{ "cells": [ { "cell_type": "markdown", "id": "ec73b9bc-905f-44af-b110-e88812d17a0f", "metadata": {}, "source": [ "# Cell Co-occurrence" ] }, { "cell_type": "markdown", "id": "d67b5e42", "metadata": {}, "source": [ "Cell co-occurrence refers to the occurrence, spatial relationship, of two or more cell types in close proximity in the same tissue region. The algorithm aims to identify and quantify the interactions or associations between different cell types in order to understand their spatial organization and potential functional relationships [[Fang23]](https://doi.org/10.1101/2023.12.04.569485)." ] }, { "cell_type": "markdown", "id": "5216a796-7415-4f7b-9836-bc760a1f5c67", "metadata": {}, "source": [ "## Clustering on cells" ] }, { "cell_type": "markdown", "id": "72e2e9dd", "metadata": {}, "source": [ "Download [example data](http://116.6.21.110:8090/share/3ca60300-e8bd-4d67-8b68-14267e428523), and complete basic analysis processing." ] }, { "cell_type": "code", "execution_count": 1, "id": "36d5e48d-bbd2-4c56-9064-4d2237e8fbae", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T08:33:31.639389Z", "iopub.status.busy": "2023-11-13T08:33:31.638642Z", "iopub.status.idle": "2023-11-13T08:33:56.337033Z", "shell.execute_reply": "2023-11-13T08:33:56.335751Z", "shell.execute_reply.started": "2023-11-13T08:33:31.639347Z" }, "tags": [] }, "outputs": [ { "data": { "application/javascript": "(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\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': {'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@4.2.5/dist/gridstack-h5', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'gridstack': {'exports': 'GridStack'}}});\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 2;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.jsdelivr.net/npm/gridstack@4.2.5/dist/gridstack-h5.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.jsdelivr.net/npm/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\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) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\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 = [\"https://cdn.jsdelivr.net/npm/notyf@3/notyf.min.js\"];\n var js_modules = [];\n var css_urls = [\"https://cdn.jsdelivr.net/npm/notyf@3/notyf.min.css\", \"https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/css/all.min.css\"];\n var inline_js = [ 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 overflow-wrap: break-word;\\n text-align: center;\\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 }, function(Bokeh) {\n inject_raw_css(\".bk.debugger-card {\\n border: 1px solid rgba(0,0,0,1);\\n color: rgba(255,255,255,1);\\n background-color: rgba(0,0,0,1);\\n border-radius: 0rem;\\n}\\n.bk.debugger-card-header {\\n align-items: center;\\n text-align: left;\\n background-color: rgba(0, 0, 0, 1)!important;\\n color: rgba(255, 255, 255, 1);\\n border-radius: 0rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.debugger-card-button {\\n background-color: transparent;\\n color: rgba(255, 255, 255, 1);\\n margin-left: 0.5em;\\n}\\n.bk.debugger-card-title {\\n align-items: center;\\n text-align: left;\\n color: rgba(255, 255, 255, 1);\\n font-size: 1em;\\n overflow-wrap: break-word;\\n}\\n\\n/* Special debugger buttons for clearing and saving */\\n.bk button.special_btn {\\n width: 25px;\\n height: 25px;\\n background-color: black;\\n color: white;\\n display: inline-block;\\n}\\n\\n\\n.bk button.special_btn .tooltiptext {\\n visibility: hidden;\\n width: 100px;\\n background-color: darkgray;\\n color: #fff;\\n text-align: center;\\n border-radius: 6px;\\n padding: 5px 0;\\n\\n /* Position the tooltip */\\n position: relative;\\n z-index: 1;\\n top: 100%;\\n left: 100%;\\n margin-left: -100px;\\n display: block;\\n}\\n\\n.bk button.special_btn:hover .tooltiptext {\\n visibility: visible;\\n}\\n\\n\\n\\n.bk button.clear_btn:hover .shown { display: none;}\\n.bk button.clear_btn:hover:before { content: \\\"\\u2611\\\"; }\\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 }, 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.ql-bubble .ql-editor {\\n border: 1px solid #ccc;\\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 }, 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 }, 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(\"\\n .bk.pn-loading.arcs:before {\\n background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n background-size: auto calc(min(50%, 400px));\\n }\\n \");\n }, function(Bokeh) {\n /* BEGIN bokeh.min.js */\n /*!\n * Copyright (c) 2012 - 2022, 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] = plugin[name];\n }\n\n return plugin;\n }\n\n return main;\n })\n ([\n function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(2),n)},\n function _(t,e,r,n,o){n();var a=function(t,e){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},a(t,e)};r.__extends=function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}a(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)};function i(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")}function c(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,a=r.call(t),i=[];try{for(;(void 0===e||e-- >0)&&!(n=a.next()).done;)i.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=a.return)&&r.call(a)}finally{if(o)throw o.error}}return i}function u(t){return this instanceof u?(this.v=t,this):new u(t)}r.__assign=function(){return r.__assign=Object.assign||function(t){for(var e,r=1,n=arguments.length;r=0;c--)(o=t[c])&&(i=(a<3?o(i):a>3?o(e,r,i):o(e,r))||i);return a>3&&i&&Object.defineProperty(e,r,i),i},r.__param=function(t,e){return function(r,n){e(r,n,t)}},r.__metadata=function(t,e){if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.metadata)return Reflect.metadata(t,e)},r.__awaiter=function(t,e,r,n){return new(r||(r=Promise))((function(o,a){function i(t){try{u(n.next(t))}catch(t){a(t)}}function c(t){try{u(n.throw(t))}catch(t){a(t)}}function u(t){var e;t.done?o(t.value):(e=t.value,e instanceof r?e:new r((function(t){t(e)}))).then(i,c)}u((n=n.apply(t,e||[])).next())}))},r.__generator=function(t,e){var r,n,o,a,i={label:0,sent:function(){if(1&o[0])throw o[1];return o[1]},trys:[],ops:[]};return a={next:c(0),throw:c(1),return:c(2)},\"function\"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function c(a){return function(c){return function(a){if(r)throw new TypeError(\"Generator is already executing.\");for(;i;)try{if(r=1,n&&(o=2&a[0]?n.return:a[0]?n.throw||((o=n.return)&&o.call(n),0):n.next)&&!(o=o.call(n,a[1])).done)return o;switch(n=0,o&&(a=[2&a[0],o.value]),a[0]){case 0:case 1:o=a;break;case 4:return i.label++,{value:a[1],done:!1};case 5:i.label++,n=a[1],a=[0];continue;case 7:a=i.ops.pop(),i.trys.pop();continue;default:if(!(o=i.trys,(o=o.length>0&&o[o.length-1])||6!==a[0]&&2!==a[0])){i=0;continue}if(3===a[0]&&(!o||a[1]>o[0]&&a[1]1||c(t,e)}))})}function c(t,e){try{(r=o[t](e)).value instanceof u?Promise.resolve(r.value.v).then(f,l):s(a[0][2],r)}catch(t){s(a[0][3],t)}var r}function f(t){c(\"next\",t)}function l(t){c(\"throw\",t)}function s(t,e){t(e),a.shift(),a.length&&c(a[0][0],a[0][1])}},r.__asyncDelegator=function(t){var e,r;return e={},n(\"next\"),n(\"throw\",(function(t){throw t})),n(\"return\"),e[Symbol.iterator]=function(){return this},e;function n(n,o){e[n]=t[n]?function(e){return(r=!r)?{value:u(t[n](e)),done:\"return\"===n}:o?o(e):e}:o}},r.__asyncValues=function(t){if(!Symbol.asyncIterator)throw new TypeError(\"Symbol.asyncIterator is not defined.\");var e,r=t[Symbol.asyncIterator];return r?r.call(t):(t=i(t),e={},n(\"next\"),n(\"throw\"),n(\"return\"),e[Symbol.asyncIterator]=function(){return this},e);function n(r){e[r]=t[r]&&function(e){return new Promise((function(n,o){(function(t,e,r,n){Promise.resolve(n).then((function(e){t({value:e,done:r})}),e)})(n,o,(e=t[r](e)).done,e.value)}))}}},r.__makeTemplateObject=function(t,e){return Object.defineProperty?Object.defineProperty(t,\"raw\",{value:e}):t.raw=e,t};var f=Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e};r.__importStar=function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var n in t)\"default\"!==n&&Object.prototype.hasOwnProperty.call(t,n)&&(0,r.__createBinding)(e,t,n);return f(e,t),e},r.__importDefault=function(t){return t&&t.__esModule?t:{default:t}},r.__classPrivateFieldGet=function(t,e,r,n){if(\"a\"===r&&!n)throw new TypeError(\"Private accessor was defined without a getter\");if(\"function\"==typeof e?t!==e||!n:!e.has(t))throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");return\"m\"===r?n:\"a\"===r?n.call(t):n?n.value:e.get(t)},r.__classPrivateFieldSet=function(t,e,r,n,o){if(\"m\"===n)throw new TypeError(\"Private method is not writable\");if(\"a\"===n&&!o)throw new TypeError(\"Private accessor was defined without a setter\");if(\"function\"==typeof e?t!==e||!o:!e.has(t))throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");return\"a\"===n?o.call(t,r):o?o.value=r:e.set(t,r),r}},\n function _(e,t,o,s,l){s();const n=e(1);l(\"version\",e(3).version),l(\"index\",e(4).index),o.embed=(0,n.__importStar)(e(4)),o.protocol=(0,n.__importStar)(e(406)),o._testing=(0,n.__importStar)(e(407));var r=e(19);l(\"logger\",r.logger),l(\"set_log_level\",r.set_log_level),l(\"settings\",e(28).settings),l(\"Models\",e(7).Models),l(\"documents\",e(5).documents),l(\"safely\",e(408).safely)},\n function _(n,i,o,c,e){c(),o.version=\"2.4.3\"},\n function _(e,o,t,n,s){n();const d=e(5),r=e(19),_=e(34),c=e(13),i=e(8),a=e(16),u=e(397),l=e(399),m=e(398);var f=e(397);s(\"add_document_standalone\",f.add_document_standalone),s(\"index\",f.index),s(\"add_document_from_session\",e(399).add_document_from_session);var g=e(404);async function w(e,o,t,n){(0,i.isString)(e)&&(e=JSON.parse((0,_.unescape)(e)));const s={};for(const[o,t]of(0,c.entries)(e))s[o]=d.Document.from_json(t);const a=[];for(const e of o){const o=(0,m._resolve_element)(e),d=(0,m._resolve_root_elements)(e);if(null!=e.docid)a.push(await(0,u.add_document_standalone)(s[e.docid],o,d,e.use_for_title));else{if(null==e.token)throw new Error(\"Error rendering Bokeh items: either 'docid' or 'token' was expected.\");{const s=(0,l._get_ws_url)(t,n);r.logger.debug(`embed: computed ws url: ${s}`);try{a.push(await(0,l.add_document_from_session)(s,e.token,o,d,e.use_for_title)),console.log(\"Bokeh items were rendered successfully\")}catch(e){console.log(\"Error rendering Bokeh items:\",e)}}}}return a}s(\"embed_items_notebook\",g.embed_items_notebook),s(\"kernels\",g.kernels),s(\"BOKEH_ROOT\",e(398).BOKEH_ROOT),t.embed_item=async function(e,o){const t={},n=(0,_.uuid4)();t[n]=e.doc,null==o&&(o=e.target_id);const s=document.getElementById(o);null!=s&&s.classList.add(m.BOKEH_ROOT);const 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),_=e(19),a=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),z=e(35);class S{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new z.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=S,S.__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 S(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&&(_.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.event_manager.send_event(new a.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 a.LODStart)),this._interactive_finalize=t,this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&(this._interactive_plot.trigger_event(new a.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(){_.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(_.logger.debug(`Adding root: ${e}`),!(0,g.includes)(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new z.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof M.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${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 z.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new z.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 _=t.get(e);null==_&&(_=E._instantiate_object(e,r,l,s),null!=i.subtype&&_.set_subtype(i.subtype)),n.set(_.id,_)}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),_=E._resolve_refs(r,t,s,o);l.setv(_,{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),a=(0,g.intersection)(n,i),c=[];for(const e of r)_.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(E._event_for_attribute_change(e,n,i,s,o))}for(const n of a){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(E._event_for_attribute_change(e,n,r,s,o)):\"data\"==n||(0,w.is_equal)(i,r)||c.push(E._event_for_attribute_change(e,n,r,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),_=new Map,a=[];for(const e of s.roots.root_ids)_.set(e,l.get(e)),a.push(e);if(r.sort(),a.sort(),(0,g.difference)(r,a).length>0||(0,g.difference)(a,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){_.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?_.logger.debug(o):(_.logger.warn(\"JS/Python version mismatch\"),_.logger.warn(o));const n=new r.ModelResolver;null!=e.defs&&(0,j.resolve_defs)(e.defs,n);const i=e.roots,a=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});h._push_all_models_freeze();for(const e of a){const t=d.get(e);null!=t&&h.add_root(t)}return h._pop_all_models_freeze(),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 _.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,_=E._resolve_refs(e.new,r,l,t);n.setv({[i]:_},{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. This could be due to a widget or a custom model not being registered before first usage.`)}register(e){const o=e.__qualified__;null==this.get(o,null)?this._known_models.set(o,e):console.warn(`Model '${o}' was already registered with this resolver`)}}s.ModelResolver=_,_.__name__=\"ModelResolver\";const g=(0,l.__importStar)(e(38));(0,s.register_models)(g);const u=(0,l.__importStar)(e(392));(0,s.register_models)(u)},\n function _(n,t,r,e,i){e();\n // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n // Underscore may be freely distributed under the MIT license.\n const o=n(9),u=Object.prototype.toString;function c(n){return!0===n||!1===n||\"[object Boolean]\"===u.call(n)}function f(n){return\"[object Number]\"===u.call(n)}function l(n){return\"[object String]\"===u.call(n)}function s(n){return\"symbol\"==typeof n}function a(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}function b(n){return a(n)&&void 0!==n[Symbol.iterator]}r.isBoolean=c,r.isNumber=f,r.isInteger=function(n){return f(n)&&Number.isInteger(n)},r.isString=l,r.isSymbol=s,r.isPrimitive=function(n){return null===n||c(n)||f(n)||l(n)||s(n)},r.isFunction=function(n){return\"[object Function]\"===u.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return(0,o.every)(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r0,\"'step' must be a positive number\"),null==t&&(t=n,n=0);const{max:r,ceil:o,abs:i}=Math,c=n<=t?e:-e,f=r(o(i(t-n)/e),0),s=new Array(f);for(let t=0;t=0?t:n.length+t]},e.zip=function(...n){if(0==n.length)return[];const t=(0,c.min)(n.map((n=>n.length))),e=n.length,r=new Array(t);for(let o=0;on.length))),r=Array(e);for(let n=0;nn[t]))},e.argmax=function(n){return(0,c.max_by)(m(n.length),(t=>n[t]))},e.sort_by=function(n,t){const e=n.map(((n,e)=>({value:n,index:e,key:t(n)})));return e.sort(((n,t)=>{const e=n.key,r=t.key;if(e!==r){if(e>r||void 0===e)return 1;if(en.value))},e.uniq=function(n){const t=new Set;for(const e of n)t.add(e);return[...t]},e.uniq_by=function(n,t){const e=[],r=[];for(const o of n){const n=t(o);l(r,n)||(r.push(n),e.push(o))}return e},e.union=function(...n){const t=new Set;for(const e of n)for(const n of e)t.add(n);return[...t]},e.intersection=function(n,...t){const e=[];n:for(const r of n)if(!l(e,r)){for(const n of t)if(!l(n,r))continue n;e.push(r)}return e},e.difference=function(n,...t){const e=a(t);return n.filter((n=>!l(e,n)))},e.remove_at=function(n,t){const e=s(n);return e.splice(t,1),e},e.remove_by=function(n,t){for(let e=0;e2*a;)n-=2*a;return n}function c(n,t){return u(n-t)}function f(){return Math.random()}function i(n){switch(n){case\"deg\":return a/180;case\"rad\":return 1;case\"grad\":return a/200;case\"turn\":return 2*a}}r.angle_norm=u,r.angle_dist=c,r.angle_between=function(n,t,r,e=!1){const o=c(t,r);if(0==o)return!1;if(o==2*a)return!0;const f=u(n),i=c(t,f)<=o&&c(f,r)<=o;return e?!i:i},r.random=f,r.randomIn=function(n,t){return null==t&&(t=n,n=0),n+Math.floor(Math.random()*(t-n+1))},r.atan2=function(n,t){return Math.atan2(t[1]-n[1],t[0]-n[0])},r.radians=function(n){return n*(a/180)},r.degrees=function(n){return n/(a/180)},r.resolve_angle=function(n,t){return-i(t)*n},r.to_radians_coeff=i,r.rnorm=function(n,t){let r,e;for(;r=f(),e=f(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*r*r*Math.log(r)>=e*e););let o=e/r;return o=n+t*o,o},r.clamp=function(n,t,r){return nr?r:n},r.log=function(n,t=Math.E){return Math.log(n)/Math.log(t)},r.float32_epsilon=1.1920928955078125e-7},\n function _(r,n,e,o,s){o();class t extends Error{}e.AssertionError=t,t.__name__=\"AssertionError\",e.assert=function(r,n){if(!(!0===r||!1!==r&&r()))throw new t(null!=n?n:\"Assertion failed\")},e.unreachable=function(){throw new Error(\"unreachable code\")}},\n function _(n,t,e,r,o){r();const i=n(10);function l(n,t,e,...r){const o=n.length;t<0&&(t+=o),t<0?t=0:t>o&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const i=o-e+r.length,l=new n.constructor(i);let u=0;for(;u0?0:r-1;for(;o>=0&&ot[t.length-1])return t.length;let e=0,r=t.length-1;for(;r-e!=1;){const o=e+Math.floor((r-e)/2);n>=t[o]?e=o:r=o}return e}e.is_empty=function(n){return 0==n.length},e.copy=function(n){return Array.isArray(n)?n.slice():new n.constructor(n)},e.splice=l,e.head=u,e.insert=function(n,t,e){return l(n,e,0,t)},e.append=function(n,t){return l(n,n.length,0,t)},e.prepend=function(n,t){return l(n,0,0,t)},e.indexOf=function(n,t){for(let e=0,r=n.length;ee&&(e=t);return e},e.minmax=function(n){let t,e=1/0,r=-1/0;for(let o=0,i=n.length;or&&(r=t));return[e,r]},e.minmax2=function(n,t){let e,r,o=1/0,i=-1/0,l=1/0,u=-1/0;const c=Math.min(n.length,t.length);for(let f=0;fi&&(i=e),ru&&(u=r));return[o,i,l,u]},e.min_by=function(n,t){if(0==n.length)throw new Error(\"min_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,i=n.length;or&&(e=i,r=l)}return e},e.sum=function(n){let t=0;for(let e=0,r=n.length;et[r]=n+e),0),t},e.every=function(n,t){for(let e=0,r=n.length;e(n-t)/r))}},\n function _(t,e,n,c,o){c();const s=t(9),{hasOwnProperty:r}=Object.prototype;function i(t){return Object.keys(t).length}function u(t){return 0==i(t)}n.keys=Object.keys,n.values=Object.values,n.entries=Object.entries,n.extend=Object.assign,n.clone=function(t){return Object.assign({},t)},n.merge=function(t,e){const n=Object.create(Object.prototype),c=(0,s.concat)([Object.keys(t),Object.keys(e)]);for(const o of c){const c=r.call(t,o)?t[o]:[],i=r.call(e,o)?e[o]:[];n[o]=(0,s.union)(c,i)}return n},n.size=i,n.is_empty=u,n.isEmpty=u,n.to_object=function(t){const e={};for(const[n,c]of t)e[n]=c;return e}},\n function _(e,t,s,n,r){n();const i=e(1);var o;const c=e(15),a=e(17),_=(0,i.__importStar)(e(18)),h=(0,i.__importStar)(e(21)),u=e(34),l=e(13),f=e(8),p=e(26),d=e(30),g=e(35),y=e(26),v=e(36),m=e(37),b=(0,i.__importStar)(e(21));class w extends((0,c.Signalable)()){constructor(e={}){var t,s;super(),this._subtype=void 0,this.document=null,this.destroyed=new c.Signal0(this,\"destroyed\"),this.change=new c.Signal0(this,\"change\"),this.transformchange=new c.Signal0(this,\"transformchange\"),this.exprchange=new c.Signal0(this,\"exprchange\"),this.properties={},this._watchers=new WeakMap,this._pending=!1,this._changing=!1;const n=e instanceof Map?e.get.bind(e):t=>e[t];this.id=null!==(t=n(\"id\"))&&void 0!==t?t:(0,u.uniqueId)();for(const[e,{type:t,default_value:s,options:r}]of(0,l.entries)(this._props)){let i;t instanceof _.PropertyAlias?Object.defineProperty(this.properties,e,{get:()=>this.properties[t.attr],configurable:!1,enumerable:!1}):(i=t instanceof h.Kind?new _.PrimitiveProperty(this,e,t,s,n(e),r):new t(this,e,h.Any,s,n(e),r),this.properties[e]=i)}null!==(s=n(\"__deferred__\"))&&void 0!==s&&s||(this.finalize(),this.connect_signals())}get is_syncable(){return!0}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:e,__name__:t}=this;return null!=e?`${e}.${t}`:t}static get[Symbol.toStringTag](){return this.__name__}static _fix_default(e,t){if(void 0===e||(0,f.isFunction)(e))return e;if((0,f.isPrimitive)(e))return()=>e;{const t=new m.Cloner;return()=>t.clone(e)}}static define(e){for(const[t,s]of(0,l.entries)((0,f.isFunction)(e)?e(b):e)){if(null!=this.prototype._props[t])throw new Error(`attempted to redefine property '${this.prototype.type}.${t}'`);if(null!=this.prototype[t])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${t}'`);Object.defineProperty(this.prototype,t,{get(){return this.properties[t].get_value()},set(e){return this.setv({[t]:e}),this},configurable:!1,enumerable:!0});const[e,n,r={}]=s,i={type:e,default_value:this._fix_default(n,t),options:r},o=Object.assign({},this.prototype._props);o[t]=i,this.prototype._props=o}}static internal(e){const t={};for(const[s,n]of(0,l.entries)((0,f.isFunction)(e)?e(b):e)){const[e,r,i={}]=n;t[s]=[e,r,Object.assign(Object.assign({},i),{internal:!0})]}this.define(t)}static mixins(e){function t(e,t){const s={};for(const[n,r]of(0,l.entries)(t))s[e+n]=r;return s}const s={},n=[];for(const r of(0,f.isArray)(e)?e:[e])if((0,f.isArray)(r)){const[e,i]=r;(0,l.extend)(s,t(e,i)),n.push([e,i])}else{const e=r;(0,l.extend)(s,e),n.push([\"\",e])}this.define(s),this.prototype._mixins=[...this.prototype._mixins,...n]}static override(e){for(const[t,s]of(0,l.entries)(e)){const e=this._fix_default(s,t),n=this.prototype._props[t];if(null==n)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const r=Object.assign({},this.prototype._props);r[t]=Object.assign(Object.assign({},n),{default_value:e}),this.prototype._props=r}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}[m.clone](e){const t=new Map;for(const s of this)s.dirty&&t.set(s.attr,e.clone(s.get_value()));return new this.constructor(t)}[y.equals](e,t){for(const s of this){const n=e.property(s.attr);if(!t.eq(s.get_value(),n.get_value()))return!1}return!0}[v.pretty](e){const t=e.token,s=[];for(const n of this)if(n.dirty){const r=n.get_value();s.push(`${n.attr}${t(\":\")} ${e.to_string(r)}`)}return`${this.constructor.__qualified__}${t(\"(\")}${t(\"{\")}${s.join(`${t(\",\")} `)}${t(\"}\")}${t(\")\")}`}[d.serialize](e){const t=this.ref();e.add_ref(this,t);const s=this.struct();for(const t of this)t.syncable&&(e.include_defaults||t.dirty)&&(s.attributes[t.attr]=e.to_serializable(t.get_value()));return e.add_def(this,s),t}finalize(){for(const e of this){if(!(e instanceof _.VectorSpec||e instanceof _.ScalarSpec))continue;const t=e.get_value();if(null!=t){const{transform:e,expr:s}=t;null!=e&&this.connect(e.change,(()=>this.transformchange.emit())),null!=s&&this.connect(s.change,(()=>this.exprchange.emit()))}}this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){c.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return(new m.Cloner).clone(this)}changed_for(e){const t=this._watchers.get(e);return this._watchers.set(e,!1),null==t||t}_setv(e,t){const s=t.check_eq,n=[],r=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&(0,p.is_equal)(t.get_value(),r)||(t.set_value(r),n.push(t));n.length>0&&(this._watchers=new WeakMap,this._pending=!0);for(const e of n)e.change.emit();if(!r){if(!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){const s=(0,l.entries)(e);if(0==s.length)return;if(!0===t.silent){this._watchers=new WeakMap;for(const[e,t]of s)this.properties[e].set_value(t);return}const n=new Map,r=new Map;for(const[e,t]of s){const s=this.properties[e];n.set(s,t),r.set(s,s.get_value())}this._setv(n,t);const{document:i}=this;if(null!=i){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){i._invalidate_all_models();break}this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){yield*(0,l.values)(this.properties)}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _json_record_references(e,t,s,n){const{recursive:r}=n;if((0,a.is_ref)(t)){const n=e.get_model_by_id(t.id);null==n||s.has(n)||w._value_record_references(n,s,{recursive:r})}else if((0,f.isArray)(t))for(const n of t)w._json_record_references(e,n,s,{recursive:r});else if((0,f.isPlainObject)(t))for(const n of(0,l.values)(t))w._json_record_references(e,n,s,{recursive:r})}static _value_record_references(e,t,s){const{recursive:n}=s;if(e instanceof w){if(!t.has(e)&&(t.add(e),n))for(const s of e.syncable_properties()){const e=s.get_value();w._value_record_references(e,t,{recursive:n})}}else if((0,f.isArray)(e))for(const s of e)w._value_record_references(s,t,{recursive:n});else if((0,f.isPlainObject)(e))for(const s of(0,l.values)(e))w._value_record_references(s,t,{recursive:n})}references(){const e=new Set;return w._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;w._value_record_references(t,s,{recursive:!1});const n=new Set;w._value_record_references(e,n,{recursive:!1});for(const e of s)if(!n.has(e))return!0;for(const e of n)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){if(!this.is_syncable)return;const{document:s}=this;if(null==s)return;const{setter_id:n}=t,r=[];for(const[t,i,o]of e)t.syncable&&r.push(new g.ModelChangedEvent(s,this,t.attr,i,o,n));if(0!=r.length){let e;1==r.length?[e]=r:e=new g.DocumentEventBatch(s,r,n),s._trigger_on_change(e)}}on_change(e,t){for(const s of(0,f.isArray)(e)?e:[e])this.connect(s.change,t)}}s.HasProps=w,(o=w).prototype._props={},o.prototype._mixins=[]},\n function _(n,t,e,l,s){l();const i=n(16),o=n(9);class c{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){u.has(this.sender)||u.set(this.sender,[]);const e=u.get(this.sender);if(null!=g(e,this,n,t))return!1;const l=null!=t?t:n;a.has(l)||a.set(l,[]);const s=a.get(l),i={signal:this,slot:n,context:t};return e.push(i),s.push(i),!0}disconnect(n,t=null){const e=u.get(this.sender);if(null==e||0===e.length)return!1;const l=g(e,this,n,t);if(null==l)return!1;const s=null!=t?t:n,i=a.get(s);return l.signal=null,d(e),d(i),!0}emit(n){var t;const e=null!==(t=u.get(this.sender))&&void 0!==t?t:[];for(const{signal:t,slot:l,context:s}of e)t===this&&l.call(s,n,this.sender)}}e.Signal=c,c.__name__=\"Signal\";class r extends c{emit(){super.emit(void 0)}}e.Signal0=r,r.__name__=\"Signal0\",function(n){function t(n,t){const e=u.get(n);if(null==e||0===e.length)return;const l=a.get(t);if(null!=l&&0!==l.length){for(const t of l){if(null==t.signal)return;t.signal.sender===n&&(t.signal=null)}d(e),d(l)}}function e(n){var t;const e=u.get(n);if(null!=e&&0!==e.length){for(const n of e){if(null==n.signal)return;const e=null!==(t=n.context)&&void 0!==t?t:n.slot;n.signal=null,d(a.get(e))}d(e)}}function l(n,t,e){const l=a.get(n);if(null!=l&&0!==l.length){for(const n of l){if(null==n.signal)return;if(null!=t&&n.slot!=t)continue;const l=n.signal.sender;null!=e&&e.has(l)||(n.signal=null,d(u.get(l)))}d(l)}}function s(n){const t=u.get(n);if(null!=t&&0!==t.length){for(const n of t)n.signal=null;d(t)}const e=a.get(n);if(null!=e&&0!==e.length){for(const n of e)n.signal=null;d(e)}}n.disconnect_between=t,n.disconnect_sender=e,n.disconnect_receiver=l,n.disconnect_all=s,n.disconnectBetween=t,n.disconnectSender=e,n.disconnectReceiver=l,n.disconnectAll=s}(c||(e.Signal=c={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const u=new WeakMap,a=new WeakMap;function g(n,t,e,l){return(0,o.find)(n,(n=>n.signal===t&&n.slot===e&&n.context===l))}const f=new Set;function d(n){0===f.size&&(async()=>{await(0,i.defer)(),function(){for(const n of f)(0,o.remove_by)(n,(n=>null==n.signal));f.clear()}()})(),f.add(n)}},\n function _(e,n,t,s,o){s();const r=new MessageChannel,a=new Map;r.port1.onmessage=e=>{const n=e.data,t=a.get(n);if(null!=t)try{t()}finally{a.delete(n)}};let i=1;t.defer=function(){return new Promise((e=>{const n=i++;a.set(n,e),r.port2.postMessage(n)}))},t.wait=function(e){return new Promise((n=>setTimeout(n,e)))}},\n function _(n,t,i,e,c){e();const r=n(8),s=n(13);i.is_ref=function(n){if((0,r.isPlainObject)(n)){const t=(0,s.keys)(n);return 1==t.length&&\"id\"==t[0]}return!1}},\n function _(e,t,n,r,a){r(),n.YCoordinateSeqSeqSeqSpec=n.XCoordinateSeqSeqSeqSpec=n.YCoordinateSeqSpec=n.XCoordinateSeqSpec=n.YCoordinateSpec=n.XCoordinateSpec=n.CoordinateSeqSeqSeqSpec=n.CoordinateSeqSpec=n.CoordinateSpec=n.BaseCoordinateSpec=n.NumberUnitsSpec=n.UnitsSpec=n.DataSpec=n.VectorSpec=n.TextBaselineScalar=n.TextAlignScalar=n.FontStyleScalar=n.FontSizeScalar=n.FontScalar=n.LineDashScalar=n.LineCapScalar=n.LineJoinScalar=n.ArrayScalar=n.NullStringScalar=n.StringScalar=n.NumberScalar=n.ColorScalar=n.AnyScalar=n.ScalarSpec=n.VerticalAlign=n.UpdateMode=n.TooltipAttachment=n.TickLabelOrientation=n.TextureRepetition=n.TextBaseline=n.TextAlign=n.TapBehavior=n.StepMode=n.StartEnd=n.SpatialUnits=n.Sort=n.SizingMode=n.Side=n.RoundingFunction=n.ResetPolicy=n.RenderMode=n.RenderLevel=n.RadiusDimension=n.PointPolicy=n.Place=void 0,n.TextBaselineSpec=n.TextAlignSpec=n.FontStyleSpec=n.FontSizeSpec=n.FontSpec=n.LineDashSpec=n.LineCapSpec=n.LineJoinSpec=n.MarkerSpec=n.ArraySpec=n.NullStringSpec=n.StringSpec=n.AnySpec=n.NDArraySpec=n.ColorSpec=n.ScreenSizeSpec=n.NumberSpec=n.IntSpec=n.BooleanSpec=n.NullDistanceSpec=n.DistanceSpec=n.AngleSpec=void 0;const i=e(1),s=e(15),l=e(19),o=(0,i.__importStar)(e(20)),c=e(24),_=e(9),u=e(12),d=e(10),S=e(22),p=e(27),m=e(8),h=e(28),v=e(29),y=e(33);function x(e){try{return JSON.stringify(e)}catch(t){return e.toString()}}function g(e){return(0,m.isPlainObject)(e)&&(void 0===e.value?0:1)+(void 0===e.field?0:1)+(void 0===e.expr?0:1)==1}a(\"Uniform\",y.Uniform),a(\"UniformScalar\",y.UniformScalar),a(\"UniformVector\",y.UniformVector),n.isSpec=g;class f{constructor(e,t,n,r,a,i={}){var l;let o;if(this.obj=e,this.attr=t,this.kind=n,this.default_value=r,this._dirty=!1,this.change=new s.Signal0(this.obj,\"change\"),this.internal=null!==(l=i.internal)&&void 0!==l&&l,this.convert=i.convert,this.on_update=i.on_update,void 0!==a)o=a,this._dirty=!0;else{const t=this._default_override();if(void 0!==t)o=t;else{if(void 0===r)return void(this.spec={value:null});o=r(e)}}this._update(o)}get is_value(){return void 0!==this.spec.value}get syncable(){return!this.internal}get_value(){return this.spec.value}set_value(e){this._update(e),this._dirty=!0}_default_override(){}get dirty(){return this._dirty}_update(e){var t;if(this.validate(e),null!=this.convert){const t=this.convert(e);void 0!==t&&(e=t)}this.spec={value:e},null===(t=this.on_update)||void 0===t||t.call(this,e,this.obj)}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${x(this.spec)})`}normalize(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj}.${this.attr} given invalid value: ${x(e)}`)}valid(e){return this.kind.valid(e)}_value(e=!0){if(!this.is_value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.normalize([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}}n.Property=f,f.__name__=\"Property\";class A{constructor(e){this.attr=e}}n.PropertyAlias=A,A.__name__=\"PropertyAlias\",n.Alias=function(e){return new A(e)};class C extends f{}n.PrimitiveProperty=C,C.__name__=\"PrimitiveProperty\";class T extends f{}n.Any=T,T.__name__=\"Any\";class L extends f{valid(e){return(0,m.isArray)(e)||(0,m.isTypedArray)(e)}}n.Array=L,L.__name__=\"Array\";class w extends f{valid(e){return(0,m.isBoolean)(e)}}n.Boolean=w,w.__name__=\"Boolean\";class P extends f{valid(e){return(0,S.is_Color)(e)}}n.Color=P,P.__name__=\"Color\";class b extends f{}n.Instance=b,b.__name__=\"Instance\";class q extends f{valid(e){return(0,m.isNumber)(e)}}n.Number=q,q.__name__=\"Number\";class N extends q{valid(e){return(0,m.isNumber)(e)&&(0|e)==e}}n.Int=N,N.__name__=\"Int\";class z extends q{}n.Angle=z,z.__name__=\"Angle\";class B extends q{valid(e){return(0,m.isNumber)(e)&&0<=e&&e<=1}}n.Percent=B,B.__name__=\"Percent\";class F extends f{valid(e){return(0,m.isString)(e)}}n.String=F,F.__name__=\"String\";class D extends f{valid(e){return null===e||(0,m.isString)(e)}}n.NullString=D,D.__name__=\"NullString\";class U extends F{}n.FontSize=U,U.__name__=\"FontSize\";class M extends F{_default_override(){return h.settings.dev?\"Bokeh\":void 0}}n.Font=M,M.__name__=\"Font\";class R extends f{valid(e){return(0,m.isString)(e)&&(0,_.includes)(this.enum_values,e)}}function k(e){return class extends R{get enum_values(){return[...e]}}}n.EnumProperty=R,R.__name__=\"EnumProperty\",n.Enum=k;class O extends R{get enum_values(){return[...o.Direction]}normalize(e){const t=new Uint8Array(e.length);for(let n=0;n=0}}n.ScreenSizeSpec=fe,fe.__name__=\"ScreenSizeSpec\";class Ae extends ne{materialize(e){return(0,S.encode_rgba)((0,S.color2rgba)(e))}v_materialize(e){if(!(0,v.is_NDArray)(e)){const t=e.length,n=new c.RGBAArray(4*t);let r=0;for(const t of e){const[e,a,i,s]=(0,S.color2rgba)(t);n[r++]=e,n[r++]=a,n[r++]=i,n[r++]=s}return new c.ColorArray(n.buffer)}if(\"uint32\"==e.dtype&&1==e.dimension)return(0,p.to_big_endian)(e);if(\"uint8\"==e.dtype&&1==e.dimension){const[t]=e.shape,n=new c.RGBAArray(4*t);let r=0;for(const t of e)n[r++]=t,n[r++]=t,n[r++]=t,n[r++]=255;return new c.ColorArray(n.buffer)}if(\"uint8\"==e.dtype&&2==e.dimension){const[t,n]=e.shape;if(4==n)return new c.ColorArray(e.buffer);if(3==n){const r=new c.RGBAArray(4*t);for(let a=0,i=0;a0){let o=r[e];return null==o&&(r[e]=o=new v(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof i)this._log_level=e;else{if(!(0,s.isString)(e)||null==v.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=v.log_levels[e]}const l=`[${this._name}]`;for(const[e,o]of(0,g.entries)(v.log_levels))o.level\",\"*\"),t.HTTPMethod=(0,a.Enum)(\"POST\",\"GET\"),t.HexTileOrientation=(0,a.Enum)(\"pointytop\",\"flattop\"),t.HoverMode=(0,a.Enum)(\"mouse\",\"hline\",\"vline\"),t.LatLon=(0,a.Enum)(\"lat\",\"lon\"),t.LegendClickPolicy=(0,a.Enum)(\"none\",\"hide\",\"mute\"),t.LegendLocation=t.Anchor,t.LineCap=(0,a.Enum)(\"butt\",\"round\",\"square\"),t.LineJoin=(0,a.Enum)(\"miter\",\"round\",\"bevel\"),t.LineDash=(0,a.Enum)(\"solid\",\"dashed\",\"dotted\",\"dotdash\",\"dashdot\"),t.LinePolicy=(0,a.Enum)(\"prev\",\"next\",\"nearest\",\"interp\",\"none\"),t.Location=(0,a.Enum)(\"above\",\"below\",\"left\",\"right\"),t.Logo=(0,a.Enum)(\"normal\",\"grey\"),t.MarkerType=(0,a.Enum)(\"asterisk\",\"circle\",\"circle_cross\",\"circle_dot\",\"circle_x\",\"circle_y\",\"cross\",\"dash\",\"diamond\",\"diamond_cross\",\"diamond_dot\",\"dot\",\"hex\",\"hex_dot\",\"inverted_triangle\",\"plus\",\"square\",\"square_cross\",\"square_dot\",\"square_pin\",\"square_x\",\"star\",\"star_dot\",\"triangle\",\"triangle_dot\",\"triangle_pin\",\"x\",\"y\"),t.MutedPolicy=(0,a.Enum)(\"show\",\"ignore\"),t.Orientation=(0,a.Enum)(\"vertical\",\"horizontal\"),t.OutputBackend=(0,a.Enum)(\"canvas\",\"svg\",\"webgl\"),t.PaddingUnits=(0,a.Enum)(\"percent\",\"absolute\"),t.Place=(0,a.Enum)(\"above\",\"below\",\"left\",\"right\",\"center\"),t.PointPolicy=(0,a.Enum)(\"snap_to_data\",\"follow_mouse\",\"none\"),t.RadiusDimension=(0,a.Enum)(\"x\",\"y\",\"max\",\"min\"),t.RenderLevel=(0,a.Enum)(\"image\",\"underlay\",\"glyph\",\"guide\",\"annotation\",\"overlay\"),t.RenderMode=(0,a.Enum)(\"canvas\",\"css\"),t.ResetPolicy=(0,a.Enum)(\"standard\",\"event_only\"),t.RoundingFunction=(0,a.Enum)(\"round\",\"nearest\",\"floor\",\"rounddown\",\"ceil\",\"roundup\"),t.SelectionMode=(0,a.Enum)(\"replace\",\"append\",\"intersect\",\"subtract\"),t.Side=(0,a.Enum)(\"above\",\"below\",\"left\",\"right\"),t.SizingMode=(0,a.Enum)(\"stretch_width\",\"stretch_height\",\"stretch_both\",\"scale_width\",\"scale_height\",\"scale_both\",\"fixed\"),t.Sort=(0,a.Enum)(\"ascending\",\"descending\"),t.SpatialUnits=(0,a.Enum)(\"screen\",\"data\"),t.StartEnd=(0,a.Enum)(\"start\",\"end\"),t.StepMode=(0,a.Enum)(\"after\",\"before\",\"center\"),t.TapBehavior=(0,a.Enum)(\"select\",\"inspect\"),t.TextAlign=(0,a.Enum)(\"left\",\"right\",\"center\"),t.TextBaseline=(0,a.Enum)(\"top\",\"middle\",\"bottom\",\"alphabetic\",\"hanging\",\"ideographic\"),t.TextureRepetition=(0,a.Enum)(\"repeat\",\"repeat_x\",\"repeat_y\",\"no_repeat\"),t.TickLabelOrientation=(0,a.Enum)(\"vertical\",\"horizontal\",\"parallel\",\"normal\"),t.TooltipAttachment=(0,a.Enum)(\"horizontal\",\"vertical\",\"left\",\"right\",\"above\",\"below\"),t.UpdateMode=(0,a.Enum)(\"replace\",\"append\"),t.VerticalAlign=(0,a.Enum)(\"top\",\"middle\",\"bottom\")},\n function _(e,n,t,s,r){s();const i=(0,e(1).__importStar)(e(8)),a=e(22),l=e(13),_=window.Map,{hasOwnProperty:u}=Object.prototype;class d{}t.Kind=d,d.__name__=\"Kind\",function(e){class n extends d{valid(e){return!0}}n.__name__=\"Any\",e.Any=n;class t extends d{valid(e){return!0}}t.__name__=\"Unknown\",e.Unknown=t;class s extends d{valid(e){return i.isBoolean(e)}}s.__name__=\"Boolean\",e.Boolean=s;class r extends d{constructor(e){super(),this.obj_type=e}valid(e){return!0}}r.__name__=\"Ref\",e.Ref=r;class c extends d{valid(e){return!0}}c.__name__=\"AnyRef\",e.AnyRef=c;class o extends d{valid(e){return i.isNumber(e)}}o.__name__=\"Number\",e.Number=o;class p extends o{valid(e){return super.valid(e)&&i.isInteger(e)}}p.__name__=\"Int\",e.Int=p;class y extends o{valid(e){return super.valid(e)&&0<=e&&e<=1}}y.__name__=\"Percent\",e.Percent=y;class m extends d{constructor(e){super(),this.types=e,this.types=e}valid(e){return this.types.some((n=>n.valid(e)))}}m.__name__=\"Or\",e.Or=m;class v extends d{constructor(e){super(),this.types=e,this.types=e}valid(e){if(!i.isArray(e))return!1;for(let n=0;nthis.item_type.valid(e)))}}f.__name__=\"Array\",e.Array=f;class K extends d{valid(e){return null===e}}K.__name__=\"Null\",e.Null=K;class b extends d{constructor(e){super(),this.base_type=e}valid(e){return null===e||this.base_type.valid(e)}}b.__name__=\"Nullable\",e.Nullable=b;class A extends d{constructor(e){super(),this.base_type=e}valid(e){return void 0===e||this.base_type.valid(e)}}A.__name__=\"Opt\",e.Opt=A;class x extends d{valid(e){return i.isString(e)}}x.__name__=\"String\",e.String=x;class S extends d{constructor(e){super(),this.values=new Set(e)}valid(e){return this.values.has(e)}*[Symbol.iterator](){yield*this.values}}S.__name__=\"Enum\",e.Enum=S;class N extends d{constructor(e){super(),this.item_type=e}valid(e){if(!i.isPlainObject(e))return!1;for(const n in e)if(u.call(e,n)){const t=e[n];if(!this.item_type.valid(t))return!1}return!0}}N.__name__=\"Dict\",e.Dict=N;class O extends d{constructor(e,n){super(),this.key_type=e,this.item_type=n}valid(e){if(!(e instanceof _))return!1;for(const[n,t]of e.entries())if(!this.key_type.valid(n)||!this.item_type.valid(t))return!1;return!0}}O.__name__=\"Map\",e.Map=O;class g extends d{valid(e){return(0,a.is_Color)(e)}}g.__name__=\"Color\",e.Color=g;class P extends d{valid(e){return i.isFunction(e)}}P.__name__=\"Function\",e.Function=P}(t.Kinds||(t.Kinds={})),t.Any=new t.Kinds.Any,t.Unknown=new t.Kinds.Unknown,t.Boolean=new t.Kinds.Boolean,t.Number=new t.Kinds.Number,t.Int=new t.Kinds.Int,t.String=new t.Kinds.String,t.Null=new t.Kinds.Null;t.Nullable=e=>new t.Kinds.Nullable(e);t.Opt=e=>new t.Kinds.Opt(e);t.Or=(...e)=>new t.Kinds.Or(e);t.Tuple=(...e)=>new t.Kinds.Tuple(e);t.Struct=e=>new t.Kinds.Struct(e),t.Arrayable=new t.Kinds.Arrayable;t.Array=e=>new t.Kinds.Array(e);t.Dict=e=>new t.Kinds.Dict(e);t.Map=(e,n)=>new t.Kinds.Map(e,n);t.Enum=(...e)=>new t.Kinds.Enum(e);t.Ref=e=>new t.Kinds.Ref(e);t.AnyRef=()=>new t.Kinds.AnyRef;t.Function=()=>new t.Kinds.Function,t.Percent=new t.Kinds.Percent,t.Alpha=t.Percent,t.Color=new t.Kinds.Color,t.Auto=(0,t.Enum)(\"auto\"),t.FontSize=t.String,t.Font=t.String,t.Angle=t.Number},\n function _(n,t,r,e,s){e();const u=n(23),c=n(10),l=n(8),{round:i}=Math;function o(n){return(0,c.clamp)(i(n),0,255)}function a(){return[0,0,0,0]}function f(n){return[n>>24&255,n>>16&255,n>>8&255,255&n]}function d(n,t){var r;let e,s,u,c;return null==n?[e,s,u,c]=[0,0,0,0]:(0,l.isInteger)(n)?[e,s,u,c]=f(n):(0,l.isString)(n)?[e,s,u,c]=null!==(r=_(n))&&void 0!==r?r:[0,0,0,0]:([e,s,u,c=1]=n,c=o(255*c)),255==c&&null!=t&&(c=o(255*t)),[e,s,u,c]}r.transparent=a,r.encode_rgba=function([n,t,r,e]){return n<<24|t<<16|r<<8|e},r.decode_rgba=f,r.compose_alpha=function(n,t){return 255==(255&n)?4294967040&n|o(255*t):n},r.color2rgba=d;const h={0:\"0\",1:\"1\",2:\"2\",3:\"3\",4:\"4\",5:\"5\",6:\"6\",7:\"7\",8:\"8\",9:\"9\",10:\"a\",11:\"b\",12:\"c\",13:\"d\",14:\"e\",15:\"f\"};function g(n){return h[n>>4]+h[15&n]}r.color2css=function(n,t){const[r,e,s,u]=d(n,t);return`rgba(${r}, ${e}, ${s}, ${u/255})`},r.color2hex=function(n,t){const[r,e,s,u]=d(n,t),c=`#${g(r)}${g(e)}${g(s)}`;return 255==u?c:`${c}${g(u)}`},r.color2hexrgb=function(n){const[t,r,e]=d(n);return`#${g(t)}${g(r)}${g(e)}`};const b=/^rgba?\\(\\s*([^\\s,]+?)\\s+([^\\s,]+?)\\s+([^\\s,]+?)(?:\\s*\\/\\s*([^\\s,]+?))?\\s*\\)$/,$=/^rgba?\\(\\s*([^\\s,]+?)\\s*,\\s*([^\\s,]+?)\\s*,\\s*([^\\s,]+?)(?:\\s*,\\s*([^\\s,]+?))?\\s*\\)$/,m=(()=>{const n=document.createElement(\"canvas\");n.width=1,n.height=1;const t=n.getContext(\"2d\"),r=t.createLinearGradient(0,0,1,1);return n=>{t.fillStyle=r,t.fillStyle=n;const e=t.fillStyle;return e!=r?e:null}})();function _(n){var t;if(!(n=n.trim().toLowerCase()))return null;if(\"transparent\"==n)return[0,0,0,0];if((0,u.is_named_color)(n))return f(u.named_colors[n]);if(\"#\"==n[0]){const t=Number(`0x${n.substr(1)}`);if(isNaN(t))return null;switch(n.length-1){case 3:{const n=t>>8&15,r=t>>4&15,e=t>>0&15;return[n<<4|n,r<<4|r,e<<4|e,255]}case 4:{const n=t>>12&15,r=t>>8&15,e=t>>4&15,s=t>>0&15;return[n<<4|n,r<<4|r,e<<4|e,s<<4|s]}case 6:return[t>>16&255,t>>8&255,t>>0&255,255];case 8:return[t>>24&255,t>>16&255,t>>8&255,t>>0&255]}}else if(n.startsWith(\"rgb\")){const r=null!==(t=n.match(b))&&void 0!==t?t:n.match($);if(null!=r){let[,n,t,e,s=\"1\"]=r;const u=n.endsWith(\"%\"),c=t.endsWith(\"%\"),l=e.endsWith(\"%\"),i=s.endsWith(\"%\");if(!(u&&c&&l)&&(u||c||l))return null;u&&(n=n.slice(0,-1)),c&&(t=t.slice(0,-1)),l&&(e=e.slice(0,-1)),i&&(s=s.slice(0,-1));let a=Number(n),f=Number(t),d=Number(e),h=Number(s);return isNaN(a+f+d+h)?null:(u&&(a=a/100*255),c&&(f=f/100*255),l&&(d=d/100*255),h=255*(i?h/100:h),a=o(a),f=o(f),d=o(d),h=o(h),[a,f,d,h])}}else{const t=m(n);if(null!=t)return _(t)}return null}r.css4_parse=_,r.is_Color=function(n){return!!(0,l.isInteger)(n)||(!(!(0,l.isString)(n)||null==_(n))||!(!(0,l.isArray)(n)||3!=n.length&&4!=n.length))},r.is_dark=function([n,t,r]){return 1-(.299*n+.587*t+.114*r)/255>=.6}},\n function _(e,r,l,a,i){a();l.named_colors={aliceblue:4042850303,antiquewhite:4209760255,aqua:16777215,aquamarine:2147472639,azure:4043309055,beige:4126530815,bisque:4293182719,black:255,blanchedalmond:4293643775,blue:65535,blueviolet:2318131967,brown:2771004159,burlywood:3736635391,cadetblue:1604231423,chartreuse:2147418367,chocolate:3530104575,coral:4286533887,cornflowerblue:1687547391,cornsilk:4294499583,crimson:3692313855,cyan:16777215,darkblue:35839,darkcyan:9145343,darkgoldenrod:3095792639,darkgray:2846468607,darkgreen:6553855,darkgrey:2846468607,darkkhaki:3182914559,darkmagenta:2332068863,darkolivegreen:1433087999,darkorange:4287365375,darkorchid:2570243327,darkred:2332033279,darksalmon:3918953215,darkseagreen:2411499519,darkslateblue:1211993087,darkslategray:793726975,darkslategrey:793726975,darkturquoise:13554175,darkviolet:2483082239,deeppink:4279538687,deepskyblue:12582911,dimgray:1768516095,dimgrey:1768516095,dodgerblue:512819199,firebrick:2988581631,floralwhite:4294635775,forestgreen:579543807,fuchsia:4278255615,gainsboro:3705462015,ghostwhite:4177068031,gold:4292280575,goldenrod:3668254975,gray:2155905279,green:8388863,greenyellow:2919182335,grey:2155905279,honeydew:4043305215,hotpink:4285117695,indianred:3445382399,indigo:1258324735,ivory:4294963455,khaki:4041641215,lavender:3873897215,lavenderblush:4293981695,lawngreen:2096890111,lemonchiffon:4294626815,lightblue:2916673279,lightcoral:4034953471,lightcyan:3774873599,lightgoldenrodyellow:4210742015,lightgray:3553874943,lightgreen:2431553791,lightgrey:3553874943,lightpink:4290167295,lightsalmon:4288707327,lightseagreen:548580095,lightskyblue:2278488831,lightslategray:2005441023,lightslategrey:2005441023,lightsteelblue:2965692159,lightyellow:4294959359,lime:16711935,limegreen:852308735,linen:4210091775,magenta:4278255615,maroon:2147483903,mediumaquamarine:1724754687,mediumblue:52735,mediumorchid:3126187007,mediumpurple:2473647103,mediumseagreen:1018393087,mediumslateblue:2070474495,mediumspringgreen:16423679,mediumturquoise:1221709055,mediumvioletred:3340076543,midnightblue:421097727,mintcream:4127193855,mistyrose:4293190143,moccasin:4293178879,navajowhite:4292783615,navy:33023,oldlace:4260751103,olive:2155872511,olivedrab:1804477439,orange:4289003775,orangered:4282712319,orchid:3664828159,palegoldenrod:4008225535,palegreen:2566625535,paleturquoise:2951671551,palevioletred:3681588223,papayawhip:4293907967,peachpuff:4292524543,peru:3448061951,pink:4290825215,plum:3718307327,powderblue:2967529215,purple:2147516671,rebeccapurple:1714657791,red:4278190335,rosybrown:3163525119,royalblue:1097458175,saddlebrown:2336560127,salmon:4202722047,sandybrown:4104413439,seagreen:780883967,seashell:4294307583,sienna:2689740287,silver:3233857791,skyblue:2278484991,slateblue:1784335871,slategray:1887473919,slategrey:1887473919,snow:4294638335,springgreen:16744447,steelblue:1182971135,tan:3535047935,teal:8421631,thistle:3636451583,tomato:4284696575,turquoise:1088475391,violet:4001558271,wheat:4125012991,white:4294967295,whitesmoke:4126537215,yellow:4294902015,yellowgreen:2597139199},l.is_named_color=function(e){return e in l.named_colors}},\n function _(r,t,n,a,o){a(),n.GeneratorFunction=Object.getPrototypeOf((function*(){})).constructor,n.ColorArray=Uint32Array,n.RGBAArray=Uint8ClampedArray,n.infer_type=function(r,t){return r instanceof Float64Array||r instanceof Array||t instanceof Float64Array||t instanceof Array?Float64Array:Float32Array},n.ScreenArray=Float32Array,n.to_screen=function(r){return r instanceof Float32Array?r:Float32Array.from(r)},o(\"Indices\",r(25).BitSet)},\n function _(t,s,r,e,i){var n;e();const o=t(26),a=t(11);class _{constructor(t,s=0){this.size=t,this[n]=\"BitSet\",this._count=null,this._nwords=Math.ceil(t/32),0==s||1==s?(this._array=new Uint32Array(this._nwords),1==s&&this._array.fill(4294967295)):((0,a.assert)(s.length==this._nwords,\"Initializer size mismatch\"),this._array=s)}clone(){return new _(this.size,new Uint32Array(this._array))}[(n=Symbol.toStringTag,o.equals)](t,s){if(!s.eq(this.size,t.size))return!1;const{_nwords:r}=this,e=this.size%r,i=0==e?r:r-1;for(let s=0;s>>5,r=31&t;return!!(this._array[s]>>r&1)}set(t,s=!0){this._check_bounds(t),this._count=null;const r=t>>>5,e=31&t;s?this._array[r]|=1<>>t&1&&(e+=1)}return e}*ones(){const{_array:t,_nwords:s,size:r}=this;for(let e=0,i=0;i>>t&1&&(yield e);else e+=32}}*zeros(){const{_array:t,_nwords:s,size:r}=this;for(let e=0,i=0;i>>t&1||(yield e);else e+=32}}_check_size(t){(0,a.assert)(this.size==t.size,\"Size mismatch\")}add(t){this._check_size(t);for(let s=0;s{if(a(t)&&a(e))return t[r.equals](e,this);switch(n){case\"[object Array]\":case\"[object Uint8Array]\":case\"[object Int8Array]\":case\"[object Uint16Array]\":case\"[object Int16Array]\":case\"[object Uint32Array]\":case\"[object Int32Array]\":case\"[object Float32Array]\":case\"[object Float64Array]\":return this.arrays(t,e);case\"[object Map]\":return this.maps(t,e);case\"[object 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 Uint32Array(n.length),e=new DataView(i.buffer);let t=0;for(const i of n)e.setUint32(t,i),t+=4;return i}return n}},\n function _(e,t,r,s,_){s();class i{constructor(){this._dev=!1,this._wireframe=!1,this._force_webgl=!1}set dev(e){this._dev=e}get dev(){return this._dev}set wireframe(e){this._wireframe=e}get wireframe(){return this._wireframe}set force_webgl(e){this._force_webgl=e}get force_webgl(){return this._force_webgl}}r.Settings=i,i.__name__=\"Settings\",r.settings=new i},\n function _(e,s,t,i,r){var a,n,l,h,u,o,p,c;i();const y=e(8),_=e(11),A=e(26),q=e(30),d=e(31),z=Symbol(\"__ndarray__\");class D extends Uint8Array{constructor(e,s){super(e),this[a]=!0,this.dtype=\"uint8\",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)=>D.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>D.prototype[q.serialize].call(this,e))}[(a=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.Uint8NDArray=D,D.__name__=\"Uint8NDArray\";class N extends Int8Array{constructor(e,s){super(e),this[n]=!0,this.dtype=\"int8\",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)=>N.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>N.prototype[q.serialize].call(this,e))}[(n=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.Int8NDArray=N,N.__name__=\"Int8NDArray\";class f extends 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 s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Int32NDArray=I,I.__name__=\"Int32NDArray\";class U extends Float32Array{constructor(e,s){super(e),this[p]=!0,this.dtype=\"float32\",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)=>U.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>U.prototype[q.serialize].call(this,e))}[(p=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.Float32NDArray=U,U.__name__=\"Float32NDArray\";class w extends Float64Array{constructor(e,s){super(e),this[c]=!0,this.dtype=\"float64\",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)=>w.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>w.prototype[q.serialize].call(this,e))}[(c=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)}}function x(e){return(0,y.isObject)(e)&&void 0!==e[z]}t.Float64NDArray=w,w.__name__=\"Float64NDArray\",t.is_NDArray=x,t.ndarray=function(e,s={}){let{dtype:t}=s;null==t&&(t=e instanceof ArrayBuffer||(0,y.isArray)(e)?\"float64\":(()=>{switch(!0){case e instanceof Uint8Array:return\"uint8\";case e instanceof Int8Array:return\"int8\";case e instanceof Uint16Array:return\"uint16\";case e instanceof Int16Array:return\"int16\";case e instanceof Uint32Array:return\"uint32\";case e instanceof Int32Array:return\"int32\";case e instanceof Float32Array:return\"float32\";case e instanceof Float64Array:return\"float64\";default:(0,_.unreachable)()}})());const{shape:i}=s;switch(t){case\"uint8\":return new D(e,i);case\"int8\":return new N(e,i);case\"uint16\":return new f(e,i);case\"int16\":return new m(e,i);case\"uint32\":return new g(e,i);case\"int32\":return new I(e,i);case\"float32\":return new U(e,i);case\"float64\":return new w(e,i)}}},\n function _(e,r,t,i,s){i();const n=e(11),a=e(13),l=e(8);t.serialize=Symbol(\"serialize\");class o extends Error{}t.SerializationError=o,o.__name__=\"SerializationError\";class f{constructor(e){var r;this._references=new Map,this._definitions=new Map,this._refmap=new Map,this.include_defaults=null===(r=null==e?void 0:e.include_defaults)||void 0===r||r}get_ref(e){return this._references.get(e)}add_ref(e,r){(0,n.assert)(!this._references.has(e)),this._references.set(e,r)}add_def(e,r){const t=this.get_ref(e);(0,n.assert)(null!=t),this._definitions.set(e,r),this._refmap.set(t,r)}get objects(){return new Set(this._references.keys())}get references(){return new Set(this._references.values())}get definitions(){return new Set(this._definitions.values())}resolve_ref(e){return this._refmap.get(e)}remove_ref(e){return this._references.delete(e)}remove_def(e){return this._definitions.delete(e)}to_serializable(e){const r=this.get_ref(e);if(null!=r)return r;if(function(e){return(0,l.isObject)(e)&&void 0!==e[t.serialize]}(e))return e[t.serialize](this);if((0,l.isArray)(e)||(0,l.isTypedArray)(e)){const r=e.length,t=new Array(r);for(let i=0;i(0,s.buffer_to_base64)(_.buffer)};return Object.assign({__ndarray__:e},r)}}},\n function _(t,n,e,r,o){r(),e.buffer_to_base64=function(t){const n=new Uint8Array(t),e=Array.from(n).map((t=>String.fromCharCode(t)));return btoa(e.join(\"\"))},e.base64_to_buffer=function(t){const n=atob(t),e=n.length,r=new Uint8Array(e);for(let t=0,o=e;t\"'`])/g,(t=>{switch(t){case\"&\":return\"&\";case\"<\":return\"<\";case\">\":return\">\";case'\"':return\""\";case\"'\":return\"'\";case\"`\":return\"`\";default:return t}}))},r.unescape=function(t){return t.replace(/&(amp|lt|gt|quot|#x27|#x60);/g,((t,e)=>{switch(e){case\"amp\":return\"&\";case\"lt\":return\"<\";case\"gt\":return\">\";case\"quot\":return'\"';case\"#x27\":return\"'\";case\"#x60\":return\"`\";default:return e}}))},r.use_strict=function(t){return`'use strict';\\n${t}`},r.to_fixed=function(t,e){return t.toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\")}},\n function _(e,t,s,n,o){n();const i=e(30);class r{constructor(e){this.document=e}}s.DocumentEvent=r,r.__name__=\"DocumentEvent\";class a extends r{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=a,a.__name__=\"DocumentEventBatch\";class d extends r{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class l extends 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 Set,this.precision=null==t?void 0:t.precision}to_string(t){if((0,e.isObject)(t)){if(this.visited.has(t))return\"\";this.visited.add(t)}return function(t){return(0,e.isObject)(t)&&void 0!==t[r.pretty]}(t)?t[r.pretty](this):(0,e.isBoolean)(t)?this.boolean(t):(0,e.isNumber)(t)?this.number(t):(0,e.isString)(t)?this.string(t):(0,e.isArray)(t)?this.array(t):(0,e.isIterable)(t)?this.iterable(t):(0,e.isPlainObject)(t)?this.object(t):(0,e.isSymbol)(t)?this.symbol(t):`${t}`}token(t){return t}boolean(t){return`${t}`}number(t){return null!=this.precision?t.toFixed(this.precision):`${t}`}string(t){return`\"${t.replace(/'/g,\"\\\\'\")}\"`}symbol(t){return t.toString()}array(t){const i=this.token,r=[];for(const i of t)r.push(this.to_string(i));return`${i(\"[\")}${r.join(`${i(\",\")} `)}${i(\"]\")}`}iterable(t){var i;const r=this.token,n=null!==(i=Object(t)[Symbol.toStringTag])&&void 0!==i?i:\"Object\",s=this.array(t);return`${n}${r(\"(\")}${s}${r(\")\")}`}object(t){const i=this.token,r=[];for(const[n,s]of(0,o.entries)(t))r.push(`${n}${i(\":\")} ${this.to_string(s)}`);return`${i(\"{\")}${r.join(`${i(\",\")} `)}${i(\"}\")}`}}r.Printer=c,c.__name__=\"Printer\",r.to_string=function(t,i){return new c(i).to_string(t)}},\n function _(n,o,r,e,t){e();const l=n(13),i=n(8);function c(n){return(0,i.isObject)(n)&&void 0!==n[r.clone]}r.clone=Symbol(\"clone\"),r.is_Cloneable=c;class s extends Error{}r.CloningError=s,s.__name__=\"CloningError\";class a{constructor(){}clone(n){if(c(n))return n[r.clone](this);if((0,i.isArray)(n)){const o=n.length,r=new Array(o);for(let e=0;e{null!=this.layout&&(this.layout.visible=this.model.visible,this.plot_view.request_layout())}))}get needs_clip(){return null==this.layout}serializable_state(){const t=super.serializable_state();return null==this.layout?t:Object.assign(Object.assign({},t),{bbox:this.layout.bbox.box})}}i.AnnotationView=r,r.__name__=\"AnnotationView\";class a extends l.Renderer{constructor(t){super(t)}}i.Annotation=a,o=a,a.__name__=\"Annotation\",o.override({level:\"annotation\"})},\n function _(e,i,t,n,s){n();const r=e(1);var o,a;const _=e(42),l=(0,r.__importStar)(e(45)),d=e(20),h=e(53),u=e(54);class c extends h.Model{constructor(e){super(e)}}t.RendererGroup=c,o=c,c.__name__=\"RendererGroup\",o.define((({Boolean:e})=>({visible:[e,!0]})));class p extends _.View{get coordinates(){const{_coordinates:e}=this;return null!=e?e:this._coordinates=this._initialize_coordinates()}initialize(){super.initialize(),this.visuals=new l.Visuals(this),this.needs_webgl_blit=!1}connect_signals(){super.connect_signals();const{x_range_name:e,y_range_name:i}=this.model.properties;this.on_change([e,i],(()=>this._initialize_coordinates()));const{group:t}=this.model;null!=t&&this.on_change(t.properties.visible,(()=>{this.model.visible=t.visible}))}_initialize_coordinates(){const{coordinates:e}=this.model,{frame:i}=this.plot_view;if(null!=e)return e.get_transform(i);{const{x_range_name:e,y_range_name:t}=this.model,n=i.x_scales.get(e),s=i.y_scales.get(t);return new u.CoordinateTransform(n,s)}}get plot_view(){return this.parent}get plot_model(){return this.parent.model}get layer(){const{overlays:e,primary:i}=this.canvas;return\"overlay\"==this.model.level?e:i}get canvas(){return this.plot_view.canvas_view}request_render(){this.request_paint()}request_paint(){this.plot_view.request_paint(this)}request_layout(){this.plot_view.request_layout()}notify_finished(){this.plot_view.notify_finished()}notify_finished_after_paint(){this.plot_view.notify_finished_after_paint()}get needs_clip(){return!1}get has_webgl(){return!1}render(){this.model.visible&&this._render(),this._has_finished=!0}renderer_view(e){}}t.RendererView=p,p.__name__=\"RendererView\";class g extends h.Model{constructor(e){super(e)}}t.Renderer=g,a=g,g.__name__=\"Renderer\",a.define((({Boolean:e,String:i,Ref:t,Nullable:n})=>({group:[n(t(c)),null],level:[d.RenderLevel,\"image\"],visible:[e,!0],x_range_name:[i,\"default\"],y_range_name:[i,\"default\"],coordinates:[n(t(u.CoordinateMapping)),null]})))},\n function _(t,e,s,i,n){i();const o=t(1),h=t(15),r=t(43),l=t(8),_=(0,o.__importDefault)(t(44));class d{constructor(t){this.removed=new h.Signal0(this,\"removed\"),this._ready=Promise.resolve(void 0),this._slots=new WeakMap,this._idle_notified=!1;const{model:e,parent:s}=t;this.model=e,this.parent=s,this.root=null==s?this:s.root,this.removed.emit()}get ready(){return this._ready}connect(t,e){let s=this._slots.get(e);return null==s&&(s=(t,s)=>{const i=Promise.resolve(e.call(this,t,s));this._ready=this._ready.then((()=>i))},this._slots.set(e,s)),t.connect(s,this)}disconnect(t,e){return 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 _(t,e,n,i,o){i();const s=t(8),l=t(13),r=t=>(e={},...n)=>{const i=document.createElement(t);i.classList.add(\"bk\"),(0,s.isPlainObject)(e)||(n=[e,...n],e={});for(let[t,n]of(0,l.entries)(e))if(null!=n&&(!(0,s.isBoolean)(n)||n))if(\"class\"===t&&((0,s.isString)(n)&&(n=n.split(/\\s+/)),(0,s.isArray)(n)))for(const t of n)null!=t&&i.classList.add(t);else if(\"style\"===t&&(0,s.isPlainObject)(n))for(const[t,e]of(0,l.entries)(n))i.style[t]=e;else if(\"data\"===t&&(0,s.isPlainObject)(n))for(const[t,e]of(0,l.entries)(n))i.dataset[t]=e;else 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};function a(t){const e=t.parentNode;null!=e&&e.removeChild(t)}function c(t,...e){const n=t.firstChild;for(const i of e)t.insertBefore(i,n)}function d(t,e){var n,i,o;const s=Element.prototype;return(null!==(o=null!==(i=null!==(n=s.matches)&&void 0!==n?n:s.webkitMatchesSelector)&&void 0!==i?i:s.mozMatchesSelector)&&void 0!==o?o:s.msMatchesSelector).call(t,e)}function h(t){return parseFloat(t)||0}function f(t){const e=getComputedStyle(t);return{border:{top:h(e.borderTopWidth),bottom:h(e.borderBottomWidth),left:h(e.borderLeftWidth),right:h(e.borderRightWidth)},margin:{top:h(e.marginTop),bottom:h(e.marginBottom),left:h(e.marginLeft),right:h(e.marginRight)},padding:{top:h(e.paddingTop),bottom:h(e.paddingBottom),left:h(e.paddingLeft),right:h(e.paddingRight)}}}function u(t){const e=t.getBoundingClientRect();return{width:Math.ceil(e.width),height:Math.ceil(e.height)}}n.createElement=function(t,e,...n){return 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 n=e(1),l=e(46);c(\"Line\",l.Line),c(\"LineScalar\",l.LineScalar),c(\"LineVector\",l.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,n.__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 l.Line(e,t);case u.LineScalar:return new l.LineScalar(e,t);case u.LineVector:return new l.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\")}})();a instanceof V.VisualProperties&&a.update(),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)}}*[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,e,a){e();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 e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=d.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=d.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return el&&(\"start\"==this.follow?a=e+s*l:\"end\"==this.follow&&(e=a-s*l)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.entries(),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 _(n,t,e,o,r){o();const c=n(1),l=(0,c.__importDefault)(n(79)),i=(0,c.__importDefault)(n(80)),u=n(24),a=new i.default(\"GOOGLE\"),s=new i.default(\"WGS84\"),f=(0,l.default)(s,a);e.wgs84_mercator={compute:(n,t)=>isFinite(n)&&isFinite(t)?f.forward([n,t]):[NaN,NaN],invert:(n,t)=>isFinite(n)&&isFinite(t)?f.inverse([n,t]):[NaN,NaN]};const _={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},p={lon:[-180,180],lat:[-85.06,85.06]},{min:g,max:h}=Math;function m(n,t){const o=g(n.length,t.length),r=(0,u.infer_type)(n,t),c=new r(o),l=new r(o);return e.inplace.project_xy(n,t,c,l),[c,l]}e.clip_mercator=function(n,t,e){const[o,r]=_[e];return[h(n,o),g(t,r)]},e.in_bounds=function(n,t){const[e,o]=p[t];return e2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof o.z?[o.x,o.y,o.z].concat(t.splice(3)):[o.x,o.y,t[2]].concat(t.splice(3)):[o.x,o.y].concat(t.splice(2)):[o.x,o.y]):(a=(0,c.default)(e,n,t,r),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;a[r]=t[r]})),a)}function l(e){return e instanceof i.default?e:e.oProj?e.oProj:(0,i.default)(e)}t.default=function(e,n,t){e=l(e);var r,o=!1;return void 0===n?(n=e,e=u,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=u,o=!0),n=l(n),t?f(e,n,t):(r={forward:function(t,r){return f(e,n,t,r)},inverse:function(t,r){return f(n,e,t,r)}},o&&(r.oProj=n),r)}},\n function _(t,e,a,s,i){s();const l=t(1),u=(0,l.__importDefault)(t(81)),r=(0,l.__importDefault)(t(92)),d=(0,l.__importDefault)(t(93)),o=t(101),f=(0,l.__importDefault)(t(103)),p=(0,l.__importDefault)(t(104)),m=(0,l.__importDefault)(t(88)),n=t(105);function h(t,e){if(!(this instanceof 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 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),t.WGS84=t[\"EPSG:4326\"],t[\"EPSG:3785\"]=t[\"EPSG:3857\"],t.GOOGLE=t[\"EPSG:3857\"],t[\"EPSG:900913\"]=t[\"EPSG:3857\"],t[\"EPSG:102113\"]=t[\"EPSG:3857\"]}},\n function _(t,n,o,a,u){a();const e=t(1),r=t(85),i=(0,e.__importDefault)(t(86)),f=(0,e.__importDefault)(t(87)),l=(0,e.__importDefault)(t(88));o.default=function(t){var n,o,a,u={},e=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return 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=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(519)))));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 e=(0,u.sprintf)(\"$1%06d\",function(s){return Math.round(s/1e3%1*1e6)}(s));return-1==(t=t.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?t:(0,o.default)(s,t)}}const f=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends a.TickFormatter{constructor(s){super(s),this.strip_leading_zeros=!0}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const s=+(0,o.default)(new Date),t=function(t){const e=t.map((t=>l(s,t).length)),n=(0,m.sort_by)((0,m.zip)(e,t),(([s])=>s));return(0,m.unzip)(n)};this._width_formats={microseconds:t(this.microseconds),milliseconds:t(this.milliseconds),seconds:t(this.seconds),minsec:t(this.minsec),minutes:t(this.minutes),hourmin:t(this.hourmin),hours:t(this.hours),days:t(this.days),months:t(this.months),years:t(this.years)}}_get_resolution_str(s,t){const e=1.1*s;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return t>=60?\"minsec\":\"seconds\";case!(e<3600):return t>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(s,t){if(0==s.length)return[];const e=Math.abs(s[s.length-1]-s[0])/1e3,n=e/(s.length-1),i=this._get_resolution_str(n,e),[,[r]]=this._width_formats[i],o=[],a=f.indexOf(i),u={};for(const s of f)u[s]=0;u.seconds=5,u.minsec=4,u.minutes=4,u.hourmin=3,u.hours=3;for(const t of s){let s,e;try{e=d(t),s=l(t,r)}catch(s){c.logger.warn(`unable to format tick for timestamp value ${t}`),c.logger.warn(` - ${s}`),o.push(\"ERR\");continue}let n=!1,m=a;for(;0==e[u[f[m]]];){let r;if(m+=1,m==f.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!n){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){r=this._width_formats[f[a-1]][1][0],s=l(t,r);break}n=!0}r=this._width_formats[f[m]][1][0],s=l(t,r)}if(this.strip_leading_zeros){let t=s.replace(/^0+/g,\"\");t!=s&&isNaN(parseInt(t))&&(t=`0${t}`),o.push(t)}else o.push(s)}return o}}e.DatetimeTickFormatter=_,r=_,_.__name__=\"DatetimeTickFormatter\",r.define((({String:s,Array:t})=>({microseconds:[t(s),[\"%fus\"]],milliseconds:[t(s),[\"%3Nms\",\"%S.%3Ns\"]],seconds:[t(s),[\"%Ss\"]],minsec:[t(s),[\":%M:%S\"]],minutes:[t(s),[\":%M\",\"%Mm\"]],hourmin:[t(s),[\"%H:%M\"]],hours:[t(s),[\"%Hh\",\"%H:%M\"]],days:[t(s),[\"%m/%d\",\"%a%d\"]],months:[t(s),[\"%m/%Y\",\"%b %Y\"]],years:[t(s),[\"%Y\"]]})))},\n function _(e,t,n,r,o){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o=T-g;--c)for(o=0,a=s.length;o=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var o,a,u=this.entry.offset+this.entry.save,i=Math.abs(u/1e3),l=[],s=3600;for(o=0;o<3;o++)l.push((\"0\"+Math.floor(i/s)).slice(-2)),i%=s,s/=60;return\"^\"!=n||u?(\"^\"==n&&(r=3),3==r?(a=(a=l.join(\":\")).replace(/:00$/,\"\"),\"^\"!=n&&(a=a.replace(/:00$/,\"\"))):r?(a=l.slice(0,r+1).join(\":\"),\"^\"==n&&(a=a.replace(/:00$/,\"\"))):a=l.slice(0,2).join(\"\"),a=(a=(u<0?\"-\":\"+\")+a).replace(/([-+])(0)/,{_:\" $1\",\"-\":\"$1\"}[n]||\"$1$2\")):\"Z\"},\"%\":function(e){return\"%\"},n:function(e){return\"\\n\"},t:function(e){return\"\\t\"},U:function(e){return s(e,0)},W:function(e){return s(e,1)},V:function(e){return c(e)[0]},G:function(e){return c(e)[1]},g:function(e){return c(e)[1]%100},j:function(e){return Math.floor((e.getTime()-Date.UTC(e.getUTCFullYear(),0))/864e5)+1},s:function(e){return Math.floor(e.getTime()/1e3)},C:function(e){return Math.floor(e.getUTCFullYear()/100)},N:function(e){return e.getTime()%1e3*1e6},m:function(e){return e.getUTCMonth()+1},Y:function(e){return e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t=o?Math.floor((n-o)/7)+1:0}function c(e){var t,n,r;return n=e.getUTCFullYear(),t=new Date(Date.UTC(n,0)).getUTCDay(),(r=s(e,1)+(t>1&&t<=4?1:0))?53!=r||4==t||3==t&&29==new Date(n,1,29).getDate()?[r,e.getUTCFullYear()]:[1,e.getUTCFullYear()+1]:(n=e.getUTCFullYear()-1,[r=4==(t=new Date(Date.UTC(n,0)).getUTCDay())||3==t&&29==new Date(n,1,29).getDate()?53:52,e.getUTCFullYear()-1])}return u=u.toLowerCase().split(\"|\"),\"delmHMSUWVgCIky\".replace(/./g,(function(e){a[e].pad=2})),a.N.pad=9,a.j.pad=3,a.k.style=\"_\",a.l.style=\"_\",a.e.style=\"_\",function(){return a.convert(arguments)}}))},\n function _(r,t,n,e,i){e();const u=r(1),a=(0,u.__importStar)(r(153)),f=r(154),o=(0,u.__importDefault)(r(151)),l=r(21),s=r(8);function c(r,...t){return(0,f.sprintf)(r,...t)}function m(r,t,n){if((0,s.isNumber)(r)){return c((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return`${r}`}function _(r,t,e){if(null==t)return m;if(null!=e&&r in e){const t=e[r];if((0,s.isString)(t)){if(t in n.DEFAULT_FORMATTERS)return n.DEFAULT_FORMATTERS[t];throw new Error(`Unknown tooltip field formatter type '${t}'`)}return function(r,n,e){return t.format(r,n,e)}}return n.DEFAULT_FORMATTERS.numeral}function p(r,t,n){const e=t.get_column(r);if(null==e)return null;if((0,s.isNumber)(n))return e[n];const i=e[n.index];if((0,s.isTypedArray)(i)||(0,s.isArray)(i)){if((0,s.isArray)(i[0])){return i[n.dim2][n.dim1]}return i[n.flat_index]}return i}function d(r,t,n,e){if(\"$\"==r[0]){return function(r,t){if(r in t)return t[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),e)}return p(r.substring(1).replace(/[{}]/g,\"\"),t,n)}n.FormatterType=(0,l.Enum)(\"numeral\",\"printf\",\"datetime\"),n.DEFAULT_FORMATTERS={numeral:(r,t,n)=>a.format(r,t),datetime:(r,t,n)=>(0,o.default)(r,t),printf:(r,t,n)=>c(t,r)},n.sprintf=c,n.basic_formatter=m,n.get_formatter=_,n._get_column_value=p,n.get_value=d,n.replace_placeholders=function(r,t,n,e,i={},u){let a,f;if((0,s.isString)(r)?(a=r,f=!1):(a=r.html,f=!0),a=a.replace(/@\\$name/g,(r=>`@{${i.name}}`)),a=a.replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,((r,a,o)=>{const l=d(a,t,n,i);if(null==l)return u?u(\"???\"):\"???\";if(\"safe\"==o)return f=!0,`${l}`;const s=`${_(a,o,e)(l,o,i)}`;return u?u(s):s})),f){return[...(new DOMParser).parseFromString(a,\"text/html\").body.childNodes]}return a}},\n function _(e,n,t,r,i){\n /*!\n * numbro.js\n * version : 1.6.2\n * author : Företagsplatsen AB\n * license : MIT\n * http://www.foretagsplatsen.se\n */\n var a,o={},l=o,u=\"en-US\",c=null,s=\"0,0\";void 0!==n&&n.exports;function f(e){this._value=e}function d(e){var n,t=\"\";for(n=0;n-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+d(i-r.length),n>0&&(a+=\".\"+d(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function p(e,n,t){var r;return r=n.indexOf(\"$\")>-1?function(e,n,t){var r,i,a=n,l=a.indexOf(\"$\"),c=a.indexOf(\"(\"),s=a.indexOf(\"+\"),f=a.indexOf(\"-\"),d=\"\",h=\"\";-1===a.indexOf(\"$\")?\"infix\"===o[u].currency.position?(h=o[u].currency.symbol,o[u].currency.spaceSeparated&&(h=\" \"+h+\" \")):o[u].currency.spaceSeparated&&(d=\" \"):a.indexOf(\" $\")>-1?(d=\" \",a=a.replace(\" $\",\"\")):a.indexOf(\"$ \")>-1?(d=\" \",a=a.replace(\"$ \",\"\")):a=a.replace(\"$\",\"\");if(i=m(e,a,t,h),-1===n.indexOf(\"$\"))switch(o[u].currency.position){case\"postfix\":i.indexOf(\")\")>-1?((i=i.split(\"\")).splice(-1,0,d+o[u].currency.symbol),i=i.join(\"\")):i=i+d+o[u].currency.symbol;break;case\"infix\":break;case\"prefix\":i.indexOf(\"(\")>-1||i.indexOf(\"-\")>-1?(i=i.split(\"\"),r=Math.max(c,f)+1,i.splice(r,0,o[u].currency.symbol+d),i=i.join(\"\")):i=o[u].currency.symbol+d+i;break;default:throw Error('Currency position should be among [\"prefix\", \"infix\", \"postfix\"]')}else l<=1?i.indexOf(\"(\")>-1||i.indexOf(\"+\")>-1||i.indexOf(\"-\")>-1?(r=1,(l-1?((i=i.split(\"\")).splice(-1,0,d+o[u].currency.symbol),i=i.join(\"\")):i=i+d+o[u].currency.symbol;return i}(e,n,t):n.indexOf(\"%\")>-1?function(e,n,t){var r,i=\"\";e*=100,n.indexOf(\" %\")>-1?(i=\" \",n=n.replace(\" %\",\"\")):n=n.replace(\"%\",\"\");(r=m(e,n,t)).indexOf(\")\")>-1?((r=r.split(\"\")).splice(-1,0,i+\"%\"),r=r.join(\"\")):r=r+i+\"%\";return r}(e,n,t):n.indexOf(\":\")>-1?function(e){var n=Math.floor(e/60/60),t=Math.floor((e-60*n*60)/60),r=Math.round(e-60*n*60-60*t);return n+\":\"+(t<10?\"0\"+t:t)+\":\"+(r<10?\"0\"+r:r)}(e):m(e,n,t),r}function m(e,n,t,r){var i,a,l,s,f,d,p,m,x,g,O,b,w,y,M,v,$,B=!1,E=!1,F=!1,k=\"\",U=!1,N=!1,S=!1,j=!1,D=!1,C=\"\",L=\"\",T=Math.abs(e),K=[\"B\",\"KiB\",\"MiB\",\"GiB\",\"TiB\",\"PiB\",\"EiB\",\"ZiB\",\"YiB\"],G=[\"B\",\"KB\",\"MB\",\"GB\",\"TB\",\"PB\",\"EB\",\"ZB\",\"YB\"],I=\"\",P=!1,R=!1;if(0===e&&null!==c)return c;if(!isFinite(e))return\"\"+e;if(0===n.indexOf(\"{\")){var W=n.indexOf(\"}\");if(-1===W)throw Error('Format should also contain a \"}\"');b=n.slice(1,W),n=n.slice(W+1)}else b=\"\";if(n.indexOf(\"}\")===n.length-1){var Y=n.indexOf(\"{\");if(-1===Y)throw Error('Format should also contain a \"{\"');w=n.slice(Y+1,-1),n=n.slice(0,Y+1)}else w=\"\";if(v=null===($=-1===n.indexOf(\".\")?n.match(/([0-9]+).*/):n.match(/([0-9]+)\\..*/))?-1:$[1].length,-1!==n.indexOf(\"-\")&&(P=!0),n.indexOf(\"(\")>-1?(B=!0,n=n.slice(1,-1)):n.indexOf(\"+\")>-1&&(E=!0,n=n.replace(/\\+/g,\"\")),n.indexOf(\"a\")>-1){if(g=n.split(\".\")[0].match(/[0-9]+/g)||[\"0\"],g=parseInt(g[0],10),U=n.indexOf(\"aK\")>=0,N=n.indexOf(\"aM\")>=0,S=n.indexOf(\"aB\")>=0,j=n.indexOf(\"aT\")>=0,D=U||N||S||j,n.indexOf(\" a\")>-1?(k=\" \",n=n.replace(\" a\",\"\")):n=n.replace(\"a\",\"\"),p=0===(p=(f=Math.floor(Math.log(T)/Math.LN10)+1)%3)?3:p,g&&0!==T&&(d=Math.floor(Math.log(T)/Math.LN10)+1-g,m=3*~~((Math.min(g,f)-p)/3),T/=Math.pow(10,m),-1===n.indexOf(\".\")&&g>3))for(n+=\"[.]\",M=(M=0===d?0:3*~~(d/3)-d)<0?M+3:M,i=0;i=Math.pow(10,12)&&!D||j?(k+=o[u].abbreviations.trillion,e/=Math.pow(10,12)):T=Math.pow(10,9)&&!D||S?(k+=o[u].abbreviations.billion,e/=Math.pow(10,9)):T=Math.pow(10,6)&&!D||N?(k+=o[u].abbreviations.million,e/=Math.pow(10,6)):(T=Math.pow(10,3)&&!D||U)&&(k+=o[u].abbreviations.thousand,e/=Math.pow(10,3)))}if(n.indexOf(\"b\")>-1)for(n.indexOf(\" b\")>-1?(C=\" \",n=n.replace(\" b\",\"\")):n=n.replace(\"b\",\"\"),s=0;s<=K.length;s++)if(a=Math.pow(1024,s),l=Math.pow(1024,s+1),e>=a&&e0&&(e/=a);break}if(n.indexOf(\"d\")>-1)for(n.indexOf(\" d\")>-1?(C=\" \",n=n.replace(\" d\",\"\")):n=n.replace(\"d\",\"\"),s=0;s<=G.length;s++)if(a=Math.pow(1e3,s),l=Math.pow(1e3,s+1),e>=a&&e0&&(e/=a);break}if(n.indexOf(\"o\")>-1&&(n.indexOf(\" o\")>-1?(L=\" \",n=n.replace(\" o\",\"\")):n=n.replace(\"o\",\"\"),o[u].ordinal&&(L+=o[u].ordinal(e))),n.indexOf(\"[.]\")>-1&&(F=!0,n=n.replace(\"[.]\",\".\")),x=e.toString().split(\".\")[0],O=n.split(\".\")[1],y=n.indexOf(\",\"),O){if(x=(I=-1!==O.indexOf(\"*\")?h(e,e.toString().split(\".\")[1].length,t):O.indexOf(\"[\")>-1?h(e,(O=(O=O.replace(\"]\",\"\")).split(\"[\"))[0].length+O[1].length,t,O[1].length):h(e,O.length,t)).split(\".\")[0],I.split(\".\")[1].length)I=(r?k+r:o[u].delimiters.decimal)+I.split(\".\")[1];else I=\"\";F&&0===Number(I.slice(1))&&(I=\"\")}else x=h(e,null,t);return x.indexOf(\"-\")>-1&&(x=x.slice(1),R=!0),x.length-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+o[u].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,r){return null!=t&&t!==a.culture()&&a.setCulture(t),p(Number(e),null!=n?n:s,null==r?Math.round:r)}}},\n function _(e,n,t,r,i){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n function _(e,n,i,a,s){var r;a();const t=e(9),c=e(148),m=e(156),_=e(157),k=e(160),o=e(161),T=e(159);class w extends m.CompositeTicker{constructor(e){super(e)}}i.DatetimeTicker=w,r=w,w.__name__=\"DatetimeTicker\",r.override({num_minor_ticks:0,tickers:()=>[new c.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*T.ONE_MILLI,num_minor_ticks:0}),new c.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:T.ONE_SECOND,max_interval:30*T.ONE_MINUTE,num_minor_ticks:0}),new 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 r=e-t,s=this.get_ideal_interval(t,e,i),n=[(0,a.sorted_index)(this.min_intervals,s)-1,(0,a.sorted_index)(this.max_intervals,s)],_=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map((t=>Math.abs(i-r/t)));let l;if((0,a.is_empty)(_.filter((t=>!isNaN(t)))))l=this.tickers[0];else{const t=n[(0,a.argmin)(_)];l=this.tickers[t]}return l}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=l,n=l,l.__name__=\"CompositeTicker\",n.define((({Array:t,Ref:e})=>({tickers:[t(e(_.ContinuousTicker)),[]]})))},\n function _(t,e,n,s,o){var a;s();const i=t(158),r=t(159),c=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*r.ONE_DAY:this.interval=31*r.ONE_DAY}get_ticks_no_defaults(t,e,n,s){const o=function(t,e){const n=(0,r.last_month_no_later_than)(new Date(t)),s=(0,r.last_month_no_later_than)(new Date(e));s.setUTCMonth(s.getUTCMonth()+1);const o=[],a=n;for(;o.push((0,r.copy_date)(a)),a.setUTCMonth(a.getUTCMonth()+1),!(a>s););return o}(t,e),a=this.days,i=this.interval,_=(0,c.concat)(o.map((t=>((t,e)=>{const n=t.getUTCMonth(),s=[];for(const o of a){const a=(0,r.copy_date)(t);a.setUTCDate(o),new Date(a.getTime()+e/2).getUTCMonth()==n&&s.push(a)}return s})(t,i))));return{major:_.map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.DaysTicker=_,a=_,_.__name__=\"DaysTicker\",a.define((({Int:t,Array:e})=>({days:[e(t),[]]}))),a.override({num_minor_ticks:0})},\n function _(e,n,t,r,i){var a;r();const l=e(149);class s extends l.ContinuousTicker{constructor(e){super(e)}get_interval(e,n,t){return this.interval}get_min_interval(){return this.interval}get_max_interval(){return this.interval}}t.SingleIntervalTicker=s,a=s,s.__name__=\"SingleIntervalTicker\",a.define((({Number:e})=>({interval:[e]})))},\n function _(t,n,e,_,E){function N(t){return new Date(t.getTime())}function O(t){const n=N(t);return n.setUTCDate(1),n.setUTCHours(0),n.setUTCMinutes(0),n.setUTCSeconds(0),n.setUTCMilliseconds(0),n}_(),e.ONE_MILLI=1,e.ONE_SECOND=1e3,e.ONE_MINUTE=60*e.ONE_SECOND,e.ONE_HOUR=60*e.ONE_MINUTE,e.ONE_DAY=24*e.ONE_HOUR,e.ONE_MONTH=30*e.ONE_DAY,e.ONE_YEAR=365*e.ONE_DAY,e.copy_date=N,e.last_month_no_later_than=O,e.last_year_no_later_than=function(t){const n=O(t);return n.setUTCMonth(0),n}},\n function _(t,e,n,a,r){var s;a();const i=t(158),o=t(159),l=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*o.ONE_MONTH:this.interval=12*o.ONE_MONTH}get_ticks_no_defaults(t,e,n,a){const r=function(t,e){const n=(0,o.last_year_no_later_than)(new Date(t)),a=(0,o.last_year_no_later_than)(new Date(e));a.setUTCFullYear(a.getUTCFullYear()+1);const r=[],s=n;for(;r.push((0,o.copy_date)(s)),s.setUTCFullYear(s.getUTCFullYear()+1),!(s>a););return r}(t,e),s=this.months;return{major:(0,l.concat)(r.map((t=>s.map((e=>{const n=(0,o.copy_date)(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=_,s=_,_.__name__=\"MonthsTicker\",s.define((({Int:t,Array:e})=>({months:[e(t),[]]})))},\n function _(e,t,a,i,r){i();const n=e(147),_=e(158),s=e(159);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=(0,s.last_year_no_later_than)(new Date(e)).getUTCFullYear(),n=(0,s.last_year_no_later_than)(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n function _(e,o,i,s,t){var 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(13),m=e(113),v=e(67),f={fill:{},line:{}},w={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},b={fill:{fill_alpha:.2},line:{}},V={fill:{fill_alpha:.2},line:{}};class x 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,y.clone)(l);return i&&(0,y.extend)(h,e.fill),s&&(0,y.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(f,o),this.selection_glyph=await this.build_glyph_view(o),a=n(b,a),this.nonselection_glyph=await this.build_glyph_view(a),null!=c&&(this.hover_glyph=await this.build_glyph_view(c)),_=n(V,_),this.muted_glyph=await this.build_glyph_view(_);const d=n(w,\"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,m.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 v.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof v.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,y,m;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],g=this.decimated_glyph,y=this.decimated_glyph,m=this.selection_glyph):(g=this.model.muted?this.muted_glyph:this.glyph,y=this.nonselection_glyph,m=this.selection_glyph),null!=this.hover_glyph&&d.length){const e=new Set(i);for(const t of d)e.delete(t);i=[...e]}if(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);y.render(s,n),m.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=x,x.__name__=\"GlyphRendererView\";class G 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=G,h=G,G.__name__=\"GlyphRenderer\",h.prototype.default_view=x,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(426))));this.glglyph=new i(t.regl_wrapper,this)}}_render(e,t,i){const{sx:s,sy:n}=null!=i?i:this;let l=null;const _=e=>null!=l&&e-l!=1;let r=!0;e.beginPath();for(const i of t){const t=s[i],o=n[i];isFinite(t+o)?r||_(i)?(e.moveTo(t,o),r=!1):e.lineTo(t,o):r=!0,l=i}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();null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}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 e=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let i=n;i>2],r=a(t,this._boxes[i],this._boxes[i+2]),_=a(s,this._boxes[i+1],this._boxes[i+3]),x=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&o.push(-e-1,x):o.push(e,x)}for(;o.length&&o.peek()<0;){if(o.peekValue()>x)return o.clear(),r;if(r.push(-o.pop()-1),r.length===i)return o.clear(),r}n=o.pop()}return o.clear(),r}}function a(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function x(t,s,i,e,h,n){if(Math.floor(e/n)>=Math.floor(h/n))return;const o=t[e+h>>1];let r=e-1,a=h+1;for(;;){do{r++}while(t[r]o);if(r>=a)break;d(t,s,i,r,a)}x(t,s,i,e,a,n),x(t,s,i,a+1,h,n)}function d(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],x=s[o+2],d=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=x,s[r+3]=d;const m=i[e];i[e]=i[h],i[h]=m}function m(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let 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 _(t,s,e,i,n){i();const h=t(1);var r;const a=t(188),_=(0,h.__importStar)(t(185)),o=(0,h.__importStar)(t(18)),l=t(72);class c extends a.AreaView{_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(n[s],h[s]);t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t)}_hit_point(t){const s=this.sy.length,e=new l.Selection;for(let i=0,n=s-1;i({x1:[o.XCoordinateSpec,{field:\"x1\"}],x2:[o.XCoordinateSpec,{field:\"x2\"}],y:[o.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 _(t,s,e,i,n){i();const h=t(1);var r;const a=t(188),_=(0,h.__importStar)(t(185)),o=(0,h.__importStar)(t(18)),l=t(72);class c extends a.AreaView{_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(i[s],h[s]);t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t)}scenterxy(t){return[this.sx[t],(this.sy1[t]+this.sy2[t])/2]}_hit_point(t){const s=this.sx.length,e=new l.Selection;for(let i=0,n=s-1;i({x:[o.XCoordinateSpec,{field:\"x\"}],y1:[o.YCoordinateSpec,{field:\"y1\"}],y2:[o.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 _(e,n,s,t,l){var i;t();const r=e(171),o=e(12),c=e(9);class a extends r.ScanningColorMapper{constructor(e){super(e)}scan(e,n){let s=null!=this.low?this.low:(0,o.min)(e);const t=null!=this.high?this.high:(0,o.max)(e),l=this.bins,i=(0,c.linspace)(s,t,l+1),r=(0,o.bin_counts)(e,i);let a=0;for(let e=0;e1&&(f=1-n)}const d=(0,c.linspace)(f,1,n+1),g=(0,o.interpolate)(d,p,_);return this.rescale_discrete_levels?s=g[0]:g[0]=s,g[g.length-1]=t,{min:s,max:t,binning:g}}}s.EqHistColorMapper=a,i=a,a.__name__=\"EqHistColorMapper\",i.define((({Boolean:e,Int:n})=>({bins:[n,65536],rescale_discrete_levels:[e,!1]})))},\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 180*Math.atan2(r,n)/Math.PI}q.prototype={handler:function(){},init:function(){this.evEl&&I(this.element,this.evEl,this.domHandler),this.evTarget&&I(this.target,this.evTarget,this.domHandler),this.evWin&&I(O(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&A(this.element,this.evEl,this.domHandler),this.evTarget&&A(this.target,this.evTarget,this.domHandler),this.evWin&&A(O(this.element),this.evWin,this.domHandler)}};var Z={mousedown:1,mousemove:2,mouseup:4},B=\"mousedown\",$=\"mousemove mouseup\";function J(){this.evEl=B,this.evWin=$,this.pressed=!1,q.apply(this,arguments)}g(J,q,{handler:function(t){var e=Z[t.type];1&e&&0===t.button&&(this.pressed=!0),2&e&&1!==t.which&&(e=4),this.pressed&&(4&e&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:X,srcEvent:t}))}});var K={pointerdown:1,pointermove:2,pointerup:4,pointercancel:8,pointerout:8},Q={2:N,3:\"pen\",4:X,5:\"kinect\"},tt=\"pointerdown\",et=\"pointermove pointerup pointercancel\";function it(){this.evEl=tt,this.evWin=et,q.apply(this,arguments),this.store=this.manager.session.pointerEvents=[]}t.MSPointerEvent&&!t.PointerEvent&&(tt=\"MSPointerDown\",et=\"MSPointerMove MSPointerUp MSPointerCancel\"),g(it,q,{handler:function(t){var e=this.store,i=!1,n=t.type.toLowerCase().replace(\"ms\",\"\"),r=K[n],s=Q[t.pointerType]||t.pointerType,o=s==N,a=b(e,t.pointerId,\"pointerId\");1&r&&(0===t.button||o)?a<0&&(e.push(t),a=e.length-1):12&r&&(i=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:s,srcEvent:t}),i&&e.splice(a,1))}});var nt={touchstart:1,touchmove:2,touchend:4,touchcancel:8},rt=\"touchstart\",st=\"touchstart touchmove touchend touchcancel\";function ot(){this.evTarget=rt,this.evWin=st,this.started=!1,q.apply(this,arguments)}function at(t,e){var i=P(t.touches),n=P(t.changedTouches);return 12&e&&(i=D(i.concat(n),\"identifier\",!0)),[i,n]}g(ot,q,{handler:function(t){var 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 n(i){e.manager.emit(i,t)}i<8&&n(e.options.event+Dt(i)),n(e.options.event),t.additionalEvent&&n(t.additionalEvent),i>=8&&n(e.options.event+Dt(i))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=bt},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return Ot.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=xt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(Mt,Ot,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(zt,Pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[yt]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distancee.time;if(this._input=t,!n||!i||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return bt},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Nt,Ot,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return 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 s=e.getTransform();e.setTransform(this._base_transform);try{t(e)}finally{e.setTransform(s)}}}prepare(){const{ctx:t,hidpi:e,pixel_ratio:s}=this;t.save(),e&&(t.scale(s,s),t.translate(.5,.5)),void 0!==t.getTransform&&(this._base_transform=t.getTransform()),this.clear()}clear(){const{x:t,y:e,width:s,height:i}=this.bbox;this.ctx.clearRect(t,e,s,i)}finish(){this.ctx.restore()}to_blob(){const{_canvas:t}=this;if(t instanceof HTMLCanvasElement)return null!=t.msToBlob?Promise.resolve(t.msToBlob()):new Promise(((e,s)=>{t.toBlob((t=>null!=t?e(t):s()),\"image/png\")}));{const t=this._ctx.get_serialized_svg(!0),e=new Blob([t],{type:\"image/svg+xml\"});return Promise.resolve(e)}}}s.CanvasLayer=c,c.__name__=\"CanvasLayer\"},\n function _(t,e,i,s,r){s();const n=t(122),a=t(8),o=t(237),l=t(10),h=t(43);function _(t){var e;const i={left:\"start\",right:\"end\",center:\"middle\",start:\"start\",end:\"end\"};return null!==(e=i[t])&&void 0!==e?e:i.start}function c(t){var e;const i={alphabetic:\"alphabetic\",hanging:\"hanging\",top:\"text-before-edge\",bottom:\"text-after-edge\",middle:\"central\"};return null!==(e=i[t])&&void 0!==e?e:i.alphabetic}const p=function(t,e){const i=new Map,s=t.split(\",\");e=null!=e?e:10;for(let t=0;t=0?Math.acos(e):-Math.acos(e)}const v=b(f),A=b(g);this.lineTo(d+f[0]*r,m+f[1]*r),this.arc(d,m,r,v,A)}stroke(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"fill\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"stroke\"),null!=this._clip_path&&this.__currentElement.setAttribute(\"clip-path\",this._clip_path)}fill(t,e){let i=null;if(t instanceof Path2D)i=t;else{if(\"evenodd\"!=t&&\"nonzero\"!=t&&null!=t||null!=e)throw new Error(\"invalid arguments\");e=t}if(null!=i)throw new Error(\"not implemented\");\"none\"!=this.__currentElement.getAttribute(\"fill\")&&this.__init_element(),\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"stroke\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"fill\"),null!=e&&this.__currentElement.setAttribute(\"fill-rule\",e),null!=this._clip_path&&this.__currentElement.setAttribute(\"clip-path\",this._clip_path)}rect(t,e,i,s){isFinite(t+e+i+s)&&(this.moveTo(t,e),this.lineTo(t+i,e),this.lineTo(t+i,e+s),this.lineTo(t,e+s),this.lineTo(t,e))}fillRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.fill())}strokeRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.stroke())}__clearCanvas(){(0,h.empty)(this.__defs),(0,h.empty)(this.__root),this.__root.appendChild(this.__defs),this.__currentElement=this.__root}clearRect(t,e,i,s){if(!isFinite(t+e+i+s))return;if(0===t&&0===e&&i===this.width&&s===this.height)return void this.__clearCanvas();const r=this.__createElement(\"rect\",{x:t,y:e,width:i,height:s,fill:\"#FFFFFF\"},!0);this._apply_transform(r),this.__root.appendChild(r)}createLinearGradient(t,e,i,s){if(!isFinite(t+e+i+s))throw new Error(\"The provided double value is non-finite\");const[r,n]=this._transform.apply(t,e),[a,o]=this._transform.apply(i,s),l=this.__createElement(\"linearGradient\",{id:this._random_string(),x1:`${r}px`,x2:`${a}px`,y1:`${n}px`,y2:`${o}px`,gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(l),new d(l,this)}createRadialGradient(t,e,i,s,r,n){if(!isFinite(t+e+i+s+r+n))throw new Error(\"The provided double value is non-finite\");const[a,o]=this._transform.apply(t,e),[l,h]=this._transform.apply(s,r),_=this.__createElement(\"radialGradient\",{id:this._random_string(),cx:`${l}px`,cy:`${h}px`,r:`${n}px`,r0:`${i}px`,fx:`${a}px`,fy:`${o}px`,gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(_),new d(_,this)}__parseFont(){var t,e,i,s,r;const n=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font);return{style:null!==(t=n[1])&&void 0!==t?t:\"normal\",size:null!==(e=n[4])&&void 0!==e?e:\"10px\",family:null!==(i=n[6])&&void 0!==i?i:\"sans-serif\",weight:null!==(s=n[3])&&void 0!==s?s:\"normal\",decoration:null!==(r=n[2])&&void 0!==r?r:\"normal\"}}__applyText(t,e,i,s){const r=this.__parseFont(),n=this.__createElement(\"text\",{\"font-family\":r.family,\"font-size\":r.size,\"font-style\":r.style,\"font-weight\":r.weight,\"text-decoration\":r.decoration,x:e,y:i,\"text-anchor\":_(this.textAlign),\"dominant-baseline\":c(this.textBaseline)},!0);n.appendChild(this.__document.createTextNode(t)),this._apply_transform(n),this.__currentElement=n,this.__applyStyleToCurrentElement(s);const a=(()=>{if(null!=this._clip_path){const t=this.__createElement(\"g\");return t.setAttribute(\"clip-path\",this._clip_path),t.appendChild(n),t}return n})();this.__root.appendChild(a)}fillText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"fill\")}strokeText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,i,s,r,n=!1){this.ellipse(t,e,i,i,0,s,r,n)}ellipse(t,e,i,s,r,n,a,o=!1){if(!isFinite(t+e+i+s+r+n+a))return;if(i<0||s<0)throw new DOMException(\"IndexSizeError, radius can't be negative\");const h=o?a-n:n-a;n%=2*Math.PI,a%=2*Math.PI;const _=t+i*Math.cos(n),c=e+s*Math.sin(n);this.lineTo(_,c);const p=180*r/Math.PI,u=o?0:1;if(Math.abs(n-a)<2*l.float32_epsilon&&!(Math.abs(h)<2*l.float32_epsilon&&h<0)){const r=t+i*Math.cos(n+Math.PI),a=e+s*Math.sin(n+Math.PI),[o,l]=this._transform.apply(_,c),[h,d]=this._transform.apply(r,a);this.__addPathCommand(o,l,`A ${i} ${s} ${p} 0 ${u} ${h} ${d} A ${i} ${s} ${p} 0 ${u} ${o} ${l}`)}else{const r=t+i*Math.cos(a),l=e+s*Math.sin(a);let h=a-n;h<0&&(h+=2*Math.PI);const _=o!==h>Math.PI?1:0,[c,d]=this._transform.apply(r,l);this.__addPathCommand(c,d,`A ${i} ${s} ${p} ${_} ${u} ${c} ${d}`)}}clip(){const t=this.__createElement(\"clipPath\"),e=this._random_string();this.__applyCurrentDefaultPath(),t.setAttribute(\"id\",e),t.appendChild(this.__currentElement),this.__defs.appendChild(t),this._clip_path=`url(#${e})`}drawImage(t,...e){let i,s,r,n,a,o,l,h;if(2==e.length){if([i,s]=e,!isFinite(i+s))return;a=0,o=0,l=t.width,h=t.height,r=l,n=h}else if(4==e.length){if([i,s,r,n]=e,!isFinite(i+s+r+n))return;a=0,o=0,l=t.width,h=t.height}else{if(8!==e.length)throw new Error(`Inavlid number of arguments passed to drawImage: ${arguments.length}`);if([a,o,l,h,i,s,r,n]=e,!isFinite(a+o+l+h+i+s+r+n))return}const _=this.__root,c=this._transform.clone().translate(i,s);if(t instanceof f||t instanceof SVGSVGElement){const e=(t instanceof SVGSVGElement?t:t.get_svg()).cloneNode(!0);let i;c.is_identity&&1==this.globalAlpha&&null==this._clip_path?i=_:(i=this.__createElement(\"g\"),c.is_identity||this._apply_transform(i,c),1!=this.globalAlpha&&i.setAttribute(\"opacity\",`${this.globalAlpha}`),null!=this._clip_path&&i.setAttribute(\"clip-path\",this._clip_path),_.appendChild(i));for(const t of[...e.childNodes])if(t instanceof SVGDefsElement){for(const e of[...t.childNodes])if(e instanceof Element){const t=e.getAttribute(\"id\");this.__ids.add(t),this.__defs.appendChild(e.cloneNode(!0))}}else i.appendChild(t.cloneNode(!0))}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",`${r}`),e.setAttribute(\"height\",`${n}`),e.setAttribute(\"preserveAspectRatio\",\"none\"),1!=this.globalAlpha&&e.setAttribute(\"opacity\",`${this.globalAlpha}`),a||o||l!==t.width||h!==t.height){const e=this.__document.createElement(\"canvas\");e.width=r,e.height=n;e.getContext(\"2d\").drawImage(t,a,o,l,h,0,0,r,n),t=e}this._apply_transform(e,c);const i=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");if(e.setAttribute(\"href\",i),null!=this._clip_path){const t=this.__createElement(\"g\");t.setAttribute(\"clip-path\",this._clip_path),t.appendChild(e),_.appendChild(t)}else _.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",`${r}`),e.setAttribute(\"height\",`${n}`),e.setAttribute(\"preserveAspectRatio\",\"none\"),1!=this.globalAlpha&&e.setAttribute(\"opacity\",`${this.globalAlpha}`);const i=this.__document.createElement(\"canvas\");i.width=r,i.height=n;const s=i.getContext(\"2d\");if(s.imageSmoothingEnabled=!1,s.drawImage(t,a,o,l,h,0,0,r,n),t=i,this._apply_transform(e,c),e.setAttribute(\"href\",t.toDataURL()),null!=this._clip_path){const t=this.__createElement(\"g\");t.setAttribute(\"clip-path\",this._clip_path),t.appendChild(e),_.appendChild(t)}else _.appendChild(e)}}createPattern(t,e){const i=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),s=this._random_string();if(i.setAttribute(\"id\",s),i.setAttribute(\"width\",`${this._to_number(t.width)}`),i.setAttribute(\"height\",`${this._to_number(t.height)}`),i.setAttribute(\"patternUnits\",\"userSpaceOnUse\"),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttribute(\"href\",s),i.appendChild(e),this.__defs.appendChild(i)}else if(t instanceof f){for(const e of[...t.__root.childNodes])e instanceof SVGDefsElement||i.appendChild(e.cloneNode(!0));this.__defs.appendChild(i)}else{if(!(t instanceof SVGSVGElement))throw new Error(\"unsupported\");for(const e of[...t.childNodes])e instanceof SVGDefsElement||i.appendChild(e.cloneNode(!0));this.__defs.appendChild(i)}return new m(i,this)}getLineDash(){const{lineDash:t}=this;return(0,a.isString)(t)?t.split(\",\").map((t=>parseInt(t))):null==t?[]:t}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}_to_number(t){return(0,a.isNumber)(t)?t:t.baseVal.value}getTransform(){return this._transform.to_DOMMatrix()}setTransform(...t){let e;e=(0,a.isNumber)(t[0])?new DOMMatrix(t):t[0]instanceof DOMMatrix?t[0]:new DOMMatrix(Object.values(!t[0])),this._transform=n.AffineTransform.from_DOMMatrix(e)}resetTransform(){this._transform=new n.AffineTransform}isPointInPath(...t){throw new Error(\"not implemented\")}isPointInStroke(...t){throw new Error(\"not implemented\")}createImageData(...t){throw new Error(\"not implemented\")}getImageData(t,e,i,s){throw new Error(\"not implemented\")}putImageData(...t){throw new Error(\"not implemented\")}drawFocusIfNeeded(...t){throw new Error(\"not implemented\")}scrollPathIntoView(...t){throw new Error(\"not implemented\")}}i.SVGRenderingContext2D=f,f.__name__=\"SVGRenderingContext2D\",f.__random=o.random},\n function _(e,t,s,n,r){n();const o=2147483647;class i{constructor(e){this.seed=e%o,this.seed<=0&&(this.seed+=2147483646)}integer(){return this.seed=48271*this.seed%o,this.seed}float(){return(this.integer()-1)/2147483646}floats(e,t=0,s=1){const n=new Array(e);for(let r=0;rthis.doit(o)))}}n.ActionToolView=_,_.__name__=\"ActionToolView\";class d extends s.ButtonTool{constructor(o){super(o),this.button_view=l,this.do=new c.Signal(this,\"do\")}}n.ActionTool=d,d.__name__=\"ActionTool\"},\n function _(o,e,t,l,i){var s;l();const n=o(238),r=o(228);class c extends n.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=c,c.__name__=\"HelpToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=r.tool_icon_help}}t.HelpTool=_,s=_,_.__name__=\"HelpTool\",s.prototype.default_view=c,s.define((({String:o})=>({redirect:[o,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}))),s.override({description:\"Click the question mark to learn more about Bokeh plot tools.\"}),s.register_alias(\"help\",(()=>new _))},\n function _(o,l,g,A,r){A(),g.root=\"bk-root\",g.logo=\"bk-logo\",g.grey=\"bk-grey\",g.logo_small=\"bk-logo-small\",g.logo_notebook=\"bk-logo-notebook\",g.default=\".bk-root .bk-logo{margin:5px;position:relative;display:block;background-repeat:no-repeat;}.bk-root .bk-logo.bk-grey{filter:url(\\\"data:image/svg+xml;utf8,#grayscale\\\");filter:gray;-webkit-filter:grayscale(100%);}.bk-root .bk-logo-small{width:20px;height:20px;background-image:url(data:image/png;base64,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);}.bk-root .bk-logo-notebook{display:inline-block;vertical-align:middle;margin-right:5px;}\"},\n function _(e,t,s,i,l){i();const o=e(1);var n;const a=e(40),h=e(20),r=e(43),c=(0,o.__importStar)(e(242)),d=c;class p extends a.AnnotationView{initialize(){super.initialize(),this.el=(0,r.div)({class:d.tooltip}),(0,r.undisplay)(this.el),this.plot_view.canvas_view.add_overlay(this.el)}remove(){(0,r.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.content.change,(()=>this.render())),this.connect(this.model.properties.position.change,(()=>this._reposition()))}styles(){return[...super.styles(),c.default]}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{content:e}=this.model;null!=e?((0,r.empty)(this.el),(0,r.classes)(this.el).toggle(\"bk-tooltip-custom\",this.model.custom),this.el.appendChild(e),this.model.show_arrow&&this.el.classList.add(d.tooltip_arrow)):(0,r.undisplay)(this.el)}_reposition(){const{position:e}=this.model;if(null==e)return void(0,r.undisplay)(this.el);const[t,s]=e,i=(()=>{const e=this.parent.layout.bbox.relative(),{attachment:i}=this.model;switch(i){case\"horizontal\":return t({attachment:[h.TooltipAttachment,\"horizontal\"],inner_only:[e,!0],show_arrow:[e,!0]}))),n.internal((({Boolean:e,Number:t,Tuple:s,Ref:i,Nullable:l})=>({position:[l(s(t,t)),null],content:[i(HTMLElement),()=>(0,r.div)()],custom:[e]}))),n.override({level:\"overlay\"})},\n function _(o,t,r,e,l){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.left=\"bk-left\",r.tooltip_arrow=\"bk-tooltip-arrow\",r.right=\"bk-right\",r.above=\"bk-above\",r.below=\"bk-below\",r.tooltip_row_label=\"bk-tooltip-row-label\",r.tooltip_row_value=\"bk-tooltip-row-value\",r.tooltip_color_block=\"bk-tooltip-color-block\",r.default='.bk-root{}.bk-root .bk-tooltip{font-weight:300;font-size:12px;position:absolute;padding:5px;border:1px solid #e5e5e5;color:#2f2f2f;background-color:white;pointer-events:none;opacity:0.95;z-index:100;}.bk-root .bk-tooltip > div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}'},\n function _(e,t,s,i,r){var a;i();const l=e(115),_=e(112),h=e(113),o=e(48);class n extends l.UpperLowerView{async lazy_initialize(){await super.lazy_initialize();const{lower_head:e,upper_head:t}=this.model;null!=e&&(this.lower_head=await(0,h.build_view)(e,{parent:this})),null!=t&&(this.upper_head=await(0,h.build_view)(t,{parent:this}))}set_data(e){var t,s;super.set_data(e),null===(t=this.lower_head)||void 0===t||t.set_data(e),null===(s=this.upper_head)||void 0===s||s.set_data(e)}paint(e){if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t({lower_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})],upper_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})]}))),a.override({level:\"underlay\"})},\n function _(n,o,t,u,e){u(),e(\"CustomJS\",n(245).CustomJS),e(\"OpenURL\",n(247).OpenURL)},\n function _(t,e,s,n,c){var a;n();const r=t(246),u=t(13),o=t(34);class i extends r.Callback{constructor(t){super(t)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const t=(0,o.use_strict)(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,a=i,i.__name__=\"CustomJS\",a.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))},\n function _(c,a,l,n,s){n();const e=c(53);class o extends e.Model{constructor(c){super(c)}}l.Callback=o,o.__name__=\"Callback\"},\n function _(e,t,n,o,i){var s;o();const c=e(246),r=e(152),a=e(8);class d extends 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 l,r=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)&&r(t,e,i);return n(t,e),t};s();const h=e(14),c=e(28),u=e(226),_=e(19),d=e(43),p=e(20),b=e(13),v=e(250),g=e(65),w=e(138),y=e(235);const f=(()=>{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,w.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};_.logger.trace(\"WebGL is supported, but not the required extensions\")}else _.logger.trace(\"WebGL is supported, but bokehjs(.min).js bundle is not available\")}else _.logger.trace(\"WebGL is not supported\");return null}()})(),m={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class x extends u.DOMView{constructor(){super(...arguments),this.bbox=new g.BBox,this.webgl=null}initialize(){super.initialize(),this.underlays_el=(0,d.div)({style:m}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=(0,d.div)({style:m}),this.events_el=(0,d.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,b.extend)(this.el.style,m),(0,d.append)(this.el,...e),this.ui_event_bus=new v.UIEventBus(this)}async lazy_initialize(){if(await super.lazy_initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=await f(),c.settings.force_webgl&&null==this.webgl))throw new Error(\"webgl is not available\")}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 g.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,l,r,n]=e,{xview:o,yview:h}=this.bbox,c=o.compute(a),u=h.compute(l+n),_=this.pixel_ratio;t.regl_wrapper.set_scissor(_*c,_*u,_*r,_*n),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(_.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 y.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}i.CanvasView=x,x.__name__=\"CanvasView\";class z extends h.HasProps{constructor(e){super(e)}}i.Canvas=z,l=z,z.__name__=\"Canvas\",l.prototype.default_view=x,l.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[p.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,a;const _=t.model.toolbar.gestures,h=e.name.split(\":\")[0],o=this._hit_test_renderers(t,s.sx,s.sy),l=this._hit_test_canvas(t,s.sx,s.sy);switch(h){case\"move\":{const n=_.move.active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let a=\"default\";null!=o?(a=null!==(i=o.cursor(s.sx,s.sy))&&void 0!==i?i:a,(0,p.is_empty)(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&((0,p.is_empty)(r)||(a=\"crosshair\")),this.set_cursor(a),t.set_toolbar_visibility(l),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:i}=n;if(null!=i&&i!=this.hit_area)return;if(null===(r=null==o?void 0:o.on_hit)||void 0===r||r.call(o,s.sx,s.sy),this._hit_test_frame(t,s.sx,s.sy)){const t=_.tap.active;null!=t&&this.trigger(e,s,t.id)}break}case\"doubletap\":if(this._hit_test_frame(t,s.sx,s.sy)){const t=null!==(a=_.doubletap.active)&&void 0!==a?a:_.tap.active;null!=t&&this.trigger(e,s,t.id)}break;case\"scroll\":{const t=_[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=_.pan.active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=_[h].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 Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=P,P.__name__=\"Pinch\",s.Pinch=P=a([o(\"pinch\")],P);let O=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=O,O.__name__=\"Rotate\",s.Rotate=O=a([o(\"rotate\")],O);let b=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=b,b.__name__=\"MouseWheel\",s.MouseWheel=b=a([o(\"wheel\")],b);let v=class extends y{};s.MouseMove=v,v.__name__=\"MouseMove\",s.MouseMove=v=a([o(\"mousemove\")],v);let E=class extends y{};s.MouseEnter=E,E.__name__=\"MouseEnter\",s.MouseEnter=E=a([o(\"mouseenter\")],E);let R=class extends y{};s.MouseLeave=R,R.__name__=\"MouseLeave\",s.MouseLeave=R=a([o(\"mouseleave\")],R);let M=class extends 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 3.1.13\n *\n * Copyright jQuery Foundation and other contributors\n * Released under the MIT license\n * http://jquery.org/license\n */\n function u(t){const e=getComputedStyle(t).fontSize;return null!=e?parseInt(e,10):null}l(),n.getDeltaY=function(t){let e=-t.deltaY;if(t.target instanceof HTMLElement)switch(t.deltaMode){case t.DOM_DELTA_LINE:e*=(n=t.target,null!==(a=null!==(o=u(null!==(l=n.offsetParent)&&void 0!==l?l:document.body))&&void 0!==o?o:u(n))&&void 0!==a?a:16);break;case t.DOM_DELTA_PAGE:e*=function(t){return t.clientHeight}(t.target)}var n,l,o,a;return e}},\n function _(m,o,n,r,a){r(),a(\"Expression\",m(254).Expression),a(\"CustomJSExpr\",m(255).CustomJSExpr),a(\"Stack\",m(256).Stack),a(\"CumSum\",m(257).CumSum),a(\"ScalarExpression\",m(254).ScalarExpression),a(\"Minimum\",m(258).Minimum),a(\"Maximum\",m(259).Maximum);var s=m(260);a(\"XComponent\",s.XComponent),a(\"YComponent\",s.YComponent),a(\"PolarTransform\",m(261).PolarTransform)},\n function _(e,t,s,i,r){i();const n=e(53);class _ extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._result=new Map}v_compute(e){let t=this._result.get(e);return(void 0===t||e.changed_for(this))&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=_,_.__name__=\"Expression\";class o extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._result=new Map}compute(e){let t=this._result.get(e);return(void 0===t||e.changed_for(this))&&(t=this._compute(e),this._result.set(e,t)),t}}s.ScalarExpression=o,o.__name__=\"ScalarExpression\"},\n function _(e,s,t,n,r){var a;n();const o=e(14),c=e(254),i=e(24),u=e(9),l=e(13),h=e(34),g=e(8);class p extends c.Expression{constructor(e){super(e)}connect_signals(){super.connect_signals();for(const e of(0,l.values)(this.args))e instanceof o.HasProps&&e.change.connect((()=>{this._result.clear(),this.change.emit()}))}get names(){return(0,l.keys)(this.args)}get values(){return(0,l.values)(this.args)}get func(){const e=(0,h.use_strict)(this.code);return new i.GeneratorFunction(...this.names,e)}_v_compute(e){const s=this.func.apply(e,this.values);let t=s.next();if(t.done&&void 0!==t.value){const{value:s}=t;return(0,g.isArray)(s)||(0,g.isTypedArray)(s)?s:(0,g.isIterable)(s)?[...s]:(0,u.repeat)(s,e.length)}{const e=[];do{e.push(t.value),t=s.next()}while(!t.done);return e}}}t.CustomJSExpr=p,a=p,p.__name__=\"CustomJSExpr\",a.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n function _(t,n,e,o,r){var s;o();const a=t(254);class c extends a.Expression{constructor(t){super(t)}_v_compute(t){var n;const e=null!==(n=t.get_length())&&void 0!==n?n:0,o=new Float64Array(e);for(const n of this.fields){const r=t.data[n];if(null!=r){const t=Math.min(e,r.length);for(let n=0;n({fields:[n(t),[]]})))},\n function _(e,n,t,o,r){var i;o();const l=e(254);class u extends l.Expression{constructor(e){super(e)}_v_compute(e){var n;const t=new Float64Array(null!==(n=e.get_length())&&void 0!==n?n:0),o=e.data[this.field],r=this.include_zero?1:0;t[0]=this.include_zero?0:o[0];for(let e=1;e({field:[n],include_zero:[e,!1]})))},\n function _(i,n,l,t,e){var a;t();const u=i(254),r=i(9);class s extends u.ScalarExpression{constructor(i){super(i)}_compute(i){var n,l;const t=null!==(n=i.data[this.field])&&void 0!==n?n:[];return Math.min(null!==(l=this.initial)&&void 0!==l?l:1/0,(0,r.min)(t))}}l.Minimum=s,a=s,s.__name__=\"Minimum\",a.define((({Number:i,String:n,Nullable:l})=>({field:[n],initial:[l(i),null]})))},\n function _(i,a,n,l,t){var e;l();const u=i(254),r=i(9);class s extends u.ScalarExpression{constructor(i){super(i)}_compute(i){var a,n;const l=null!==(a=i.data[this.field])&&void 0!==a?a:[];return Math.max(null!==(n=this.initial)&&void 0!==n?n:-1/0,(0,r.max)(l))}}n.Maximum=s,e=s,s.__name__=\"Maximum\",e.define((({Number:i,String:a,Nullable:n})=>({field:[a],initial:[n(i),null]})))},\n function _(n,e,t,o,r){var s;o();const _=n(254);class m extends _.Expression{constructor(n){super(n)}get x(){return new c({transform:this})}get y(){return new u({transform:this})}}t.CoordinateTransform=m,m.__name__=\"CoordinateTransform\";class a extends _.Expression{constructor(n){super(n)}}t.XYComponent=a,s=a,a.__name__=\"XYComponent\",s.define((({Ref:n})=>({transform:[n(m)]})));class c extends a{constructor(n){super(n)}_v_compute(n){return this.transform.v_compute(n).x}}t.XComponent=c,c.__name__=\"XComponent\";class u extends a{constructor(n){super(n)}_v_compute(n){return this.transform.v_compute(n).y}}t.YComponent=u,u.__name__=\"YComponent\"},\n function _(r,t,n,e,o){e();const i=r(1);var a;const s=r(260),c=r(20),l=(0,i.__importStar)(r(18));class d extends s.CoordinateTransform{constructor(r){super(r)}_v_compute(r){const t=this.properties.radius.uniform(r),n=this.properties.angle.uniform(r),e=\"anticlock\"==this.direction?-1:1,o=Math.min(t.length,n.length),i=new Float64Array(o),a=new Float64Array(o);for(let r=0;r({radius:[l.DistanceSpec,{field:\"radius\"}],angle:[l.AngleSpec,{field:\"angle\"}],direction:[c.Direction,\"anticlock\"]})))},\n function _(e,t,l,r,i){r(),i(\"BooleanFilter\",e(263).BooleanFilter),i(\"CustomJSFilter\",e(264).CustomJSFilter),i(\"Filter\",e(191).Filter),i(\"GroupFilter\",e(265).GroupFilter),i(\"IndexFilter\",e(266).IndexFilter)},\n function _(e,n,l,o,s){var t;o();const a=e(191),r=e(24);class c extends a.Filter{constructor(e){super(e)}compute_indices(e){const n=e.length,{booleans:l}=this;return null==l?r.Indices.all_set(n):r.Indices.from_booleans(n,l)}}l.BooleanFilter=c,t=c,c.__name__=\"BooleanFilter\",t.define((({Boolean:e,Array:n,Nullable:l})=>({booleans:[l(n(e)),null]})))},\n function _(e,n,r,s,t){var i;s();const o=e(191),c=e(24),u=e(13),a=e(8),l=e(34);class f extends o.Filter{constructor(e){super(e)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const e=(0,l.use_strict)(this.code);return new Function(...this.names,\"source\",e)}compute_indices(e){const n=e.length,r=this.func(...this.values,e);if(null==r)return c.Indices.all_set(n);if((0,a.isArrayOf)(r,a.isInteger))return c.Indices.from_indices(n,r);if((0,a.isArrayOf)(r,a.isBoolean))return c.Indices.from_booleans(n,r);throw new Error(`expect an array of integers or booleans, or null, got ${r}`)}}r.CustomJSFilter=f,i=f,f.__name__=\"CustomJSFilter\",i.define((({Unknown:e,String:n,Dict:r})=>({args:[r(e),{}],code:[n,\"\"]})))},\n function _(n,e,t,o,r){var u;o();const s=n(191),c=n(24),i=n(19);class l extends s.Filter{constructor(n){super(n)}compute_indices(n){const e=n.get_column(this.column_name);if(null==e)return i.logger.warn(`${this}: groupby column '${this.column_name}' not found in the data source`),new c.Indices(n.length,1);{const t=new c.Indices(n.length);for(let n=0;n({column_name:[n],group:[n]})))},\n function _(e,n,i,s,t){var l;s();const c=e(191),r=e(24);class d extends c.Filter{constructor(e){super(e)}compute_indices(e){const n=e.length,{indices:i}=this;return null==i?r.Indices.all_set(n):r.Indices.from_indices(n,i)}}i.IndexFilter=d,l=d,d.__name__=\"IndexFilter\",l.define((({Int:e,Array:n,Nullable:i})=>({indices:[i(n(e)),null]})))},\n function _(e,a,l,i,t){i(),t(\"AnnularWedge\",e(268).AnnularWedge),t(\"Annulus\",e(269).Annulus),t(\"Arc\",e(270).Arc),t(\"Bezier\",e(271).Bezier),t(\"Circle\",e(272).Circle),t(\"Ellipse\",e(273).Ellipse),t(\"EllipseOval\",e(274).EllipseOval),t(\"Glyph\",e(179).Glyph),t(\"HArea\",e(187).HArea),t(\"HBar\",e(276).HBar),t(\"HexTile\",e(278).HexTile),t(\"Image\",e(279).Image),t(\"ImageRGBA\",e(281).ImageRGBA),t(\"ImageURL\",e(282).ImageURL),t(\"Line\",e(177).Line),t(\"MultiLine\",e(283).MultiLine),t(\"MultiPolygons\",e(284).MultiPolygons),t(\"Oval\",e(285).Oval),t(\"Patch\",e(186).Patch),t(\"Patches\",e(286).Patches),t(\"Quad\",e(287).Quad),t(\"Quadratic\",e(288).Quadratic),t(\"Ray\",e(289).Ray),t(\"Rect\",e(290).Rect),t(\"Scatter\",e(291).Scatter),t(\"Segment\",e(294).Segment),t(\"Spline\",e(295).Spline),t(\"Step\",e(297).Step),t(\"Text\",e(298).Text),t(\"VArea\",e(189).VArea),t(\"VBar\",e(299).VBar),t(\"Wedge\",e(300).Wedge)},\n function _(e,s,t,i,r){i();const n=e(1);var a;const _=e(178),o=e(184),d=e(48),u=e(24),h=e(20),c=(0,n.__importStar)(e(18)),l=e(10),g=e(72),p=e(12);class x extends _.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),this.max_souter_radius=(0,p.max)(this.souter_radius)}_render(e,s,t){const{sx:i,sy:r,start_angle:n,end_angle:a,sinner_radius:_,souter_radius:o}=null!=t?t:this,d=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],u=r[t],h=_[t],c=o[t],l=n.get(t),g=a.get(t);if(!isFinite(s+u+h+c+l+g))continue;const p=g-l;e.translate(s,u),e.rotate(l),e.beginPath(),e.moveTo(c,0),e.arc(0,0,c,0,p,d),e.rotate(p),e.lineTo(h,0),e.arc(0,0,h,0,-p,!d),e.closePath(),e.rotate(-p-l),e.translate(-s,-u),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t)}}_hit_point(e){const{sx:s,sy:t}=e,i=this.renderer.xscale.invert(s),r=this.renderer.yscale.invert(t),n=s-this.max_souter_radius,a=s+this.max_souter_radius,[_,o]=this.renderer.xscale.r_invert(n,a),d=t-this.max_souter_radius,u=t+this.max_souter_radius,[h,c]=this.renderer.yscale.r_invert(d,u),p=[];for(const e of this.index.indices({x0:_,x1:o,y0:h,y1:c})){const s=this.souter_radius[e]**2,t=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]),d=(n-a)**2+(_-o)**2;d<=s&&d>=t&&p.push(e)}const x=\"anticlock\"==this.model.direction,m=[];for(const e of p){const i=Math.atan2(t-this.sy[e],s-this.sx[e]);(0,l.angle_between)(-i,-this.start_angle.get(e),-this.end_angle.get(e),x)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,o.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=(this.sinner_radius[e]+this.souter_radius[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.AnnularWedgeView=x,x.__name__=\"AnnularWedgeView\";class m extends _.XYGlyph{constructor(e){super(e)}}t.AnnularWedge=m,a=m,m.__name__=\"AnnularWedge\",a.prototype.default_view=x,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],inner_radius:[c.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[c.DistanceSpec,{field:\"outer_radius\"}],start_angle:[c.AngleSpec,{field:\"start_angle\"}],end_angle:[c.AngleSpec,{field:\"end_angle\"}]})))},\n function _(s,e,i,r,t){r();const n=s(1);var a;const u=s(178),o=s(24),_=s(48),d=(0,n.__importStar)(s(18)),h=s(27),c=s(72);class l extends 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),_=s(20),c=(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&&i.regl_wrapper.has_webgl){const{CircleGL:e}=await Promise.resolve().then((()=>(0,a.__importStar)(s(423))));this.glglyph=new e(i.regl_wrapper,this)}}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,_=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:n,x1:h,y0:d,y1:l}),c=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of _){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&&c.push(s)}else for(const s of _){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&c.push(s)}return new m.Selection({indices:c})}_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:[_.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,r){i();const h=t(1);var a;const n=t(277),_=t(24),o=(0,h.__importStar)(t(18));class l extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}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],r=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+r,i-r]}_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 _.ScreenArray(t),this.sbottom=new _.ScreenArray(t);for(let e=0;e({left:[o.XCoordinateSpec,{value:0}],y:[o.YCoordinateSpec,{field:\"y\"}],height:[o.NumberSpec,{value:1}],right:[o.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(0,n.__importStar)(e(425))));this.glglyph=new s(t.regl_wrapper,this)}}scenterxy(e){return[this.sx[e],this.sy[e]]}_set_data(){const{orientation:e,size:t,aspect_scale:s}=this.model,{q:i,r}=this,n=this.q.length;this._x=new Float64Array(n),this._y=new Float64Array(n);const{_x:a,_y:l}=this,o=Math.sqrt(3);if(\"pointytop\"==e)for(let e=0;e({r:[c.NumberSpec,{field:\"r\"}],q:[c.NumberSpec,{field:\"q\"}],scale:[c.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,i,o,r){o();const s=t(1);var a;const n=t(277),l=(0,s.__importStar)(t(18));class _ extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:i}=await Promise.resolve().then((()=>(0,s.__importStar)(t(427))));this.glglyph=new i(e.regl_wrapper,this)}}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]]}}i.QuadView=_,_.__name__=\"QuadView\";class p extends n.Box{constructor(t){super(t)}}i.Quad=p,a=p,p.__name__=\"Quad\",a.prototype.default_view=_,a.define((({})=>({right:[l.XCoordinateSpec,{field:\"right\"}],bottom:[l.YCoordinateSpec,{field:\"bottom\"}],left:[l.XCoordinateSpec,{field:\"left\"}],top:[l.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(429))));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,r,a,s){a();const i=e(1);var n;const l=e(292),_=e(293),c=(0,i.__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&&t.regl_wrapper.has_webgl){const{MultiMarkerGL:r}=await Promise.resolve().then((()=>(0,i.__importStar)(e(428))));this.glglyph=new r(t.regl_wrapper,this)}}_render(e,t,r){const{sx:a,sy:s,size:i,angle:n,marker:l}=null!=r?r:this;for(const r of t){const t=a[r],c=s[r],o=i.get(r),g=n.get(r),w=l.get(r);if(!isFinite(t+c+o+g)||null==w)continue;const p=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[w](e,r,p,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},i){const n=i+1,l=this.marker.get(i),_=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:r,y0:a,y1:s},i)),{marker:new c.UniformScalar(l,n)});this._render(e,[i],_)}}r.ScatterView=o,o.__name__=\"ScatterView\";class g extends l.Marker{constructor(e){super(e)}}r.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,e,s,i,r){i();const h=t(1);var o;const a=t(277),n=t(24),_=(0,h.__importStar)(t(18));class l extends a.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const e=this.width.get(t)/2,s=this._x[t],i=this._top[t],r=this._bottom[t];return[s-e,s+e,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 e=0;e({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),d=e(184),l=e(48),h=e(24),o=e(20),_=(0,r.__importStar)(e(18)),u=e(10),g=e(72),x=e(12);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,h.to_screen)(this.radius),this.max_sradius=(0,x.max)(this.sradius)}_render(e,s,t){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=t?t:this,d=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],l=n[t],h=r[t],o=a.get(t),_=c.get(t);isFinite(s+l+h+o+_)&&(e.beginPath(),e.arc(s,l,h,o,_,d),e.lineTo(s,l),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;const{sx:a,sy:c}=e,d=this.renderer.xscale.invert(a),l=this.renderer.yscale.invert(c);t=a-this.max_sradius,i=a+this.max_sradius;const[h,o]=this.renderer.xscale.r_invert(t,i);n=c-this.max_sradius,r=c+this.max_sradius;const[_,x]=this.renderer.yscale.r_invert(n,r),p=[];for(const e of this.index.indices({x0:h,x1:o,y0:_,y1:x})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(d,this._x[e]),[n,r]=this.renderer.yscale.r_compute(l,this._y[e]),s=(t-i)**2+(n-r)**2,s<=a&&p.push(e)}const y=\"anticlock\"==this.model.direction,m=[];for(const e of p){const s=Math.atan2(c-this.sy[e],a-this.sx[e]);(0,u.angle_between)(-s,-this.start_angle.get(e),-this.end_angle.get(e),y)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,d.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 y extends c.XYGlyph{constructor(e){super(e)}}t.Wedge=y,a=y,y.__name__=\"Wedge\",a.prototype.default_view=p,a.mixins([l.LineVector,l.FillVector,l.HatchVector]),a.define((({})=>({direction:[o.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,\"weekly\"]}))),_.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)}null!=this.compute_initial()&&(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&&ro.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r0&&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 o;n();const s=e(176),d=e(175),a=e(303),p=e(302),l=e(113),_=e(178),h=e(283),y=e(286);class c extends s.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,l.build_view)(r,{parent:e}),this.node_view=await(0,l.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}}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 d.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 s.DataRenderer{constructor(e){super(e)}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}i.GraphRenderer=g,o=g,g.__name__=\"GraphRenderer\",o.prototype.default_view=c,o.define((({Ref:e})=>({layout_provider:[e(a.LayoutProvider)],node_renderer:[e(d.GlyphRenderer)],edge_renderer:[e(d.GlyphRenderer)],selection_policy:[e(p.GraphHitTestPolicy),()=>new p.NodesOnly],inspection_policy:[e(p.GraphHitTestPolicy),()=>new p.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 a;n();const o=e(223),l=e(20),_=e(228),r=e(384);class h extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){var t;const{frame:s}=this.plot_view,n=s.bbox.h_range,i=s.bbox.v_range,[a,o]=[n.start,n.end],[l,_]=[i.start,i.end];let h,d,p,c;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-l);h=a,d=o,p=l-t*e,c=_-t*e;break}case\"width\":{const t=Math.abs(o-a);h=a-t*e,d=o-t*e,p=l,c=_;break}}const{x_scales:g,y_scales:u}=s,w={xrs:(0,r.update_ranges)(g,h,d),yrs:(0,r.update_ranges)(u,p,c),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,(()=>this.plot_view.trigger_ranges_update_event()))}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class d extends o.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,a=d,d.__name__=\"WheelPanTool\",a.prototype.default_view=h,a.define((()=>({dimension:[l.Dimension,\"width\"]}))),a.internal((({Number:e})=>({speed:[e,.001]}))),a.register_alias(\"xwheel_pan\",(()=>new d({dimension:\"width\"}))),a.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,i){s();const o=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=e(186),y=e(187),f=e(189),x=(0,o.__importStar)(e(185)),v=e(152),w=e(43),g=e(22),b=e(13),k=e(234),C=e(8),S=e(113),T=e(20),$=e(228),R=e(15),A=e(66),M=(0,o.__importStar)(e(242)),V=e(392);function G(e,t,n,s,i,o){const r={x:i[e],y:o[e]},l={x:i[e+1],y:o[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=x.dist_2_pts(r,e),c=x.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,C.isString)(n)||(0,C.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,S.build_views)(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const i=[...function*(){for(const e of t)e instanceof _.GlyphRenderer?yield e:e instanceof d.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],o=this._slots.get(this._update);if(null!=o){const e=new Set(i.map((e=>e.data_source)));R.Signal.disconnect_receiver(this,o,e)}for(const e of i)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,A.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 i=this.ttmodels.get(e);if(null==i)return;const o=e.get_selection_manager(),r=o.inspectors.get(e),l=e.view.convert_selection_to_subset(r);if(r.is_empty()&&null==r.view)return void i.clear();const a=o.source,c=this.plot_view.renderer_view(e);if(null==c)return;const{sx:d,sy:p}=t,x=c.coordinates.x_scale,v=c.coordinates.y_scale,g=x.invert(d),k=v.invert(p),{glyph:C}=c,S=[];if(C instanceof m.PatchView){const[t,n]=[d,p],s={x:g,y:k,sx:d,sy:p,rx:t,ry:n,name:e.name};S.push([t,n,this._render_tooltips(a,-1,s)])}if(C instanceof y.HAreaView)for(const t of l.line_indices){const n=C._x1,s=C._x2,i=C._y,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x1:n,data_x2:s,data_y:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof f.VAreaView)for(const t of l.line_indices){const n=C._x,s=C._y1,i=C._y2,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x:n,data_y1:s,data_y2:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof h.LineView)for(const n of l.line_indices){let s,i,o=C._x[n+1],r=C._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[o,r]=C.get_interpolation_hit(n,t),s=x.compute(o),i=v.compute(r);break;case\"prev\":[[s,i],c]=H(C.sx,C.sy,n);break;case\"next\":[[s,i],c]=H(C.sx,C.sy,n+1);break;case\"nearest\":[[s,i],c]=G(n,t,d,p,C.sx,C.sy),o=C._x[c],r=C._y[c];break;default:[s,i]=[d,p]}const _={index:c,x:g,y:k,sx:d,sy:p,data_x:o,data_y:r,rx:s,ry:i,indices:l.line_indices,name:e.name};S.push([s,i,this._render_tooltips(a,c,_)])}for(const t of r.image_indices){const n={index:t.index,x:g,y:k,sx:d,sy:p,name:e.name},s=this._render_tooltips(a,t,n);S.push([d,p,s])}for(const i of l.indices)if(C instanceof u.MultiLineView&&!(0,b.isEmpty)(l.multiline_indices))for(const n of l.multiline_indices[i.toString()]){let s,o,r,c=C._xs.get(i)[n],h=C._ys.get(i)[n],u=n;switch(this.model.line_policy){case\"interp\":[c,h]=C.get_interpolation_hit(i,n,t),s=x.compute(c),o=v.compute(h);break;case\"prev\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n);break;case\"next\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n+1);break;case\"nearest\":[[s,o],u]=G(n,t,d,p,C.sxs.get(i),C.sys.get(i)),c=C._xs.get(i)[u],h=C._ys.get(i)[u];break;default:throw new Error(\"shouldn't have happened\")}r=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([i])[0]:i;const m={index:r,x:g,y:k,sx:d,sy:p,data_x:c,data_y:h,segment_index:u,indices:l.multiline_indices,name:e.name};S.push([s,o,this._render_tooltips(a,r,m)])}else{const t=null===(n=C._x)||void 0===n?void 0:n[i],o=null===(s=C._y)||void 0===s?void 0:s[i];let r,c,h;if(\"snap_to_data\"==this.model.point_policy){let e=C.get_anchor_point(this.model.anchor,i,[d,p]);if(null==e&&(e=C.get_anchor_point(\"center\",i,[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([i])[0]:i;const u={index:h,x:g,y:k,sx:d,sy:p,data_x:t,data_y:o,indices:l.indices,name:e.name};S.push([r,c,this._render_tooltips(a,h,u)])}if(0==S.length)i.clear();else{const{content:e}=i;(0,w.empty)(i.content);for(const[,,t]of S)null!=t&&e.appendChild(t);const[t,n]=S[S.length-1];i.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:i,y_scale:o}=s.coordinates,r=i.invert(e.sx),l=o.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,w.div)({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=(0,w.div)({style:{display:\"table-row\"}});t.appendChild(e);const s=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const i=(0,w.span)();i.dataset.value=\"\";const o=(0,w.span)({class:M.tooltip_color_block},\" \");o.dataset.swatch=\"\",(0,w.undisplay)(o);const r=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_value},i,o);e.appendChild(r)}return t}_render_template(e,t,n,s,i){const o=e.cloneNode(!0),r=o.querySelectorAll(\"[data-value]\"),l=o.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],o]of(0,k.enumerate)(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,i=n.get_column(e);if(null==i)r[o].textContent=`${e} unknown`;else{const e=(0,C.isNumber)(s)?i[s]:null;null!=e&&(l[o].style.backgroundColor=(0,g.color2css)(e),(0,w.display)(l[o]))}}if(null!=_){const[,e=\"\",t]=_,i=n.get_column(t);if(null==i){r[o].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=(0,C.isNumber)(s)?i[s]:null;if(null==d){r[o].textContent=\"(null)\";continue}r[o].textContent=a?(0,g.color2hex)(d):(0,g.color2css)(d),c&&(l[o].style.backgroundColor=(0,g.color2css)(d),(0,w.display)(l[o]))}}else{const t=(0,v.replace_placeholders)(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,i);if((0,C.isString)(t))r[o].textContent=t;else for(const e of t)r[o].appendChild(e)}}return o}_render_tooltips(e,t,n){var s;const{tooltips:i}=this.model;if((0,C.isString)(i)){const s=(0,v.replace_placeholders)({html:i},e,t,this.model.formatters,n);return(0,w.div)(s)}if((0,C.isFunction)(i))return i(e,n);if(i instanceof V.Template)return this._template_view.update(e,t,n),this._template_view.el;if(null!=i){const o=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(i);return this._render_template(o,i,e,t,n)}return null}}n.HoverToolView=z,z.__name__=\"HoverToolView\";class P extends l.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=$.tool_icon_hover}}n.HoverTool=P,r=P,P.__name__=\"HoverTool\",r.prototype.default_view=z,r.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:i,Dict:o,Or:r,Ref:l,Function:c,Auto:_,Nullable:d})=>({tooltips:[d(r(l(V.Template),n,s(i(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[o(r(l(a.CustomJSHover),v.FormatterType)),{}],renderers:[r(s(l(p.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[T.HoverMode,\"mouse\"],muted_policy:[T.MutedPolicy,\"show\"],point_policy:[T.PointPolicy,\"snap_to_data\"],line_policy:[T.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[T.Anchor,\"center\"],attachment:[T.TooltipAttachment,\"horizontal\"],callback:[d(e)]}))),r.register_alias(\"hover\",(()=>new P))},\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_position:[n(l),null],list_style_type:[n(l),null],margin:[n(l),null],margin_block_end:[n(l),null],margin_block_start:[n(l),null],margin_bottom:[n(l),null],margin_inline_end:[n(l),null],margin_inline_start:[n(l),null],margin_left:[n(l),null],margin_right:[n(l),null],margin_top:[n(l),null],marker:[n(l),null],marker_end:[n(l),null],marker_mid:[n(l),null],marker_start:[n(l),null],mask:[n(l),null],mask_composite:[n(l),null],mask_image:[n(l),null],mask_position:[n(l),null],mask_repeat:[n(l),null],mask_size:[n(l),null],mask_type:[n(l),null],max_block_size:[n(l),null],max_height:[n(l),null],max_inline_size:[n(l),null],max_width:[n(l),null],min_block_size:[n(l),null],min_height:[n(l),null],min_inline_size:[n(l),null],min_width:[n(l),null],object_fit:[n(l),null],object_position:[n(l),null],opacity:[n(l),null],order:[n(l),null],orphans:[n(l),null],outline:[n(l),null],outline_color:[n(l),null],outline_offset:[n(l),null],outline_style:[n(l),null],outline_width:[n(l),null],overflow:[n(l),null],overflow_anchor:[n(l),null],overflow_wrap:[n(l),null],overflow_x:[n(l),null],overflow_y:[n(l),null],overscroll_behavior:[n(l),null],overscroll_behavior_block:[n(l),null],overscroll_behavior_inline:[n(l),null],overscroll_behavior_x:[n(l),null],overscroll_behavior_y:[n(l),null],padding:[n(l),null],padding_block_end:[n(l),null],padding_block_start:[n(l),null],padding_bottom:[n(l),null],padding_inline_end:[n(l),null],padding_inline_start:[n(l),null],padding_left:[n(l),null],padding_right:[n(l),null],padding_top:[n(l),null],page_break_after:[n(l),null],page_break_before:[n(l),null],page_break_inside:[n(l),null],paint_order:[n(l),null],perspective:[n(l),null],perspective_origin:[n(l),null],place_content:[n(l),null],place_items:[n(l),null],place_self:[n(l),null],pointer_events:[n(l),null],position:[n(l),null],quotes:[n(l),null],resize:[n(l),null],right:[n(l),null],rotate:[n(l),null],row_gap:[n(l),null],ruby_align:[n(l),null],ruby_position:[n(l),null],scale:[n(l),null],scroll_behavior:[n(l),null],shape_rendering:[n(l),null],stop_color:[n(l),null],stop_opacity:[n(l),null],stroke:[n(l),null],stroke_dasharray:[n(l),null],stroke_dashoffset:[n(l),null],stroke_linecap:[n(l),null],stroke_linejoin:[n(l),null],stroke_miterlimit:[n(l),null],stroke_opacity:[n(l),null],stroke_width:[n(l),null],tab_size:[n(l),null],table_layout:[n(l),null],text_align:[n(l),null],text_align_last:[n(l),null],text_anchor:[n(l),null],text_combine_upright:[n(l),null],text_decoration:[n(l),null],text_decoration_color:[n(l),null],text_decoration_line:[n(l),null],text_decoration_style:[n(l),null],text_emphasis:[n(l),null],text_emphasis_color:[n(l),null],text_emphasis_position:[n(l),null],text_emphasis_style:[n(l),null],text_indent:[n(l),null],text_justify:[n(l),null],text_orientation:[n(l),null],text_overflow:[n(l),null],text_rendering:[n(l),null],text_shadow:[n(l),null],text_transform:[n(l),null],text_underline_position:[n(l),null],top:[n(l),null],touch_action:[n(l),null],transform:[n(l),null],transform_box:[n(l),null],transform_origin:[n(l),null],transform_style:[n(l),null],transition:[n(l),null],transition_delay:[n(l),null],transition_duration:[n(l),null],transition_property:[n(l),null],transition_timing_function:[n(l),null],translate:[n(l),null],unicode_bidi:[n(l),null],user_select:[n(l),null],vertical_align:[n(l),null],visibility:[n(l),null],white_space:[n(l),null],widows:[n(l),null],width:[n(l),null],will_change:[n(l),null],word_break:[n(l),null],word_spacing:[n(l),null],word_wrap:[n(l),null],writing_mode:[n(l),null],z_index:[n(l),null]})))},\n 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 open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&r.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(`${e}`)}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){r.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach((e=>e.reject(\"Disconnected\"))),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){r.logger.debug(`Websocket error on socket ${this._number}`);const s=\"Could not open websocket\";r.logger.error(`Failed to connect to Bokeh server: ${s}`),e(new Error(s))}_close_bad_protocol(e){r.logger.error(`Closing connection: ${e}`),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=d,d.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new d(e,s,n).connect()}},\n function _(e,s,t,r,n){r();const i=e(34);class a{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),n=JSON.parse(s),i=JSON.parse(t);return new a(r,n,i)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(`too many buffers received, expecting ${t}`);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=a.create_header(e);return new a(r,s,t)}static create_header(e){return{msgid:(0,i.uniqueId)(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=a,a.__name__=\"Message\"},\n function _(e,t,s,_,r){_();const i=e(401),h=e(8);class a{constructor(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}consume(e){this._current_consumer(e)}_HEADER(e){this._assume_text(e),this.message=null,this._partial=null,this._fragments=[e],this._buf_header=null,this._current_consumer=this._METADATA}_METADATA(e){this._assume_text(e),this._fragments.push(e),this._current_consumer=this._CONTENT}_CONTENT(e){this._assume_text(e),this._fragments.push(e);const[t,s,_]=this._fragments.slice(0,3);this._partial=i.Message.assemble(t,s,_),this._check_complete()}_BUFFER_HEADER(e){this._assume_text(e),this._buf_header=e,this._current_consumer=this._BUFFER_PAYLOAD}_BUFFER_PAYLOAD(e){this._assume_binary(e),this._partial.assemble_buffer(this._buf_header,e),this._check_complete()}_assume_text(e){if(!(0,h.isString)(e))throw new Error(\"Expected text fragment but received binary fragment\")}_assume_binary(e){if(!(e instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")}_check_complete(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER}}s.Receiver=a,a.__name__=\"Receiver\"},\n function _(e,t,n,s,o){s();const c=e(5),i=e(401),_=e(19);class r{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>{this._document_changed(e)},this.document.on_change(this._document_listener,!0)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):_.logger.debug(`Doing nothing with message ${e.msgtype()}`)}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=i.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof c.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),s=i.Message.create(\"PATCH-DOC\",{},n);this._connection.send(s)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){_.logger.trace(`Unhandled OK reply to ${e.reqid()}`)}_handle_error(e){_.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=r,r.__name__=\"ClientSession\"},\n function _(e,o,t,n,r){n();const s=e(1),l=e(5),i=e(402),a=e(19),c=e(43),g=e(13),f=e(397),u=e(398),m=(0,s.__importDefault)(e(44)),p=(0,s.__importDefault)(e(240)),d=(0,s.__importDefault)(e(405));function _(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function b(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){a.logger.info(`Registering Jupyter comms for target ${e}`);const t=Jupyter.notebook.kernel.comm_manager;try{t.register_target(e,(t=>{a.logger.info(`Registering Jupyter comms for target ${e}`);const n=new i.Receiver;t.on_msg(_.bind(o,n))}))}catch(e){a.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else if(o.roots()[0].id in t.kernels){a.logger.info(`Registering JupyterLab comms for target ${e}`);const n=t.kernels[o.roots()[0].id];try{n.registerCommTarget(e,(t=>{a.logger.info(`Registering JupyterLab comms for target ${e}`);const n=new i.Receiver;t.onMsg=_.bind(o,n)}))}catch(e){a.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else if(\"undefined\"!=typeof google&&null!=google.colab.kernel){a.logger.info(`Registering Google Colab comms for target ${e}`);const t=google.colab.kernel.comms;try{t.registerTarget(e,(async t=>{var n,r,l;a.logger.info(`Registering Google Colab comms for target ${e}`);const c=new i.Receiver;try{for(var g,f=(0,s.__asyncValues)(t.messages);!(g=await f.next()).done;){const e=g.value,t={data:e.data},n=[];for(const o of null!==(l=e.buffers)&&void 0!==l?l:[])n.push(new DataView(o));const r={content:t,buffers:n};_.bind(o)(c,r)}}catch(e){n={error:e}}finally{try{g&&!g.done&&(r=f.return)&&await r.call(f)}finally{if(n)throw n.error}}}))}catch(e){a.logger.warn(`Google Colab comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else console.warn(\"Jupyter notebooks comms not available. push_notebook() will not function. If running JupyterLab ensure the latest @bokeh/jupyter_bokeh extension is installed. In an exported notebook this warning is expected.\")}c.stylesheet.append(m.default),c.stylesheet.append(p.default),c.stylesheet.append(d.default),t.kernels={},t.embed_items_notebook=function(e,o){if(1!=(0,g.size)(e))throw new Error(\"embed_items_notebook expects exactly one document in docs_json\");const t=l.Document.from_json((0,g.values)(e)[0]);for(const e of o){null!=e.notebook_comms_target&&b(e.notebook_comms_target,t);const o=(0,u._resolve_element)(e),n=(0,u._resolve_root_elements)(e);(0,f.add_document_standalone)(t,o,n)}}},\n function _(t,o,r,e,d){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.default=\".rendered_html .bk-root .bk-tooltip table,.rendered_html .bk-root .bk-tooltip tr,.rendered_html .bk-root .bk-tooltip th,.rendered_html .bk-root .bk-tooltip td{border:none;padding:1px;}\"},\n function _(t,_,o,r,n){r();const a=t(1);(0,a.__exportStar)(t(401),o),(0,a.__exportStar)(t(402),o)},\n function _(e,t,n,s,o){function l(){const e=document.getElementsByTagName(\"body\")[0],t=document.getElementsByClassName(\"bokeh-test-div\");1==t.length&&(e.removeChild(t[0]),delete t[0]);const n=document.createElement(\"div\");n.classList.add(\"bokeh-test-div\"),n.style.display=\"none\",e.insertBefore(n,e.firstChild)}s(),n.results={},n.init=function(){l()},n.record0=function(e,t){n.results[e]=t},n.record=function(e,t){n.results[e]=t,l()},n.count=function(e){null==n.results[e]&&(n.results[e]=0),n.results[e]+=1,l()}},\n function _(e,t,o,n,l){n(),o.safely=function(e,t=!1){try{return e()}catch(e){if(function(e){const t=document.createElement(\"div\");t.style.backgroundColor=\"#f2dede\",t.style.border=\"1px solid #a94442\",t.style.borderRadius=\"4px\",t.style.display=\"inline-block\",t.style.fontFamily=\"sans-serif\",t.style.marginTop=\"5px\",t.style.minWidth=\"200px\",t.style.padding=\"5px 5px 5px 10px\",t.classList.add(\"bokeh-error-box-into-flames\");const o=document.createElement(\"span\");o.style.backgroundColor=\"#a94442\",o.style.borderRadius=\"0px 4px 0px 0px\",o.style.color=\"white\",o.style.cursor=\"pointer\",o.style.cssFloat=\"right\",o.style.fontSize=\"0.8em\",o.style.margin=\"-6px -6px 0px 0px\",o.style.padding=\"2px 5px 4px 5px\",o.title=\"close\",o.setAttribute(\"aria-label\",\"close\"),o.appendChild(document.createTextNode(\"x\")),o.addEventListener(\"click\",(()=>s.removeChild(t)));const n=document.createElement(\"h3\");n.style.color=\"#a94442\",n.style.margin=\"8px 0px 0px 0px\",n.style.padding=\"0px\",n.appendChild(document.createTextNode(\"Bokeh Error\"));const l=document.createElement(\"pre\");l.style.whiteSpace=\"unset\",l.style.overflowX=\"auto\",l.appendChild(document.createTextNode(e)),t.appendChild(o),t.appendChild(n),t.appendChild(l);const s=document.getElementsByTagName(\"body\")[0];s.insertBefore(t,s.firstChild)}(e instanceof Error&&e.stack?e.stack:`${e}`),t)return;throw e}}},\n ], 0, {\"main\":0,\"tslib\":1,\"index\":2,\"version\":3,\"embed/index\":4,\"document/index\":5,\"document/document\":6,\"base\":7,\"core/util/types\":8,\"core/util/array\":9,\"core/util/math\":10,\"core/util/assert\":11,\"core/util/arrayable\":12,\"core/util/object\":13,\"core/has_props\":14,\"core/signaling\":15,\"core/util/defer\":16,\"core/util/refs\":17,\"core/properties\":18,\"core/logging\":19,\"core/enums\":20,\"core/kinds\":21,\"core/util/color\":22,\"core/util/svg_colors\":23,\"core/types\":24,\"core/util/bitset\":25,\"core/util/eq\":26,\"core/util/platform\":27,\"core/settings\":28,\"core/util/ndarray\":29,\"core/serializer\":30,\"core/util/serialization\":31,\"core/util/buffer\":32,\"core/uniforms\":33,\"core/util/string\":34,\"document/events\":35,\"core/util/pretty\":36,\"core/util/cloneable\":37,\"models/index\":38,\"models/annotations/index\":39,\"models/annotations/annotation\":40,\"models/renderers/renderer\":41,\"core/view\":42,\"core/dom\":43,\"styles/root.css\":44,\"core/visuals/index\":45,\"core/visuals/line\":46,\"core/visuals/visual\":47,\"core/property_mixins\":48,\"core/visuals/fill\":49,\"core/visuals/text\":50,\"core/visuals/hatch\":51,\"core/visuals/patterns\":52,\"model\":53,\"models/canvas/coordinates\":54,\"models/scales/scale\":55,\"models/transforms/transform\":56,\"models/ranges/range\":57,\"models/ranges/range1d\":58,\"models/scales/linear_scale\":59,\"models/scales/continuous_scale\":60,\"models/scales/log_scale\":61,\"models/scales/categorical_scale\":62,\"models/ranges/data_range1d\":63,\"models/ranges/data_range\":64,\"core/util/bbox\":65,\"models/util\":66,\"models/ranges/factor_range\":67,\"models/annotations/arrow\":68,\"models/annotations/data_annotation\":69,\"models/sources/columnar_data_source\":70,\"models/sources/data_source\":71,\"models/selections/selection\":72,\"core/selection_manager\":73,\"models/selections/interaction_policy\":74,\"models/sources/column_data_source\":75,\"core/util/typed_array\":76,\"core/util/set\":77,\"core/util/projections\":78,\"models/annotations/arrow_head\":112,\"core/build_views\":113,\"models/annotations/band\":114,\"models/annotations/upper_lower\":115,\"models/annotations/box_annotation\":116,\"models/annotations/color_bar\":117,\"models/annotations/title\":118,\"models/annotations/text_annotation\":119,\"core/graphics\":120,\"core/util/text\":121,\"core/util/affine\":122,\"core/layout/side_panel\":123,\"core/layout/types\":124,\"core/layout/layoutable\":125,\"models/canvas/cartesian_frame\":126,\"models/axes/index\":127,\"models/axes/axis\":128,\"models/renderers/guide_renderer\":129,\"models/tickers/ticker\":130,\"models/formatters/tick_formatter\":131,\"models/policies/labeling\":132,\"models/text/base_text\":133,\"models/text/utils\":134,\"models/text/math_text\":135,\"core/util/image\":136,\"models/text/providers\":137,\"core/util/modules\":138,\"models/text/plain_text\":139,\"models/axes/categorical_axis\":140,\"models/tickers/categorical_ticker\":141,\"models/formatters/categorical_tick_formatter\":142,\"models/axes/continuous_axis\":143,\"models/axes/datetime_axis\":144,\"models/axes/linear_axis\":145,\"models/formatters/basic_tick_formatter\":146,\"models/tickers/basic_ticker\":147,\"models/tickers/adaptive_ticker\":148,\"models/tickers/continuous_ticker\":149,\"models/formatters/datetime_tick_formatter\":150,\"core/util/templating\":152,\"models/tickers/datetime_ticker\":155,\"models/tickers/composite_ticker\":156,\"models/tickers/days_ticker\":157,\"models/tickers/single_interval_ticker\":158,\"models/tickers/util\":159,\"models/tickers/months_ticker\":160,\"models/tickers/years_ticker\":161,\"models/axes/log_axis\":162,\"models/formatters/log_tick_formatter\":163,\"models/tickers/log_ticker\":164,\"models/axes/mercator_axis\":165,\"models/formatters/mercator_tick_formatter\":166,\"models/tickers/mercator_ticker\":167,\"models/tickers/index\":168,\"models/tickers/fixed_ticker\":169,\"models/tickers/binned_ticker\":170,\"models/mappers/scanning_color_mapper\":171,\"models/mappers/continuous_color_mapper\":172,\"models/mappers/color_mapper\":173,\"models/mappers/mapper\":174,\"models/renderers/glyph_renderer\":175,\"models/renderers/data_renderer\":176,\"models/glyphs/line\":177,\"models/glyphs/xy_glyph\":178,\"models/glyphs/glyph\":179,\"core/util/ragged_array\":180,\"core/util/spatial\":181,\"models/glyphs/utils\":184,\"core/hittest\":185,\"models/glyphs/patch\":186,\"models/glyphs/harea\":187,\"models/glyphs/area\":188,\"models/glyphs/varea\":189,\"models/sources/cds_view\":190,\"models/filters/filter\":191,\"models/formatters/index\":192,\"models/formatters/func_tick_formatter\":193,\"models/formatters/numeral_tick_formatter\":194,\"models/formatters/printf_tick_formatter\":195,\"models/mappers/index\":196,\"models/mappers/categorical_color_mapper\":197,\"models/mappers/categorical_mapper\":198,\"models/mappers/categorical_marker_mapper\":199,\"models/mappers/categorical_pattern_mapper\":200,\"models/mappers/linear_color_mapper\":201,\"models/mappers/log_color_mapper\":202,\"models/mappers/eqhist_color_mapper\":203,\"models/scales/index\":204,\"models/scales/linear_interpolation_scale\":205,\"models/ranges/index\":206,\"core/layout/index\":207,\"core/layout/alignments\":208,\"core/layout/grid\":209,\"core/layout/html\":210,\"core/layout/border\":211,\"models/annotations/label\":212,\"models/annotations/label_set\":213,\"models/annotations/legend\":214,\"models/annotations/legend_item\":215,\"core/vectorization\":216,\"models/annotations/poly_annotation\":217,\"models/annotations/slope\":218,\"models/annotations/span\":219,\"models/annotations/toolbar_panel\":220,\"models/tools/toolbar\":221,\"models/tools/tool\":222,\"models/tools/gestures/gesture_tool\":223,\"models/tools/button_tool\":224,\"core/dom_view\":226,\"styles/toolbar.css\":227,\"styles/icons.css\":228,\"styles/menus.css\":229,\"core/util/menus\":230,\"models/tools/on_off_button\":231,\"models/tools/inspectors/inspect_tool\":232,\"models/tools/toolbar_base\":233,\"core/util/iterator\":234,\"core/util/canvas\":235,\"core/util/svg\":236,\"core/util/random\":237,\"models/tools/actions/action_tool\":238,\"models/tools/actions/help_tool\":239,\"styles/logo.css\":240,\"models/annotations/tooltip\":241,\"styles/tooltips.css\":242,\"models/annotations/whisker\":243,\"models/callbacks/index\":244,\"models/callbacks/customjs\":245,\"models/callbacks/callback\":246,\"models/callbacks/open_url\":247,\"models/canvas/index\":248,\"models/canvas/canvas\":249,\"core/ui_events\":250,\"core/bokeh_events\":251,\"core/util/wheel\":252,\"models/expressions/index\":253,\"models/expressions/expression\":254,\"models/expressions/customjs_expr\":255,\"models/expressions/stack\":256,\"models/expressions/cumsum\":257,\"models/expressions/minimum\":258,\"models/expressions/maximum\":259,\"models/expressions/coordinate_transform\":260,\"models/expressions/polar\":261,\"models/filters/index\":262,\"models/filters/boolean_filter\":263,\"models/filters/customjs_filter\":264,\"models/filters/group_filter\":265,\"models/filters/index_filter\":266,\"models/glyphs/index\":267,\"models/glyphs/annular_wedge\":268,\"models/glyphs/annulus\":269,\"models/glyphs/arc\":270,\"models/glyphs/bezier\":271,\"models/glyphs/circle\":272,\"models/glyphs/ellipse\":273,\"models/glyphs/ellipse_oval\":274,\"models/glyphs/center_rotatable\":275,\"models/glyphs/hbar\":276,\"models/glyphs/box\":277,\"models/glyphs/hex_tile\":278,\"models/glyphs/image\":279,\"models/glyphs/image_base\":280,\"models/glyphs/image_rgba\":281,\"models/glyphs/image_url\":282,\"models/glyphs/multi_line\":283,\"models/glyphs/multi_polygons\":284,\"models/glyphs/oval\":285,\"models/glyphs/patches\":286,\"models/glyphs/quad\":287,\"models/glyphs/quadratic\":288,\"models/glyphs/ray\":289,\"models/glyphs/rect\":290,\"models/glyphs/scatter\":291,\"models/glyphs/marker\":292,\"models/glyphs/defs\":293,\"models/glyphs/segment\":294,\"models/glyphs/spline\":295,\"core/util/interpolation\":296,\"models/glyphs/step\":297,\"models/glyphs/text\":298,\"models/glyphs/vbar\":299,\"models/glyphs/wedge\":300,\"models/graphs/index\":301,\"models/graphs/graph_hit_test_policy\":302,\"models/graphs/layout_provider\":303,\"models/graphs/static_layout_provider\":304,\"models/grids/index\":305,\"models/grids/grid\":306,\"models/layouts/index\":307,\"models/layouts/box\":308,\"models/layouts/layout_dom\":309,\"models/layouts/column\":310,\"models/layouts/grid_box\":311,\"models/layouts/html_box\":312,\"models/layouts/panel\":313,\"models/layouts/row\":314,\"models/layouts/spacer\":315,\"models/layouts/tabs\":316,\"styles/tabs.css\":317,\"styles/buttons.css\":318,\"models/layouts/widget_box\":319,\"models/text/index\":320,\"models/transforms/index\":321,\"models/transforms/customjs_transform\":322,\"models/transforms/dodge\":323,\"models/transforms/range_transform\":324,\"models/transforms/interpolator\":325,\"models/transforms/jitter\":326,\"models/transforms/linear_interpolator\":327,\"models/transforms/step_interpolator\":328,\"models/plots/index\":329,\"models/plots/gmap_plot\":330,\"models/plots/plot\":331,\"models/plots/plot_canvas\":332,\"core/util/throttle\":333,\"models/plots/range_manager\":334,\"models/plots/state_manager\":335,\"models/plots/gmap_plot_canvas\":336,\"models/policies/index\":337,\"models/renderers/index\":338,\"models/renderers/graph_renderer\":339,\"models/selections/index\":340,\"models/sources/index\":341,\"models/sources/server_sent_data_source\":342,\"models/sources/web_data_source\":343,\"models/sources/ajax_data_source\":344,\"models/sources/geojson_data_source\":345,\"models/tiles/index\":346,\"models/tiles/bbox_tile_source\":347,\"models/tiles/mercator_tile_source\":348,\"models/tiles/tile_source\":349,\"models/tiles/tile_utils\":350,\"models/tiles/quadkey_tile_source\":351,\"models/tiles/tile_renderer\":352,\"models/tiles/wmts_tile_source\":353,\"styles/tiles.css\":354,\"models/tiles/tms_tile_source\":355,\"models/textures/index\":356,\"models/textures/canvas_texture\":357,\"models/textures/texture\":358,\"models/textures/image_url_texture\":359,\"models/tools/index\":360,\"models/tools/actions/custom_action\":361,\"models/tools/actions/redo_tool\":362,\"models/tools/actions/reset_tool\":363,\"models/tools/actions/save_tool\":364,\"models/tools/actions/undo_tool\":365,\"models/tools/actions/zoom_in_tool\":366,\"models/tools/actions/zoom_base_tool\":367,\"core/util/zoom\":368,\"models/tools/actions/zoom_out_tool\":369,\"models/tools/edit/edit_tool\":370,\"models/tools/edit/box_edit_tool\":371,\"models/tools/edit/freehand_draw_tool\":372,\"models/tools/edit/point_draw_tool\":373,\"models/tools/edit/poly_draw_tool\":374,\"models/tools/edit/poly_tool\":375,\"models/tools/edit/poly_edit_tool\":376,\"models/tools/gestures/box_select_tool\":377,\"models/tools/gestures/select_tool\":378,\"models/tools/gestures/box_zoom_tool\":379,\"models/tools/gestures/lasso_select_tool\":380,\"models/tools/gestures/poly_select_tool\":381,\"models/tools/edit/line_edit_tool\":382,\"models/tools/edit/line_tool\":383,\"models/tools/gestures/pan_tool\":384,\"models/tools/gestures/range_tool\":385,\"models/tools/gestures/tap_tool\":386,\"models/tools/gestures/wheel_pan_tool\":387,\"models/tools/gestures/wheel_zoom_tool\":388,\"models/tools/inspectors/crosshair_tool\":389,\"models/tools/inspectors/customjs_hover\":390,\"models/tools/inspectors/hover_tool\":391,\"models/dom/index\":392,\"models/dom/styles\":393,\"models/tools/tool_proxy\":394,\"models/tools/toolbar_box\":395,\"document/defs\":396,\"embed/standalone\":397,\"embed/dom\":398,\"embed/server\":399,\"client/connection\":400,\"protocol/message\":401,\"protocol/receiver\":402,\"client/session\":403,\"embed/notebook\":404,\"styles/notebook.css\":405,\"protocol/index\":406,\"testing\":407,\"safely\":408}, {});});\n\n /* END bokeh.min.js */\n },\n function(Bokeh) {\n /* BEGIN bokeh-gl.min.js */\n /*!\n * Copyright (c) 2012 - 2022, 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\"], \"2.4.3\");\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 409: function _(n,c,f,i,o){i(),n(410)},\n 410: function _(t,_,r,e,o){e();const a=t(1);o(\"get_regl\",t(411).get_regl),(0,a.__exportStar)(t(419),r),(0,a.__exportStar)(t(423),r),(0,a.__exportStar)(t(425),r),(0,a.__exportStar)(t(426),r),(0,a.__exportStar)(t(427),r),(0,a.__exportStar)(t(428),r),(0,a.__exportStar)(t(429),r),(0,a.__exportStar)(t(424),r)},\n 411: function _(t,i,e,_,a){_();const r=t(1),o=(0,r.__importDefault)(t(412)),n=t(413),s=(0,r.__importDefault)(t(415)),l=(0,r.__importDefault)(t(416)),p=(0,r.__importDefault)(t(417)),h=(0,r.__importDefault)(t(418));let c;e.get_regl=function(t){return null==c&&(c=new u(t)),c};class u{constructor(t){try{this._regl=(0,o.default)({gl:t,extensions:[\"ANGLE_instanced_arrays\",\"EXT_blend_minmax\"]}),this._regl_available=!0,this._line_geometry=this._regl.buffer({usage:\"static\",type:\"float\",data:[[-2,0],[-1,-1],[1,-1],[2,0],[1,1],[-1,1]]}),this._line_triangles=this._regl.elements({usage:\"static\",primitive:\"triangles\",data:[[0,1,5],[1,2,5],[5,2,4],[2,3,4]]})}catch(t){this._regl_available=!1}}buffer(t){return this._regl.buffer(t)}clear(t,i){this._viewport={x:0,y:0,width:t,height:i},this._regl.clear({color:[0,0,0,0]})}get has_webgl(){return this._regl_available}get scissor(){return this._scissor}set_scissor(t,i,e,_){this._scissor={x:t,y:i,width:e,height:_}}get viewport(){return this._viewport}dashed_line(){return null==this._dashed_line&&(this._dashed_line=function(t,i,e){const _={vert:`#define DASHED\\n\\n${s.default}`,frag:`#define DASHED\\n\\n${l.default}`,attributes:{a_position:{buffer:i,divisor:0},a_point_prev:(t,i)=>i.points.to_attribute_config(),a_point_start:(t,i)=>i.points.to_attribute_config(2*Float32Array.BYTES_PER_ELEMENT),a_point_end:(t,i)=>i.points.to_attribute_config(4*Float32Array.BYTES_PER_ELEMENT),a_point_next:(t,i)=>i.points.to_attribute_config(6*Float32Array.BYTES_PER_ELEMENT),a_show_prev:(t,i)=>i.show.to_attribute_config(),a_show_curr:(t,i)=>i.show.to_attribute_config(Uint8Array.BYTES_PER_ELEMENT),a_show_next:(t,i)=>i.show.to_attribute_config(2*Uint8Array.BYTES_PER_ELEMENT),a_length_so_far:(t,i)=>i.length_so_far.to_attribute_config()},uniforms:{u_canvas_size:t.prop(\"canvas_size\"),u_pixel_ratio:t.prop(\"pixel_ratio\"),u_antialias:t.prop(\"antialias\"),u_line_color:t.prop(\"line_color\"),u_linewidth:t.prop(\"linewidth\"),u_miter_limit:t.prop(\"miter_limit\"),u_line_join:t.prop(\"line_join\"),u_line_cap:t.prop(\"line_cap\"),u_dash_tex:t.prop(\"dash_tex\"),u_dash_tex_info:t.prop(\"dash_tex_info\"),u_dash_scale:t.prop(\"dash_scale\"),u_dash_offset:t.prop(\"dash_offset\")},elements:e,instances:t.prop(\"nsegments\"),blend:{enable:!0,equation:\"max\",func:{srcRGB:1,srcAlpha:1,dstRGB:1,dstAlpha:1}},depth:{enable:!1},scissor:{enable:!0,box:t.prop(\"scissor\")},viewport:t.prop(\"viewport\")};return t(_)}(this._regl,this._line_geometry,this._line_triangles)),this._dashed_line}get_dash(t){return null==this._dash_cache&&(this._dash_cache=new n.DashCache(this._regl)),this._dash_cache.get(t)}marker_no_hatch(t){null==this._marker_no_hatch_map&&(this._marker_no_hatch_map=new Map);let i=this._marker_no_hatch_map.get(t);return null==i&&(i=function(t,i){const e={vert:p.default,frag:`#define USE_${i.toUpperCase()}\\n${h.default}`,attributes:{a_position:{buffer:t.buffer([[-.5,-.5],[-.5,.5],[.5,.5],[.5,-.5]]),divisor:0},a_center:(t,i)=>i.center.to_attribute_config(),a_width:(t,i)=>i.width.to_attribute_config(),a_height:(t,i)=>i.height.to_attribute_config(),a_angle:(t,i)=>i.angle.to_attribute_config(),a_linewidth:(t,i)=>i.linewidth.to_attribute_config(),a_line_color:(t,i)=>i.line_color.to_attribute_config(),a_fill_color:(t,i)=>i.fill_color.to_attribute_config(),a_line_cap:(t,i)=>i.line_cap.to_attribute_config(),a_line_join:(t,i)=>i.line_join.to_attribute_config(),a_show:(t,i)=>i.show.to_attribute_config()},uniforms:{u_canvas_size:t.prop(\"canvas_size\"),u_pixel_ratio:t.prop(\"pixel_ratio\"),u_antialias:t.prop(\"antialias\"),u_size_hint:t.prop(\"size_hint\")},count:4,primitive:\"triangle fan\",instances:t.prop(\"nmarkers\"),blend:{enable:!0,func:{srcRGB:\"one\",srcAlpha:\"one\",dstRGB:\"one minus src alpha\",dstAlpha:\"one minus src alpha\"}},depth:{enable:!1},scissor:{enable:!0,box:t.prop(\"scissor\")},viewport:t.prop(\"viewport\")};return t(e)}(this._regl,t),this._marker_no_hatch_map.set(t,i)),i}marker_hatch(t){null==this._marker_hatch_map&&(this._marker_hatch_map=new Map);let i=this._marker_hatch_map.get(t);return null==i&&(i=function(t,i){const e={vert:`#define HATCH\\n${p.default}`,frag:`#define USE_${i.toUpperCase()}\\n#define HATCH\\n${h.default}`,attributes:{a_position:{buffer:t.buffer([[-.5,-.5],[-.5,.5],[.5,.5],[.5,-.5]]),divisor:0},a_center:(t,i)=>i.center.to_attribute_config(),a_width:(t,i)=>i.width.to_attribute_config(),a_height:(t,i)=>i.height.to_attribute_config(),a_angle:(t,i)=>i.angle.to_attribute_config(),a_linewidth:(t,i)=>i.linewidth.to_attribute_config(),a_line_color:(t,i)=>i.line_color.to_attribute_config(),a_fill_color:(t,i)=>i.fill_color.to_attribute_config(),a_line_cap:(t,i)=>i.line_cap.to_attribute_config(),a_line_join:(t,i)=>i.line_join.to_attribute_config(),a_show:(t,i)=>i.show.to_attribute_config(),a_hatch_pattern:(t,i)=>i.hatch_pattern.to_attribute_config(),a_hatch_scale:(t,i)=>i.hatch_scale.to_attribute_config(),a_hatch_weight:(t,i)=>i.hatch_weight.to_attribute_config(),a_hatch_color:(t,i)=>i.hatch_color.to_attribute_config()},uniforms:{u_canvas_size:t.prop(\"canvas_size\"),u_pixel_ratio:t.prop(\"pixel_ratio\"),u_antialias:t.prop(\"antialias\"),u_size_hint:t.prop(\"size_hint\")},count:4,primitive:\"triangle fan\",instances:t.prop(\"nmarkers\"),blend:{enable:!0,func:{srcRGB:\"one\",srcAlpha:\"one\",dstRGB:\"one minus src alpha\",dstAlpha:\"one minus src alpha\"}},depth:{enable:!1},scissor:{enable:!0,box:t.prop(\"scissor\")},viewport:t.prop(\"viewport\")};return t(e)}(this._regl,t),this._marker_hatch_map.set(t,i)),i}solid_line(){return null==this._solid_line&&(this._solid_line=function(t,i,e){const _={vert:s.default,frag:l.default,attributes:{a_position:{buffer:i,divisor:0},a_point_prev:(t,i)=>i.points.to_attribute_config(),a_point_start:(t,i)=>i.points.to_attribute_config(2*Float32Array.BYTES_PER_ELEMENT),a_point_end:(t,i)=>i.points.to_attribute_config(4*Float32Array.BYTES_PER_ELEMENT),a_point_next:(t,i)=>i.points.to_attribute_config(6*Float32Array.BYTES_PER_ELEMENT),a_show_prev:(t,i)=>i.show.to_attribute_config(),a_show_curr:(t,i)=>i.show.to_attribute_config(Uint8Array.BYTES_PER_ELEMENT),a_show_next:(t,i)=>i.show.to_attribute_config(2*Uint8Array.BYTES_PER_ELEMENT)},uniforms:{u_canvas_size:t.prop(\"canvas_size\"),u_pixel_ratio:t.prop(\"pixel_ratio\"),u_antialias:t.prop(\"antialias\"),u_line_color:t.prop(\"line_color\"),u_linewidth:t.prop(\"linewidth\"),u_miter_limit:t.prop(\"miter_limit\"),u_line_join:t.prop(\"line_join\"),u_line_cap:t.prop(\"line_cap\")},elements:e,instances:t.prop(\"nsegments\"),blend:{enable:!0,equation:\"max\",func:{srcRGB:1,srcAlpha:1,dstRGB:1,dstAlpha:1}},depth:{enable:!1},scissor:{enable:!0,box:t.prop(\"scissor\")},viewport:t.prop(\"viewport\")};return t(_)}(this._regl,this._line_geometry,this._line_triangles)),this._solid_line}}e.ReglWrapper=u,u.__name__=\"ReglWrapper\"},\n 412: function _(e,t,r,n,a){var i,o;i=this,o=function(){\"use strict\";var e=function(e){return e instanceof Uint8Array||e instanceof Uint16Array||e instanceof Uint32Array||e instanceof Int8Array||e instanceof Int16Array||e instanceof Int32Array||e instanceof Float32Array||e instanceof Float64Array||e instanceof Uint8ClampedArray},t=function(e,t){for(var r=Object.keys(t),n=0;n=0&&(0|e)===e||n(\"invalid parameter type, (\"+e+\")\"+i(t)+\". must be a nonnegative integer\")},oneOf:f,shaderError:function(e,t,n,i,o){if(!e.getShaderParameter(t,e.COMPILE_STATUS)){var f=e.getShaderInfoLog(t),u=i===e.FRAGMENT_SHADER?\"fragment\":\"vertex\";g(n,\"string\",u+\" shader source must be a string\",o);var c=h(n,o),l=function(e){var t=[];return e.split(\"\\n\").forEach((function(e){if(!(e.length<5)){var r=/^ERROR:\\s+(\\d+):(\\d+):\\s*(.*)$/.exec(e);r?t.push(new d(0|r[1],0|r[2],r[3].trim())):e.length>0&&t.push(new d(\"unknown\",0,e))}})),t}(f);!function(e,t){t.forEach((function(t){var r=e[t.file];if(r){var n=r.index[t.line];if(n)return n.errors.push(t),void(r.hasErrors=!0)}e.unknown.hasErrors=!0,e.unknown.lines[0].errors.push(t)}))}(c,l),Object.keys(c).forEach((function(e){var t=c[e];if(t.hasErrors){var n=[\"\"],a=[\"\"];i(\"file number \"+e+\": \"+t.name+\"\\n\",\"color:red;text-decoration:underline;font-weight:bold\"),t.lines.forEach((function(e){if(e.errors.length>0){i(s(e.number,4)+\"| \",\"background-color:yellow; font-weight:bold\"),i(e.line+r,\"color:red; background-color:yellow; font-weight:bold\");var t=0;e.errors.forEach((function(n){var a=n.message,o=/^\\s*'(.*)'\\s*:\\s*(.*)$/.exec(a);if(o){var f=o[1];a=o[2],\"assign\"===f&&(f=\"=\"),t=Math.max(e.line.indexOf(f,t),0)}else t=0;i(s(\"| \",6)),i(s(\"^^^\",t+3)+r,\"font-weight:bold\"),i(s(\"| \",6)),i(a+r,\"font-weight:bold\")})),i(s(\"| \",6)+r)}else i(s(e.number,4)+\"| \"),i(e.line+r,\"color:red\")})),\"undefined\"==typeof document||window.chrome?console.log(n.join(\"\")):(a[0]=n.join(\"%c\"),console.log.apply(console,a))}function i(e,t){n.push(e),a.push(t||\"\")}})),a.raise(\"Error compiling \"+u+\" shader, \"+c[0].name)}},linkError:function(e,t,n,i,o){if(!e.getProgramParameter(t,e.LINK_STATUS)){var f=e.getProgramInfoLog(t),u=h(n,o),s='Error linking program with vertex shader, \"'+h(i,o)[0].name+'\", and fragment shader \"'+u[0].name+'\"';\"undefined\"!=typeof document?console.log(\"%c\"+s+\"\\n%c\"+f,\"color:red;text-decoration:underline;font-weight:bold\",\"color:red\"):console.log(s+r+f),a.raise(s)}},callSite:p,saveCommandRef:b,saveDrawInfo:function(e,t,r,n){function a(e){return e?n.id(e):0}function i(e,t){Object.keys(t).forEach((function(t){e[n.id(t)]=!0}))}b(e),e._fragId=a(e.static.frag),e._vertId=a(e.static.vert);var o=e._uniformSet={};i(o,t.static),i(o,t.dynamic);var f=e._attributeSet={};i(f,r.static),i(f,r.dynamic),e._hasCount=\"count\"in e.static||\"count\"in e.dynamic||\"elements\"in e.static||\"elements\"in e.dynamic},framebufferFormat:function(e,t,r){e.texture?f(e.texture._texture.internalformat,t,\"unsupported texture format for attachment\"):f(e.renderbuffer._renderbuffer.format,r,\"unsupported renderbuffer format for attachment\")},guessCommand:m,texture2D:function(e,t,r){var n,i=t.width,o=t.height,f=t.channels;a(i>0&&i<=r.maxTextureSize&&o>0&&o<=r.maxTextureSize,\"invalid texture shape\"),e.wrapS===y&&e.wrapT===y||a(A(i)&&A(o),\"incompatible wrap mode for texture, both width and height must be power of 2\"),1===t.mipmask?1!==i&&1!==o&&a(9984!==e.minFilter&&9986!==e.minFilter&&9985!==e.minFilter&&9987!==e.minFilter,\"min filter requires mipmap\"):(a(A(i)&&A(o),\"texture must be a square power of 2 to support mipmapping\"),a(t.mipmask===(i<<1)-1,\"missing or incomplete mipmap data\")),5126===t.type&&(r.extensions.indexOf(\"oes_texture_float_linear\")<0&&a(9728===e.minFilter&&9728===e.magFilter,\"filter not supported, must enable oes_texture_float_linear\"),a(!e.genMipmaps,\"mipmap generation not supported with float textures\"));var u=t.images;for(n=0;n<16;++n)if(u[n]){var s=i>>n,c=o>>n;a(t.mipmask&1<0&&i<=n.maxTextureSize&&o>0&&o<=n.maxTextureSize,\"invalid texture shape\"),a(i===o,\"cube map must be square\"),a(t.wrapS===y&&t.wrapT===y,\"wrap mode not supported by cube map\");for(var u=0;u>l,p=o>>l;a(s.mipmask&1<1&&t===r&&('\"'===t||\"'\"===t))return['\"'+O(e.substr(1,e.length-2))+'\"'];var n=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(e);if(n)return E(e.substr(0,n.index)).concat(E(n[1])).concat(E(e.substr(n.index+n[0].length)));var a=e.split(\".\");if(1===a.length)return['\"'+O(e)+'\"'];for(var i=[],o=0;o0,\"invalid pixel ratio\"))):_.raise(\"invalid arguments to regl\"),r&&(\"canvas\"===r.nodeName.toLowerCase()?a=r:n=r),!i){if(!a){_(\"undefined\"!=typeof document,\"must manually specify webgl context outside of DOM environments\");var h=function(e,r,n){var a,i=document.createElement(\"canvas\");function o(){var t=window.innerWidth,r=window.innerHeight;if(e!==document.body){var a=i.getBoundingClientRect();t=a.right-a.left,r=a.bottom-a.top}i.width=n*t,i.height=n*r}return t(i.style,{border:0,margin:0,padding:0,top:0,left:0,width:\"100%\",height:\"100%\"}),e.appendChild(i),e===document.body&&(i.style.position=\"absolute\",t(e.style,{margin:0,padding:0})),e!==document.body&&\"function\"==typeof ResizeObserver?(a=new ResizeObserver((function(){setTimeout(o)}))).observe(e):window.addEventListener(\"resize\",o,!1),o(),{canvas:i,onDestroy:function(){a?a.disconnect():window.removeEventListener(\"resize\",o),e.removeChild(i)}}}(n||document.body,0,l);if(!h)return null;a=h.canvas,p=h.onDestroy}void 0===u.premultipliedAlpha&&(u.premultipliedAlpha=!0),i=function(e,t){function r(r){try{return e.getContext(r,t)}catch(e){return null}}return r(\"webgl\")||r(\"experimental-webgl\")||r(\"webgl-experimental\")}(a,u)}return i?{gl:i,canvas:a,container:n,extensions:s,optionalExtensions:c,pixelRatio:l,profile:d,onDone:m,onDestroy:p}:(p(),m(\"webgl not supported, try upgrading your browser or graphics drivers http://get.webgl.org\"),null)}function V(e,t){for(var r=Array(e),n=0;n65535)<<4,t|=r=((e>>>=t)>255)<<3,t|=r=((e>>>=r)>15)<<2,(t|=r=((e>>>=r)>3)<<1)|(e>>>=r)>>1}function P(){var e=V(8,(function(){return[]}));function t(t){var r=function(e){for(var t=16;t<=1<<28;t*=16)if(e<=t)return t;return 0}(t),n=e[I(r)>>2];return n.length>0?n.pop():new ArrayBuffer(r)}function r(t){e[I(t.byteLength)>>2].push(t)}return{alloc:t,free:r,allocType:function(e,r){var n=null;switch(e){case 5120:n=new Int8Array(t(r),0,r);break;case 5121:n=new Uint8Array(t(r),0,r);break;case 5122:n=new Int16Array(t(2*r),0,r);break;case 5123:n=new Uint16Array(t(2*r),0,r);break;case 5124:n=new Int32Array(t(4*r),0,r);break;case 5125:n=new Uint32Array(t(4*r),0,r);break;case 5126:n=new Float32Array(t(4*r),0,r);break;default:return null}return n.length!==r?n.subarray(0,r):n},freeType:function(e){r(e.buffer)}}}var L=P();L.zero=P();var R=3553,M=6408,W=5126,U=36160;function G(t){return!!t&&\"object\"==typeof t&&Array.isArray(t.shape)&&Array.isArray(t.stride)&&\"number\"==typeof t.offset&&t.shape.length===t.stride.length&&(Array.isArray(t.data)||e(t.data))}var H=function(e){return Object.keys(e).map((function(t){return e[t]}))},N={shape:function(e){for(var t=[],r=e;r.length;r=r[0])t.push(r.length);return t},flatten:function(e,t,r,n){var a=1;if(t.length)for(var i=0;i>>31<<15,i=(n<<1>>>24)-127,o=n>>13&1023;if(i<-24)t[r]=a;else if(i<-14){var f=-14-i;t[r]=a+(o+1024>>f)}else t[r]=i>15?a+31744:a+(i+15<<10)+o}return t}function me(t){return Array.isArray(t)||e(t)}var pe=function(e){return!(e&e-1||!e)},he=3553,be=34067,ve=34069,ge=6408,ye=6406,xe=6407,we=6409,Ae=6410,_e=32855,ke=6402,Se=34041,Oe=35904,Ee=35906,Te=36193,De=33776,je=33777,Ce=33778,ze=33779,Fe=5121,Be=5123,Ve=5125,Ie=5126,Pe=33071,Le=9728,Re=9984,Me=9987,We=4352,Ue=33984,Ge=[Re,9986,9985,Me],He=[0,we,Ae,xe,ge],Ne={};function qe(e){return\"[object \"+e+\"]\"}Ne[6409]=Ne[6406]=Ne[6402]=1,Ne[34041]=Ne[6410]=2,Ne[6407]=Ne[35904]=3,Ne[6408]=Ne[35906]=4;var Qe=qe(\"HTMLCanvasElement\"),Ye=qe(\"OffscreenCanvas\"),Xe=qe(\"CanvasRenderingContext2D\"),$e=qe(\"ImageBitmap\"),Ke=qe(\"HTMLImageElement\"),Je=qe(\"HTMLVideoElement\"),Ze=Object.keys(Y).concat([Qe,Ye,Xe,$e,Ke,Je]),et=[];et[5121]=1,et[5126]=4,et[36193]=2,et[5123]=2,et[5125]=4;var tt=[];function rt(e){return Array.isArray(e)&&(0===e.length||\"number\"==typeof e[0])}function nt(e){return!!Array.isArray(e)&&!(0===e.length||!me(e[0]))}function at(e){return Object.prototype.toString.call(e)}function it(e){return at(e)===Qe}function ot(e){return at(e)===Ye}function ft(e){if(!e)return!1;var t=at(e);return Ze.indexOf(t)>=0||rt(e)||nt(e)||G(e)}function ut(e){return 0|Y[Object.prototype.toString.call(e)]}function st(e,t){return L.allocType(e.type===Te?Ie:e.type,t)}function ct(e,t){e.type===Te?(e.data=de(t),L.freeType(t)):e.data=t}function lt(e,t,r,n,a,i){var o;if(o=void 0!==tt[e]?tt[e]:Ne[e]*et[t],i&&(o*=6),a){for(var f=0,u=r;u>=1;)f+=o*u*u,u/=2;return f}return o*r*n}function dt(r,n,a,i,o,f,u){var s={\"don't care\":We,\"dont care\":We,nice:4354,fast:4353},c={repeat:10497,clamp:Pe,mirror:33648},l={nearest:Le,linear:9729},d=t({mipmap:Me,\"nearest mipmap nearest\":Re,\"linear mipmap nearest\":9985,\"nearest mipmap linear\":9986,\"linear mipmap linear\":Me},l),m={none:0,browser:37444},p={uint8:Fe,rgba4:32819,rgb565:33635,\"rgb5 a1\":32820},h={alpha:ye,luminance:we,\"luminance alpha\":Ae,rgb:xe,rgba:ge,rgba4:32854,\"rgb5 a1\":_e,rgb565:36194},b={};n.ext_srgb&&(h.srgb=Oe,h.srgba=Ee),n.oes_texture_float&&(p.float32=p.float=Ie),n.oes_texture_half_float&&(p.float16=p[\"half float\"]=Te),n.webgl_depth_texture&&(t(h,{depth:ke,\"depth stencil\":Se}),t(p,{uint16:Be,uint32:Ve,\"depth stencil\":34042})),n.webgl_compressed_texture_s3tc&&t(b,{\"rgb s3tc dxt1\":De,\"rgba s3tc dxt1\":je,\"rgba s3tc dxt3\":Ce,\"rgba s3tc dxt5\":ze}),n.webgl_compressed_texture_atc&&t(b,{\"rgb atc\":35986,\"rgba atc explicit alpha\":35987,\"rgba atc interpolated alpha\":34798}),n.webgl_compressed_texture_pvrtc&&t(b,{\"rgb pvrtc 4bppv1\":35840,\"rgb pvrtc 2bppv1\":35841,\"rgba pvrtc 4bppv1\":35842,\"rgba pvrtc 2bppv1\":35843}),n.webgl_compressed_texture_etc1&&(b[\"rgb etc1\"]=36196);var v=Array.prototype.slice.call(r.getParameter(34467));Object.keys(b).forEach((function(e){var t=b[e];v.indexOf(t)>=0&&(h[e]=t)}));var g=Object.keys(h);a.textureFormats=g;var y=[];Object.keys(h).forEach((function(e){var t=h[e];y[t]=e}));var x=[];Object.keys(p).forEach((function(e){var t=p[e];x[t]=e}));var w=[];Object.keys(l).forEach((function(e){w[l[e]]=e}));var A=[];Object.keys(d).forEach((function(e){var t=d[e];A[t]=e}));var k=[];Object.keys(c).forEach((function(e){k[c[e]]=e}));var S=g.reduce((function(e,t){var r=h[t];return r===we||r===ye||r===we||r===Ae||r===ke||r===Se||n.ext_srgb&&(r===Oe||r===Ee)?e[r]=r:r===_e||t.indexOf(\"rgba\")>=0?e[r]=ge:e[r]=xe,e}),{});function O(){this.internalformat=ge,this.format=ge,this.type=Fe,this.compressed=!1,this.premultiplyAlpha=!1,this.flipY=!1,this.unpackAlignment=1,this.colorSpace=37444,this.width=0,this.height=0,this.channels=0}function E(e,t){e.internalformat=t.internalformat,e.format=t.format,e.type=t.type,e.compressed=t.compressed,e.premultiplyAlpha=t.premultiplyAlpha,e.flipY=t.flipY,e.unpackAlignment=t.unpackAlignment,e.colorSpace=t.colorSpace,e.width=t.width,e.height=t.height,e.channels=t.channels}function T(e,t){if(\"object\"==typeof t&&t){if(\"premultiplyAlpha\"in t&&(_.type(t.premultiplyAlpha,\"boolean\",\"invalid premultiplyAlpha\"),e.premultiplyAlpha=t.premultiplyAlpha),\"flipY\"in t&&(_.type(t.flipY,\"boolean\",\"invalid texture flip\"),e.flipY=t.flipY),\"alignment\"in t&&(_.oneOf(t.alignment,[1,2,4,8],\"invalid texture unpack alignment\"),e.unpackAlignment=t.alignment),\"colorSpace\"in t&&(_.parameter(t.colorSpace,m,\"invalid colorSpace\"),e.colorSpace=m[t.colorSpace]),\"type\"in t){var r=t.type;_(n.oes_texture_float||!(\"float\"===r||\"float32\"===r),\"you must enable the OES_texture_float extension in order to use floating point textures.\"),_(n.oes_texture_half_float||!(\"half float\"===r||\"float16\"===r),\"you must enable the OES_texture_half_float extension in order to use 16-bit floating point textures.\"),_(n.webgl_depth_texture||!(\"uint16\"===r||\"uint32\"===r||\"depth stencil\"===r),\"you must enable the WEBGL_depth_texture extension in order to use depth/stencil textures.\"),_.parameter(r,p,\"invalid texture type\"),e.type=p[r]}var i=e.width,o=e.height,f=e.channels,u=!1;\"shape\"in t?(_(Array.isArray(t.shape)&&t.shape.length>=2,\"shape must be an array\"),i=t.shape[0],o=t.shape[1],3===t.shape.length&&(f=t.shape[2],_(f>0&&f<=4,\"invalid number of channels\"),u=!0),_(i>=0&&i<=a.maxTextureSize,\"invalid width\"),_(o>=0&&o<=a.maxTextureSize,\"invalid height\")):(\"radius\"in t&&(i=o=t.radius,_(i>=0&&i<=a.maxTextureSize,\"invalid radius\")),\"width\"in t&&(i=t.width,_(i>=0&&i<=a.maxTextureSize,\"invalid width\")),\"height\"in t&&(o=t.height,_(o>=0&&o<=a.maxTextureSize,\"invalid height\")),\"channels\"in t&&(f=t.channels,_(f>0&&f<=4,\"invalid number of channels\"),u=!0)),e.width=0|i,e.height=0|o,e.channels=0|f;var s=!1;if(\"format\"in t){var c=t.format;_(n.webgl_depth_texture||!(\"depth\"===c||\"depth stencil\"===c),\"you must enable the WEBGL_depth_texture extension in order to use depth/stencil textures.\"),_.parameter(c,h,\"invalid texture format\");var l=e.internalformat=h[c];e.format=S[l],c in p&&(\"type\"in t||(e.type=p[c])),c in b&&(e.compressed=!0),s=!0}!u&&s?e.channels=Ne[e.format]:u&&!s?e.channels!==He[e.format]&&(e.format=e.internalformat=He[e.channels]):s&&u&&_(e.channels===Ne[e.format],\"number of channels inconsistent with specified format\")}}function D(e){r.pixelStorei(37440,e.flipY),r.pixelStorei(37441,e.premultiplyAlpha),r.pixelStorei(37443,e.colorSpace),r.pixelStorei(3317,e.unpackAlignment)}function j(){O.call(this),this.xOffset=0,this.yOffset=0,this.data=null,this.needsFree=!1,this.element=null,this.needsCopy=!1}function C(t,r){var n=null;if(ft(r)?n=r:r&&(_.type(r,\"object\",\"invalid pixel data type\"),T(t,r),\"x\"in r&&(t.xOffset=0|r.x),\"y\"in r&&(t.yOffset=0|r.y),ft(r.data)&&(n=r.data)),_(!t.compressed||n instanceof Uint8Array,\"compressed texture data must be stored in a uint8array\"),r.copy){_(!n,\"can not specify copy and data field for the same texture\");var i=o.viewportWidth,f=o.viewportHeight;t.width=t.width||i-t.xOffset,t.height=t.height||f-t.yOffset,t.needsCopy=!0,_(t.xOffset>=0&&t.xOffset=0&&t.yOffset0&&t.width<=i&&t.height>0&&t.height<=f,\"copy texture read out of bounds\")}else if(n){if(e(n))t.channels=t.channels||4,t.data=n,\"type\"in r||t.type!==Fe||(t.type=ut(n));else if(rt(n))t.channels=t.channels||4,function(e,t){var r=t.length;switch(e.type){case Fe:case Be:case Ve:case Ie:var n=L.allocType(e.type,r);n.set(t),e.data=n;break;case Te:e.data=de(t);break;default:_.raise(\"unsupported texture type, must specify a typed array\")}}(t,n),t.alignment=1,t.needsFree=!0;else if(G(n)){var u=n.data;Array.isArray(u)||t.type!==Fe||(t.type=ut(u));var s,c,l,d,m,p,h=n.shape,b=n.stride;3===h.length?(l=h[2],p=b[2]):(_(2===h.length,\"invalid ndarray pixel data, must be 2 or 3D\"),l=1,p=1),s=h[0],c=h[1],d=b[0],m=b[1],t.alignment=1,t.width=s,t.height=c,t.channels=l,t.format=t.internalformat=He[l],t.needsFree=!0,function(e,t,r,n,a,i){for(var o=e.width,f=e.height,u=e.channels,s=st(e,o*f*u),c=0,l=0;l=0,\"oes_texture_float extension not enabled\"):t.type===Te&&_(a.extensions.indexOf(\"oes_texture_half_float\")>=0,\"oes_texture_half_float extension not enabled\")}function z(e,t,n){var a=e.element,o=e.data,f=e.internalformat,u=e.format,s=e.type,c=e.width,l=e.height;D(e),a?r.texImage2D(t,n,u,u,s,a):e.compressed?r.compressedTexImage2D(t,n,f,c,l,0,o):e.needsCopy?(i(),r.copyTexImage2D(t,n,u,e.xOffset,e.yOffset,c,l,0)):r.texImage2D(t,n,u,c,l,0,u,s,o||null)}function F(e,t,n,a,o){var f=e.element,u=e.data,s=e.internalformat,c=e.format,l=e.type,d=e.width,m=e.height;D(e),f?r.texSubImage2D(t,o,n,a,c,l,f):e.compressed?r.compressedTexSubImage2D(t,o,n,a,s,d,m,u):e.needsCopy?(i(),r.copyTexSubImage2D(t,o,n,a,e.xOffset,e.yOffset,d,m)):r.texSubImage2D(t,o,n,a,d,m,c,l,u)}var B=[];function V(){return B.pop()||new j}function I(e){e.needsFree&&L.freeType(e.data),j.call(e),B.push(e)}function P(){O.call(this),this.genMipmaps=!1,this.mipmapHint=We,this.mipmask=0,this.images=Array(16)}function R(e,t,r){var n=e.images[0]=V();e.mipmask=1,n.width=e.width=t,n.height=e.height=r,n.channels=e.channels=4}function M(e,t){var r=null;if(ft(t))E(r=e.images[0]=V(),e),C(r,t),e.mipmask=1;else if(T(e,t),Array.isArray(t.mipmap))for(var n=t.mipmap,a=0;a>=a,r.height>>=a,C(r,n[a]),e.mipmask|=1<=0&&!(\"faces\"in t)&&(e.genMipmaps=!0)}if(\"mag\"in t){var n=t.mag;_.parameter(n,l),e.magFilter=l[n]}var i=e.wrapS,o=e.wrapT;if(\"wrap\"in t){var f=t.wrap;\"string\"==typeof f?(_.parameter(f,c),i=o=c[f]):Array.isArray(f)&&(_.parameter(f[0],c),_.parameter(f[1],c),i=c[f[0]],o=c[f[1]])}else{if(\"wrapS\"in t){var u=t.wrapS;_.parameter(u,c),i=c[u]}if(\"wrapT\"in t){var m=t.wrapT;_.parameter(m,c),o=c[m]}}if(e.wrapS=i,e.wrapT=o,\"anisotropic\"in t){var p=t.anisotropic;_(\"number\"==typeof p&&p>=1&&p<=a.maxAnisotropic,\"aniso samples must be between 1 and \"),e.anisotropic=t.anisotropic}if(\"mipmap\"in t){var h=!1;switch(typeof t.mipmap){case\"string\":_.parameter(t.mipmap,s,\"invalid mipmap hint\"),e.mipmapHint=s[t.mipmap],e.genMipmaps=!0,h=!0;break;case\"boolean\":h=e.genMipmaps=t.mipmap;break;case\"object\":_(Array.isArray(t.mipmap),\"invalid mipmap type\"),e.genMipmaps=!1,h=!0;break;default:_.raise(\"invalid mipmap type\")}h&&!(\"min\"in t)&&(e.minFilter=Re)}}function $(e,t){r.texParameteri(t,10241,e.minFilter),r.texParameteri(t,10240,e.magFilter),r.texParameteri(t,10242,e.wrapS),r.texParameteri(t,10243,e.wrapT),n.ext_texture_filter_anisotropic&&r.texParameteri(t,34046,e.anisotropic),e.genMipmaps&&(r.hint(33170,e.mipmapHint),r.generateMipmap(t))}var K=0,J={},Z=a.maxTextureUnits,ee=Array(Z).map((function(){return null}));function te(e){O.call(this),this.mipmask=0,this.internalformat=ge,this.id=K++,this.refCount=1,this.target=e,this.texture=r.createTexture(),this.unit=-1,this.bindCount=0,this.texInfo=new Y,u.profile&&(this.stats={size:0})}function re(e){r.activeTexture(Ue),r.bindTexture(e.target,e.texture)}function ne(){var e=ee[0];e?r.bindTexture(e.target,e.texture):r.bindTexture(he,null)}function ae(e){var t=e.texture;_(t,\"must not double destroy texture\");var n=e.unit,a=e.target;n>=0&&(r.activeTexture(Ue+n),r.bindTexture(a,null),ee[n]=null),r.deleteTexture(t),e.texture=null,e.params=null,e.pixels=null,e.refCount=0,delete J[e.id],f.textureCount--}return t(te.prototype,{bind:function(){var e=this;e.bindCount+=1;var t=e.unit;if(t<0){for(var n=0;n0)continue;a.unit=-1}ee[n]=e,t=n;break}t>=Z&&_.raise(\"insufficient number of texture units\"),u.profile&&f.maxTextureUnits>u)-o,s.height=s.height||(n.height>>u)-f,_(n.type===s.type&&n.format===s.format&&n.internalformat===s.internalformat,\"incompatible format for texture.subimage\"),_(o>=0&&f>=0&&o+s.width<=n.width&&f+s.height<=n.height,\"texture.subimage write out of bounds\"),_(n.mipmask&1<>f;++f){var s=a>>f,c=o>>f;if(!s||!c)break;r.texImage2D(he,f,n.format,s,c,0,n.format,n.type,null)}return ne(),u.profile&&(n.stats.size=lt(n.internalformat,n.type,a,o,!1,!1)),i},i._reglType=\"texture2d\",i._texture=n,u.profile&&(i.stats=n.stats),i.destroy=function(){n.decRef()},i},createCube:function(e,t,n,i,o,s){var c=new te(be);J[c.id]=c,f.cubeCount++;var l=new Array(6);function d(e,t,r,n,i,o){var f,s=c.texInfo;for(Y.call(s),f=0;f<6;++f)l[f]=q();if(\"number\"!=typeof e&&e)if(\"object\"==typeof e)if(t)M(l[0],e),M(l[1],t),M(l[2],r),M(l[3],n),M(l[4],i),M(l[5],o);else if(X(s,e),T(c,e),\"faces\"in e){var m=e.faces;for(_(Array.isArray(m)&&6===m.length,\"cube faces must be a length 6 array\"),f=0;f<6;++f)_(\"object\"==typeof m[f]&&!!m[f],\"invalid input for cube map face\"),E(l[f],c),M(l[f],m[f])}else for(f=0;f<6;++f)M(l[f],e);else _.raise(\"invalid arguments to cube map\");else{var p=0|e||1;for(f=0;f<6;++f)R(l[f],p,p)}for(E(c,l[0]),_.optional((function(){a.npotTextureCube||_(pe(c.width)&&pe(c.height),\"your browser does not support non power or two texture dimensions\")})),s.genMipmaps?c.mipmask=(l[0].width<<1)-1:c.mipmask=l[0].mipmask,_.textureCube(c,s,l,a),c.internalformat=l[0].internalformat,d.width=l[0].width,d.height=l[0].height,re(c),f=0;f<6;++f)W(l[f],ve+f);for($(s,be),ne(),u.profile&&(c.stats.size=lt(c.internalformat,c.type,d.width,d.height,s.genMipmaps,!0)),d.format=y[c.internalformat],d.type=x[c.type],d.mag=w[s.magFilter],d.min=A[s.minFilter],d.wrapS=k[s.wrapS],d.wrapT=k[s.wrapT],f=0;f<6;++f)Q(l[f]);return d}return d(e,t,n,i,o,s),d.subimage=function(e,t,r,n,a){_(!!t,\"must specify image data\"),_(\"number\"==typeof e&&e===(0|e)&&e>=0&&e<6,\"invalid face\");var i=0|r,o=0|n,f=0|a,u=V();return E(u,c),u.width=0,u.height=0,C(u,t),u.width=u.width||(c.width>>f)-i,u.height=u.height||(c.height>>f)-o,_(c.type===u.type&&c.format===u.format&&c.internalformat===u.internalformat,\"incompatible format for texture.subimage\"),_(i>=0&&o>=0&&i+u.width<=c.width&&o+u.height<=c.height,\"texture.subimage write out of bounds\"),_(c.mipmask&1<>a;++a)r.texImage2D(ve+n,a,c.format,t>>a,t>>a,0,c.format,c.type,null);return ne(),u.profile&&(c.stats.size=lt(c.internalformat,c.type,d.width,d.height,!1,!0)),d}},d._reglType=\"textureCube\",d._texture=c,u.profile&&(d.stats=c.stats),d.destroy=function(){c.decRef()},d},clear:function(){for(var e=0;e>t,e.height>>t,0,e.internalformat,e.type,null);else for(var n=0;n<6;++n)r.texImage2D(ve+n,t,e.internalformat,e.width>>t,e.height>>t,0,e.internalformat,e.type,null);$(e.texInfo,e.target)}))},refresh:function(){for(var e=0;e=0&&c=0&&l0&&d+c<=a.framebufferWidth,\"invalid width for read pixels\"),_(m>0&&m+l<=a.framebufferHeight,\"invalid height for read pixels\"),n();var h=d*m*4;return p||(s===Dt?p=new Uint8Array(h):s===jt&&(p=p||new Float32Array(h))),_.isTypedArray(p,\"data buffer for regl.read() must be a typedarray\"),_(p.byteLength>=h,\"data buffer for regl.read() too small\"),t.pixelStorei(3333,4),t.readPixels(c,l,d,m,6408,s,p),p}return function(e){return e&&\"framebuffer\"in e?function(e){var t;return r.setFBO({framebuffer:e.framebuffer},(function(){t=u(e)})),t}(e):u(e)}}function zt(e){return Array.prototype.slice.call(e)}function Ft(e){return zt(e).join(\"\")}var Bt=\"xyzw\".split(\"\"),Vt=\"dither\",It=\"blend.enable\",Pt=\"blend.color\",Lt=\"blend.equation\",Rt=\"blend.func\",Mt=\"depth.enable\",Wt=\"depth.func\",Ut=\"depth.range\",Gt=\"depth.mask\",Ht=\"colorMask\",Nt=\"cull.enable\",qt=\"cull.face\",Qt=\"frontFace\",Yt=\"lineWidth\",Xt=\"polygonOffset.enable\",$t=\"polygonOffset.offset\",Kt=\"sample.alpha\",Jt=\"sample.enable\",Zt=\"sample.coverage\",er=\"stencil.enable\",tr=\"stencil.mask\",rr=\"stencil.func\",nr=\"stencil.opFront\",ar=\"stencil.opBack\",ir=\"scissor.enable\",or=\"scissor.box\",fr=\"viewport\",ur=\"profile\",sr=\"framebuffer\",cr=\"vert\",lr=\"frag\",dr=\"elements\",mr=\"primitive\",pr=\"count\",hr=\"offset\",br=\"instances\",vr=\"vao\",gr=\"Width\",yr=\"Height\",xr=sr+gr,wr=sr+yr,Ar=\"drawingBufferWidth\",_r=\"drawingBufferHeight\",kr=[Rt,Lt,rr,nr,ar,Zt,fr,or,$t],Sr=34962,Or=34963,Er=5126,Tr=35664,Dr=35665,jr=35666,Cr=5124,zr=35667,Fr=35668,Br=35669,Vr=35670,Ir=35671,Pr=35672,Lr=35673,Rr=35674,Mr=35675,Wr=35676,Ur=35678,Gr=35680,Hr=1028,Nr=1029,qr=2305,Qr=7680,Yr={0:0,1:1,zero:0,one:1,\"src color\":768,\"one minus src color\":769,\"src alpha\":770,\"one minus src alpha\":771,\"dst color\":774,\"one minus dst color\":775,\"dst alpha\":772,\"one minus dst alpha\":773,\"constant color\":32769,\"one minus constant color\":32770,\"constant alpha\":32771,\"one minus constant alpha\":32772,\"src alpha saturate\":776},Xr=[\"constant color, constant alpha\",\"one minus constant color, constant alpha\",\"constant color, one minus constant alpha\",\"one minus constant color, one minus constant alpha\",\"constant alpha, constant color\",\"constant alpha, one minus constant color\",\"one minus constant alpha, constant color\",\"one minus constant alpha, one minus constant color\"],$r={never:512,less:513,\"<\":513,equal:514,\"=\":514,\"==\":514,\"===\":514,lequal:515,\"<=\":515,greater:516,\">\":516,notequal:517,\"!=\":517,\"!==\":517,gequal:518,\">=\":518,always:519},Kr={0:0,zero:0,keep:7680,replace:7681,increment:7682,decrement:7683,\"increment wrap\":34055,\"decrement wrap\":34056,invert:5386},Jr={frag:35632,vert:35633},Zr={cw:2304,ccw:qr};function en(t){return Array.isArray(t)||e(t)||G(t)}function tn(e){return e.sort((function(e,t){return e===fr?-1:t===fr?1:e=1,n>=2,t)}if(4===r){var a=e.data;return new rn(a.thisDep,a.contextDep,a.propDep,t)}if(5===r)return new rn(!1,!1,!1,t);if(6===r){for(var i=!1,o=!1,f=!1,u=0;u=1&&(o=!0),c>=2&&(f=!0)}else 4===s.type&&(i=i||s.data.thisDep,o=o||s.data.contextDep,f=f||s.data.propDep)}return new rn(i,o,f,t)}return new rn(3===r,2===r,1===r,t)}var fn=new rn(!1,!1,!1,(function(){}));function un(e,r,n,a,i,o,f,u,s,c,l,d,m,p,h){var b=c.Record,v={add:32774,subtract:32778,\"reverse subtract\":32779};n.ext_blend_minmax&&(v.min=32775,v.max=32776);var g=n.angle_instanced_arrays,y=n.webgl_draw_buffers,x=n.oes_vertex_array_object,w={dirty:!0,profile:h.profile},A={},k=[],S={},O={};function E(e){return e.replace(\".\",\"_\")}function T(e,t,r){var n=E(e);k.push(e),A[n]=w[n]=!!r,S[n]=t}function j(e,t,r){var n=E(e);k.push(e),Array.isArray(r)?(w[n]=r.slice(),A[n]=r.slice()):w[n]=A[n]=r,O[n]=t}T(Vt,3024),T(It,3042),j(Pt,\"blendColor\",[0,0,0,0]),j(Lt,\"blendEquationSeparate\",[32774,32774]),j(Rt,\"blendFuncSeparate\",[1,0,1,0]),T(Mt,2929,!0),j(Wt,\"depthFunc\",513),j(Ut,\"depthRange\",[0,1]),j(Gt,\"depthMask\",!0),j(Ht,Ht,[!0,!0,!0,!0]),T(Nt,2884),j(qt,\"cullFace\",Nr),j(Qt,Qt,qr),j(Yt,Yt,1),T(Xt,32823),j($t,\"polygonOffset\",[0,0]),T(Kt,32926),T(Jt,32928),j(Zt,\"sampleCoverage\",[1,!1]),T(er,2960),j(tr,\"stencilMask\",-1),j(rr,\"stencilFunc\",[519,0,-1]),j(nr,\"stencilOpSeparate\",[Hr,Qr,Qr,Qr]),j(ar,\"stencilOpSeparate\",[Nr,Qr,Qr,Qr]),T(ir,3089),j(or,\"scissor\",[0,0,e.drawingBufferWidth,e.drawingBufferHeight]),j(fr,fr,[0,0,e.drawingBufferWidth,e.drawingBufferHeight]);var C={gl:e,context:m,strings:r,next:A,current:w,draw:d,elements:o,buffer:i,shader:l,attributes:c.state,vao:c,uniforms:s,framebuffer:u,extensions:n,timer:p,isBufferArgs:en},z={primTypes:ie,compareFuncs:$r,blendFuncs:Yr,blendEquations:v,stencilOps:Kr,glTypes:X,orientationType:Zr};_.optional((function(){C.isArrayLike=me})),y&&(z.backBuffer=[Nr],z.drawBuffer=V(a.maxDrawbuffers,(function(e){return 0===e?[0]:V(e,(function(e){return 36064+e}))})));var F=0;function B(){var e=function(){var e=0,r=[],n=[];function a(){var r=[],n=[];return t((function(){r.push.apply(r,zt(arguments))}),{def:function(){var t=\"v\"+e++;return n.push(t),arguments.length>0&&(r.push(t,\"=\"),r.push.apply(r,zt(arguments)),r.push(\";\")),t},toString:function(){return Ft([n.length>0?\"var \"+n.join(\",\")+\";\":\"\",Ft(r)])}})}function i(){var e=a(),r=a(),n=e.toString,i=r.toString;function o(t,n){r(t,n,\"=\",e.def(t,n),\";\")}return t((function(){e.apply(e,zt(arguments))}),{def:e.def,entry:e,exit:r,save:o,set:function(t,r,n){o(t,r),e(t,r,\"=\",n,\";\")},toString:function(){return n()+i()}})}var o=a(),f={};return{global:o,link:function(t){for(var a=0;a=0,'unknown parameter \"'+t+'\"',d.commandStr)}))}t(m),t(p)}));var h=function(e,t){var r=e.static;if(\"string\"==typeof r[lr]&&\"string\"==typeof r[cr]){if(Object.keys(t.dynamic).length>0)return null;var n=t.static,a=Object.keys(n);if(a.length>0&&\"number\"==typeof n[a[0]]){for(var i=[],o=0;o=0,\"invalid \"+e,r.commandStr)):u=!1,\"height\"in i?(f=0|i.height,_.command(f>=0,\"invalid \"+e,r.commandStr)):u=!1,new rn(!u&&t&&t.thisDep,!u&&t&&t.contextDep,!u&&t&&t.propDep,(function(e,t){var r=e.shared.context,n=o;\"width\"in i||(n=t.def(r,\".\",xr,\"-\",s));var a=f;return\"height\"in i||(a=t.def(r,\".\",wr,\"-\",c)),[s,c,n,a]}))}if(e in a){var l=a[e],d=on(l,(function(t,r){var n=t.invoke(r,l);_.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e)}));var a=t.shared.context,i=r.def(n,\".x|0\"),o=r.def(n,\".y|0\"),f=r.def('\"width\" in ',n,\"?\",n,\".width|0:\",\"(\",a,\".\",xr,\"-\",i,\")\"),u=r.def('\"height\" in ',n,\"?\",n,\".height|0:\",\"(\",a,\".\",wr,\"-\",o,\")\");return _.optional((function(){t.assert(r,f+\">=0&&\"+u+\">=0\",\"invalid \"+e)})),[i,o,f,u]}));return t&&(d.thisDep=d.thisDep||t.thisDep,d.contextDep=d.contextDep||t.contextDep,d.propDep=d.propDep||t.propDep),d}return t?new rn(t.thisDep,t.contextDep,t.propDep,(function(e,t){var r=e.shared.context;return[0,0,t.def(r,\".\",xr),t.def(r,\".\",wr)]})):null}var o=i(fr);if(o){var f=o;o=new rn(o.thisDep,o.contextDep,o.propDep,(function(e,t){var r=f.append(e,t),n=e.shared.context;return t.set(n,\".viewportWidth\",r[2]),t.set(n,\".viewportHeight\",r[3]),r}))}return{viewport:o,scissor_box:i(or)}}(e,y,d),w=function(e,t){var r=e.static,n=e.dynamic,a={},i=!1,f=function(){if(vr in r){var e=r[vr];return null!==e&&null===c.getVAO(e)&&(e=c.createVAO(e)),i=!0,a.vao=e,an((function(t){var r=c.getVAO(e);return r?t.link(r):\"null\"}))}if(vr in n){i=!0;var t=n[vr];return on(t,(function(e,r){var n=e.invoke(r,t);return r.def(e.shared.vao+\".getVAO(\"+n+\")\")}))}return null}(),u=!1,s=function(){if(dr in r){var e=r[dr];if(a.elements=e,en(e)){var s=a.elements=o.create(e,!0);e=o.getElements(s),u=!0}else e&&(e=o.getElements(e),u=!0,_.command(e,\"invalid elements\",t.commandStr));var c=an((function(t,r){if(e){var n=t.link(e);return t.ELEMENTS=n,n}return t.ELEMENTS=null,null}));return c.value=e,c}if(dr in n){u=!0;var l=n[dr];return on(l,(function(e,t){var r=e.shared,n=r.isBufferArgs,a=r.elements,i=e.invoke(t,l),o=t.def(\"null\"),f=t.def(n,\"(\",i,\")\"),u=e.cond(f).then(o,\"=\",a,\".createStream(\",i,\");\").else(o,\"=\",a,\".getElements(\",i,\");\");return _.optional((function(){e.assert(u.else,\"!\"+i+\"||\"+o,\"invalid elements\")})),t.entry(u),t.exit(e.cond(f).then(a,\".destroyStream(\",o,\");\")),e.ELEMENTS=o,o}))}return i?new rn(f.thisDep,f.contextDep,f.propDep,(function(e,t){return t.def(e.shared.vao+\".currentVAO?\"+e.shared.elements+\".getElements(\"+e.shared.vao+\".currentVAO.elements):null\")})):null}();function l(e,o){if(e in r){var s=0|r[e];return o?a.offset=s:a.instances=s,_.command(!o||s>=0,\"invalid \"+e,t.commandStr),an((function(e,t){return o&&(e.OFFSET=s),s}))}if(e in n){var c=n[e];return on(c,(function(t,r){var n=t.invoke(r,c);return o&&(t.OFFSET=n,_.optional((function(){t.assert(r,n+\">=0\",\"invalid \"+e)}))),n}))}if(o){if(u)return an((function(e,t){return e.OFFSET=0,0}));if(i)return new rn(f.thisDep,f.contextDep,f.propDep,(function(e,t){return t.def(e.shared.vao+\".currentVAO?\"+e.shared.vao+\".currentVAO.offset:0\")}))}else if(i)return new rn(f.thisDep,f.contextDep,f.propDep,(function(e,t){return t.def(e.shared.vao+\".currentVAO?\"+e.shared.vao+\".currentVAO.instances:-1\")}));return null}var d=l(hr,!0),m=function(){if(mr in r){var e=r[mr];return a.primitive=e,_.commandParameter(e,ie,\"invalid primitve\",t.commandStr),an((function(t,r){return ie[e]}))}if(mr in n){var o=n[mr];return on(o,(function(e,t){var r=e.constants.primTypes,n=e.invoke(t,o);return _.optional((function(){e.assert(t,n+\" in \"+r,\"invalid primitive, must be one of \"+Object.keys(ie))})),t.def(r,\"[\",n,\"]\")}))}return u?nn(s)?s.value?an((function(e,t){return t.def(e.ELEMENTS,\".primType\")})):an((function(){return 4})):new rn(s.thisDep,s.contextDep,s.propDep,(function(e,t){var r=e.ELEMENTS;return t.def(r,\"?\",r,\".primType:\",4)})):i?new rn(f.thisDep,f.contextDep,f.propDep,(function(e,t){return t.def(e.shared.vao+\".currentVAO?\"+e.shared.vao+\".currentVAO.primitive:4\")})):null}(),p=function(){if(pr in r){var e=0|r[pr];return a.count=e,_.command(\"number\"==typeof e&&e>=0,\"invalid vertex count\",t.commandStr),an((function(){return e}))}if(pr in n){var o=n[pr];return on(o,(function(e,t){var r=e.invoke(t,o);return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"&&'+r+\">=0&&\"+r+\"===(\"+r+\"|0)\",\"invalid vertex count\")})),r}))}if(u){if(nn(s)){if(s)return d?new rn(d.thisDep,d.contextDep,d.propDep,(function(e,t){var r=t.def(e.ELEMENTS,\".vertCount-\",e.OFFSET);return _.optional((function(){e.assert(t,r+\">=0\",\"invalid vertex offset/element buffer too small\")})),r})):an((function(e,t){return t.def(e.ELEMENTS,\".vertCount\")}));var c=an((function(){return-1}));return _.optional((function(){c.MISSING=!0})),c}var l=new rn(s.thisDep||d.thisDep,s.contextDep||d.contextDep,s.propDep||d.propDep,(function(e,t){var r=e.ELEMENTS;return e.OFFSET?t.def(r,\"?\",r,\".vertCount-\",e.OFFSET,\":-1\"):t.def(r,\"?\",r,\".vertCount:-1\")}));return _.optional((function(){l.DYNAMIC=!0})),l}if(i){var m=new rn(f.thisDep,f.contextDep,f.propDep,(function(e,t){return t.def(e.shared.vao,\".currentVAO?\",e.shared.vao,\".currentVAO.count:-1\")}));return m}return 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 \"+Object.keys($r))})),r.def(a,\"[\",n,\"]\")}));case Ut:return f((function(e){return _.command(me(e)&&2===e.length&&\"number\"==typeof e[0]&&\"number\"==typeof e[1]&&e[0]<=e[1],\"depth range is 2d array\",t.commandStr),e}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===2&&typeof \"+r+'[0]===\"number\"&&typeof '+r+'[1]===\"number\"&&'+r+\"[0]<=\"+r+\"[1]\",\"depth range must be a 2d array\")})),[t.def(\"+\",r,\"[0]\"),t.def(\"+\",r,\"[1]\")]}));case Rt:return f((function(e){_.commandType(e,\"object\",\"blend.func\",t.commandStr);var r=\"srcRGB\"in e?e.srcRGB:e.src,n=\"srcAlpha\"in e?e.srcAlpha:e.src,a=\"dstRGB\"in e?e.dstRGB:e.dst,i=\"dstAlpha\"in e?e.dstAlpha:e.dst;return _.commandParameter(r,Yr,o+\".srcRGB\",t.commandStr),_.commandParameter(n,Yr,o+\".srcAlpha\",t.commandStr),_.commandParameter(a,Yr,o+\".dstRGB\",t.commandStr),_.commandParameter(i,Yr,o+\".dstAlpha\",t.commandStr),_.command(-1===Xr.indexOf(r+\", \"+a),\"unallowed blending combination (srcRGB, dstRGB) = (\"+r+\", \"+a+\")\",t.commandStr),[Yr[r],Yr[a],Yr[n],Yr[i]]}),(function(t,r,n){var a=t.constants.blendFuncs;function i(i,o){var f=r.def('\"',i,o,'\" in ',n,\"?\",n,\".\",i,o,\":\",n,\".\",i);return _.optional((function(){t.assert(r,f+\" in \"+a,\"invalid \"+e+\".\"+i+o+\", must be one of \"+Object.keys(Yr))})),f}_.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid blend func, must be an object\")}));var o=i(\"src\",\"RGB\"),f=i(\"dst\",\"RGB\");_.optional((function(){var e=t.constants.invalidBlendCombinations;t.assert(r,e+\".indexOf(\"+o+'+\", \"+'+f+\") === -1 \",\"unallowed blending combination for (srcRGB, dstRGB)\")}));var u=r.def(a,\"[\",o,\"]\"),s=r.def(a,\"[\",i(\"src\",\"Alpha\"),\"]\");return[u,r.def(a,\"[\",f,\"]\"),s,r.def(a,\"[\",i(\"dst\",\"Alpha\"),\"]\")]}));case Lt:return f((function(r){return\"string\"==typeof r?(_.commandParameter(r,v,\"invalid \"+e,t.commandStr),[v[r],v[r]]):\"object\"==typeof r?(_.commandParameter(r.rgb,v,e+\".rgb\",t.commandStr),_.commandParameter(r.alpha,v,e+\".alpha\",t.commandStr),[v[r.rgb],v[r.alpha]]):void _.commandRaise(\"invalid blend.equation\",t.commandStr)}),(function(t,r,n){var a=t.constants.blendEquations,i=r.def(),o=r.def(),f=t.cond(\"typeof \",n,'===\"string\"');return _.optional((function(){function r(e,r,n){t.assert(e,n+\" in \"+a,\"invalid \"+r+\", must be one of \"+Object.keys(v))}r(f.then,e,n),t.assert(f.else,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e),r(f.else,e+\".rgb\",n+\".rgb\"),r(f.else,e+\".alpha\",n+\".alpha\")})),f.then(i,\"=\",o,\"=\",a,\"[\",n,\"];\"),f.else(i,\"=\",a,\"[\",n,\".rgb];\",o,\"=\",a,\"[\",n,\".alpha];\"),r(f),[i,o]}));case Pt:return f((function(e){return _.command(me(e)&&4===e.length,\"blend.color must be a 4d array\",t.commandStr),V(4,(function(t){return+e[t]}))}),(function(e,t,r){return _.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 ',r,\"?\",n,\"[\",r,\".cmp]\",\":\",Qr),t.def(r,\".ref|0\"),t.def('\"mask\" in ',r,\"?\",r,\".mask|0:-1\")]}));case nr:case ar:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.fail||\"keep\",a=r.zfail||\"keep\",i=r.zpass||\"keep\";return _.commandParameter(n,Kr,e+\".fail\",t.commandStr),_.commandParameter(a,Kr,e+\".zfail\",t.commandStr),_.commandParameter(i,Kr,e+\".zpass\",t.commandStr),[e===ar?Nr:Hr,Kr[n],Kr[a],Kr[i]]}),(function(t,r,n){var a=t.constants.stencilOps;function i(i){return _.optional((function(){t.assert(r,'!(\"'+i+'\" in '+n+\")||(\"+n+\".\"+i+\" in \"+a+\")\",\"invalid \"+e+\".\"+i+\", must be one of \"+Object.keys(Kr))})),r.def('\"',i,'\" in ',n,\"?\",a,\"[\",n,\".\",i,\"]:\",Qr)}return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e)})),[e===ar?Nr:Hr,i(\"fail\"),i(\"zfail\"),i(\"zpass\")]}));case $t:return f((function(e){_.commandType(e,\"object\",o,t.commandStr);var r=0|e.factor,n=0|e.units;return _.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 ',r,\"?+\",r,\".value:1\"),t.def(\"!!\",r,\".invert\")]}))}})),i}(e,d),S=function(e,t,n){var a=e.static,i=e.dynamic;function o(e){if(e in a){var t=r.id(a[e]);_.optional((function(){l.shader(Jr[e],t,_.guessCommand())}));var n=an((function(){return t}));return n.id=t,n}if(e in i){var o=i[e];return on(o,(function(t,r){var n=t.invoke(r,o),a=r.def(t.shared.strings,\".id(\",n,\")\");return _.optional((function(){r(t.shared.shader,\".shader(\",Jr[e],\",\",a,\",\",t.command,\");\")})),a}))}return null}var f,u=o(lr),s=o(cr),c=null;return nn(u)&&nn(s)?(c=l.program(s.id,u.id,null,n),f=an((function(e,t){return e.link(c)}))):f=new rn(u&&u.thisDep||s&&s.thisDep,u&&u.contextDep||s&&s.contextDep,u&&u.propDep||s&&s.propDep,(function(e,t){var r,n=e.shared.shader;r=u?u.append(e,t):t.def(n,\".\",lr);var a=n+\".program(\"+(s?s.append(e,t):t.def(n,\".\",cr))+\",\"+r;return _.optional((function(){a+=\",\"+e.command})),t.def(a+\")\")})),{frag:u,vert:s,progVar:f,program:c}}(e,0,h);function O(e){var 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 t.global.def(\"[\",V(i.length,(function(r){return _.command(\"number\"==typeof i[r]||\"boolean\"==typeof i[r],\"invalid uniform \"+e,t.commandStr),i[r]})),\"]\")})):_.commandRaise('invalid or missing data for uniform \"'+e+'\"',t.commandStr);n.value=i,a[e]=n})),Object.keys(n).forEach((function(e){var t=n[e];a[e]=on(t,(function(e,r){return e.invoke(r,t)}))})),a}(f,d),D.drawVAO=D.scopeVAO=w.vao,!D.drawVAO&&S.program&&!h&&n.angle_instanced_arrays&&w.static.elements){var j=!0,C=S.program.attributes.map((function(e){var r=t.static[e];return j=j&&!!r,r}));if(j&&C.length>0){var z=c.getVAO(c.createVAO({attributes:C,elements:w.static.elements}));D.drawVAO=new rn(null,null,null,(function(e,t){return e.link(z)})),D.useVAO=!0}}return h?D.useVAO=!0:D.attributes=function(e,t){var n=e.static,a=e.dynamic,o={};return Object.keys(n).forEach((function(e){var a=n[e],f=r.id(e),u=new b;if(en(a))u.state=1,u.buffer=i.getBuffer(i.create(a,Sr,!1,!0)),u.type=0;else{var s=i.getBuffer(a);if(s)u.state=1,u.buffer=s,u.type=0;else if(_.command(\"object\"==typeof a&&a,\"invalid data for attribute \"+e,t.commandStr),\"constant\"in a){var c=a.constant;u.buffer=\"null\",u.state=2,\"number\"==typeof c?u.x=c:(_.command(me(c)&&c.length>0&&c.length<=4,\"invalid constant for attribute \"+e,t.commandStr),Bt.forEach((function(e,t){t=0,'invalid offset for attribute \"'+e+'\"',t.commandStr);var d=0|a.stride;_.command(d>=0&&d<256,'invalid stride for attribute \"'+e+'\", must be integer betweeen [0, 255]',t.commandStr);var m=0|a.size;_.command(!(\"size\"in a)||m>0&&m<=4,'invalid size for attribute \"'+e+'\", must be 1,2,3,4',t.commandStr);var p=!!a.normalized,h=0;\"type\"in a&&(_.commandParameter(a.type,X,\"invalid type for attribute \"+e,t.commandStr),h=X[a.type]);var v=0|a.divisor;_.optional((function(){\"divisor\"in a&&(_.command(0===v||g,'cannot specify divisor for attribute \"'+e+'\", instancing not supported',t.commandStr),_.command(v>=0,'invalid divisor for attribute \"'+e+'\"',t.commandStr));var r=t.commandStr,n=[\"buffer\",\"offset\",\"divisor\",\"normalized\",\"type\",\"size\",\"stride\"];Object.keys(a).forEach((function(t){_.command(n.indexOf(t)>=0,'unknown parameter \"'+t+'\" for attribute pointer \"'+e+'\" (valid parameters are '+n+\")\",r)}))})),u.buffer=s,u.state=1,u.size=m,u.normalized=p,u.type=h||s.dtype,u.offset=l,u.stride=d,u.divisor=v}}o[e]=an((function(e,t){var r=e.attribCache;if(f in r)return r[f];var n={isStream:!1};return Object.keys(u).forEach((function(e){n[e]=u[e]})),u.buffer&&(n.buffer=e.link(u.buffer),n.type=n.type||n.buffer+\".dtype\"),r[f]=n,n}))})),Object.keys(a).forEach((function(e){var t=a[e];o[e]=on(t,(function(r,n){var a=r.invoke(n,t),i=r.shared,o=r.constants,f=i.isBufferArgs,u=i.buffer;_.optional((function(){r.assert(n,a+\"&&(typeof \"+a+'===\"object\"||typeof '+a+'===\"function\")&&('+f+\"(\"+a+\")||\"+u+\".getBuffer(\"+a+\")||\"+u+\".getBuffer(\"+a+\".buffer)||\"+f+\"(\"+a+'.buffer)||(\"constant\" in '+a+\"&&(typeof \"+a+'.constant===\"number\"||'+i.isArrayLike+\"(\"+a+\".constant))))\",'invalid dynamic attribute \"'+e+'\"')}));var s={isStream:n.def(!1)},c=new b;c.state=1,Object.keys(c).forEach((function(e){s[e]=n.def(\"\"+c[e])}));var l=s.buffer,d=s.type;function m(e){n(s[e],\"=\",a,\".\",e,\"|0;\")}return n(\"if(\",f,\"(\",a,\")){\",s.isStream,\"=true;\",l,\"=\",u,\".createStream(\",Sr,\",\",a,\");\",d,\"=\",l,\".dtype;\",\"}else{\",l,\"=\",u,\".getBuffer(\",a,\");\",\"if(\",l,\"){\",d,\"=\",l,\".dtype;\",'}else if(\"constant\" in ',a,\"){\",s.state,\"=\",2,\";\",\"if(typeof \"+a+'.constant === \"number\"){',s[Bt[0]],\"=\",a,\".constant;\",Bt.slice(1).map((function(e){return s[e]})).join(\"=\"),\"=0;\",\"}else{\",Bt.map((function(e,t){return s[e]+\"=\"+a+\".constant.length>\"+t+\"?\"+a+\".constant[\"+t+\"]:0;\"})).join(\"\"),\"}}else{\",\"if(\",f,\"(\",a,\".buffer)){\",l,\"=\",u,\".createStream(\",Sr,\",\",a,\".buffer);\",\"}else{\",l,\"=\",u,\".getBuffer(\",a,\".buffer);\",\"}\",d,'=\"type\" in ',a,\"?\",o.glTypes,\"[\",a,\".type]:\",l,\".dtype;\",s.normalized,\"=!!\",a,\".normalized;\"),m(\"size\"),m(\"offset\"),m(\"stride\"),m(\"divisor\"),n(\"}}\"),n.exit(\"if(\",s.isStream,\"){\",u,\".destroyStream(\",l,\");\",\"}\"),s}))})),o}(t,d),D.context=function(e){var t=e.static,r=e.dynamic,n={};return Object.keys(t).forEach((function(e){var r=t[e];n[e]=an((function(e,t){return\"number\"==typeof r||\"boolean\"==typeof r?\"\"+r:e.link(r)}))})),Object.keys(r).forEach((function(e){var t=r[e];n[e]=on(t,(function(e,r){return e.invoke(r,t)}))})),n}(s),D}function P(e,t,r){var n=e.shared.context,a=e.scope();Object.keys(r).forEach((function(i){t.save(n,\".\"+i);var o=r[i].append(e,t);Array.isArray(o)?a(n,\".\",i,\"=[\",o.join(),\"];\"):a(n,\".\",i,\"=\",o,\";\")})),t(a)}function L(e,t,r,n){var a,i=e.shared,o=i.gl,f=i.framebuffer;y&&(a=t.def(i.extensions,\".webgl_draw_buffers\"));var u,s=e.constants,c=s.drawBuffer,l=s.backBuffer;u=r?r.append(e,t):t.def(f,\".next\"),n||t(\"if(\",u,\"!==\",f,\".cur){\"),t(\"if(\",u,\"){\",o,\".bindFramebuffer(\",36160,\",\",u,\".framebuffer);\"),y&&t(a,\".drawBuffersWEBGL(\",c,\"[\",u,\".colorAttachments.length]);\"),t(\"}else{\",o,\".bindFramebuffer(\",36160,\",null);\"),y&&t(a,\".drawBuffersWEBGL(\",l,\");\"),t(\"}\",f,\".cur=\",u,\";\"),n||t(\"}\")}function R(e,t,r){var n=e.shared,a=n.gl,i=e.current,o=e.next,f=n.current,u=n.next,s=e.cond(f,\".dirty\");k.forEach((function(t){var n,c,l=E(t);if(!(l in r.state))if(l in o){n=o[l],c=i[l];var d=V(w[l].length,(function(e){return s.def(n,\"[\",e,\"]\")}));s(e.cond(d.map((function(e,t){return e+\"!==\"+c+\"[\"+t+\"]\"})).join(\"||\")).then(a,\".\",O[l],\"(\",d,\");\",d.map((function(e,t){return c+\"[\"+t+\"]=\"+e})).join(\";\"),\";\"))}else{n=s.def(u,\".\",l);var m=e.cond(n,\"!==\",f,\".\",l);s(m),l in S?m(e.cond(n).then(a,\".enable(\",S[l],\");\").else(a,\".disable(\",S[l],\");\"),f,\".\",l,\"=\",n,\";\"):m(a,\".\",O[l],\"(\",n,\");\",f,\".\",l,\"=\",n,\";\")}})),0===Object.keys(r.state).length&&s(f,\".dirty=false;\"),t(s)}function M(e,t,r,n){var a=e.shared,i=e.current,o=a.current,f=a.gl;tn(Object.keys(r)).forEach((function(a){var u=r[a];if(!n||n(u)){var s=u.append(e,t);if(S[a]){var c=S[a];nn(u)?t(f,s?\".enable(\":\".disable(\",c,\");\"):t(e.cond(s).then(f,\".enable(\",c,\");\").else(f,\".disable(\",c,\");\")),t(o,\".\",a,\"=\",s,\";\")}else if(me(s)){var l=i[a];t(f,\".\",O[a],\"(\",s,\");\",s.map((function(e,t){return l+\"[\"+t+\"]=\"+e})).join(\";\"),\";\")}else t(f,\".\",O[a],\"(\",s,\");\",o,\".\",a,\"=\",s,\";\")}}))}function W(e,t){g&&(e.instancing=t.def(e.shared.extensions,\".angle_instanced_arrays\"))}function U(e,t,r,n,a){var i,o,f,u=e.shared,s=e.stats,c=u.current,l=u.timer,d=r.profile;function m(){return\"undefined\"==typeof performance?\"Date.now()\":\"performance.now()\"}function h(e){e(i=t.def(),\"=\",m(),\";\"),\"string\"==typeof a?e(s,\".count+=\",a,\";\"):e(s,\".count++;\"),p&&(n?e(o=t.def(),\"=\",l,\".getNumPendingQueries();\"):e(l,\".beginQuery(\",s,\");\"))}function b(e){e(s,\".cpuTime+=\",m(),\"-\",i,\";\"),p&&(n?e(l,\".pushScopeStats(\",o,\",\",l,\".getNumPendingQueries(),\",s,\");\"):e(l,\".endQuery();\"))}function v(e){var r=t.def(c,\".profile\");t(c,\".profile=\",e,\";\"),t.exit(c,\".profile=\",r,\";\")}if(d){if(nn(d))return void(d.enable?(h(t),b(t.exit),v(\"true\")):v(\"false\"));v(f=d.append(e,t))}else f=t.def(c,\".profile\");var g=e.block();h(g),t(\"if(\",f,\"){\",g,\"}\");var y=e.block();b(y),t.exit(\"if(\",f,\"){\",y,\"}\")}function G(e,t,r,n,a){var i=e.shared;n.forEach((function(n){var o,f=n.name,u=r.attributes[f];if(u){if(!a(u))return;o=u.append(e,t)}else{if(!a(fn))return;var s=e.scopeAttrib(f);_.optional((function(){e.assert(t,s+\".state\",\"missing attribute \"+f)})),o={},Object.keys(new b).forEach((function(e){o[e]=t.def(s,\".\",e)}))}!function(r,n,a){var o=i.gl,f=t.def(r,\".location\"),u=t.def(i.attributes,\"[\",f,\"]\"),s=a.state,c=a.buffer,l=[a.x,a.y,a.z,a.w],d=[\"buffer\",\"normalized\",\"offset\",\"stride\"];function m(){t(\"if(!\",u,\".buffer){\",o,\".enableVertexAttribArray(\",f,\");}\");var r,i=a.type;if(r=a.size?t.def(a.size,\"||\",n):n,t(\"if(\",u,\".type!==\",i,\"||\",u,\".size!==\",r,\"||\",d.map((function(e){return u+\".\"+e+\"!==\"+a[e]})).join(\"||\"),\"){\",o,\".bindBuffer(\",Sr,\",\",c,\".buffer);\",o,\".vertexAttribPointer(\",[f,r,i,a.normalized,a.stride,a.offset],\");\",u,\".type=\",i,\";\",u,\".size=\",r,\";\",d.map((function(e){return u+\".\"+e+\"=\"+a[e]+\";\"})).join(\"\"),\"}\"),g){var s=a.divisor;t(\"if(\",u,\".divisor!==\",s,\"){\",e.instancing,\".vertexAttribDivisorANGLE(\",[f,s],\");\",u,\".divisor=\",s,\";}\")}}function p(){t(\"if(\",u,\".buffer){\",o,\".disableVertexAttribArray(\",f,\");\",u,\".buffer=null;\",\"}if(\",Bt.map((function(e,t){return u+\".\"+e+\"!==\"+l[t]})).join(\"||\"),\"){\",o,\".vertexAttrib4f(\",f,\",\",l,\");\",Bt.map((function(e,t){return u+\".\"+e+\"=\"+l[t]+\";\"})).join(\"\"),\"}\")}1===s?m():2===s?p():(t(\"if(\",s,\"===\",1,\"){\"),m(),t(\"}else{\"),p(),t(\"}\"))}(e.link(n),function(e){switch(e){case Tr:case zr:case Ir:return 2;case Dr:case Fr:case Pr:return 3;case jr:case Br:case Lr:return 4;default:return 1}}(n.info.type),o)}))}function H(e,t,n,a,i,o){for(var f,u=e.shared,s=u.gl,c={},l=0;l1){if(!b)continue;var v=m.replace(\"[0]\",\"\");if(c[v])continue;c[v]=1}var g,y=e.link(d)+\".location\";if(b){if(!i(b))continue;if(nn(b)){var x=b.value;if(_.command(null!=x,'missing uniform \"'+m+'\"',e.commandStr),p===Ur||p===Gr){_.command(\"function\"==typeof x&&(p===Ur&&(\"texture2d\"===x._reglType||\"framebuffer\"===x._reglType)||p===Gr&&(\"textureCube\"===x._reglType||\"framebufferCube\"===x._reglType)),\"invalid texture for uniform \"+m,e.commandStr);var w=e.link(x._texture||x.color[0]._texture);t(s,\".uniform1i(\",y,\",\",w+\".bind());\"),t.exit(w,\".unbind();\")}else if(p===Rr||p===Mr||p===Wr){_.optional((function(){_.command(me(x),\"invalid matrix for uniform \"+m,e.commandStr),_.command(p===Rr&&4===x.length||p===Mr&&9===x.length||p===Wr&&16===x.length,\"invalid length for matrix uniform \"+m,e.commandStr)}));var A=e.global.def(\"new Float32Array([\"+Array.prototype.slice.call(x)+\"])\"),k=2;p===Mr?k=3:p===Wr&&(k=4),t(s,\".uniformMatrix\",k,\"fv(\",y,\",false,\",A,\");\")}else{switch(p){case Er:1===h?_.commandType(x,\"number\",\"uniform \"+m,e.commandStr):_.command(me(x)&&x.length===h,\"uniform \"+m,e.commandStr),f=\"1f\";break;case Tr:_.command(me(x)&&x.length&&x.length%2==0&&x.length<=2*h,\"uniform \"+m,e.commandStr),f=\"2f\";break;case Dr:_.command(me(x)&&x.length&&x.length%3==0&&x.length<=3*h,\"uniform \"+m,e.commandStr),f=\"3f\";break;case jr:_.command(me(x)&&x.length&&x.length%4==0&&x.length<=4*h,\"uniform \"+m,e.commandStr),f=\"4f\";break;case Vr:1===h?_.commandType(x,\"boolean\",\"uniform \"+m,e.commandStr):_.command(me(x)&&x.length===h,\"uniform \"+m,e.commandStr),f=\"1i\";break;case Cr:1===h?_.commandType(x,\"number\",\"uniform \"+m,e.commandStr):_.command(me(x)&&x.length===h,\"uniform \"+m,e.commandStr),f=\"1i\";break;case Ir:case zr:_.command(me(x)&&x.length&&x.length%2==0&&x.length<=2*h,\"uniform \"+m,e.commandStr),f=\"2i\";break;case Pr:case Fr:_.command(me(x)&&x.length&&x.length%3==0&&x.length<=3*h,\"uniform \"+m,e.commandStr),f=\"3i\";break;case Lr:case Br:_.command(me(x)&&x.length&&x.length%4==0&&x.length<=4*h,\"uniform \"+m,e.commandStr),f=\"4i\"}h>1?(f+=\"v\",x=e.global.def(\"[\"+Array.prototype.slice.call(x)+\"]\")):x=me(x)?Array.prototype.slice.call(x):x,t(s,\".uniform\",f,\"(\",y,\",\",x,\");\")}continue}g=b.append(e,t)}else{if(!i(fn))continue;g=t.def(u.uniforms,\"[\",r.id(m),\"]\")}p===Ur?(_(!Array.isArray(g),\"must specify a scalar prop for textures\"),t(\"if(\",g,\"&&\",g,'._reglType===\"framebuffer\"){',g,\"=\",g,\".color[0];\",\"}\")):p===Gr&&(_(!Array.isArray(g),\"must specify a scalar prop for cube maps\"),t(\"if(\",g,\"&&\",g,'._reglType===\"framebufferCube\"){',g,\"=\",g,\".color[0];\",\"}\")),_.optional((function(){function r(r,n){e.assert(t,r,'bad data or missing for uniform \"'+m+'\". '+n)}function n(e,t){1===t&&_(!Array.isArray(g),\"must not specify an array type for uniform\"),r(\"Array.isArray(\"+g+\") && typeof \"+g+'[0]===\" '+e+'\" || typeof '+g+'===\"'+e+'\"',\"invalid type, expected \"+e)}function a(t,n,a){Array.isArray(g)?_(g.length&&g.length%t==0&&g.length<=t*a,\"must have length of \"+(1===a?\"\":\"n * \")+t):r(u.isArrayLike+\"(\"+g+\")&&\"+g+\".length && \"+g+\".length % \"+t+\" === 0 && \"+g+\".length<=\"+t*a,\"invalid vector, should have length of \"+(1===a?\"\":\"n * \")+t,e.commandStr)}function i(t){_(!Array.isArray(g),\"must not specify a value type\"),r(\"typeof \"+g+'===\"function\"&&'+g+'._reglType===\"texture'+(3553===t?\"2d\":\"Cube\")+'\"',\"invalid texture type\",e.commandStr)}switch(p){case Cr:n(\"number\",h);break;case zr:a(2,0,h);break;case Fr:a(3,0,h);break;case Br:a(4,0,h);break;case Er:n(\"number\",h);break;case Tr:a(2,0,h);break;case Dr:a(3,0,h);break;case jr:a(4,0,h);break;case Vr:n(\"boolean\",h);break;case Ir:a(2,0,h);break;case Pr:a(3,0,h);break;case Lr:case Rr:a(4,0,h);break;case Mr:a(9,0,h);break;case Wr:a(16,0,h);break;case Ur:i(3553);break;case Gr:i(34067)}}));var S=1;switch(p){case Ur:case Gr:var O=t.def(g,\"._texture\");t(s,\".uniform1i(\",y,\",\",O,\".bind());\"),t.exit(O,\".unbind();\");continue;case Cr:case Vr:f=\"1i\";break;case zr:case Ir:f=\"2i\",S=2;break;case Fr:case Pr:f=\"3i\",S=3;break;case Br:case Lr:f=\"4i\",S=4;break;case Er:f=\"1f\";break;case Tr:f=\"2f\",S=2;break;case Dr:f=\"3f\",S=3;break;case jr:f=\"4f\",S=4;break;case Rr:f=\"Matrix2fv\";break;case Mr:f=\"Matrix3fv\";break;case Wr:f=\"Matrix4fv\"}if(-1===f.indexOf(\"Matrix\")&&h>1&&(f+=\"v\",S=1),\"M\"===f.charAt(0)){t(s,\".uniform\",f,\"(\",y,\",\");var E=Math.pow(p-Rr+2,2),T=e.global.def(\"new Float32Array(\",E,\")\");Array.isArray(g)?t(\"false,(\",V(E,(function(e){return T+\"[\"+e+\"]=\"+g[e]})),\",\",T,\")\"):t(\"false,(Array.isArray(\",g,\")||\",g,\" instanceof Float32Array)?\",g,\":(\",V(E,(function(e){return T+\"[\"+e+\"]=\"+g+\"[\"+e+\"]\"})),\",\",T,\")\"),t(\");\")}else if(S>1){for(var D=[],j=[],C=0;C=0\",\"missing vertex count\")}))):(a=u.def(o,\".\",pr),_.optional((function(){e.assert(u,a+\">=0\",\"missing vertex count\")}))),a}();if(\"number\"==typeof p){if(0===p)return}else r(\"if(\",p,\"){\"),r.exit(\"}\");g&&(c=s(br),l=e.instancing);var h=u+\".type\",b=f.elements&&nn(f.elements)&&!f.vaoActive;function v(){function e(){r(l,\".drawElementsInstancedANGLE(\",[d,p,h,m+\"<<((\"+h+\"-5121)>>1)\",c],\");\")}function t(){r(l,\".drawArraysInstancedANGLE(\",[d,m,p,c],\");\")}u&&\"null\"!==u?b?e():(r(\"if(\",u,\"){\"),e(),r(\"}else{\"),t(),r(\"}\")):t()}function y(){function e(){r(i+\".drawElements(\"+[d,p,h,m+\"<<((\"+h+\"-5121)>>1)\"]+\");\")}function t(){r(i+\".drawArrays(\"+[d,m,p]+\");\")}u&&\"null\"!==u?b?e():(r(\"if(\",u,\"){\"),e(),r(\"}else{\"),t(),r(\"}\")):t()}g&&(\"number\"!=typeof c||c>=0)?\"string\"==typeof c?(r(\"if(\",c,\">0){\"),v(),r(\"}else if(\",c,\"<0){\"),y(),r(\"}\")):v():y()}function q(e,t,r,n,a){var i=B(),o=i.proc(\"body\",a);return _.optional((function(){i.commandStr=t.commandStr,i.command=i.link(t.commandStr)})),g&&(i.instancing=o.def(i.shared.extensions,\".angle_instanced_arrays\")),e(i,o,r,n),i.compile().body}function Q(e,t,r,n){W(e,t),r.useVAO?r.drawVAO?t(e.shared.vao,\".setVAO(\",r.drawVAO.append(e,t),\");\"):t(e.shared.vao,\".setVAO(\",e.shared.vao,\".targetVAO);\"):(t(e.shared.vao,\".setVAO(null);\"),G(e,t,r,n.attributes,(function(){return!0}))),H(e,t,r,n.uniforms,(function(){return!0}),!1),N(e,t,t,r)}function Y(e,t,r,n){function a(){return!0}e.batchId=\"a1\",W(e,t),G(e,t,r,n.attributes,a),H(e,t,r,n.uniforms,a,!1),N(e,t,t,r)}function $(e,t,r,n){W(e,t);var a=r.contextDep,i=t.def(),o=t.def();e.shared.props=o,e.batchId=i;var f=e.scope(),u=e.scope();function s(e){return e.contextDep&&a||e.propDep}function c(e){return!s(e)}if(t(f.entry,\"for(\",i,\"=0;\",i,\"<\",\"a1\",\";++\",i,\"){\",o,\"=\",\"a0\",\"[\",i,\"];\",u,\"}\",f.exit),r.needsContext&&P(e,u,r.context),r.needsFramebuffer&&L(e,u,r.framebuffer),M(e,u,r.state,s),r.profile&&s(r.profile)&&U(e,u,r,!1,!0),n)r.useVAO?r.drawVAO?s(r.drawVAO)?u(e.shared.vao,\".setVAO(\",r.drawVAO.append(e,u),\");\"):f(e.shared.vao,\".setVAO(\",r.drawVAO.append(e,f),\");\"):f(e.shared.vao,\".setVAO(\",e.shared.vao,\".targetVAO);\"):(f(e.shared.vao,\".setVAO(null);\"),G(e,f,r,n.attributes,c),G(e,u,r,n.attributes,s)),H(e,f,r,n.uniforms,c,!1),H(e,u,r,n.uniforms,s,!0),N(e,f,u,r);else{var l=e.global.def(\"{}\"),d=r.shader.progVar.append(e,u),m=u.def(d,\".id\"),p=u.def(l,\"[\",m,\"]\");u(e.shared.gl,\".useProgram(\",d,\".program);\",\"if(!\",p,\"){\",p,\"=\",l,\"[\",m,\"]=\",e.link((function(t){return q(Y,e,r,t,2)})),\"(\",d,\");}\",p,\".call(this,a0[\",i,\"],\",i,\");\")}}function K(e,t,r){var n=t.static[r];if(n&&function(e){if(\"object\"==typeof e&&!me(e)){for(var t=Object.keys(e),r=0;r0&&r(e.shared.current,\".dirty=true;\"),e.shared.vao&&r(e.shared.vao,\".setVAO(null);\")}(f,u),function(e,t){var n=e.proc(\"scope\",3);e.batchId=\"a2\";var a=e.shared,i=a.current;function o(r){var i=t.shader[r];i&&n.set(a.shader,\".\"+r,i.append(e,n))}P(e,n,t.context),t.framebuffer&&t.framebuffer.append(e,n),tn(Object.keys(t.state)).forEach((function(r){var i=t.state[r].append(e,n);me(i)?i.forEach((function(t,a){n.set(e.next[r],\"[\"+a+\"]\",t)})):n.set(a.next,\".\"+r,i)})),U(e,n,t,!0,!0),[dr,hr,pr,br,mr].forEach((function(r){var i=t.draw[r];i&&n.set(a.draw,\".\"+r,\"\"+i.append(e,n))})),Object.keys(t.uniforms).forEach((function(i){var o=t.uniforms[i].append(e,n);Array.isArray(o)&&(o=\"[\"+o.join()+\"]\"),n.set(a.uniforms,\"[\"+r.id(i)+\"]\",o)})),Object.keys(t.attributes).forEach((function(r){var a=t.attributes[r].append(e,n),i=e.scopeAttrib(r);Object.keys(new b).forEach((function(e){n.set(i,\".\"+e,a[e])}))})),t.scopeVAO&&n.set(a.vao,\".targetVAO\",t.scopeVAO.append(e,n)),o(cr),o(lr),Object.keys(t.state).length>0&&(n(i,\".dirty=true;\"),n.exit(i,\".dirty=true;\")),n(\"a1(\",e.shared.context,\",a0,\",e.batchId,\");\")}(f,u),function(e,t){var r=e.proc(\"batch\",2);e.batchId=\"0\",W(e,r);var n=!1,a=!0;Object.keys(t.context).forEach((function(e){n=n||t.context[e].propDep})),n||(P(e,r,t.context),a=!1);var i=t.framebuffer,o=!1;function f(e){return e.contextDep&&n||e.propDep}i?(i.propDep?n=o=!0:i.contextDep&&n&&(o=!0),o||L(e,r,i)):L(e,r,null),t.state.viewport&&t.state.viewport.propDep&&(n=!0),R(e,r,t),M(e,r,t.state,(function(e){return!f(e)})),t.profile&&f(t.profile)||U(e,r,t,!1,\"a1\"),t.contextDep=n,t.needsContext=a,t.needsFramebuffer=o;var u=t.shader.progVar;if(u.contextDep&&n||u.propDep)$(e,r,t,null);else{var s=u.append(e,r);if(r(e.shared.gl,\".useProgram(\",s,\".program);\"),t.shader.program)$(e,r,t,t.shader.program);else{r(e.shared.vao,\".setVAO(null);\");var c=e.global.def(\"{}\"),l=r.def(s,\".id\"),d=r.def(c,\"[\",l,\"]\");r(e.cond(d).then(d,\".call(this,a0,a1);\").else(d,\"=\",c,\"[\",l,\"]=\",e.link((function(r){return q($,e,t,r,2)})),\"(\",s,\");\",d,\".call(this,a0,a1);\"))}}Object.keys(t.state).length>0&&r(e.shared.current,\".dirty=true;\"),e.shared.vao&&r(e.shared.vao,\".setVAO(null);\")}(f,u),t(f.compile(),{destroy:function(){u.shader.program.destroy()}})}}}var sn=function(e,t){if(!t.ext_disjoint_timer_query)return null;var r=[];function n(e){r.push(e)}var a=[];function i(){this.startQueryIndex=-1,this.endQueryIndex=-1,this.sum=0,this.stats=null}var o=[];function f(e){o.push(e)}var u=[];function s(e,t,r){var n=o.pop()||new i;n.startQueryIndex=e,n.endQueryIndex=t,n.sum=0,n.stats=r,u.push(n)}var c=[],l=[];return{beginQuery:function(e){var n=r.pop()||t.ext_disjoint_timer_query.createQueryEXT();t.ext_disjoint_timer_query.beginQueryEXT(35007,n),a.push(n),s(a.length-1,a.length,e)},endQuery:function(){t.ext_disjoint_timer_query.endQueryEXT(35007)},pushScopeStats:s,update:function(){var e,r,i=a.length;if(0!==i){l.length=Math.max(l.length,i+1),c.length=Math.max(c.length,i+1),c[0]=0,l[0]=0;var o=0;for(e=0,r=0;r0)if(Array.isArray(r[0])){f=J(r);for(var c=1,l=1;l0)if(\"number\"==typeof t[0]){var i=L.allocType(d.dtype,t.length);ne(i,t),p(i,a),L.freeType(i)}else if(Array.isArray(t[0])||e(t[0])){n=J(t);var o=K(t,n,d.dtype);p(o,a),L.freeType(o)}else _.raise(\"invalid buffer data\")}else if(G(t)){n=t.shape;var f=t.stride,u=0,s=0,c=0,l=0;1===n.length?(u=n[0],s=1,c=f[0],l=0):2===n.length?(u=n[0],s=n[1],c=f[0],l=f[1]):_.raise(\"invalid shape\");var h=Array.isArray(t.data)?d.dtype:re(t.data),b=L.allocType(h,u*s);ae(b,t.data,u,s,c,l,t.offset),p(b,a),L.freeType(b)}else _.raise(\"invalid data for buffer subdata\");return m},n.profile&&(m.stats=d.stats),m.destroy=function(){l(d)},m},createStream:function(e,t){var r=u.pop();return r||(r=new f(e)),r.bind(),c(r,t,35040,0,1,!1),r},destroyStream:function(e){u.push(e)},clear:function(){H(o).forEach(l),u.forEach(l)},getBuffer:function(e){return e&&e._buffer instanceof f?e._buffer:null},restore:function(){H(o).forEach((function(e){e.buffer=t.createBuffer(),t.bindBuffer(e.type,e.buffer),t.bufferData(e.type,e.persistentData||e.byteLength,e.usage)}))},_initBuffer:c}}(a,l,n,(function(e){return A.destroyBuffer(e)})),w=function(t,r,n,a){var i={},o=0,f={uint8:oe,uint16:fe};function u(e){this.id=o++,i[this.id]=this,this.buffer=e,this.primType=4,this.vertCount=0,this.type=0}r.oes_element_index_uint&&(f.uint32=ue),u.prototype.bind=function(){this.buffer.bind()};var s=[];function c(a,i,o,f,u,s,c){var l;if(a.buffer.bind(),i){var d=c;c||e(i)&&(!G(i)||e(i.data))||(d=r.oes_element_index_uint?ue:fe),n._initBuffer(a.buffer,i,o,d,3)}else t.bufferData(se,s,o),a.buffer.dtype=l||oe,a.buffer.usage=o,a.buffer.dimension=3,a.buffer.byteLength=s;if(l=c,!c){switch(a.buffer.dtype){case oe:case 5120:l=oe;break;case fe:case 5122:l=fe;break;case ue:case 5124:l=ue;break;default:_.raise(\"unsupported type for element array\")}a.buffer.dtype=l}a.type=l,_(l!==ue||!!r.oes_element_index_uint,\"32 bit element buffers not supported, enable oes_element_index_uint first\");var m=u;m<0&&(m=a.buffer.byteLength,l===fe?m>>=1:l===ue&&(m>>=2)),a.vertCount=m;var p=f;if(f<0){p=4;var h=a.buffer.dimension;1===h&&(p=0),2===h&&(p=1),3===h&&(p=4)}a.primType=p}function l(e){a.elementsCount--,_(null!==e.buffer,\"must not double destroy elements\"),delete i[e.id],e.buffer.destroy(),e.buffer=null}return{create:function(t,r){var i=n.create(null,se,!0),o=new u(i._buffer);function s(t){if(t)if(\"number\"==typeof t)i(t),o.primType=4,o.vertCount=0|t,o.type=oe;else{var r=null,n=35044,a=-1,u=-1,l=0,d=0;Array.isArray(t)||e(t)||G(t)?r=t:(_.type(t,\"object\",\"invalid arguments for elements\"),\"data\"in t&&(r=t.data,_(Array.isArray(r)||e(r)||G(r),\"invalid data for element buffer\")),\"usage\"in t&&(_.parameter(t.usage,$,\"invalid element buffer usage\"),n=$[t.usage]),\"primitive\"in t&&(_.parameter(t.primitive,ie,\"invalid element buffer primitive\"),a=ie[t.primitive]),\"count\"in t&&(_(\"number\"==typeof t.count&&t.count>=0,\"invalid vertex count for elements\"),u=0|t.count),\"type\"in t&&(_.parameter(t.type,f,\"invalid buffer type\"),d=f[t.type]),\"length\"in t?l=0|t.length:(l=u,d===fe||5122===d?l*=2:d!==ue&&5124!==d||(l*=4))),c(o,r,n,a,u,l,d)}else i(),o.primType=4,o.vertCount=0,o.type=oe;return s}return a.elementsCount++,s(t),s._reglType=\"elements\",s._elements=o,s.subdata=function(e,t){return i.subdata(e,t),s},s.destroy=function(){l(o)},s},createStream:function(e){var t=s.pop();return t||(t=new u(n.create(null,se,!0,!1)._buffer)),c(t,e,35040,-1,-1,0,0),t},destroyStream:function(e){s.push(e)},getElements:function(e){return\"function\"==typeof e&&e._elements instanceof u?e._elements:null},clear:function(){H(i).forEach(l)}}}(a,d,x,l),A=function(t,r,n,a,i,o,f){for(var u=n.maxAttributes,s=new Array(u),c=0;c{for(var e=Object.keys(t),r=0;r=0,'invalid option for vao: \"'+e[r]+'\" valid options are '+Et)})),_(Array.isArray(a),\"attributes must be an array\")}_(a.length0,\"must specify at least one attribute\");var c={},l=n.attributes;l.length=a.length;for(var d=0;d=b.byteLength?m.subdata(b):(m.destroy(),n.buffers[d]=null)),n.buffers[d]||(m=n.buffers[d]=i.create(p,34962,!1,!0)),h.buffer=i.getBuffer(m),h.size=0|h.buffer.dimension,h.normalized=!1,h.type=h.buffer.dtype,h.offset=0,h.stride=0,h.divisor=0,h.state=1,c[d]=1):i.getBuffer(p)?(h.buffer=i.getBuffer(p),h.size=0|h.buffer.dimension,h.normalized=!1,h.type=h.buffer.dtype,h.offset=0,h.stride=0,h.divisor=0,h.state=1):i.getBuffer(p.buffer)?(h.buffer=i.getBuffer(p.buffer),h.size=0|(+p.size||h.buffer.dimension),h.normalized=!!p.normalized||!1,\"type\"in p?(_.parameter(p.type,X,\"invalid buffer type\"),h.type=X[p.type]):h.type=h.buffer.dtype,h.offset=0|(p.offset||0),h.stride=0|(p.stride||0),h.divisor=0|(p.divisor||0),h.state=1,_(h.size>=1&&h.size<=4,\"size must be between 1 and 4\"),_(h.offset>=0,\"invalid offset\"),_(h.stride>=0&&h.stride<=255,\"stride must be between 0 and 255\"),_(h.divisor>=0,\"divisor must be positive\"),_(!h.divisor||!!r.angle_instanced_arrays,\"ANGLE_instanced_arrays must be enabled to use divisor\")):\"x\"in p?(_(d>0,\"first attribute must not be a constant\"),h.x=+p.x||0,h.y=+p.y||0,h.z=+p.z||0,h.w=+p.w||0,h.state=2):_(!1,\"invalid attribute spec for location \"+d)}for(var v=0;v1)for(var v=0;v1&&(y=y.replace(\"[0]\",\"\")),u(b,new f(y,r.id(y),e.getUniformLocation(m,y),c))}var x=e.getProgramParameter(m,35721);a.profile&&(t.stats.attributesCount=x);var w=t.attributes;for(o=0;oe&&(e=t.stats.uniformsCount)})),e},n.getMaxAttributesCount=function(){var e=0;return l.forEach((function(t){t.stats.attributesCount>e&&(e=t.stats.attributesCount)})),e}),{clear:function(){var t=e.deleteShader.bind(e);H(i).forEach(t),i={},H(o).forEach(t),o={},l.forEach((function(t){e.deleteProgram(t.program)})),l.length=0,c={},n.shaderCount=0},program:function(r,a,f,u){_.command(r>=0,\"missing vertex shader\",f),_.command(a>=0,\"missing fragment shader\",f);var s=c[a];s||(s=c[a]={});var d=s[r];if(d&&(d.refCount++,!u))return d;var h=new m(a,r);return n.shaderCount++,p(h,f,u),d||(s[r]=h),l.push(h),t(h,{destroy:function(){if(h.refCount--,h.refCount<=0){e.deleteProgram(h.program);var t=l.indexOf(h);l.splice(t,1),n.shaderCount--}s[h.vertId].refCount<=0&&(e.deleteShader(o[h.vertId]),delete o[h.vertId],delete c[h.fragId][h.vertId]),Object.keys(c[h.fragId]).length||(e.deleteShader(i[h.fragId]),delete i[h.fragId],delete c[h.fragId])}})},restore:function(){i={},o={};for(var e=0;e=2,\"invalid renderbuffer shape\"),f=0|m[0],u=0|m[1]}else\"radius\"in d&&(f=u=0|d.radius),\"width\"in d&&(f=0|d.width),\"height\"in d&&(u=0|d.height);\"format\"in d&&(_.parameter(d.format,i,\"invalid renderbuffer format\"),s=i[d.format])}else\"number\"==typeof t?(f=0|t,u=\"number\"==typeof n?0|n:f):t?_.raise(\"invalid arguments to renderbuffer constructor\"):f=u=1;if(_(f>0&&u>0&&f<=r.maxRenderbufferSize&&u<=r.maxRenderbufferSize,\"invalid renderbuffer size\"),f!==c.width||u!==c.height||s!==c.format)return l.width=c.width=f,l.height=c.height=u,c.format=s,e.bindRenderbuffer(mt,c.renderbuffer),e.renderbufferStorage(mt,s,f,u),_(0===e.getError(),\"invalid render buffer format\"),a.profile&&(c.stats.size=bt(c.format,c.width,c.height)),l.format=o[c.format],l}return u[c.id]=c,n.renderbufferCount++,l(t,f),l.resize=function(t,n){var i=0|t,o=0|n||i;return i===c.width&&o===c.height||(_(i>0&&o>0&&i<=r.maxRenderbufferSize&&o<=r.maxRenderbufferSize,\"invalid renderbuffer size\"),l.width=c.width=i,l.height=c.height=o,e.bindRenderbuffer(mt,c.renderbuffer),e.renderbufferStorage(mt,c.format,i,o),_(0===e.getError(),\"invalid render buffer format\"),a.profile&&(c.stats.size=bt(c.format,c.width,c.height))),l},l._reglType=\"renderbuffer\",l._renderbuffer=c,a.profile&&(l.stats=c.stats),l.destroy=function(){c.decRef()},l},clear:function(){H(u).forEach(c)},restore:function(){H(u).forEach((function(t){t.renderbuffer=e.createRenderbuffer(),e.bindRenderbuffer(mt,t.renderbuffer),e.renderbufferStorage(mt,t.format,t.width,t.height)})),e.bindRenderbuffer(mt,null)}}}(a,d,y,l,n),E=function(e,r,n,a,i,o){var f={cur:null,next:null,dirty:!1,setFBO:null},u=[\"rgba\"],s=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];r.ext_srgb&&s.push(\"srgba\"),r.ext_color_buffer_half_float&&s.push(\"rgba16f\",\"rgb16f\"),r.webgl_color_buffer_float&&s.push(\"rgba32f\");var c=[\"uint8\"];function l(e,t,r){this.target=e,this.texture=t,this.renderbuffer=r;var n=0,a=0;t?(n=t.width,a=t.height):r&&(n=r.width,a=r.height),this.width=n,this.height=a}function d(e){e&&(e.texture&&e.texture._texture.decRef(),e.renderbuffer&&e.renderbuffer._renderbuffer.decRef())}function m(e,t,r){if(e)if(e.texture){var n=e.texture._texture,a=Math.max(1,n.width),i=Math.max(1,n.height);_(a===t&&i===r,\"inconsistent width/height for supplied texture\"),n.refCount+=1}else{var o=e.renderbuffer._renderbuffer;_(o.width===t&&o.height===r,\"inconsistent width/height for renderbuffer\"),o.refCount+=1}}function p(t,r){r&&(r.texture?e.framebufferTexture2D(vt,t,r.target,r.texture._texture.texture,0):e.framebufferRenderbuffer(vt,t,gt,r.renderbuffer._renderbuffer.renderbuffer))}function h(e){var t=yt,r=null,n=null,a=e;\"object\"==typeof e&&(a=e.data,\"target\"in e&&(t=0|e.target)),_.type(a,\"function\",\"invalid attachment data\");var i=a._reglType;return\"texture2d\"===i?(r=a,_(t===yt)):\"textureCube\"===i?(r=a,_(t>=xt&&t<34075,\"invalid cube map target\")):\"renderbuffer\"===i?(n=a,t=gt):_.raise(\"invalid regl object for attachment\"),new l(t,r,n)}function b(e,t,r,n,o){if(r){var f=a.create2D({width:e,height:t,format:n,type:o});return f._texture.refCount=0,new l(yt,f,null)}var u=i.create({width:e,height:t,format:n});return u._renderbuffer.refCount=0,new l(gt,null,u)}function v(e){return e&&(e.texture||e.renderbuffer)}function g(e,t,r){e&&(e.texture?e.texture.resize(t,r):e.renderbuffer&&e.renderbuffer.resize(t,r),e.width=t,e.height=r)}r.oes_texture_half_float&&c.push(\"half float\",\"float16\"),r.oes_texture_float&&c.push(\"float\",\"float32\");var y=0,x={};function w(){this.id=y++,x[this.id]=this,this.framebuffer=e.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function A(e){e.colorAttachments.forEach(d),d(e.depthAttachment),d(e.stencilAttachment),d(e.depthStencilAttachment)}function k(t){var r=t.framebuffer;_(r,\"must not double destroy framebuffer\"),e.deleteFramebuffer(r),t.framebuffer=null,o.framebufferCount--,delete x[t.id]}function S(t){var r;e.bindFramebuffer(vt,t.framebuffer);var a=t.colorAttachments;for(r=0;r=2,\"invalid shape for framebuffer\"),o=z[0],d=z[1]}else\"radius\"in C&&(o=d=C.radius),\"width\"in C&&(o=C.width),\"height\"in C&&(d=C.height);(\"color\"in C||\"colors\"in C)&&(y=C.color||C.colors,Array.isArray(y)&&_(1===y.length||r.webgl_draw_buffers,\"multiple render targets not supported\")),y||(\"colorCount\"in C&&(O=0|C.colorCount,_(O>0,\"invalid color buffer count\")),\"colorTexture\"in C&&(x=!!C.colorTexture,w=\"rgba4\"),\"colorType\"in C&&(k=C.colorType,x?(_(r.oes_texture_float||!(\"float\"===k||\"float32\"===k),\"you must enable OES_texture_float in order to use floating point framebuffer objects\"),_(r.oes_texture_half_float||!(\"half float\"===k||\"float16\"===k),\"you must enable OES_texture_half_float in order to use 16-bit floating point framebuffer objects\")):\"half float\"===k||\"float16\"===k?(_(r.ext_color_buffer_half_float,\"you must enable EXT_color_buffer_half_float to use 16-bit render buffers\"),w=\"rgba16f\"):\"float\"!==k&&\"float32\"!==k||(_(r.webgl_color_buffer_float,\"you must enable WEBGL_color_buffer_float in order to use 32-bit floating point renderbuffers\"),w=\"rgba32f\"),_.oneOf(k,c,\"invalid color type\")),\"colorFormat\"in C&&(w=C.colorFormat,u.indexOf(w)>=0?x=!0:s.indexOf(w)>=0?x=!1:_.optional((function(){x?_.oneOf(C.colorFormat,u,\"invalid color format for texture\"):_.oneOf(C.colorFormat,s,\"invalid color format for renderbuffer\")})))),(\"depthTexture\"in C||\"depthStencilTexture\"in C)&&(j=!(!C.depthTexture&&!C.depthStencilTexture),_(!j||r.webgl_depth_texture,\"webgl_depth_texture extension not supported\")),\"depth\"in C&&(\"boolean\"==typeof C.depth?p=C.depth:(E=C.depth,g=!1)),\"stencil\"in C&&(\"boolean\"==typeof C.stencil?g=C.stencil:(T=C.stencil,p=!1)),\"depthStencil\"in C&&(\"boolean\"==typeof C.depthStencil?p=g=C.depthStencil:(D=C.depthStencil,p=!1,g=!1))}else o=d=1;var F=null,B=null,V=null,I=null;if(Array.isArray(y))F=y.map(h);else if(y)F=[h(y)];else for(F=new Array(O),a=0;a=0||F[a].renderbuffer&&kt.indexOf(F[a].renderbuffer._renderbuffer.format)>=0,\"framebuffer color attachment \"+a+\" is invalid\"),F[a]&&F[a].texture){var L=At[F[a].texture._texture.format]*_t[F[a].texture._texture.type];null===P?P=L:_(P===L,\"all color attachments much have the same number of bits per pixel.\")}return m(B,o,d),_(!B||B.texture&&6402===B.texture._texture.format||B.renderbuffer&&33189===B.renderbuffer._renderbuffer.format,\"invalid depth attachment for framebuffer object\"),m(V,o,d),_(!V||V.renderbuffer&&36168===V.renderbuffer._renderbuffer.format,\"invalid stencil attachment for framebuffer object\"),m(I,o,d),_(!I||I.texture&&34041===I.texture._texture.format||I.renderbuffer&&34041===I.renderbuffer._renderbuffer.format,\"invalid depth-stencil attachment for framebuffer object\"),A(i),i.width=o,i.height=d,i.colorAttachments=F,i.depthAttachment=B,i.stencilAttachment=V,i.depthStencilAttachment=I,l.color=F.map(v),l.depth=v(B),l.stencil=v(V),l.depthStencil=v(I),l.width=i.width,l.height=i.height,S(i),l}return o.framebufferCount++,l(e,a),t(l,{resize:function(e,t){_(f.next!==i,\"can not resize a framebuffer which is currently in use\");var r=Math.max(0|e,1),n=Math.max(0|t||r,1);if(r===i.width&&n===i.height)return l;for(var a=i.colorAttachments,o=0;o=2,\"invalid shape for framebuffer\"),_(g[0]===g[1],\"cube framebuffer must be square\"),d=g[0]}else\"radius\"in v&&(d=0|v.radius),\"width\"in v?(d=0|v.width,\"height\"in v&&_(v.height===d,\"must be square\")):\"height\"in v&&(d=0|v.height);(\"color\"in v||\"colors\"in v)&&(m=v.color||v.colors,Array.isArray(m)&&_(1===m.length||r.webgl_draw_buffers,\"multiple render targets not supported\")),m||(\"colorCount\"in v&&(b=0|v.colorCount,_(b>0,\"invalid color buffer count\")),\"colorType\"in v&&(_.oneOf(v.colorType,c,\"invalid color type\"),h=v.colorType),\"colorFormat\"in v&&(p=v.colorFormat,_.oneOf(v.colorFormat,u,\"invalid color format for texture\"))),\"depth\"in v&&(l.depth=v.depth),\"stencil\"in v&&(l.stencil=v.stencil),\"depthStencil\"in v&&(l.depthStencil=v.depthStencil)}else d=1;if(m)if(Array.isArray(m))for(s=[],n=0;n0&&(l.depth=i[0].depth,l.stencil=i[0].stencil,l.depthStencil=i[0].depthStencil),i[n]?i[n](l):i[n]=O(l)}return t(o,{width:d,height:d,color:s})}return o(e),t(o,{faces:i,resize:function(e){var t,r=0|e;if(_(r>0&&r<=n.maxCubeMapSize,\"invalid radius for cube fbo\"),r===o.width)return o;var a=o.color;for(t=0;t=0;--e){var t=I[e];t&&t(v,null,0)}a.flush(),m&&m.update()}function ce(){!Q&&I.length>0&&(Q=j.next(Y))}function le(){Q&&(j.cancel(Y),Q=null)}function de(e){e.preventDefault(),o=!0,le(),P.forEach((function(e){e()}))}function me(e){a.getError(),o=!1,f.restore(),k.restore(),x.restore(),S.restore(),O.restore(),E.restore(),A.restore(),m&&m.restore(),T.procs.refresh(),ce(),N.forEach((function(e){e()}))}function pe(e){function r(e,t){var r={},n={};return Object.keys(e).forEach((function(a){var i=e[a];if(D.isDynamic(i))n[a]=D.unbox(i,a);else{if(t&&Array.isArray(i))for(var o=0;o0)return l.call(this,function(e){for(;m.length=0,\"cannot cancel a frame twice\"),I[t]=function e(){var t=dn(I,e);I[t]=I[I.length-1],I.length-=1,I.length<=0&&le()}}}}function ge(){var e=F.viewport,t=F.scissor_box;e[0]=e[1]=t[0]=t[1]=0,v.viewportWidth=v.framebufferWidth=v.drawingBufferWidth=e[2]=t[2]=a.drawingBufferWidth,v.viewportHeight=v.framebufferHeight=v.drawingBufferHeight=e[3]=t[3]=a.drawingBufferHeight}function ye(){v.tick+=1,v.time=we(),ge(),T.procs.poll()}function xe(){S.refresh(),ge(),T.procs.refresh(),m&&m.update()}function we(){return(C()-p)/1e3}xe();var Ae=t(pe,{clear:function(e){if(_(\"object\"==typeof e&&e,\"regl.clear() takes an object as input\"),\"framebuffer\"in e)if(e.framebuffer&&\"framebufferCube\"===e.framebuffer_reglType)for(var r=0;r<6;++r)he(t({framebuffer:e.framebuffer.faces[r]},e),be);else he(e,be);else be(0,e)},prop:D.define.bind(null,1),context:D.define.bind(null,2),this:D.define.bind(null,3),draw:pe({}),buffer:function(e){return x.create(e,34962,!1,!1)},elements:function(e){return w.create(e,!1)},texture:S.create2D,cube:S.createCube,renderbuffer:O.create,framebuffer:E.create,framebufferCube:E.createCube,vao:A.createVAO,attributes:i,frame:ve,on:function(e,t){var r;switch(_.type(t,\"function\",\"listener callback must be a function\"),e){case\"frame\":return ve(t);case\"lost\":r=P;break;case\"restore\":r=N;break;case\"destroy\":r=q;break;default:_.raise(\"invalid event, must be one of frame,lost,restore,destroy\")}return r.push(t),{cancel:function(){for(var 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,a,s,r){s();const n=t(414),_=t(9),o=t(12);class c{constructor(t){this._regl=t,this._map=new Map}_create_texture(t){const e=t.length;let a=0;const s=[];let r=0,_=0;for(let n=0;nc[f+1]&&f++;const s=t[f],n=c[f]+.5*s;let o=.5*s-Math.abs(a-n);f%2==1&&(o=-o),m[e]=Math.round(255*(o-r)/(_-r))}return[[a,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 a=this._map.get(e);if(null==a){const s=(0,n.gcd)(t);if(s>1){t=(0,o.map)(t,(t=>t/s)),a=this._get_or_create(t);const[r,n,_]=a;a=[r,n,s],this._map.set(e,a)}else{const[r,n]=this._create_texture(t);a=[r,n,s],this._map.set(e,a)}}return a}get(t){return t.length%2==1&&(t=(0,_.concat)([t,t])),this._get_or_create(t)}}a.DashCache=c,c.__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= 0.0 ? 1.0 : -1.0;\\n}\\n\\nvoid main()\\n{\\n if (a_show_curr < 0.5) {\\n // Line segment has non-finite value at one or both ends, do not render.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n const float min_miter_factor_round_join_mesh = sqrt(2.0);\\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 vec2 segment_along = normalize(a_point_end - a_point_start); // unit vector.\\n v_segment_length = length(a_point_end - a_point_start);\\n vec2 segment_right = right_vector(segment_along); // unit vector.\\n vec2 xy;\\n\\n bool miter_too_large_start = false;\\n bool miter_too_large_end = false;\\n\\n v_coords.y = a_position.y*halfwidth; // Overwritten later for end points.\\n\\n bool has_start_cap = a_show_prev < 0.5;\\n bool has_end_cap = a_show_next < 0.5;\\n\\n vec2 point_normal_start;\\n float cos_theta_start;\\n float turn_right_start;\\n if (has_start_cap)\\n point_normal_start = segment_right;\\n else {\\n vec2 prev_right = right_vector(normalize(a_point_start - a_point_prev));\\n point_normal_start = normalize(segment_right + prev_right);\\n cos_theta_start = dot(segment_right, point_normal_start); // Always +ve\\n turn_right_start = sign_no_zero(dot(segment_right, a_point_prev - a_point_start));\\n }\\n\\n vec2 point_normal_end;\\n float cos_theta_end;\\n float turn_right_end;\\n if (has_end_cap)\\n point_normal_end = segment_right;\\n else {\\n vec2 next_right = right_vector(normalize(a_point_next - a_point_end));\\n point_normal_end = normalize(segment_right + next_right);\\n cos_theta_end = dot(segment_right, point_normal_end); // Always +ve\\n turn_right_end = sign_no_zero(dot(segment_right, a_point_next - a_point_end));\\n }\\n\\n float miter_factor_start = 1.0 / dot(segment_right, point_normal_start);\\n float miter_factor_end = 1.0 / dot(segment_right, point_normal_end);\\n if (join_type == miter_join) {\\n // If miter too large, use bevel join instead.\\n miter_too_large_start = (miter_factor_start > 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\\nfloat clip_dash_distance(in float x, in float offset, in float sign_along)\\n{\\n // Return clipped dash distance, sign_along is +1.0 if looking forward\\n // into next segment and -1.0 if looking backward into previous segment.\\n float half_antialias = 0.5*u_antialias;\\n\\n if (sign_along*x > half_antialias) {\\n // Outside antialias region, use usual dash distance.\\n return dash_distance(offset + x);\\n }\\n else {\\n // Inside antialias region.\\n // Dash distance at edge of antialias region clipped to half_antialias.\\n float edge_dist = min(dash_distance(offset + sign_along*half_antialias), half_antialias);\\n\\n // Physical distance from dash distance at edge of antialias region.\\n return edge_dist + sign_along*x - half_antialias;\\n }\\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 float half_antialias = 0.5*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 // Along-segment coords with respect to end of segment, +ve inside segment\\n // so equivalent to v_coords.x at start of segment.\\n float end_coords_x = v_segment_length - v_coords.x;\\n\\n if (v_coords.x <= half_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 (end_coords_x <= half_antialias) {\\n // At end of segment, either cap or join.\\n if (has_end_cap)\\n dist = cap(cap_type, end_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 < half_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 if (dash_distance(0.0) > 0.0) {\\n // Corner is solid color.\\n dist = max(dist, min(half_antialias, -v_coords.x));\\n // Avoid visible antialiasing band between corner and dash.\\n dist = max(dist, dash_distance(half_antialias));\\n }\\n else {\\n // Use large negative value so corner not colored.\\n dist = -halfwidth;\\n\\n if (v_coords.x > -half_antialias) {\\n // Consider antialias region of dash after start region.\\n float edge_dist = min(dash_distance(half_antialias), half_antialias);\\n dist = max(dist, edge_dist + v_coords.x - half_antialias);\\n }\\n }\\n }\\n\\n vec2 prev_coords = rotation_matrix(1.0)*v_coords;\\n\\n if (abs(prev_coords.y) < halfwidth && prev_coords.x < half_antialias) {\\n // Extend dashes across from end of previous segment, with antialiased end.\\n float new_dist = clip_dash_distance(prev_coords.x, 0.0, -1.0);\\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 (end_coords_x < half_antialias) {\\n // Similar for end join.\\n if (dash_distance(v_segment_length) > 0.0) {\\n // Corner is solid color.\\n dist = max(dist, min(half_antialias, -end_coords_x));\\n // Avoid visible antialiasing band between corner and dash.\\n dist = max(dist, dash_distance(v_segment_length - half_antialias));\\n }\\n else {\\n // Use large negative value so corner not colored.\\n dist = -halfwidth;\\n\\n if (end_coords_x > -half_antialias) {\\n // Consider antialias region of dash before end region.\\n float edge_dist = min(dash_distance(v_segment_length - half_antialias),\\n half_antialias);\\n dist = max(dist, edge_dist + end_coords_x - half_antialias);\\n }\\n }\\n }\\n\\n vec2 next_coords = rotation_matrix(-1.0)*(v_coords - vec2(v_segment_length, 0.0));\\n\\n if (abs(next_coords.y) < halfwidth && next_coords.x > -half_antialias) {\\n // Extend dashes across from next segment, with antialiased end.\\n float new_dist = clip_dash_distance(next_coords.x, v_segment_length, 1.0);\\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,e,t,a){t();e.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_cap;\\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;\\nuniform float u_size_hint;\\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_cap;\\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_cap = a_line_cap;\\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;\\n // Need extra size of (v_linewidth+u_antialias) if edge of marker parallel to\\n // edge of bounding box. If symmetric spike towards edge then multiply by\\n // 1/cos(theta) where theta is angle between spike and bbox edges.\\n int size_hint = int(u_size_hint + 0.5);\\n if (size_hint == 1) // Dash\\n enclosing_size = vec2(v_size.x + v_linewidth + u_antialias,\\n v_linewidth + u_antialias);\\n else if (size_hint == 2) // Dot\\n enclosing_size = 0.25*v_size + u_antialias;\\n else if (size_hint == 3) // Diamond\\n enclosing_size = vec2(v_size.x*(2.0/3.0) + (v_linewidth + u_antialias)*1.20185,\\n v_size.y + (v_linewidth + u_antialias)*1.80278);\\n else if (size_hint == 4) // Hex\\n enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(2.0/sqrt(3.0), 1.0);\\n else if (size_hint == 5) // Square pin\\n enclosing_size = v_size + (v_linewidth + u_antialias)*3.1;\\n else if (size_hint == 6) // Triangle\\n enclosing_size = vec2(v_size.x + (v_linewidth + u_antialias)*sqrt(3.0),\\n v_size.y*(2.0/sqrt(3.0)) + (v_linewidth + u_antialias)*2.0);\\n else if (size_hint == 7) // Triangle pin\\n enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(4.8, 6.0);\\n else if (size_hint == 8) // Star\\n enclosing_size = vec2(v_size.x*0.95106 + (v_linewidth + u_antialias)*3.0,\\n v_size.y + (v_linewidth + u_antialias)*3.2);\\n else\\n 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 418: function _(n,i,e,t,a){t();e.default=\"\\nprecision mediump float;\\n\\nconst float SQRT2 = sqrt(2.0);\\nconst float SQRT3 = sqrt(3.0);\\nconst float PI = 3.14159265358979323846;\\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\\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_cap;\\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// Lines within the marker (dot, cross, x and y) are added at the end as they are\\n// on top of the fill rather than astride it.\\n#if defined(USE_CIRCLE_DOT) || defined(USE_DIAMOND_DOT) || defined(USE_DOT) || defined(USE_HEX_DOT) || defined(USE_SQUARE_DOT) || defined(USE_STAR_DOT) || defined(USE_TRIANGLE_DOT)\\n #define APPEND_DOT\\n#endif\\n\\n#if defined(USE_CIRCLE_CROSS) || defined(USE_SQUARE_CROSS)\\n #define APPEND_CROSS\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n #define APPEND_CROSS_2\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n #define APPEND_X\\n #define APPEND_X_LEN (0.5*v_size.x)\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n #define APPEND_X\\n #define APPEND_X_LEN (v_size.x/SQRT2)\\n#endif\\n\\n#ifdef USE_CIRCLE_Y\\n #define APPEND_Y\\n#endif\\n\\n#if defined(USE_ASTERISK) || defined(USE_CROSS) || defined(USE_DASH) || defined(USE_DOT) || defined(USE_X) || defined(USE_Y)\\n // No fill.\\n #define LINE_ONLY\\n#endif\\n\\n#if defined(LINE_ONLY) || defined(APPEND_CROSS) || defined(APPEND_CROSS_2) || defined(APPEND_X) || defined(APPEND_Y)\\nfloat end_cap_distance(in vec2 p, in vec2 end_point, in vec2 unit_direction, in int line_cap)\\n{\\n vec2 offset = p - end_point;\\n if (line_cap == butt_cap)\\n return dot(offset, unit_direction) + 0.5*v_linewidth;\\n else if (line_cap == square_cap)\\n return dot(offset, unit_direction);\\n else if (line_cap == round_cap && dot(offset, unit_direction) > 0.0)\\n return length(offset);\\n else\\n // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n // so here avoid the multiplication.\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if !(defined(LINE_ONLY) || defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN))\\n// For line join at a vec2 corner where 2 line segments meet, consider bevel points which are the 2\\n// points obtained by moving half a linewidth away from the corner point in the directions normal to\\n// the line segments. The line through these points is the bevel line, characterised by a vec2\\n// unit_normal and offset distance from the corner point. Edge of bevel join straddles this line,\\n// round join occurs outside of this line centred on the corner point. In general\\n// offset = (linewidth/2)*sin(alpha/2)\\n// where alpha is the angle between the 2 line segments at the corner.\\nfloat line_join_distance_no_miter(\\n in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join)\\n{\\n // Simplified version of line_join_distance ignoring miter which most markers do implicitly\\n // as they are composed of straight line segments.\\n float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n return dist_outside + 0.5*v_linewidth;\\n else if (dist_outside > 0.0) // round_join\\n return distance(p, corner);\\n else\\n // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n // so here avoid the multiplication.\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN)\\n// Line join distance including miter but only one-sided check as assuming use of symmetry in\\n// calling function.\\nfloat line_join_distance_incl_miter(\\n in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join,\\n vec2 miter_unit_normal)\\n{\\n float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n if (line_join == miter_join && dist_outside > 0.0)\\n return dot((p - corner), miter_unit_normal);\\n else if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n return dist_outside + 0.5*v_linewidth;\\n else if (dist_outside > 0.0) // round_join\\n return distance(p, corner);\\n else\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(APPEND_CROSS) || defined(APPEND_X) || defined(USE_ASTERISK) || defined(USE_CROSS) || defined(USE_X)\\nfloat one_cross(in vec2 p, in int line_cap, in float len)\\n{\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#ifdef APPEND_CROSS_2\\nfloat one_cross_2(in vec2 p, in int line_cap, in vec2 lengths)\\n{\\n // Cross with different length in x and y directions.\\n p = abs(p);\\n bool switch_xy = (p.y > p.x);\\n p = switch_xy ? p.yx : p.xy;\\n float len = switch_xy ? lengths.y : lengths.x;\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(APPEND_Y) || defined(USE_Y)\\nfloat one_y(in vec2 p, in int line_cap, in float len)\\n{\\n p = vec2(abs(p.x), -p.y);\\n\\n // End point of line to right is (1/2, 1/3)*len*SQRT3.\\n // Unit vector along line is (1/2, 1/3)*k where k = 6/SQRT13.\\n const float k = 6.0/sqrt(13.0);\\n vec2 unit_along = vec2(0.5*k, k/3.0);\\n vec2 end_point = vec2(0.5*len*SQRT3, len*SQRT3/3.0);\\n float dist = max(abs(dot(p, vec2(-unit_along.y, unit_along.x))),\\n end_cap_distance(p, end_point, unit_along, line_cap));\\n\\n if (p.y < 0.0) {\\n // Vertical line.\\n float vert_dist = max(p.x,\\n end_cap_distance(p, vec2(0.0, -len), vec2(0.0, -1.0), line_cap));\\n dist = min(dist, vert_dist);\\n }\\n return dist;\\n}\\n#endif\\n\\n// One marker_distance function per marker type.\\n// Distance is zero on edge of marker, +ve outside and -ve inside.\\n\\n#ifdef USE_ASTERISK\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n vec2 p_diag = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n float len = 0.5*v_size.x;\\n return min(one_cross(p, line_cap, len), // cross\\n one_cross(p_diag, line_cap, len)); // x\\n}\\n#endif\\n\\n#if defined(USE_CIRCLE) || defined(USE_CIRCLE_CROSS) || defined(USE_CIRCLE_DOT) || defined(USE_CIRCLE_X) || defined(USE_CIRCLE_Y)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return length(p) - 0.5*v_size.x;\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_DASH\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n p = abs(p);\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(0.5*v_size.x, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(USE_DIAMOND) || defined(USE_DIAMOND_CROSS) || defined(USE_DIAMOND_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // Only need to consider +ve quadrant, the 2 end points are (2r/3, 0) and (0, r)\\n // where r = radius = v_size.x/2.\\n // Line has outward-facing unit normal vec2(1, 2/3)/k where k = SQRT13/3\\n // hence vec2(3, 2)/SQRT13, and distance from origin of 2r/(3k) = 2r/SQRT13.\\n p = abs(p);\\n float r = 0.5*v_size.x;\\n const float SQRT13 = sqrt(13.0);\\n float dist = dot(p, vec2(3.0, 2.0))/SQRT13 - 2.0*r/SQRT13;\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, r), vec2(0.0, 1.0), v_linewidth/SQRT13, line_join));\\n\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r*2.0/3.0, 0.0), vec2(1.0, 0.0), v_linewidth*(1.5/SQRT13), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_DOT\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Dot is always appended.\\n return v_linewidth+u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_HEX) || defined(USE_HEX_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // A regular hexagon has v_size.x == v.size_y = r where r is the length of\\n // each of the 3 sides of the 6 equilateral triangles that comprise the hex.\\n // Only consider +ve quadrant, the 3 corners are at (0, h), (rx/2, h), (rx, 0)\\n // where rx = 0.5*v_size.x, ry = 0.5*v_size.y and h = ry*SQRT3/2.\\n // Sloping line has outward normal vec2(h, rx/2). Length of this is\\n // len = sqrt(h**2 + rx**2/4) to give unit normal (h, rx/2)/len and distance\\n // from origin of this line is rx*h/len.\\n p = abs(p);\\n float rx = v_size.x/2.0;\\n float h = v_size.y*(SQRT3/4.0);\\n float len_normal = sqrt(h*h + 0.25*rx*rx);\\n vec2 unit_normal = vec2(h, 0.5*rx) / len_normal;\\n float dist = max(dot(p, unit_normal) - rx*h/len_normal, // Distance from sloping line.\\n p.y - h); // Distance from horizontal line.\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(rx, 0.0), vec2(1.0, 0.0), 0.5*v_linewidth*unit_normal.x, line_join));\\n\\n unit_normal = normalize(unit_normal + vec2(0.0, 1.0)); // At (rx/2, h) corner.\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.5*rx, h), unit_normal, 0.5*v_linewidth*unit_normal.y, line_join));\\n }\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_PLUS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // Only need to consider one octant, the +ve quadrant with x >= y.\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n\\n // 3 corners are (r, 0), (r, 3r/8) and (3r/8, 3r/8).\\n float r = 0.5*v_size.x;\\n p = p - vec2(r, 0.375*r); // Distance with respect to outside corner\\n float dist = max(p.x, p.y);\\n\\n if (line_join != miter_join) {\\n // Outside corner\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n // Inside corner\\n dist = min(dist, -line_join_distance_no_miter(\\n p, vec2(-5.0*r/8.0, 0.0), vec2(-1.0/SQRT2, -1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE) || defined(USE_SQUARE_CROSS) || defined(USE_SQUARE_DOT) || defined(USE_SQUARE_X)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n vec2 p2 = abs(p) - v_size/2.0; // Offset from corner\\n float dist = max(p2.x, p2.y);\\n\\n if (line_join != miter_join)\\n dist = max(dist, line_join_distance_no_miter(\\n p2, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n // p is in octant between y=0 and y=x.\\n // Quadratic bezier curve passes through (r, r), (11r/16, 0) and (r, -r).\\n // Circular arc that passes through the same points has center at\\n // x = r + 231r/160 = 2.44275r and y = 0 and hence radius is\\n // x - 11r/16 = 1.75626 precisely.\\n float r = 0.5*v_size.x;\\n float center_x = r*2.44375;\\n float radius = r*1.75626;\\n float dist = radius - distance(p, vec2(center_x, 0.0));\\n\\n // Magic number is 0.5*sin(atan(8/5) - pi/4)\\n dist = max(dist, line_join_distance_incl_miter(\\n p, vec2(r, r), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth*0.1124297533493792, line_join,\\n vec2(8.0/sqrt(89.0), -5.0/sqrt(89.0))));\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_STAR) || defined(USE_STAR_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n const float SQRT5 = sqrt(5.0);\\n const float COS72 = 0.25*(SQRT5 - 1.0);\\n const float SIN72 = sqrt((5.0+SQRT5) / 8.0);\\n\\n float angle = atan(p.x, p.y); // In range -pi to +pi clockwise from +y direction.\\n angle = mod(angle, 0.4*PI) - 0.2*PI; // In range -pi/5 to +pi/5 clockwise from +y direction.\\n p = length(p)*vec2(cos(angle), abs(sin(angle))); // (x,y) in pi/10 (36 degree) sector.\\n\\n // 2 corners are at (r, 0) and (r-a*SIN72, a*COS72) where a = r sqrt(5-2*sqrt(5)).\\n // Line has outward-facing unit normal vec2(COS72, SIN72) and distance from\\n // origin of dot(vec2(r, 0), vec2(COS72, SIN72)) = r*COS72\\n float r = 0.5*v_size.x;\\n float a = r*sqrt(5.0 - 2.0*SQRT5);\\n float dist = dot(p, vec2(COS72, SIN72)) - r*COS72;\\n\\n if (line_join != miter_join) {\\n // Outside corner\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r, 0.0), vec2(1.0, 0.0), v_linewidth*(0.5*COS72), line_join));\\n\\n // Inside corner\\n const float COS36 = sqrt(0.5 + COS72/2.0);\\n const float SIN36 = sqrt(0.5 - COS72/2.0);\\n dist = min(dist, -line_join_distance_no_miter(\\n p, vec2(r-a*SIN72, a*COS72), vec2(-COS36, -SIN36), v_linewidth*(0.5*COS36), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_TRIANGLE) || defined(USE_TRIANGLE_DOT) || defined(USE_INVERTED_TRIANGLE)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // For normal triangle 3 corners are at (-r, a), (r, a), (0, a-h)=(0, -2h/3)\\n // given r = radius = v_size.x/2, h = SQRT3*r, a = h/3.\\n // Sloping line has outward-facing unit normal vec2(h, -r)/2r = vec2(SQRT3, -1)/2\\n // and distance from origin of a. Horizontal line has outward-facing unit normal\\n // vec2(0, 1) and distance from origin of a.\\n float r = 0.5*v_size.x;\\n float a = r*SQRT3/3.0;\\n\\n // Only need to consider +ve x.\\n#ifdef USE_INVERTED_TRIANGLE\\n p = vec2(abs(p.x), -p.y);\\n#else\\n p = vec2(abs(p.x), p.y);\\n#endif\\n\\n float dist = max(0.5*dot(p, vec2(SQRT3, -1.0)) - a, // Distance from sloping line.\\n p.y - a); // Distance from horizontal line.\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, -(2.0/SQRT3)*r), vec2(0.0, -1.0), v_linewidth*0.25, line_join));\\n\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r, a), vec2(SQRT3/2.0, 0.5), v_linewidth*0.25, line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n float angle = atan(p.x, -p.y); // In range -pi to +pi.\\n angle = mod(angle, PI*2.0/3.0) - PI/3.0; // In range -pi/3 to pi/3.\\n p = length(p)*vec2(cos(angle), abs(sin(angle))); // (x,y) in range 0 to pi/3.\\n // Quadratic bezier curve passes through (a, r), ((a+b)/2, 0) and (a, -r) where\\n // a = r/SQRT3, b = 3a/8 = r SQRT3/8. Circular arc that passes through the same points has\\n // center at (a+x, 0) and radius x+c where c = (a-b)/2 and x = (r**2 - c**2) / (2c).\\n // Ignore r factor until the end so can use const.\\n const float a = 1.0/SQRT3;\\n const float b = SQRT3/8.0;\\n const float c = (a-b)/2.0;\\n const float x = (1.0 - c*c) / (2.0*c);\\n const float center_x = x + a;\\n const float radius = x + c;\\n float r = 0.5*v_size.x;\\n float dist = r*radius - distance(p, vec2(r*center_x, 0.0));\\n\\n // Magic number is 0.5*sin(atan(8*sqrt(3)/5) - pi/3)\\n dist = max(dist, line_join_distance_incl_miter(\\n p, vec2(a*r, r), vec2(0.5, 0.5*SQRT3), v_linewidth*0.0881844526878324, line_join,\\n vec2(8.0*SQRT3, -5.0)/sqrt(217.0)));\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_X\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n p = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_Y\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return one_y(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n// Convert distance from edge of marker to fraction in range 0 to 1, depending\\n// on antialiasing width.\\nfloat distance_to_fraction(in 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(in 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(in 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(in vec4 color, in 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(in vec4 src, in vec4 dest)\\n{\\n return (1.0 - src.a)*dest + src;\\n}\\n\\n#ifdef APPEND_DOT\\nfloat dot_fraction(in vec2 p)\\n{\\n // Assuming v_size.x == v_size.y\\n float radius = 0.125*v_size.x;\\n float dot_distance = max(length(p) - radius, -0.5*u_antialias);\\n return fill_fraction(dot_distance);\\n}\\n#endif\\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(in float x)\\n{\\n return fract(x) - 0.5;\\n}\\n\\nvec2 wrap(in 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(in vec2 coords, in 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_cap = int(v_line_cap + 0.5);\\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_cap, line_join);\\n\\n#ifdef LINE_ONLY\\n vec4 color = vec4(0.0, 0.0, 0.0, 0.0);\\n#else\\n float fill_frac = fill_fraction(dist);\\n vec4 color = fractional_color(v_fill_color, fill_frac);\\n#endif\\n\\n#if defined(HATCH) && !defined(LINE_ONLY)\\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\\n#ifdef APPEND_DOT\\n line_frac = max(line_frac, dot_fraction(v_coords));\\n#endif\\n#ifdef APPEND_CROSS\\n line_frac = max(line_frac, line_fraction(one_cross(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n#ifdef APPEND_CROSS_2\\n vec2 lengths = vec2(v_size.x/3.0, v_size.x/2.0);\\n line_frac = max(line_frac, line_fraction(one_cross_2(v_coords, line_cap, lengths)));\\n#endif\\n#ifdef APPEND_X\\n vec2 p = vec2((v_coords.x + v_coords.y)/SQRT2, (v_coords.x - v_coords.y)/SQRT2);\\n line_frac = max(line_frac, line_fraction(one_cross(p, line_cap, APPEND_X_LEN)));\\n#endif\\n#ifdef APPEND_Y\\n line_frac = max(line_frac, line_fraction(one_y(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n\\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 419: function _(t,_,i,h,e){h();const s=t(420),a=t(421),r=t(422);class l extends s.BaseGLGlyph{constructor(t,_){super(t,_),this.glyph=_,this._antialias=1.5,this._show_all=!1}_draw_one_marker_type(t,_,i){const h={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[_.width,_.height],pixel_ratio:_.pixel_ratio,center:i._centers,width:i._widths,height:i._heights,angle:i._angles,size_hint:(0,r.marker_type_to_size_hint)(t),nmarkers:i.nvertices,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,line_cap:this._line_caps,line_join:this._line_joins,show:this._show};if(this._have_hatch){const _=Object.assign(Object.assign({},h),{hatch_pattern:this._hatch_patterns,hatch_scale:this._hatch_scales,hatch_weight:this._hatch_weights,hatch_color:this._hatch_rgba});this.regl_wrapper.marker_hatch(t)(_)}else this.regl_wrapper.marker_no_hatch(t)(h)}_set_visuals(){const t=this._get_visuals(),_=t.fill,i=t.line;if(null==this._linewidths&&(this._linewidths=new a.Float32Buffer(this.regl_wrapper),this._line_caps=new a.Uint8Buffer(this.regl_wrapper),this._line_joins=new a.Uint8Buffer(this.regl_wrapper),this._line_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper),this._fill_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._linewidths.set_from_prop(i.line_width),this._line_caps.set_from_line_cap(i.line_cap),this._line_joins.set_from_line_join(i.line_join),this._line_rgba.set_from_color(i.line_color,i.line_alpha),this._fill_rgba.set_from_color(_.fill_color,_.fill_alpha),this._have_hatch=t.hatch.doit,this._have_hatch){const _=t.hatch;null==this._hatch_patterns&&(this._hatch_patterns=new a.Uint8Buffer(this.regl_wrapper),this._hatch_scales=new a.Float32Buffer(this.regl_wrapper),this._hatch_weights=new a.Float32Buffer(this.regl_wrapper),this._hatch_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._hatch_patterns.set_from_hatch_pattern(_.hatch_pattern),this._hatch_scales.set_from_prop(_.hatch_scale),this._hatch_weights.set_from_prop(_.hatch_weight),this._hatch_rgba.set_from_color(_.hatch_color,_.hatch_alpha)}}}i.BaseMarkerGL=l,l.__name__=\"BaseMarkerGL\",l.missing_point=-1e4},\n 420: 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 421: function _(r,t,a,e,s){e();const i=r(422),_=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 null!=this.array?this.array.length:0}set_from_array(r){const t=r.length,a=this.get_sized_array(t);for(let e=0;e0}_set_data(){const s=this.glyph.sx.length,i=s-1;this._is_closed=s>2&&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 t=this._points.get_sized_array(2*(s+2));for(let i=1;is/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),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=r,r.__name__=\"LineGL\"},\n 427: function _(s,t,i,e,r){e();const h=s(421),a=s(424);class n extends a.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,i){this._draw_impl(s,i,t.glglyph,\"square\")}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new h.Float32Buffer(this.regl_wrapper),this._widths=new h.Float32Buffer(this.regl_wrapper),this._heights=new h.Float32Buffer(this.regl_wrapper),this._angles=new h.Float32Buffer(this.regl_wrapper),this._angles.set_from_scalar(0));const t=this._centers.get_sized_array(2*s),i=this._heights.get_sized_array(s),e=this._widths.get_sized_array(s);for(let r=0;r1||s.length<_){this._show_all=!1,n.fill(0),r=0;for(const e of s)1!=h&&i._marker_types.get(e)!=t||(n[e]=255,r++)}else this._show_all&&a==_||(this._show_all=!0,n.fill(255));this._show.update(),0!=r&&this._draw_one_marker_type(t,e,i)}}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new r.Float32Buffer(this.regl_wrapper),this._widths=new r.Float32Buffer(this.regl_wrapper),this._heights=this._widths,this._angles=new r.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s);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 442: function _(t,e,o,s,n){s();const i=t(512),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 512: 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 444: 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 445: function _(e,t,n,s,i){s();const h=e(1);var o;const _=e(446),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 446: function _(t,e,n,p,_){p();const u=t(1);var i;const s=t(447),r=t(43),x=(0,u.__importStar)(t(449));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 447: function _(e,t,n,i,l){var s;i();const h=e(448);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 448: function _(e,t,n,s,l){s();const i=e(1);var o;const r=e(442),_=e(43),p=(0,i.__importStar)(e(449)),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 449: 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 450: function _(t,e,n,o,c){var s;o();const u=t(441),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 451: function _(t,e,o,c,a){c();const s=t(1);var n;const i=t(452),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 452: function _(t,e,n,s,i){s();const o=t(1);var r;const a=t(453),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 453: function _(n,t,e,o,r){var i;o();const a=n(442),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 454: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(455),l=e(43),d=e(9),p=(0,o.__importStar)(e(449));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 455: function _(n,t,e,s,o){s();const r=n(1),u=n(442),c=(0,r.__importDefault)(n(449));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 456: function _(e,t,i,n,o){n();const s=e(1);var l;const r=e(448),c=e(43),a=e(22),d=(0,s.__importStar)(e(449));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 457: function _(e,t,i,n,s){n();const a=e(1);var l;const o=(0,a.__importDefault)(e(458)),d=e(448),r=e(43),c=e(20),u=e(8),h=(0,a.__importStar)(e(449)),_=(0,a.__importDefault)(e(459));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 458: 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. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n PERFORMANCE OF THIS SOFTWARE.\n ***************************************************************************** */var e=function(){return e=Object.assign||function(e){for(var n,t=1,a=arguments.length;t\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 0,prevArrow:\"\",shorthandCurrentMonth:!1,showMonths:1,static:!1,time_24hr:!1,weekNumbers:!1,wrap:!1},i={weekdays:{shorthand:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],longhand:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"]},months:{shorthand:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],longhand:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"]},daysInMonth:[31,28,31,30,31,30,31,31,30,31,30,31],firstDayOfWeek:0,ordinal:function(e){var n=e%100;if(n>3&&n<21)return\"th\";switch(n%10){case 1:return\"st\";case 2:return\"nd\";case 3:return\"rd\";default:return\"th\"}},rangeSeparator:\" to \",weekAbbreviation:\"Wk\",scrollTitle:\"Scroll to increment\",toggleTitle:\"Click to toggle\",amPM:[\"AM\",\"PM\"],yearAriaLabel:\"Year\",monthAriaLabel:\"Month\",hourAriaLabel:\"Hour\",minuteAriaLabel:\"Minute\",time_24hr:!1},o=function(e,n){return void 0===n&&(n=2),(\"000\"+e).slice(-1*n)},r=function(e){return!0===e?1:0};function l(e,n,t){var a;return void 0===t&&(t=!1),function(){var i=this,o=arguments;null!==a&&clearTimeout(a),a=window.setTimeout((function(){a=null,t||e.apply(i,o)}),n),t&&!a&&e.apply(i,o)}}var c=function(e){return e instanceof Array?e:[e]};function d(e,n,t){if(!0===t)return e.classList.add(n);e.classList.remove(n)}function s(e,n,t){var a=window.document.createElement(e);return n=n||\"\",t=t||\"\",a.className=n,void 0!==t&&(a.textContent=t),a}function u(e){for(;e.firstChild;)e.removeChild(e.firstChild)}function f(e,n){return n(e)?e:e.parentNode?f(e.parentNode,n):void 0}function m(e,n){var t=s(\"div\",\"numInputWrapper\"),a=s(\"input\",\"numInput \"+e),i=s(\"span\",\"arrowUp\"),o=s(\"span\",\"arrowDown\");if(-1===navigator.userAgent.indexOf(\"MSIE 9.0\")?a.type=\"number\":(a.type=\"text\",a.pattern=\"\\\\d*\"),void 0!==n)for(var r in n)a.setAttribute(r,n[r]);return t.appendChild(a),t.appendChild(i),t.appendChild(o),t}function g(e){try{return\"function\"==typeof e.composedPath?e.composedPath()[0]:e.target}catch(n){return e.target}}var p=function(){},h=function(e,n,t){return t.months[n?\"shorthand\":\"longhand\"][e]},v={D:p,F:function(e,n,t){e.setMonth(t.months.longhand.indexOf(n))},G:function(e,n){e.setHours(parseFloat(n))},H:function(e,n){e.setHours(parseFloat(n))},J:function(e,n){e.setDate(parseFloat(n))},K:function(e,n,t){e.setHours(e.getHours()%12+12*r(new RegExp(t.amPM[1],\"i\").test(n)))},M:function(e,n,t){e.setMonth(t.months.shorthand.indexOf(n))},S:function(e,n){e.setSeconds(parseFloat(n))},U:function(e,n){return new Date(1e3*parseFloat(n))},W:function(e,n,t){var a=parseInt(n),i=new Date(e.getFullYear(),0,2+7*(a-1),0,0,0,0);return i.setDate(i.getDate()-i.getDay()+t.firstDayOfWeek),i},Y:function(e,n){e.setFullYear(parseFloat(n))},Z:function(e,n){return new Date(n)},d:function(e,n){e.setDate(parseFloat(n))},h:function(e,n){e.setHours(parseFloat(n))},i:function(e,n){e.setMinutes(parseFloat(n))},j:function(e,n){e.setDate(parseFloat(n))},l:p,m:function(e,n){e.setMonth(parseFloat(n)-1)},n:function(e,n){e.setMonth(parseFloat(n)-1)},s:function(e,n){e.setSeconds(parseFloat(n))},u:function(e,n){return new Date(parseFloat(n))},w:p,y:function(e,n){e.setFullYear(2e3+parseFloat(n))}},D={D:\"(\\\\w+)\",F:\"(\\\\w+)\",G:\"(\\\\d\\\\d|\\\\d)\",H:\"(\\\\d\\\\d|\\\\d)\",J:\"(\\\\d\\\\d|\\\\d)\\\\w+\",K:\"\",M:\"(\\\\w+)\",S:\"(\\\\d\\\\d|\\\\d)\",U:\"(.+)\",W:\"(\\\\d\\\\d|\\\\d)\",Y:\"(\\\\d{4})\",Z:\"(.+)\",d:\"(\\\\d\\\\d|\\\\d)\",h:\"(\\\\d\\\\d|\\\\d)\",i:\"(\\\\d\\\\d|\\\\d)\",j:\"(\\\\d\\\\d|\\\\d)\",l:\"(\\\\w+)\",m:\"(\\\\d\\\\d|\\\\d)\",n:\"(\\\\d\\\\d|\\\\d)\",s:\"(\\\\d\\\\d|\\\\d)\",u:\"(.+)\",w:\"(\\\\d\\\\d|\\\\d)\",y:\"(\\\\d{2})\"},w={Z:function(e){return e.toISOString()},D:function(e,n,t){return n.weekdays.shorthand[w.w(e,n,t)]},F:function(e,n,t){return h(w.n(e,n,t)-1,!1,n)},G:function(e,n,t){return o(w.h(e,n,t))},H:function(e){return o(e.getHours())},J:function(e,n){return void 0!==n.ordinal?e.getDate()+n.ordinal(e.getDate()):e.getDate()},K:function(e,n){return n.amPM[r(e.getHours()>11)]},M:function(e,n){return h(e.getMonth(),!0,n)},S:function(e){return o(e.getSeconds())},U:function(e){return e.getTime()/1e3},W:function(e,n,t){return t.getWeek(e)},Y:function(e){return o(e.getFullYear(),4)},d:function(e){return o(e.getDate())},h:function(e){return e.getHours()%12?e.getHours()%12:12},i:function(e){return o(e.getMinutes())},j:function(e){return e.getDate()},l:function(e,n){return n.weekdays.longhand[e.getDay()]},m:function(e){return o(e.getMonth()+1)},n:function(e){return e.getMonth()+1},s:function(e){return e.getSeconds()},u:function(e){return e.getTime()},w:function(e){return e.getDay()},y:function(e){return String(e.getFullYear()).substring(2)}},b=function(e){var n=e.config,t=void 0===n?a:n,o=e.l10n,r=void 0===o?i:o,l=e.isMobile,c=void 0!==l&&l;return function(e,n,a){var i=a||r;return void 0===t.formatDate||c?n.split(\"\").map((function(n,a,o){return w[n]&&\"\\\\\"!==o[a-1]?w[n](e,i,t):\"\\\\\"!==n?n:\"\"})).join(\"\"):t.formatDate(e,n,i)}},C=function(e){var n=e.config,t=void 0===n?a:n,o=e.l10n,r=void 0===o?i:o;return function(e,n,i,o){if(0===e||e){var l,c=o||r,d=e;if(e instanceof Date)l=new Date(e.getTime());else if(\"string\"!=typeof e&&void 0!==e.toFixed)l=new Date(e);else if(\"string\"==typeof e){var s=n||(t||a).dateFormat,u=String(e).trim();if(\"today\"===u)l=new Date,i=!0;else if(/Z$/.test(u)||/GMT$/.test(u))l=new Date(e);else if(t&&t.parseDate)l=t.parseDate(e,s);else{l=t&&t.noCalendar?new Date((new Date).setHours(0,0,0,0)):new Date((new Date).getFullYear(),0,1,0,0,0,0);for(var f=void 0,m=[],g=0,p=0,h=\"\";gl&&(u=a===w.hourElement?u-l-r(!w.amPM):i,m&&H(void 0,1,w.hourElement)),w.amPM&&f&&(1===c?u+d===23:Math.abs(u-d)>c)&&(w.amPM.textContent=w.l10n.amPM[r(w.amPM.textContent===w.l10n.amPM[0])]),a.value=o(u)}}(e);var c=w._input.value;I(),be(),w._input.value!==c&&w._debouncedChange()}function I(){if(void 0!==w.hourElement&&void 0!==w.minuteElement){var e,n,t=(parseInt(w.hourElement.value.slice(-2),10)||0)%24,a=(parseInt(w.minuteElement.value,10)||0)%60,i=void 0!==w.secondElement?(parseInt(w.secondElement.value,10)||0)%60:0;void 0!==w.amPM&&(e=t,n=w.amPM.textContent,t=e%12+12*r(n===w.l10n.amPM[1]));var o=void 0!==w.config.minTime||w.config.minDate&&w.minDateHasTime&&w.latestSelectedDateObj&&0===M(w.latestSelectedDateObj,w.config.minDate,!0);if(void 0!==w.config.maxTime||w.config.maxDate&&w.maxDateHasTime&&w.latestSelectedDateObj&&0===M(w.latestSelectedDateObj,w.config.maxDate,!0)){var l=void 0!==w.config.maxTime?w.config.maxTime:w.config.maxDate;(t=Math.min(t,l.getHours()))===l.getHours()&&(a=Math.min(a,l.getMinutes())),a===l.getMinutes()&&(i=Math.min(i,l.getSeconds()))}if(o){var c=void 0!==w.config.minTime?w.config.minTime:w.config.minDate;(t=Math.max(t,c.getHours()))===c.getHours()&&(a=Math.max(a,c.getMinutes())),a===c.getMinutes()&&(i=Math.max(i,c.getSeconds()))}O(t,a,i)}}function S(e){var n=e||w.latestSelectedDateObj;n&&O(n.getHours(),n.getMinutes(),n.getSeconds())}function _(){var e=w.config.defaultHour,n=w.config.defaultMinute,t=w.config.defaultSeconds;if(void 0!==w.config.minDate){var a=w.config.minDate.getHours(),i=w.config.minDate.getMinutes();(e=Math.max(e,a))===a&&(n=Math.max(i,n)),e===a&&n===i&&(t=w.config.minDate.getSeconds())}if(void 0!==w.config.maxDate){var o=w.config.maxDate.getHours(),r=w.config.maxDate.getMinutes();(e=Math.min(e,o))===o&&(n=Math.min(r,n)),e===o&&n===r&&(t=w.config.maxDate.getSeconds())}return{hours:e,minutes:n,seconds:t}}function O(e,n,t){void 0!==w.latestSelectedDateObj&&w.latestSelectedDateObj.setHours(e%24,n,t||0,0),w.hourElement&&w.minuteElement&&!w.isMobile&&(w.hourElement.value=o(w.config.time_24hr?e:(12+e)%12+12*r(e%12==0)),w.minuteElement.value=o(n),void 0!==w.amPM&&(w.amPM.textContent=w.l10n.amPM[r(e>=12)]),void 0!==w.secondElement&&(w.secondElement.value=o(t)))}function F(e){var n=g(e),t=parseInt(n.value)+(e.delta||0);(t/1e3>1||\"Enter\"===e.key&&!/[^\\d]/.test(t.toString()))&&Q(t)}function N(e,n,t,a){return n instanceof Array?n.forEach((function(n){return N(e,n,t,a)})):e instanceof Array?e.forEach((function(e){return N(e,n,t,a)})):(e.addEventListener(n,t,a),void w._handlers.push({element:e,event:n,handler:t,options:a}))}function A(){pe(\"onChange\")}function P(e,n){var t=void 0!==e?w.parseDate(e):w.latestSelectedDateObj||(w.config.minDate&&w.config.minDate>w.now?w.config.minDate:w.config.maxDate&&w.config.maxDate=0&&M(e,w.selectedDates[1])<=0}(n)&&!ve(n)&&o.classList.add(\"inRange\"),w.weekNumbers&&1===w.config.showMonths&&\"prevMonthDay\"!==e&&t%7==1&&w.weekNumbers.insertAdjacentHTML(\"beforeend\",\"\"+w.config.getWeek(n)+\"\"),pe(\"onDayCreate\",o),o}function L(e){e.focus(),\"range\"===w.config.mode&&ae(e)}function W(e){for(var n=e>0?0:w.config.showMonths-1,t=e>0?w.config.showMonths:-1,a=n;a!=t;a+=e)for(var i=w.daysContainer.children[a],o=e>0?0:i.children.length-1,r=e>0?i.children.length:-1,l=o;l!=r;l+=e){var c=i.children[l];if(-1===c.className.indexOf(\"hidden\")&&X(c.dateObj))return c}}function R(e,n){var t=ee(document.activeElement||document.body),a=void 0!==e?e:t?document.activeElement:void 0!==w.selectedDateElem&&ee(w.selectedDateElem)?w.selectedDateElem:void 0!==w.todayDateElem&&ee(w.todayDateElem)?w.todayDateElem:W(n>0?1:-1);void 0===a?w._input.focus():t?function(e,n){for(var t=-1===e.className.indexOf(\"Month\")?e.dateObj.getMonth():w.currentMonth,a=n>0?w.config.showMonths:-1,i=n>0?1:-1,o=t-w.currentMonth;o!=a;o+=i)for(var r=w.daysContainer.children[o],l=t-w.currentMonth===o?e.$i+n:n<0?r.children.length-1:0,c=r.children.length,d=l;d>=0&&d0?c:-1);d+=i){var s=r.children[d];if(-1===s.className.indexOf(\"hidden\")&&X(s.dateObj)&&Math.abs(e.$i-d)>=Math.abs(n))return L(s)}w.changeMonth(i),R(W(i),0)}(a,n):L(a)}function B(e,n){for(var t=(new Date(e,n,1).getDay()-w.l10n.firstDayOfWeek+7)%7,a=w.utils.getDaysInMonth((n-1+12)%12,e),i=w.utils.getDaysInMonth(n,e),o=window.document.createDocumentFragment(),r=w.config.showMonths>1,l=r?\"prevMonthDay hidden\":\"prevMonthDay\",c=r?\"nextMonthDay hidden\":\"nextMonthDay\",d=a+1-t,u=0;d<=a;d++,u++)o.appendChild(j(l,new Date(e,n-1,d),d,u));for(d=1;d<=i;d++,u++)o.appendChild(j(\"\",new Date(e,n,d),d,u));for(var f=i+1;f<=42-t&&(1===w.config.showMonths||u%7!=0);f++,u++)o.appendChild(j(c,new Date(e,n+1,f%i),f,u));var m=s(\"div\",\"dayContainer\");return m.appendChild(o),m}function J(){if(void 0!==w.daysContainer){u(w.daysContainer),w.weekNumbers&&u(w.weekNumbers);for(var e=document.createDocumentFragment(),n=0;n1||\"dropdown\"!==w.config.monthSelectorType)){var e=function(e){return!(void 0!==w.config.minDate&&w.currentYear===w.config.minDate.getFullYear()&&ew.config.maxDate.getMonth())};w.monthsDropdownContainer.tabIndex=-1,w.monthsDropdownContainer.innerHTML=\"\";for(var n=0;n<12;n++)if(e(n)){var t=s(\"option\",\"flatpickr-monthDropdown-month\");t.value=new Date(w.currentYear,n).getMonth().toString(),t.textContent=h(n,w.config.shorthandCurrentMonth,w.l10n),t.tabIndex=-1,w.currentMonth===n&&(t.selected=!0),w.monthsDropdownContainer.appendChild(t)}}}function U(){var e,n=s(\"div\",\"flatpickr-month\"),t=window.document.createDocumentFragment();w.config.showMonths>1||\"static\"===w.config.monthSelectorType?e=s(\"span\",\"cur-month\"):(w.monthsDropdownContainer=s(\"select\",\"flatpickr-monthDropdown-months\"),w.monthsDropdownContainer.setAttribute(\"aria-label\",w.l10n.monthAriaLabel),N(w.monthsDropdownContainer,\"change\",(function(e){var n=g(e),t=parseInt(n.value,10);w.changeMonth(t-w.currentMonth),pe(\"onMonthChange\")})),K(),e=w.monthsDropdownContainer);var a=m(\"cur-year\",{tabindex:\"-1\"}),i=a.getElementsByTagName(\"input\")[0];i.setAttribute(\"aria-label\",w.l10n.yearAriaLabel),w.config.minDate&&i.setAttribute(\"min\",w.config.minDate.getFullYear().toString()),w.config.maxDate&&(i.setAttribute(\"max\",w.config.maxDate.getFullYear().toString()),i.disabled=!!w.config.minDate&&w.config.minDate.getFullYear()===w.config.maxDate.getFullYear());var o=s(\"div\",\"flatpickr-current-month\");return o.appendChild(e),o.appendChild(a),t.appendChild(o),n.appendChild(t),{container:n,yearElement:i,monthElement:e}}function q(){u(w.monthNav),w.monthNav.appendChild(w.prevMonthNav),w.config.showMonths&&(w.yearElements=[],w.monthElements=[]);for(var e=w.config.showMonths;e--;){var n=U();w.yearElements.push(n.yearElement),w.monthElements.push(n.monthElement),w.monthNav.appendChild(n.container)}w.monthNav.appendChild(w.nextMonthNav)}function $(){w.weekdayContainer?u(w.weekdayContainer):w.weekdayContainer=s(\"div\",\"flatpickr-weekdays\");for(var e=w.config.showMonths;e--;){var n=s(\"div\",\"flatpickr-weekdaycontainer\");w.weekdayContainer.appendChild(n)}return z(),w.weekdayContainer}function z(){if(w.weekdayContainer){var e=w.l10n.firstDayOfWeek,t=n(w.l10n.weekdays.shorthand);e>0&&e\\n \"+t.join(\"\")+\"\\n \\n \"}}function G(e,n){void 0===n&&(n=!0);var t=n?e:e-w.currentMonth;t<0&&!0===w._hidePrevMonthArrow||t>0&&!0===w._hideNextMonthArrow||(w.currentMonth+=t,(w.currentMonth<0||w.currentMonth>11)&&(w.currentYear+=w.currentMonth>11?1:-1,w.currentMonth=(w.currentMonth+12)%12,pe(\"onYearChange\"),K()),J(),pe(\"onMonthChange\"),De())}function V(e){return!(!w.config.appendTo||!w.config.appendTo.contains(e))||w.calendarContainer.contains(e)}function Z(e){if(w.isOpen&&!w.config.inline){var 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 w.setDate(w._input.value,!0,n===w.altInput?w.config.altFormat:w.config.dateFormat),n.blur();w.open()}else if(V(n)||i||o){var r=!!w.timeContainer&&w.timeContainer.contains(n);switch(e.keyCode){case 13:r?(e.preventDefault(),T(),se()):ue(e);break;case 27:e.preventDefault(),se();break;case 8:case 46:t&&!w.config.allowInput&&(e.preventDefault(),w.clear());break;case 37:case 39:if(r||t)w.hourElement&&w.hourElement.focus();else if(e.preventDefault(),void 0!==w.daysContainer&&(!1===a||document.activeElement&&ee(document.activeElement))){var l=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),G(l),R(W(1),0)):R(void 0,l)}break;case 38:case 40:e.preventDefault();var c=40===e.keyCode?1:-1;w.daysContainer&&void 0!==n.$i||n===w.input||n===w.altInput?e.ctrlKey?(e.stopPropagation(),Q(w.currentYear-c),R(W(1),0)):r||R(void 0,7*c):n===w.currentYearElement?Q(w.currentYear-c):w.config.enableTime&&(!r&&w.hourElement&&w.hourElement.focus(),T(e),w._debouncedChange());break;case 9:if(r){var 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 0,!0).getTime(),a=Math.min(n,w.selectedDates[0].getTime()),i=Math.max(n,w.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;ca&&cr)?r=c:c>t&&(!l||c0&&m0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(n<=w.selectedDates[0].getTime()?\"startRange\":\"endRange\"),tn&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c0||t.getMinutes()>0||t.getSeconds()>0),w.selectedDates&&(w.selectedDates=w.selectedDates.filter((function(e){return X(e)})),w.selectedDates.length||\"min\"!==e||S(t),be()),w.daysContainer&&(de(),void 0!==t?w.currentYearElement[e]=t.getFullYear().toString():w.currentYearElement.removeAttribute(e),w.currentYearElement.disabled=!!a&&void 0!==t&&a.getFullYear()===t.getFullYear())}}function re(){return w.config.wrap?p.querySelector(\"[data-input]\"):p}function le(){\"object\"!=typeof w.config.locale&&void 0===k.l10ns[w.config.locale]&&w.config.errorHandler(new Error(\"flatpickr: invalid locale \"+w.config.locale)),w.l10n=e(e({},k.l10ns.default),\"object\"==typeof w.config.locale?w.config.locale:\"default\"!==w.config.locale?k.l10ns[w.config.locale]:void 0),D.K=\"(\"+w.l10n.amPM[0]+\"|\"+w.l10n.amPM[1]+\"|\"+w.l10n.amPM[0].toLowerCase()+\"|\"+w.l10n.amPM[1].toLowerCase()+\")\",void 0===e(e({},v),JSON.parse(JSON.stringify(p.dataset||{}))).time_24hr&&void 0===k.defaultConfig.time_24hr&&(w.config.time_24hr=w.l10n.time_24hr),w.formatDate=b(w),w.parseDate=C({config:w.config,l10n:w.l10n})}function ce(e){if(void 0!==w.calendarContainer){pe(\"onPreCalendarPosition\");var n=e||w._positionElement,t=Array.prototype.reduce.call(w.calendarContainer.children,(function(e,n){return e+n.offsetHeight}),0),a=w.calendarContainer.offsetWidth,i=w.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=n.getBoundingClientRect(),c=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&ct,u=window.pageYOffset+l.top+(s?-t-2:n.offsetHeight+2);if(d(w.calendarContainer,\"arrowTop\",!s),d(w.calendarContainer,\"arrowBottom\",s),!w.config.inline){var f=window.pageXOffset+l.left,m=!1,g=!1;\"center\"===r?(f-=(a-l.width)/2,m=!0):\"right\"===r&&(f-=a-l.width,g=!0),d(w.calendarContainer,\"arrowLeft\",!m&&!g),d(w.calendarContainer,\"arrowCenter\",m),d(w.calendarContainer,\"arrowRight\",g);var p=window.document.body.offsetWidth-(window.pageXOffset+l.right),h=f+a>window.document.body.offsetWidth,v=p+a>window.document.body.offsetWidth;if(d(w.calendarContainer,\"rightMost\",h),!w.config.static)if(w.calendarContainer.style.top=u+\"px\",h)if(v){var D=function(){for(var e=null,n=0;nw.currentMonth+w.config.showMonths-1)&&\"range\"!==w.config.mode;if(w.selectedDateElem=t,\"single\"===w.config.mode)w.selectedDates=[a];else if(\"multiple\"===w.config.mode){var o=ve(a);o?w.selectedDates.splice(parseInt(o),1):w.selectedDates.push(a)}else\"range\"===w.config.mode&&(2===w.selectedDates.length&&w.clear(!1,!1),w.latestSelectedDateObj=a,w.selectedDates.push(a),0!==M(a,w.selectedDates[0],!0)&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()})));if(I(),i){var r=w.currentYear!==a.getFullYear();w.currentYear=a.getFullYear(),w.currentMonth=a.getMonth(),r&&(pe(\"onYearChange\"),K()),pe(\"onMonthChange\")}if(De(),J(),be(),i||\"range\"===w.config.mode||1!==w.config.showMonths?void 0!==w.selectedDateElem&&void 0===w.hourElement&&w.selectedDateElem&&w.selectedDateElem.focus():L(t),void 0!==w.hourElement&&void 0!==w.hourElement&&w.hourElement.focus(),w.config.closeOnSelect){var 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 0!==w._input&&w._input.classList.remove(\"active\")),pe(\"onClose\")},w._createElement=s,w.destroy=function(){void 0!==w.config&&pe(\"onDestroy\");for(var e=w._handlers.length;e--;){var n=w._handlers[e];n.element.removeEventListener(n.event,n.handler,n.options)}if(w._handlers=[],w.mobileInput)w.mobileInput.parentNode&&w.mobileInput.parentNode.removeChild(w.mobileInput),w.mobileInput=void 0;else if(w.calendarContainer&&w.calendarContainer.parentNode)if(w.config.static&&w.calendarContainer.parentNode){var t=w.calendarContainer.parentNode;if(t.lastChild&&t.removeChild(t.lastChild),t.parentNode){for(;t.firstChild;)t.parentNode.insertBefore(t.firstChild,t);t.parentNode.removeChild(t)}}else w.calendarContainer.parentNode.removeChild(w.calendarContainer);w.altInput&&(w.input.type=\"text\",w.altInput.parentNode&&w.altInput.parentNode.removeChild(w.altInput),delete 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 pe(\"onOpen\")}if(!w._input.disabled&&!w.config.inline){var a=w.isOpen;w.isOpen=!0,a||(w.calendarContainer.classList.add(\"open\"),w._input.classList.add(\"active\"),pe(\"onOpen\"),ce(n)),!0===w.config.enableTime&&!0===w.config.noCalendar&&(!1!==w.config.allowInput||void 0!==e&&w.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return w.hourElement.select()}),50))}},w.redraw=de,w.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(w.config,e),e)void 0!==fe[a]&&fe[a].forEach((function(e){return e()}));else w.config[e]=n,void 0!==fe[e]?fe[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(w.config[e]=c(n));w.redraw(),be(!0)},w.setDate=function(e,n,t){if(void 0===n&&(n=!1),void 0===t&&(t=w.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return w.clear(n);me(e,t),w.latestSelectedDateObj=w.selectedDates[w.selectedDates.length-1],w.redraw(),P(void 0,n),S(),0===w.selectedDates.length&&w.clear(!1),be(n),n&&pe(\"onChange\")},w.toggle=function(e){if(!0===w.isOpen)return w.close();w.open(e)};var fe={locale:[le,z],showMonths:[q,E,$],minDate:[P],maxDate:[P]};function me(e,n){var t=[];if(e instanceof Array)t=e.map((function(e){return w.parseDate(e,n)}));else if(e instanceof Date||\"number\"==typeof e)t=[w.parseDate(e,n)];else if(\"string\"==typeof e)switch(w.config.mode){case\"single\":case\"time\":t=[w.parseDate(e,n)];break;case\"multiple\":t=e.split(w.config.conjunction).map((function(e){return w.parseDate(e,n)}));break;case\"range\":t=e.split(w.l10n.rangeSeparator).map((function(e){return w.parseDate(e,n)}))}else w.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));w.selectedDates=w.config.allowInvalidPreload?t:t.filter((function(e){return e instanceof Date&&X(e,!1)})),\"range\"===w.config.mode&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()}))}function ge(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?w.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:w.parseDate(e.from,void 0),to:w.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function pe(e,n){if(void 0!==w.config){var t=w.config[e];if(void 0!==t&&t.length>0)for(var a=0;t[a]&&a1||\"static\"===w.config.monthSelectorType?w.monthElements[n].textContent=h(t.getMonth(),w.config.shorthandCurrentMonth,w.l10n)+\" \":w.monthsDropdownContainer.value=t.getMonth().toString(),e.value=t.getFullYear().toString()})),w._hidePrevMonthArrow=void 0!==w.config.minDate&&(w.currentYear===w.config.minDate.getFullYear()?w.currentMonth<=w.config.minDate.getMonth():w.currentYearw.config.maxDate.getMonth():w.currentYear>w.config.maxDate.getFullYear()))}function we(e){return w.selectedDates.map((function(n){return w.formatDate(n,e)})).filter((function(e,n,t){return\"range\"!==w.config.mode||w.config.enableTime||t.indexOf(e)===n})).join(\"range\"!==w.config.mode?w.config.conjunction:w.l10n.rangeSeparator)}function be(e){void 0===e&&(e=!0),void 0!==w.mobileInput&&w.mobileFormatStr&&(w.mobileInput.value=void 0!==w.latestSelectedDateObj?w.formatDate(w.latestSelectedDateObj,w.mobileFormatStr):\"\"),w.input.value=we(w.config.dateFormat),void 0!==w.altInput&&(w.altInput.value=we(w.config.altFormat)),!1!==e&&pe(\"onValueUpdate\")}function Ce(e){var n=g(e),t=w.prevMonthNav.contains(n),a=w.nextMonthNav.contains(n);t||a?G(t?-1:1):w.yearElements.indexOf(n)>=0?n.select():n.classList.contains(\"arrowUp\")?w.changeYear(w.currentYear+1):n.classList.contains(\"arrowDown\")&&w.changeYear(w.currentYear-1)}return function(){w.element=w.input=p,w.isOpen=!1,function(){var n=[\"wrap\",\"weekNumbers\",\"allowInput\",\"allowInvalidPreload\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e(e({},JSON.parse(JSON.stringify(p.dataset||{}))),v),o={};w.config.parseDate=i.parseDate,w.config.formatDate=i.formatDate,Object.defineProperty(w.config,\"enable\",{get:function(){return w.config._enable},set:function(e){w.config._enable=ge(e)}}),Object.defineProperty(w.config,\"disable\",{get:function(){return w.config._disable},set:function(e){w.config._disable=ge(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var l=k.defaultConfig.dateFormat||a.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):l+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=k.defaultConfig.altFormat||a.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}Object.defineProperty(w.config,\"minDate\",{get:function(){return w.config._minDate},set:oe(\"min\")}),Object.defineProperty(w.config,\"maxDate\",{get:function(){return w.config._maxDate},set:oe(\"max\")});var s=function(e){return function(n){w.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=w.parseDate(n,\"H:i:S\")}};Object.defineProperty(w.config,\"minTime\",{get:function(){return w.config._minTime},set:s(\"min\")}),Object.defineProperty(w.config,\"maxTime\",{get:function(){return w.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(w.config.noCalendar=!0,w.config.enableTime=!0),Object.assign(w.config,o,i);for(var u=0;u-1?w.config[m]=c(f[m]).map(x).concat(w.config[m]):void 0===i[m]&&(w.config[m]=f[m])}i.altInputClass||(w.config.altInputClass=re().className+\" \"+w.config.altInputClass),pe(\"onParseConfig\")}(),le(),w.input=re(),w.input?(w.input._type=w.input.type,w.input.type=\"text\",w.input.classList.add(\"flatpickr-input\"),w._input=w.input,w.config.altInput&&(w.altInput=s(w.input.nodeName,w.config.altInputClass),w._input=w.altInput,w.altInput.placeholder=w.input.placeholder,w.altInput.disabled=w.input.disabled,w.altInput.required=w.input.required,w.altInput.tabIndex=w.input.tabIndex,w.altInput.type=\"text\",w.input.setAttribute(\"type\",\"hidden\"),!w.config.static&&w.input.parentNode&&w.input.parentNode.insertBefore(w.altInput,w.input.nextSibling)),w.config.allowInput||w._input.setAttribute(\"readonly\",\"readonly\"),w._positionElement=w.config.positionElement||w._input):w.config.errorHandler(new Error(\"Invalid input element specified\")),function(){w.selectedDates=[],w.now=w.parseDate(w.config.now)||new Date;var e=w.config.defaultDate||(\"INPUT\"!==w.input.nodeName&&\"TEXTAREA\"!==w.input.nodeName||!w.input.placeholder||w.input.value!==w.input.placeholder?w.input.value:null);e&&me(e,w.config.dateFormat),w._initialDate=w.selectedDates.length>0?w.selectedDates[0]:w.config.minDate&&w.config.minDate.getTime()>w.now.getTime()?w.config.minDate:w.config.maxDate&&w.config.maxDate.getTime()0&&(w.latestSelectedDateObj=w.selectedDates[0]),void 0!==w.config.minTime&&(w.config.minTime=w.parseDate(w.config.minTime,\"H:i\")),void 0!==w.config.maxTime&&(w.config.maxTime=w.parseDate(w.config.maxTime,\"H:i\")),w.minDateHasTime=!!w.config.minDate&&(w.config.minDate.getHours()>0||w.config.minDate.getMinutes()>0||w.config.minDate.getSeconds()>0),w.maxDateHasTime=!!w.config.maxDate&&(w.config.maxDate.getHours()>0||w.config.maxDate.getMinutes()>0||w.config.maxDate.getSeconds()>0)}(),w.utils={getDaysInMonth:function(e,n){return void 0===e&&(e=w.currentMonth),void 0===n&&(n=w.currentYear),1===e&&(n%4==0&&n%100!=0||n%400==0)?29:w.l10n.daysInMonth[e]}},w.isMobile||function(){var e=window.document.createDocumentFragment();if(w.calendarContainer=s(\"div\",\"flatpickr-calendar\"),w.calendarContainer.tabIndex=-1,!w.config.noCalendar){if(e.appendChild((w.monthNav=s(\"div\",\"flatpickr-months\"),w.yearElements=[],w.monthElements=[],w.prevMonthNav=s(\"span\",\"flatpickr-prev-month\"),w.prevMonthNav.innerHTML=w.config.prevArrow,w.nextMonthNav=s(\"span\",\"flatpickr-next-month\"),w.nextMonthNav.innerHTML=w.config.nextArrow,q(),Object.defineProperty(w,\"_hidePrevMonthArrow\",{get:function(){return w.__hidePrevMonthArrow},set:function(e){w.__hidePrevMonthArrow!==e&&(d(w.prevMonthNav,\"flatpickr-disabled\",e),w.__hidePrevMonthArrow=e)}}),Object.defineProperty(w,\"_hideNextMonthArrow\",{get:function(){return w.__hideNextMonthArrow},set:function(e){w.__hideNextMonthArrow!==e&&(d(w.nextMonthNav,\"flatpickr-disabled\",e),w.__hideNextMonthArrow=e)}}),w.currentYearElement=w.yearElements[0],De(),w.monthNav)),w.innerContainer=s(\"div\",\"flatpickr-innerContainer\"),w.config.weekNumbers){var n=function(){w.calendarContainer.classList.add(\"hasWeeks\");var e=s(\"div\",\"flatpickr-weekwrapper\");e.appendChild(s(\"span\",\"flatpickr-weekday\",w.l10n.weekAbbreviation));var n=s(\"div\",\"flatpickr-weeks\");return e.appendChild(n),{weekWrapper:e,weekNumbers:n}}(),t=n.weekWrapper,a=n.weekNumbers;w.innerContainer.appendChild(t),w.weekNumbers=a,w.weekWrapper=t}w.rContainer=s(\"div\",\"flatpickr-rContainer\"),w.rContainer.appendChild($()),w.daysContainer||(w.daysContainer=s(\"div\",\"flatpickr-days\"),w.daysContainer.tabIndex=-1),J(),w.rContainer.appendChild(w.daysContainer),w.innerContainer.appendChild(w.rContainer),e.appendChild(w.innerContainer)}w.config.enableTime&&e.appendChild(function(){w.calendarContainer.classList.add(\"hasTime\"),w.config.noCalendar&&w.calendarContainer.classList.add(\"noCalendar\"),w.timeContainer=s(\"div\",\"flatpickr-time\"),w.timeContainer.tabIndex=-1;var e=s(\"span\",\"flatpickr-time-separator\",\":\"),n=m(\"flatpickr-hour\",{\"aria-label\":w.l10n.hourAriaLabel});w.hourElement=n.getElementsByTagName(\"input\")[0];var t=m(\"flatpickr-minute\",{\"aria-label\":w.l10n.minuteAriaLabel});if(w.minuteElement=t.getElementsByTagName(\"input\")[0],w.hourElement.tabIndex=w.minuteElement.tabIndex=-1,w.hourElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getHours():w.config.time_24hr?w.config.defaultHour:function(e){switch(e%24){case 0:case 12:return 12;default:return e%12}}(w.config.defaultHour)),w.minuteElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getMinutes():w.config.defaultMinute),w.hourElement.setAttribute(\"step\",w.config.hourIncrement.toString()),w.minuteElement.setAttribute(\"step\",w.config.minuteIncrement.toString()),w.hourElement.setAttribute(\"min\",w.config.time_24hr?\"0\":\"1\"),w.hourElement.setAttribute(\"max\",w.config.time_24hr?\"23\":\"12\"),w.minuteElement.setAttribute(\"min\",\"0\"),w.minuteElement.setAttribute(\"max\",\"59\"),w.timeContainer.appendChild(n),w.timeContainer.appendChild(e),w.timeContainer.appendChild(t),w.config.time_24hr&&w.timeContainer.classList.add(\"time24hr\"),w.config.enableSeconds){w.timeContainer.classList.add(\"hasSeconds\");var a=m(\"flatpickr-second\");w.secondElement=a.getElementsByTagName(\"input\")[0],w.secondElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getSeconds():w.config.defaultSeconds),w.secondElement.setAttribute(\"step\",w.minuteElement.getAttribute(\"step\")),w.secondElement.setAttribute(\"min\",\"0\"),w.secondElement.setAttribute(\"max\",\"59\"),w.timeContainer.appendChild(s(\"span\",\"flatpickr-time-separator\",\":\")),w.timeContainer.appendChild(a)}return w.config.time_24hr||(w.amPM=s(\"span\",\"flatpickr-am-pm\",w.l10n.amPM[r((w.latestSelectedDateObj?w.hourElement.value:w.config.defaultHour)>11)]),w.amPM.title=w.l10n.toggleTitle,w.amPM.tabIndex=-1,w.timeContainer.appendChild(w.amPM)),w.timeContainer}()),d(w.calendarContainer,\"rangeMode\",\"range\"===w.config.mode),d(w.calendarContainer,\"animate\",!0===w.config.animate),d(w.calendarContainer,\"multiMonth\",w.config.showMonths>1),w.calendarContainer.appendChild(e);var i=void 0!==w.config.appendTo&&void 0!==w.config.appendTo.nodeType;if((w.config.inline||w.config.static)&&(w.calendarContainer.classList.add(w.config.inline?\"inline\":\"static\"),w.config.inline&&(!i&&w.element.parentNode?w.element.parentNode.insertBefore(w.calendarContainer,w._input.nextSibling):void 0!==w.config.appendTo&&w.config.appendTo.appendChild(w.calendarContainer)),w.config.static)){var l=s(\"div\",\"flatpickr-wrapper\");w.element.parentNode&&w.element.parentNode.insertBefore(l,w.element),l.appendChild(w.element),w.altInput&&l.appendChild(w.altInput),l.appendChild(w.calendarContainer)}w.config.static||w.config.inline||(void 0!==w.config.appendTo?w.config.appendTo:window.document.body).appendChild(w.calendarContainer)}(),function(){if(w.config.wrap&&[\"open\",\"close\",\"toggle\",\"clear\"].forEach((function(e){Array.prototype.forEach.call(w.element.querySelectorAll(\"[data-\"+e+\"]\"),(function(n){return N(n,\"click\",w[e])}))})),w.isMobile)!function(){var e=w.config.enableTime?w.config.noCalendar?\"time\":\"datetime-local\":\"date\";w.mobileInput=s(\"input\",w.input.className+\" flatpickr-mobile\"),w.mobileInput.tabIndex=1,w.mobileInput.type=e,w.mobileInput.disabled=w.input.disabled,w.mobileInput.required=w.input.required,w.mobileInput.placeholder=w.input.placeholder,w.mobileFormatStr=\"datetime-local\"===e?\"Y-m-d\\\\TH:i:S\":\"date\"===e?\"Y-m-d\":\"H:i:S\",w.selectedDates.length>0&&(w.mobileInput.defaultValue=w.mobileInput.value=w.formatDate(w.selectedDates[0],w.mobileFormatStr)),w.config.minDate&&(w.mobileInput.min=w.formatDate(w.config.minDate,\"Y-m-d\")),w.config.maxDate&&(w.mobileInput.max=w.formatDate(w.config.maxDate,\"Y-m-d\")),w.input.getAttribute(\"step\")&&(w.mobileInput.step=String(w.input.getAttribute(\"step\"))),w.input.type=\"hidden\",void 0!==w.altInput&&(w.altInput.type=\"hidden\");try{w.input.parentNode&&w.input.parentNode.insertBefore(w.mobileInput,w.input.nextSibling)}catch(e){}N(w.mobileInput,\"change\",(function(e){w.setDate(g(e).value,!1,w.mobileFormatStr),pe(\"onChange\"),pe(\"onClose\")}))}();else{var e=l(ie,50);if(w._debouncedChange=l(A,300),w.daysContainer&&!/iPhone|iPad|iPod/i.test(navigator.userAgent)&&N(w.daysContainer,\"mouseover\",(function(e){\"range\"===w.config.mode&&ae(g(e))})),N(window.document.body,\"keydown\",te),w.config.inline||w.config.static||N(window,\"resize\",e),void 0!==window.ontouchstart?N(window.document,\"touchstart\",Z):N(window.document,\"click\",Z),N(window.document,\"focus\",Z,{capture:!0}),!0===w.config.clickOpens&&(N(w._input,\"focus\",w.open),N(w._input,\"click\",w.open)),void 0!==w.daysContainer&&(N(w.monthNav,\"click\",Ce),N(w.monthNav,[\"keyup\",\"increment\"],F),N(w.daysContainer,\"click\",ue)),void 0!==w.timeContainer&&void 0!==w.minuteElement&&void 0!==w.hourElement){var n=function(e){return g(e).select()};N(w.timeContainer,[\"increment\"],T),N(w.timeContainer,\"blur\",T,{capture:!0}),N(w.timeContainer,\"click\",Y),N([w.hourElement,w.minuteElement],[\"focus\",\"click\"],n),void 0!==w.secondElement&&N(w.secondElement,\"focus\",(function(){return w.secondElement&&w.secondElement.select()})),void 0!==w.amPM&&N(w.amPM,\"click\",(function(e){T(e),A()}))}w.config.allowInput&&N(w._input,\"blur\",ne)}}(),(w.selectedDates.length||w.config.noCalendar)&&(w.config.enableTime&&S(w.config.noCalendar?w.latestSelectedDateObj||w.config.minDate:void 0),be(!1)),E();var n=/^((?!chrome|android).)*safari/i.test(navigator.userAgent);!w.isMobile&&n&&ce(),pe(\"onReady\")}(),w}function E(e,n){for(var t=Array.prototype.slice.call(e).filter((function(e){return e instanceof HTMLElement})),a=[],i=0;ithis.render()));const{start:s,end:l,value:o,step:r,title:n}=this.model.properties;this.on_change([s,l,o,r],(()=>{const{start:t,end:e,value:i,step:s}=this._calc_to();this._noUiSlider.updateOptions({range:{min:t,max:e},start:i,step:s},!0)}));const{bar_color:a}=this.model.properties;this.on_change(a,(()=>{this._set_bar_color()}));const{show_value:d}=this.model.properties;this.on_change([o,n,d],(()=>this._update_title()))}styles(){return[...super.styles(),p.default,u.default]}_update_title(){var t;(0,a.empty)(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=(null===(t=this.model.title)||void 0===t?void 0:t.length)&&(this.title_el.textContent=`${this.model.title}: `),this.model.show_value)){const{value:t}=this._calc_to(),e=t.map((t=>this.model.pretty(t))).join(\" .. \");this.title_el.appendChild((0,a.span)({class:m.slider_value},e))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=(0,_.color2css)(this.model.bar_color)}}render(){super.render();const{start:t,end:e,value:i,step:s}=this._calc_to();let l;if(this.model.tooltips){const t={to:t=>this.model.pretty(t)};l=(0,d.repeat)(t,i.length)}else l=!1;if(null==this.slider_el){this.slider_el=(0,a.div)(),this._noUiSlider=n.default.create(this.slider_el,{range:{min:t,max:e},start:i,step:s,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:l,orientation:this.model.orientation,direction:this.model.direction}),this._noUiSlider.on(\"slide\",((t,e,i)=>this._slide(i))),this._noUiSlider.on(\"change\",((t,e,i)=>this._change(i)));const o=(t,e)=>{if(!l)return;this.slider_el.querySelectorAll(\".noUi-handle\")[t].querySelector(\".noUi-tooltip\").style.display=e?\"block\":\"\"};this._noUiSlider.on(\"start\",((t,e)=>o(e,!0))),this._noUiSlider.on(\"end\",((t,e)=>o(e,!1)))}else this._noUiSlider.updateOptions({range:{min:t,max:e},start:i,step:s},!0);this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=(0,a.div)({class:m.slider_title}),this._update_title(),this.group_el=(0,a.div)({class:v.input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(t){this.model.value=this._calc_from(t)}_change(t){const e=this._calc_from(t);this.model.setv({value:e,value_throttled:e})}}b.__name__=\"AbstractBaseSliderView\";class g extends b{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([t]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(t):t}}i.AbstractSliderView=g,g.__name__=\"AbstractSliderView\";class f extends b{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(t){return t}}i.AbstractRangeSliderView=f,f.__name__=\"AbstractRangeSliderView\";class S extends h.OrientedControl{constructor(t){super(t),this.connected=!1}pretty(t){return this._formatter(t,this.format)}}i.AbstractSlider=S,r=S,S.__name__=\"AbstractSlider\",r.define((({Any:t,Boolean:e,Number:i,String:s,Color:l,Or:o,Enum:r,Ref:n,Nullable:a})=>({title:[a(s),\"\"],show_value:[e,!0],start:[t],end:[t],value:[t],value_throttled:[t],step:[i,1],format:[o(s,n(c.TickFormatter))],direction:[r(\"ltr\",\"rtl\"),\"ltr\"],tooltips:[e,!0],bar_color:[l,\"#e6e6e6\"]})))},\n 462: function _(t,e,r,n,i){var o,s;o=this,s=function(t){\"use strict\";var e,r;function n(t){return\"object\"==typeof t&&\"function\"==typeof t.to}function i(t){t.parentElement.removeChild(t)}function o(t){return null!=t}function s(t){t.preventDefault()}function a(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function l(t,e,r){r>0&&(f(t,e),setTimeout((function(){d(t,e)}),r))}function u(t){return Math.max(Math.min(t,100),0)}function c(t){return Array.isArray(t)?t:[t]}function p(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function f(t,e){t.classList&&!/\\s/.test(e)?t.classList.add(e):t.className+=\" \"+e}function d(t,e){t.classList&&!/\\s/.test(e)?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function h(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function m(t,e){return 100/(e-t)}function g(t,e,r){return 100*e/(t[r+1]-t[r])}function v(t,e){for(var r=1;t>=e[r];)r+=1;return r}function b(t,e,r){if(r>=t.slice(-1)[0])return 100;var n=v(r,t),i=t[n-1],o=t[n],s=e[n-1],a=e[n];return s+function(t,e){return g(t,t[0]<0?e+Math.abs(t[0]):e-t[0],0)}([i,o],r)/m(s,a)}function S(t,e,r,n){if(100===n)return n;var i=v(n,t),o=t[i-1],s=t[i];return r?n-o>(s-o)/2?s:o:e[i-1]?t[i-1]+function(t,e){return Math.round(t/e)*e}(n-t[i-1],e[i-1]):n}t.PipsMode=void 0,(e=t.PipsMode||(t.PipsMode={})).Range=\"range\",e.Steps=\"steps\",e.Positions=\"positions\",e.Count=\"count\",e.Values=\"values\",t.PipsType=void 0,(r=t.PipsType||(t.PipsType={}))[r.None=-1]=\"None\",r[r.NoValue=0]=\"NoValue\",r[r.LargeValue=1]=\"LargeValue\",r[r.SmallValue=2]=\"SmallValue\";var x=function(){function t(t,e,r){var n;this.xPct=[],this.xVal=[],this.xSteps=[],this.xNumSteps=[],this.xHighestCompleteStep=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.snap=e;var i=[];for(Object.keys(t).forEach((function(e){i.push([c(t[e]),e])})),i.sort((function(t,e){return t[0][0]-e[0][0]})),n=0;nthis.xPct[i+1];)i++;else t===this.xPct[this.xPct.length-1]&&(i=this.xPct.length-2);r||t!==this.xPct[i+1]||i++,null===e&&(e=[]);var o=1,s=e[i],a=0,l=0,u=0,c=0;for(n=r?(t-this.xPct[i])/(this.xPct[i+1]-this.xPct[i]):(this.xPct[i+1]-t)/(this.xPct[i+1]-this.xPct[i]);s>0;)a=this.xPct[i+1+c]-this.xPct[i+c],e[i+c]*o+100-100*n>100?(l=a*n,o=(s-100*n)/e[i+c],n=1):(l=e[i+c]*a/100*o,o=0),r?(u-=l,this.xPct.length+c>=1&&c--):(u+=l,this.xPct.length-c>=1&&c++),s=e[i+c]*o;return t+u},t.prototype.toStepping=function(t){return t=b(this.xVal,this.xPct,t)},t.prototype.fromStepping=function(t){return function(t,e,r){if(r>=100)return t.slice(-1)[0];var n=v(r,e),i=t[n-1],o=t[n],s=e[n-1];return function(t,e){return e*(t[1]-t[0])/100+t[0]}([i,o],(r-s)*m(s,e[n]))}(this.xVal,this.xPct,t)},t.prototype.getStep=function(t){return t=S(this.xPct,this.xSteps,this.snap,t)},t.prototype.getDefaultStep=function(t,e,r){var n=v(t,this.xPct);return(100===t||e&&t===this.xPct[n-1])&&(n=Math.max(n-1,1)),(this.xVal[n]-this.xVal[n-1])/r},t.prototype.getNearbySteps=function(t){var e=v(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e],step:this.xNumSteps[e],highestStep:this.xHighestCompleteStep[e]}}},t.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(p);return Math.max.apply(null,t)},t.prototype.hasNoSize=function(){return this.xVal[0]===this.xVal[this.xVal.length-1]},t.prototype.convert=function(t){return this.getStep(this.toStepping(t))},t.prototype.handleEntryPoint=function(t,e){var r;if(!a(r=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!a(e[0]))throw new Error(\"noUiSlider: 'range' value isn't numeric.\");this.xPct.push(r),this.xVal.push(e[0]);var n=Number(e[1]);r?this.xSteps.push(!isNaN(n)&&n):isNaN(n)||(this.xSteps[0]=n),this.xHighestCompleteStep.push(0)},t.prototype.handleStepPoint=function(t,e){if(e)if(this.xVal[t]!==this.xVal[t+1]){this.xSteps[t]=g([this.xVal[t],this.xVal[t+1]],e,0)/m(this.xPct[t],this.xPct[t+1]);var r=(this.xVal[t+1]-this.xVal[t])/this.xNumSteps[t],n=Math.ceil(Number(r.toFixed(3))-1),i=this.xVal[t]+this.xNumSteps[t]*n;this.xHighestCompleteStep[t]=i}else this.xSteps[t]=this.xHighestCompleteStep[t]=this.xVal[t]},t}(),y={to:function(t){return void 0===t?\"\":t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"},E=\".__tooltips\",P=\".__aria\";function C(t,e){if(!a(e))throw new Error(\"noUiSlider: 'step' is not numeric.\");t.singleStep=e}function N(t,e){if(!a(e))throw new Error(\"noUiSlider: 'keyboardPageMultiplier' is not numeric.\");t.keyboardPageMultiplier=e}function V(t,e){if(!a(e))throw new Error(\"noUiSlider: 'keyboardMultiplier' is not numeric.\");t.keyboardMultiplier=e}function k(t,e){if(!a(e))throw new Error(\"noUiSlider: 'keyboardDefaultStep' is not numeric.\");t.keyboardDefaultStep=e}function M(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider: 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider: Missing 'min' or 'max' in 'range'.\");t.spectrum=new x(e,t.snap||!1,t.singleStep)}function A(t,e){if(e=c(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider: 'start' option is incorrect.\");t.handles=e.length,t.start=e}function U(t,e){if(\"boolean\"!=typeof e)throw new Error(\"noUiSlider: 'snap' option must be a boolean.\");t.snap=e}function D(t,e){if(\"boolean\"!=typeof e)throw new Error(\"noUiSlider: 'animate' option must be a boolean.\");t.animate=e}function O(t,e){if(\"number\"!=typeof e)throw new Error(\"noUiSlider: 'animationDuration' option must be a number.\");t.animationDuration=e}function L(t,e){var r,n=[!1];if(\"lower\"===e?e=[!0,!1]:\"upper\"===e&&(e=[!1,!0]),!0===e||!1===e){for(r=1;r1)throw new Error(\"noUiSlider: 'padding' option must not exceed 100% of the range.\")}}function F(t,e){switch(e){case\"ltr\":t.dir=0;break;case\"rtl\":t.dir=1;break;default:throw new Error(\"noUiSlider: 'direction' option was not recognized.\")}}function R(t,e){if(\"string\"!=typeof e)throw new Error(\"noUiSlider: 'behaviour' must be a string containing options.\");var r=e.indexOf(\"tap\")>=0,n=e.indexOf(\"drag\")>=0,i=e.indexOf(\"fixed\")>=0,o=e.indexOf(\"snap\")>=0,s=e.indexOf(\"hover\")>=0,a=e.indexOf(\"unconstrained\")>=0,l=e.indexOf(\"drag-all\")>=0;if(i){if(2!==t.handles)throw new Error(\"noUiSlider: 'fixed' behaviour must be used with 2 handles\");j(t,t.start[1]-t.start[0])}if(a&&(t.margin||t.limit))throw new Error(\"noUiSlider: 'unconstrained' behaviour cannot be used with margin or limit\");t.events={tap:r||o,drag:n,dragAll:l,fixed:i,snap:o,hover:s,unconstrained:a}}function _(t,e){if(!1!==e)if(!0===e||n(e)){t.tooltips=[];for(var r=0;r= 2) required for mode 'count'.\");for(var r=e.values-1,n=100/r,i=[];r--;)i[r]=r*n;return i.push(100),q(i,e.stepped)}return e.mode===t.PipsMode.Positions?q(e.values,e.stepped):e.mode===t.PipsMode.Values?e.stepped?e.values.map((function(t){return C.fromStepping(C.getStep(C.toStepping(t)))})):e.values:[]}(e),i={},o=C.xVal[0],s=C.xVal[C.xVal.length-1],a=!1,l=!1,u=0;return r=n.slice().sort((function(t,e){return t-e})),(n=r.filter((function(t){return!this[t]&&(this[t]=!0)}),{}))[0]!==o&&(n.unshift(o),a=!0),n[n.length-1]!==s&&(n.push(s),l=!0),n.forEach((function(r,o){var s,c,p,f,d,h,m,g,v,b,S=r,x=n[o+1],y=e.mode===t.PipsMode.Steps;for(y&&(s=C.xNumSteps[o]),s||(s=x-S),void 0===x&&(x=S),s=Math.max(s,1e-7),c=S;c<=x;c=Number((c+s).toFixed(7))){for(g=(d=(f=C.toStepping(c))-u)/(e.density||1),b=d/(v=Math.round(g)),p=1;p<=v;p+=1)i[(h=u+p*b).toFixed(5)]=[C.fromStepping(h),0];m=n.indexOf(c)>-1?t.PipsType.LargeValue:y?t.PipsType.SmallValue:t.PipsType.NoValue,!o&&a&&c!==x&&(m=0),c===x&&l||(i[f.toFixed(5)]=[c,m]),u=f}})),i}function Y(e,n,i){var o,s,a=U.createElement(\"div\"),l=((o={})[t.PipsType.None]=\"\",o[t.PipsType.NoValue]=r.cssClasses.valueNormal,o[t.PipsType.LargeValue]=r.cssClasses.valueLarge,o[t.PipsType.SmallValue]=r.cssClasses.valueSub,o),u=((s={})[t.PipsType.None]=\"\",s[t.PipsType.NoValue]=r.cssClasses.markerNormal,s[t.PipsType.LargeValue]=r.cssClasses.markerLarge,s[t.PipsType.SmallValue]=r.cssClasses.markerSub,s),c=[r.cssClasses.valueHorizontal,r.cssClasses.valueVertical],p=[r.cssClasses.markerHorizontal,r.cssClasses.markerVertical];function d(t,e){var n=e===r.cssClasses.value,i=n?l:u;return e+\" \"+(n?c:p)[r.ort]+\" \"+i[t]}return f(a,r.cssClasses.pips),f(a,0===r.ort?r.cssClasses.pipsHorizontal:r.cssClasses.pipsVertical),Object.keys(e).forEach((function(o){!function(e,o,s){if((s=n?n(o,s):s)!==t.PipsType.None){var l=T(a,!1);l.className=d(s,r.cssClasses.marker),l.style[r.style]=e+\"%\",s>t.PipsType.NoValue&&((l=T(a,!1)).className=d(s,r.cssClasses.value),l.setAttribute(\"data-value\",String(o)),l.style[r.style]=e+\"%\",l.innerHTML=String(i.to(o)))}}(o,e[o][0],e[o][1])})),a}function I(){g&&(i(g),g=null)}function W(t){I();var e=X(t),r=t.filter,n=t.format||{to:function(t){return String(Math.round(t))}};return g=w.appendChild(Y(e,r,n))}function $(){var t=a.getBoundingClientRect(),e=\"offset\"+[\"Width\",\"Height\"][r.ort];return 0===r.ort?t.width||a[e]:t.height||a[e]}function J(t,e,n,i){var o=function(o){var s,a,l=function(t,e,r){var n=0===t.type.indexOf(\"touch\"),i=0===t.type.indexOf(\"mouse\"),o=0===t.type.indexOf(\"pointer\"),s=0,a=0;if(0===t.type.indexOf(\"MSPointer\")&&(o=!0),\"mousedown\"===t.type&&!t.buttons&&!t.touches)return!1;if(n){var l=function(e){var n=e.target;return n===r||r.contains(n)||t.composed&&t.composedPath().shift()===r};if(\"touchstart\"===t.type){var u=Array.prototype.filter.call(t.touches,l);if(u.length>1)return!1;s=u[0].pageX,a=u[0].pageY}else{var c=Array.prototype.find.call(t.changedTouches,l);if(!c)return!1;s=c.pageX,a=c.pageY}}return e=e||h(U),(i||o)&&(s=t.clientX+e.x,a=t.clientY+e.y),t.pageOffset=e,t.points=[s,a],t.cursor=i||o,t}(o,i.pageOffset,i.target||e);return!!l&&!(F()&&!i.doNotReject)&&(s=w,a=r.cssClasses.tap,!((s.classList?s.classList.contains(a):new RegExp(\"\\\\b\"+a+\"\\\\b\").test(s.className))&&!i.doNotReject)&&!(t===x.start&&void 0!==l.buttons&&l.buttons>1)&&(!i.hover||!l.buttons)&&(y||l.preventDefault(),l.calcPoint=l.points[r.ort],void n(l,i)))},s=[];return t.split(\" \").forEach((function(t){e.addEventListener(t,o,!!y&&{passive:!0}),s.push([t,o])})),s}function K(t){var e,n,i,o,s,l,c=100*(t-(e=a,n=r.ort,i=e.getBoundingClientRect(),o=e.ownerDocument,s=o.documentElement,l=h(o),/webkit.*Chrome.*Mobile/i.test(navigator.userAgent)&&(l.x=0),n?i.top+l.y-s.clientTop:i.left+l.x-s.clientLeft))/$();return c=u(c),r.dir?100-c:c}function Q(t,e){\"mouseout\"===t.type&&\"HTML\"===t.target.nodeName&&null===t.relatedTarget&&tt(t,e)}function Z(t,e){if(-1===navigator.appVersion.indexOf(\"MSIE 9\")&&0===t.buttons&&0!==e.buttonsProperty)return tt(t,e);var n=(r.dir?-1:1)*(t.calcPoint-e.startCalcPoint);ut(n>0,100*n/e.baseSize,e.locations,e.handleNumbers,e.connect)}function tt(t,e){e.handle&&(d(e.handle,r.cssClasses.active),M-=1),e.listeners.forEach((function(t){D.removeEventListener(t[0],t[1])})),0===M&&(d(w,r.cssClasses.drag),pt(),t.cursor&&(O.style.cursor=\"\",O.removeEventListener(\"selectstart\",s))),e.handleNumbers.forEach((function(t){st(\"change\",t),st(\"set\",t),st(\"end\",t)}))}function et(t,e){if(!e.handleNumbers.some(R)){var n;1===e.handleNumbers.length&&(n=p[e.handleNumbers[0]].children[0],M+=1,f(n,r.cssClasses.active)),t.stopPropagation();var i=[],o=J(x.move,D,Z,{target:t.target,handle:n,connect:e.connect,listeners:i,startCalcPoint:t.calcPoint,baseSize:$(),pageOffset:t.pageOffset,handleNumbers:e.handleNumbers,buttonsProperty:t.buttons,locations:V.slice()}),a=J(x.end,D,tt,{target:t.target,handle:n,listeners:i,doNotReject:!0,handleNumbers:e.handleNumbers}),l=J(\"mouseout\",D,Q,{target:t.target,handle:n,listeners:i,doNotReject:!0,handleNumbers:e.handleNumbers});i.push.apply(i,o.concat(a,l)),t.cursor&&(O.style.cursor=getComputedStyle(t.target).cursor,p.length>1&&f(w,r.cssClasses.drag),O.addEventListener(\"selectstart\",s,!1)),e.handleNumbers.forEach((function(t){st(\"start\",t)}))}}function rt(t){t.stopPropagation();var e=K(t.calcPoint),n=function(t){var e=100,r=!1;return p.forEach((function(n,i){if(!R(i)){var o=V[i],s=Math.abs(o-t);(so||100===s&&100===e)&&(r=i,e=s)}})),r}(e);!1!==n&&(r.events.snap||l(w,r.cssClasses.tap,r.animationDuration),ft(n,e,!0,!0),pt(),st(\"slide\",n,!0),st(\"update\",n,!0),r.events.snap?et(t,{handleNumbers:[n]}):(st(\"change\",n,!0),st(\"set\",n,!0)))}function nt(t){var e=K(t.calcPoint),r=C.getStep(e),n=C.fromStepping(r);Object.keys(A).forEach((function(t){\"hover\"===t.split(\".\")[0]&&A[t].forEach((function(t){t.call(bt,n)}))}))}function it(t,e){A[t]=A[t]||[],A[t].push(e),\"update\"===t.split(\".\")[0]&&p.forEach((function(t,e){st(\"update\",e)}))}function ot(t){var e=t&&t.split(\".\")[0],r=e?t.substring(e.length):t;Object.keys(A).forEach((function(t){var n=t.split(\".\")[0],i=t.substring(n.length);e&&e!==n||r&&r!==i||function(t){return t===P||t===E}(i)&&r!==i||delete A[t]}))}function st(t,e,n){Object.keys(A).forEach((function(i){var o=i.split(\".\")[0];t===o&&A[i].forEach((function(t){t.call(bt,N.map(r.format.to),e,N.slice(),n||!1,V.slice(),bt)}))}))}function at(t,e,n,i,o,s){var a;return p.length>1&&!r.events.unconstrained&&(i&&e>0&&(a=C.getAbsoluteDistance(t[e-1],r.margin,!1),n=Math.max(n,a)),o&&e1&&r.limit&&(i&&e>0&&(a=C.getAbsoluteDistance(t[e-1],r.limit,!1),n=Math.min(n,a)),o&&e1?n.forEach((function(t,r){var n=at(o,t,o[t]+e,a[r],l[r],!1);!1===n?e=0:(e=n-o[t],o[t]=n)})):a=l=[!0];var u=!1;n.forEach((function(t,n){u=ft(t,r[t]+e,a[n],l[n])||u})),u&&(n.forEach((function(t){st(\"update\",t),st(\"slide\",t)})),null!=i&&st(\"drag\",s))}function ct(t,e){return r.dir?100-t-e:t}function pt(){k.forEach((function(t){var e=V[t]>50?-1:1,r=3+(p.length+e*t);p[t].style.zIndex=String(r)}))}function ft(t,e,n,i,o){return o||(e=at(V,t,e,n,i,!1)),!1!==e&&(function(t,e){V[t]=e,N[t]=C.fromStepping(e);var n=\"translate(\"+lt(10*(ct(e,0)-L)+\"%\",\"0\")+\")\";p[t].style[r.transformRule]=n,dt(t),dt(t+1)}(t,e),!0)}function dt(t){if(m[t]){var e=0,n=100;0!==t&&(e=V[t-1]),t!==m.length-1&&(n=V[t]);var i=n-e,o=\"translate(\"+lt(ct(e,i)+\"%\",\"0\")+\")\",s=\"scale(\"+lt(i/100,\"1\")+\")\";m[t].style[r.transformRule]=o+\" \"+s}}function ht(t,e){return null===t||!1===t||void 0===t?V[e]:(\"number\"==typeof t&&(t=String(t)),!1!==(t=r.format.from(t))&&(t=C.toStepping(t)),!1===t||isNaN(t)?V[e]:t)}function mt(t,e,n){var i=c(t),o=void 0===V[0];e=void 0===e||e,r.animate&&!o&&l(w,r.cssClasses.tap,r.animationDuration),k.forEach((function(t){ft(t,ht(i[t],t),!0,!1,n)}));var s=1===k.length?0:1;if(o&&C.hasNoSize()&&(n=!0,V[0]=0,k.length>1)){var a=100/(k.length-1);k.forEach((function(t){V[t]=t*a}))}for(;sn.stepAfter.startValue&&(o=n.stepAfter.startValue-i),s=i>n.thisStep.startValue?n.thisStep.step:!1!==n.stepBefore.step&&i-n.stepBefore.highestStep,100===e?o=null:0===e&&(s=null);var a=C.countStepDecimals();return null!==o&&!1!==o&&(o=Number(o.toFixed(a))),null!==s&&!1!==s&&(s=Number(s.toFixed(a))),[s,o]}f(b=w,r.cssClasses.target),0===r.dir?f(b,r.cssClasses.ltr):f(b,r.cssClasses.rtl),0===r.ort?f(b,r.cssClasses.horizontal):f(b,r.cssClasses.vertical),f(b,\"rtl\"===getComputedStyle(b).direction?r.cssClasses.textDirectionRtl:r.cssClasses.textDirectionLtr),a=T(b,r.cssClasses.base),function(t,e){var n=T(e,r.cssClasses.connects);p=[],(m=[]).push(z(n,t[0]));for(var i=0;i=0&&t .noUi-tooltip{-webkit-transform:translate(50%, 0);transform:translate(50%, 0);left:auto;bottom:10px;}.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip{-webkit-transform:translate(0, -18px);transform:translate(0, -18px);top:auto;right:28px;}.bk-root .noUi-handle{cursor:grab;cursor:-webkit-grab;}.bk-root .noUi-handle.noUi-active{cursor:grabbing;cursor:-webkit-grabbing;}.bk-root .noUi-handle:after,.bk-root .noUi-handle:before{display:none;}.bk-root .noUi-tooltip{display:none;white-space:nowrap;}.bk-root .noUi-handle:hover .noUi-tooltip{display:block;}.bk-root .noUi-horizontal{width:100%;height:10px;}.bk-root .noUi-vertical{width:10px;height:100%;}.bk-root .noUi-horizontal .noUi-handle{width:14px;height:18px;right:-7px;top:-5px;}.bk-root .noUi-vertical .noUi-handle{width:18px;height:14px;right:-5px;top:-7px;}.bk-root .noUi-target.noUi-horizontal{margin:5px 0px;}.bk-root .noUi-target.noUi-vertical{margin:0px 5px;}'},\n 465: function _(e,t,r,a,i){a();var s;const d=(0,e(1).__importDefault)(e(151)),o=e(461),_=e(8);class n extends o.AbstractSliderView{}r.DateSliderView=n,n.__name__=\"DateSliderView\";class c extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,_.isString)(t)?(0,d.default)(e,t):t.compute(e)}}r.DateSlider=c,s=c,c.__name__=\"DateSlider\",s.prototype.default_view=n,s.override({format:\"%d %b %Y\"})},\n 466: function _(e,t,r,a,i){a();var n;const s=(0,e(1).__importDefault)(e(151)),d=e(461),o=e(8);class _ extends d.AbstractRangeSliderView{}r.DatetimeRangeSliderView=_,_.__name__=\"DatetimeRangeSliderView\";class c extends d.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,t){return(0,o.isString)(t)?(0,s.default)(e,t):t.compute(e)}}r.DatetimeRangeSlider=c,n=c,c.__name__=\"DatetimeRangeSlider\",n.prototype.default_view=_,n.override({format:\"%d %b %Y %H:%M:%S\",step:36e5})},\n 467: function _(e,t,s,r,i){var _;r();const n=e(468);class a extends 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 468: 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(512),_=(0,a.__importStar)(t(469));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 469: 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 470: function _(e,t,i,n,s){n();const o=e(1);var l;const r=e(441),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 HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,_.undisplay)(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new d.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=(0,u.isString)(t)?t:t[1];(0,u.isString)(i)?this.model.trigger_event(new d.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class a extends r.AbstractButton{constructor(e){super(e)}get is_split(){return this.split}}i.Dropdown=a,l=a,a.__name__=\"Dropdown\",l.prototype.default_view=p,l.define((({Null:e,Boolean:t,String:i,Array:n,Tuple:s,Or:o})=>({split:[t,!1],menu:[n(o(i,s(i,o(i)),e)),[]]}))),l.override({label:\"Dropdown\"})},\n 471: function _(e,l,i,t,s){var n;t();const a=e(43),o=e(512);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 472: function _(e,t,i,s,n){s();const l=e(1);var o;const r=e(43),c=e(8),h=e(448),p=(0,l.__importStar)(e(449));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 this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.input_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.input_el.focus()}}i.MultiSelectView=d,d.__name__=\"MultiSelectView\";class u extends h.InputWidget{constructor(e){super(e)}}i.MultiSelect=u,o=u,u.__name__=\"MultiSelect\",o.prototype.default_view=d,o.define((({Int:e,String:t,Array:i,Tuple:s,Or:n})=>({value:[i(t),[]],options:[i(n(t,s(t,t))),[]],size:[e,4]})))},\n 473: function _(e,a,r,t,s){var n;t();const p=e(468),_=e(43);class i extends p.MarkupView{render(){super.render();const e=(0,_.p)({style:{margin:0}});this.has_math_disabled()?e.textContent=this.model.text:e.innerHTML=this.process_tex(),this.markup_el.appendChild(e)}}r.ParagraphView=i,i.__name__=\"ParagraphView\";class h extends p.Markup{constructor(e){super(e)}}r.Paragraph=h,n=h,h.__name__=\"Paragraph\",n.prototype.default_view=i},\n 474: function _(e,s,t,n,r){var p;n();const u=e(446);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 475: function _(e,t,i,l,s){l();const o=e(1);var n;const h=(0,o.__importDefault)(e(476)),a=e(43),u=e(8),c=e(210),_=(0,o.__importStar)(e(449)),d=(0,o.__importDefault)(e(477)),r=e(448);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,search_option_limit:l,delete_button:s,placeholder:o,options:n,name:h,title:a}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h,a],(()=>this.render()))}styles(){return[...super.styles(),d.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:_.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 ${i}`,o={choices:t,duplicateItemsAllowed:!1,removeItemButton:this.model.delete_button,classNames:{item:l,button:s}};null!=this.model.placeholder&&(o.placeholderValue=this.model.placeholder),null!=this.model.max_items&&(o.maxItemCount=this.model.max_items),null!=this.model.option_limit&&(o.renderChoiceLimit=this.model.option_limit),null!=this.model.search_option_limit&&(o.searchResultLimit=this.model.search_option_limit),this.choice_el=new h.default(this.input_el,o);const n=()=>this.choice_el.containerOuter.element.getBoundingClientRect().height;null!=this._last_height&&this._last_height!=n()&&this.root.invalidate_layout(),this._last_height=n(),this.input_el.addEventListener(\"change\",(()=>this.change_input()))}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.input_el.focus()}}i.MultiChoiceView=m,m.__name__=\"MultiChoiceView\";class p extends r.InputWidget{constructor(e){super(e)}}i.MultiChoice=p,n=p,p.__name__=\"MultiChoice\",n.prototype.default_view=m,n.define((({Boolean:e,Int:t,String:i,Array:l,Tuple:s,Or:o,Nullable:n})=>({value:[l(i),[]],options:[l(o(i,s(i,i))),[]],max_items:[n(t),null],delete_button:[e,!0],placeholder:[n(i),null],option_limit:[n(t),null],search_option_limit:[n(t),null],solid:[e,!0]})))},\n 476: function _(e,t,i,n,s){\n /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n var r,o;r=window,o=function(){return function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"/public/assets/scripts/\",i(i.s=4)}([function(e,t,i){\"use strict\";var n=function(e){return function(e){return!!e&&\"object\"==typeof e}(e)&&!function(e){var t=Object.prototype.toString.call(e);return\"[object RegExp]\"===t||\"[object Date]\"===t||function(e){return e.$$typeof===s}(e)}(e)},s=\"function\"==typeof Symbol&&Symbol.for?Symbol.for(\"react.element\"):60103;function r(e,t){return!1!==t.clone&&t.isMergeableObject(e)?l((i=e,Array.isArray(i)?[]:{}),e,t):e;var i}function o(e,t,i){return e.concat(t).map((function(e){return r(e,i)}))}function a(e){return Object.keys(e).concat(function(e){return Object.getOwnPropertySymbols?Object.getOwnPropertySymbols(e).filter((function(t){return e.propertyIsEnumerable(t)})):[]}(e))}function c(e,t,i){var n={};return i.isMergeableObject(e)&&a(e).forEach((function(t){n[t]=r(e[t],i)})),a(t).forEach((function(s){(function(e,t){try{return t in e&&!(Object.hasOwnProperty.call(e,t)&&Object.propertyIsEnumerable.call(e,t))}catch(e){return!1}})(e,s)||(i.isMergeableObject(t[s])&&e[s]?n[s]=function(e,t){if(!t.customMerge)return l;var i=t.customMerge(e);return\"function\"==typeof i?i:l}(s,i)(e[s],t[s],i):n[s]=r(t[s],i))})),n}function l(e,t,i){(i=i||{}).arrayMerge=i.arrayMerge||o,i.isMergeableObject=i.isMergeableObject||n,i.cloneUnlessOtherwiseSpecified=r;var s=Array.isArray(t);return s===Array.isArray(e)?s?i.arrayMerge(e,t,i):c(e,t,i):r(t,i)}l.all=function(e,t){if(!Array.isArray(e))throw new Error(\"first argument should be an array\");return e.reduce((function(e,i){return l(e,i,t)}),{})};var h=l;e.exports=h},function(e,t,i){\"use strict\";(function(e,n){var s,r=i(3);s=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==e?e:n;var o=Object(r.a)(s);t.a=o}).call(this,i(5),i(6)(e))},function(e,t,i){\n /*!\n * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n *\n * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n * All Rights Reserved. Apache Software License 2.0\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n */\n e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"\",i(i.s=1)}([function(e,t){e.exports=function(e){return Array.isArray?Array.isArray(e):\"[object Array]\"===Object.prototype.toString.call(e)}},function(e,t,i){function n(e){return(n=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&\"function\"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e})(e)}function s(e,t){for(var i=0;i1&&void 0!==arguments[1]?arguments[1]:{limit:!1};this._log('---------\\nSearch pattern: \"'.concat(e,'\"'));var i=this._prepareSearchers(e),n=i.tokenSearchers,s=i.fullSearcher,r=this._search(n,s),o=r.weights,a=r.results;return this._computeScore(o,a),this.options.shouldSort&&this._sort(a),t.limit&&\"number\"==typeof t.limit&&(a=a.slice(0,t.limit)),this._format(a)}},{key:\"_prepareSearchers\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:\"\",t=[];if(this.options.tokenize)for(var i=e.split(this.options.tokenSeparator),n=0,s=i.length;n0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r1)throw new Error(\"Key weight has to be > 0 and <= 1\");p=p.name}else a[p]={weight:1};this._analyze({key:p,value:this.options.getFn(h,p),record:h,index:c},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t})}return{weights:a,results:s}}},{key:\"_analyze\",value:function(e,t){var i=e.key,n=e.arrayIndex,s=void 0===n?-1:n,r=e.value,o=e.record,c=e.index,l=t.tokenSearchers,h=void 0===l?[]:l,u=t.fullSearcher,d=void 0===u?[]:u,p=t.resultMap,m=void 0===p?{}:p,f=t.results,v=void 0===f?[]:f;if(null!=r){var g=!1,_=-1,b=0;if(\"string\"==typeof r){this._log(\"\\nKey: \".concat(\"\"===i?\"-\":i));var y=d.search(r);if(this._log('Full text: \"'.concat(r,'\", score: ').concat(y.score)),this.options.tokenize){for(var E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),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 479: function _(e,t,r,s,n){var a;s();const o=e(468),_=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 480: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(452),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 481: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(455),r=(0,s.__importStar)(e(449));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 482: function _(e,r,t,a,i){a();var n;const o=(0,e(1).__importStar)(e(153)),s=e(461),_=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 483: function _(e,t,n,s,i){s();const l=e(1);var u;const a=e(43),o=e(8),p=e(13),_=e(448),r=(0,l.__importStar)(e(449));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 484: function _(e,t,r,i,a){i();var o;const s=(0,e(1).__importStar)(e(153)),_=e(461),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 485: function _(e,t,i,n,s){var l;n();const o=e(478),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 486: function _(e,t,s,n,i){n();const o=e(1);var r;const c=e(447),l=e(43),p=(0,o.__importStar)(e(449));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 487: function _(e,t,s,c,i){c();const o=e(1);var a;const n=e(441),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 }, 439, {\"models/widgets/main\":439,\"models/widgets/index\":440,\"models/widgets/abstract_button\":441,\"models/widgets/control\":442,\"models/widgets/widget\":512,\"models/widgets/abstract_icon\":444,\"models/widgets/autocomplete_input\":445,\"models/widgets/text_input\":446,\"models/widgets/text_like_input\":447,\"models/widgets/input_widget\":448,\"styles/widgets/inputs.css\":449,\"models/widgets/button\":450,\"models/widgets/checkbox_button_group\":451,\"models/widgets/button_group\":452,\"models/widgets/oriented_control\":453,\"models/widgets/checkbox_group\":454,\"models/widgets/input_group\":455,\"models/widgets/color_picker\":456,\"models/widgets/date_picker\":457,\"styles/widgets/flatpickr.css\":459,\"models/widgets/date_range_slider\":460,\"models/widgets/abstract_slider\":461,\"styles/widgets/sliders.css\":463,\"styles/widgets/nouislider.css\":464,\"models/widgets/date_slider\":465,\"models/widgets/datetime_range_slider\":466,\"models/widgets/div\":467,\"models/widgets/markup\":468,\"styles/clearfix.css\":469,\"models/widgets/dropdown\":470,\"models/widgets/file_input\":471,\"models/widgets/multiselect\":472,\"models/widgets/paragraph\":473,\"models/widgets/password_input\":474,\"models/widgets/multichoice\":475,\"styles/widgets/choices.css\":477,\"models/widgets/numeric_input\":478,\"models/widgets/pretext\":479,\"models/widgets/radio_button_group\":480,\"models/widgets/radio_group\":481,\"models/widgets/range_slider\":482,\"models/widgets/selectbox\":483,\"models/widgets/slider\":484,\"models/widgets/spinner\":485,\"models/widgets/textarea_input\":486,\"models/widgets/toggle\":487}, {});});\n\n /* END bokeh-widgets.min.js */\n },\n function(Bokeh) {\n /* BEGIN bokeh-tables.min.js */\n /*!\n * Copyright (c) 2012 - 2022, 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\"], \"2.4.3\");\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 488: function _(t,e,o,r,s){r();const _=(0,t(1).__importStar)(t(489));o.Tables=_;(0,t(7).register_models)(_)},\n 489: function _(g,a,r,e,t){e();const o=g(1);(0,o.__exportStar)(g(490),r),(0,o.__exportStar)(g(493),r),t(\"DataTable\",g(496).DataTable),t(\"TableColumn\",g(514).TableColumn),t(\"TableWidget\",g(513).TableWidget);var n=g(516);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(517);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n 490: 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(491),v=(0,r.__importStar)(e(492));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 w{_createInput(){return(0,E.input)({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=F,F.__name__=\"DateEditorView\";class L extends g{}i.DateEditor=L,h=L,L.__name__=\"DateEditor\",h.prototype.default_view=F},\n 491: function _(_,n,i,t,d){t(),i.DTINDEX_NAME=\"__bkdt_internal_index__\"},\n 492: function _(e,l,o,t,r){t(),o.root=\"bk-root\",o.data_table=\"bk-data-table\",o.cell_special_defaults=\"bk-cell-special-defaults\",o.cell_select=\"bk-cell-select\",o.cell_index=\"bk-cell-index\",o.header_index=\"bk-header-index\",o.cell_editor=\"bk-cell-editor\",o.cell_editor_completion=\"bk-cell-editor-completion\",o.default='.bk-root .bk-data-table{box-sizing:content-box;font-size:11px;}.bk-root .bk-data-table input[type=\"checkbox\"]{margin-left:4px;margin-right:4px;}.bk-root .bk-cell-special-defaults{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .bk-cell-select{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .slick-cell.bk-cell-index{border-right-color:silver;border-right-style:solid;background:#f5f5f5;text-align:right;background:#f0f0f0;color:#909090;}.bk-root .bk-header-index .slick-column-name{float:right;}.bk-root .slick-row.selected .bk-cell-index{background-color:transparent;}.bk-root .slick-row.odd{background:#f0f0f0;}.bk-root .slick-cell{padding-left:4px;padding-right:4px;border-right-color:transparent;border:0.25px solid transparent;}.bk-root .slick-cell .bk{line-height:inherit;}.bk-root .slick-cell.active{border-style:dashed;}.bk-root .slick-cell.selected{background-color:#F0F8FF;}.bk-root .slick-cell.editable{padding-left:0;padding-right:0;}.bk-root .bk-cell-editor{display:contents;}.bk-root .bk-cell-editor input,.bk-root .bk-cell-editor select{width:100%;height:100%;border:0;margin:0;padding:0;outline:0;background:transparent;vertical-align:baseline;}.bk-root .bk-cell-editor input{padding-left:4px;padding-right:4px;}.bk-root .bk-cell-editor-completion{font-size:11px;}'},\n 493: function _(t,e,r,n,o){n();const a=t(1);var s,i,l,c,u,m;const _=(0,a.__importDefault)(t(151)),d=(0,a.__importStar)(t(153)),f=t(494),g=t(43),F=t(20),h=t(8),p=t(34),S=t(22),x=t(53);class b extends x.Model{constructor(t){super(t)}doFormat(t,e,r,n,o){return null==r?\"\":`${r}`.replace(/&/g,\"&\").replace(//g,\">\")}}r.CellFormatter=b,b.__name__=\"CellFormatter\";class M extends b{constructor(t){super(t)}doFormat(t,e,r,n,o){const{font_style:a,text_align:s,text_color:i}=this,l=(0,g.div)(null==r?\"\":`${r}`);switch(a){case\"bold\":l.style.fontWeight=\"bold\";break;case\"italic\":l.style.fontStyle=\"italic\"}return null!=s&&(l.style.textAlign=s),null!=i&&(l.style.color=(0,S.color2css)(i)),l.outerHTML}}r.StringFormatter=M,s=M,M.__name__=\"StringFormatter\",s.define((({Color:t,Nullable:e,String:r})=>({font_style:[F.FontStyle,\"normal\"],text_align:[F.TextAlign,\"left\"],text_color:[e(t),null],nan_format:[r,\"-\"]})));class w extends M{constructor(t){super(t)}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}doFormat(t,e,r,n,o){const a=Math.abs(r)<=this.scientific_limit_low||Math.abs(r)>=this.scientific_limit_high;let s=this.precision;return s<1&&(s=1),r=null==r||isNaN(r)?this.nan_format:0==r?(0,p.to_fixed)(r,1):a?r.toExponential(s):(0,p.to_fixed)(r,s),super.doFormat(t,e,r,n,o)}}r.ScientificFormatter=w,i=w,w.__name__=\"ScientificFormatter\",i.define((({Number:t})=>({precision:[t,10],power_limit_high:[t,5],power_limit_low:[t,-3]})));class C extends M{constructor(t){super(t)}doFormat(t,e,r,n,o){const{format:a,language:s,nan_format:i}=this,l=(()=>{switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}})();return r=null==r||isNaN(r)?i:d.format(r,a,s,l),super.doFormat(t,e,r,n,o)}}r.NumberFormatter=C,l=C,C.__name__=\"NumberFormatter\",l.define((({String:t})=>({format:[t,\"0,0\"],language:[t,\"en\"],rounding:[F.RoundingFunction,\"round\"]})));class y extends b{constructor(t){super(t)}doFormat(t,e,r,n,o){return r?(0,g.i)({class:this.icon}).outerHTML:\"\"}}r.BooleanFormatter=y,c=y,y.__name__=\"BooleanFormatter\",c.define((({String:t})=>({icon:[t,\"check\"]})));class N extends M{constructor(t){super(t)}getFormat(){switch(this.format){case\"ATOM\":case\"W3C\":case\"RFC-3339\":case\"ISO-8601\":return\"%Y-%m-%d\";case\"COOKIE\":return\"%a, %d %b %Y\";case\"RFC-850\":return\"%A, %d-%b-%y\";case\"RFC-1123\":case\"RFC-2822\":return\"%a, %e %b %Y\";case\"RSS\":case\"RFC-822\":case\"RFC-1036\":return\"%a, %e %b %y\";case\"TIMESTAMP\":return;default:return this.format}}doFormat(t,e,r,n,o){const{nan_format:a}=this;let s;return s=null==(r=(0,h.isString)(r)?parseInt(r,10):r)||isNaN(r)||-9223372036854776===r?a:(0,_.default)(r,this.getFormat()),super.doFormat(t,e,s,n,o)}}r.DateFormatter=N,u=N,N.__name__=\"DateFormatter\",u.define((({String:t})=>({format:[t,\"ISO-8601\"]})));class T extends b{constructor(t){super(t)}doFormat(t,e,r,n,o){const{template:a}=this;if(null==r)return\"\";return f._.template(a)(Object.assign(Object.assign({},o),{value:r}))}}r.HTMLTemplateFormatter=T,m=T,T.__name__=\"HTMLTemplateFormatter\",m.define((({String:t})=>({template:[t,\"<%= value %>\"]})))},\n 494: function _(e,n,t,f,i){var o=e(495),d=o.template;function r(e,n,t){return d(e,n,t)}r._=o,n.exports=r,\"function\"==typeof define&&define.amd?define((function(){return r})):\"undefined\"==typeof window&&\"undefined\"==typeof navigator||(window.UnderscoreTemplate=r)},\n 495: function _(r,e,n,t,a){\n // (c) 2009-2013 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n // Underscore may be freely distributed under the MIT license.\n var u={},c=Array.prototype,o=Object.prototype,l=c.slice,i=o.toString,f=o.hasOwnProperty,s=c.forEach,p=Object.keys,_=Array.isArray,h=function(){},v=h.each=h.forEach=function(r,e,n){if(null!=r)if(s&&r.forEach===s)r.forEach(e,n);else if(r.length===+r.length){for(var t=0,a=r.length;t\":\">\",'\"':\""\",\"'\":\"'\"}},y={escape:new RegExp(\"[\"+h.keys(g.escape).join(\"\")+\"]\",\"g\")};h.each([\"escape\"],(function(r){h[r]=function(e){return null==e?\"\":(\"\"+e).replace(y[r],(function(e){return g[r][e]}))}})),h.templateSettings={evaluate:/<%([\\s\\S]+?)%>/g,interpolate:/<%=([\\s\\S]+?)%>/g,escape:/<%-([\\s\\S]+?)%>/g};var j=/(.)^/,b={\"'\":\"'\",\"\\\\\":\"\\\\\",\"\\r\":\"r\",\"\\n\":\"n\",\"\\t\":\"t\",\"\\u2028\":\"u2028\",\"\\u2029\":\"u2029\"},w=/\\\\|'|\\r|\\n|\\t|\\u2028|\\u2029/g;h.template=function(r,e,n){var t;n=h.defaults({},n,h.templateSettings);var a=new RegExp([(n.escape||j).source,(n.interpolate||j).source,(n.evaluate||j).source].join(\"|\")+\"|$\",\"g\"),u=0,c=\"__p+='\";r.replace(a,(function(e,n,t,a,o){return c+=r.slice(u,o).replace(w,(function(r){return\"\\\\\"+b[r]})),n&&(c+=\"'+\\n((__t=(\"+n+\"))==null?'':_.escape(__t))+\\n'\"),t&&(c+=\"'+\\n((__t=(\"+t+\"))==null?'':__t)+\\n'\"),a&&(c+=\"';\\n\"+a+\"\\n__p+='\"),u=o+e.length,e})),c+=\"';\\n\",n.variable||(c=\"with(obj||{}){\\n\"+c+\"}\\n\"),c=\"var __t,__p='',__j=Array.prototype.join,print=function(){__p+=__j.call(arguments,'');};\\n\"+c+\"return __p;\\n\";try{t=new Function(n.variable||\"obj\",\"_\",c)}catch(r){throw r.source=c,r}if(e)return t(e,h);var o=function(r){return t.call(this,r,h)};return o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=h},\n 496: function _(e,t,i,s,o){s();const n=e(1);var l;const r=e(497),d=e(501),a=e(502),h=e(503),u=e(34),c=e(8),_=e(9),m=e(13),g=e(19),p=e(512),f=e(491),b=e(513),w=e(514),x=(0,n.__importStar)(e(492)),C=x,v=(0,n.__importDefault)(e(515));i.AutosizeModes={fit_columns:\"FCV\",fit_viewport:\"FVC\",force_fit:\"LFF\",none:\"NOA\"};let z=!1;class A{constructor(e,t){this.init(e,t)}init(e,t){if(f.DTINDEX_NAME in e.data)throw new Error(`special name ${f.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=[...this.view.indices]}getLength(){return this.index.length}getItem(e){const t={};for(const i of(0,m.keys)(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[f.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==f.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getRecords(){return(0,_.range)(0,this.getLength()).map((e=>this.getItem(e)))}getItems(){return this.getRecords()}slice(e,t,i){return e=null!=e?e:0,t=null!=t?t:this.getLength(),i=null!=i?i:1,(0,_.range)(e,t,i).map((e=>this.getItem(e)))}sort(e){let t=e.map((e=>[e.sortCol.field,e.sortAsc?1:-1]));0==t.length&&(t=[[f.DTINDEX_NAME,1]]);const i=this.getRecords(),s=this.index.slice();this.index.sort(((e,o)=>{for(const[n,l]of t){const t=i[s.indexOf(e)][n],r=i[s.indexOf(o)][n];if(t!==r)return(0,c.isNumber)(t)&&(0,c.isNumber)(r)?l*(t-r||+isNaN(t)-+isNaN(r)):`${t}`>`${r}`?l:-l}return 0}))}}i.TableDataProvider=A,A.__name__=\"TableDataProvider\";class M extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._width=null}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render())),this.connect(this.model.source.streaming,(()=>this.updateGrid())),this.connect(this.model.source.patching,(()=>this.updateGrid())),this.connect(this.model.source.change,(()=>this.updateGrid())),this.connect(this.model.source.properties.data.change,(()=>this.updateGrid())),this.connect(this.model.source.selected.change,(()=>this.updateSelection())),this.connect(this.model.source.selected.properties.indices.change,(()=>this.updateSelection()));for(const e of this.model.columns)this.connect(e.change,(()=>{this.invalidate_layout(),this.render()}))}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),v.default,x.default]}update_position(){super.update_position(),this.grid.resizeCanvas()}after_layout(){super.after_layout(),this.updateLayout(!0,!1)}box_sizing(){const e=super.box_sizing();return\"fit_viewport\"===this.model.autosize_mode&&null!=this._width&&(e.width=this._width),e}updateLayout(e,t){const s=this.autosize;s===i.AutosizeModes.fit_columns||s===i.AutosizeModes.force_fit?(e||this.grid.resizeCanvas(),this.grid.autosizeColumns()):e&&t&&s===i.AutosizeModes.fit_viewport&&this.invalidate_layout()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map((t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc})));this.data.sort(t)}this.grid.invalidate(),this.updateLayout(!0,!0)}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map((e=>this.data.index.indexOf(e))).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:(0,u.uniqueId)(),name:this.model.index_header,field:f.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:C.cell_index,headerCssClass:C.header_index}}css_classes(){return super.css_classes().concat(C.data_table)}get autosize(){let e;return e=!0===this.model.fit_columns?i.AutosizeModes.force_fit:!1===this.model.fit_columns?i.AutosizeModes.none:i.AutosizeModes[this.model.autosize_mode],e}render(){var e;const t=this.model.columns.filter((e=>e.visible)).map((e=>Object.assign(Object.assign({},e.toColumn()),{parent:this})));let s=null;if(\"checkbox\"==this.model.selectable&&(s=new d.CheckboxSelectColumn({cssClass:C.cell_select}),t.unshift(s.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:o}=this.model;!o||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(z||(g.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),z=!0),o=!1);let n=-1,l=!1;const{frozen_rows:u,frozen_columns:_}=this.model,m=null==_?-1:_-1;null!=u&&(l=u<0,n=Math.abs(u));const p={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:o,autosizeColsMode:this.autosize,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:this.model.auto_edit,autoHeight:!1,rowHeight:this.model.row_height,frozenColumn:m,frozenRow:n,frozenBottom:l},f=null!=this.grid;if(this.data=new A(this.model.source,this.model.view),this.grid=new h.Grid(this.el,this.data,t,p),this.autosize==i.AutosizeModes.fit_viewport){this.grid.autosizeColumns();let i=0;for(const s of t)i+=null!==(e=s.width)&&void 0!==e?e:0;this._width=Math.ceil(i)}if(this.grid.onSort.subscribe(((e,t)=>{if(!this.model.sortable)return;const i=t.sortCols;null!=i&&(this.data.sort(i),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(i))})),!1!==this.model.selectable){this.grid.setSelectionModel(new r.RowSelectionModel({selectActiveRow:null==s})),null!=s&&this.grid.registerPlugin(s);const e={dataItemColumnValueExtractor(e,t){let i=e[t.field];return(0,c.isString)(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new a.CellExternalCopyManager(e)),this.grid.onSelectedRowsChanged.subscribe(((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map((e=>this.data.index[e])))})),this.updateSelection(),this.model.header_row||this._hide_header()}f&&this.updateLayout(f,!1)}_hide_header(){for(const e of this.el.querySelectorAll(\".slick-header-columns\"))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=M,M.__name__=\"DataTableView\";class D extends b.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}update_sort_columns(e){this._sort_columns=e.map((({sortCol:e,sortAsc:t})=>({field:e.field,sortAsc:t})))}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?(0,_.some)(t,(t=>e.top<=t&&t<=e.bottom))?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,l=D,D.__name__=\"DataTable\",l.prototype.default_view=M,l.define((({Array:e,Boolean:t,Int:i,Ref:s,String:o,Enum:n,Or:l,Nullable:r})=>({autosize_mode:[n(\"fit_columns\",\"fit_viewport\",\"none\",\"force_fit\"),\"force_fit\"],auto_edit:[t,!1],columns:[e(s(w.TableColumn)),[]],fit_columns:[r(t),null],frozen_columns:[r(i),null],frozen_rows:[r(i),null],sortable:[t,!0],reorderable:[t,!0],editable:[t,!1],selectable:[l(t,n(\"checkbox\")),!0],index_position:[r(i),0],index_header:[o,\"#\"],index_width:[i,40],scroll_to_selection:[t,!0],header_row:[t,!0],row_height:[i,25]}))),l.override({width:600,height:400})},\n 497: function _(e,t,n,o,r){var l=e(498),i=e(500);t.exports={RowSelectionModel:function(e){var t,n,o,r=[],c=this,u=new i.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n=0&&r0&&t-1 in e)}w.fn=w.prototype={jquery:b,constructor:w,length:0,toArray:function(){return i.call(this)},get:function(e){return null==e?i.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=w.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return w.each(this,e)},map:function(e){return this.pushStack(w.map(this,(function(t,n){return e.call(t,n,t)})))},slice:function(){return this.pushStack(i.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(w.grep(this,(function(e,t){return(t+1)%2})))},odd:function(){return this.pushStack(w.grep(this,(function(e,t){return t%2})))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(n>=0&&n+~]|[\\\\x20\\\\t\\\\r\\\\n\\\\f])[\\\\x20\\\\t\\\\r\\\\n\\\\f]*\"),U=new RegExp(M+\"|>\"),X=new RegExp(F),V=new RegExp(\"^\"+I+\"$\"),G={ID:new RegExp(\"^#(\"+I+\")\"),CLASS:new RegExp(\"^\\\\.(\"+I+\")\"),TAG:new RegExp(\"^(\"+I+\"|[*])\"),ATTR:new RegExp(\"^\"+W),PSEUDO:new RegExp(\"^\"+F),CHILD:new RegExp(\"^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\\\([\\\\x20\\\\t\\\\r\\\\n\\\\f]*(even|odd|(([+-]|)(\\\\d*)n|)[\\\\x20\\\\t\\\\r\\\\n\\\\f]*(?:([+-]|)[\\\\x20\\\\t\\\\r\\\\n\\\\f]*(\\\\d+)|))[\\\\x20\\\\t\\\\r\\\\n\\\\f]*\\\\)|)\",\"i\"),bool:new RegExp(\"^(?:\"+R+\")$\",\"i\"),needsContext:new RegExp(\"^[\\\\x20\\\\t\\\\r\\\\n\\\\f]*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\\\([\\\\x20\\\\t\\\\r\\\\n\\\\f]*((?:-\\\\d)?\\\\d*)[\\\\x20\\\\t\\\\r\\\\n\\\\f]*\\\\)|)(?=[^-]|$)\",\"i\")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\\d$/i,K=/^[^{]+\\{\\s*\\[native \\w/,Z=/^(?:#([\\w-]+)|(\\w+)|\\.([\\w-]+))$/,ee=/[+~]/,te=new RegExp(\"\\\\\\\\[\\\\da-fA-F]{1,6}[\\\\x20\\\\t\\\\r\\\\n\\\\f]?|\\\\\\\\([^\\\\r\\\\n\\\\f])\",\"g\"),ne=function(e,t){var n=\"0x\"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\\0-\\x1f\\x7f]|^-?\\d)|^-$|[^\\0-\\x1f\\x7f-\\uFFFF\\w-]/g,ie=function(e,t){return t?\"\\0\"===e?\"\\ufffd\":e.slice(0,-1)+\"\\\\\"+e.charCodeAt(e.length-1).toString(16)+\" \":\"\\\\\"+e},oe=function(){p()},ae=be((function(e){return!0===e.disabled&&\"fieldset\"===e.nodeName.toLowerCase()}),{dir:\"parentNode\",next:\"legend\"});try{H.apply(D=O.call(w.childNodes),w.childNodes),D[w.childNodes.length].nodeType}catch(e){H={apply:D.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){for(var n=e.length,r=0;e[n++]=t[r++];);e.length=n-1}}}function se(e,t,r,i){var o,s,l,c,f,h,y,m=t&&t.ownerDocument,w=t?t.nodeType:9;if(r=r||[],\"string\"!=typeof e||!e||1!==w&&9!==w&&11!==w)return r;if(!i&&(p(t),t=t||d,g)){if(11!==w&&(f=Z.exec(e)))if(o=f[1]){if(9===w){if(!(l=t.getElementById(o)))return r;if(l.id===o)return r.push(l),r}else if(m&&(l=m.getElementById(o))&&x(t,l)&&l.id===o)return r.push(l),r}else{if(f[2])return H.apply(r,t.getElementsByTagName(e)),r;if((o=f[3])&&n.getElementsByClassName&&t.getElementsByClassName)return H.apply(r,t.getElementsByClassName(o)),r}if(n.qsa&&!A[e+\" \"]&&(!v||!v.test(e))&&(1!==w||\"object\"!==t.nodeName.toLowerCase())){if(y=e,m=t,1===w&&(U.test(e)||z.test(e))){for((m=ee.test(e)&&ye(t.parentNode)||t)===t&&n.scope||((c=t.getAttribute(\"id\"))?c=c.replace(re,ie):t.setAttribute(\"id\",c=b)),s=(h=a(e)).length;s--;)h[s]=(c?\"#\"+c:\":scope\")+\" \"+xe(h[s]);y=h.join(\",\")}try{return H.apply(r,m.querySelectorAll(y)),r}catch(t){A(e,!0)}finally{c===b&&t.removeAttribute(\"id\")}}}return u(e.replace($,\"$1\"),t,r,i)}function ue(){var e=[];return function t(n,i){return e.push(n+\" \")>r.cacheLength&&delete t[e.shift()],t[n+\" \"]=i}}function le(e){return e[b]=!0,e}function ce(e){var t=d.createElement(\"fieldset\");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){for(var n=e.split(\"|\"),i=n.length;i--;)r.attrHandle[n[i]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)for(;n=n.nextSibling;)if(n===t)return-1;return e?1:-1}function de(e){return function(t){return\"input\"===t.nodeName.toLowerCase()&&t.type===e}}function he(e){return function(t){var n=t.nodeName.toLowerCase();return(\"input\"===n||\"button\"===n)&&t.type===e}}function ge(e){return function(t){return\"form\"in t?t.parentNode&&!1===t.disabled?\"label\"in t?\"label\"in t.parentNode?t.parentNode.disabled===e:t.disabled===e:t.isDisabled===e||t.isDisabled!==!e&&ae(t)===e:t.disabled===e:\"label\"in t&&t.disabled===e}}function ve(e){return le((function(t){return t=+t,le((function(n,r){for(var i,o=e([],n.length,t),a=o.length;a--;)n[i=o[a]]&&(n[i]=!(r[i]=n[i]))}))}))}function ye(e){return e&&void 0!==e.getElementsByTagName&&e}for(t in n=se.support={},o=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||\"HTML\")},p=se.setDocument=function(e){var t,i,a=e?e.ownerDocument||e:w;return a!=d&&9===a.nodeType&&a.documentElement?(h=(d=a).documentElement,g=!o(d),w!=d&&(i=d.defaultView)&&i.top!==i&&(i.addEventListener?i.addEventListener(\"unload\",oe,!1):i.attachEvent&&i.attachEvent(\"onunload\",oe)),n.scope=ce((function(e){return h.appendChild(e).appendChild(d.createElement(\"div\")),void 0!==e.querySelectorAll&&!e.querySelectorAll(\":scope fieldset div\").length})),n.attributes=ce((function(e){return e.className=\"i\",!e.getAttribute(\"className\")})),n.getElementsByTagName=ce((function(e){return e.appendChild(d.createComment(\"\")),!e.getElementsByTagName(\"*\").length})),n.getElementsByClassName=K.test(d.getElementsByClassName),n.getById=ce((function(e){return h.appendChild(e).id=b,!d.getElementsByName||!d.getElementsByName(b).length})),n.getById?(r.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute(\"id\")===t}},r.find.ID=function(e,t){if(void 0!==t.getElementById&&g){var n=t.getElementById(e);return n?[n]:[]}}):(r.filter.ID=function(e){var t=e.replace(te,ne);return function(e){var n=void 0!==e.getAttributeNode&&e.getAttributeNode(\"id\");return n&&n.value===t}},r.find.ID=function(e,t){if(void 0!==t.getElementById&&g){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode(\"id\"))&&n.value===e)return[o];for(i=t.getElementsByName(e),r=0;o=i[r++];)if((n=o.getAttributeNode(\"id\"))&&n.value===e)return[o]}return[]}}),r.find.TAG=n.getElementsByTagName?function(e,t){return void 0!==t.getElementsByTagName?t.getElementsByTagName(e):n.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if(\"*\"===e){for(;n=o[i++];)1===n.nodeType&&r.push(n);return r}return o},r.find.CLASS=n.getElementsByClassName&&function(e,t){if(void 0!==t.getElementsByClassName&&g)return t.getElementsByClassName(e)},y=[],v=[],(n.qsa=K.test(d.querySelectorAll))&&(ce((function(e){var t;h.appendChild(e).innerHTML=\"\",e.querySelectorAll(\"[msallowcapture^='']\").length&&v.push(\"[*^$]=[\\\\x20\\\\t\\\\r\\\\n\\\\f]*(?:''|\\\"\\\")\"),e.querySelectorAll(\"[selected]\").length||v.push(\"\\\\[[\\\\x20\\\\t\\\\r\\\\n\\\\f]*(?:value|\"+R+\")\"),e.querySelectorAll(\"[id~=\"+b+\"-]\").length||v.push(\"~=\"),(t=d.createElement(\"input\")).setAttribute(\"name\",\"\"),e.appendChild(t),e.querySelectorAll(\"[name='']\").length||v.push(\"\\\\[[\\\\x20\\\\t\\\\r\\\\n\\\\f]*name[\\\\x20\\\\t\\\\r\\\\n\\\\f]*=[\\\\x20\\\\t\\\\r\\\\n\\\\f]*(?:''|\\\"\\\")\"),e.querySelectorAll(\":checked\").length||v.push(\":checked\"),e.querySelectorAll(\"a#\"+b+\"+*\").length||v.push(\".#.+[+~]\"),e.querySelectorAll(\"\\\\\\f\"),v.push(\"[\\\\r\\\\n\\\\f]\")})),ce((function(e){e.innerHTML=\"\";var t=d.createElement(\"input\");t.setAttribute(\"type\",\"hidden\"),e.appendChild(t).setAttribute(\"name\",\"D\"),e.querySelectorAll(\"[name=d]\").length&&v.push(\"name[\\\\x20\\\\t\\\\r\\\\n\\\\f]*[*^$|!~]?=\"),2!==e.querySelectorAll(\":enabled\").length&&v.push(\":enabled\",\":disabled\"),h.appendChild(e).disabled=!0,2!==e.querySelectorAll(\":disabled\").length&&v.push(\":enabled\",\":disabled\"),e.querySelectorAll(\"*,:x\"),v.push(\",.*:\")}))),(n.matchesSelector=K.test(m=h.matches||h.webkitMatchesSelector||h.mozMatchesSelector||h.oMatchesSelector||h.msMatchesSelector))&&ce((function(e){n.disconnectedMatch=m.call(e,\"*\"),m.call(e,\"[s!='']:x\"),y.push(\"!=\",F)})),v=v.length&&new RegExp(v.join(\"|\")),y=y.length&&new RegExp(y.join(\"|\")),t=K.test(h.compareDocumentPosition),x=t||K.test(h.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)for(;t=t.parentNode;)if(t===e)return!0;return!1},N=t?function(e,t){if(e===t)return f=!0,0;var r=!e.compareDocumentPosition-!t.compareDocumentPosition;return r||(1&(r=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!n.sortDetached&&t.compareDocumentPosition(e)===r?e==d||e.ownerDocument==w&&x(w,e)?-1:t==d||t.ownerDocument==w&&x(w,t)?1:c?P(c,e)-P(c,t):0:4&r?-1:1)}:function(e,t){if(e===t)return f=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==d?-1:t==d?1:i?-1:o?1:c?P(c,e)-P(c,t):0;if(i===o)return pe(e,t);for(n=e;n=n.parentNode;)a.unshift(n);for(n=t;n=n.parentNode;)s.unshift(n);for(;a[r]===s[r];)r++;return r?pe(a[r],s[r]):a[r]==w?-1:s[r]==w?1:0},d):d},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(p(e),n.matchesSelector&&g&&!A[t+\" \"]&&(!y||!y.test(t))&&(!v||!v.test(t)))try{var r=m.call(e,t);if(r||n.disconnectedMatch||e.document&&11!==e.document.nodeType)return r}catch(e){A(t,!0)}return se(t,d,null,[e]).length>0},se.contains=function(e,t){return(e.ownerDocument||e)!=d&&p(e),x(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=d&&p(e);var i=r.attrHandle[t.toLowerCase()],o=i&&j.call(r.attrHandle,t.toLowerCase())?i(e,t,!g):void 0;return void 0!==o?o:n.attributes||!g?e.getAttribute(t):(o=e.getAttributeNode(t))&&o.specified?o.value:null},se.escape=function(e){return(e+\"\").replace(re,ie)},se.error=function(e){throw new Error(\"Syntax error, unrecognized expression: \"+e)},se.uniqueSort=function(e){var t,r=[],i=0,o=0;if(f=!n.detectDuplicates,c=!n.sortStable&&e.slice(0),e.sort(N),f){for(;t=e[o++];)t===e[o]&&(i=r.push(o));for(;i--;)e.splice(r[i],1)}return c=null,e},i=se.getText=function(e){var t,n=\"\",r=0,o=e.nodeType;if(o){if(1===o||9===o||11===o){if(\"string\"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=i(e)}else if(3===o||4===o)return e.nodeValue}else for(;t=e[r++];)n+=i(t);return n},r=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{\">\":{dir:\"parentNode\",first:!0},\" \":{dir:\"parentNode\"},\"+\":{dir:\"previousSibling\",first:!0},\"~\":{dir:\"previousSibling\"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||\"\").replace(te,ne),\"~=\"===e[2]&&(e[3]=\" \"+e[3]+\" \"),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),\"nth\"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*(\"even\"===e[3]||\"odd\"===e[3])),e[5]=+(e[7]+e[8]||\"odd\"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||\"\":n&&X.test(n)&&(t=a(n,!0))&&(t=n.indexOf(\")\",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return\"*\"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=E[e+\" \"];return t||(t=new RegExp(\"(^|[\\\\x20\\\\t\\\\r\\\\n\\\\f])\"+e+\"(\"+M+\"|$)\"))&&E(e,(function(e){return t.test(\"string\"==typeof e.className&&e.className||void 0!==e.getAttribute&&e.getAttribute(\"class\")||\"\")}))},ATTR:function(e,t,n){return function(r){var i=se.attr(r,e);return null==i?\"!=\"===t:!t||(i+=\"\",\"=\"===t?i===n:\"!=\"===t?i!==n:\"^=\"===t?n&&0===i.indexOf(n):\"*=\"===t?n&&i.indexOf(n)>-1:\"$=\"===t?n&&i.slice(-n.length)===n:\"~=\"===t?(\" \"+i.replace(B,\" \")+\" \").indexOf(n)>-1:\"|=\"===t&&(i===n||i.slice(0,n.length+1)===n+\"-\"))}},CHILD:function(e,t,n,r,i){var o=\"nth\"!==e.slice(0,3),a=\"last\"!==e.slice(-4),s=\"of-type\"===t;return 1===r&&0===i?function(e){return!!e.parentNode}:function(t,n,u){var l,c,f,p,d,h,g=o!==a?\"nextSibling\":\"previousSibling\",v=t.parentNode,y=s&&t.nodeName.toLowerCase(),m=!u&&!s,x=!1;if(v){if(o){for(;g;){for(p=t;p=p[g];)if(s?p.nodeName.toLowerCase()===y:1===p.nodeType)return!1;h=g=\"only\"===e&&!h&&\"nextSibling\"}return!0}if(h=[a?v.firstChild:v.lastChild],a&&m){for(x=(d=(l=(c=(f=(p=v)[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]||[])[0]===T&&l[1])&&l[2],p=d&&v.childNodes[d];p=++d&&p&&p[g]||(x=d=0)||h.pop();)if(1===p.nodeType&&++x&&p===t){c[e]=[T,d,x];break}}else if(m&&(x=d=(l=(c=(f=(p=t)[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]||[])[0]===T&&l[1]),!1===x)for(;(p=++d&&p&&p[g]||(x=d=0)||h.pop())&&((s?p.nodeName.toLowerCase()!==y:1!==p.nodeType)||!++x||(m&&((c=(f=p[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]=[T,x]),p!==t)););return(x-=i)===r||x%r==0&&x/r>=0}}},PSEUDO:function(e,t){var n,i=r.pseudos[e]||r.setFilters[e.toLowerCase()]||se.error(\"unsupported pseudo: \"+e);return i[b]?i(t):i.length>1?(n=[e,e,\"\",t],r.setFilters.hasOwnProperty(e.toLowerCase())?le((function(e,n){for(var r,o=i(e,t),a=o.length;a--;)e[r=P(e,o[a])]=!(n[r]=o[a])})):function(e){return i(e,0,n)}):i}},pseudos:{not:le((function(e){var t=[],n=[],r=s(e.replace($,\"$1\"));return r[b]?le((function(e,t,n,i){for(var o,a=r(e,null,i,[]),s=e.length;s--;)(o=a[s])&&(e[s]=!(t[s]=o))})):function(e,i,o){return t[0]=e,r(t,null,o,n),t[0]=null,!n.pop()}})),has:le((function(e){return function(t){return se(e,t).length>0}})),contains:le((function(e){return e=e.replace(te,ne),function(t){return(t.textContent||i(t)).indexOf(e)>-1}})),lang:le((function(e){return V.test(e||\"\")||se.error(\"unsupported lang: \"+e),e=e.replace(te,ne).toLowerCase(),function(t){var n;do{if(n=g?t.lang:t.getAttribute(\"xml:lang\")||t.getAttribute(\"lang\"))return(n=n.toLowerCase())===e||0===n.indexOf(e+\"-\")}while((t=t.parentNode)&&1===t.nodeType);return!1}})),target:function(t){var n=e.location&&e.location.hash;return n&&n.slice(1)===t.id},root:function(e){return e===h},focus:function(e){return e===d.activeElement&&(!d.hasFocus||d.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return\"input\"===t&&!!e.checked||\"option\"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!r.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return\"input\"===t&&\"button\"===e.type||\"button\"===t},text:function(e){var t;return\"input\"===e.nodeName.toLowerCase()&&\"text\"===e.type&&(null==(t=e.getAttribute(\"type\"))||\"text\"===t.toLowerCase())},first:ve((function(){return[0]})),last:ve((function(e,t){return[t-1]})),eq:ve((function(e,t,n){return[n<0?n+t:n]})),even:ve((function(e,t){for(var n=0;nt?t:n;--r>=0;)e.push(r);return e})),gt:ve((function(e,t,n){for(var r=n<0?n+t:n;++r1?function(t,n,r){for(var i=e.length;i--;)if(!e[i](t,n,r))return!1;return!0}:e[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s-1&&(o[l]=!(a[l]=f))}}else y=Te(y===a?y.splice(h,y.length):y),i?i(null,a,y,u):H.apply(a,y)}))}function Ee(e){for(var t,n,i,o=e.length,a=r.relative[e[0].type],s=a||r.relative[\" \"],u=a?1:0,c=be((function(e){return e===t}),s,!0),f=be((function(e){return P(t,e)>-1}),s,!0),p=[function(e,n,r){var i=!a&&(r||n!==l)||((t=n).nodeType?c(e,n,r):f(e,n,r));return t=null,i}];u1&&we(p),u>1&&xe(e.slice(0,u-1).concat({value:\" \"===e[u-2].type?\"*\":\"\"})).replace($,\"$1\"),n,u0,i=e.length>0,o=function(o,a,s,u,c){var f,h,v,y=0,m=\"0\",x=o&&[],b=[],w=l,C=o||i&&r.find.TAG(\"*\",c),E=T+=null==w?1:Math.random()||.1,S=C.length;for(c&&(l=a==d||a||c);m!==S&&null!=(f=C[m]);m++){if(i&&f){for(h=0,a||f.ownerDocument==d||(p(f),s=!g);v=e[h++];)if(v(f,a||d,s)){u.push(f);break}c&&(T=E)}n&&((f=!v&&f)&&y--,o&&x.push(f))}if(y+=m,n&&m!==y){for(h=0;v=t[h++];)v(x,b,a,s);if(o){if(y>0)for(;m--;)x[m]||b[m]||(b[m]=q.call(u));b=Te(b)}H.apply(u,b),c&&!o&&b.length>0&&y+t.length>1&&se.uniqueSort(u)}return c&&(T=E,l=w),x};return n?le(o):o}(o,i)),s.selector=e}return s},u=se.select=function(e,t,n,i){var o,u,l,c,f,p=\"function\"==typeof e&&e,d=!i&&a(e=p.selector||e);if(n=n||[],1===d.length){if((u=d[0]=d[0].slice(0)).length>2&&\"ID\"===(l=u[0]).type&&9===t.nodeType&&g&&r.relative[u[1].type]){if(!(t=(r.find.ID(l.matches[0].replace(te,ne),t)||[])[0]))return n;p&&(t=t.parentNode),e=e.slice(u.shift().value.length)}for(o=G.needsContext.test(e)?0:u.length;o--&&(l=u[o],!r.relative[c=l.type]);)if((f=r.find[c])&&(i=f(l.matches[0].replace(te,ne),ee.test(u[0].type)&&ye(t.parentNode)||t))){if(u.splice(o,1),!(e=i.length&&xe(u)))return H.apply(n,i),n;break}}return(p||s(e,d))(i,t,!g,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},n.sortStable=b.split(\"\").sort(N).join(\"\")===b,n.detectDuplicates=!!f,p(),n.sortDetached=ce((function(e){return 1&e.compareDocumentPosition(d.createElement(\"fieldset\"))})),ce((function(e){return e.innerHTML=\"\",\"#\"===e.firstChild.getAttribute(\"href\")}))||fe(\"type|href|height|width\",(function(e,t,n){if(!n)return e.getAttribute(t,\"type\"===t.toLowerCase()?1:2)})),n.attributes&&ce((function(e){return e.innerHTML=\"\",e.firstChild.setAttribute(\"value\",\"\"),\"\"===e.firstChild.getAttribute(\"value\")}))||fe(\"value\",(function(e,t,n){if(!n&&\"input\"===e.nodeName.toLowerCase())return e.defaultValue})),ce((function(e){return null==e.getAttribute(\"disabled\")}))||fe(R,(function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null})),se}(e);w.find=C,w.expr=C.selectors,w.expr[\":\"]=w.expr.pseudos,w.uniqueSort=w.unique=C.uniqueSort,w.text=C.getText,w.isXMLDoc=C.isXML,w.contains=C.contains,w.escapeSelector=C.escape;var E=function(e,t,n){for(var r=[],i=void 0!==n;(e=e[t])&&9!==e.nodeType;)if(1===e.nodeType){if(i&&w(e).is(n))break;r.push(e)}return r},S=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=w.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\\/\\0>:\\x20\\t\\r\\n\\f]*)[\\x20\\t\\r\\n\\f]*\\/?>(?:<\\/\\1>|)$/i;function j(e,t,n){return h(t)?w.grep(e,(function(e,r){return!!t.call(e,r,e)!==n})):t.nodeType?w.grep(e,(function(e){return e===t!==n})):\"string\"!=typeof t?w.grep(e,(function(e){return s.call(t,e)>-1!==n})):w.filter(t,e,n)}w.filter=function(e,t,n){var r=t[0];return n&&(e=\":not(\"+e+\")\"),1===t.length&&1===r.nodeType?w.find.matchesSelector(r,e)?[r]:[]:w.find.matches(e,w.grep(t,(function(e){return 1===e.nodeType})))},w.fn.extend({find:function(e){var t,n,r=this.length,i=this;if(\"string\"!=typeof e)return this.pushStack(w(e).filter((function(){for(t=0;t1?w.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,\"string\"==typeof e&&k.test(e)?w(e):e||[],!1).length}});var D,q=/^(?:\\s*(<[\\w\\W]+>)[^>]*|#([\\w-]+))$/;(w.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,\"string\"==typeof e){if(!(r=\"<\"===e[0]&&\">\"===e[e.length-1]&&e.length>=3?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof w?t[0]:t,w.merge(this,w.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:v,!0)),N.test(r[1])&&w.isPlainObject(t))for(r in t)h(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=v.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):h(e)?void 0!==n.ready?n.ready(e):e(w):w.makeArray(e,this)}).prototype=w.fn,D=w(v);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){for(;(e=e[t])&&1!==e.nodeType;);return e}w.fn.extend({has:function(e){var t=w(e,this),n=t.length;return this.filter((function(){for(var e=0;e-1:1===n.nodeType&&w.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(o.length>1?w.uniqueSort(o):o)},index:function(e){return e?\"string\"==typeof e?s.call(w(e),this[0]):s.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(w.uniqueSort(w.merge(this.get(),w(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),w.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return E(e,\"parentNode\")},parentsUntil:function(e,t,n){return E(e,\"parentNode\",n)},next:function(e){return O(e,\"nextSibling\")},prev:function(e){return O(e,\"previousSibling\")},nextAll:function(e){return E(e,\"nextSibling\")},prevAll:function(e){return E(e,\"previousSibling\")},nextUntil:function(e,t,n){return E(e,\"nextSibling\",n)},prevUntil:function(e,t,n){return E(e,\"previousSibling\",n)},siblings:function(e){return S((e.parentNode||{}).firstChild,e)},children:function(e){return S(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,\"template\")&&(e=e.content||e),w.merge([],e.childNodes))}},(function(e,t){w.fn[e]=function(n,r){var i=w.map(this,t,n);return\"Until\"!==e.slice(-5)&&(r=n),r&&\"string\"==typeof r&&(i=w.filter(r,i)),this.length>1&&(H[e]||w.uniqueSort(i),L.test(e)&&i.reverse()),this.pushStack(i)}}));var P=/[^\\x20\\t\\r\\n\\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&h(i=e.promise)?i.call(e).done(t).fail(n):e&&h(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}w.Callbacks=function(e){e=\"string\"==typeof e?function(e){var t={};return w.each(e.match(P)||[],(function(e,n){t[n]=!0})),t}(e):w.extend({},e);var t,n,r,i,o=[],a=[],s=-1,u=function(){for(i=i||e.once,r=t=!0;a.length;s=-1)for(n=a.shift();++s-1;)o.splice(n,1),n<=s&&s--})),this},has:function(e){return e?w.inArray(e,o)>-1:o.length>0},empty:function(){return o&&(o=[]),this},disable:function(){return i=a=[],o=n=\"\",this},disabled:function(){return!o},lock:function(){return i=a=[],n||t||(o=n=\"\"),this},locked:function(){return!!i},fireWith:function(e,n){return i||(n=[e,(n=n||[]).slice?n.slice():n],a.push(n),t||u()),this},fire:function(){return l.fireWith(this,arguments),this},fired:function(){return!!r}};return l},w.extend({Deferred:function(t){var n=[[\"notify\",\"progress\",w.Callbacks(\"memory\"),w.Callbacks(\"memory\"),2],[\"resolve\",\"done\",w.Callbacks(\"once memory\"),w.Callbacks(\"once memory\"),0,\"resolved\"],[\"reject\",\"fail\",w.Callbacks(\"once memory\"),w.Callbacks(\"once memory\"),1,\"rejected\"]],r=\"pending\",i={state:function(){return r},always:function(){return o.done(arguments).fail(arguments),this},catch:function(e){return i.then(null,e)},pipe:function(){var e=arguments;return w.Deferred((function(t){w.each(n,(function(n,r){var i=h(e[r[4]])&&e[r[4]];o[r[1]]((function(){var e=i&&i.apply(this,arguments);e&&h(e.promise)?e.promise().progress(t.notify).done(t.resolve).fail(t.reject):t[r[0]+\"With\"](this,i?[e]:arguments)}))})),e=null})).promise()},then:function(t,r,i){var o=0;function a(t,n,r,i){return function(){var s=this,u=arguments,l=function(){var e,l;if(!(t=o&&(r!==M&&(s=void 0,u=[e]),n.rejectWith(s,u))}};t?c():(w.Deferred.getStackHook&&(c.stackTrace=w.Deferred.getStackHook()),e.setTimeout(c))}}return w.Deferred((function(e){n[0][3].add(a(0,e,h(i)?i:R,e.notifyWith)),n[1][3].add(a(0,e,h(t)?t:R)),n[2][3].add(a(0,e,h(r)?r:M))})).promise()},promise:function(e){return null!=e?w.extend(e,i):i}},o={};return w.each(n,(function(e,t){var a=t[2],s=t[5];i[t[1]]=a.add,s&&a.add((function(){r=s}),n[3-e][2].disable,n[3-e][3].disable,n[0][2].lock,n[0][3].lock),a.add(t[3].fire),o[t[0]]=function(){return o[t[0]+\"With\"](this===o?void 0:this,arguments),this},o[t[0]+\"With\"]=a.fireWith})),i.promise(o),t&&t.call(o,o),o},when:function(e){var t=arguments.length,n=t,r=Array(n),o=i.call(arguments),a=w.Deferred(),s=function(e){return function(n){r[e]=this,o[e]=arguments.length>1?i.call(arguments):n,--t||a.resolveWith(r,o)}};if(t<=1&&(I(e,a.done(s(n)).resolve,a.reject,!t),\"pending\"===a.state()||h(o[n]&&o[n].then)))return a.then();for(;n--;)I(o[n],s(n),a.reject);return a.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;w.Deferred.exceptionHook=function(t,n){e.console&&e.console.warn&&t&&W.test(t.name)&&e.console.warn(\"jQuery.Deferred exception: \"+t.message,t.stack,n)},w.readyException=function(t){e.setTimeout((function(){throw t}))};var F=w.Deferred();function B(){v.removeEventListener(\"DOMContentLoaded\",B),e.removeEventListener(\"load\",B),w.ready()}w.fn.ready=function(e){return F.then(e).catch((function(e){w.readyException(e)})),this},w.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--w.readyWait:w.isReady)||(w.isReady=!0,!0!==e&&--w.readyWait>0||F.resolveWith(v,[w]))}}),w.ready.then=F.then,\"complete\"===v.readyState||\"loading\"!==v.readyState&&!v.documentElement.doScroll?e.setTimeout(w.ready):(v.addEventListener(\"DOMContentLoaded\",B),e.addEventListener(\"load\",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if(\"object\"===x(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,h(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(w(e),n)})),t))for(;s1,null,!0)},removeData:function(e){return this.each((function(){Q.remove(this,e)}))}}),w.extend({queue:function(e,t,n){var r;if(e)return t=(t||\"fx\")+\"queue\",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,w.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||\"fx\";var n=w.queue(e,t),r=n.length,i=n.shift(),o=w._queueHooks(e,t);\"inprogress\"===i&&(i=n.shift(),r--),i&&(\"fx\"===t&&n.unshift(\"inprogress\"),delete o.stop,i.call(e,(function(){w.dequeue(e,t)}),o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+\"queueHooks\";return Y.get(e,n)||Y.access(e,n,{empty:w.Callbacks(\"once memory\").add((function(){Y.remove(e,[t+\"queue\",n])}))})}}),w.fn.extend({queue:function(e,t){var n=2;return\"string\"!=typeof e&&(t=e,e=\"fx\",n--),arguments.length\\x20\\t\\r\\n\\f]*)/i,ge=/^$|^module$|\\/(?:java|ecma)script/i;fe=v.createDocumentFragment().appendChild(v.createElement(\"div\")),(pe=v.createElement(\"input\")).setAttribute(\"type\",\"radio\"),pe.setAttribute(\"checked\",\"checked\"),pe.setAttribute(\"name\",\"t\"),fe.appendChild(pe),d.checkClone=fe.cloneNode(!0).cloneNode(!0).lastChild.checked,fe.innerHTML=\"\",d.noCloneChecked=!!fe.cloneNode(!0).lastChild.defaultValue,fe.innerHTML=\"\",d.option=!!fe.lastChild;var ve={thead:[1,\"\",\"
\"],col:[2,\"\",\"
\"],tr:[2,\"\",\"
\"],td:[3,\"\",\"
\"],_default:[0,\"\",\"\"]};function ye(e,t){var n;return n=void 0!==e.getElementsByTagName?e.getElementsByTagName(t||\"*\"):void 0!==e.querySelectorAll?e.querySelectorAll(t||\"*\"):[],void 0===t||t&&A(e,t)?w.merge([e],n):n}function me(e,t){for(var n=0,r=e.length;n\",\"\"]);var xe=/<|&#?\\w+;/;function be(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d-1)i&&i.push(o);else if(l=ie(o),a=ye(f.appendChild(o),\"script\"),l&&me(a),n)for(c=0;o=a[c++];)ge.test(o.type||\"\")&&n.push(o);return f}var we=/^([^.]*)(?:\\.(.+)|)/;function Te(){return!0}function Ce(){return!1}function Ee(e,t){return e===function(){try{return v.activeElement}catch(e){}}()==(\"focus\"===t)}function Se(e,t,n,r,i,o){var a,s;if(\"object\"==typeof t){for(s in\"string\"!=typeof n&&(r=r||n,n=void 0),t)Se(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&(\"string\"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Ce;else if(!i)return e;return 1===o&&(a=i,i=function(e){return w().off(e),a.apply(this,arguments)},i.guid=a.guid||(a.guid=w.guid++)),e.each((function(){w.event.add(this,t,i,r,n)}))}function ke(e,t,n){n?(Y.set(e,t,!1),w.event.add(e,t,{namespace:!1,handler:function(e){var r,o,a=Y.get(this,t);if(1&e.isTrigger&&this[t]){if(a.length)(w.event.special[t]||{}).delegateType&&e.stopPropagation();else if(a=i.call(arguments),Y.set(this,t,a),r=n(this,t),this[t](),a!==(o=Y.get(this,t))||r?Y.set(this,t,!1):o={},a!==o)return e.stopImmediatePropagation(),e.preventDefault(),o&&o.value}else a.length&&(Y.set(this,t,{value:w.event.trigger(w.extend(a[0],w.Event.prototype),a.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,t)&&w.event.add(e,t,Te)}w.event={global:{},add:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(e);if(V(e))for(n.handler&&(n=(o=n).handler,i=o.selector),i&&w.find.matchesSelector(re,i),n.guid||(n.guid=w.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(t){return void 0!==w&&w.event.triggered!==t.type?w.event.dispatch.apply(e,arguments):void 0}),l=(t=(t||\"\").match(P)||[\"\"]).length;l--;)d=g=(s=we.exec(t[l])||[])[1],h=(s[2]||\"\").split(\".\").sort(),d&&(f=w.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=w.event.special[d]||{},c=w.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&w.expr.match.needsContext.test(i),namespace:h.join(\".\")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(e,r,h,a)||e.addEventListener&&e.addEventListener(d,a)),f.add&&(f.add.call(e,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),w.event.global[d]=!0)},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){for(l=(t=(t||\"\").match(P)||[\"\"]).length;l--;)if(d=g=(s=we.exec(t[l])||[])[1],h=(s[2]||\"\").split(\".\").sort(),d){for(f=w.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp(\"(^|\\\\.)\"+h.join(\"\\\\.(?:.*\\\\.|)\")+\"(\\\\.|$)\"),a=o=p.length;o--;)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&(\"**\"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||w.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)w.event.remove(e,d+t[l],n,r,!0);w.isEmptyObject(u)&&Y.remove(e,\"handle events\")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=w.event.fix(e),l=(Y.get(this,\"events\")||Object.create(null))[u.type]||[],c=w.event.special[u.type]||{};for(s[0]=u,t=1;t=1))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&(\"click\"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n-1:w.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u\\s*$/g;function De(e,t){return A(e,\"table\")&&A(11!==t.nodeType?t:t.firstChild,\"tr\")&&w(e).children(\"tbody\")[0]||e}function qe(e){return e.type=(null!==e.getAttribute(\"type\"))+\"/\"+e.type,e}function Le(e){return\"true/\"===(e.type||\"\").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute(\"type\"),e}function He(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,\"handle events\"),s)for(n=0,r=s[i].length;n1&&\"string\"==typeof v&&!d.checkClone&&Ne.test(v))return e.each((function(i){var o=e.eq(i);y&&(t[0]=v.call(this,i,o.html())),Pe(o,t,n,r)}));if(p&&(a=(i=be(t,e[0].ownerDocument,!1,e,r)).firstChild,1===i.childNodes.length&&(i=a),a||r)){for(u=(s=w.map(ye(i,\"script\"),qe)).length;f0&&me(a,!u&&ye(e,\"script\")),s},cleanData:function(e){for(var t,n,r,i=w.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?w.event.remove(n,r):w.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),w.fn.extend({detach:function(e){return Re(this,e,!0)},remove:function(e){return Re(this,e)},text:function(e){return $(this,(function(e){return void 0===e?w.text(this):this.empty().each((function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)}))}),null,e,arguments.length)},append:function(){return Pe(this,arguments,(function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||De(this,e).appendChild(e)}))},prepend:function(){return Pe(this,arguments,(function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=De(this,e);t.insertBefore(e,t.firstChild)}}))},before:function(){return Pe(this,arguments,(function(e){this.parentNode&&this.parentNode.insertBefore(e,this)}))},after:function(){return Pe(this,arguments,(function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)}))},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(w.cleanData(ye(e,!1)),e.textContent=\"\");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map((function(){return w.clone(this,e,t)}))},html:function(e){return $(this,(function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if(\"string\"==typeof e&&!Ae.test(e)&&!ve[(he.exec(e)||[\"\",\"\"])[1].toLowerCase()]){e=w.htmlPrefilter(e);try{for(;n=0&&(u+=Math.max(0,Math.ceil(e[\"offset\"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Ze(e,t,n){var r=Ie(e),i=(!d.boxSizingReliable()||n)&&\"border-box\"===w.css(e,\"boxSizing\",!1,r),o=i,a=Be(e,t,r),s=\"offset\"+t[0].toUpperCase()+t.slice(1);if(Me.test(a)){if(!n)return a;a=\"auto\"}return(!d.boxSizingReliable()&&i||!d.reliableTrDimensions()&&A(e,\"tr\")||\"auto\"===a||!parseFloat(a)&&\"inline\"===w.css(e,\"display\",!1,r))&&e.getClientRects().length&&(i=\"border-box\"===w.css(e,\"boxSizing\",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Ke(e,t,n||(i?\"border\":\"content\"),o,r,a)+\"px\"}function et(e,t,n,r,i){return new et.prototype.init(e,t,n,r,i)}w.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=Be(e,\"opacity\");return\"\"===n?\"1\":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Ge.test(t),l=e.style;if(u||(t=Xe(s)),a=w.cssHooks[t]||w.cssHooks[s],void 0===n)return a&&\"get\"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];\"string\"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o=\"number\"),null!=n&&n==n&&(\"number\"!==o||u||(n+=i&&i[3]||(w.cssNumber[s]?\"\":\"px\")),d.clearCloneStyle||\"\"!==n||0!==t.indexOf(\"background\")||(l[t]=\"inherit\"),a&&\"set\"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Ge.test(t)||(t=Xe(s)),(a=w.cssHooks[t]||w.cssHooks[s])&&\"get\"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=Be(e,t,r)),\"normal\"===i&&t in Qe&&(i=Qe[t]),\"\"===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),w.each([\"height\",\"width\"],(function(e,t){w.cssHooks[t]={get:function(e,n,r){if(n)return!Ve.test(w.css(e,\"display\"))||e.getClientRects().length&&e.getBoundingClientRect().width?Ze(e,t,r):We(e,Ye,(function(){return Ze(e,t,r)}))},set:function(e,n,r){var i,o=Ie(e),a=!d.scrollboxSize()&&\"absolute\"===o.position,s=(a||r)&&\"border-box\"===w.css(e,\"boxSizing\",!1,o),u=r?Ke(e,t,r,s,o):0;return s&&a&&(u-=Math.ceil(e[\"offset\"+t[0].toUpperCase()+t.slice(1)]-parseFloat(o[t])-Ke(e,t,\"border\",!1,o)-.5)),u&&(i=te.exec(n))&&\"px\"!==(i[3]||\"px\")&&(e.style[t]=n,n=w.css(e,t)),Je(0,n,u)}}})),w.cssHooks.marginLeft=$e(d.reliableMarginLeft,(function(e,t){if(t)return(parseFloat(Be(e,\"marginLeft\"))||e.getBoundingClientRect().left-We(e,{marginLeft:0},(function(){return e.getBoundingClientRect().left})))+\"px\"})),w.each({margin:\"\",padding:\"\",border:\"Width\"},(function(e,t){w.cssHooks[e+t]={expand:function(n){for(var r=0,i={},o=\"string\"==typeof n?n.split(\" \"):[n];r<4;r++)i[e+ne[r]+t]=o[r]||o[r-2]||o[0];return i}},\"margin\"!==e&&(w.cssHooks[e+t].set=Je)})),w.fn.extend({css:function(e,t){return $(this,(function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Ie(e),i=t.length;a1)}}),w.Tween=et,et.prototype={constructor:et,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||w.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(w.cssNumber[n]?\"\":\"px\")},cur:function(){var e=et.propHooks[this.prop];return e&&e.get?e.get(this):et.propHooks._default.get(this)},run:function(e){var t,n=et.propHooks[this.prop];return this.options.duration?this.pos=t=w.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):et.propHooks._default.set(this),this}},et.prototype.init.prototype=et.prototype,et.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=w.css(e.elem,e.prop,\"\"))&&\"auto\"!==t?t:0},set:function(e){w.fx.step[e.prop]?w.fx.step[e.prop](e):1!==e.elem.nodeType||!w.cssHooks[e.prop]&&null==e.elem.style[Xe(e.prop)]?e.elem[e.prop]=e.now:w.style(e.elem,e.prop,e.now+e.unit)}}},et.propHooks.scrollTop=et.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},w.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:\"swing\"},w.fx=et.prototype.init,w.fx.step={};var tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){nt&&(!1===v.hidden&&e.requestAnimationFrame?e.requestAnimationFrame(ot):e.setTimeout(ot,w.fx.interval),w.fx.tick())}function at(){return e.setTimeout((function(){tt=void 0})),tt=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i[\"margin\"+(n=ne[r])]=i[\"padding\"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners[\"*\"]),o=0,a=i.length;o1)},removeAttr:function(e){return this.each((function(){w.removeAttr(this,e)}))}}),w.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return void 0===e.getAttribute?w.prop(e,t,n):(1===o&&w.isXMLDoc(e)||(i=w.attrHooks[t.toLowerCase()]||(w.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void w.removeAttr(e,t):i&&\"set\"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+\"\"),n):i&&\"get\"in i&&null!==(r=i.get(e,t))?r:null==(r=w.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!d.radioValue&&\"radio\"===t&&A(e,\"input\")){var n=e.value;return e.setAttribute(\"type\",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)for(;n=i[r++];)e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?w.removeAttr(e,n):e.setAttribute(n,n),n}},w.each(w.expr.match.bool.source.match(/\\w+/g),(function(e,t){var n=ft[t]||w.find.attr;ft[t]=function(e,t,r){var i,o,a=t.toLowerCase();return r||(o=ft[a],ft[a]=i,i=null!=n(e,t,r)?a:null,ft[a]=o),i}}));var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(\" \")}function gt(e){return e.getAttribute&&e.getAttribute(\"class\")||\"\"}function vt(e){return Array.isArray(e)?e:\"string\"==typeof e&&e.match(P)||[]}w.fn.extend({prop:function(e,t){return $(this,w.prop,e,t,arguments.length>1)},removeProp:function(e){return this.each((function(){delete this[w.propFix[e]||e]}))}}),w.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&w.isXMLDoc(e)||(t=w.propFix[t]||t,i=w.propHooks[t]),void 0!==n?i&&\"set\"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&\"get\"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=w.find.attr(e,\"tabindex\");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{for:\"htmlFor\",class:\"className\"}}),d.optSelected||(w.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),w.each([\"tabIndex\",\"readOnly\",\"maxLength\",\"cellSpacing\",\"cellPadding\",\"rowSpan\",\"colSpan\",\"useMap\",\"frameBorder\",\"contentEditable\"],(function(){w.propFix[this.toLowerCase()]=this})),w.fn.extend({addClass:function(e){var t,n,r,i,o,a,s,u=0;if(h(e))return this.each((function(t){w(this).addClass(e.call(this,t,gt(this)))}));if((t=vt(e)).length)for(;n=this[u++];)if(i=gt(n),r=1===n.nodeType&&\" \"+ht(i)+\" \"){for(a=0;o=t[a++];)r.indexOf(\" \"+o+\" \")<0&&(r+=o+\" \");i!==(s=ht(r))&&n.setAttribute(\"class\",s)}return this},removeClass:function(e){var t,n,r,i,o,a,s,u=0;if(h(e))return this.each((function(t){w(this).removeClass(e.call(this,t,gt(this)))}));if(!arguments.length)return this.attr(\"class\",\"\");if((t=vt(e)).length)for(;n=this[u++];)if(i=gt(n),r=1===n.nodeType&&\" \"+ht(i)+\" \"){for(a=0;o=t[a++];)for(;r.indexOf(\" \"+o+\" \")>-1;)r=r.replace(\" \"+o+\" \",\" \");i!==(s=ht(r))&&n.setAttribute(\"class\",s)}return this},toggleClass:function(e,t){var n=typeof e,r=\"string\"===n||Array.isArray(e);return\"boolean\"==typeof t&&r?t?this.addClass(e):this.removeClass(e):h(e)?this.each((function(n){w(this).toggleClass(e.call(this,n,gt(this),t),t)})):this.each((function(){var t,i,o,a;if(r)for(i=0,o=w(this),a=vt(e);t=a[i++];)o.hasClass(t)?o.removeClass(t):o.addClass(t);else void 0!==e&&\"boolean\"!==n||((t=gt(this))&&Y.set(this,\"__className__\",t),this.setAttribute&&this.setAttribute(\"class\",t||!1===e?\"\":Y.get(this,\"__className__\")||\"\"))}))},hasClass:function(e){var t,n,r=0;for(t=\" \"+e+\" \";n=this[r++];)if(1===n.nodeType&&(\" \"+ht(gt(n))+\" \").indexOf(t)>-1)return!0;return!1}});var yt=/\\r/g;w.fn.extend({val:function(e){var t,n,r,i=this[0];return arguments.length?(r=h(e),this.each((function(n){var i;1===this.nodeType&&(null==(i=r?e.call(this,n,w(this).val()):e)?i=\"\":\"number\"==typeof i?i+=\"\":Array.isArray(i)&&(i=w.map(i,(function(e){return null==e?\"\":e+\"\"}))),(t=w.valHooks[this.type]||w.valHooks[this.nodeName.toLowerCase()])&&\"set\"in t&&void 0!==t.set(this,i,\"value\")||(this.value=i))}))):i?(t=w.valHooks[i.type]||w.valHooks[i.nodeName.toLowerCase()])&&\"get\"in t&&void 0!==(n=t.get(i,\"value\"))?n:\"string\"==typeof(n=i.value)?n.replace(yt,\"\"):null==n?\"\":n:void 0}}),w.extend({valHooks:{option:{get:function(e){var t=w.find.attr(e,\"value\");return null!=t?t:ht(w.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a=\"select-one\"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r-1)&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),w.each([\"radio\",\"checkbox\"],(function(){w.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=w.inArray(w(e).val(),t)>-1}},d.checkOn||(w.valHooks[this].get=function(e){return null===e.getAttribute(\"value\")?\"on\":e.value})})),d.focusin=\"onfocusin\"in e;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};w.extend(w.event,{trigger:function(t,n,r,i){var o,a,s,u,l,f,p,d,y=[r||v],m=c.call(t,\"type\")?t.type:t,x=c.call(t,\"namespace\")?t.namespace.split(\".\"):[];if(a=d=s=r=r||v,3!==r.nodeType&&8!==r.nodeType&&!mt.test(m+w.event.triggered)&&(m.indexOf(\".\")>-1&&(x=m.split(\".\"),m=x.shift(),x.sort()),l=m.indexOf(\":\")<0&&\"on\"+m,(t=t[w.expando]?t:new w.Event(m,\"object\"==typeof t&&t)).isTrigger=i?2:3,t.namespace=x.join(\".\"),t.rnamespace=t.namespace?new RegExp(\"(^|\\\\.)\"+x.join(\"\\\\.(?:.*\\\\.|)\")+\"(\\\\.|$)\"):null,t.result=void 0,t.target||(t.target=r),n=null==n?[t]:w.makeArray(n,[t]),p=w.event.special[m]||{},i||!p.trigger||!1!==p.trigger.apply(r,n))){if(!i&&!p.noBubble&&!g(r)){for(u=p.delegateType||m,mt.test(u+m)||(a=a.parentNode);a;a=a.parentNode)y.push(a),s=a;s===(r.ownerDocument||v)&&y.push(s.defaultView||s.parentWindow||e)}for(o=0;(a=y[o++])&&!t.isPropagationStopped();)d=a,t.type=o>1?u:p.bindType||m,(f=(Y.get(a,\"events\")||Object.create(null))[t.type]&&Y.get(a,\"handle\"))&&f.apply(a,n),(f=l&&a[l])&&f.apply&&V(a)&&(t.result=f.apply(a,n),!1===t.result&&t.preventDefault());return t.type=m,i||t.isDefaultPrevented()||p._default&&!1!==p._default.apply(y.pop(),n)||!V(r)||l&&h(r[m])&&!g(r)&&((s=r[l])&&(r[l]=null),w.event.triggered=m,t.isPropagationStopped()&&d.addEventListener(m,xt),r[m](),t.isPropagationStopped()&&d.removeEventListener(m,xt),w.event.triggered=void 0,s&&(r[l]=s)),t.result}},simulate:function(e,t,n){var r=w.extend(new w.Event,n,{type:e,isSimulated:!0});w.event.trigger(r,null,t)}}),w.fn.extend({trigger:function(e,t){return this.each((function(){w.event.trigger(e,t,this)}))},triggerHandler:function(e,t){var n=this[0];if(n)return w.event.trigger(e,t,n,!0)}}),d.focusin||w.each({focus:\"focusin\",blur:\"focusout\"},(function(e,t){var n=function(e){w.event.simulate(t,e.target,w.event.fix(e))};w.event.special[t]={setup:function(){var r=this.ownerDocument||this.document||this,i=Y.access(r,t);i||r.addEventListener(e,n,!0),Y.access(r,t,(i||0)+1)},teardown:function(){var r=this.ownerDocument||this.document||this,i=Y.access(r,t)-1;i?Y.access(r,t,i):(r.removeEventListener(e,n,!0),Y.remove(r,t))}}}));var bt=e.location,wt={guid:Date.now()},Tt=/\\?/;w.parseXML=function(t){var n,r;if(!t||\"string\"!=typeof t)return null;try{n=(new e.DOMParser).parseFromString(t,\"text/xml\")}catch(e){}return r=n&&n.getElementsByTagName(\"parsererror\")[0],n&&!r||w.error(\"Invalid XML: \"+(r?w.map(r.childNodes,(function(e){return e.textContent})).join(\"\\n\"):t)),n};var Ct=/\\[\\]$/,Et=/\\r?\\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(e,t,n,r){var i;if(Array.isArray(t))w.each(t,(function(t,i){n||Ct.test(e)?r(e,i):At(e+\"[\"+(\"object\"==typeof i&&null!=i?t:\"\")+\"]\",i,n,r)}));else if(n||\"object\"!==x(t))r(e,t);else for(i in t)At(e+\"[\"+i+\"]\",t[i],n,r)}w.param=function(e,t){var n,r=[],i=function(e,t){var n=h(t)?t():t;r[r.length]=encodeURIComponent(e)+\"=\"+encodeURIComponent(null==n?\"\":n)};if(null==e)return\"\";if(Array.isArray(e)||e.jquery&&!w.isPlainObject(e))w.each(e,(function(){i(this.name,this.value)}));else for(n in e)At(n,e[n],t,i);return r.join(\"&\")},w.fn.extend({serialize:function(){return w.param(this.serializeArray())},serializeArray:function(){return this.map((function(){var e=w.prop(this,\"elements\");return e?w.makeArray(e):this})).filter((function(){var e=this.type;return this.name&&!w(this).is(\":disabled\")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!de.test(e))})).map((function(e,t){var n=w(this).val();return null==n?null:Array.isArray(n)?w.map(n,(function(e){return{name:t.name,value:e.replace(Et,\"\\r\\n\")}})):{name:t.name,value:n.replace(Et,\"\\r\\n\")}})).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \\t]*([^\\r\\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\\/\\//,Ot={},Pt={},Rt=\"*/\".concat(\"*\"),Mt=v.createElement(\"a\");function It(e){return function(t,n){\"string\"!=typeof t&&(n=t,t=\"*\");var r,i=0,o=t.toLowerCase().match(P)||[];if(h(n))for(;r=o[i++];)\"+\"===r[0]?(r=r.slice(1)||\"*\",(e[r]=e[r]||[]).unshift(n)):(e[r]=e[r]||[]).push(n)}}function Wt(e,t,n,r){var i={},o=e===Pt;function a(s){var u;return i[s]=!0,w.each(e[s]||[],(function(e,s){var l=s(t,n,r);return\"string\"!=typeof l||o||i[l]?o?!(u=l):void 0:(t.dataTypes.unshift(l),a(l),!1)})),u}return a(t.dataTypes[0])||!i[\"*\"]&&a(\"*\")}function Ft(e,t){var n,r,i=w.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&w.extend(!0,e,r),e}Mt.href=bt.href,w.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:\"GET\",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:\"application/x-www-form-urlencoded; charset=UTF-8\",accepts:{\"*\":Rt,text:\"text/plain\",html:\"text/html\",xml:\"application/xml, text/xml\",json:\"application/json, text/javascript\"},contents:{xml:/\\bxml\\b/,html:/\\bhtml/,json:/\\bjson\\b/},responseFields:{xml:\"responseXML\",text:\"responseText\",json:\"responseJSON\"},converters:{\"* text\":String,\"text html\":!0,\"text json\":JSON.parse,\"text xml\":w.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,w.ajaxSettings),t):Ft(w.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(t,n){\"object\"==typeof t&&(n=t,t=void 0),n=n||{};var r,i,o,a,s,u,l,c,f,p,d=w.ajaxSetup({},n),h=d.context||d,g=d.context&&(h.nodeType||h.jquery)?w(h):w.event,y=w.Deferred(),m=w.Callbacks(\"once memory\"),x=d.statusCode||{},b={},T={},C=\"canceled\",E={readyState:0,getResponseHeader:function(e){var t;if(l){if(!a)for(a={};t=qt.exec(o);)a[t[1].toLowerCase()+\" \"]=(a[t[1].toLowerCase()+\" \"]||[]).concat(t[2]);t=a[e.toLowerCase()+\" \"]}return null==t?null:t.join(\", \")},getAllResponseHeaders:function(){return l?o:null},setRequestHeader:function(e,t){return null==l&&(e=T[e.toLowerCase()]=T[e.toLowerCase()]||e,b[e]=t),this},overrideMimeType:function(e){return null==l&&(d.mimeType=e),this},statusCode:function(e){var t;if(e)if(l)E.always(e[E.status]);else for(t in e)x[t]=[x[t],e[t]];return this},abort:function(e){var t=e||C;return r&&r.abort(t),S(0,t),this}};if(y.promise(E),d.url=((t||d.url||bt.href)+\"\").replace(Ht,bt.protocol+\"//\"),d.type=n.method||n.type||d.method||d.type,d.dataTypes=(d.dataType||\"*\").toLowerCase().match(P)||[\"\"],null==d.crossDomain){u=v.createElement(\"a\");try{u.href=d.url,u.href=u.href,d.crossDomain=Mt.protocol+\"//\"+Mt.host!=u.protocol+\"//\"+u.host}catch(e){d.crossDomain=!0}}if(d.data&&d.processData&&\"string\"!=typeof d.data&&(d.data=w.param(d.data,d.traditional)),Wt(Ot,d,n,E),l)return E;for(f in(c=w.event&&d.global)&&0==w.active++&&w.event.trigger(\"ajaxStart\"),d.type=d.type.toUpperCase(),d.hasContent=!Lt.test(d.type),i=d.url.replace(jt,\"\"),d.hasContent?d.data&&d.processData&&0===(d.contentType||\"\").indexOf(\"application/x-www-form-urlencoded\")&&(d.data=d.data.replace(Nt,\"+\")):(p=d.url.slice(i.length),d.data&&(d.processData||\"string\"==typeof d.data)&&(i+=(Tt.test(i)?\"&\":\"?\")+d.data,delete d.data),!1===d.cache&&(i=i.replace(Dt,\"$1\"),p=(Tt.test(i)?\"&\":\"?\")+\"_=\"+wt.guid+++p),d.url=i+p),d.ifModified&&(w.lastModified[i]&&E.setRequestHeader(\"If-Modified-Since\",w.lastModified[i]),w.etag[i]&&E.setRequestHeader(\"If-None-Match\",w.etag[i])),(d.data&&d.hasContent&&!1!==d.contentType||n.contentType)&&E.setRequestHeader(\"Content-Type\",d.contentType),E.setRequestHeader(\"Accept\",d.dataTypes[0]&&d.accepts[d.dataTypes[0]]?d.accepts[d.dataTypes[0]]+(\"*\"!==d.dataTypes[0]?\", \"+Rt+\"; q=0.01\":\"\"):d.accepts[\"*\"]),d.headers)E.setRequestHeader(f,d.headers[f]);if(d.beforeSend&&(!1===d.beforeSend.call(h,E,d)||l))return E.abort();if(C=\"abort\",m.add(d.complete),E.done(d.success),E.fail(d.error),r=Wt(Pt,d,n,E)){if(E.readyState=1,c&&g.trigger(\"ajaxSend\",[E,d]),l)return E;d.async&&d.timeout>0&&(s=e.setTimeout((function(){E.abort(\"timeout\")}),d.timeout));try{l=!1,r.send(b,S)}catch(e){if(l)throw e;S(-1,e)}}else S(-1,\"No Transport\");function S(t,n,a,u){var f,p,v,b,T,C=n;l||(l=!0,s&&e.clearTimeout(s),r=void 0,o=u||\"\",E.readyState=t>0?4:0,f=t>=200&&t<300||304===t,a&&(b=function(e,t,n){for(var r,i,o,a,s=e.contents,u=e.dataTypes;\"*\"===u[0];)u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader(\"Content-Type\"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+\" \"+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(d,E,a)),!f&&w.inArray(\"script\",d.dataTypes)>-1&&w.inArray(\"json\",d.dataTypes)<0&&(d.converters[\"text script\"]=function(){}),b=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];for(o=c.shift();o;)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if(\"*\"===o)o=u;else if(\"*\"!==u&&u!==o){if(!(a=l[u+\" \"+o]||l[\"* \"+o]))for(i in l)if((s=i.split(\" \"))[1]===o&&(a=l[u+\" \"+s[0]]||l[\"* \"+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e.throws)t=a(t);else try{t=a(t)}catch(e){return{state:\"parsererror\",error:a?e:\"No conversion from \"+u+\" to \"+o}}}return{state:\"success\",data:t}}(d,b,E,f),f?(d.ifModified&&((T=E.getResponseHeader(\"Last-Modified\"))&&(w.lastModified[i]=T),(T=E.getResponseHeader(\"etag\"))&&(w.etag[i]=T)),204===t||\"HEAD\"===d.type?C=\"nocontent\":304===t?C=\"notmodified\":(C=b.state,p=b.data,f=!(v=b.error))):(v=C,!t&&C||(C=\"error\",t<0&&(t=0))),E.status=t,E.statusText=(n||C)+\"\",f?y.resolveWith(h,[p,C,E]):y.rejectWith(h,[E,C,v]),E.statusCode(x),x=void 0,c&&g.trigger(f?\"ajaxSuccess\":\"ajaxError\",[E,d,f?p:v]),m.fireWith(h,[E,C]),c&&(g.trigger(\"ajaxComplete\",[E,d]),--w.active||w.event.trigger(\"ajaxStop\")))}return E},getJSON:function(e,t,n){return w.get(e,t,n,\"json\")},getScript:function(e,t){return w.get(e,void 0,t,\"script\")}}),w.each([\"get\",\"post\"],(function(e,t){w[t]=function(e,n,r,i){return h(n)&&(i=i||r,r=n,n=void 0),w.ajax(w.extend({url:e,type:t,dataType:i,data:n,success:r},w.isPlainObject(e)&&e))}})),w.ajaxPrefilter((function(e){var t;for(t in e.headers)\"content-type\"===t.toLowerCase()&&(e.contentType=e.headers[t]||\"\")})),w._evalUrl=function(e,t,n){return w.ajax({url:e,type:\"GET\",dataType:\"script\",cache:!0,async:!1,global:!1,converters:{\"text script\":function(){}},dataFilter:function(e){w.globalEval(e,t,n)}})},w.fn.extend({wrapAll:function(e){var t;return this[0]&&(h(e)&&(e=e.call(this[0])),t=w(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map((function(){for(var e=this;e.firstElementChild;)e=e.firstElementChild;return e})).append(this)),this},wrapInner:function(e){return h(e)?this.each((function(t){w(this).wrapInner(e.call(this,t))})):this.each((function(){var t=w(this),n=t.contents();n.length?n.wrapAll(e):t.append(e)}))},wrap:function(e){var t=h(e);return this.each((function(n){w(this).wrapAll(t?e.call(this,n):e)}))},unwrap:function(e){return this.parent(e).not(\"body\").each((function(){w(this).replaceWith(this.childNodes)})),this}}),w.expr.pseudos.hidden=function(e){return!w.expr.pseudos.visible(e)},w.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},w.ajaxSettings.xhr=function(){try{return new e.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=w.ajaxSettings.xhr();d.cors=!!$t&&\"withCredentials\"in $t,d.ajax=$t=!!$t,w.ajaxTransport((function(t){var n,r;if(d.cors||$t&&!t.crossDomain)return{send:function(i,o){var a,s=t.xhr();if(s.open(t.type,t.url,t.async,t.username,t.password),t.xhrFields)for(a in t.xhrFields)s[a]=t.xhrFields[a];for(a in t.mimeType&&s.overrideMimeType&&s.overrideMimeType(t.mimeType),t.crossDomain||i[\"X-Requested-With\"]||(i[\"X-Requested-With\"]=\"XMLHttpRequest\"),i)s.setRequestHeader(a,i[a]);n=function(e){return function(){n&&(n=r=s.onload=s.onerror=s.onabort=s.ontimeout=s.onreadystatechange=null,\"abort\"===e?s.abort():\"error\"===e?\"number\"!=typeof s.status?o(0,\"error\"):o(s.status,s.statusText):o(Bt[s.status]||s.status,s.statusText,\"text\"!==(s.responseType||\"text\")||\"string\"!=typeof s.responseText?{binary:s.response}:{text:s.responseText},s.getAllResponseHeaders()))}},s.onload=n(),r=s.onerror=s.ontimeout=n(\"error\"),void 0!==s.onabort?s.onabort=r:s.onreadystatechange=function(){4===s.readyState&&e.setTimeout((function(){n&&r()}))},n=n(\"abort\");try{s.send(t.hasContent&&t.data||null)}catch(e){if(n)throw e}},abort:function(){n&&n()}}})),w.ajaxPrefilter((function(e){e.crossDomain&&(e.contents.script=!1)})),w.ajaxSetup({accepts:{script:\"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript\"},contents:{script:/\\b(?:java|ecma)script\\b/},converters:{\"text script\":function(e){return w.globalEval(e),e}}}),w.ajaxPrefilter(\"script\",(function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type=\"GET\")})),w.ajaxTransport(\"script\",(function(e){var t,n;if(e.crossDomain||e.scriptAttrs)return{send:function(r,i){t=w(\"" ], "text/plain": [ "Column\n", " [0] Markdown(str)\n", " [1] Row\n", " [0] TextInput(name='file name', placeholder='Enter a file name...', width=200)\n", " [1] Select(name='file format', options=['png', 'pdf'], value='png', width=60)\n", " [2] IntInput(name='dpi', placeholder='Enter the dip...', start=0, value=100, width=200)\n", " [2] Row\n", " [0] Button(button_type='primary', name='export', width=100)\n", " [1] StaticText(width=800)" ] }, "execution_count": 3, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1002" } }, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data.plt.cluster_scatter(res_key='author_cell_type')" ] }, { "cell_type": "markdown", "id": "1a7b99fd-3e2a-4a76-9f43-02249dd488f8", "metadata": {}, "source": [ "## Co-occurrence analysis" ] }, { "cell_type": "markdown", "id": "7d5da9ea", "metadata": {}, "source": [ "Here provides two method for calculate co-occurence, `'squidpy'` for method in Squidpy, `'stereopy'` for method in Stereopy by default." ] }, { "cell_type": "code", "execution_count": 4, "id": "8778e2ae-cad5-4844-8952-1d8dc68a7c70", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T08:33:59.044495Z", "iopub.status.busy": "2023-11-13T08:33:59.044010Z", "iopub.status.idle": "2023-11-13T08:34:38.772203Z", "shell.execute_reply": "2023-11-13T08:34:38.770991Z", "shell.execute_reply.started": "2023-11-13T08:33:59.044461Z" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-13 16:33:59][Stereo][177753][MainThread][139984851941184][st_pipeline][77][INFO]: register algorithm co_occurrence to \n" ] }, { "data": { "text/plain": [ "AnnData object with n_obs × n_vars = 31600 × 21319\n", " obs: 'assay_ontology_term_id', 'self_reported_ethnicity_ontology_term_id', 'is_primary_data', 'organism_ontology_term_id', 'sample', 'tissue_ontology_term_id', 'disease_state', 'sex_ontology_term_id', 'genotype', 'development_stage_ontology_term_id', 'author_cell_type', 'cell_type_ontology_term_id', 'disease_ontology_term_id', 'donor_id', 'suspension_type', 'cell_type', 'assay', 'disease', 'organism', 'sex', 'tissue', 'self_reported_ethnicity', 'development_stage'\n", " var: 'feature_is_filtered', 'feature_name', 'feature_reference', 'feature_biotype'\n", " uns: 'schema_version', 'title', 'sn', 'co-occurrence'\n", " obsm: 'X_spatial', 'spatial'" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.tl.co_occurrence(\n", " method='stereopy',\n", " cluster_res_key='author_cell_type', \n", " res_key='co-occurrence',\n", " dist_thres=180, # max threshold to measure co-occurence\n", " steps=6, # step numbers to divide threshold interval evenly\n", " genelist=None,\n", " gene_thresh=0, # min threshold for gene expression in a cell\n", " n_jobs=-1\n", " )" ] }, { "cell_type": "markdown", "id": "d19937f4-08ea-457e-8f84-3d88abc668c6", "metadata": {}, "source": [ "Each plot represents, along with the increase of distance, the probability of co-occurrence between the cluster in title and other clusters." ] }, { "cell_type": "markdown", "id": "ca58d12e", "metadata": {}, "source": [ "
\n", "\n", "**Note**\n", "\n", "Each mark on x-axis represents a distance interval but not a single value. For example, 50 means the interval from 0 to 50 while 100 is from 50 to 100 and so on.\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": 5, "id": "2d66b9b6-5df6-4fc6-af8c-28595e09e17d", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T08:34:38.774745Z", "iopub.status.busy": "2023-11-13T08:34:38.773868Z", "iopub.status.idle": "2023-11-13T08:34:43.100905Z", "shell.execute_reply": "2023-11-13T08:34:43.099827Z", "shell.execute_reply.started": "2023-11-13T08:34:38.774712Z" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-13 16:34:38][Stereo][177753][MainThread][139984851941184][plot_collection][82][INFO]: register plot_func co_occurrence_plot to \n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "
\n", "
\n", "" ], "text/plain": [ "Column\n", " [0] Markdown(str)\n", " [1] Row\n", " [0] TextInput(name='file name', placeholder='Enter a file name...', width=200)\n", " [1] Select(name='file format', options=['png', 'pdf'], value='png', width=60)\n", " [2] IntInput(name='dpi', placeholder='Enter the dip...', start=0, value=100, width=200)\n", " [2] Row\n", " [0] Button(button_type='primary', name='export', width=100)\n", " [1] StaticText(width=800)" ] }, "execution_count": 5, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1013" } }, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data.plt.co_occurrence_plot(res_key='co-occurrence')" ] }, { "cell_type": "markdown", "id": "9318e86d-feb3-4968-97ec-3ebad77e4be3", "metadata": {}, "source": [ "Each heatmap represents, under different distance interval in title, the probability of co-occurrence between each clusters." ] }, { "cell_type": "markdown", "id": "3ec63732", "metadata": {}, "source": [ "
\n", "\n", "**Note**\n", " \n", "Similar to the plots above, the values in title represent a distance interval, for example, 30 is the interval from 0 to 30 while 60 is from 30 to 60 and so on.\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": 6, "id": "d191d722-14e5-40d4-9642-d4b8d409dbea", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T08:34:43.102422Z", "iopub.status.busy": "2023-11-13T08:34:43.102059Z", "iopub.status.idle": "2023-11-13T08:34:46.387460Z", "shell.execute_reply": "2023-11-13T08:34:46.386584Z", "shell.execute_reply.started": "2023-11-13T08:34:43.102396Z" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-13 16:34:43][Stereo][177753][MainThread][139984851941184][plot_collection][82][INFO]: register plot_func co_occurrence_heatmap to \n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "
\n", "
\n", "" ], "text/plain": [ "Column\n", " [0] Markdown(str)\n", " [1] Row\n", " [0] TextInput(name='file name', placeholder='Enter a file name...', width=200)\n", " [1] Select(name='file format', options=['png', 'pdf'], value='png', width=60)\n", " [2] IntInput(name='dpi', placeholder='Enter the dip...', start=0, value=100, width=200)\n", " [2] Row\n", " [0] Button(button_type='primary', name='export', width=100)\n", " [1] StaticText(width=800)" ] }, "execution_count": 6, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1023" } }, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data.plt.co_occurrence_heatmap(res_key='co-occurrence', cluster_res_key='author_cell_type')" ] }, { "cell_type": "markdown", "id": "dc1b7ce9-15d4-4c77-8931-89fc60362ea0", "metadata": { "execution": { "iopub.execute_input": "2023-10-16T02:31:43.946424Z", "iopub.status.busy": "2023-10-16T02:31:43.945115Z", "iopub.status.idle": "2023-10-16T02:31:43.953554Z", "shell.execute_reply": "2023-10-16T02:31:43.951721Z", "shell.execute_reply.started": "2023-10-16T02:31:43.946338Z" }, "tags": [] }, "source": [ "## Co-occurrence with a gene list\n", "\n", "Stereopy's co-occurrence also implement a method to calculate co-occurrence between genes and celltype by regrading cells of which genes express higher than `gene_thresh` (gene threshold) as a cluster. Here we use the marker genes of each cell types for instance." ] }, { "cell_type": "code", "execution_count": 7, "id": "e6827ba5-8b87-4732-8d37-b3d917a74861", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T08:34:46.399450Z", "iopub.status.busy": "2023-11-13T08:34:46.399056Z", "iopub.status.idle": "2023-11-13T08:56:16.435559Z", "shell.execute_reply": "2023-11-13T08:56:16.434550Z", "shell.execute_reply.started": "2023-11-13T08:34:46.399424Z" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "AnnData object with n_obs × n_vars = 31600 × 21319\n", " obs: 'assay_ontology_term_id', 'self_reported_ethnicity_ontology_term_id', 'is_primary_data', 'organism_ontology_term_id', 'sample', 'tissue_ontology_term_id', 'disease_state', 'sex_ontology_term_id', 'genotype', 'development_stage_ontology_term_id', 'author_cell_type', 'cell_type_ontology_term_id', 'disease_ontology_term_id', 'donor_id', 'suspension_type', 'cell_type', 'assay', 'disease', 'organism', 'sex', 'tissue', 'self_reported_ethnicity', 'development_stage'\n", " var: 'feature_is_filtered', 'feature_name', 'feature_reference', 'feature_biotype'\n", " uns: 'schema_version', 'title', 'sn', 'co-occurrence', 'co-occurrence_gene'\n", " obsm: 'X_spatial', 'spatial'" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gene_list = ['ENSMUSG00000030945', 'ENSMUSG00000035783', 'ENSMUSG00000023013',\n", " 'ENSMUSG00000043144', 'ENSMUSG00000026394', 'ENSMUSG00000022748',\n", " 'ENSMUSG00000028017', 'ENSMUSG00000062515', 'ENSMUSG00000021765',\n", " 'ENSMUSG00000018339', 'ENSMUSG00000073421', 'ENSMUSG00000060586',\n", " 'ENSMUSG00000032758', 'ENSMUSG00000035202', 'ENSMUSG00000069516',\n", " 'ENSMUSG00000092341', 'ENSMUSG00000025608', 'ENSMUSG00000070645',\n", " 'ENSMUSG00000026678', 'ENSMUSG00000040808', 'ENSMUSG00000027202',\n", " 'ENSMUSG00000031766', 'ENSMUSG00000049775', 'ENSMUSG00000030963']\n", "\n", "data.tl.co_occurrence(\n", " method='stereopy',\n", " cluster_res_key='author_cell_type', \n", " res_key='co-occurrence_gene',\n", " dist_thres=180, # max threshold to measure co-occurence\n", " steps=6, # step numbers to divide threshold interval evenly\n", " genelist=gene_list,\n", " gene_thresh=2, # min threshold for gene expression in a cell\n", " n_jobs=-1\n", " )" ] }, { "cell_type": "code", "execution_count": 8, "id": "74becf87-cf40-4cf4-9966-5b8dbabf1190", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T08:56:16.437282Z", "iopub.status.busy": "2023-11-13T08:56:16.436905Z", "iopub.status.idle": "2023-11-13T08:56:23.711768Z", "shell.execute_reply": "2023-11-13T08:56:23.710721Z", "shell.execute_reply.started": "2023-11-13T08:56:16.437253Z" }, "tags": [] }, "outputs": [ { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "
\n", "
\n", "" ], "text/plain": [ "Column\n", " [0] Markdown(str)\n", " [1] Row\n", " [0] TextInput(name='file name', placeholder='Enter a file name...', width=200)\n", " [1] Select(name='file format', options=['png', 'pdf'], value='png', width=60)\n", " [2] IntInput(name='dpi', placeholder='Enter the dip...', start=0, value=100, width=200)\n", " [2] Row\n", " [0] Button(button_type='primary', name='export', width=100)\n", " [1] StaticText(width=800)" ] }, "execution_count": 8, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1033" } }, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data.plt.co_occurrence_plot(res_key='co-occurrence_gene')" ] }, { "cell_type": "markdown", "id": "f8d9ec6d-1713-4ffa-a93e-086ded58f41b", "metadata": { "execution": { "iopub.execute_input": "2023-10-16T03:05:10.686930Z", "iopub.status.busy": "2023-10-16T03:05:10.685434Z", "iopub.status.idle": "2023-10-16T03:05:10.731313Z", "shell.execute_reply": "2023-10-16T03:05:10.730148Z", "shell.execute_reply.started": "2023-10-16T03:05:10.686868Z" }, "tags": [] }, "source": [ "## On multi-sample\n", "\n", "Here also provide a metrics to analysis multi-sample co-occurrence. The metrics include **integrate** and **compare**, which is controled by a parameter called `scope`. Integrate analysis will be conducted when scope is seperated by **','** like ```scope = 'WT,BTBR'``` and otherwise by **'|'** like ```scope = 'WT|BTBR'```. In this demo, we will show both two." ] }, { "cell_type": "markdown", "id": "24d1c984-b56e-4bd5-bd9f-67b28b687107", "metadata": {}, "source": [ "### Load the other one from BTBR" ] }, { "cell_type": "code", "execution_count": 9, "id": "bfa0ab54-e857-47d3-9a00-161b1c8eaaaf", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T08:56:23.717379Z", "iopub.status.busy": "2023-11-13T08:56:23.716970Z", "iopub.status.idle": "2023-11-13T08:56:24.526694Z", "shell.execute_reply": "2023-11-13T08:56:24.525408Z", "shell.execute_reply.started": "2023-11-13T08:56:23.717355Z" }, "tags": [] }, "outputs": [], "source": [ "data_btbr = st.io.read_h5ad('../data/Puck_191204_15.h5ad')\n", "data_btbr.position = data_btbr._ann_data.obsm['X_spatial']" ] }, { "cell_type": "code", "execution_count": 10, "id": "8e01ebf2-7885-41ad-81a0-566a0c6cc9c4", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T08:56:24.528190Z", "iopub.status.busy": "2023-11-13T08:56:24.527931Z", "iopub.status.idle": "2023-11-13T08:56:50.257919Z", "shell.execute_reply": "2023-11-13T08:56:50.257157Z", "shell.execute_reply.started": "2023-11-13T08:56:24.528167Z" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-13 16:56:24][Stereo][177753][MainThread][139984851941184][st_pipeline][77][INFO]: register algorithm co_occurrence to \n" ] }, { "data": { "text/plain": [ "AnnData object with n_obs × n_vars = 35132 × 21239\n", " obs: 'assay_ontology_term_id', 'self_reported_ethnicity_ontology_term_id', 'is_primary_data', 'organism_ontology_term_id', 'sample', 'tissue_ontology_term_id', 'disease_state', 'sex_ontology_term_id', 'genotype', 'development_stage_ontology_term_id', 'author_cell_type', 'cell_type_ontology_term_id', 'disease_ontology_term_id', 'donor_id', 'suspension_type', 'cell_type', 'assay', 'disease', 'organism', 'sex', 'tissue', 'self_reported_ethnicity', 'development_stage'\n", " var: 'feature_is_filtered', 'feature_name', 'feature_reference', 'feature_biotype'\n", " uns: 'schema_version', 'title', 'sn', 'co-occurrence'\n", " obsm: 'X_spatial', 'spatial'" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_btbr.tl.co_occurrence(\n", " method='stereopy',\n", " cluster_res_key='author_cell_type', \n", " res_key='co-occurrence',\n", " dist_thres=180, # max threshold to measure co-occurence\n", " steps=6, # step numbers to divide threshold interval evenly\n", " genelist=None,\n", " gene_thresh=0, # min threshold for gene expression in a cell\n", " n_jobs=-1\n", " )" ] }, { "cell_type": "markdown", "id": "1cad05ec-4b19-4c38-9d13-a1b4723397d1", "metadata": {}, "source": [ "### MSData construction" ] }, { "cell_type": "code", "execution_count": 11, "id": "6571b1a3-e42f-467c-91d9-015df3deb532", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T08:56:50.259536Z", "iopub.status.busy": "2023-11-13T08:56:50.259196Z", "iopub.status.idle": "2023-11-13T08:56:50.265142Z", "shell.execute_reply": "2023-11-13T08:56:50.264534Z", "shell.execute_reply.started": "2023-11-13T08:56:50.259513Z" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "ms_data: {'WT': (31600, 21319), 'BTBR': (35132, 21239)}\n", "num_slice: 2\n", "names: ['WT', 'BTBR']\n", "obs: []\n", "var: []\n", "relationship: other\n", "var_type: intersect to 0\n", "mss: []" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ms_data = MSData()\n", "ms_data['WT'] = data\n", "ms_data['BTBR'] = data_btbr\n", "ms_data" ] }, { "cell_type": "code", "execution_count": 12, "id": "19b750b3-b371-4742-a487-41acbba8d405", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T08:56:50.266905Z", "iopub.status.busy": "2023-11-13T08:56:50.266468Z", "iopub.status.idle": "2023-11-13T08:56:51.402317Z", "shell.execute_reply": "2023-11-13T08:56:51.401243Z", "shell.execute_reply.started": "2023-11-13T08:56:50.266881Z" }, "tags": [] }, "outputs": [], "source": [ "ms_data.integrate()\n", "ms_data.to_integrate(res_key = 'author_cell_type', scope = slice_generator[:], _from=slice_generator[:], type='obs', item=['author_cell_type']*ms_data.num_slice)" ] }, { "cell_type": "markdown", "id": "c789fa7a-62cc-41c7-9dc9-679af0bdaf3a", "metadata": {}, "source": [ "### Integrate metrics" ] }, { "cell_type": "code", "execution_count": 13, "id": "0ee50c1c-ba98-4379-9deb-268401d49563", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T08:56:51.403838Z", "iopub.status.busy": "2023-11-13T08:56:51.403485Z", "iopub.status.idle": "2023-11-13T08:56:51.408396Z", "shell.execute_reply": "2023-11-13T08:56:51.407235Z", "shell.execute_reply.started": "2023-11-13T08:56:51.403813Z" } }, "outputs": [], "source": [ "from stereo.algorithm.co_occurrence import CoOccurrence" ] }, { "cell_type": "code", "execution_count": 15, "id": "1c8d7610-00da-44b8-8479-492134044fa1", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T09:03:15.934065Z", "iopub.status.busy": "2023-11-13T09:03:15.933704Z", "iopub.status.idle": "2023-11-13T09:03:16.008180Z", "shell.execute_reply": "2023-11-13T09:03:16.007185Z", "shell.execute_reply.started": "2023-11-13T09:03:15.934036Z" } }, "outputs": [], "source": [ "CoOccurrence.ms_co_occur_integrate(\n", " ms_data=ms_data,\n", " scope='WT,BTBR',\n", " use_col='author_cell_type',\n", " res_key='co-occurrence'\n", ")" ] }, { "cell_type": "code", "execution_count": 16, "id": "e7c84b0f-a21a-4a3f-9831-9667c9120a8a", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T09:03:17.322559Z", "iopub.status.busy": "2023-11-13T09:03:17.321981Z", "iopub.status.idle": "2023-11-13T09:03:20.684572Z", "shell.execute_reply": "2023-11-13T09:03:20.683406Z", "shell.execute_reply.started": "2023-11-13T09:03:17.322521Z" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-13 17:03:17][Stereo][177753][MainThread][139984851941184][ms_pipeline][128][INFO]: register plot_func co_occurrence_heatmap to -139977635259632\n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "
\n", "
\n", "" ], "text/plain": [ "Column\n", " [0] Markdown(str)\n", " [1] Row\n", " [0] TextInput(name='file name', placeholder='Enter a file name...', width=200)\n", " [1] Select(name='file format', options=['png', 'pdf'], value='png', width=60)\n", " [2] IntInput(name='dpi', placeholder='Enter the dip...', start=0, value=100, width=200)\n", " [2] Row\n", " [0] Button(button_type='primary', name='export', width=100)\n", " [1] StaticText(width=800)" ] }, "execution_count": 16, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1043" } }, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ms_data.plt.co_occurrence_heatmap(res_key='co-occurrence', cluster_res_key='author_cell_type')" ] }, { "cell_type": "markdown", "id": "0156d6f4-e95a-45ed-a354-2c7e729ded52", "metadata": {}, "source": [ "### Compare metrics" ] }, { "cell_type": "code", "execution_count": 17, "id": "48be2b95-16e5-407e-9be1-2cf85e492dd0", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T09:03:25.679028Z", "iopub.status.busy": "2023-11-13T09:03:25.678466Z", "iopub.status.idle": "2023-11-13T09:03:25.741490Z", "shell.execute_reply": "2023-11-13T09:03:25.740798Z", "shell.execute_reply.started": "2023-11-13T09:03:25.678984Z" } }, "outputs": [], "source": [ "CoOccurrence.ms_co_occur_integrate(\n", " ms_data=ms_data,\n", " scope='WT|BTBR',\n", " use_col='author_cell_type',\n", " res_key='co-occurrence'\n", ")" ] }, { "cell_type": "code", "execution_count": 19, "id": "98298ab7-b14f-4013-a364-3b13935fa4be", "metadata": { "execution": { "iopub.execute_input": "2023-11-13T09:03:32.191591Z", "iopub.status.busy": "2023-11-13T09:03:32.191312Z", "iopub.status.idle": "2023-11-13T09:03:36.313351Z", "shell.execute_reply": "2023-11-13T09:03:36.312457Z", "shell.execute_reply.started": "2023-11-13T09:03:32.191566Z" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-13 17:03:32][Stereo][177753][MainThread][139984851941184][ms_pipeline][128][INFO]: register plot_func co_occurrence_heatmap to -139977635259632\n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "
\n", "
\n", "" ], "text/plain": [ "Column\n", " [0] Markdown(str)\n", " [1] Row\n", " [0] TextInput(name='file name', placeholder='Enter a file name...', width=200)\n", " [1] Select(name='file format', options=['png', 'pdf'], value='png', width=60)\n", " [2] IntInput(name='dpi', placeholder='Enter the dip...', start=0, value=100, width=200)\n", " [2] Row\n", " [0] Button(button_type='primary', name='export', width=100)\n", " [1] StaticText(width=800)" ] }, "execution_count": 19, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1053" } }, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ms_data.plt.co_occurrence_heatmap(res_key='co-occurrence', cluster_res_key='author_cell_type')" ] } ], "metadata": { "kernelspec": { "display_name": "stereopy", "language": "python", "name": "stereopy" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.17" } }, "nbformat": 4, "nbformat_minor": 5 }