=e(1);var a;const c=e(178),l=e(184),d=e(48),o=e(24),h=e(20),_=(0,r.__importStar)(e(18)),u=e(10),g=e(72);class p extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,o.to_screen)(this.radius)}_render(e,s,t){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=t?t:this,l=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],d=n[t],o=r[t],h=a.get(t),_=c.get(t);isFinite(s+d+o+h+_)&&(e.beginPath(),e.arc(s,d,o,h,_,l),e.lineTo(s,d),e.closePath(),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t))}}_hit_point(e){let s,t,i,n,r,a,c,l,d;const{sx:o,sy:h}=e,_=this.renderer.xscale.invert(o),p=this.renderer.yscale.invert(h),x=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=_-x,c=_+x,l=p-x,d=p+x):(t=o-x,i=o+x,[a,c]=this.renderer.xscale.r_invert(t,i),n=h-x,r=h+x,[l,d]=this.renderer.yscale.r_invert(n,r));const y=[];for(const e of this.index.indices({x0:a,x1:c,y0:l,y1:d})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(_,this._x[e]),[n,r]=this.renderer.yscale.r_compute(p,this._y[e]),s=(t-i)**2+(n-r)**2,s<=a&&y.push(e)}const f=\"anticlock\"==this.model.direction,m=[];for(const e of y){const s=Math.atan2(h-this.sy[e],o-this.sx[e]);(0,u.angle_between)(-s,-this.start_angle.get(e),-this.end_angle.get(e),f)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,l.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=p,p.__name__=\"WedgeView\";class x extends c.XYGlyph{constructor(e){super(e)}}t.Wedge=x,a=x,x.__name__=\"Wedge\",a.prototype.default_view=p,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],radius:[_.DistanceSpec,{field:\"radius\"}],start_angle:[_.AngleSpec,{field:\"start_angle\"}],end_angle:[_.AngleSpec,{field:\"end_angle\"}]})))},\n", " function _(t,_,r,o,a){o();const e=t(1);(0,e.__exportStar)(t(302),r),(0,e.__exportStar)(t(303),r),(0,e.__exportStar)(t(304),r)},\n", " function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(72);class c extends o.Model{constructor(e){super(e)}_hit_test(e,t,d){if(!t.model.visible)return null;const n=d.glyph.hit_test(e);return null==n?null:d.model.view.convert_selection_from_subset(n)}}d.GraphHitTestPolicy=c,c.__name__=\"GraphHitTestPolicy\";class a extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;return s.update(e,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{edge_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.edge_view.model);return r.update(e,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!r.is_empty()}}d.EdgesOnly=a,a.__name__=\"EdgesOnly\";class l extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}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{node_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.node_view.model);return r.update(e,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!r.is_empty()}}d.NodesOnly=l,l.__name__=\"NodesOnly\";class u extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}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;e(0,r.indexOf)(e.data.index,t)));return new i.Selection({indices:o})}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,r=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,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 r=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),_=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=m,m.__name__=\"EdgesAndLinkedNodes\"},\n", " function _(e,o,t,r,n){var s;r();const a=e(53),d=e(260);class _ extends a.Model{constructor(e){super(e)}get node_coordinates(){return new u({layout:this})}get edge_coordinates(){return new i({layout:this})}}t.LayoutProvider=_,_.__name__=\"LayoutProvider\";class c extends d.CoordinateTransform{constructor(e){super(e)}}t.GraphCoordinates=c,s=c,c.__name__=\"GraphCoordinates\",s.define((({Ref:e})=>({layout:[e(_)]})));class u extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_node_coordinates(e);return{x:o,y:t}}}t.NodeCoordinates=u,u.__name__=\"NodeCoordinates\";class i extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_edge_coordinates(e);return{x:o,y:t}}}t.EdgeCoordinates=i,i.__name__=\"EdgeCoordinates\"},\n", " function _(t,a,l,e,n){var o;e();const r=t(303);class u extends r.LayoutProvider{constructor(t){super(t)}get_node_coordinates(t){var a;const l=null!==(a=t.data.index)&&void 0!==a?a:[],e=l.length,n=new Float64Array(e),o=new Float64Array(e);for(let t=0;t({graph_layout:[l(a(t,t)),{}]})))},\n", " function _(i,d,n,r,G){r(),G(\"Grid\",i(306).Grid)},\n", " function _(i,e,n,s,t){s();const r=i(1);var o;const d=i(127),_=i(129),a=i(130),l=(0,r.__importStar)(i(48)),h=i(8);class c extends _.GuideRendererView{_render(){const i=this.layer.ctx;i.save(),this._draw_regions(i),this._draw_minor_grids(i),this._draw_grids(i),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,n]=this.grid_coords(\"major\",!1);for(let s=0;sn[1]&&(t=n[1]);else{[s,t]=n;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,t]=i.computed_bounds)}return[s,t]}grid_coords(i,e=!0){const n=this.model.dimension,s=(n+1)%2,[t,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const _=[[],[]],a=this.model.get_ticker();if(null==a)return _;const l=a.get_ticks(o,d,t,r.min)[i],h=t.min,c=t.max,u=r.min,m=r.max;e||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=c&&l.push(c));for(let i=0;i({bounds:[r(t(i,i),e),\"auto\"],dimension:[n(0,1),0],axis:[o(s(d.Axis)),null],ticker:[o(s(a.Ticker)),null]}))),o.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})},\n", " function _(o,a,x,B,e){B(),e(\"Box\",o(308).Box),e(\"Column\",o(310).Column),e(\"GridBox\",o(311).GridBox),e(\"HTMLBox\",o(312).HTMLBox),e(\"LayoutDOM\",o(309).LayoutDOM),e(\"Panel\",o(313).Panel),e(\"Row\",o(314).Row),e(\"Spacer\",o(315).Spacer),e(\"Tabs\",o(316).Tabs),e(\"WidgetBox\",o(319).WidgetBox)},\n", " function _(e,n,s,t,c){var i;t();const o=e(309);class r extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}s.BoxView=r,r.__name__=\"BoxView\";class a extends o.LayoutDOM{constructor(e){super(e)}}s.Box=a,i=a,a.__name__=\"Box\",i.define((({Number:e,Array:n,Ref:s})=>({children:[n(s(o.LayoutDOM)),[]],spacing:[e,0]})))},\n", " function _(t,i,e,s,o){var l;s();const n=t(53),h=t(20),a=t(43),r=t(19),_=t(8),c=t(22),u=t(121),d=t(113),p=t(226),m=t(207),g=t(44),w=t(235);class f extends p.DOMView{constructor(){super(...arguments),this._offset_parent=null,this._viewport={}}get is_layout_root(){return this.is_root||!(this.parent instanceof f)}get base_font_size(){const t=getComputedStyle(this.el).fontSize,i=(0,u.parse_css_font_size)(t);if(null!=i){const{value:t,unit:e}=i;if(\"px\"==e)return t}return null}initialize(){super.initialize(),this.el.style.position=this.is_layout_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_layout_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval((()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))}),250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],(()=>this.invalidate_layout())),this.on_change([t.background,t.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((t=>this._child_views.get(t)))}async build_child_views(){await(0,d.build_views)(this._child_views,this.child_models,{parent:this})}render(){super.render(),(0,a.empty)(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?(0,c.color2css)(t):\"\",(0,a.classes)(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_layout_root?this.layout.sizing.margin:void 0;(0,a.position)(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build(),this.notify_finished()}build(){if(!this.is_layout_root)throw new Error(`${this.toString()} is not a root layout`);return this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),r.logger.debug(`layout computed in ${Date.now()-t} ms`)}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 t of this.child_views)if(!t.has_finished())return!1;return!0}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:h,height:a}=this.model;null!=h&&(o.width=h),null!=a&&(o.height=a);const{max_width:r,max_height:c}=this.model;null!=r&&(o.max_width=r),null!=c&&(o.max_height=c),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:(0,_.isNumber)(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if((0,_.isNumber)(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:d}=this.model;return(0,_.isArray)(d)?[o.halign,o.valign]=d:o.halign=o.valign=d,o}_viewport_size(){return(0,a.undisplayed)(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(g.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=(0,a.extents)(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=(0,a.extents)(t),{width:l,height:n}=t.getBoundingClientRect(),h=Math.ceil(l-i-e),r=Math.ceil(n-s-o);if(h>0||r>0)return{width:h>0?h:void 0,height:r>0?r:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new w.CanvasLayer(e,i),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(t,i),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map((t=>t.serializable_state()))})}}e.LayoutDOMView=f,f.__name__=\"LayoutDOMView\";class y extends n.Model{constructor(t){super(t)}}e.LayoutDOM=y,l=y,y.__name__=\"LayoutDOM\",l.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:n,Tuple:a,Or:r,Null:_,Nullable:c}=t,u=a(e,e),d=a(e,e,e,e);return{width:[c(e),null],height:[c(e),null],min_width:[c(e),null],min_height:[c(e),null],max_width:[c(e),null],max_height:[c(e),null],margin:[c(r(e,u,d)),[0,0,0,0]],width_policy:[r(m.SizingPolicy,o),\"auto\"],height_policy:[r(m.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[c(h.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(h.Align,a(h.Align,h.Align)),\"start\"],background:[c(l),null],css_classes:[n(s),[]]}}))},\n", " function _(o,s,t,i,e){var n;i();const a=o(308),l=o(209);class u extends a.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Column(o),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}t.ColumnView=u,u.__name__=\"ColumnView\";class _ extends a.Box{constructor(o){super(o)}}t.Column=_,n=_,_.__name__=\"Column\",n.prototype.default_view=u,n.define((({Any:o})=>({rows:[o,\"auto\"]})))},\n", " function _(s,o,t,i,e){var n;i();const l=s(309),a=s(209);class r extends l.LayoutDOMView{connect_signals(){super.connect_signals();const{children:s,rows:o,cols:t,spacing:i}=this.model.properties;this.on_change([s,o,t,i],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([s])=>s))}_update_layout(){this.layout=new a.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[s,o,t,i,e]of this.model.children){const n=this._child_views.get(s);this.layout.items.push({layout:n.layout,row:o,col:t,row_span:i,col_span:e})}this.layout.set_sizing(this.box_sizing())}}t.GridBoxView=r,r.__name__=\"GridBoxView\";class c extends l.LayoutDOM{constructor(s){super(s)}}t.GridBox=c,n=c,c.__name__=\"GridBox\",n.prototype.default_view=r,n.define((({Any:s,Int:o,Number:t,Tuple:i,Array:e,Ref:n,Or:a,Opt:r})=>({children:[e(i(n(l.LayoutDOM),o,o,r(o),r(o))),[]],rows:[s,\"auto\"],cols:[s,\"auto\"],spacing:[a(t,i(t,t)),0]})))},\n", " function _(t,e,o,s,n){s();const _=t(309),i=t(207);class a extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new i.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=a,a.__name__=\"HTMLBoxView\";class u extends _.LayoutDOM{constructor(t){super(t)}}o.HTMLBox=u,u.__name__=\"HTMLBox\"},\n", " function _(e,n,l,a,o){var t;a();const s=e(53),c=e(309);class d extends s.Model{constructor(e){super(e)}}l.Panel=d,t=d,d.__name__=\"Panel\",t.define((({Boolean:e,String:n,Ref:l})=>({title:[n,\"\"],child:[l(c.LayoutDOM)],closable:[e,!1],disabled:[e,!1]})))},\n", " function _(o,s,t,i,e){var a;i();const n=o(308),l=o(209);class _ extends n.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Row(o),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}t.RowView=_,_.__name__=\"RowView\";class c extends n.Box{constructor(o){super(o)}}t.Row=c,a=c,c.__name__=\"Row\",a.prototype.default_view=_,a.define((({Any:o})=>({cols:[o,\"auto\"]})))},\n", " function _(e,t,a,s,_){var o;s();const i=e(309),n=e(207);class u extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new n.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=u,u.__name__=\"SpacerView\";class c extends i.LayoutDOM{constructor(e){super(e)}}a.Spacer=c,o=c,c.__name__=\"Spacer\",o.prototype.default_view=u},\n", " function _(e,t,s,i,l){i();const h=e(1);var a;const o=e(207),d=e(43),r=e(9),c=e(10),n=e(20),_=e(309),p=e(313),b=(0,h.__importStar)(e(317)),m=b,u=(0,h.__importStar)(e(318)),g=u,v=(0,h.__importStar)(e(229)),w=v;class f extends _.LayoutDOMView{constructor(){super(...arguments),this._scroll_index=0}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()))}styles(){return[...super.styles(),u.default,v.default,b.default]}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 o.ContentBox{_measure(e){const l=(0,d.size)(s),h=(0,d.children)(i).slice(0,3).map((e=>(0,d.size)(e))),{width:a,height:o}=super._measure(e);if(t){const t=l.width+(0,r.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:o}}{const t=l.height+(0,r.sum)(h.map((e=>e.height)));return{width:a,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 l=1,h=1;switch(e){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":h-=1;break;case\"right\":h+=1}const a={layout:this.header,row:l,col:h},c=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new o.Grid([a,...c]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,d.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,d.size)(this.scroll_el),i=(0,d.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\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxWidth=\"\",(0,d.undisplay)(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxHeight=\"\",(0,d.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)(0,d.hide)(e.el);const h=l[this.model.active];null!=h&&(0,d.show)(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs.map(((t,s)=>{const i=(0,d.div)({class:[m.tab,s==e?m.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{this.model.disabled||e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=(0,d.div)({class:m.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,r.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(this.model.disabled||t.disabled)&&i.classList.add(m.disabled),i}));this.headers_el=(0,d.div)({class:[m.headers]},t),this.wrapper_el=(0,d.div)({class:m.headers_wrapper},this.headers_el),this.left_el=(0,d.div)({class:[g.btn,g.btn_default],disabled:\"\"},(0,d.div)({class:[w.caret,m.left]})),this.right_el=(0,d.div)({class:[g.btn,g.btn_default]},(0,d.div)({class:[w.caret,m.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,d.div)({class:g.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,d.div)({class:[m.tabs_header,m[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}do_scroll(e){const t=this.model.tabs.length;\"left\"==e?this._scroll_index-=1:\"right\"==e?this._scroll_index+=1:this._scroll_index=e,this._scroll_index=(0,c.clamp)(this._scroll_index,0,t-1),0==this._scroll_index?this.left_el.setAttribute(\"disabled\",\"\"):this.left_el.removeAttribute(\"disabled\"),this._scroll_index==t-1?this.right_el.setAttribute(\"disabled\",\"\"):this.right_el.removeAttribute(\"disabled\");const s=(0,d.children)(this.headers_el).slice(0,this._scroll_index).map((e=>e.getBoundingClientRect())),i=this.model.tabs_location;if(\"above\"==i||\"below\"==i){const e=-(0,r.sum)(s.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-(0,r.sum)(s.map((e=>e.height)));this.headers_el.style.top=`${e}px`}}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=(0,d.children)(this.headers_el);for(const e of t)e.classList.remove(m.active);t[e].classList.add(m.active);const{child_views:s}=this;for(const e of s)(0,d.hide)(e.el);(0,d.show)(s[e].el)}}s.TabsView=f,f.__name__=\"TabsView\";class x extends _.LayoutDOM{constructor(e){super(e)}}s.Tabs=x,a=x,x.__name__=\"Tabs\",a.prototype.default_view=f,a.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(p.Panel)),[]],tabs_location:[n.Location,\"above\"],active:[e,0]})))},\n", " function _(e,r,b,o,t){o(),b.root=\"bk-root\",b.tabs_header=\"bk-tabs-header\",b.btn_group=\"bk-btn-group\",b.btn=\"bk-btn\",b.headers_wrapper=\"bk-headers-wrapper\",b.above=\"bk-above\",b.right=\"bk-right\",b.below=\"bk-below\",b.left=\"bk-left\",b.headers=\"bk-headers\",b.tab=\"bk-tab\",b.active=\"bk-active\",b.close=\"bk-close\",b.disabled=\"bk-disabled\",b.default='.bk-root .bk-tabs-header{display:flex;flex-wrap:nowrap;align-items:center;overflow:hidden;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-tabs-header .bk-btn-group{height:auto;margin-right:5px;}.bk-root .bk-tabs-header .bk-btn-group > .bk-btn{flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;overflow:hidden;color:#666666;}.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper{border-bottom:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper{border-left:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper{border-top:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper{border-right:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-above,.bk-root .bk-tabs-header.bk-below{flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-tabs-header .bk-tab{padding:4px 8px;border:solid transparent;white-space:nowrap;cursor:pointer;}.bk-root .bk-tabs-header .bk-tab:hover{background-color:#f2f2f2;}.bk-root .bk-tabs-header .bk-tab.bk-active{color:#4d4d4d;background-color:white;border-color:#e6e6e6;}.bk-root .bk-tabs-header .bk-tab .bk-close{margin-left:10px;}.bk-root .bk-tabs-header .bk-tab.bk-disabled{cursor:not-allowed;pointer-events:none;opacity:0.65;}.bk-root .bk-tabs-header.bk-above .bk-tab{border-width:3px 1px 0px 1px;border-radius:4px 4px 0 0;}.bk-root .bk-tabs-header.bk-right .bk-tab{border-width:1px 3px 1px 0px;border-radius:0 4px 4px 0;}.bk-root .bk-tabs-header.bk-below .bk-tab{border-width:0px 1px 3px 1px;border-radius:0 0 4px 4px;}.bk-root .bk-tabs-header.bk-left .bk-tab{border-width:1px 0px 1px 3px;border-radius:4px 0 0 4px;}.bk-root .bk-close{display:inline-block;width:10px;height:10px;vertical-align:middle;background-image:url(\\'data:image/svg+xml;utf8, \\');}.bk-root .bk-close:hover{background-image:url(\\'data:image/svg+xml;utf8, \\');}'},\n", " function _(o,b,r,t,e){t(),r.root=\"bk-root\",r.btn=\"bk-btn\",r.active=\"bk-active\",r.btn_default=\"bk-btn-default\",r.btn_primary=\"bk-btn-primary\",r.btn_success=\"bk-btn-success\",r.btn_warning=\"bk-btn-warning\",r.btn_danger=\"bk-btn-danger\",r.btn_light=\"bk-btn-light\",r.btn_group=\"bk-btn-group\",r.vertical=\"bk-vertical\",r.horizontal=\"bk-horizontal\",r.dropdown_toggle=\"bk-dropdown-toggle\",r.default=\".bk-root .bk-btn{height:100%;display:inline-block;text-align:center;vertical-align:middle;white-space:nowrap;cursor:pointer;padding:6px 12px;font-size:12px;border:1px solid transparent;border-radius:4px;outline:0;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-btn:hover,.bk-root .bk-btn:focus{text-decoration:none;}.bk-root .bk-btn:active,.bk-root .bk-btn.bk-active{background-image:none;box-shadow:inset 0 3px 5px rgba(0, 0, 0, 0.125);}.bk-root .bk-btn[disabled]{cursor:not-allowed;pointer-events:none;opacity:0.65;box-shadow:none;}.bk-root .bk-btn-default{color:#333;background-color:#fff;border-color:#ccc;}.bk-root .bk-btn-default:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-default.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-default[disabled],.bk-root .bk-btn-default[disabled]:hover,.bk-root .bk-btn-default[disabled]:focus,.bk-root .bk-btn-default[disabled]:active,.bk-root .bk-btn-default[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-primary{color:#fff;background-color:#428bca;border-color:#357ebd;}.bk-root .bk-btn-primary:hover{background-color:#3681c1;border-color:#2c699e;}.bk-root .bk-btn-primary.bk-active{background-color:#3276b1;border-color:#285e8e;}.bk-root .bk-btn-primary[disabled],.bk-root .bk-btn-primary[disabled]:hover,.bk-root .bk-btn-primary[disabled]:focus,.bk-root .bk-btn-primary[disabled]:active,.bk-root .bk-btn-primary[disabled].bk-active{background-color:#506f89;border-color:#357ebd;}.bk-root .bk-btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c;}.bk-root .bk-btn-success:hover{background-color:#4eb24e;border-color:#409240;}.bk-root .bk-btn-success.bk-active{background-color:#47a447;border-color:#398439;}.bk-root .bk-btn-success[disabled],.bk-root .bk-btn-success[disabled]:hover,.bk-root .bk-btn-success[disabled]:focus,.bk-root .bk-btn-success[disabled]:active,.bk-root .bk-btn-success[disabled].bk-active{background-color:#667b66;border-color:#4cae4c;}.bk-root .bk-btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236;}.bk-root .bk-btn-warning:hover{background-color:#eea43b;border-color:#e89014;}.bk-root .bk-btn-warning.bk-active{background-color:#ed9c28;border-color:#d58512;}.bk-root .bk-btn-warning[disabled],.bk-root .bk-btn-warning[disabled]:hover,.bk-root .bk-btn-warning[disabled]:focus,.bk-root .bk-btn-warning[disabled]:active,.bk-root .bk-btn-warning[disabled].bk-active{background-color:#c89143;border-color:#eea236;}.bk-root .bk-btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a;}.bk-root .bk-btn-danger:hover{background-color:#d5433e;border-color:#bd2d29;}.bk-root .bk-btn-danger.bk-active{background-color:#d2322d;border-color:#ac2925;}.bk-root .bk-btn-danger[disabled],.bk-root .bk-btn-danger[disabled]:hover,.bk-root .bk-btn-danger[disabled]:focus,.bk-root .bk-btn-danger[disabled]:active,.bk-root .bk-btn-danger[disabled].bk-active{background-color:#a55350;border-color:#d43f3a;}.bk-root .bk-btn-light{color:#333;background-color:#fff;border-color:#ccc;border-color:transparent;}.bk-root .bk-btn-light:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-light.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-light[disabled],.bk-root .bk-btn-light[disabled]:hover,.bk-root .bk-btn-light[disabled]:focus,.bk-root .bk-btn-light[disabled]:active,.bk-root .bk-btn-light[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-group{height:100%;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-btn-group:not(.bk-vertical),.bk-root .bk-btn-group.bk-horizontal{flex-direction:row;}.bk-root .bk-btn-group.bk-vertical{flex-direction:column;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group.bk-vertical > .bk-btn + .bk-btn{margin-top:-1px;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:first-child:not(:last-child){border-bottom-left-radius:0;border-bottom-right-radius:0;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:not(:first-child):last-child{border-top-left-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child){border-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn{width:100%;}.bk-root .bk-btn-group .bk-dropdown-toggle{flex:0 0 0;padding:6px 6px;}\"},\n", " function _(e,t,o,n,_){var i;n();const s=e(310);class d extends s.ColumnView{}o.WidgetBoxView=d,d.__name__=\"WidgetBoxView\";class a extends s.Column{constructor(e){super(e)}}o.WidgetBox=a,i=a,a.__name__=\"WidgetBox\",i.prototype.default_view=d},\n", " function _(t,a,i,e,M){e();var T=t(135);M(\"MathText\",T.MathText),M(\"Ascii\",T.Ascii),M(\"MathML\",T.MathML),M(\"TeX\",T.TeX),M(\"PlainText\",t(139).PlainText)},\n", " function _(r,o,t,e,n){e(),n(\"CustomJSTransform\",r(322).CustomJSTransform),n(\"Dodge\",r(323).Dodge),n(\"Interpolator\",r(325).Interpolator),n(\"Jitter\",r(326).Jitter),n(\"LinearInterpolator\",r(327).LinearInterpolator),n(\"StepInterpolator\",r(328).StepInterpolator),n(\"Transform\",r(56).Transform)},\n", " function _(r,t,s,n,e){var a;n();const u=r(56),o=r(13),m=r(34);class _ extends u.Transform{constructor(r){super(r)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}_make_transform(r,t){return new Function(...this.names,r,(0,m.use_strict)(t))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(r){return this.scalar_transform(...this.values,r)}v_compute(r){return this.vector_transform(...this.values,r)}}s.CustomJSTransform=_,a=_,_.__name__=\"CustomJSTransform\",a.define((({Unknown:r,String:t,Dict:s})=>({args:[s(r),{}],func:[t,\"\"],v_func:[t,\"\"]})))},\n", " function _(e,n,r,o,s){var t;o();const u=e(324);class a extends u.RangeTransform{constructor(e){super(e)}_compute(e){return e+this.value}}r.Dodge=a,t=a,a.__name__=\"Dodge\",t.define((({Number:e})=>({value:[e,0]})))},\n", " function _(e,n,t,r,a){var s;r();const c=e(56),o=e(57),i=e(67),u=e(24),h=e(8),l=e(11);class g extends c.Transform{constructor(e){super(e)}v_compute(e){let n;this.range instanceof i.FactorRange?n=this.range.v_synthetic(e):(0,h.isArrayableOf)(e,h.isNumber)?n=e:(0,l.unreachable)();const t=new((0,u.infer_type)(n))(n.length);for(let e=0;e({range:[n(e(o.Range)),null]})))},\n", " function _(t,e,r,n,s){var o;n();const i=t(56),a=t(70),h=t(24),l=t(9),d=t(8);class c extends i.Transform{constructor(t){super(t),this._sorted_dirty=!0}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._sorted_dirty=!0))}v_compute(t){const e=new((0,h.infer_type)(t))(t.length);for(let r=0;ro*(e[t]-e[r]))),this._x_sorted=new((0,h.infer_type)(e))(n),this._y_sorted=new((0,h.infer_type)(r))(n);for(let t=0;t({x:[o(r,s(e))],y:[o(r,s(e))],data:[i(n(a.ColumnarDataSource)),null],clip:[t,!0]})))},\n", " function _(t,s,e,i,r){i();const n=t(1);var o;const a=t(324),u=t(67),h=t(20),c=t(8),m=t(12),f=(0,n.__importStar)(t(10)),_=t(11);class p extends a.RangeTransform{constructor(t){super(t)}v_compute(t){var s;let e;this.range instanceof u.FactorRange?e=this.range.v_synthetic(t):(0,c.isArrayableOf)(t,c.isNumber)?e=t:(0,_.unreachable)();const i=e.length;(null===(s=this.previous_offsets)||void 0===s?void 0:s.length)!=i&&(this.previous_offsets=new Array(i),this.previous_offsets=(0,m.map)(this.previous_offsets,(()=>this._compute())));const r=this.previous_offsets;return(0,m.map)(e,((t,s)=>r[s]+t))}_compute(){switch(this.distribution){case\"uniform\":return this.mean+(f.random()-.5)*this.width;case\"normal\":return f.rnorm(this.mean,this.width)}}}e.Jitter=p,o=p,p.__name__=\"Jitter\",o.define((({Number:t})=>({mean:[t,0],width:[t,1],distribution:[h.Distribution,\"uniform\"]})))},\n", " function _(t,s,_,r,e){r();const i=t(9),o=t(325);class n extends o.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(tthis._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=(0,i.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=(0,d.find_last_index)(this._x_sorted,(e=>t>=e));break;case\"before\":e=(0,d.find_index)(this._x_sorted,(e=>t<=e));break;case\"center\":{const s=(0,d.map)(this._x_sorted,(e=>Math.abs(e-t))),r=(0,d.min)(s);e=(0,d.find_index)(s,(t=>r===t));break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}s.StepInterpolator=h,_=h,h.__name__=\"StepInterpolator\",_.define((()=>({mode:[n.StepMode,\"after\"]})))},\n", " function _(p,o,t,a,n){a(),n(\"MapOptions\",p(330).MapOptions),n(\"GMapOptions\",p(330).GMapOptions),n(\"GMapPlot\",p(330).GMapPlot),n(\"Plot\",p(331).Plot)},\n", " function _(e,t,n,o,a){var s,p,_;o();const i=e(331),r=e(53),l=e(58),c=e(336);a(\"GMapPlotView\",c.GMapPlotView);class d extends r.Model{constructor(e){super(e)}}n.MapOptions=d,s=d,d.__name__=\"MapOptions\",s.define((({Int:e,Number:t})=>({lat:[t],lng:[t],zoom:[e,12]})));class u extends d{constructor(e){super(e)}}n.GMapOptions=u,p=u,u.__name__=\"GMapOptions\",p.define((({Boolean:e,Int:t,String:n})=>({map_type:[n,\"roadmap\"],scale_control:[e,!1],styles:[n],tilt:[t,45]})));class M extends i.Plot{constructor(e){super(e),this.use_map=!0}}n.GMapPlot=M,_=M,M.__name__=\"GMapPlot\",_.prototype.default_view=c.GMapPlotView,_.define((({String:e,Ref:t})=>({map_options:[t(u)],api_key:[e],api_version:[e,\"3.43\"]}))),_.override({x_range:()=>new l.Range1d,y_range:()=>new l.Range1d})},\n", " function _(e,t,r,n,i){n();const o=e(1);var a;const s=(0,o.__importStar)(e(48)),l=(0,o.__importStar)(e(18)),_=e(15),c=e(20),h=e(9),d=e(13),u=e(8),g=e(309),p=e(128),f=e(306),b=e(40),w=e(118),y=e(59),m=e(221),x=e(57),v=e(55),A=e(75),S=e(41),R=e(176),D=e(175),L=e(63),P=e(332);i(\"PlotView\",P.PlotView);class k extends g.LayoutDOM{constructor(e){super(e),this.use_map=!1}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new _.Signal0(this,\"reset\");for(const e of(0,d.values)(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of(0,d.values)(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{(0,h.remove_by)(t,(t=>t==e))};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}get data_renderers(){return this.renderers.filter((e=>e instanceof R.DataRenderer))}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new A.ColumnDataSource,r={}){const n=new D.GlyphRenderer(Object.assign(Object.assign({},r),{data_source:t,glyph:e}));return this.add_renderers(n),n}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return(0,h.concat)([e,t,r,n])}}r.Plot=k,a=k,k.__name__=\"Plot\",a.prototype.default_view=P.PlotView,a.mixins([[\"outline_\",s.Line],[\"background_\",s.Fill],[\"border_\",s.Fill]]),a.define((({Boolean:e,Number:t,String:r,Array:n,Dict:i,Or:o,Ref:a,Null:s,Nullable:_})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[_(c.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[l.Alias(\"width\")],plot_height:[l.Alias(\"height\")],frame_width:[_(t),null],frame_height:[_(t),null],title:[o(a(w.Title),r,s),\"\",{convert:e=>(0,u.isString)(e)?new w.Title({text:e}):e}],title_location:[_(c.Location),\"above\"],above:[n(o(a(b.Annotation),a(p.Axis))),[]],below:[n(o(a(b.Annotation),a(p.Axis))),[]],left:[n(o(a(b.Annotation),a(p.Axis))),[]],right:[n(o(a(b.Annotation),a(p.Axis))),[]],center:[n(o(a(b.Annotation),a(f.Grid))),[]],renderers:[n(a(S.Renderer)),[]],x_range:[a(x.Range),()=>new L.DataRange1d],y_range:[a(x.Range),()=>new L.DataRange1d],x_scale:[a(v.Scale),()=>new y.LinearScale],y_scale:[a(v.Scale),()=>new y.LinearScale],extra_x_ranges:[i(a(x.Range)),{}],extra_y_ranges:[i(a(x.Range)),{}],extra_x_scales:[i(a(v.Scale)),{}],extra_y_scales:[i(a(v.Scale)),{}],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[_(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[c.OutputBackend,\"canvas\"],min_border:[_(t),5],min_border_top:[_(t),null],min_border_left:[_(t),null],min_border_bottom:[_(t),null],min_border_right:[_(t),null],inner_width:[t,0],inner_height:[t,0],outer_width:[t,0],outer_height:[t,0],match_aspect:[e,!1],aspect_scale:[t,1],reset_policy:[c.ResetPolicy,\"standard\"]}))),a.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})},\n", " function _(e,t,i,s,a){s();const n=e(1),o=e(126),l=e(249),r=e(309),_=e(40),h=e(118),d=e(128),u=e(220),c=e(251),p=e(113),v=e(45),g=e(19),b=e(251),m=e(333),y=e(8),w=e(9),f=e(235),x=e(208),z=e(211),k=e(209),q=e(123),M=e(65),R=e(334),V=e(335),S=e(28);class O extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0,this._needs_notify=!1}get canvas(){return this.canvas_view}get state(){return this._state_manager}set invalidate_dataranges(e){this._range_manager.invalidate_dataranges=e}renderer_view(e){const t=this.renderer_views.get(e);if(null==t)for(const[,t]of this.renderer_views){const i=t.renderer_view(e);if(null!=i)return i}return t}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(e=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||e||this.request_paint(\"everything\")}notify_finished_after_paint(){this._needs_notify=!0}request_render(){this.request_paint(\"everything\")}request_paint(e){this.invalidate_painters(e),this.schedule_paint()}invalidate_painters(e){if(\"everything\"==e)this._invalidate_all=!0;else if((0,y.isArray)(e))for(const t of e)this._invalidated_painters.add(t);else this._invalidated_painters.add(e)}schedule_paint(){if(!this.is_paused){const e=this.throttled_paint();this._ready=this._ready.then((()=>e))}}request_layout(){this._needs_layout=!0,this.request_paint(\"everything\")}reset(){\"standard\"==this.model.reset_policy&&(this.state.clear(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){(0,p.remove_views)(this.renderer_views),(0,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.lod_started=!1,this.visuals=new v.Visuals(this),this._initial_state={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.renderer_views=new Map,this.tool_views=new Map,this.frame=new o.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.model.extra_x_scales,this.model.extra_y_scales),this._range_manager=new R.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=(0,m.throttle)((()=>this.repaint()),1e3/60);const{title_location:e,title:t}=this.model;null!=e&&null!=t&&(this._title=t instanceof h.Title?t:new h.Title({text:t}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new u.ToolbarPanel({toolbar:s}),s.toolbar_location=i)}async lazy_initialize(){await super.lazy_initialize();const{hidpi:e,output_backend:t}=this.model,i=new l.Canvas({hidpi:e,output_backend:t});this.canvas_view=await(0,p.build_view)(i,{parent:this}),this.canvas_view.plot_views=[this],await this.build_renderer_views(),await this.build_tool_views(),this._range_manager.update_dataranges(),this.unpause(!0),g.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(){var e,t,i,s,a;this.layout=new z.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=(0,w.copy)(this.model.above),o=(0,w.copy)(this.model.below),l=(0,w.copy)(this.model.left),r=(0,w.copy)(this.model.right),d=e=>{switch(e){case\"above\":return n;case\"below\":return o;case\"left\":return l;case\"right\":return r}},{title_location:c,title:p}=this.model;null!=c&&null!=p&&d(c).push(this._title);const{toolbar_location:v,toolbar:g}=this.model;if(null!=v&&null!=g){const e=d(v);let t=!0;if(this.model.toolbar_sticky)for(let i=0;i{var i;const s=this.renderer_view(t);return s.panel=new q.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},m=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if((0,y.isArray)(a)){const t=a.map((t=>{const s=b(e,t);if(t instanceof u.ToolbarPanel){const e=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[e]:\"min\"}))}return s}));let n;i?(n=new k.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new k.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(b(e,a));return s},f=null!==(e=this.model.min_border)&&void 0!==e?e:0;this.layout.min_border={left:null!==(t=this.model.min_border_left)&&void 0!==t?t:f,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:f,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:f,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:f};const M=new x.NodeLayout,R=new x.VStack,V=new x.VStack,S=new x.HStack,O=new x.HStack;M.absolute=!0,R.absolute=!0,V.absolute=!0,S.absolute=!0,O.absolute=!0,M.children=this.model.center.filter((e=>e instanceof _.Annotation)).map((e=>{var t;const i=this.renderer_view(e);return null===(t=i.update_layout)||void 0===t||t.call(i),i.layout})).filter((e=>null!=e));const{frame_width:P,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=P?{width_policy:\"fixed\",width:P}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),R.children=(0,w.reversed)(m(\"above\",n)),V.children=m(\"below\",o),S.children=(0,w.reversed)(m(\"left\",l)),O.children=m(\"right\",r),R.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),S.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.center_panel=M,this.layout.top_panel=R,this.layout.bottom_panel=V,this.layout.left_panel=S,this.layout.right_panel=O}get axis_views(){const e=[];for(const[,t]of this.renderer_views)t instanceof d.AxisView&&e.push(t);return e}set_toolbar_visibility(e){for(const t of this.visibility_callbacks)t(e)}update_range(e,t){this.pause(),this._range_manager.update(e,t),this.unpause()}reset_range(){this.update_range(null),this.trigger_ranges_update_event()}trigger_ranges_update_event(){const{x_range:e,y_range:t}=this.model;this.model.trigger_event(new b.RangesUpdate(e.start,e.end,t.start,t.end))}get_selection(){const e=new Map;for(const t of this.model.data_renderers){const{selected:i}=t.selection_manager.source;e.set(t,i)}return e}update_selection(e){for(const t of this.model.data_renderers){const i=t.selection_manager.source;if(null!=e){const s=e.get(t);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_invalidate_layout(){(()=>{var e;for(const t of this.model.side_panels){const i=this.renderer_views.get(t);if(null===(e=i.layout)||void 0===e?void 0:e.has_size_changed())return this.invalidate_painters(i),!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map((e=>this.renderer_views.get(e)))}*_compute_renderers(){const{above:e,below:t,left:i,right:s,center:a,renderers:n}=this.model;yield*n,yield*e,yield*t,yield*i,yield*s,yield*a,null!=this._title&&(yield this._title),null!=this._toolbar&&(yield this._toolbar);for(const e of this.model.toolbar.tools)null!=e.overlay&&(yield e.overlay),yield*e.synthetic_renderers}async build_renderer_views(){this.computed_renderers=[...this._compute_renderers()],await(0,p.build_views)(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await(0,p.build_views)(this.tool_views,e,{parent:this})).map((e=>this.canvas_view.ui_event_bus.register_tool(e)))}connect_signals(){super.connect_signals();const{x_ranges:e,y_ranges:t}=this.frame;for(const[,t]of e)this.connect(t.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));for(const[,e]of t)this.connect(e.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));const{above:i,below:s,left:a,right:n,center:o,renderers:l}=this.model.properties;this.on_change([i,s,a,n,o,l],(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(\"everything\"))),this.connect(this.model.reset,(()=>this.reset()))}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,e]of this.renderer_views)if(!e.has_finished())return!1;return!0}after_layout(){var e;super.after_layout();for(const[,t]of this.renderer_views)t instanceof _.AnnotationView&&(null===(e=t.after_layout)||void 0===e||e.call(t));if(this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this._range_manager.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:e,height:t}=this.layout.bbox;this.canvas_view.resize(e,t),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}const{inner_bbox:t}=this.layout;this._inner_bbox.equals(t)||(this._inner_bbox=t,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){this.is_paused||(this.model.visible&&(g.logger.trace(`${this.toString()}.paint()`),this._actual_paint()),this._needs_notify&&(this._needs_notify=!1,this.notify_finished()))}_actual_paint(){var e;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.request_paint(\"everything\")}),this.model.lod_timeout):t.interactive_stop()}this._range_manager.invalidate_dataranges&&(this._range_manager.update_dataranges(),this._invalidate_layout());let i=!1,s=!1;if(this._invalidate_all)i=!0,s=!0;else for(const e of this._invalidated_painters){const{level:t}=e.model;if(\"overlay\"!=t?i=!0:s=!0,i&&s)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const a=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:o}=this.canvas_view;i&&(n.prepare(),this.canvas_view.prepare_webgl(a),this._map_hook(n.ctx,a),this._paint_empty(n.ctx,a),this._paint_outline(n.ctx,a),this._paint_levels(n.ctx,\"image\",a,!0),this._paint_levels(n.ctx,\"underlay\",a,!0),this._paint_levels(n.ctx,\"glyph\",a,!0),this._paint_levels(n.ctx,\"guide\",a,!1),this._paint_levels(n.ctx,\"annotation\",a,!1),n.finish()),(s||S.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),S.settings.wireframe&&this._paint_layout(o.ctx,this.layout),o.finish()),null==this._initial_state.range&&(this._initial_state.range=null!==(e=this._range_manager.compute_initial())&&void 0!==e?e:void 0),this._needs_paint=!1}_paint_levels(e,t,i,s){for(const a of this.computed_renderers){if(a.level!=t)continue;const n=this.renderer_views.get(a);e.save(),(s||n.needs_clip)&&(e.beginPath(),e.rect(...i),e.clip()),n.render(),e.restore(),n.has_webgl&&n.needs_webgl_blit&&this.canvas_view.blit_webgl(e)}}_paint_layout(e,t){const{x:i,y:s,width:a,height:n}=t.bbox;e.strokeStyle=\"blue\",e.strokeRect(i,s,a,n);for(const a of t)e.save(),t.absolute||e.translate(i,s),this._paint_layout(e,a),e.restore()}_map_hook(e,t){}_paint_empty(e,t){const[i,s,a,n]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,_]=t;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(e),e.fillRect(i,s,a,n),e.clearRect(o,l,r,_)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fillRect(o,l,r,_))}_paint_outline(e,t){if(this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[i,s,a,n]=t;i+a==this.layout.bbox.width&&(a-=1),s+n==this.layout.bbox.height&&(n-=1),e.strokeRect(i,s,a,n),e.restore()}}to_blob(){return this.canvas_view.to_blob()}export(e,t=!0){const i=\"png\"==e?\"canvas\":\"svg\",s=new f.CanvasLayer(i,t),{width:a,height:n}=this.layout.bbox;s.resize(a,n);const{canvas:o}=this.canvas_view.compose();return s.ctx.drawImage(o,0,0),s}serializable_state(){const e=super.serializable_state(),{children:t}=e,i=(0,n.__rest)(e,[\"children\"]),s=this.get_renderer_views().map((e=>e.serializable_state())).filter((e=>null!=e.bbox));return Object.assign(Object.assign({},i),{children:[...null!=t?t:[],...s]})}}i.PlotView=O,O.__name__=\"PlotView\"},\n", " function _(t,n,e,o,u){o(),e.throttle=function(t,n){let e=null,o=0,u=!1;return function(){return new Promise(((r,i)=>{const l=function(){o=Date.now(),e=null,u=!1;try{t(),r()}catch(t){i(t)}},a=Date.now(),c=n-(a-o);c<=0&&!u?(null!=e&&clearTimeout(e),u=!0,requestAnimationFrame(l)):e||u?r():e=setTimeout((()=>requestAnimationFrame(l)),c)}))}}},\n", " function _(t,n,e,a,s){a();const o=t(63),r=t(19);class l{constructor(t){this.parent=t,this.invalidate_dataranges=!0}get frame(){return this.parent.frame}update(t,n){const{x_ranges:e,y_ranges:a}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of a)t.reset();this.update_dataranges()}else{const s=[];for(const[n,a]of e)s.push([a,t.xrs.get(n)]);for(const[n,e]of a)s.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(s),this._update_ranges_individually(s,n)}}reset(){this.update(null)}_update_dataranges(t){const n=new Map,e=new Map;let a=!1;for(const[,n]of t.x_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const[,n]of t.y_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const t of this.parent.model.data_renderers){const s=this.parent.renderer_view(t);if(null==s)continue;const o=s.glyph_view.bounds();if(null!=o&&n.set(t,o),a){const n=s.glyph_view.log_bounds();null!=n&&e.set(t,n)}}let s=!1,l=!1;const i=t.x_target.span,d=t.y_target.span;let u;!1!==this.parent.model.match_aspect&&0!=i&&0!=d&&(u=1/this.parent.model.aspect_scale*(i/d));for(const[,a]of t.x_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,0,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}for(const[,a]of t.y_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,1,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}if(s&&l){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,n]of t.x_ranges)n.bounds=null;for(const[,n]of t.y_ranges)n.bounds=null}}update_dataranges(){this._update_dataranges(this.frame);for(const t of this.parent.model.renderers){const{coordinates:n}=t;null!=n&&this._update_dataranges(n)}this.invalidate_dataranges=!1}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,a=new Map,s=new Map;for(const[e,s]of n){const{start:n,end:o}=s;if(null==n||null==o||isNaN(n+o)){t=!1;break}a.set(e,{start:n,end:o})}if(t)for(const[n,a]of e){const{start:e,end:o}=a;if(null==e||null==o||isNaN(e+o)){t=!1;break}s.set(n,{start:e,end:o})}return t?{xrs:a,yrs:s}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,a]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,a));if(n<1)for(const[e,a]of t)a.start=n*a.start+(1-n)*e.start,a.end=n*a.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),a=!!(null==n?void 0:n.scrolling);let s=!1;for(const[n,o]of t){if(!a){const t=this._get_weight_to_constrain_interval(n,o);t<1&&(o.start=t*o.start+(1-t)*n.start,o.end=t*o.end+(1-t)*n.end)}if(null!=n.bounds&&\"auto\"!=n.bounds){const[t,r]=n.bounds,l=Math.abs(o.end-o.start);n.is_reversed?(null!=t&&t>=o.end&&(s=!0,o.end=t,(e||a)&&(o.start=t+l)),null!=r&&r<=o.start&&(s=!0,o.start=r,(e||a)&&(o.end=r-l))):(null!=t&&t>=o.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r<=o.end&&(s=!0,o.end=r,(e||a)&&(o.start=r-l)))}}if(!(a&&s&&(null==n?void 0:n.maintain_focus)))for(const[n,e]of t)n.have_updated_interactively=!0,n.start==e.start&&n.end==e.end||n.setv(e)}_get_weight_to_constrain_interval(t,n){const{min_interval:e}=t;let{max_interval:a}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[n,e]=t.bounds;if(null!=n&&null!=e){const t=Math.abs(e-n);a=null!=a?Math.min(a,t):t}}let s=1;if(null!=e||null!=a){const o=Math.abs(t.end-t.start),r=Math.abs(n.end-n.start);null!=e&&e>0&&r0&&r>a&&(s=(a-o)/(r-o)),s=Math.max(0,Math.min(1,s))}return s}}e.RangeManager=l,l.__name__=\"RangeManager\"},\n", " function _(t,i,s,e,n){e();const h=t(15);class a{constructor(t,i){this.parent=t,this.initial_state=i,this.changed=new h.Signal0(this.parent,\"state_changed\"),this.history=[],this.index=-1}_do_state_change(t){const i=null!=this.history[t]?this.history[t].state:this.initial_state;return null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection),i}push(t,i){const{history:s,index:e}=this,n=null!=s[e]?s[e].state:{},h=Object.assign(Object.assign(Object.assign({},this.initial_state),n),i);this.history=this.history.slice(0,this.index+1),this.history.push({type:t,state:h}),this.index=this.history.length-1,this.changed.emit()}clear(){this.history=[],this.index=-1,this.changed.emit()}undo(){if(this.can_undo){this.index-=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}redo(){if(this.can_redo){this.index+=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}get can_undo(){return this.index>=0}get can_redo(){return this.indexm.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${s(e)}&key=${s(t)}&callback=_bokeh_gmaps_callback`,document.body.appendChild(o)}(t,e)}m.connect((()=>this.request_paint(\"everything\")))}this.unpause()}remove(){(0,p.remove)(this.map_el),super.remove()}update_range(t,e){var s,o;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,e);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(null!==(s=t.sdx)&&void 0!==s?s:0,null!==(o=t.sdy)&&void 0!==o?o:0),super.update_range(t,e);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,e);const s=t.factor<0?-1:1,o=this.map.getZoom();if(null!=o){const t=o+s;if(t>=2){this.map.setZoom(t);const[e,s]=this._get_projected_bounds();s-e<0&&this.map.setZoom(o)}}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=(0,p.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,o]=this._get_latlon_bounds(),[i,a]=l.wgs84_mercator.compute(t,s),[n,p]=l.wgs84_mercator.compute(e,o);return[i,n,a,p]}_set_bokeh_ranges(){const[t,e,s,o]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:o})}_update_center(t){var e;const s=null===(e=this.map.getCenter())||void 0===e?void 0:e.toJSON();null!=s&&(s[t]=this.model.map_options[t],this.map.setCenter(s),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,o,i]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${o}px`,this.map_el.style.height=`${i}px`}}_paint_empty(t,e){const s=this.layout.bbox.width,o=this.layout.bbox.height,[i,a,n,p]=e;t.clearRect(0,0,s,o),t.beginPath(),t.moveTo(0,0),t.lineTo(0,o),t.lineTo(s,o),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(i,a),t.lineTo(i+n,a),t.lineTo(i+n,a+p),t.lineTo(i,a+p),t.lineTo(i,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=(0,_.color2css)(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n", " function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(132),n)},\n", " function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(175).GlyphRenderer),R(\"GraphRenderer\",e(339).GraphRenderer),R(\"GuideRenderer\",e(129).GuideRenderer);var G=e(41);R(\"Renderer\",G.Renderer),R(\"RendererGroup\",G.RendererGroup)},\n", " function _(e,r,i,n,t){var d;n();const o=e(176),s=e(175),a=e(303),l=e(302),p=e(113),_=e(178),h=e(283),y=e(286);class c extends o.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize(),this.apply_coordinates();const{parent:e}=this,{edge_renderer:r,node_renderer:i}=this.model;this.edge_view=await(0,p.build_view)(r,{parent:e}),this.node_view=await(0,p.build_view)(i,{parent:e})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.apply_coordinates(),this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}apply_coordinates(){const{edge_renderer:e,node_renderer:r}=this.model;if(!(e.glyph instanceof h.MultiLine||e.glyph instanceof y.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(r.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);const i=this.model.layout_provider.edge_coordinates,n=this.model.layout_provider.node_coordinates;e.glyph.properties.xs.internal=!0,e.glyph.properties.ys.internal=!0,r.glyph.properties.x.internal=!0,r.glyph.properties.y.internal=!0,e.glyph.xs={expr:i.x},e.glyph.ys={expr:i.y},r.glyph.x={expr:n.x},r.glyph.y={expr:n.y},this.model.edge_renderer=e,this.model.node_renderer=r}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}renderer_view(e){if(e instanceof s.GlyphRenderer){if(e==this.edge_view.model)return this.edge_view;if(e==this.node_view.model)return this.node_view}return super.renderer_view(e)}}i.GraphRendererView=c,c.__name__=\"GraphRendererView\";class g extends o.DataRenderer{constructor(e){super(e)}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}i.GraphRenderer=g,d=g,g.__name__=\"GraphRenderer\",d.prototype.default_view=c,d.define((({Ref:e})=>({layout_provider:[e(a.LayoutProvider)],node_renderer:[e(s.GlyphRenderer)],edge_renderer:[e(s.GlyphRenderer)],selection_policy:[e(l.GraphHitTestPolicy),()=>new l.NodesOnly],inspection_policy:[e(l.GraphHitTestPolicy),()=>new l.NodesOnly]})))},\n", " function _(e,t,n,o,c){o();(0,e(1).__exportStar)(e(74),n),c(\"Selection\",e(72).Selection)},\n", " function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(75).ColumnDataSource),r(\"ColumnarDataSource\",a(70).ColumnarDataSource),r(\"CDSView\",a(190).CDSView),r(\"DataSource\",a(71).DataSource),r(\"GeoJSONDataSource\",a(345).GeoJSONDataSource),r(\"WebDataSource\",a(343).WebDataSource)},\n", " function _(e,t,i,a,s){a();const n=e(343);class r extends n.WebDataSource{constructor(e){super(e),this.initialized=!1}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{var t;this.load_data(JSON.parse(e.data),this.mode,null!==(t=this.max_size)&&void 0!==t?t:void 0)}}}}i.ServerSentDataSource=r,r.__name__=\"ServerSentDataSource\"},\n", " function _(e,t,a,n,r){var s;n();const l=e(75),o=e(20);class c extends l.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}get_length(){var e;return null!==(e=super.get_length())&&void 0!==e?e:0}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:n}=this;let r;switch(r=null!=n?n.execute(this,{response:e}):e,t){case\"replace\":this.data=r;break;case\"append\":{const e=this.data;for(const t of this.columns()){const n=Array.from(e[t]),s=Array.from(r[t]),l=n.concat(s);r[t]=null!=a?l.slice(-a):l}this.data=r;break}}}}a.WebDataSource=c,s=c,c.__name__=\"WebDataSource\",s.define((({Any:e,Int:t,String:a,Nullable:n})=>({max_size:[n(t),null],mode:[o.UpdateMode,\"replace\"],adapter:[n(e),null],data_url:[a]})))},\n", " function _(t,e,i,s,a){var n;s();const r=t(343),o=t(20),l=t(19),d=t(13);class h extends r.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),null!=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=null,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",(()=>this.do_load(s,t,null!=e?e:void 0))),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,s]of(0,d.entries)(e))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){l.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=h,n=h,h.__name__=\"AjaxDataSource\",n.define((({Boolean:t,Int:e,String:i,Dict:s,Nullable:a})=>({polling_interval:[a(e),null],content_type:[i,\"application/json\"],http_headers:[s(i),{}],method:[o.HTTPMethod,\"POST\"],if_modified:[t,!1]})))},\n", " function _(e,t,o,r,n){var s;r();const a=e(70),i=e(19),l=e(9),c=e(13);function _(e){return null!=e?e:NaN}const{hasOwnProperty:g}=Object.prototype;class u extends a.ColumnarDataSource{constructor(e){super(e)}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(0,l.range)(0,e).map((e=>[]))}_get_new_nan_array(e){return(0,l.range)(0,e).map((e=>NaN))}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of(0,c.entries)(s))g.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=_(n)}_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]=_(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const s=n.reduce(r);for(let e=0;e({geojson:[e]}))),s.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))},\n", " function _(e,r,T,o,S){o(),S(\"BBoxTileSource\",e(347).BBoxTileSource),S(\"MercatorTileSource\",e(348).MercatorTileSource),S(\"QUADKEYTileSource\",e(351).QUADKEYTileSource),S(\"TileRenderer\",e(352).TileRenderer),S(\"TileSource\",e(349).TileSource),S(\"TMSTileSource\",e(355).TMSTileSource),S(\"WMTSTileSource\",e(353).WMTSTileSource)},\n", " function _(e,t,r,o,l){var i;o();const n=e(348);class s extends n.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let l,i,n,s;return this.use_latlon?[i,s,l,n]=this.get_tile_geographic_bounds(e,t,r):[i,s,l,n]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",i.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",l.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=s,i=s,s.__name__=\"BBoxTileSource\",i.define((({Boolean:e})=>({use_latlon:[e,!1]})))},\n", " function _(t,e,i,_,s){var r;_();const o=t(349),n=t(9),l=t(350);class u extends o.TileSource{constructor(t){super(t)}initialize(){super.initialize(),this._resolutions=(0,n.range)(this.min_zoom,this.max_zoom+1).map((t=>this.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>=2**i))&&!(e<0||e>=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()/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,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,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);i=0===i?i:i-1;return[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<=u;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,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=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 _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*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/2**i)}}i.MercatorTileSource=u,r=u,u.__name__=\"MercatorTileSource\",r.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),r.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},\n", " function _(e,t,r,i,n){var l;i();const a=e(53),s=e(13);class c extends a.Model{constructor(e){super(e)}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,i]of(0,s.entries)(t))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,l]=t,a=(n-r)/2+r,s=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((a-e[0])**2+(s-e[1])**2)-Math.sqrt((a-t[0])**2+(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=c,l=c,c.__name__=\"TileSource\",l.define((({Number:e,String:t,Dict:r,Nullable:i})=>({url:[t,\"\"],tile_size:[e,256],max_zoom:[e,30],min_zoom:[e,0],extra_url_vars:[r(t),{}],attribution:[t,\"\"],x_origin_offset:[e],y_origin_offset:[e],initial_resolution:[i(e),null]})))},\n", " function _(t,e,r,n,o){n();const c=t(78);function _(t,e){return c.wgs84_mercator.compute(t,e)}function g(t,e){return c.wgs84_mercator.invert(t,e)}r.geographic_to_meters=_,r.meters_to_geographic=g,r.geographic_extent_to_meters=function(t){const[e,r,n,o]=t,[c,g]=_(e,r),[i,u]=_(n,o);return[c,g,i,u]},r.meters_extent_to_geographic=function(t){const[e,r,n,o]=t,[c,_]=g(e,r),[i,u]=g(n,o);return[c,_,i,u]}},\n", " function _(e,t,r,s,_){s();const o=e(348);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const s=this.string_lookup_replace(this.url,this.extra_url_vars),[_,o,c]=this.tms_to_wmts(e,t,r),i=this.tile_xyz_to_quadkey(_,o,c);return s.replace(\"{Q}\",i)}}r.QUADKEYTileSource=c,c.__name__=\"QUADKEYTileSource\"},\n", " function _(t,e,i,s,_){s();const n=t(1);var a;const o=t(349),r=t(353),h=t(41),l=t(58),d=t(43),m=t(136),c=t(9),u=t(8),p=(0,n.__importStar)(t(354));class g extends h.RendererView{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()))}remove(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el),super.remove()}styles(){return[...super.styles(),p.default]}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.layer.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&&(0,d.removeElement)(this.attribution_el);const{attribution:t}=this.model.tile_source;if((0,u.isString)(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=(0,d.div)({class:p.tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"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=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof l.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof l.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const n=this.model.tile_source.tile_xyz_to_quadkey(t,e,i),a=this.model.tile_source.tile_xyz_to_key(t,e,i);if(this.model.tile_source.tiles.has(a))return;const[o,r,h]=this.model.tile_source.normalize_xyz(t,e,i),l=this.model.tile_source.get_image_url(o,r,h),d={img:void 0,tile_coords:[t,e,i],normalized_coords:[o,r,h],quadkey:n,cache_key:a,bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]};this.model.tile_source.tiles.set(a,d),this._tiles.push(d),new m.ImageLoader(l,{loaded:t=>{Object.assign(d,{img:t,loaded:!0}),_?(d.finished=!0,this.notify_finished()):this.request_render()},failed(){d.finished=!0}})}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);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.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0==this._tiles.length)return!1;for(const t of this._tiles)if(!t.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(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,o=t,r=i,h=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,o,r,n,a),this.map_canvas.setImageSmoothingEnabled(h),e.finished=!0}}_set_rect(){const t=this.plot_model.outline_line_width,e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);ei&&(s=this.extent,o=i,r=!0),r&&(this.x_range.setv({start:s[0],end:s[2]}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const h=t.get_tiles_by_extent(s,o),l=[],d=[],m=[],u=[];for(const e of h){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),o=t.tiles.get(a);if(null!=o&&o.loaded)d.push(a);else if(this.model.render_parents){const[e,a,o]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,o),h=t.tiles.get(r);if(null!=h&&h.loaded&&!(0,c.includes)(m,r)&&m.push(r),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&u.push(e)}}}null==o&&l.push(e)}this._render_tiles(m),this._render_tiles(u),this._render_tiles(d),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout((()=>this._fetch_tiles(l)),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class b extends h.Renderer{constructor(t){super(t)}}i.TileRenderer=b,a=b,b.__name__=\"TileRenderer\",a.prototype.default_view=g,a.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(o.TileSource),()=>new r.WMTSTileSource],render_parents:[t,!0]}))),a.override({level:\"image\"})},\n", " function _(t,e,r,o,s){o();const c=t(348);class i extends c.MercatorTileSource{constructor(t){super(t)}get_image_url(t,e,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,i]=this.tms_to_wmts(t,e,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",i.toString())}}r.WMTSTileSource=i,i.__name__=\"WMTSTileSource\"},\n", " function _(t,o,i,b,r){b(),i.root=\"bk-root\",i.tile_attribution=\"bk-tile-attribution\",i.default=\".bk-root .bk-tile-attribution a{color:black;}\"},\n", " function _(e,r,t,c,o){c();const i=e(348);class l extends i.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=l,l.__name__=\"TMSTileSource\"},\n", " function _(e,t,u,a,r){a(),r(\"CanvasTexture\",e(357).CanvasTexture),r(\"ImageURLTexture\",e(359).ImageURLTexture),r(\"Texture\",e(358).Texture)},\n", " function _(t,e,n,c,s){var r;c();const o=t(358),a=t(34);class u extends o.Texture{constructor(t){super(t)}get func(){const t=(0,a.use_strict)(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){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),c}}n.CanvasTexture=u,r=u,u.__name__=\"CanvasTexture\",r.define((({String:t})=>({code:[t]})))},\n", " function _(e,t,n,r,o){var i;r();const s=e(53),u=e(20);class c extends s.Model{constructor(e){super(e)}}n.Texture=c,i=c,c.__name__=\"Texture\",i.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))},\n", " function _(e,t,i,r,n){var a;r();const s=e(358),o=e(136);class u extends s.Texture{constructor(e){super(e)}initialize(){super.initialize(),this._loader=new o.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,a=u,u.__name__=\"ImageURLTexture\",a.define((({String:e})=>({url:[e]})))},\n", " function _(o,l,T,e,t){e(),t(\"ActionTool\",o(238).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(239).HelpTool),t(\"RedoTool\",o(362).RedoTool),t(\"ResetTool\",o(363).ResetTool),t(\"SaveTool\",o(364).SaveTool),t(\"UndoTool\",o(365).UndoTool),t(\"ZoomInTool\",o(366).ZoomInTool),t(\"ZoomOutTool\",o(369).ZoomOutTool),t(\"ButtonTool\",o(224).ButtonTool),t(\"EditTool\",o(370).EditTool),t(\"BoxEditTool\",o(371).BoxEditTool),t(\"FreehandDrawTool\",o(372).FreehandDrawTool),t(\"PointDrawTool\",o(373).PointDrawTool),t(\"PolyDrawTool\",o(374).PolyDrawTool),t(\"PolyTool\",o(375).PolyTool),t(\"PolyEditTool\",o(376).PolyEditTool),t(\"BoxSelectTool\",o(377).BoxSelectTool),t(\"BoxZoomTool\",o(379).BoxZoomTool),t(\"GestureTool\",o(223).GestureTool),t(\"LassoSelectTool\",o(380).LassoSelectTool),t(\"LineEditTool\",o(382).LineEditTool),t(\"PanTool\",o(384).PanTool),t(\"PolySelectTool\",o(381).PolySelectTool),t(\"RangeTool\",o(385).RangeTool),t(\"SelectTool\",o(378).SelectTool),t(\"TapTool\",o(386).TapTool),t(\"WheelPanTool\",o(387).WheelPanTool),t(\"WheelZoomTool\",o(388).WheelZoomTool),t(\"CrosshairTool\",o(389).CrosshairTool),t(\"CustomJSHover\",o(390).CustomJSHover),t(\"HoverTool\",o(391).HoverTool),t(\"InspectTool\",o(232).InspectTool),t(\"Tool\",o(222).Tool),t(\"ToolProxy\",o(394).ToolProxy),t(\"Toolbar\",o(221).Toolbar),t(\"ToolbarBase\",o(233).ToolbarBase),t(\"ProxyToolbar\",o(395).ProxyToolbar),t(\"ToolbarBox\",o(395).ToolbarBox)},\n", " function _(t,o,e,s,n){var c;s();const i=t(238);class u extends i.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}e.CustomActionButtonView=u,u.__name__=\"CustomActionButtonView\";class l extends i.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}e.CustomActionView=l,l.__name__=\"CustomActionView\";class a extends i.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=u}}e.CustomAction=a,c=a,a.__name__=\"CustomAction\",c.prototype.default_view=l,c.define((({Any:t,String:o,Nullable:e})=>({callback:[e(t)],icon:[o]}))),c.override({description:\"Perform a Custom Action\"})},\n", " function _(e,o,t,i,s){var n;i();const l=e(238),_=e(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){const e=this.plot_view.state.redo();null!=(null==e?void 0:e.range)&&this.plot_view.trigger_ranges_update_event()}}t.RedoToolView=d,d.__name__=\"RedoToolView\";class a extends l.ActionTool{constructor(e){super(e),this.tool_name=\"Redo\",this.icon=_.tool_icon_redo}}t.RedoTool=a,n=a,a.__name__=\"RedoTool\",n.prototype.default_view=d,n.override({disabled:!0}),n.register_alias(\"redo\",(()=>new a))},\n", " function _(e,o,t,s,i){var _;s();const n=e(238),l=e(228);class c extends n.ActionToolView{doit(){this.plot_view.reset()}}t.ResetToolView=c,c.__name__=\"ResetToolView\";class r extends n.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=l.tool_icon_reset}}t.ResetTool=r,_=r,r.__name__=\"ResetTool\",_.prototype.default_view=c,_.register_alias(\"reset\",(()=>new r))},\n", " function _(e,o,t,a,i){var s;a();const c=e(238),n=e(228);class l extends c.ActionToolView{async copy(){const e=await this.plot_view.to_blob(),o=new ClipboardItem({[e.type]:Promise.resolve(e)});await navigator.clipboard.write([o])}async save(e){const o=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(o),t.download=e,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(e=\"save\"){switch(e){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=l,l.__name__=\"SaveToolView\";class r extends c.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=n.tool_icon_save}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=r,s=r,r.__name__=\"SaveTool\",s.prototype.default_view=l,s.register_alias(\"save\",(()=>new r))},\n", " function _(o,e,t,n,i){var s;n();const l=o(238),_=o(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){const o=this.plot_view.state.undo();null!=(null==o?void 0:o.range)&&this.plot_view.trigger_ranges_update_event()}}t.UndoToolView=d,d.__name__=\"UndoToolView\";class a extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=_.tool_icon_undo}}t.UndoTool=a,s=a,a.__name__=\"UndoTool\",s.prototype.default_view=d,s.override({disabled:!0}),s.register_alias(\"undo\",(()=>new a))},\n", " function _(o,n,e,i,s){var t;i();const _=o(367),m=o(228);class a extends _.ZoomBaseToolView{}e.ZoomInToolView=a,a.__name__=\"ZoomInToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=m.tool_icon_zoom_in}}e.ZoomInTool=l,t=l,l.__name__=\"ZoomInTool\",t.prototype.default_view=a,t.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),t.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),t.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))},\n", " function _(o,t,e,i,s){var n;i();const a=o(238),_=o(20),l=o(368);class m extends a.ActionToolView{doit(){var o;const t=this.plot_view.frame,e=this.model.dimensions,i=\"width\"==e||\"both\"==e,s=\"height\"==e||\"both\"==e,n=(0,l.scale_range)(t,this.model.sign*this.model.factor,i,s);this.plot_view.state.push(\"zoom_out\",{range:n}),this.plot_view.update_range(n,{scrolling:!0,maintain_focus:this.model.maintain_focus}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model),this.plot_view.trigger_ranges_update_event()}}e.ZoomBaseToolView=m,m.__name__=\"ZoomBaseToolView\";class h extends a.ActionTool{constructor(o){super(o),this.maintain_focus=!0}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=h,n=h,h.__name__=\"ZoomBaseTool\",n.define((({Percent:o})=>({factor:[o,.1],dimensions:[_.Dimensions,\"both\"]})))},\n", " function _(n,t,o,r,s){r();const c=n(10);function e(n,t,o){const[r,s]=[n.start,n.end],c=null!=o?o:(s+r)/2;return[r-(r-c)*t,s-(s-c)*t]}function a(n,[t,o]){const r=new Map;for(const[s,c]of n){const[n,e]=c.r_invert(t,o);r.set(s,{start:n,end:e})}return r}o.scale_highlow=e,o.get_info=a,o.scale_range=function(n,t,o=!0,r=!0,s){t=(0,c.clamp)(t,-.9,.9);const l=o?t:0,[u,i]=e(n.bbox.h_range,l,null!=s?s.x:void 0),_=a(n.x_scales,[u,i]),f=r?t:0,[g,x]=e(n.bbox.v_range,f,null!=s?s.y:void 0);return{xrs:_,yrs:a(n.y_scales,[g,x]),factor:t}}},\n", " function _(o,e,t,i,s){var n;i();const _=o(367),a=o(228);class m extends _.ZoomBaseToolView{}t.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=a.tool_icon_zoom_out}}t.ZoomOutTool=l,n=l,l.__name__=\"ZoomOutTool\",n.prototype.default_view=m,n.define((({Boolean:o})=>({maintain_focus:[o,!0]}))),n.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),n.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),n.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))},\n", " function _(e,t,s,o,n){var r;o();const i=e(9),c=e(8),a=e(11),_=e(175),l=e(223);class d extends l.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,a.unreachable)():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){if(!this.plot_view.frame.bbox.contains(e,t))return null;const o=this.plot_view.renderer_view(s);if(null==o)return null;return[o.coordinates.x_scale.invert(e),o.coordinates.y_scale.invert(t)]}_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;e({custom_icon:[n(t),null],empty_value:[e],renderers:[s(o(_.GlyphRenderer)),[]]})))},\n", " function _(e,t,s,i,_){var o;i();const n=e(43),a=e(20),d=e(370),l=e(228);class r extends d.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===n.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==n.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_view(n);if(null==a)return;const d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[y,x]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),y&&l.get_array(y).push(c),x&&l.get_array(x).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[y,x,w,v]);else{const e=l.data[y].length-1;y&&(l.data[y][e]=c),x&&(l.data[x][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=r,r.__name__=\"BoxEditToolView\";class h extends d.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=l.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}}s.BoxEditTool=h,o=h,h.__name__=\"BoxEditTool\",o.prototype.default_view=r,o.define((({Int:e})=>({dimensions:[a.Dimensions,\"both\"],num_objects:[e,0]})))},\n", " function _(e,t,a,s,r){var _;s();const d=e(43),o=e(8),n=e(370),i=e(228);class l extends n.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,d]=r,n=s.data_source,i=s.glyph,[l,h]=[i.xs.field,i.ys.field];if(\"new\"==t)this._pop_glyphs(n,this.model.num_objects),l&&n.get_array(l).push([_]),h&&n.get_array(h).push([d]),this._pad_empty_columns(n,[l,h]);else if(\"add\"==t){if(l){const e=n.data[l].length-1;let t=n.get_array(l)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[l][e]=t),t.push(_)}if(h){const e=n.data[h].length-1;let t=n.get_array(h)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[h][e]=t),t.push(d)}}this._emit_cds_changes(n,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===d.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===d.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=l,l.__name__=\"FreehandDrawToolView\";class h extends n.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=i.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}}a.FreehandDrawTool=h,_=h,h.__name__=\"FreehandDrawTool\",_.prototype.default_view=l,_.define((({Int:e})=>({num_objects:[e,0]}))),_.register_alias(\"freehand_draw\",(()=>new h))},\n", " function _(e,t,s,o,a){var i;o();const n=e(43),_=e(370),r=e(228);class d extends _.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],s=this._map_drag(e.sx,e.sy,t);if(null==s)return;const o=t.glyph,a=t.data_source,[i,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(a,this.model.num_objects),i&&a.get_array(i).push(_),n&&a.get_array(n).push(r),this._pad_empty_columns(a,[i,n]),a.change.emit(),a.data=a.data,a.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===n.Keys.Backspace?this._delete_selected(t):e.keyCode==n.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}s.PointDrawToolView=d,d.__name__=\"PointDrawToolView\";class l extends _.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=r.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}}s.PointDrawTool=l,i=l,l.__name__=\"PointDrawTool\",i.prototype.default_view=d,i.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))},\n", " function _(e,t,s,i,a){var r;i();const o=e(43),n=e(8),d=e(375),_=e(228);class h extends d.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],a=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==a)return;const[r,o]=this._snap_to_vertex(e,...a),d=i.data_source,_=i.glyph,[h,l]=[_.xs.field,_.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([r,r]),l&&d.get_array(l).push([o,o]),this._pad_empty_columns(d,[h,l]);else if(\"edit\"==t){if(h){const e=d.data[h][d.data[h].length-1];e[e.length-1]=r}if(l){const e=d.data[l][d.data[l].length-1];e[e.length-1]=o}}else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=r,(0,n.isArray)(t)||(t=Array.from(t),d.data[h][e]=t),t.push(s)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,(0,n.isArray)(t)||(t=Array.from(t),d.data[l][e]=t),t.push(s)}}this._emit_cds_changes(d,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;sthis._show_vertices()))}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=h,h.__name__=\"PolyDrawToolView\";class l extends d.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}}s.PolyDrawTool=l,r=l,l.__name__=\"PolyDrawTool\",r.prototype.default_view=h,r.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))},\n", " function _(e,r,t,s,o){var _;s();const d=e(8),i=e(370);class l extends i.EditToolView{_set_vertices(e,r){const t=this.model.vertex_renderer.glyph,s=this.model.vertex_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&((0,d.isArray)(e)?s.data[o]=e:t.x={value:e}),_&&((0,d.isArray)(r)?s.data[_]=r:t.y={value:r}),this._emit_cds_changes(s,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,r,t){if(this.model.vertex_renderer){const s=this._select_event(e,\"replace\",[this.model.vertex_renderer]),o=this.model.vertex_renderer.data_source,_=this.model.vertex_renderer.glyph,[d,i]=[_.x.field,_.y.field];if(s.length){const e=o.selected.indices[0];d&&(r=o.data[d][e]),i&&(t=o.data[i][e]),o.selection_manager.clear()}}return[r,t]}}t.PolyToolView=l,l.__name__=\"PolyToolView\";class n extends i.EditTool{constructor(e){super(e)}}t.PolyTool=n,_=n,n.__name__=\"PolyTool\",_.define((({AnyRef:e})=>({vertex_renderer:[e()]})))},\n", " function _(e,t,s,r,i){var _;r();const d=e(43),n=e(8),l=e(375),a=e(228);class c extends l.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._cur_index=null}_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,\"replace\",[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.model.renderers[0],s=()=>this._update_vertices(t),r=null==t?void 0:t.data_source,i=this._select_event(e,\"replace\",this.model.renderers);if(!i.length)return this._set_vertices([],[]),this._selected_renderer=null,this._drawing=!1,this._cur_index=null,void(null!=r&&r.disconnect(r.properties.data.change,s));null!=r&&r.connect(r.properties.data.change,s),this._cur_index=i[0].data_source.selected.indices[0],this._update_vertices(i[0])}_update_vertices(e){const t=e.glyph,s=e.data_source,r=this._cur_index,[i,_]=[t.xs.field,t.ys.field];if(this._drawing)return;if(null==r&&(i||_))return;let d,l;i&&null!=r?(d=s.data[i][r],(0,n.isArray)(d)||(s.data[i][r]=d=Array.from(d))):d=t.xs.value,_&&null!=r?(l=s.data[_][r],(0,n.isArray)(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(d,l)}_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=this._select_mode(e);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,\"append\",[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===d.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==d.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=c,c.__name__=\"PolyEditToolView\";class o extends l.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=a.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}}s.PolyEditTool=o,_=o,o.__name__=\"PolyEditTool\",_.prototype.default_view=c},\n", " function _(e,t,o,s,i){var l;s();const n=e(378),_=e(116),c=e(20),r=e(228);class a extends n.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);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.state.push(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=a,a.__name__=\"BoxSelectToolView\";const h=()=>new _.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends n.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=r.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=m,l=m,m.__name__=\"BoxSelectTool\",l.prototype.default_view=a,l.define((({Boolean:e,Ref:t})=>({dimensions:[c.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(_.BoxAnnotation),h],origin:[c.BoxOrigin,\"corner\"]}))),l.register_alias(\"box_select\",(()=>new m)),l.register_alias(\"xbox_select\",(()=>new m({dimensions:\"width\"}))),l.register_alias(\"ybox_select\",(()=>new m({dimensions:\"height\"})))},\n", " function _(e,t,s,n,r){var o;n();const c=e(223),i=e(175),a=e(339),l=e(176),d=e(66),_=e(20),h=e(43),p=e(251),u=e(15),m=e(11);class v extends c.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect((()=>this._clear()))}get computed_renderers(){const{renderers:e,names:t}=this.model,s=this.plot_model.data_renderers;return(0,d.compute_renderers)(e,s,t)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof i.GlyphRenderer)n=s.data_source;else{if(!(s instanceof a.GraphRenderer))continue;n=s.node_renderer.data_source}const r=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...r,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,m.unreachable)():this.model.mode}_keyup(e){e.keyCode==h.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();const e=this.computed_renderers.map((e=>this.plot_view.renderer_view(e)));this.plot_view.request_paint(e)}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,r]of n){const n=r[0].get_selection_manager(),o=[];for(const e of r){const t=this.plot_view.renderer_view(e);null!=t&&o.push(t)}n.select(o,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let r;switch(e.type){case\"point\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:o,sy0:c,sy1:i}=e,[a,l]=s.r_invert(t,o),[d,_]=n.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:a,y0:d,x1:l,y1:_});break}case\"poly\":{const{sx:t,sy:o}=e,c=s.v_invert(t),i=n.v_invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new p.SelectionGeometry(r,t))}}s.SelectToolView=v,v.__name__=\"SelectToolView\";class b extends c.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new u.Signal0(this,\"clear\")}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=b,o=b,b.__name__=\"SelectTool\",o.define((({String:e,Array:t,Ref:s,Or:n,Auto:r})=>({renderers:[n(t(s(l.DataRenderer)),r),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))},\n", " function _(t,o,e,s,i){var n;s();const _=t(223),a=t(116),l=t(20),r=t(228);class h extends _.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=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,b;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,m_&&(d=_)):(d=t[1],b=t[1]-l/s,bnew a.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=r.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=m,n=m,m.__name__=\"BoxZoomTool\",n.prototype.default_view=h,n.define((({Boolean:t,Ref:o})=>({dimensions:[l.Dimensions,\"both\"],overlay:[o(a.BoxAnnotation),c],match_aspect:[t,!1],origin:[l.BoxOrigin,\"corner\"]}))),n.register_alias(\"box_zoom\",(()=>new m({dimensions:\"both\"}))),n.register_alias(\"xbox_zoom\",(()=>new m({dimensions:\"width\"}))),n.register_alias(\"ybox_zoom\",(()=>new m({dimensions:\"height\"})))},\n", " function _(s,e,t,o,_){var l;o();const i=s(378),a=s(217),c=s(381),n=s(43),h=s(228);class r extends i.SelectToolView{constructor(){super(...arguments),this.sxs=[],this.sys=[]}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_overlay()}_keyup(s){s.keyCode==n.Keys.Enter&&this._clear_overlay()}_pan_start(s){this.sxs=[],this.sys=[];const{sx:e,sy:t}=s;this._append_overlay(e,t)}_pan(s){const[e,t]=this.plot_view.frame.bbox.clip(s.sx,s.sy);this._append_overlay(e,t),this.model.select_every_mousemove&&this._do_select(this.sxs,this.sys,!1,this._select_mode(s))}_pan_end(s){const{sxs:e,sys:t}=this;this._clear_overlay(),this._do_select(e,t,!0,this._select_mode(s)),this.plot_view.state.push(\"lasso_select\",{selection:this.plot_view.get_selection()})}_append_overlay(s,e){const{sxs:t,sys:o}=this;t.push(s),o.push(e),this.model.overlay.update({xs:t,ys:o})}_clear_overlay(){this.sxs=[],this.sys=[],this.model.overlay.update({xs:this.sxs,ys:this.sys})}_do_select(s,e,t,o){const _={type:\"poly\",sx:s,sy:e};this._select(_,t,o)}}t.LassoSelectToolView=r,r.__name__=\"LassoSelectToolView\";class y extends i.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=h.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}}t.LassoSelectTool=y,l=y,y.__name__=\"LassoSelectTool\",l.prototype.default_view=r,l.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(a.PolyAnnotation),c.DEFAULT_POLY_OVERLAY]}))),l.register_alias(\"lasso_select\",(()=>new y))},\n", " function _(e,t,s,l,o){var i;l();const a=e(378),_=e(217),c=e(43),n=e(9),h=e(228);class y extends a.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==c.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.state.push(\"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:(0,n.copy)(this.data.sx),ys:(0,n.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=y,y.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new _.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=h.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}}s.PolySelectTool=d,i=d,d.__name__=\"PolySelectTool\",i.prototype.default_view=y,i.define((({Ref:e})=>({overlay:[e(_.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),i.register_alias(\"poly_select\",(()=>new d))},\n", " function _(e,t,s,i,r){var n;i();const _=e(20),d=e(383),o=e(228);class l extends d.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const s of t){1==this._select_event(e,\"replace\",[s]).length&&(this._selected_renderer=s)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[s,i]=[t.x.field,t.y.field],r=e.get_array(s),n=e.get_array(i);this._set_intersection(r,n)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const s=this._select_mode(e);if(0==this._select_event(e,s,[t]).length)return}const s=this._select_mode(e);this._select_event(e,s,[t]),this._select_event(e,s,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,i]=[e.x.field,e.y.field];if(s&&i){const e=t.data[s],r=t.data[i];this._selected_renderer.data_source.data[s]=e,this._selected_renderer.data_source.data[i]=r}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}s.LineEditToolView=l,l.__name__=\"LineEditToolView\";class h extends d.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=o.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}s.LineEditTool=h,n=h,h.__name__=\"LineEditTool\",n.prototype.default_view=l,n.define((()=>({dimensions:[_.Dimensions,\"both\"]})))},\n", " function _(e,i,n,t,s){var o;t();const r=e(8),_=e(370);class d extends _.EditToolView{_set_intersection(e,i){const n=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,o]=[n.x.field,n.y.field];s&&((0,r.isArray)(e)?t.data[s]=e:n.x={value:e}),o&&((0,r.isArray)(i)?t.data[o]=i:n.y={value:i}),this._emit_cds_changes(t,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}n.LineToolView=d,d.__name__=\"LineToolView\";class a extends _.EditTool{constructor(e){super(e)}}n.LineTool=a,o=a,a.__name__=\"LineTool\",o.define((({AnyRef:e})=>({intersection_renderer:[e()]})))},\n", " function _(t,s,n,e,i){e();const o=t(1);var a;const _=t(223),l=t(20),r=(0,o.__importStar)(t(228));function h(t,s,n){const e=new Map;for(const[i,o]of t){const[t,a]=o.r_invert(s,n);e.set(i,{start:t,end:a})}return e}n.update_ranges=h;class d extends _.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:n,sy:e}=t,i=this.plot_view.frame.bbox;if(!i.contains(n,e)){const t=i.h_range,s=i.v_range;(nt.end)&&(this.v_axis_only=!0),(es.end)&&(this.h_axis_only=!0)}null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan(t){var s;this._update(t.deltaX,t.deltaY),null===(s=this.model.document)||void 0===s||s.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.state.push(\"pan\",{range:this.pan_info}),this.plot_view.trigger_ranges_update_event()}_update(t,s){const n=this.plot_view.frame,e=t-this.last_dx,i=s-this.last_dy,o=n.bbox.h_range,a=o.start-e,_=o.end-e,l=n.bbox.v_range,r=l.start-i,d=l.end-i,p=this.model.dimensions;let c,u,m,v,x,g;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,u=o.end,m=0):(c=a,u=_,m=-e),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(v=l.start,x=l.end,g=0):(v=r,x=d,g=-i),this.last_dx=t,this.last_dy=s;const{x_scales:w,y_scales:y}=n,f=h(w,c,u),b=h(y,v,x);this.pan_info={xrs:f,yrs:b,sdx:m,sdy:g},this.plot_view.update_range(this.pan_info,{panning:!0})}}n.PanToolView=d,d.__name__=\"PanToolView\";class p extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}n.PanTool=p,a=p,p.__name__=\"PanTool\",a.prototype.default_view=d,a.define((()=>({dimensions:[l.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=r.tool_icon_pan;break;case\"width\":s.icon=r.tool_icon_xpan;break;case\"height\":s.icon=r.tool_icon_ypan}}}]}))),a.register_alias(\"pan\",(()=>new p({dimensions:\"both\"}))),a.register_alias(\"xpan\",(()=>new p({dimensions:\"width\"}))),a.register_alias(\"ypan\",(()=>new p({dimensions:\"height\"})))},\n", " function _(e,t,i,s,n){var l;s();const a=e(116),r=e(58),o=e(19),_=e(223),h=e(228);function d(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function u(e,t,i,s){if(null==t)return!1;const n=i.compute(t);return Math.abs(e-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(en.top)&&(l=!1)}return l}function g(e,t,i){let s=0;return e>=i.start&&e<=i.end&&(s+=1),t>=i.start&&t<=i.end&&(s+=1),s}function y(e,t,i,s){const n=t.compute(e),l=t.invert(n+i);return l>=s.start&&l<=s.end?l:e}function f(e,t,i){return e>t.start?(t.end=e,i):(t.end=t.start,t.start=e,d(i))}function v(e,t,i){return e=o&&(e.start=a,e.end=r)}i.flip_side=d,i.is_near=u,i.is_inside=c,i.sides_inside=g,i.compute_value=y,i.update_range_end_side=f,i.update_range_start_side=v,i.update_range=m;class p extends _.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,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,l=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:d}=r,g=this.model.overlay.line_width+a.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(u(e.sx,o,n,g)?this.side=1:u(e.sx,_,n,g)?this.side=2:c(e.sx,e.sy,n,l,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&u(e.sy,d,l,g)&&(this.side=4),0==this.side&&u(e.sy,h,l,g)?this.side=5:c(e.sx,e.sy,n,l,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,i=e.deltaX-this.last_dx,s=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.x_scale,r=t.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,t.x_range);else if(1==this.side){const e=y(n.start,a,i,t.x_range);this.side=v(e,n,this.side)}else if(2==this.side){const e=y(n.end,a,i,t.x_range);this.side=f(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,t.y_range);else if(4==this.side){const e=y(l.start,r,s,t.y_range);this.side=v(e,l,this.side)}else if(5==this.side){const e=y(l.end,r,s,t.y_range);this.side=f(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0,this.plot_view.trigger_ranges_update_event()}}i.RangeToolView=p,p.__name__=\"RangeToolView\";const x=()=>new a.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class w extends _.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=h.tool_icon_range,this.event_type=\"pan\",this.default_order=1}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,o.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)}}i.RangeTool=w,l=w,w.__name__=\"RangeTool\",l.prototype.default_view=p,l.define((({Boolean:e,Ref:t,Nullable:i})=>({x_range:[i(t(r.Range1d)),null],x_interaction:[e,!0],y_range:[i(t(r.Range1d)),null],y_interaction:[e,!0],overlay:[t(a.BoxAnnotation),x]})))},\n", " function _(e,t,s,o,i){var l;o();const a=e(378),n=e(20),c=e(228);class _ extends a.SelectToolView{_tap(e){\"tap\"==this.model.gesture&&this._handle_tap(e)}_doubletap(e){\"doubletap\"==this.model.gesture&&this._handle_tap(e)}_handle_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const{callback:o}=this.model;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,l]of i){const i=l[0].get_selection_manager(),a=l.map((e=>this.plot_view.renderer_view(e))).filter((e=>null!=e));if(i.select(a,e,t,s)&&null!=o){const t=a[0].coordinates.x_scale.invert(e.sx),s=a[0].coordinates.y_scale.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.state.push(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_view(t);if(null==s)continue;const i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),l=s.coordinates.y_scale.invert(e.sy),a={geometries:Object.assign(Object.assign({},e),{x:t,y:l}),source:i.source};o.execute(this.model,a)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class r extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=c.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}}s.TapTool=r,l=r,r.__name__=\"TapTool\",l.prototype.default_view=_,l.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[n.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),l.register_alias(\"click\",(()=>new r({behavior:\"inspect\"}))),l.register_alias(\"tap\",(()=>new r)),l.register_alias(\"doubletap\",(()=>new r({gesture:\"doubletap\"})))},\n", " function _(e,t,s,n,i){var o;n();const a=e(223),l=e(20),_=e(228),r=e(384);class h extends a.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){var t;const{frame:s}=this.plot_view,n=s.bbox.h_range,i=s.bbox.v_range,[o,a]=[n.start,n.end],[l,_]=[i.start,i.end];let h,d,c,p;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-l);h=o,d=a,c=l-t*e,p=_-t*e;break}case\"width\":{const t=Math.abs(a-o);h=o-t*e,d=a-t*e,c=l,p=_;break}}const{x_scales:m,y_scales:u}=s,w={xrs:(0,r.update_ranges)(m,h,d),yrs:(0,r.update_ranges)(u,c,p),factor:e};this.plot_view.state.push(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,{scrolling:!0}),null===(t=this.model.document)||void 0===t||t.interactive_start(this.plot_model)}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class d extends a.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=_.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=d,o=d,d.__name__=\"WheelPanTool\",o.prototype.default_view=h,o.define((()=>({dimension:[l.Dimension,\"width\"]}))),o.internal((({Number:e})=>({speed:[e,.001]}))),o.register_alias(\"xwheel_pan\",(()=>new d({dimension:\"width\"}))),o.register_alias(\"ywheel_pan\",(()=>new d({dimension:\"height\"})))},\n", " function _(e,o,t,s,i){var n;s();const l=e(223),_=e(368),h=e(20),a=e(27),r=e(228);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:n}=e;let l;l=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:l,ctrlKey:i,shiftKey:n})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:n,sy:l}=e,h=this.model.dimensions,a=(\"width\"==h||\"both\"==h)&&s.startthis.plot_view.trigger_ranges_update_event()))}}t.WheelZoomToolView=m,m.__name__=\"WheelZoomToolView\";class d extends l.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=r.tool_icon_wheel_zoom,this.event_type=a.is_mobile?\"pinch\":\"scroll\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=d,n=d,d.__name__=\"WheelZoomTool\",n.prototype.default_view=m,n.define((({Boolean:e,Number:o})=>({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),n.register_alias(\"wheel_zoom\",(()=>new d({dimensions:\"both\"}))),n.register_alias(\"xwheel_zoom\",(()=>new d({dimensions:\"width\"}))),n.register_alias(\"ywheel_zoom\",(()=>new d({dimensions:\"height\"})))},\n", " function _(i,e,s,t,o){var n;t();const l=i(232),a=i(219),h=i(20),r=i(13),_=i(228);class c extends l.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.location=e),\"height\"!=s&&\"both\"!=s||(this.model.spans.height.location=i)}}s.CrosshairToolView=c,c.__name__=\"CrosshairToolView\";class p extends l.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=_.tool_icon_crosshair}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return(0,r.values)(this.spans)}}s.CrosshairTool=p,n=p,p.__name__=\"CrosshairTool\",(()=>{function i(i,e){return new a.Span({for_hover:!0,dimension:e,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}n.prototype.default_view=c,n.define((({Alpha:i,Number:e,Color:s})=>({dimensions:[h.Dimensions,\"both\"],line_color:[s,\"black\"],line_width:[e,1],line_alpha:[i,1]}))),n.internal((({Struct:e,Ref:s})=>({spans:[e({width:s(a.Span),height:s(a.Span)}),e=>({width:i(e,\"width\"),height:i(e,\"height\")})]}))),n.register_alias(\"crosshair\",(()=>new p))})()},\n", " function _(e,s,t,r,n){var o;r();const a=e(53),u=e(13),c=e(34);class i extends a.Model{constructor(e){super(e)}get values(){return(0,u.values)(this.args)}_make_code(e,s,t,r){return new Function(...(0,u.keys)(this.args),e,s,t,(0,c.use_strict)(r))}format(e,s,t){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,s,t)}}t.CustomJSHover=i,o=i,i.__name__=\"CustomJSHover\",o.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n", " function _(e,t,n,s,o){s();const i=e(1);var r;const l=e(232),a=e(390),c=e(241),_=e(175),d=e(339),p=e(176),h=e(177),u=e(283),m=(0,i.__importStar)(e(185)),y=e(152),f=e(43),v=e(22),x=e(13),w=e(234),g=e(8),b=e(113),k=e(20),C=e(228),S=e(15),T=e(66),$=(0,i.__importStar)(e(242)),R=e(392);function M(e,t,n,s,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,c;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-n),c=Math.abs(l.x-n)):(a=Math.abs(r.y-s),c=Math.abs(l.y-s));else{const e={x:n,y:s};a=m.dist_2_pts(r,e),c=m.dist_2_pts(l,e)}return adelete this._template_el)),this.on_change([e,t,n],(async()=>await this._update_ttmodels()))}async _update_ttmodels(){const{_ttmodels:e,computed_renderers:t}=this;e.clear();const{tooltips:n}=this.model;if(null!=n)for(const t of this.computed_renderers){const s=new c.Tooltip({custom:(0,g.isString)(n)||(0,g.isFunction)(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof _.GlyphRenderer?e.set(t,s):t instanceof d.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await(0,b.build_views)(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const o=[...function*(){for(const e of t)e instanceof _.GlyphRenderer?yield e:e instanceof d.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],i=this._slots.get(this._update);if(null!=i){const e=new Set(o.map((e=>e.data_source)));S.Signal.disconnect_receiver(this,i,e)}for(const e of o)this.connect(e.data_source.inspect,this._update)}get computed_renderers(){const{renderers:e,names:t}=this.model,n=this.plot_model.data_renderers;return(0,T.compute_renderers)(e,n,t)}get ttmodels(){return this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:n}=e;this.plot_view.frame.bbox.contains(t,n)?this._inspect(t,n):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let n;if(\"mouse\"==this.model.mode)n={type:\"point\",sx:e,sy:t};else{n={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){const t=e.get_selection_manager(),s=this.plot_view.renderer_view(e);null!=s&&t.inspect(s,n)}this._emit_callback(n)}_update([e,{geometry:t}]){var n,s;if(!this.model.active)return;if(\"point\"!=t.type&&\"span\"!=t.type)return;if(!(e instanceof _.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const o=this.ttmodels.get(e);if(null==o)return;const i=e.get_selection_manager(),r=i.inspectors.get(e),l=e.view.convert_selection_to_subset(r);if(r.is_empty())return void o.clear();const a=i.source,c=this.plot_view.renderer_view(e);if(null==c)return;const{sx:d,sy:p}=t,m=c.coordinates.x_scale,y=c.coordinates.y_scale,v=m.invert(d),w=y.invert(p),{glyph:g}=c,b=[];if(g instanceof h.LineView)for(const n of l.line_indices){let s,o,i=g._x[n+1],r=g._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[i,r]=g.get_interpolation_hit(n,t),s=m.compute(i),o=y.compute(r);break;case\"prev\":[[s,o],c]=G(g.sx,g.sy,n);break;case\"next\":[[s,o],c]=G(g.sx,g.sy,n+1);break;case\"nearest\":[[s,o],c]=M(n,t,d,p,g.sx,g.sy),i=g._x[c],r=g._y[c];break;default:[s,o]=[d,p]}const _={index:c,x:v,y:w,sx:d,sy:p,data_x:i,data_y:r,rx:s,ry:o,indices:l.line_indices,name:e.name};b.push([s,o,this._render_tooltips(a,c,_)])}for(const t of r.image_indices){const n={index:t.index,x:v,y:w,sx:d,sy:p,name:e.name},s=this._render_tooltips(a,t,n);b.push([d,p,s])}for(const o of l.indices)if(g instanceof u.MultiLineView&&!(0,x.isEmpty)(l.multiline_indices))for(const n of l.multiline_indices[o.toString()]){let s,i,r,c=g._xs.get(o)[n],h=g._ys.get(o)[n],u=n;switch(this.model.line_policy){case\"interp\":[c,h]=g.get_interpolation_hit(o,n,t),s=m.compute(c),i=y.compute(h);break;case\"prev\":[[s,i],u]=G(g.sxs.get(o),g.sys.get(o),n);break;case\"next\":[[s,i],u]=G(g.sxs.get(o),g.sys.get(o),n+1);break;case\"nearest\":[[s,i],u]=M(n,t,d,p,g.sxs.get(o),g.sys.get(o)),c=g._xs.get(o)[u],h=g._ys.get(o)[u];break;default:throw new Error(\"shouldn't have happened\")}r=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const f={index:r,x:v,y:w,sx:d,sy:p,data_x:c,data_y:h,segment_index:u,indices:l.multiline_indices,name:e.name};b.push([s,i,this._render_tooltips(a,r,f)])}else{const t=null===(n=g._x)||void 0===n?void 0:n[o],i=null===(s=g._y)||void 0===s?void 0:s[o];let r,c,h;if(\"snap_to_data\"==this.model.point_policy){let e=g.get_anchor_point(this.model.anchor,o,[d,p]);if(null==e&&(e=g.get_anchor_point(\"center\",o,[d,p]),null==e))continue;r=e.x,c=e.y}else[r,c]=[d,p];h=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const u={index:h,x:v,y:w,sx:d,sy:p,data_x:t,data_y:i,indices:l.indices,name:e.name};b.push([r,c,this._render_tooltips(a,h,u)])}if(0==b.length)o.clear();else{const{content:e}=o;(0,f.empty)(o.content);for(const[,,t]of b)null!=t&&e.appendChild(t);const[t,n]=b[b.length-1];o.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof _.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:o,y_scale:i}=s.coordinates,r=o.invert(e.sx),l=i.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=(0,f.div)({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=(0,f.div)({style:{display:\"table-row\"}});t.appendChild(e);const s=(0,f.div)({style:{display:\"table-cell\"},class:$.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const o=(0,f.span)();o.dataset.value=\"\";const i=(0,f.span)({class:$.tooltip_color_block},\" \");i.dataset.swatch=\"\",(0,f.undisplay)(i);const r=(0,f.div)({style:{display:\"table-cell\"},class:$.tooltip_row_value},o,i);e.appendChild(r)}return t}_render_template(e,t,n,s,o){const i=e.cloneNode(!0),r=i.querySelectorAll(\"[data-value]\"),l=i.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],i]of(0,w.enumerate)(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,o=n.get_column(e);if(null==o)r[i].textContent=`${e} unknown`;else{const e=(0,g.isNumber)(s)?o[s]:null;null!=e&&(l[i].style.backgroundColor=(0,v.color2css)(e),(0,f.display)(l[i]))}}if(null!=_){const[,e=\"\",t]=_,o=n.get_column(t);if(null==o){r[i].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=(0,g.isNumber)(s)?o[s]:null;if(null==d){r[i].textContent=\"(null)\";continue}r[i].textContent=a?(0,v.color2hex)(d):(0,v.color2css)(d),c&&(l[i].style.backgroundColor=(0,v.color2css)(d),(0,f.display)(l[i]))}}else{const t=(0,y.replace_placeholders)(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,o);if((0,g.isString)(t))r[i].textContent=t;else for(const e of t)r[i].appendChild(e)}}return i}_render_tooltips(e,t,n){var s;const{tooltips:o}=this.model;if((0,g.isString)(o)){const s=(0,y.replace_placeholders)({html:o},e,t,this.model.formatters,n);return(0,f.div)(s)}if((0,g.isFunction)(o))return o(e,n);if(o instanceof R.Template)return this._template_view.update(e,t,n),this._template_view.el;if(null!=o){const i=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(o);return this._render_template(i,o,e,t,n)}return null}}n.HoverToolView=z,z.__name__=\"HoverToolView\";class A extends l.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=C.tool_icon_hover}}n.HoverTool=A,r=A,A.__name__=\"HoverTool\",r.prototype.default_view=z,r.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:o,Dict:i,Or:r,Ref:l,Function:c,Auto:_,Nullable:d})=>({tooltips:[d(r(l(R.Template),n,s(o(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[i(r(l(a.CustomJSHover),y.FormatterType)),{}],renderers:[r(s(l(p.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[k.HoverMode,\"mouse\"],muted_policy:[k.MutedPolicy,\"show\"],point_policy:[k.PointPolicy,\"snap_to_data\"],line_policy:[k.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[k.Anchor,\"center\"],attachment:[k.TooltipAttachment,\"horizontal\"],callback:[d(e)]}))),r.register_alias(\"hover\",(()=>new A))},\n", " function _(e,t,s,n,a){n();const l=e(1);var i,_,o,r,c,d,p,u,m,w,f,h,x;const v=e(53),y=e(309),V=e(393);a(\"Styles\",V.Styles);const g=e(43),T=e(42),b=e(226),R=e(113),D=e(8),M=e(13),S=(0,l.__importStar)(e(242)),O=e(152);class C extends b.DOMView{}s.DOMNodeView=C,C.__name__=\"DOMNodeView\";class z extends v.Model{constructor(e){super(e)}}s.DOMNode=z,z.__name__=\"DOMNode\",z.__module__=\"bokeh.models.dom\";class P extends C{render(){super.render(),this.el.textContent=this.model.content}_createElement(){return document.createTextNode(\"\")}}s.TextView=P,P.__name__=\"TextView\";class A extends z{constructor(e){super(e)}}s.Text=A,i=A,A.__name__=\"Text\",i.prototype.default_view=P,i.define((({String:e})=>({content:[e,\"\"]})));class N extends C{}s.PlaceholderView=N,N.__name__=\"PlaceholderView\",N.tag_name=\"span\";class E extends z{constructor(e){super(e)}}s.Placeholder=E,_=E,E.__name__=\"Placeholder\",_.define((({})=>({})));class G extends N{update(e,t,s){this.el.textContent=t.toString()}}s.IndexView=G,G.__name__=\"IndexView\";class I extends E{constructor(e){super(e)}}s.Index=I,o=I,I.__name__=\"Index\",o.prototype.default_view=G,o.define((({})=>({})));class k extends N{update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ValueRefView=k,k.__name__=\"ValueRefView\";class $ extends E{constructor(e){super(e)}}s.ValueRef=$,r=$,$.__name__=\"ValueRef\",r.prototype.default_view=k,r.define((({String:e})=>({field:[e]})));class B extends k{render(){super.render(),this.value_el=(0,g.span)(),this.swatch_el=(0,g.span)({class:S.tooltip_color_block},\" \"),this.el.appendChild(this.value_el),this.el.appendChild(this.swatch_el)}update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ColorRefView=B,B.__name__=\"ColorRefView\";class L extends ${constructor(e){super(e)}}s.ColorRef=L,c=L,L.__name__=\"ColorRef\",c.prototype.default_view=B,c.define((({Boolean:e})=>({hex:[e,!0],swatch:[e,!0]})));class j extends C{constructor(){super(...arguments),this.child_views=new Map}async lazy_initialize(){await super.lazy_initialize();const e=this.model.children.filter((e=>e instanceof v.Model));await(0,R.build_views)(this.child_views,e,{parent:this})}render(){super.render();const{style:e}=this.model;if(null!=e)if(e instanceof V.Styles)for(const t of e){const e=t.get_value();if((0,D.isString)(e)){const s=t.attr.replace(/_/g,\"-\");this.el.style.hasOwnProperty(s)&&this.el.style.setProperty(s,e)}}else for(const[t,s]of(0,M.entries)(e)){const e=t.replace(/_/g,\"-\");this.el.style.hasOwnProperty(e)&&this.el.style.setProperty(e,s)}for(const e of this.model.children)if((0,D.isString)(e)){const t=document.createTextNode(e);this.el.appendChild(t)}else{this.child_views.get(e).renderTo(this.el)}}}s.DOMElementView=j,j.__name__=\"DOMElementView\";class q extends z{constructor(e){super(e)}}s.DOMElement=q,d=q,q.__name__=\"DOMElement\",d.define((({String:e,Array:t,Dict:s,Or:n,Nullable:a,Ref:l})=>({style:[a(n(l(V.Styles),s(e))),null],children:[t(n(e,l(z),l(y.LayoutDOM))),[]]})));class F extends T.View{}s.ActionView=F,F.__name__=\"ActionView\";class H extends v.Model{constructor(e){super(e)}}s.Action=H,p=H,H.__name__=\"Action\",H.__module__=\"bokeh.models.dom\",p.define((({})=>({})));class J extends j{constructor(){super(...arguments),this.action_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await(0,R.build_views)(this.action_views,this.model.actions,{parent:this})}remove(){(0,R.remove_views)(this.action_views),super.remove()}update(e,t,s={}){!function n(a){for(const l of a.child_views.values())l instanceof N?l.update(e,t,s):l instanceof j&&n(l)}(this);for(const n of this.action_views.values())n.update(e,t,s)}}s.TemplateView=J,J.__name__=\"TemplateView\",J.tag_name=\"div\";class K extends q{}s.Template=K,u=K,K.__name__=\"Template\",u.prototype.default_view=J,u.define((({Array:e,Ref:t})=>({actions:[e(t(H)),[]]})));class Q extends j{}s.SpanView=Q,Q.__name__=\"SpanView\",Q.tag_name=\"span\";class U extends q{}s.Span=U,m=U,U.__name__=\"Span\",m.prototype.default_view=Q;class W extends j{}s.DivView=W,W.__name__=\"DivView\",W.tag_name=\"div\";class X extends q{}s.Div=X,w=X,X.__name__=\"Div\",w.prototype.default_view=W;class Y extends j{}s.TableView=Y,Y.__name__=\"TableView\",Y.tag_name=\"table\";class Z extends q{}s.Table=Z,f=Z,Z.__name__=\"Table\",f.prototype.default_view=Y;class ee extends j{}s.TableRowView=ee,ee.__name__=\"TableRowView\",ee.tag_name=\"tr\";class te extends q{}s.TableRow=te,h=te,te.__name__=\"TableRow\",h.prototype.default_view=ee;const se=e(41),ne=e(234);class ae extends F{update(e,t,s){for(const[e,s]of(0,ne.enumerate)(this.model.groups))e.visible=t==s}}s.ToggleGroupView=ae,ae.__name__=\"ToggleGroupView\";class le extends H{constructor(e){super(e)}}s.ToggleGroup=le,x=le,le.__name__=\"ToggleGroup\",x.prototype.default_view=ae,x.define((({Array:e,Ref:t})=>({groups:[e(t(se.RendererGroup)),[]]})))},\n", " function _(l,n,u,_,e){var t;_();const o=l(53);class r extends o.Model{constructor(l){super(l)}}u.Styles=r,t=r,r.__name__=\"Styles\",r.__module__=\"bokeh.models.css\",t.define((({String:l,Nullable:n})=>({align_content:[n(l),null],align_items:[n(l),null],align_self:[n(l),null],alignment_baseline:[n(l),null],all:[n(l),null],animation:[n(l),null],animation_delay:[n(l),null],animation_direction:[n(l),null],animation_duration:[n(l),null],animation_fill_mode:[n(l),null],animation_iteration_count:[n(l),null],animation_name:[n(l),null],animation_play_state:[n(l),null],animation_timing_function:[n(l),null],backface_visibility:[n(l),null],background:[n(l),null],background_attachment:[n(l),null],background_clip:[n(l),null],background_color:[n(l),null],background_image:[n(l),null],background_origin:[n(l),null],background_position:[n(l),null],background_position_x:[n(l),null],background_position_y:[n(l),null],background_repeat:[n(l),null],background_size:[n(l),null],baseline_shift:[n(l),null],block_size:[n(l),null],border:[n(l),null],border_block_end:[n(l),null],border_block_end_color:[n(l),null],border_block_end_style:[n(l),null],border_block_end_width:[n(l),null],border_block_start:[n(l),null],border_block_start_color:[n(l),null],border_block_start_style:[n(l),null],border_block_start_width:[n(l),null],border_bottom:[n(l),null],border_bottom_color:[n(l),null],border_bottom_left_radius:[n(l),null],border_bottom_right_radius:[n(l),null],border_bottom_style:[n(l),null],border_bottom_width:[n(l),null],border_collapse:[n(l),null],border_color:[n(l),null],border_image:[n(l),null],border_image_outset:[n(l),null],border_image_repeat:[n(l),null],border_image_slice:[n(l),null],border_image_source:[n(l),null],border_image_width:[n(l),null],border_inline_end:[n(l),null],border_inline_end_color:[n(l),null],border_inline_end_style:[n(l),null],border_inline_end_width:[n(l),null],border_inline_start:[n(l),null],border_inline_start_color:[n(l),null],border_inline_start_style:[n(l),null],border_inline_start_width:[n(l),null],border_left:[n(l),null],border_left_color:[n(l),null],border_left_style:[n(l),null],border_left_width:[n(l),null],border_radius:[n(l),null],border_right:[n(l),null],border_right_color:[n(l),null],border_right_style:[n(l),null],border_right_width:[n(l),null],border_spacing:[n(l),null],border_style:[n(l),null],border_top:[n(l),null],border_top_color:[n(l),null],border_top_left_radius:[n(l),null],border_top_right_radius:[n(l),null],border_top_style:[n(l),null],border_top_width:[n(l),null],border_width:[n(l),null],bottom:[n(l),null],box_shadow:[n(l),null],box_sizing:[n(l),null],break_after:[n(l),null],break_before:[n(l),null],break_inside:[n(l),null],caption_side:[n(l),null],caret_color:[n(l),null],clear:[n(l),null],clip:[n(l),null],clip_path:[n(l),null],clip_rule:[n(l),null],color:[n(l),null],color_interpolation:[n(l),null],color_interpolation_filters:[n(l),null],column_count:[n(l),null],column_fill:[n(l),null],column_gap:[n(l),null],column_rule:[n(l),null],column_rule_color:[n(l),null],column_rule_style:[n(l),null],column_rule_width:[n(l),null],column_span:[n(l),null],column_width:[n(l),null],columns:[n(l),null],content:[n(l),null],counter_increment:[n(l),null],counter_reset:[n(l),null],css_float:[n(l),null],css_text:[n(l),null],cursor:[n(l),null],direction:[n(l),null],display:[n(l),null],dominant_baseline:[n(l),null],empty_cells:[n(l),null],fill:[n(l),null],fill_opacity:[n(l),null],fill_rule:[n(l),null],filter:[n(l),null],flex:[n(l),null],flex_basis:[n(l),null],flex_direction:[n(l),null],flex_flow:[n(l),null],flex_grow:[n(l),null],flex_shrink:[n(l),null],flex_wrap:[n(l),null],float:[n(l),null],flood_color:[n(l),null],flood_opacity:[n(l),null],font:[n(l),null],font_family:[n(l),null],font_feature_settings:[n(l),null],font_kerning:[n(l),null],font_size:[n(l),null],font_size_adjust:[n(l),null],font_stretch:[n(l),null],font_style:[n(l),null],font_synthesis:[n(l),null],font_variant:[n(l),null],font_variant_caps:[n(l),null],font_variant_east_asian:[n(l),null],font_variant_ligatures:[n(l),null],font_variant_numeric:[n(l),null],font_variant_position:[n(l),null],font_weight:[n(l),null],gap:[n(l),null],glyph_orientation_vertical:[n(l),null],grid:[n(l),null],grid_area:[n(l),null],grid_auto_columns:[n(l),null],grid_auto_flow:[n(l),null],grid_auto_rows:[n(l),null],grid_column:[n(l),null],grid_column_end:[n(l),null],grid_column_gap:[n(l),null],grid_column_start:[n(l),null],grid_gap:[n(l),null],grid_row:[n(l),null],grid_row_end:[n(l),null],grid_row_gap:[n(l),null],grid_row_start:[n(l),null],grid_template:[n(l),null],grid_template_areas:[n(l),null],grid_template_columns:[n(l),null],grid_template_rows:[n(l),null],height:[n(l),null],hyphens:[n(l),null],image_orientation:[n(l),null],image_rendering:[n(l),null],inline_size:[n(l),null],justify_content:[n(l),null],justify_items:[n(l),null],justify_self:[n(l),null],left:[n(l),null],letter_spacing:[n(l),null],lighting_color:[n(l),null],line_break:[n(l),null],line_height:[n(l),null],list_style:[n(l),null],list_style_image:[n(l),null],list_style_positio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" function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}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 a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n", " function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in s[o]||(s[o][e.type]=[]),s[o][e.type].push(e)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const n=(o,t=!1)=>{const s=new p.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of(0,h.keys)(s)){const t=this.gestures[o];t.tools=[];for(const e of(0,h.keys)(s[o])){const i=s[o][e];if(i.length>0)if(\"multi\"==o)for(const o of i){const s=n([o]);t.tools.push(s),this.connect(s.properties.active.change,(()=>this._active_change(s)))}else{const o=n(i);t.tools.push(o),this.connect(o.properties.active.change,(()=>this._active_change(o)))}}}this.actions=[];for(const[o,s]of(0,h.entries)(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(n([o]));else s.length>0&&this.actions.push(n(s));this.inspectors=[];for(const t of(0,h.values)(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of(0,h.entries)(this.gestures))0!=t.tools.length&&(t.tools=(0,c.sort_by)(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=y,n=y,y.__name__=\"ProxyToolbar\",n.define((({Array:o,Ref:t})=>({toolbars:[o(t(_.Toolbar)),[]]})));class d extends u.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 f.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.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})}after_layout(){super.after_layout();const o=this.child_views[0];o.layout.bbox=this.layout.bbox,o.render()}}s.ToolbarBoxView=d,d.__name__=\"ToolbarBoxView\";class b extends u.LayoutDOM{constructor(o){super(o)}}s.ToolbarBox=b,r=b,b.__name__=\"ToolbarBox\",r.prototype.default_view=d,r.define((({Ref:o})=>({toolbar:[o(a.ToolbarBase)],toolbar_location:[l.Location,\"right\"]})))},\n", " function _(e,n,r,t,o){t();const s=e(1),u=e(53),c=(0,s.__importStar)(e(21)),a=e(8),l=e(13);r.resolve_defs=function(e,n){var r,t,o,s;function i(e){return null!=e.module?`${e.module}.${e.name}`:e.name}function f(e){if((0,a.isString)(e))switch(e){case\"Any\":return c.Any;case\"Unknown\":return c.Unknown;case\"Boolean\":return c.Boolean;case\"Number\":return c.Number;case\"Int\":return c.Int;case\"String\":return c.String;case\"Null\":return c.Null}else switch(e[0]){case\"Nullable\":{const[,n]=e;return c.Nullable(f(n))}case\"Or\":{const[,...n]=e;return c.Or(...n.map(f))}case\"Tuple\":{const[,n,...r]=e;return c.Tuple(f(n),...r.map(f))}case\"Array\":{const[,n]=e;return c.Array(f(n))}case\"Struct\":{const[,...n]=e,r=n.map((([e,n])=>[e,f(n)]));return c.Struct((0,l.to_object)(r))}case\"Dict\":{const[,n]=e;return c.Dict(f(n))}case\"Map\":{const[,n,r]=e;return c.Map(f(n),f(r))}case\"Enum\":{const[,...n]=e;return c.Enum(...n)}case\"Ref\":{const[,r]=e,t=n.get(i(r));if(null!=t)return c.Ref(t);throw new Error(`${i(r)} wasn't defined before referencing it`)}case\"AnyRef\":return c.AnyRef()}}for(const c of e){const e=(()=>{if(null==c.extends)return u.Model;{const e=n.get(i(c.extends));if(null!=e)return e;throw new Error(`base model ${i(c.extends)} of ${i(c)} is not defined`)}})(),a=((s=class extends e{}).__name__=c.name,s.__module__=c.module,s);for(const e of null!==(r=c.properties)&&void 0!==r?r:[]){const n=f(null!==(t=e.kind)&&void 0!==t?t:\"Unknown\");a.define({[e.name]:[n,e.default]})}for(const e of null!==(o=c.overrides)&&void 0!==o?o:[])a.override({[e.name]:e.default});n.register(a)}}},\n", " function _(n,e,t,o,i){o();const d=n(5),c=n(226),s=n(113),a=n(43),l=n(398);t.index={},t.add_document_standalone=async function(n,e,o=[],i=!1){const u=new Map;async function f(i){let d;const f=n.roots().indexOf(i),r=o[f];null!=r?d=r:e.classList.contains(l.BOKEH_ROOT)?d=e:(d=(0,a.div)({class:l.BOKEH_ROOT}),e.appendChild(d));const w=await(0,s.build_view)(i,{parent:null});return w instanceof c.DOMView&&w.renderTo(d),u.set(i,w),t.index[i.id]=w,w}for(const e of n.roots())await f(e);return i&&(window.document.title=n.title()),n.on_change((n=>{n instanceof d.RootAddedEvent?f(n.model):n instanceof d.RootRemovedEvent?function(n){const e=u.get(n);null!=e&&(e.remove(),u.delete(n),delete t.index[n.id])}(n.model):i&&n instanceof d.TitleChangedEvent&&(window.document.title=n.title)})),[...u.values()]}},\n", " function _(o,e,n,t,r){t();const l=o(43),d=o(44);function u(o){let e=document.getElementById(o);if(null==e)throw new Error(`Error rendering Bokeh model: could not find #${o} HTML tag`);if(!document.body.contains(e))throw new Error(`Error rendering Bokeh model: element #${o} must be under `);if(\"SCRIPT\"==e.tagName){const o=(0,l.div)({class:n.BOKEH_ROOT});(0,l.replaceWith)(e,o),e=o}return e}n.BOKEH_ROOT=d.root,n._resolve_element=function(o){const{elementid:e}=o;return null!=e?u(e):document.body},n._resolve_root_elements=function(o){const e=[];if(null!=o.root_ids&&null!=o.roots)for(const n of o.root_ids)e.push(u(o.roots[n]));return e}},\n", " function _(n,o,t,s,e){s();const c=n(400),r=n(19),a=n(397);t._get_ws_url=function(n,o){let t,s=\"ws:\";return\"https:\"==window.location.protocol&&(s=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),`${s}//${t.host}${n}/ws`};const i={};t.add_document_from_session=async function(n,o,t,s=[],e=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=(0,c.parse_token)(o).session_id;n in i||(i[n]={});const e=i[n];return s in e||(e[s]=(0,c.pull_session)(n,o,t)),e[s]}(n,o,l)}catch(n){const t=(0,c.parse_token)(o).session_id;throw r.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return(0,a.add_document_standalone)(d.document,t,s,e)}},\n", " function _(e,s,n,t,o){t();const r=e(19),i=e(5),c=e(401),l=e(402),_=e(403);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let h=0;function a(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=a;class d{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,t=null){this.url=e,this.token=s,this.args_string=t,this._number=h++,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 l.Receiver,this.id=a(s).session_id.split(\".\")[0],r.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 r.logger.error(`websocket creation failed to url: ${this.url}`),r.logger.error(` - ${e}`),e}}close(){this.closed_permanently||(r.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||r.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=c.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;r.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)r.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=i.Document.from_json(n),t=i.Document._compute_patch_since_json(n,s);if(t.events.length>0){r.logger.debug(`Sending ${t.events.length} changes from model construction back to server`);const e=c.Message.create(\"PATCH-DOC\",{},t);this.send(e)}this.session=new _.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],r.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),r.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),r.logger.error(`Failed to repull session ${e}`),s(e instanceof Error?e:`${e}`)}}_on_open(e,s){r.logger.info(`Websocket connection ${this._number} is now 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t.def(e.shared.vao,\".currentVAO?\",e.shared.vao,\".currentVAO.count:-1\")})):null}(),h=l(br,!1);return{elements:s,primitive:m,count:p,instances:h,offset:d,vao:f,vaoActive:i,elementsActive:u,static:a}}(e,d),A=function(e,t){var r=e.static,n=e.dynamic,i={};return k.forEach((function(e){var o=E(e);function f(t,a){if(e in r){var f=t(r[e]);i[o]=an((function(){return f}))}else if(e in n){var u=n[e];i[o]=on(u,(function(e,t){return a(e,t,e.invoke(t,u))}))}}switch(e){case Nt:case It:case Vt:case er:case Mt:case ir:case Xt:case Kt:case Jt:case Gt:return f((function(r){return _.commandType(r,\"boolean\",e,t.commandStr),r}),(function(t,r,n){return _.optional((function(){t.assert(r,\"typeof \"+n+'===\"boolean\"',\"invalid flag \"+e,t.commandStr)})),n}));case Wt:return f((function(r){return _.commandParameter(r,$r,\"invalid \"+e,t.commandStr),$r[r]}),(function(t,r,n){var a=t.constants.compareFuncs;return _.optional((function(){t.assert(r,n+\" in \"+a,\"invalid \"+e+\", must be one of 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_.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"blend.color must be a 4d array\")})),V(4,(function(e){return t.def(\"+\",r,\"[\",e,\"]\")}))}));case tr:return f((function(e){return _.commandType(e,\"number\",o,t.commandStr),0|e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"',\"invalid stencil.mask\")})),t.def(r,\"|0\")}));case rr:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.cmp||\"keep\",a=r.ref||0,i=\"mask\"in r?r.mask:-1;return _.commandParameter(n,$r,e+\".cmp\",t.commandStr),_.commandType(a,\"number\",e+\".ref\",t.commandStr),_.commandType(i,\"number\",e+\".mask\",t.commandStr),[$r[n],a,i]}),(function(e,t,r){var n=e.constants.compareFuncs;return _.optional((function(){function a(){e.assert(t,Array.prototype.join.call(arguments,\"\"),\"invalid stencil.func\")}a(r+\"&&typeof \",r,'===\"object\"'),a('!(\"cmp\" in ',r,\")||(\",r,\".cmp in \",n,\")\")})),[t.def('\"cmp\" in 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_.commandType(r,\"number\",o+\".factor\",t.commandStr),_.commandType(n,\"number\",o+\".units\",t.commandStr),[r,n]}),(function(t,r,n){return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e)})),[r.def(n,\".factor|0\"),r.def(n,\".units|0\")]}));case qt:return f((function(e){var r=0;return\"front\"===e?r=Hr:\"back\"===e&&(r=Nr),_.command(!!r,o,t.commandStr),r}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"front\"||'+r+'===\"back\"',\"invalid cull.face\")})),t.def(r,'===\"front\"?',Hr,\":\",Nr)}));case Yt:return f((function(e){return _.command(\"number\"==typeof e&&e>=a.lineWidthDims[0]&&e<=a.lineWidthDims[1],\"invalid line width, must be a positive number between \"+a.lineWidthDims[0]+\" and \"+a.lineWidthDims[1],t.commandStr),e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"&&'+r+\">=\"+a.lineWidthDims[0]+\"&&\"+r+\"<=\"+a.lineWidthDims[1],\"invalid line width\")})),r}));case Qt:return f((function(e){return _.commandParameter(e,Zr,o,t.commandStr),Zr[e]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"cw\"||'+r+'===\"ccw\"',\"invalid frontFace, must be one of cw,ccw\")})),t.def(r+'===\"cw\"?2304:'+qr)}));case Ht:return f((function(e){return _.command(me(e)&&4===e.length,\"color.mask must be length 4 array\",t.commandStr),e.map((function(e){return!!e}))}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"invalid color.mask\")})),V(4,(function(e){return\"!!\"+r+\"[\"+e+\"]\"}))}));case Zt:return f((function(e){_.command(\"object\"==typeof e&&e,o,t.commandStr);var r=\"value\"in e?e.value:1,n=!!e.invert;return _.command(\"number\"==typeof r&&r>=0&&r<=1,\"sample.coverage.value must be a number between 0 and 1\",t.commandStr),[r,n]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+\"&&typeof \"+r+'===\"object\"',\"invalid sample.coverage\")})),[t.def('\"value\" in 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t=x[e];t&&(A[e]=t)}O(fr),O(E(or));var T=Object.keys(A).length>0,D={framebuffer:y,draw:w,shader:S,state:A,dirty:T,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(D.profile=function(e){var t,r=e.static,n=e.dynamic;if(ur in r){var a=!!r[ur];(t=an((function(e,t){return a}))).enable=a}else if(ur in n){var i=n[ur];t=on(i,(function(e,t){return e.invoke(t,i)}))}return t}(e),D.uniforms=function(e,t){var r=e.static,n=e.dynamic,a={};return Object.keys(r).forEach((function(e){var n,i=r[e];if(\"number\"==typeof i||\"boolean\"==typeof i)n=an((function(){return i}));else if(\"function\"==typeof i){var o=i._reglType;\"texture2d\"===o||\"textureCube\"===o?n=an((function(e){return e.link(i)})):\"framebuffer\"===o||\"framebufferCube\"===o?(_.command(i.color.length>0,'missing color attachment for framebuffer sent to uniform \"'+e+'\"',t.commandStr),n=an((function(e){return e.link(i.color[0])}))):_.commandRaise('invalid data for uniform \"'+e+'\"',t.commandStr)}else me(i)?n=an((function(t){return 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e=0;e=0},read:z,destroy:function(){I.length=0,le(),V&&(V.removeEventListener(cn,de),V.removeEventListener(ln,me)),k.clear(),E.clear(),O.clear(),A.clear(),S.clear(),w.clear(),x.clear(),m&&m.clear(),q.forEach((function(e){e()}))},_gl:a,_refresh:xe,poll:function(){ye(),m&&m.update()},now:we,stats:l});return n.onDone(null,Ae),Ae}},\"object\"==typeof r&&void 0!==t?t.exports=o():\"function\"==typeof define&&define.amd?define(o):i.createREGL=o()},\n", " 413: function _(t,e,s,a,r){a();const n=t(414),_=t(12);class o{constructor(t){this._regl=t,this._map=new Map}_create_texture(t){const e=t.length;let s=0;const a=[];let r=0,_=0;for(let n=0;nc[f+1]&&f++;const a=t[f],n=c[f]+.5*a;let o=.5*a-Math.abs(s-n);f%2==1&&(o=-o),m[e]=Math.round(255*(o-r)/(_-r))}return[[s,u,r,_],this._regl.texture({shape:[l,1,1],data:m,wrapS:\"repeat\",format:\"alpha\",type:\"uint8\",mag:\"linear\",min:\"linear\"})]}_get_key(t){return t.join(\",\")}_get_or_create(t){const e=this._get_key(t);let s=this._map.get(e);if(null==s){const a=(0,n.gcd)(t);if(a>1){t=(0,_.map)(t,(t=>t/a)),s=this._get_or_create(t);const[r,n,o]=s;s=[r,n,a],this._map.set(e,s)}else{const[r,n]=this._create_texture(t);s=[r,n,a],this._map.set(e,s)}}return s}get(t){return t.length%2==1&&(t=t.slice(0,-1)),this._get_or_create(t)}}s.DashCache=o,o.__name__=\"DashCache\"},\n", " 414: function _(n,t,e,r,o){function u(n,t){let e,r;n>t?(e=n,r=t):(e=t,r=n);let o=e%r;for(;0!=o;)e=r,r=o,o=e%r;return r}r(),e.gcd=function(n){let t=n[0];for(let e=1;e u_miter_limit);\\n miter_too_large_end = (miter_factor_end > u_miter_limit);\\n }\\n\\n float sign_at_start = -sign(a_position.x); // +ve at segment start, -ve end.\\n vec2 point = sign_at_start > 0.0 ? a_point_start : a_point_end;\\n vec2 adjacent_point =\\n sign_at_start > 0.0 ? (has_start_cap ? a_point_start : a_point_prev)\\n : (has_end_cap ? a_point_end : a_point_next);\\n\\n if ( (has_start_cap && sign_at_start > 0.0) ||\\n (has_end_cap && sign_at_start < 0.0) ) {\\n // Cap.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (cap_type == butt_cap)\\n xy -= sign_at_start*0.5*u_antialias*segment_along;\\n else\\n xy -= sign_at_start*halfwidth*segment_along;\\n }\\n else { // Join.\\n // +ve if turning to right, -ve if to left.\\n float turn_sign = sign_at_start > 0.0 ? turn_right_start : turn_right_end;\\n\\n vec2 adjacent_right = sign_at_start*normalize(right_vector(point - adjacent_point));\\n vec2 point_right = normalize(segment_right + adjacent_right);\\n float miter_factor = sign_at_start > 0.0 ? miter_factor_start : miter_factor_end;\\n bool miter_too_large = sign_at_start > 0.0 ? miter_too_large_start : miter_too_large_end;\\n\\n if (abs(a_position.x) > 1.5) {\\n // Outer point, meets prev/next segment.\\n float factor; // multiplied by halfwidth...\\n\\n if (join_type == bevel_join || (join_type == miter_join && miter_too_large))\\n factor = 1.0 / miter_factor; // cos_theta.\\n else if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh)\\n factor = 1.0;\\n else // miter, or round (small angle only).\\n factor = miter_factor;\\n\\n xy = point - point_right*(halfwidth*turn_sign*factor);\\n v_coords.y = turn_sign*halfwidth*factor / miter_factor;\\n }\\n else if (turn_sign*a_position.y < 0.0) {\\n // Inner point, meets prev/next segment.\\n float len = halfwidth*miter_factor;\\n float segment_len = v_segment_length;\\n float adjacent_len = distance(point, adjacent_point);\\n\\n if (len <= min(segment_len, adjacent_len))\\n // Normal behaviour.\\n xy = point - point_right*(len*a_position.y);\\n else\\n // For short wide line segments the inner point using the above\\n // calculation can be outside of the line. Here clipping it.\\n xy = point + segment_right*(halfwidth*turn_sign);\\n }\\n else {\\n // Point along outside edge.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh) {\\n xy = line_intersection(xy, segment_along,\\n point - turn_sign*point_right*halfwidth,\\n right_vector(point_right));\\n }\\n }\\n }\\n\\n vec2 pos = xy + 0.5; // Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n\\n v_coords.x = dot(xy - a_point_start, segment_along);\\n v_flags = float(int(has_start_cap) +\\n 2*int(has_end_cap) +\\n 4*int(miter_too_large_start) +\\n 8*int(miter_too_large_end));\\n v_cos_theta_turn_right_start = cos_theta_start*turn_right_start;\\n v_cos_theta_turn_right_end = cos_theta_end*turn_right_end;\\n\\n#ifdef DASHED\\n v_length_so_far = a_length_so_far;\\n#endif\\n}\\n\"},\n", " 416: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\nuniform float u_linewidth;\\nuniform float u_antialias;\\nuniform float u_line_join;\\nuniform float u_line_cap;\\nuniform vec4 u_line_color;\\n#ifdef DASHED\\nuniform sampler2D u_dash_tex;\\nuniform vec4 u_dash_tex_info;\\nuniform float u_dash_scale;\\nuniform float u_dash_offset;\\n#endif\\n\\nvarying float v_segment_length;\\nvarying vec2 v_coords;\\nvarying float v_flags;\\nvarying float v_cos_theta_turn_right_start;\\nvarying float v_cos_theta_turn_right_end;\\n#ifdef DASHED\\nvarying float v_length_so_far;\\n#endif\\n\\nfloat cross_z(in vec2 v0, in vec2 v1)\\n{\\n return v0.x*v1.y - v0.y*v1.x;\\n}\\n\\nfloat point_line_side(in vec2 point, in vec2 start, in vec2 end)\\n{\\n // +ve if point to right of line.\\n // Alternatively could do dot product with right_vector.\\n return cross_z(point - start, end - start);\\n}\\n\\nfloat point_line_distance(in vec2 point, in vec2 start, in vec2 end)\\n{\\n return point_line_side(point, start, end) / distance(start, end);\\n}\\n\\nvec2 right_vector(in vec2 v)\\n{\\n return vec2(v.y, -v.x);\\n}\\n\\nfloat bevel_join_distance(in float sign_start, in float halfwidth)\\n{\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n float distance_along = sign_start > 0.0 ? 0.0 : v_segment_length;\\n\\n // In v_coords reference frame (x is along segment, y across).\\n vec2 line_start = vec2(distance_along, halfwidth*turn_right);\\n float sin_alpha = cos_theta;\\n float cos_alpha = sqrt(1.0 - sin_alpha*sin_alpha);\\n vec2 line_along = vec2(-sign_start*turn_right*sin_alpha, -cos_alpha);\\n\\n return halfwidth + sign_start*point_line_distance(\\n v_coords, line_start, line_start+line_along);\\n}\\n\\nfloat cap(in int cap_type, in float x, in float y)\\n{\\n // x is distance along segment in direction away from end of segment,\\n // y is distance across segment.\\n if (cap_type == butt_cap)\\n return max(0.5*u_linewidth - x, abs(y));\\n else if (cap_type == square_cap)\\n return max(-x, abs(y));\\n else // cap_type == round_cap\\n return distance(vec2(min(x, 0.0), y), vec2(0.0, 0.0));\\n}\\n\\nfloat distance_to_alpha(in float dist)\\n{\\n return 1.0 - smoothstep(0.5*(u_linewidth - u_antialias),\\n 0.5*(u_linewidth + u_antialias), dist);\\n}\\n\\n#ifdef DASHED\\nfloat dash_distance(in float x)\\n{\\n // x is in direction of v_coords.x, i.e. along segment.\\n float tex_length = u_dash_tex_info.x;\\n float tex_offset = u_dash_tex_info.y;\\n float tex_dist_min = u_dash_tex_info.z;\\n float tex_dist_max = u_dash_tex_info.w;\\n\\n // Apply offset.\\n x += v_length_so_far - u_dash_scale*tex_offset + u_dash_offset;\\n\\n // Interpolate within texture to obtain distance to dash.\\n float dist = texture2D(u_dash_tex,\\n vec2(x / (tex_length*u_dash_scale), 0.0)).a;\\n\\n // Scale distance within min and max limits.\\n dist = tex_dist_min + dist*(tex_dist_max - tex_dist_min);\\n\\n return u_dash_scale*dist;\\n}\\n\\nmat2 rotation_matrix(in float sign_start)\\n{\\n // Rotation matrix for v_coords from this segment to prev or next segment.\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n\\n float sin_theta = sqrt(1.0 - cos_theta*cos_theta)*sign_start*turn_right;\\n float cos_2theta = 2.0*cos_theta*cos_theta - 1.0;\\n float sin_2theta = 2.0*sin_theta*cos_theta;\\n return mat2(cos_2theta, -sin_2theta, sin_2theta, cos_2theta);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int join_type = int(u_line_join + 0.5);\\n int cap_type = int(u_line_cap + 0.5);\\n float halfwidth = 0.5*(u_linewidth + u_antialias);\\n\\n // Extract flags.\\n int flags = int(v_flags + 0.5);\\n bool miter_too_large_end = (flags / 8 > 0);\\n flags -= 8*int(miter_too_large_end);\\n bool miter_too_large_start = (flags / 4 > 0);\\n flags -= 4*int(miter_too_large_start);\\n bool has_end_cap = (flags / 2 > 0);\\n flags -= 2*int(has_end_cap);\\n bool has_start_cap = flags > 0;\\n\\n float dist = v_coords.y; // For straight segment, and miter join.\\n\\n if (v_coords.x <= 0.5*u_antialias) {\\n // At start of segment, either cap or join.\\n if (has_start_cap)\\n dist = cap(cap_type, v_coords.x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(0.0, 0.0));\\n else if (join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_start))\\n dist = max(abs(dist), bevel_join_distance(1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n else if (v_coords.x >= v_segment_length - 0.5*u_antialias) {\\n // At end of segment, either cap or join.\\n if (has_end_cap)\\n dist = cap(cap_type, v_segment_length - v_coords.x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(v_segment_length, 0));\\n else if ((join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_end)))\\n dist = max(abs(dist), bevel_join_distance(-1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n\\n float alpha = distance_to_alpha(abs(dist));\\n\\n#ifdef DASHED\\n if (u_dash_tex_info.x >= 0.0) {\\n // Dashes in straight segments (outside of joins) are easily calculated.\\n dist = dash_distance(v_coords.x);\\n\\n if (!has_start_cap && cap_type == butt_cap) {\\n if (v_coords.x < 0.5*u_antialias) {\\n // Outer of start join rendered solid color or not at all\\n // depending on whether corner point is in dash or gap, with\\n // antialiased ends.\\n dist = (dash_distance(0.0) > 0.0 ? 0.5*u_antialias - v_coords.x\\n : -0.5*u_linewidth);\\n\\n // Also consider antialiased end of dash just outside corner.\\n float end_dist = dash_distance(0.5*u_antialias) + v_coords.x -\\n 0.5*u_antialias;\\n dist = max(dist, end_dist);\\n }\\n\\n vec2 prev_coords = rotation_matrix(1.0)*v_coords;\\n\\n if (abs(prev_coords.y) < halfwidth &&\\n prev_coords.x < 0.5*u_antialias) {\\n // Extend dashes across from previous segment, with antialiased\\n // end.\\n float new_dist = dash_distance(min(prev_coords.x,\\n -0.5*u_antialias));\\n\\n if (prev_coords.x > -0.5*u_antialias)\\n new_dist -= prev_coords.x + 0.5*u_antialias;\\n\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(prev_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n if (!has_end_cap && cap_type == butt_cap) {\\n if (v_coords.x > v_segment_length - 0.5*u_antialias) {\\n // Similar for end join.\\n dist = (dash_distance(v_segment_length) > 0.0\\n ? v_coords.x - v_segment_length + 0.5*u_antialias\\n : -0.5*u_linewidth);\\n\\n float end_dist =\\n dash_distance(v_segment_length - 0.5*u_antialias) -\\n v_coords.x + v_segment_length - 0.5*u_antialias;\\n dist = max(dist, end_dist);\\n }\\n\\n vec2 next_coords =\\n rotation_matrix(-1.0)*(v_coords - vec2(v_segment_length, 0.0));\\n\\n if (abs(next_coords.y) < halfwidth &&\\n next_coords.x > -0.5*u_antialias) {\\n // Extend dashes across from next segment, with antialiased end.\\n float new_dist = dash_distance(v_segment_length +\\n max(next_coords.x, 0.5*u_antialias));\\n\\n if (next_coords.x < 0.5*u_antialias)\\n new_dist += next_coords.x - 0.5*u_antialias;\\n\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(next_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n dist = cap(cap_type, dist, v_coords.y);\\n\\n float dash_alpha = distance_to_alpha(dist);\\n alpha = min(alpha, dash_alpha);\\n }\\n#endif\\n\\n alpha = u_line_color.a*alpha;\\n gl_FragColor = vec4(u_line_color.rgb*alpha, alpha); // Premultiplied alpha.\\n}\\n\"},\n", " 417: function _(n,i,o,a,t){a();o.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_size;\\nattribute float a_angle; // in radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_show;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying vec2 v_coords;\\n\\nvoid main()\\n{\\n v_size = a_size;\\n v_linewidth = a_linewidth;\\n v_line_color = a_line_color;\\n v_fill_color = a_fill_color;\\n\\n if (a_show < 0.5) {\\n // Do not show this marker.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n float enclosing_size = v_size + 2.0*v_linewidth + 3.0*u_antialias;\\n\\n // Coordinates in rotated frame with respect to center of marker, used in\\n // distance functions in fragment shader.\\n v_coords = a_position*enclosing_size;\\n\\n float c = cos(-a_angle);\\n float s = sin(-a_angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n vec2 pos = a_center + rotation*v_coords;\\n pos += 0.5; // make up for Bokeh's offset\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n", " 418: function _(n,a,e,t,s){t();e.default=\"\\nprecision mediump float;\\n\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float SQRT_3 = sqrt(3.0);\\nconst float PI = 3.14159265358979323846264;\\n\\nconst float IN_ANGLE = 0.6283185307179586; // PI/5. = 36 degrees (star of 5 pikes)\\n//const float OUT_ANGLE = PI/2. - IN_ANGLE; // External angle for regular stars\\nconst float COS_A = 0.8090169943749475; // cos(IN_ANGLE)\\nconst float SIN_A = 0.5877852522924731; // sin(IN_ANGLE)\\nconst float COS_B = 0.5877852522924731; // cos(OUT_ANGLE)\\nconst float SIN_B = 0.8090169943749475; // sin(OUT_ANGLE)\\n\\nuniform float u_antialias;\\n\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2 v_coords;\\n\\n#ifdef USE_ASTERISK\\n// asterisk\\nfloat marker(vec2 P, float size)\\n{\\n // Masks\\n float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / 2.0;\\n float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n // Shapes\\n float X = min(abs(P.x - P.y), abs(P.x + P.y));\\n float cross = min(abs(P.x), abs(P.y));\\n // Result is union of masked shapes\\n float result = min(max(X, diamond), max(cross, square));\\n return max(result - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE\\n// circle\\nfloat marker(vec2 P, float size)\\n{\\n return length(P) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n return max(length(P) - size/8.0 - v_linewidth/15.0 + u_antialias, 0.0);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size/2.0;\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(circle, dot_);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE\\n// square\\nfloat marker(vec2 P, float size)\\n{\\n return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(square, dot_);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND\\n// diamond\\nfloat marker(vec2 P, float size)\\n{\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n return r1 / SQRT_2;\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n float diamond = r1 / SQRT_2;\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(diamond, dot_);\\n}\\n#endif\\n\\n#ifdef USE_HEX\\n// hex\\nfloat marker(vec2 P, float size)\\n{\\n vec2 q = abs(P);\\n return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n#endif\\n\\n#ifdef USE_HEX_DOT\\nfloat marker(vec2 P, float size)\\n{\\n vec2 q = abs(P);\\n float hex = max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(hex, dot_);\\n}\\n#endif\\n\\n#ifdef USE_STAR\\n// star\\n// https://iquilezles.org/www/articles/distfunctions2d/distfunctions2d.htm\\nfloat marker(vec2 P, float size)\\n{\\n float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n P -= size*vec2(COS_A, SIN_A)/2.;\\n P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n return length(P)*sign(P.x);\\n}\\n#endif\\n\\n#ifdef USE_STAR_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n P -= size*vec2(COS_A, SIN_A)/2.;\\n P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n float star = length(P)*sign(P.x);\\n return max(star, dot_);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE\\n// triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y -= size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n P.y -= size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = P.y;\\n float triangle = max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n return max(triangle, dot_);\\n}\\n#endif\\n\\n#ifdef USE_INVERTED_TRIANGLE\\n// inverted_triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y += size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = - P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\n// cross\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n float cross = min(abs(P.x), abs(P.y));\\n cross = max(cross - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_DASH\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n float cross = abs(P.y);\\n cross = max(cross - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_CROSS\\n// circle_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_CROSS\\n// square_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n// diamond_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n diamond /= SQRT_2;\\n float c1 = max(diamond, s1);\\n float c2 = max(diamond, s2);\\n float c3 = max(diamond, s3);\\n float c4 = max(diamond, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_X\\n// x\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size / 2.0;\\n float X = min(abs(P.x - P.y), abs(P.x + P.y));\\n X = max(X - v_linewidth/2.0, 0.0);\\n return max(circle, X);\\n}\\n#endif\\n\\n#ifdef USE_Y\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size / 2.0;\\n\\n float dx = 1.0 / SQRT_3;\\n float dy = SQRT_2 / SQRT_3;\\n\\n // Sideways distance from the three spokes.\\n float d0 = abs(P.x);\\n float d1 = abs(dot(P, vec2(dx, dy)));\\n float d2 = abs(dot(P, vec2(dx, -dy)));\\n\\n // Clip each spoke to semicircle.\\n d0 = max(d0, -P.y);\\n d1 = max(d1, dot(P, vec2(-dy, dx)));\\n d2 = max(d2, dot(P, vec2(dy, dx)));\\n\\n float Y = min(min(d0, d1), d2);\\n Y = max(Y - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n return max(circle, Y);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n// circle_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_Y\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size/2.0;\\n\\n float dx = 1.0 / SQRT_3;\\n float dy = SQRT_2 / SQRT_3;\\n\\n // Sideways distance from the three spokes.\\n float d0 = abs(P.x);\\n float d1 = abs(dot(P, vec2(dx, dy)));\\n float d2 = abs(dot(P, vec2(dx, -dy)));\\n\\n // Clip each spoke to semicircle.\\n d0 = max(d0, -P.y);\\n d1 = max(d1, dot(P, vec2(-dy, dx)));\\n d2 = max(d2, dot(P, vec2(dy, dx)));\\n\\n float Y = min(min(d0, d1), d2);\\n Y = min(v_linewidth/2.0 - u_antialias/2.0 - Y, 0.0);\\n\\n return max(circle, Y);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n// square_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_PLUS\\nfloat marker(vec2 P, float size)\\n{\\n vec2 size2 = vec2(size*0.5, size*0.2);\\n P = abs(P);\\n P = (P.y > P.x) ? P.yx : P.xy;\\n vec2 q = P - size2;\\n float k = max(q.y, q.x);\\n vec2 w = (k > 0.0) ? q : vec2(size2.y - P.x, -k);\\n return sign(k)*length(max(w, 0.0));\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_PIN\\nfloat marker(vec2 P, float size)\\n{\\n float actual_size = size*1.2;\\n float radius = 0.75*actual_size; // Radius of curvature of edges.\\n float offset = actual_size/2.0 + sqrt(radius*radius - actual_size*actual_size/4.0);\\n vec2 centerx = vec2(offset, 0.0);\\n vec2 centery = vec2(0.0, offset);\\n\\n float right = length(P - centerx);\\n float left = length(P + centerx);\\n float up = length(P - centery);\\n float down = length(P + centery);\\n float pin = radius - min(min(right, left), min(up, down));\\n\\n float circle = length(P) - actual_size*0.6;\\n return max(circle, pin);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_PIN\\nfloat marker(vec2 P, float size)\\n{\\n float actual_size = size*1.2;\\n float radius = 1.2*actual_size; // Radius of curvature of edges.\\n\\n float angle = 2.0*PI / 3.0;\\n float c = cos(angle);\\n float s = sin(angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n // Half the length of straight triangle edge.\\n float half_edge = actual_size*SQRT_3/4.0;\\n // Distance from center of triangle to middle of straight edge.\\n float centre_middle_edge = 0.25*actual_size;\\n float offset = centre_middle_edge + sqrt(radius*radius - half_edge*half_edge);\\n // Centre of curvature.\\n vec2 center = vec2(0.0, offset);\\n\\n float dist0 = length(P - center);\\n P = rotation*P;\\n float dist1 = length(P - center);\\n P = rotation*P;\\n float dist2 = length(P - center);\\n float pin = radius - min(min(dist0, dist1), dist2);\\n\\n float circle = length(P) - actual_size / 2.0;\\n return max(circle, pin);\\n}\\n#endif\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 line_color,\\n vec4 fill_color)\\n{\\n vec4 frag_color;\\n float t = min(linewidth/2.0 - antialias, 0.0); // Line half-width.\\n float signed_distance = distance;\\n float border_distance = abs(signed_distance) - t;\\n float alpha = border_distance/antialias;\\n alpha = exp(-alpha*alpha);\\n\\n // If line alpha is zero, it probably means no outline. To avoid a dark\\n // outline shining through due to antialiasing, we set the line color to the\\n // fill color.\\n float select = float(bool(line_color.a));\\n line_color.rgb = select*line_color.rgb + (1.0 - select)*fill_color.rgb;\\n // Similarly, if we want a transparent fill.\\n select = float(bool(fill_color.a));\\n fill_color.rgb = select*fill_color.rgb + (1.0 - select)*line_color.rgb;\\n\\n if (border_distance < 0.0)\\n frag_color = line_color;\\n else if (signed_distance < 0.0)\\n frag_color = mix(fill_color, line_color, sqrt(alpha));\\n else {\\n if (abs(signed_distance) < linewidth/2.0 + antialias)\\n frag_color = vec4(line_color.rgb, line_color.a*alpha);\\n else\\n discard;\\n }\\n return frag_color;\\n}\\n\\nvoid main()\\n{\\n float distance = marker(v_coords, v_size);\\n gl_FragColor = outline(\\n distance, v_linewidth, u_antialias, v_line_color, v_fill_color);\\n gl_FragColor.rgb *= gl_FragColor.a; // Premultiplied alpha.\\n}\\n\"},\n", " 419: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_width;\\nattribute float a_height;\\nattribute float a_angle; // In radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_line_join;\\nattribute float a_show;\\n#ifdef HATCH\\nattribute float a_hatch_pattern;\\nattribute float a_hatch_scale;\\nattribute float a_hatch_weight;\\nattribute vec4 a_hatch_color;\\n#endif\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size; // 2D size for rects compared to 1D for markers.\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\nvoid main()\\n{\\n if (a_show < 0.5) {\\n // Do not show this rect.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n v_size = vec2(a_width, a_height);\\n v_linewidth = a_linewidth;\\n v_line_color = a_line_color;\\n v_fill_color = a_fill_color;\\n v_line_join = a_line_join;\\n\\n if (v_linewidth < 1.0) {\\n // Linewidth less than 1 is implemented as 1 but with reduced alpha.\\n v_line_color.a *= v_linewidth;\\n v_linewidth = 1.0;\\n }\\n\\n#ifdef HATCH\\n v_hatch_pattern = a_hatch_pattern;\\n v_hatch_scale = a_hatch_scale;\\n v_hatch_weight = a_hatch_weight;\\n v_hatch_color = a_hatch_color;\\n#endif\\n\\n vec2 enclosing_size = v_size + v_linewidth + u_antialias;\\n\\n // Coordinates in rotated frame with respect to center of marker, used for\\n // distance functions in fragment shader.\\n v_coords = a_position*enclosing_size;\\n\\n float c = cos(-a_angle);\\n float s = sin(-a_angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n vec2 pos = a_center + rotation*v_coords;\\n#ifdef HATCH\\n // Coordinates for hatching in unrotated frame of reference.\\n v_hatch_coords = pos - 0.5;\\n#endif\\n pos += 0.5; // Make up for Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // 0 to 1.\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n", " 420: function _(n,a,t,o,r){o();t.default=\"\\nprecision mediump float;\\n\\nconst float SQRT2 = sqrt(2.0);\\nconst float INVSQRT2 = 1.0/SQRT2;\\nconst float PI = 3.14159265358979323846;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n#ifdef HATCH\\nconst int hatch_dot = 1;\\nconst int hatch_ring = 2;\\nconst int hatch_horizontal_line = 3;\\nconst int hatch_vertical_line = 4;\\nconst int hatch_cross = 5;\\nconst int hatch_horizontal_dash = 6;\\nconst int hatch_vertical_dash = 7;\\nconst int hatch_spiral = 8;\\nconst int hatch_right_diagonal_line = 9;\\nconst int hatch_left_diagonal_line = 10;\\nconst int hatch_diagonal_cross = 11;\\nconst int hatch_right_diagonal_dash = 12;\\nconst int hatch_left_diagonal_dash = 13;\\nconst int hatch_horizontal_wave = 14;\\nconst int hatch_vertical_wave = 15;\\nconst int hatch_criss_cross = 16;\\n#endif\\n\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\n// Distance is zero on edge of marker, +ve outside and -ve inside.\\nfloat marker_distance(vec2 p, int line_join)\\n{\\n vec2 dist2 = abs(p) - v_size/2.0;\\n float dist = max(dist2.x, dist2.y);\\n\\n if (dist2.x > 0.0 && dist2.y > 0.0) {\\n // Outside of corner needs correct join, default is miter.\\n if (line_join == round_join)\\n dist = length(dist2);\\n else if (line_join == bevel_join) {\\n vec2 normal = vec2(INVSQRT2, INVSQRT2);\\n dist = dot(dist2, normal) + 0.5*v_linewidth*(1.0 - INVSQRT2);\\n }\\n }\\n\\n return dist;\\n}\\n\\n// Convert distance from edge of marker to fraction in range 0 to 1, depending\\n// on antialiasing width.\\nfloat distance_to_fraction(float dist)\\n{\\n return 1.0 - smoothstep(-0.5*u_antialias, 0.5*u_antialias, dist);\\n}\\n\\n// Return fraction from 0 (no fill color) to 1 (full fill color).\\nfloat fill_fraction(float dist)\\n{\\n return distance_to_fraction(dist);\\n}\\n\\n// Return fraction in range 0 (no line color) to 1 (full line color).\\nfloat line_fraction(float dist)\\n{\\n return distance_to_fraction(abs(dist) - 0.5*v_linewidth);\\n}\\n\\n// Return fraction (in range 0 to 1) of a color, with premultiplied alpha.\\nvec4 fractional_color(vec4 color, float fraction)\\n{\\n color.a *= fraction;\\n color.rgb *= color.a;\\n return color;\\n}\\n\\n// Blend colors that have premultiplied alpha.\\nvec4 blend_colors(vec4 src, vec4 dest)\\n{\\n return (1.0 - src.a)*dest + src;\\n}\\n\\n#ifdef HATCH\\n// Wrap coordinate(s) by removing integer part to give distance from center of\\n// repeat, in the range -0.5 to +0.5.\\nfloat wrap(float x)\\n{\\n return fract(x) - 0.5;\\n}\\n\\nvec2 wrap(vec2 xy)\\n{\\n return fract(xy) - 0.5;\\n}\\n\\n// Return fraction from 0 (no hatch color) to 1 (full hatch color).\\nfloat hatch_fraction(vec2 coords, int hatch_pattern)\\n{\\n float scale = v_hatch_scale; // Hatch repeat distance.\\n\\n // Coordinates and linewidth/halfwidth are scaled to hatch repeat distance.\\n coords = coords / scale;\\n float halfwidth = 0.5*v_hatch_weight / scale; // Half the hatch linewidth.\\n\\n // Default is to return fraction of zero, i.e. no pattern.\\n float dist = u_antialias;\\n\\n if (hatch_pattern == hatch_dot) {\\n const float dot_radius = 0.25;\\n dist = length(wrap(coords)) - dot_radius;\\n }\\n else if (hatch_pattern == hatch_ring) {\\n const float ring_radius = 0.25;\\n dist = abs(length(wrap(coords)) - ring_radius) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_line) {\\n dist = abs(wrap(coords.y)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_line) {\\n dist = abs(wrap(coords.x)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_cross) {\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_dash) {\\n // Dashes have square caps.\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.y)),\\n abs(wrap(coords.x) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_dash) {\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.x)),\\n abs(wrap(coords.y) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_spiral) {\\n vec2 wrap2 = wrap(coords);\\n float angle = wrap(atan(wrap2.y, wrap2.x) / (2.0*PI));\\n // Canvas spiral radius increases by scale*pi/15 each rotation.\\n const float dr = PI/15.0;\\n float radius = length(wrap2);\\n // At any angle, spiral lines are equally spaced dr apart.\\n // Find distance to nearest of these lines.\\n float frac = fract((radius - dr*angle) / dr); // 0 to 1.\\n dist = dr*(abs(frac - 0.5));\\n dist = min(dist, radius) - halfwidth; // Consider center point also.\\n }\\n else if (hatch_pattern == hatch_right_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x + coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x - coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_diagonal_cross) {\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_right_diagonal_dash) {\\n float across = coords.x + coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x - coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_dash) {\\n float across = coords.x - coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x + coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_wave) {\\n float wrapx = wrap(coords.x);\\n float wrapy = wrap(coords.y - 0.25 + abs(wrapx));\\n dist = abs(wrapy) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_wave) {\\n float wrapy = wrap(coords.y);\\n float wrapx = wrap(coords.x - 0.25 + abs(wrapy));\\n dist = abs(wrapx) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_criss_cross) {\\n float plus = min(abs(wrap(coords.x)), abs(wrap(coords.y)));\\n\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n float X = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2;\\n\\n dist = min(plus, X) - halfwidth;\\n }\\n\\n return distance_to_fraction(dist*scale);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int line_join = int(v_line_join + 0.5);\\n#ifdef HATCH\\n int hatch_pattern = int(v_hatch_pattern + 0.5);\\n#endif\\n\\n float dist = marker_distance(v_coords, line_join);\\n\\n float fill_frac = fill_fraction(dist);\\n vec4 color = fractional_color(v_fill_color, fill_frac);\\n\\n#ifdef HATCH\\n if (hatch_pattern > 0 && fill_frac > 0.0) {\\n float hatch_frac = hatch_fraction(v_hatch_coords, hatch_pattern);\\n vec4 hatch_color = fractional_color(v_hatch_color, hatch_frac*fill_frac);\\n color = blend_colors(hatch_color, color);\\n }\\n#endif\\n\\n float line_frac = line_fraction(dist);\\n if (line_frac > 0.0) {\\n vec4 line_color = fractional_color(v_line_color, line_frac);\\n color = blend_colors(line_color, color);\\n }\\n\\n gl_FragColor = color;\\n}\\n\"},\n", " 421: function _(s,i,t,e,_){e();const h=s(422),l=s(22),a=s(46),n=s(423),o=s(424),r=-1e4;class p extends h.BaseGLGlyph{constructor(s,i){super(s,i),this.glyph=i,this._antialias=1.5,this._miter_limit=5}draw(s,i,t){const e=i.glglyph;this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),e.data_changed&&(e._set_data(),e.data_changed=!1);const _=this.glyph.visuals.line,h=n.cap_lookup[_.line_cap.value],l=n.join_lookup[_.line_join.value];if(this._is_dashed()){const s={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:e._points,nsegments:e._nsegments,line_join:l,line_cap:h,length_so_far:e._length_so_far,dash_tex:this._dash_tex,dash_tex_info:this._dash_tex_info,dash_scale:this._dash_scale,dash_offset:this._dash_offset};this.regl_wrapper.dashed_line()(s)}else{const s={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:e._points,nsegments:e._nsegments,line_join:l,line_cap:h};this.regl_wrapper.solid_line()(s)}}_is_dashed(){return this._line_dash.length>0}_set_data(){const s=this.glyph.sx.length;this._nsegments=s-1,null==this._is_closed&&(this._is_closed=this.glyph.sx[0]==this.glyph.sx[s-1]&&this.glyph.sy[0]==this.glyph.sy[s-1]&&isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0])),null==this._points&&(this._points=new o.Float32Buffer(this.regl_wrapper));const i=this._points.get_sized_array(2*(s+2));for(let t=1;t-9e3&&i[2*e+4]>-9e3&&(t+=Math.sqrt((i[2*e+4]-i[2*e+2])**2+(i[2*e+5]-i[2*e+3])**2));this._length_so_far.update()}}_set_visuals(){const s=this.glyph.visuals.line,i=(0,l.color2rgba)(s.line_color.value,s.line_alpha.value);this._color=i.map((s=>s/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),1==this._line_dash.length&&this._line_dash.push(this._line_dash[0]),this._is_dashed()&&([this._dash_tex_info,this._dash_tex,this._dash_scale]=this.regl_wrapper.get_dash(this._line_dash),this._dash_offset=s.line_dash_offset.value)}}t.LineGL=p,p.__name__=\"LineGL\"},\n", " 422: function _(e,t,s,i,h){i();class a{constructor(e,t){this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.regl_wrapper=e}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,s){if(0==t.length)return!0;const{width:i,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:i,height:h};return this.draw(t,s,a),!0}}s.BaseGLGlyph=a,a.__name__=\"BaseGLGlyph\"},\n", " 423: function _(a,o,i,n,l){n();const t=a(52);i.cap_lookup={butt:0,round:1,square:2},i.join_lookup={miter:0,round:1,bevel:2};const _={blank:0,dot:1,ring:2,horizontal_line:3,vertical_line:4,cross:5,horizontal_dash:6,vertical_dash:7,spiral:8,right_diagonal_line:9,left_diagonal_line:10,diagonal_cross:11,right_diagonal_dash:12,left_diagonal_dash:13,horizontal_wave:14,vertical_wave:15,criss_cross:16};i.hatch_pattern_to_index=function(a){var o,i;return null!==(i=_[null!==(o=t.hatch_aliases[a])&&void 0!==o?o:a])&&void 0!==i?i:0}},\n", " 424: function _(r,t,a,e,s){e();const i=r(423),_=r(22);class n{constructor(r){this.regl_wrapper=r,this.is_scalar=!0}get_sized_array(r){return null!=this.array&&this.array.length==r||(this.array=this.new_array(r)),this.array}is_normalized(){return!1}get length(){return this.array.length}set_from_array(r){const t=r.length,a=this.get_sized_array(t);for(let e=0;ethis.render()))}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),d.default]}_render_button(...t){return(0,c.button)({type:\"button\",disabled:this.model.disabled,class:[h.btn,h[`btn_${this.model.button_type}`]]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",(()=>this.click())),null!=this.icon_view&&(\"\"!=this.model.label?(0,c.prepend)(this.button_el,this.icon_view.el,(0,c.nbsp)()):(0,c.prepend)(this.button_el,this.icon_view.el),this.icon_view.render()),this.group_el=(0,c.div)({class:h.btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=b,b.__name__=\"AbstractButtonView\";class p extends _.Control{constructor(t){super(t)}}n.AbstractButton=p,o=p,p.__name__=\"AbstractButton\",o.define((({String:t,Ref:e,Nullable:n})=>({label:[t,\"Button\"],icon:[n(e(a.AbstractIcon)),null],button_type:[r.ButtonType,\"default\"]})))},\n", " 439: function _(t,e,o,s,n){s();const i=t(508),l=t(43);class c extends i.WidgetView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.disabled,(()=>{for(const t of this.controls())(0,l.toggle_attribute)(t,\"disabled\",this.model.disabled)}))}}o.ControlView=c,c.__name__=\"ControlView\";class r extends i.Widget{constructor(t){super(t)}}o.Control=r,r.__name__=\"Control\"},\n", " 508: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n", " 441: function _(c,t,s,n,e){n();const o=c(53),_=c(226);class a extends _.DOMView{}s.AbstractIconView=a,a.__name__=\"AbstractIconView\";class r extends o.Model{constructor(c){super(c)}}s.AbstractIcon=r,r.__name__=\"AbstractIcon\"},\n", " 442: function _(e,t,n,s,i){s();const h=e(1);var o;const _=e(443),u=e(43),r=e(10),c=(0,h.__importStar)(e(229)),a=c;class l extends _.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=(0,u.div)({class:[a.menu,a.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),(0,u.undisplay)(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu()),this.model.restrict||super.change_input()}_update_completions(e){(0,u.empty)(this.menu);for(const t of e){const e=(0,u.div)(t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(a.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,(0,u.display)(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,u.undisplay)(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t0&&(this.menu.children[this._hover_index].classList.remove(a.active),this._hover_index=(0,r.clamp)(e,0,t-1),this.menu.children[this._hover_index].classList.add(a.active))}_keydown(e){}_keyup(e){switch(e.keyCode){case u.Keys.Enter:this.change_input();break;case u.Keys.Esc:this._hide_menu();break;case u.Keys.Up:this._bump_hover(this._hover_index-1);break;case u.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.lengthe:e=>e.toLowerCase();for(const n of this.model.completions)s(n).startsWith(s(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class d extends _.TextInput{constructor(e){super(e)}}n.AutocompleteInput=d,o=d,d.__name__=\"AutocompleteInput\",o.prototype.default_view=l,o.define((({Boolean:e,Int:t,String:n,Array:s})=>({completions:[s(n),[]],min_characters:[t,2],case_sensitive:[e,!0],restrict:[e,!0]})))},\n", " 443: function _(t,e,n,p,_){p();const u=t(1);var i;const s=t(444),r=t(43),x=(0,u.__importStar)(t(446));class a extends s.TextLikeInputView{_render_input(){this.input_el=(0,r.input)({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends s.TextLikeInput{constructor(t){super(t)}}n.TextInput=c,i=c,c.__name__=\"TextInput\",i.prototype.default_view=a},\n", " 444: function _(e,t,n,i,l){var s;i();const h=e(445);class a extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>this.input_el.value=this.model.value)),this.connect(this.model.properties.value_input.change,(()=>this.input_el.value=this.model.value_input)),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.max_length.change,(()=>{const{max_length:e}=this.model;null!=e?this.input_el.maxLength=e:this.input_el.removeAttribute(\"maxLength\")}))}render(){var e;super.render(),this._render_input();const{input_el:t}=this;t.name=null!==(e=this.model.name)&&void 0!==e?e:\"\",t.value=this.model.value,t.disabled=this.model.disabled,t.placeholder=this.model.placeholder,null!=this.model.max_length&&(t.maxLength=this.model.max_length),t.addEventListener(\"change\",(()=>this.change_input())),t.addEventListener(\"input\",(()=>this.change_input_value())),this.group_el.appendChild(t)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_value(){this.model.value_input=this.input_el.value,super.change_input()}}n.TextLikeInputView=a,a.__name__=\"TextLikeInputView\";class u extends h.InputWidget{constructor(e){super(e)}}n.TextLikeInput=u,s=u,u.__name__=\"TextLikeInput\",s.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))},\n", " 445: function _(e,t,n,s,l){s();const i=e(1);var o;const r=e(439),_=e(43),p=(0,i.__importStar)(e(446)),a=p;class c extends r.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,(()=>{this.label_el.textContent=this.model.title}))}styles(){return[...super.styles(),p.default]}render(){super.render();const{title:e}=this.model;this.label_el=(0,_.label)({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=(0,_.div)({class:a.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}n.InputWidgetView=c,c.__name__=\"InputWidgetView\";class d extends r.Control{constructor(e){super(e)}}n.InputWidget=d,o=d,d.__name__=\"InputWidget\",o.define((({String:e})=>({title:[e,\"\"]})))},\n", " 446: function _(o,p,t,n,i){n(),t.root=\"bk-root\",t.input=\"bk-input\",t.input_group=\"bk-input-group\",t.inline=\"bk-inline\",t.spin_wrapper=\"bk-spin-wrapper\",t.spin_btn=\"bk-spin-btn\",t.spin_btn_up=\"bk-spin-btn-up\",t.spin_btn_down=\"bk-spin-btn-down\",t.default='.bk-root .bk-input{display:inline-block;width:100%;flex-grow:1;min-height:31px;padding:0 12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;}.bk-root .bk-input:focus{border-color:#66afe9;outline:0;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);}.bk-root .bk-input::placeholder,.bk-root .bk-input:-ms-input-placeholder,.bk-root .bk-input::-moz-placeholder,.bk-root .bk-input::-webkit-input-placeholder{color:#999;opacity:1;}.bk-root .bk-input[disabled]{cursor:not-allowed;background-color:#eee;opacity:1;}.bk-root select:not([multiple]).bk-input,.bk-root select:not([size]).bk-input{height:auto;appearance:none;-webkit-appearance:none;background-image:url(\\'data:image/svg+xml;utf8,\\');background-position:right 0.5em center;background-size:8px 6px;background-repeat:no-repeat;}.bk-root select[multiple].bk-input,.bk-root select[size].bk-input,.bk-root textarea.bk-input{height:auto;}.bk-root .bk-input-group{width:100%;height:100%;display:inline-flex;flex-wrap:nowrap;align-items:start;flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;}.bk-root .bk-input-group.bk-inline > *:not(:first-child){margin-left:5px;}.bk-root .bk-input-group input[type=\"checkbox\"] + span,.bk-root .bk-input-group input[type=\"radio\"] + span{position:relative;top:-2px;margin-left:3px;}.bk-root .bk-input-group > .bk-spin-wrapper{display:inherit;width:inherit;height:inherit;position:relative;overflow:hidden;padding:0;vertical-align:middle;}.bk-root .bk-input-group > .bk-spin-wrapper input{padding-right:20px;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn{position:absolute;display:block;height:50%;min-height:0;min-width:0;width:30px;padding:0;margin:0;right:0;border:none;background:none;cursor:pointer;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before{content:\"\";display:inline-block;transform:translateY(-50%);border-left:5px solid transparent;border-right:5px solid transparent;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up{top:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before{border-bottom:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before{border-bottom-color:grey;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down{bottom:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before{border-top:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before{border-top-color:grey;}'},\n", " 447: function _(t,e,n,o,c){var s;o();const u=t(438),r=t(251);class i extends u.AbstractButtonView{click(){this.model.trigger_event(new r.ButtonClick),super.click()}}n.ButtonView=i,i.__name__=\"ButtonView\";class _ extends u.AbstractButton{constructor(t){super(t)}}n.Button=_,s=_,_.__name__=\"Button\",s.prototype.default_view=i,s.override({label:\"Button\"})},\n", " 448: function _(t,e,o,c,a){c();const s=t(1);var n;const i=t(449),r=t(43),u=(0,s.__importStar)(t(318));class _ extends i.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach(((e,o)=>{(0,r.classes)(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=_,_.__name__=\"CheckboxButtonGroupView\";class h extends i.ButtonGroup{constructor(t){super(t)}}o.CheckboxButtonGroup=h,n=h,h.__name__=\"CheckboxButtonGroup\",n.prototype.default_view=_,n.define((({Int:t,Array:e})=>({active:[e(t),[]]})))},\n", " 449: function _(t,e,n,s,i){s();const o=t(1);var r;const a=t(450),l=t(20),d=t(43),u=(0,o.__importStar)(t(318)),_=u;class c extends a.OrientedControlView{get default_size(){return\"horizontal\"==this.orientation?this.model.default_size:void 0}*controls(){yield*this._buttons}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()))}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=(0,d.div)({class:[_.btn,_[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n", " 450: function _(n,t,e,o,r){var i;o();const a=n(439),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n", " 451: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(452),l=e(43),d=e(9),p=(0,o.__importStar)(e(446));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;ithis.change_active(i))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),(0,d.includes)(t,i)&&(s.checked=!0);const o=(0,l.label)(s,(0,l.span)(n[i]));e.appendChild(o)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}n.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class h extends c.InputGroup{constructor(e){super(e)}}n.CheckboxGroup=h,a=h,h.__name__=\"CheckboxGroup\",a.prototype.default_view=r,a.define((({Boolean:e,Int:t,String:n,Array:i})=>({active:[i(t),[]],labels:[i(n),[]],inline:[e,!1]})))},\n", " 452: function _(n,t,e,s,o){s();const r=n(1),u=n(439),c=(0,r.__importDefault)(n(446));class _ extends u.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}styles(){return[...super.styles(),c.default]}}e.InputGroupView=_,_.__name__=\"InputGroupView\";class i extends u.Control{constructor(n){super(n)}}e.InputGroup=i,i.__name__=\"InputGroup\"},\n", " 453: function _(e,t,i,n,o){n();const s=e(1);var l;const r=e(445),c=e(43),a=e(22),d=(0,s.__importStar)(e(446));class h extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.color.change,(()=>this.input_el.value=(0,a.color2hexrgb)(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=(0,c.input)({type:\"color\",class:d.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()}}i.ColorPickerView=h,h.__name__=\"ColorPickerView\";class p extends r.InputWidget{constructor(e){super(e)}}i.ColorPicker=p,l=p,p.__name__=\"ColorPicker\",l.prototype.default_view=h,l.define((({Color:e})=>({color:[e,\"#000000\"]})))},\n", " 454: function _(e,t,i,n,s){n();const a=e(1);var l;const o=(0,a.__importDefault)(e(455)),d=e(445),r=e(43),c=e(20),u=e(8),h=(0,a.__importStar)(e(446)),_=(0,a.__importDefault)(e(456));function p(e){const t=[];for(const i of e)if((0,u.isString)(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class m extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),_.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,r.input)({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,o.default)(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:p(this.model.disabled_dates),enable:p(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=m,m.__name__=\"DatePickerView\";class v extends d.InputWidget{constructor(e){super(e)}}i.DatePicker=v,l=v,v.__name__=\"DatePicker\",l.prototype.default_view=m,l.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[c.CalendarPosition,\"auto\"],inline:[e,!1]}}))},\n", " 455: function _(e,n,t,a,i){\n", " /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n", " /*! *****************************************************************************\n", " Copyright (c) Microsoft Corporation.\n", " \n", " Permission to use, copy, modify, and/or distribute this software for any\n", " purpose with or without fee is hereby granted.\n", " \n", " THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n", " REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n", " AND FITNESS. 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n=g(e),t=V(n),a=n===w.input||n===w.altInput||w.element.contains(n)||e.path&&e.path.indexOf&&(~e.path.indexOf(w.input)||~e.path.indexOf(w.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!V(e.relatedTarget):!a&&!t&&!V(e.relatedTarget),o=!w.config.ignoredFocusElements.some((function(e){return e.contains(n)}));i&&o&&(void 0!==w.timeContainer&&void 0!==w.minuteElement&&void 0!==w.hourElement&&\"\"!==w.input.value&&void 0!==w.input.value&&T(),w.close(),w.config&&\"range\"===w.config.mode&&1===w.selectedDates.length&&(w.clear(!1),w.redraw()))}}function Q(e){if(!(!e||w.config.minDate&&ew.config.maxDate.getFullYear())){var n=e,t=w.currentYear!==n;w.currentYear=n||w.currentYear,w.config.maxDate&&w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth=Math.min(w.config.maxDate.getMonth(),w.currentMonth):w.config.minDate&&w.currentYear===w.config.minDate.getFullYear()&&(w.currentMonth=Math.max(w.config.minDate.getMonth(),w.currentMonth)),t&&(w.redraw(),pe(\"onYearChange\"),K())}}function X(e,n){void 0===n&&(n=!0);var t=w.parseDate(e,void 0,n);if(w.config.minDate&&t&&M(t,w.config.minDate,void 0!==n?n:!w.minDateHasTime)<0||w.config.maxDate&&t&&M(t,w.config.maxDate,void 0!==n?n:!w.maxDateHasTime)>0)return!1;if(0===w.config.enable.length&&0===w.config.disable.length)return!0;if(void 0===t)return!1;for(var a=w.config.enable.length>0,i=a?w.config.enable:w.config.disable,o=0,r=void 0;o=r.from.getTime()&&t.getTime()<=r.to.getTime())return a}return!a}function ee(e){return void 0!==w.daysContainer&&-1===e.className.indexOf(\"hidden\")&&-1===e.className.indexOf(\"flatpickr-disabled\")&&w.daysContainer.contains(e)}function ne(e){e.target!==w._input||e.relatedTarget&&V(e.relatedTarget)||w.setDate(w._input.value,!0,e.target===w.altInput?w.config.altFormat:w.config.dateFormat)}function te(e){var n=g(e),t=w.config.wrap?p.contains(n):n===w._input,a=w.config.allowInput,i=w.isOpen&&(!a||!t),o=w.config.inline&&t&&!a;if(13===e.keyCode&&t){if(a)return 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d=[w.hourElement,w.minuteElement,w.secondElement,w.amPM].concat(w.pluginElements).filter((function(e){return e})),s=d.indexOf(n);if(-1!==s){var u=d[s+(e.shiftKey?-1:1)];e.preventDefault(),(u||w._input).focus()}}else!w.config.noCalendar&&w.daysContainer&&w.daysContainer.contains(n)&&e.shiftKey&&(e.preventDefault(),w._input.focus())}}if(void 0!==w.amPM&&n===w.amPM)switch(e.key){case w.l10n.amPM[0].charAt(0):case w.l10n.amPM[0].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[0],I(),be();break;case w.l10n.amPM[1].charAt(0):case w.l10n.amPM[1].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[1],I(),be()}(t||V(n))&&pe(\"onKeyDown\",e)}function ae(e){if(1===w.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var n=e?e.dateObj.getTime():w.days.firstElementChild.dateObj.getTime(),t=w.parseDate(w.selectedDates[0],void 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l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 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w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_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 w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void 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n.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.has_math_disabled()?this.model.text:this.process_tex()}}s.DivView=a,a.__name__=\"DivView\";class d extends n.Markup{constructor(e){super(e)}}s.Div=d,_=d,d.__name__=\"Div\",_.prototype.default_view=a,_.define((({Boolean:e})=>({render_as_text:[e,!1]})))},\n", " 464: function _(t,e,s,i,r){i();const a=t(1);var n;const o=t(210),d=t(43),h=t(137),l=t(508),_=(0,a.__importStar)(t(465));class u extends l.WidgetView{get provider(){return h.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>{this.contains_tex_string()&&this.rerender()}))}after_layout(){super.after_layout(),\"loading\"===this.provider.status&&(this._has_finished=!1)}rerender(){this.layout.invalidate_cache(),this.render(),this.root.compute_layout()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>{this.rerender()}))}styles(){return[...super.styles(),_.default]}_update_layout(){this.layout=new o.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const t=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=(0,d.div)({class:_.clearfix,style:t}),this.el.appendChild(this.markup_el),\"failed\"!=this.provider.status&&\"loaded\"!=this.provider.status||(this._has_finished=!0)}has_math_disabled(){return this.model.disable_math||!this.contains_tex_string()}process_tex(){if(!this.provider.MathJax)return this.model.text;const{text:t}=this.model,e=this.provider.MathJax.find_tex(t),s=[];let i=0;for(const r of e)s.push(t.slice(i,r.start.n)),s.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),i=r.end.n;return i0}}s.MarkupView=u,u.__name__=\"MarkupView\";class p extends l.Widget{constructor(t){super(t)}}s.Markup=p,n=p,p.__name__=\"Markup\",n.define((({Boolean:t,String:e,Dict:s})=>({text:[e,\"\"],style:[s(e),{}],disable_math:[t,!1]})))},\n", " 465: function _(o,r,e,t,a){t(),e.root=\"bk-root\",e.clearfix=\"bk-clearfix\",e.default='.bk-root .bk-clearfix:before,.bk-root .bk-clearfix:after{content:\"\";display:table;}.bk-root .bk-clearfix:after{clear:both;}'},\n", " 466: function _(e,t,i,n,s){n();const o=e(1);var l;const r=e(438),d=e(251),_=e(43),u=e(8),c=(0,o.__importStar)(e(318)),h=(0,o.__importStar)(e(229)),m=h;class p extends r.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=(0,_.div)({class:[m.caret,m.down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(c.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(0,_.div)({class:m.divider});{const i=(0,u.isString)(e)?e:e[0],n=(0,_.div)(i);return n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=(0,_.div)({class:[m.menu,m.below]},t),this.el.appendChild(this.menu),(0,_.undisplay)(this.menu)}_show_menu(){if(!this._open){this._open=!0,(0,_.display)(this.menu);const e=t=>{const{target:i}=t;i instanceof 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a=e(43),o=e(508);class d extends o.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}render(){const{multiple:e,accept:l,disabled:i,width:t}=this.model;null==this.dialog_el&&(this.dialog_el=(0,a.input)({type:\"file\",multiple:e}),this.dialog_el.onchange=()=>{const{files:e}=this.dialog_el;null!=e&&this.load_files(e)},this.el.appendChild(this.dialog_el)),null!=l&&\"\"!=l&&(this.dialog_el.accept=l),this.dialog_el.style.width=`${t}px`,this.dialog_el.disabled=i}async load_files(e){const l=[],i=[],t=[];for(const s of e){const e=await this._read_file(s),[,n=\"\",,a=\"\"]=e.split(/[:;,]/,4);l.push(a),i.push(s.name),t.push(n)}this.model.multiple?this.model.setv({value:l,filename:i,mime_type:t}):this.model.setv({value:l[0],filename:i[0],mime_type:t[0]})}_read_file(e){return new Promise(((l,i)=>{const t=new FileReader;t.onload=()=>{var s;const{result:n}=t;null!=n?l(n):i(null!==(s=t.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},t.readAsDataURL(e)}))}}i.FileInputView=d,d.__name__=\"FileInputView\";class r extends o.Widget{constructor(e){super(e)}}i.FileInput=r,n=r,r.__name__=\"FileInput\",n.prototype.default_view=d,n.define((({Boolean:e,String:l,Array:i,Or:t})=>({value:[t(l,i(l)),\"\"],mime_type:[t(l,i(l)),\"\"],filename:[t(l,i(l)),\"\"],accept:[l,\"\"],multiple:[e,!1]})))},\n", " 468: function _(e,t,i,s,n){s();const l=e(1);var o;const r=e(43),c=e(8),h=e(445),p=(0,l.__importStar)(e(446));class d extends h.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,i;return(0,c.isString)(e)?t=i=e:[t,i]=e,(0,r.option)({value:t},i)}));this.input_el=(0,r.select)({multiple:!0,class:p.input,name:this.model.name,disabled:this.model.disabled},e),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of 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p.Markup{constructor(e){super(e)}}r.Paragraph=h,n=h,h.__name__=\"Paragraph\",n.prototype.default_view=i},\n", " 470: function _(e,s,t,n,r){var p;n();const u=e(443);class a extends u.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}t.PasswordInputView=a,a.__name__=\"PasswordInputView\";class o extends u.TextInput{constructor(e){super(e)}}t.PasswordInput=o,p=o,o.__name__=\"PasswordInput\",p.prototype.default_view=a},\n", " 471: function _(e,t,i,l,s){l();const o=e(1);var n;const h=(0,o.__importDefault)(e(472)),a=e(43),u=e(8),c=e(210),d=(0,o.__importStar)(e(446)),_=(0,o.__importDefault)(e(473)),r=e(445);class m extends r.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()));const{value:e,max_items:t,option_limit:i,delete_button:l,placeholder:s,options:o,name:n,title:h}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h],(()=>this.render()))}styles(){return[...super.styles(),_.default]}_update_layout(){this.layout=new c.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=(0,a.select)({multiple:!0,class:d.input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el);const e=new Set(this.model.value),t=this.model.options.map((t=>{let i,l;return(0,u.isString)(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}})),i=this.model.solid?\"solid\":\"light\",l=`choices__item ${i}`,s=`choices__button 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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 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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),a&&n(t,a),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=\"text\",oe=\"select-one\",ae=\"select-multiple\",ce=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\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),this.type===oe&&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 le(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 de(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}},be=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ye=function(e,t){return{type:$,id:e,highlighted:t}},Ee=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}},Ie=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function Se(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ye(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(ye(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(be(!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(be(!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(be(!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,p=\"[data-choice-selectable]\";if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(p);else{var m=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=m?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}}(m,p,d):this.dropdown.element.querySelector(p)}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(we&&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(Ee({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(Ee({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{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value})),this.connect(this.model.properties.low.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&e{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&e>l&&(this.model.value=l)})),this.connect(this.model.properties.high.change,(()=>this.input_el.placeholder=this.model.placeholder)),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))}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",(()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}}))}render(){super.render(),this.input_el=(0,r.input)({type:\"text\",class:_.input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.input_el.addEventListener(\"focusout\",(()=>this.input_el.value=this.format_value)),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter((e=>m.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>c.test(e)))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!=this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=v,v.__name__=\"NumericInputView\";class g extends o.InputWidget{constructor(e){super(e)}_formatter(e,t){return(0,d.isString)(t)?h.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=g,u=g,g.__name__=\"NumericInput\",u.prototype.default_view=v,u.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(a.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))},\n", " 475: function _(e,t,r,s,n){var a;s();const o=e(464),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n", " 476: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(449),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n", " 477: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(452),r=(0,s.__importStar)(e(446));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;athis.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==i&&(s.checked=!0);const l=(0,o.label)(s,(0,o.span)(t[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}i.RadioGroupView=u,u.__name__=\"RadioGroupView\";class c extends p.InputGroup{constructor(e){super(e)}}i.RadioGroup=c,l=c,c.__name__=\"RadioGroup\",l.prototype.default_view=u,l.define((({Boolean:e,Int:n,String:i,Array:t,Nullable:a})=>({active:[a(n),null],labels:[t(i),[]],inline:[e,!1]})))},\n", " 478: function _(e,r,t,a,i){a();var n;const o=(0,e(1).__importStar)(e(153)),s=e(458),_=e(8);class d extends s.AbstractRangeSliderView{}t.RangeSliderView=d,d.__name__=\"RangeSliderView\";class c extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,r){return(0,_.isString)(r)?o.format(e,r):r.compute(e)}}t.RangeSlider=c,n=c,c.__name__=\"RangeSlider\",n.prototype.default_view=d,n.override({format:\"0[.]00\"})},\n", " 479: function _(e,t,n,s,i){s();const l=e(1);var u;const a=e(43),o=e(8),p=e(13),_=e(445),r=(0,l.__importStar)(e(446));class c extends _.InputWidgetView{constructor(){super(...arguments),this._known_values=new Set}connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,(()=>{this._update_value()})),this.on_change(t,(()=>{(0,a.empty)(this.input_el),(0,a.append)(this.input_el,...this.options_el()),this._update_value()}))}options_el(){const{_known_values:e}=this;function t(t){return t.map((t=>{let n,s;return(0,o.isString)(t)?n=s=t:[n,s]=t,e.add(n),(0,a.option)({value:n},s)}))}e.clear();const{options:n}=this.model;return(0,o.isArray)(n)?t(n):(0,p.entries)(n).map((([e,n])=>(0,a.optgroup)({label:e},t(n))))}render(){super.render(),this.input_el=(0,a.select)({class:r.input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;this._known_values.has(e)?this.input_el.value=e:this.input_el.removeAttribute(\"value\")}}n.SelectView=c,c.__name__=\"SelectView\";class h extends _.InputWidget{constructor(e){super(e)}}n.Select=h,u=h,h.__name__=\"Select\",u.prototype.default_view=c,u.define((({String:e,Array:t,Tuple:n,Dict:s,Or:i})=>{const l=t(i(e,n(e,e)));return{value:[e,\"\"],options:[i(l,s(l)),[]]}}))},\n", " 480: function _(e,t,r,i,a){i();var o;const s=(0,e(1).__importStar)(e(153)),_=e(458),n=e(8);class c extends _.AbstractSliderView{}r.SliderView=c,c.__name__=\"SliderView\";class d extends _.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,n.isString)(t)?s.format(e,t):t.compute(e)}}r.Slider=d,o=d,d.__name__=\"Slider\",o.prototype.default_view=c,o.override({format:\"0[.]00\"})},\n", " 481: function _(e,t,i,n,s){var l;n();const o=e(474),r=e(43),{min:a,max:h,floor:_,abs:u}=Math;function d(e){return _(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends o.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._handles={interval:void 0,timeout:void 0},this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,(()=>{for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=(0,r.div)({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",(e=>this._btn_mouse_down(e))),e.addEventListener(\"mouseup\",(()=>this._btn_mouse_up())),e.addEventListener(\"mouseleave\",(()=>this._btn_mouse_leave()));this.input_el.addEventListener(\"keydown\",(e=>this._input_key_down(e))),this.input_el.addEventListener(\"keyup\",(()=>this.model.value_throttled=this.model.value)),this.input_el.addEventListener(\"wheel\",(e=>this._input_mouse_wheel(e))),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,o=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),o&&e.apply(l,s)}}((()=>{this.model.value_throttled=this.model.value}),this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model,n=d;return h(n(u(null!=e?e:0)),n(u(null!=t?t:0)),n(u(i)))}remove(){this._stop_incrementation(),super.remove()}_start_incrementation(e){clearInterval(this._handles.interval),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(e)),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(2*e)),this._interval/10))}this.increment(e)};this._handles.interval=setInterval((()=>i(e*t)),this._interval)}_stop_incrementation(){clearTimeout(this._handles.timeout),this._handles.timeout=void 0,clearInterval(this._handles.interval),this._handles.interval=void 0,this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._handles.timeout=setTimeout((()=>this._start_incrementation(t)),this._interval)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?a(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?h(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class m extends o.NumericInput{constructor(e){super(e)}}i.Spinner=m,l=m,m.__name__=\"Spinner\",l.prototype.default_view=p,l.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),l.override({mode:\"float\"})},\n", " 482: function _(e,t,s,n,i){n();const o=e(1);var r;const c=e(444),l=e(43),p=(0,o.__importStar)(e(446));class _ extends c.TextLikeInputView{connect_signals(){super.connect_signals(),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))}_render_input(){this.input_el=(0,l.textarea)({class:p.input})}render(){super.render(),this.input_el.cols=this.model.cols,this.input_el.rows=this.model.rows}}s.TextAreaInputView=_,_.__name__=\"TextAreaInputView\";class a extends c.TextLikeInput{constructor(e){super(e)}}s.TextAreaInput=a,r=a,a.__name__=\"TextAreaInput\",r.prototype.default_view=_,r.define((({Int:e})=>({cols:[e,20],rows:[e,2]}))),r.override({max_length:500})},\n", " 483: function _(e,t,s,c,i){c();const o=e(1);var a;const n=e(438),l=e(43),_=(0,o.__importStar)(e(318));class r extends n.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(){(0,l.classes)(this.button_el).toggle(_.active,this.model.active)}}s.ToggleView=r,r.__name__=\"ToggleView\";class g extends n.AbstractButton{constructor(e){super(e)}}s.Toggle=g,a=g,g.__name__=\"Toggle\",a.prototype.default_view=r,a.define((({Boolean:e})=>({active:[e,!1]}))),a.override({label:\"Toggle\"})},\n", " }, 436, {\"models/widgets/main\":436,\"models/widgets/index\":437,\"models/widgets/abstract_button\":438,\"models/widgets/control\":439,\"models/widgets/widget\":508,\"models/widgets/abstract_icon\":441,\"models/widgets/autocomplete_input\":442,\"models/widgets/text_input\":443,\"models/widgets/text_like_input\":444,\"models/widgets/input_widget\":445,\"styles/widgets/inputs.css\":446,\"models/widgets/button\":447,\"models/widgets/checkbox_button_group\":448,\"models/widgets/button_group\":449,\"models/widgets/oriented_control\":450,\"models/widgets/checkbox_group\":451,\"models/widgets/input_group\":452,\"models/widgets/color_picker\":453,\"models/widgets/date_picker\":454,\"styles/widgets/flatpickr.css\":456,\"models/widgets/date_range_slider\":457,\"models/widgets/abstract_slider\":458,\"styles/widgets/sliders.css\":460,\"styles/widgets/nouislider.css\":461,\"models/widgets/date_slider\":462,\"models/widgets/div\":463,\"models/widgets/markup\":464,\"styles/clearfix.css\":465,\"models/widgets/dropdown\":466,\"models/widgets/file_input\":467,\"models/widgets/multiselect\":468,\"models/widgets/paragraph\":469,\"models/widgets/password_input\":470,\"models/widgets/multichoice\":471,\"styles/widgets/choices.css\":473,\"models/widgets/numeric_input\":474,\"models/widgets/pretext\":475,\"models/widgets/radio_button_group\":476,\"models/widgets/radio_group\":477,\"models/widgets/range_slider\":478,\"models/widgets/selectbox\":479,\"models/widgets/slider\":480,\"models/widgets/spinner\":481,\"models/widgets/textarea_input\":482,\"models/widgets/toggle\":483}, {});});\n", "\n", " /* END bokeh-widgets.min.js */\n", " },\n", " \n", " function(Bokeh) {\n", " /* BEGIN bokeh-tables.min.js */\n", " /*!\n", " * Copyright (c) 2012 - 2021, 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\"], \"2.4.0\");\n", " })(this, function(Bokeh, version) {\n", " let define;\n", " return (function(modules, entry, aliases, externals) {\n", " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", " if (bokeh != null) {\n", " return bokeh.register_plugin(modules, entry, aliases);\n", " } else {\n", " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", " }\n", " })\n", " ({\n", " 484: function _(t,e,o,r,s){r();const _=(0,t(1).__importStar)(t(485));o.Tables=_;(0,t(7).register_models)(_)},\n", " 485: function _(g,a,r,e,t){e();const o=g(1);(0,o.__exportStar)(g(486),r),(0,o.__exportStar)(g(489),r),t(\"DataTable\",g(492).DataTable),t(\"TableColumn\",g(510).TableColumn),t(\"TableWidget\",g(509).TableWidget);var n=g(512);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(513);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n", " 486: function _(e,t,i,s,a){s();const r=e(1);var l,n,u,d,o,p,_,c,h;const E=e(43),V=e(226),m=e(53),f=e(487),v=(0,r.__importStar)(e(488));class w extends V.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(v.cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",(e=>{switch(e.keyCode){case E.Keys.Left:case E.Keys.Right:case E.Keys.Up:case E.Keys.Down:case E.Keys.PageUp:case E.Keys.PageDown:e.stopImmediatePropagation()}}))}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[f.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=w,w.__name__=\"CellEditorView\";class g extends m.Model{}i.CellEditor=g,g.__name__=\"CellEditor\";class x extends w{get emptyValue(){return\"\"}_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=x,x.__name__=\"StringEditorView\";class y extends g{}i.StringEditor=y,l=y,y.__name__=\"StringEditor\",l.prototype.default_view=x,l.define((({String:e,Array:t})=>({completions:[t(e),[]]})));class I extends w{_createInput(){return(0,E.textarea)()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=I,I.__name__=\"TextEditorView\";class b extends g{}i.TextEditor=b,n=b,b.__name__=\"TextEditor\",n.prototype.default_view=I;class N extends w{_createInput(){return(0,E.select)()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild((0,E.option)({value:e},e));this.focus()}}i.SelectEditorView=N,N.__name__=\"SelectEditorView\";class C extends g{}i.SelectEditor=C,u=C,C.__name__=\"SelectEditor\",u.prototype.default_view=N,u.define((({String:e,Array:t})=>({options:[t(e),[]]})));class D extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.PercentEditorView=D,D.__name__=\"PercentEditorView\";class S extends g{}i.PercentEditor=S,d=S,S.__name__=\"PercentEditor\",d.prototype.default_view=D;class k extends w{_createInput(){return(0,E.input)({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=k,k.__name__=\"CheckboxEditorView\";class z extends g{}i.CheckboxEditor=z,o=z,z.__name__=\"CheckboxEditor\",o.prototype.default_view=k;class P extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=P,P.__name__=\"IntEditorView\";class T extends g{}i.IntEditor=T,p=T,T.__name__=\"IntEditor\",p.prototype.default_view=P,p.define((({Int:e})=>({step:[e,1]})));class K extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=K,K.__name__=\"NumberEditorView\";class A extends g{}i.NumberEditor=A,_=A,A.__name__=\"NumberEditor\",_.prototype.default_view=K,_.define((({Number:e})=>({step:[e,.01]})));class M extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.TimeEditorView=M,M.__name__=\"TimeEditorView\";class O extends g{}i.TimeEditor=O,c=O,O.__name__=\"TimeEditor\",c.prototype.default_view=M;class F extends 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